CN114418463A

CN114418463A - Ship task management method, system, device and readable storage medium

Info

Publication number: CN114418463A
Application number: CN202210310017.1A
Authority: CN
Inventors: 柏宗翰; 胡艳梅; 李彦瑾
Original assignee: Hebei Donglai Engineering Technology Service Co ltd
Current assignee: Hebei Donglai Engineering Technology Service Co ltd
Priority date: 2022-03-28
Filing date: 2022-03-28
Publication date: 2022-04-29
Anticipated expiration: 2042-03-28
Also published as: CN114418463B; CN115049308A

Abstract

The embodiment of the specification provides a ship task management method, a ship task management system, a ship task management device and a readable storage medium. The method can be realized by a system and a device for ship task management. The method may also be performed after being read by computer instructions stored on a computer-readable storage medium. According to the invention, the task list is updated in real time through the state information of the ship, and the executive personnel is instructed to execute the related tasks, so that the management structure can be optimized, and the production efficiency is improved.

Description

Ship task management method, system, device and readable storage medium

Technical Field

The present disclosure relates to the field of ship management, and more particularly, to a method, system, apparatus, and readable storage medium for ship task management.

Background

With the rapid development of shipping industry, the management of ships in water areas is more complicated. Meanwhile, the ship management influences multiple aspects such as ship navigation safety, water area environment, personnel safety and the like, and the specialized ship management can improve the resource utilization efficiency to the maximum extent, reduce the cost, ensure the safety of crew, improve the service quality and the like.

It is therefore desirable to provide a method, system, apparatus and readable storage medium for ship mission management to specialize the management of missions on ships.

Disclosure of Invention

One of the embodiments of the present specification provides a method for ship task management, where the method includes: acquiring ship state information; updating a task list in at least one task management system based on the ship state information, wherein the task list comprises at least one task and corresponding task information; determining a first task based on the updated task list, and generating a first instruction based on the first task, wherein the first instruction comprises relevant information of a target executive who executes the first instruction; and sending the first instruction to the target executive personnel based on the position of the target executive personnel.

One of the embodiments of the present specification provides a system for ship task management, including: the acquisition module is used for acquiring ship state information; the updating module is used for updating a task list in at least one task management system based on the ship state information, wherein the task list comprises at least one task and corresponding task information; the determining module is used for determining a first task based on the updated task list and generating a first instruction based on the first task, wherein the first instruction comprises relevant information of a target executive who executes the first instruction; and the sending module is used for sending the first instruction to the target executive personnel based on the position of the target executive personnel.

One of the embodiments of the present specification provides an apparatus for ship mission management, including at least one processor and at least one memory, where the at least one memory is used for storing computer instructions, and the at least one processor is used for executing a ship mission management method.

One of the embodiments of the present specification provides a computer-readable storage medium, where the storage medium stores computer instructions, and when the computer reads the computer instructions in the storage medium, the computer executes the ship task management method according to any one of the embodiments.

Drawings

The present description will be further explained by way of exemplary embodiments, which will be described in detail by way of the accompanying drawings. These embodiments are not intended to be limiting, and in these embodiments like numerals are used to indicate like structures, wherein:

FIG. 1 is a schematic diagram of an application scenario of a task management system according to some embodiments of the present description;

FIG. 2 is an exemplary block diagram of a task management system, shown in accordance with some embodiments of the present description;

FIG. 3 is an exemplary flow diagram of task management in ship management according to some embodiments described herein;

FIG. 4 is an exemplary diagram illustrating updating a task list according to some embodiments of the present description;

FIG. 5 is an exemplary flow diagram illustrating the generation of a first instruction according to some embodiments of the present description.

Detailed Description

In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings used in the description of the embodiments will be briefly described below. It is obvious that the drawings in the following description are only examples or embodiments of the present description, and that for a person skilled in the art, the present description can also be applied to other similar scenarios on the basis of these drawings without inventive effort. Unless otherwise apparent from the context, or otherwise indicated, like reference numbers in the figures refer to the same structure or operation.

It should be understood that "system", "apparatus", "unit" and/or "module" as used herein is a method for distinguishing different components, elements, parts, portions or assemblies at different levels. However, other words may be substituted by other expressions if they accomplish the same purpose.

As used in this specification and the appended claims, the terms "a," "an," "the," and/or "the" are not intended to be inclusive in the singular, but rather are intended to be inclusive in the plural, unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that steps and elements are included which are explicitly identified, that the steps and elements do not form an exclusive list, and that a method or apparatus may include other steps or elements.

Flow charts are used in this description to illustrate operations performed by a system according to embodiments of the present description. It should be understood that the preceding or following operations are not necessarily performed in the exact order in which they are performed. Rather, the various steps may be processed in reverse order or simultaneously. Meanwhile, other operations may be added to the processes, or a certain step or several steps of operations may be removed from the processes.

FIG. 1 is a schematic diagram of an application scenario of a task management system according to some embodiments of the present description.

As shown in fig. 1, an application scenario 100 according to an embodiment of the present disclosure may include a server 110, a network 120, a storage device 130, a user terminal 140, and a ship acquisition apparatus 150.

In some embodiments, the mission management system may be used for mission scheduling and execution, personnel scheduling, etc. in ship management. In some embodiments, the mission management system may be deployed in a vessel management center for managing a plurality of vessels. The ship management center may be used to manage the transportation and operation of a plurality of ships. For example, the ship management center may be a management center of a dock. In some embodiments, the task management system may also be deployed on a ship for managing the transportation and operation of the ship. The task management system can implement the task management in the ship management by implementing the method and/or the process disclosed in the specification.

The server 110 may be used to obtain and process information and/or data related to the task management system. For example, the server 110 may obtain the ship state information collected by the ship collection device 150 and update the task list in at least one task management system based on the ship state information. For another example, the server 110 may determine a first task based on the updated task list, generate a first instruction based on the first task, and send the first instruction to the target human executive based on the location of the target human executive. In some embodiments, the server 110 may be a single server or a server farm. In some embodiments, the server 110 may be local or remote.

Network 120 may include any suitable network capable of providing information and/or data exchange that facilitates a task management system. In some embodiments, one or more components of the task management system may send information and/or data to other components in the task management system via network 120. For example, the server 110 may obtain the ship status information collected or input on the ship collection device 150 via the network 120. As another example, server 110 may access data and/or instructions stored by storage device 130 via network 120. Network 120 may include a Local Area Network (LAN), a Wide Area Network (WAN), a wired network, a wireless network, and the like, or any combination thereof.

Storage device 130 may be used to store data, instructions, and/or any other information. In some embodiments, storage device 130 may store information and/or data obtained from server 110 and/or vessel acquisition device 150. For example, the storage device 130 may store vessel state information obtained in the vessel acquisition device 150. In some embodiments, storage device 130 may store data and/or instructions that server 110 uses to perform or use to perform the example methods described in this specification. In some embodiments, the storage device 130 may be disposed in the marine harvesting apparatus 150. In some embodiments, storage 130 may include mass storage, removable storage, and the like, or any combination thereof.

User terminal 140 may refer to one or more terminal devices or software used by a user. In some embodiments, the user terminal 140 may include one or any combination of other devices with input and/or output capabilities, such as a mobile device, a tablet computer, a laptop computer, and a desktop computer. In some embodiments, the user terminal 140 may be fixed and/or mobile. For example, the user terminal 140 may be fixed to the ship collecting apparatus 150, or may be a mobile terminal. In some embodiments, the user terminal 140 may be used to display vessel status information and/or a task list for viewing by a user. In some embodiments, the user terminal 140 may also be configured to receive data input by a user and to issue instructions to the user, for example, the user terminal 140 may receive ship status information input by the user and may also issue instructions to a target executive. The above examples are merely illustrative of the broad scope of the user terminal 140 device and are not limiting of its scope.

The marine vessel acquisition device 150 may be a device on a marine vessel that acquires relevant information, and the marine vessel acquisition device 150 may be disposed at various locations on the hull (e.g., deck, etc.). For example, the vessel acquisition device 150 may be used to acquire vessel status information. In some embodiments, the vessel acquisition device 150 may be used to acquire vessel status information. In some embodiments, the marine acquisition device 150 may include, but is not limited to, a positioning sensor, a speed sensor, a pressure sensor, a temperature sensor, an ultrasonic sensor, and the like. In some embodiments, the collected ship status information may be transmitted to the storage device 130 via the network 120, or may be transmitted to the user terminal 140 via the network 120, and may be displayed on the user terminal 140. In some embodiments, the ship acquisition device 150 may be communicatively coupled to the server 110 via the network 120 and may execute instructions issued by the server 110.

FIG. 2 is an exemplary block diagram of a task management system 200 shown in accordance with some embodiments of the present description.

As shown in FIG. 2, in some embodiments, the task management system 200 may include an acquisition module 210, an update module 220, a determination module 230, and a sending module 240.

In some embodiments, the acquisition module 210 may be used to acquire vessel status information.

In some embodiments, the update module 220 may be configured to update a task list in at least one task management system based on the state information of the vessel, the task list including at least one task and its corresponding task information.

In some embodiments, the updating module 220 may be further configured to determine an additional task and task information corresponding to the additional task based on the ship state information, and add the additional task and the task information corresponding to the additional task to the task list to update the task list in the at least one task management system.

In some embodiments, the determination module 230 may be configured to determine a first task based on the updated task list and generate a first instruction based on the first task, the first instruction including information about a target executive who executed the first instruction.

In some embodiments, the determining module 230 may be further configured to process the ship state vector based on the execution information determining model, and determine the execution information of the new task; and processing the execution information and the priority information of the tasks in the task list and the execution information of the newly added tasks based on a priority distribution model, and determining the priority information of the newly added tasks.

In some embodiments, the determination module 230 may be further configured to obtain status information of the at least one executive, determine a target executive performing the first task based on the status information of the first task and the at least one executive, determine an instruction parameter based on the first task and the target executive, and generate the first instruction based on the instruction parameter.

In some embodiments, the sending module 240 may be configured to send the first instruction to the target human actor based on the location of the target human actor.

See fig. 3-5 for more on the acquisition module 210, the update module 220, the determination module 230, and the sending module 240.

It should be understood that the system and its modules shown in FIG. 2 may be implemented in a variety of ways. For example, in some embodiments, the system and its modules may be implemented in hardware, software, or a combination of software and hardware.

It should be noted that the above description of the system and its modules is for convenience only and should not limit the present disclosure to the illustrated embodiments. It will be appreciated by those skilled in the art that, given the teachings of the present system, any combination of modules or sub-system configurations may be used to connect to other modules without departing from such teachings. In some embodiments, the obtaining module 210, the updating module 220, the determining module 230, and the sending module 240 disclosed in fig. 2 may be different modules in a system, or may be a module that implements the functions of two or more modules described above. For example, each module may share one memory module, and each module may have its own memory module. Such variations are within the scope of the present disclosure.

Fig. 3 is an exemplary flow diagram of a ship mission management method according to some embodiments described herein. In some embodiments, flow 300 may be performed by a server (e.g., server 110). For example, the process 300 may be stored in a storage device in the form of a program or instructions, and the process 300 may be implemented when the server or the module shown in fig. 2 executes the program or instructions. In some embodiments, flow 300 may utilize one or more additional operations not described below, and/or be accomplished without one or more of the operations discussed below. As shown in fig. 3, the process 300 includes the following steps:

at step 310, ship state information is obtained. In some embodiments, step 310 may be performed by acquisition module 210.

The ship state information may refer to information related to a ship. In some embodiments, the vessel state information may include physical state information of the hull itself, environmental state information around the hull, and the like. The physical state information of the ship body can comprise a heading angle, a heading speed, ship body temperature (for example, the temperature collected by temperature sensors at different positions on the ship body), ship body stress conditions (for example, the pressure conditions and the wind conditions of different positions on the ship body, and the like), ship body draft, the operation conditions of ship body control equipment (for example, the operation conditions of a rudder, an engine, and the like), the residual oil quantity of an oil tank, and the like. The environmental status information around the hull may include sea state information, wind state information, and other climate information (e.g., rain, thunderstorm, snow, etc.) within a certain distance (e.g., 200 yards) of the vicinity of the hull.

In some embodiments, the vessel state information may be collected by a vessel collection device. The marine vessel harvesting devices may be located at different locations on the hull (e.g., deck, etc.). In some embodiments, the vessel acquisition devices may include, but are not limited to, positioning sensors (for acquiring heading angle), speed sensors, pressure sensors, temperature sensors, ultrasonic sensors (for acquiring hull draft), and the like. In some embodiments, the vessel status information may also be directly observed by onboard personnel (e.g., captain or crew, etc.). For example, information such as heading angle, hull draft, operating conditions of hull control equipment, and remaining fuel in tanks can be directly observed by shipboard personnel. The collected or observed ship state information may be stored in a storage device (e.g., the storage device 130) of the mission management system in real time, or may be displayed in a user terminal (e.g., the user terminal 140) in real time.

In some embodiments, the acquisition module 210 may directly acquire vessel status information entered by on-board personnel. For example, the shipboard personnel can input the observed sea state information, wind state information, course angle and other information to the task management system through the user terminal, and the acquisition module 210 can directly acquire the ship state information input by the shipboard personnel. In some embodiments, the acquisition module 210 may acquire the vessel status information from the storage device at intervals (e.g., every 5 min).

And step 320, updating a task list in at least one task management system based on the ship state information. In some embodiments, step 320 may be performed by update module 220.

The task management system can perform deployment management on one or more tasks of the ship. For example, the server 110 in the mission management system may update the mission list, etc. based on the ship state information of the ship collecting device 150. In some embodiments, the mission management system on the vessel may include one or more, for example, may include a mission management system that manages cleaning tasks on the vessel (e.g., cleaning the deck, cabin, etc.), a mission management system that manages operating tasks of the vessel (e.g., adjusting heading, adjusting speed, etc.), and the like. For more on the task management system, refer to fig. 1, which is not described herein.

The task list may be a list of one or more tasks. In some embodiments, the task list may include one or more tasks and their corresponding task information. The mission is the work that needs to be done on the vessel. For example, tasks include cleaning the deck, inventorying life saving equipment, and the like. An exemplary task list (table 1) is as follows:

task labeling

Task content

Task location

Status information

First priority

Second priority

Scheduled start time

Scheduled end time

Target executive personnel

0010

XXX

Main deck

In execution

1

2

XXX

0011

XXX

Main deck

Not started

1

3

XXX

0012

XXX

Cargo hold

Not started

2

3

XXX

0013

XXX

Main deck

Not started

2

4

XXX

TABLE 1

Task information may refer to information related to a task. In some embodiments, the task information may include execution information, status information, priority information. The execution information may refer to the content of the task being performed (e.g., timing inspection deck, fuel tank, etc.), the location of the task being performed (e.g., deck, etc.). The state information may describe the execution of the task. For example, the status information may include not started, in execution, completed, failed execution, and the like.

The priority information may indicate a priority of task execution. The priority information may include a plurality of sub-priority items, the sub-priority items having a smaller value and a higher priority. For example, the sub-priority items may be a first priority, a second priority, etc., where the first priority is higher than the second priority. In some embodiments, the first priority, the second priority, the third priority, etc. in the sub-priority items may be used to reflect the urgency, the importance, the difficulty, etc. of the task, respectively. Also, sub-priority items may represent different degrees of size by different values (e.g., smaller values represent more urgent, more important, or more difficult tasks). Illustratively, the first priority may represent the urgency of the task by a value of 0-2, where 0 represents very urgent, 1 represents general urgent, and 2 represents no urgent. The second priority may represent the importance of the task by the values 0-3, where 0 represents very important, 1 represents more important, 2 represents generally important, and 3 represents not important. When executing tasks according to the priority information, the tasks with the first high priority can be executed preferentially, and when the first priority is the same, the tasks with the second high priority are executed. For example, taking table 1 as an example, if the first priorities of the tasks with task number 0010 and task number 0011 are both 1, and the first priorities of the tasks with task number 0012 and task number 0013 are both 2, it means that the priorities of the tasks with task number 0010 and task number 0011 are the same, the priorities of the tasks with task number 0012 and task number 0013 are the same, and the urgency level of the tasks with task number 0010 and task number 0011 is higher than the urgency level of the tasks with task number 0012 and task number 0013. For another example, if the second priority values of task number 0010 and task number 0011 are 2 and 3, respectively, the importance level of the task number 0010 is higher than that of the task number 0011.

In some embodiments, the task information may also include time information, personnel scheduling information, and the like. The time information may refer to time information related to performing the task, for example, the time information may include a scheduled start time of the task, a scheduled end time of the task, and the like. The time interval between the planned start time and the planned end time of a task may be determined as the planned execution time of the task, i.e. the length of time that is planned for executing the task. Personnel scheduling information may refer to information that schedules an executive to perform a task of interest, and the executive may be a person performing the task of interest on the vessel, e.g., the executive may be a crew, a captain, etc.

In some embodiments of the present description, the task information corresponding to each task in the task list and the priorities of different tasks are determined according to the urgency, importance, and difficulty of different tasks, so that the task management system can efficiently and orderly arrange the executive staff to execute the corresponding task, thereby improving the production management efficiency.

In some embodiments, the update module 220 may update the task list in one or more task management systems based on the vessel state information. For example, a location in the hull (e.g., location a) may be subjected to excessive pressure, requiring personnel to determine the cause of the excessive pressure. The update module 220 may use "determine the cause of the overpressure at location a" as the execution information to update the task list.

In some embodiments, the update module 220 may determine an additional task and task information corresponding thereto based on the ship status information, and add the additional task and task information corresponding thereto to the task list to update the task list in one or more task management systems. See fig. 4 and its associated description for more on updating the task list.

Step 330, determining a first task based on the updated task list, and generating a first instruction based on the first task. In some embodiments, step 330 may be performed by determination module 230.

The updated task list may refer to a task list in which task information is updated, and the updated task list may include a newly added task or a task in which task information is updated. For example, the updated status information of task 1 may be "execution failure", the personnel arrangement information may be "replacement target human performer XX", and the like.

The first task may be a task that currently needs to be performed by a scheduling staff. In some embodiments, the first task may be the highest priority task in the updated task list. For example, a task with a value of 0 in the first priority. In some embodiments, the first task may also be a task whose status information in the historical task list is "executing" or "failed to execute".

In some embodiments, the determination module 230 may determine the first task based on the updated task list. For example, the determining module 230 may determine a task in the updated task list whose task information is updated as the first task.

In some embodiments, the determination module 230 may determine a task with the highest priority in the updated task list as the first task. The task with the highest priority may be determined based on the priority information. For example, the determining module 230 may determine a task of which priority information is a first priority in the updated task list as the first task.

In some embodiments, the determination module 230 may also determine the first task according to execution information of tasks in the historical task list.

In some embodiments, for a task whose status information in the historical task list is "executing", the determining module 230 may determine whether to determine the task as the first task according to a first preset rule. The first preset rule may be that a task having an execution time exceeding an execution time threshold (e.g., 5 minutes) is determined as the first task, i.e., the determination module 230 may determine a task having an execution time exceeding an execution time threshold as the first task. The execution time may be a length of time between a current point in time to a point in time when the task begins execution. For example, if the current time point is 16:30 and the time point when the task starts to execute is 16:20, the execution time may be determined to be 10 min. The execution time threshold may be a time threshold set in advance, and the execution time threshold may be a time interval between a scheduled start time and a scheduled end time (i.e., a scheduled execution time). For example. With a scheduled start time of 16:20 and a scheduled end time of 16:25, the execution time threshold may be determined to be 5 min.

In some embodiments, for a task whose status information in the historical task list is "execution failure," the determination module 230 may determine whether to determine the task as the first task according to its urgency. For example, an urgency level of 1 indicates that the task needs to be re-executed immediately, an urgency level of 2 indicates that the task can be re-executed later, and an urgency level of 3 indicates that the task can determine whether re-execution is needed according to the need. For example, the status information of task 1 in the historical task list is "execution failure", the urgency of which is 1, and the determination module 230 may determine task 1 as the first task.

In some embodiments of the present disclosure, by determining a task with the highest priority, a task with an execution time exceeding an execution time threshold, or a task with a failed execution but a high degree of urgency as a first task, it is possible to ensure that the task with the highest priority, the task with an excessively long execution time, the task with the most urgency, and the like are executed with priority, thereby optimizing the management structure of the tasks.

The first instruction may be an instruction instructing the relevant person to perform the relevant task. In some embodiments, the first instruction may include information about the targeted executive who performed the first instruction.

The target executive may be an executive performing the first task. The target human performer may include one or more human performers, and the determination module 230 may determine the number of target human performers based on the task information for the first task. For example, when the task information of the first task is cargo handling, the number of target human executives may be plural. The relevant information of the target executive may include the name of the target executive, current location information of the target executive, and the like. See fig. 4 and its associated description for more on the first instruction.

In some embodiments, the determination module 230 may generate the first instruction based on the first task. For example, the determining module 230 may generate the first instruction according to execution information, priority information, time information, and the like in task information of the first task.

In some embodiments, the determination module 230 may obtain status information of the at least one executive, determine a target executive performing the first task based on the first task and the status information of the at least one executive, determine instructional parameters based on the first task and the target executive, and generate the first instruction based on the instructional parameters. See figure 5 and its associated description for more.

And step 340, sending a first instruction to the target executive personnel based on the position of the target executive personnel. In some embodiments, step 340 may be performed by sending module 240.

The location of the target implementer may refer to the location at which the target implementer is located when the first instruction is issued. For example, the location of the target agent may be a deck, a hold, a cab, or the like. In some embodiments, the location of the targeted executive may be determined from the terminal device (e.g., user terminal 140). For example, the target executive may carry the terminal device with him, and the sending module 240 may determine the location where the terminal device carried with him by the target executive is located as the location of the target executive.

In some embodiments, the sending module 240 may send the first instruction to the target executive based on the location of the target executive. For example, the sending module 240 may send the first instruction to a terminal device carried by the target executor, and the target executor may receive the first instruction through the terminal device.

In some embodiments, the sending module 240 may send the first instruction to the target executive via a broadcast or communication device. For example, the sending module 240 may send the information related to the first instruction to the target executor through a broadcasting device at the location of the target executor. For another example, the sending module 240 may send the information related to the first instruction to the target executor through a communication device (e.g., a terminal device of the target executor, etc.). In some embodiments, the sending module 240 may also send the first instruction to the target human actor by a human. For example, the sending module 240 may send the first instruction to the instruction delivery person (e.g., the instruction delivery person may be a person who is located closer to the target executive), and the instruction delivery person may communicate information related to the first instruction to the target executive according to the location of the target executive.

In some embodiments, the sending module 240 may select different sending modes according to the content of the first instruction. For example, when a first instruction to be sent to a plurality of target executives is required, the sending module 240 may generate the first instruction by broadcasting; for another example, when a first command needs to be sent to a target executive (e.g., a captain, a crew, etc.), the sending module 240 may send the first command through the communication device.

Different modes for sending the first instruction are selected according to requirements, so that the target executive personnel can be ensured to receive the first instruction, and the confidentiality of sending the first instruction can be improved. Meanwhile, the first instruction is sent to the target executive personnel in various modes, so that the target executive personnel can be ensured to receive the instruction in time, and corresponding tasks are executed according to the instruction, and therefore the tasks are ensured to be completed in time.

In some embodiments of the present description, the task list is updated according to the ship state information, so as to determine the first task, and based on the position of the target executive who executes the first task, the first instruction is sent to the target executive, so as to monitor the completion condition of the task and the task execution condition of the executive, and the task list can be adjusted in time according to the actual condition, so as to optimize the management structure and improve the production efficiency.

FIG. 4 is an exemplary diagram 400 illustrating updating a task list according to some embodiments of the present description.

In some embodiments, the update module 220 may determine the newly added task 420 and its corresponding task information based on the vessel state information 401 and add the newly added task 420 and its corresponding task information to the task list 440 to update the task list 440 in at least one task management system.

The newly added task 420 may be a task added to the task list when updating the task list. The task information corresponding to the task in the task list 440 includes status information 441, execution information 442, and priority information 443, and similarly, the task information corresponding to the newly added task 420 includes status information 421 of the newly added task, execution information 422 of the newly added task, priority information 423 of the newly added task, and the like, and the specific meanings thereof are not described herein again.

In some embodiments, the determination module 230 may be configured to determine the status information 421 of the newly added task, for example, directly set the status information 421 of the newly added task as "not started".

In some embodiments, the determination module 230 may process the vessel state vector 402 based on the execution information determination model 410 to determine the execution information 422 of the newly added task.

The vessel state vector 402 may be a feature vector extracted based on the vessel state information 401. The vessel state vector 402 may comprise a plurality of elements, the numerical size of the different elements may represent different vessel state information 401. For example, a vessel state vector (a, b, c, d, … …), where a may represent the temperature of the nacelle; b can represent the hull draft; c may represent the wind conditions around the hull; d may represent the remaining fuel level in the fuel tank, etc. Illustratively, the ship state information is: the determining module 230 may determine that the corresponding ship state vector is (38, 1, 6, 30, … …) by the temperature of the ship cabin being 38 ℃, the draught of the ship being 1m, the wind condition around the ship being 6 grade, the remaining oil amount of the oil tank being 30%, and the like. In some embodiments, the numerical size of different elements in the vessel state vector may indicate whether the corresponding vessel state information is normal. For example, 1 indicates that certain ship state information is normal, 0 indicates that certain ship state information is abnormal, and correspondingly, a ship state vector (1, 1, 1, 0, … …) can indicate that the temperature of a cabin of the ship, the draught of a ship body, the wind condition around the ship body and the like are normal, and the residual oil quantity of a fuel tank and the like are abnormal; a ship state vector of (1, 0, 1, 0, … …) can indicate that the temperature of the engine room, the wind conditions around the ship body and the like are normal; the draught of the ship body, the residual oil quantity of the oil tank and the like are abnormal.

The execution information determination model 410 may be a model for determining execution information of the newly added task. In some embodiments, the type of execution information determination model 410 may be a Deep learning model, such as Deep Neural Networks (DNNs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and so forth. The choice of model type may be case specific.

In some embodiments, the inputs to the execution information determination model 410 may include the vessel state vector 402, etc., and the outputs of the execution information determination model 410 are the execution information 422 of the newly added task (e.g., the execution content, the execution location, etc. of the newly added task).

The parameters of the execution information determination model 410 may be acquired through training. In some embodiments, the performance information determination model 410 may be trained based on a plurality of first training samples and first labels. For example, a first training sample with a first label is input into the initial execution information determination model, a loss function is constructed through the first label and the prediction result of the initial execution information determination model, and the parameters of the model are updated iteratively based on the loss function. And when the trained model meets the preset condition, finishing the training. The preset conditions include loss function convergence, threshold reaching of iteration times and the like.

In some embodiments, the first training sample comprises a sample vessel state vector of the sample hull. The first label is sample execution information of the sample addition task. In some embodiments, the first training sample may be obtained based on historical data, for example, when the historical data is "15: 40, a water seepage phenomenon occurs at a certain place of the deck", and when the historical data is "15: 50, the deck is repaired", the training sample obtained through the historical data is "a water seepage phenomenon occurs at a certain place of the deck", and the corresponding label is "repair the deck". In some embodiments, the first label may be determined by way of manual labeling or automatic labeling. For example, the execution information of the newly added task corresponding to the ship state vector of the sample is labeled as a first label of the first training sample.

In some embodiments, the execution information determination model may output execution information for one or more additional tasks. For example, when the ship state vector input by the execution information determination model is (1, 0, 1, 0), wherein different elements in the ship state vector respectively represent that the temperature of the cabin of the ship is normal, the deck is abnormal, the wind around the hull is normal, and the remaining oil quantity of the oil tank is abnormal, the execution information determination model may output two new tasks: the execution information of the newly added task A is 'repair the deck'; and executing the new task B by 'refueling the fuel tank'. In some embodiments, the output of the execution information determination model may be 0 (i.e., representing no output result). For example, when the vessel state vector input by the execution information determination model is (1, 0, 1), wherein different elements in the vessel state vector respectively indicate that the temperature of the vessel cabin is normal, the deck is normal, and the wind condition around the hull is normal, the execution information output by the execution information determination model is 0.

In some embodiments, the updating module 220 may compare the execution information of the newly added task determined by the execution information determination model with the task condition in the task list before updating, and when the execution information of the newly added task does not exist in the task list before updating, the updating module 220 may add the currently determined newly added task and the task information corresponding to the newly added task to the task list to update the task list; the update module 220 may discard the newly added task currently determined when the execution information of the newly added task already exists in the pre-update task list.

In some embodiments, the output of the execution information determination model may also be the execution information of one or more additional tasks and their execution probabilities. For example, when the ship state vector input by the execution information determination model is (1, 0), where different elements in the ship state vector respectively indicate that the temperature of the ship cabin is normal and the deck is abnormal, the output of the execution information determination model may be that the execution information of the new task a is "repair the deck" and the execution probability is "70%"; the execution information of the newly added task b is 'cleaning and cleaning the deck', and the execution probability is '30%'.

In some embodiments, the determining module 230 may also determine the execution information for executing the new task by a professional (e.g., the navigation experience exceeds 3 years). For example, the determining module 230 may send the ship status information to a professional, the professional determines the currently obtained ship status information, determines the execution information of the newly added task, and feeds back the determined execution information (such as the execution content and the execution location) of the newly added task to the task management system through the user terminal.

In some embodiments, the determination module 230 may process the execution information 442 and the priority information 443 of the tasks in the task list 440 and the execution information 422 of the newly added task based on the priority assignment model 430 to determine the priority information 423 of the newly added task.

The priority assignment model 430 may be a model for determining priority information of the newly added task. In some embodiments, the types of priority assignment models 430 may include deep learning models, e.g., DNN, CNN, RNN, etc. The choice of model type may be case specific.

In some embodiments, the inputs of the priority assignment model 430 may include the execution information 442, the priority information 443, the execution information 422 of the newly added task, and the like in the task list 440, and the output of the priority assignment model is the priority information 423 of the newly added task.

The parameters of the priority assignment model 430 may be obtained through training. In some embodiments, the priority assignment model 430 may be trained based on a plurality of second training samples and second labels. For example, a second training sample with a second label is input into the initial priority assignment model, a loss function is constructed through the label and the prediction result of the initial priority assignment model, and the parameters of the model are updated iteratively based on the loss function. And when the trained model meets the preset condition, finishing the training. The preset conditions include loss function convergence, threshold reaching of iteration times and the like.

In some embodiments, the second training sample includes sample execution information for the sample task, sample priority information, and sample execution information for the sample addition task. And the second label is sample priority information of the sample adding task. Similar to the obtaining manner of the first training sample, the second training sample may be obtained based on historical data, and the second label of the second training sample may be determined by a manual labeling manner or an automatic labeling manner. For example, the sample execution information of the sample task, the sample priority information, and the priority information of the new task corresponding to the sample execution information of the sample new task are labeled as the second label of the second training sample.

In some embodiments, the priority information of the newly added task may also be determined manually. For example, the relevant personnel (e.g., captain) may determine priority information for different newly added tasks based on the navigation experience. Illustratively, the execution information of the newly added task a is "auxiliary power unit troubleshooting"; the execution information of the newly added task B is 'timing cleaning of the deck'; and executing the new task C as 'refueling the fuel tank'. The related personnel can determine that the priority information of the newly added tasks A and C is the first priority; and the priority information of the newly added task B is the third priority, and the determined priority information of the newly added task is input into the task management system.

In some embodiments of the present description, the execution information of the newly added task may be determined by processing the ship state vector through the execution information determination model; the priority information of the newly added task is determined through the priority distribution model, and the priority information of the newly added task can be determined. According to the execution information and the priority information of the newly added tasks, the specific content of the tasks needing to be executed can be determined, and the priority conditions of the tasks are determined, so that the scheduling of the ship tasks can be more reasonable, the management structure is optimized, and the production efficiency is improved.

In some embodiments, the update module 220 may add the newly added task and its corresponding task information to the task list to update the task list in at least one task management system.

In some embodiments, the update module 220 may add the new task 420 and the corresponding task information to the task list 440, for example, add the task number of the new task 420, the execution information 422 of the new task, the priority information 423 of the new task, the status information 421 of the new task, and the like to the task list 440, and then update the task list 440 in the task management system.

In some embodiments, the update module 220 may also update the task list based on the execution progress of the targeted executive. For example, task 1 in the task list, the execution progress of the target human performer is "execution failed", and the update module 220 may update the task information of task 1 in the task list (e.g., the staff scheduling information may be updated to "replace the target human performer by XX", etc.).

In some embodiments of the present description, the task list is updated based on the execution progress of the target executor, so that the execution condition of the task can be determined in time, and corresponding adjustment is made, thereby optimizing the management structure and improving the production management efficiency.

In some embodiments of the present description, a newly added task and corresponding task information are determined based on ship state information, the newly added task and the corresponding task information are added to a task list, the task list is updated, whether the ship has the newly added task can be monitored, and the task list is adjusted in time according to the newly added task, so that a management structure can be optimized, and production efficiency can be improved.

FIG. 5 is an exemplary flow diagram illustrating the generation of a first instruction according to some embodiments of the present description. In some embodiments, flow 500 may be performed by a server (e.g., server 110). For example, the process 500 may be stored in a storage device in the form of a program or instructions, and the process 500 may be implemented when the server or the module (e.g., the determining module 230) shown in fig. 2 executes the program or instructions. In some embodiments, flow 500 may utilize one or more additional operations not described below, and/or be accomplished without one or more of the operations discussed below. As shown in fig. 5, the process 500 includes the following steps:

at step 510, status information of at least one executive is obtained.

The status information of the executive may be information relating to the status of the executive. The status information of the executive may include location information, idle conditions, professional conditions, execution efficiency, etc. of the executive. The location information of the agent may be the location of the agent on the vessel. Such as the deck, the nacelle, etc. An idle condition may represent a current task performance condition of the human executive, e.g., an idle condition may include a task being performed, idle, etc. The professional situation may represent a skilled area of the performing personnel, for example, the professional situation may include skilled mechanical maintenance, skilled sea state exploration, and the like. The execution efficiency may reflect the work capacity and/or work attitude of the human executive.

In some embodiments, the obtaining module 210 may obtain location information of the executive from a GPS device in a user terminal (e.g., user terminal 140) based on a network (e.g., network 120). In some embodiments, the obtaining module 210 may obtain status information of the performing person from a task list, for example, the obtaining module 210 may obtain an idle status of the performing person (e.g., whether or not it is in task execution) from the task list. In some embodiments, the obtaining module 210 may obtain the status information of the professional condition, the execution efficiency, and the like of the executive from the executive information table. The executive information table includes information related to the executive. For example, the executive information table includes information such as identity information, professional status, and execution efficiency of the executive. In some embodiments, the obtaining module 210 may obtain the executive information table from a storage device (e.g., storage device 130) based on a network (e.g., network 120). In some embodiments, the executive-related information may be pre-entered into the task management system by a person and stored in a storage device.

And step 520, determining a target executive executing person for executing the first task based on the first task and the state information of the at least one executive.

In some embodiments, the determination module 230 may determine the target executive for the first task based on the task information of the first task and the status information of the at least one executive, for example, if the first task requires an executive with a mechanical professional background and high performance efficiency to complete, the executive meeting the above conditions may be determined as the target executive. For another example, an executive whose current position is closest to the task execution site may be selected as the target executive.

In some embodiments, the determination module 230 may determine the target human actor using an actor determination model. The executive determination model may be a deep learning model, e.g., DNN, CNN, RNN, etc.

In some embodiments, the input to the executive determination model may include the execution content of the first task, the execution location, and the like, as well as status information of the at least one executive. The output of the executive determination model is the target executive. In some embodiments, the target executive of the model output may include one or more.

The parameters of the executive determination model may be obtained by training. In some embodiments, the executive determination model may be trained based on a plurality of third training samples and third labels. For example, a third training sample with a third label is input into the initial executive personnel determination model, a loss function is constructed according to the third label and the prediction result of the initial executive plan determination model, and the parameters of the model are updated iteratively based on the loss function. And when the trained model meets the preset condition, finishing the training. The preset conditions include loss function convergence, threshold reaching of iteration times and the like.

In some embodiments, the third training sample may include sample performance content for the sample first task, sample performance location, and sample status information for the sample performance personnel. The third label may be a sample target executive corresponding to the sample first task.

In some embodiments, the third training sample may be based on historical data, for example, if the historical data is "task a is assigned to crew B to execute, crew B executes for 10 minutes over the scheduled execution time, and execution efficiency is 70%", then an exemplary one of the third training samples may be "the execution content and execution location of task a and the status information of crew a and crew B", and the corresponding third label may be "crew B". In some embodiments, the third label may be determined by way of manual labeling or automatic labeling. For example, the target executive corresponding to the first task of the sample is labeled as the third label.

In some embodiments, the output of the executive determination model may be the human compliance of the one or more target executives and the one or more target executives, the human compliance describing the degree of matching of the target executives to the first task. For example, a lower degree of human engagement indicates a lower degree of matching of the target executive with the first task.

In some embodiments, the determination module 230 may determine an evaluation value according to the execution probability of the execution information and the human compliance of the target executive, where the evaluation value is used to determine whether to perform a manual review on the target executive.

In some embodiments, the evaluation value is determined in a variety of ways based on the execution probability and the person engagement. For example, equation (1) for determining the evaluation value is as follows:

（1）

where W represents the evaluation value, B represents the person engagement, and G represents the execution probability.

When the evaluation value is smaller, the execution probability representing the execution information is larger, and the person conformity is smaller. For this case, manual review is required. In some embodiments, when the evaluation value is less than the first threshold, the evaluation value may be manually reviewed and the corresponding target human actor may be excluded; when the evaluation value is smaller than the second threshold value, the target human performer may be re-determined using manual assignment, and for example, a task assigner (e.g., captain, etc.) may determine the target human performer according to difficulty of tasks, professional conditions of the human performer, performance efficiency, etc. The first threshold and the second threshold may be preset threshold sizes, wherein the first threshold is larger than the second threshold, for example, the first threshold may be 0.2, and the second threshold may be 0.1. See fig. 4 and its associated description for more on the execution probability of the execution information.

And determining the executive personnel by using the executive personnel determination model, wherein in the case that the data volume is large enough, the trained executive personnel determination model can predict the execution efficiency of a plurality of executive personnel for different tasks, so as to select the executive personnel with the highest execution efficiency as the target executive personnel of the first task. Meanwhile, the target executive personnel are determined in a manual distribution mode, the executive personnel can be distributed according to the experience of the task distributor, and the situation that the task completion degree is influenced by the fact that the executive personnel have no experience is avoided as much as possible.

At step 530, instruction parameters are determined based on the first task and the target executive, and a first instruction is generated based on the instruction parameters.

The instruction parameter may be a parameter content for determining the instruction. For example, the instruction parameters may include specific content for a task designation, a task type, a plan start time, a plan end time, a target human executive, a task location, task content, and so forth. In some embodiments, the instruction parameters may be obtained empirically or after processing the first task and the target person through a machine learning model.

In some embodiments, the determination module 230 generates the first instruction based on the instruction parameter supplementing the corresponding instruction template. An instruction template may refer to a template that includes parameter items and their corresponding content items. Similarly, the parameter items of the instruction template may include a task designation, a task type, a plan start time, a plan end time, a target human executive, a task location, task content, and the like. The content item corresponding to the parameter item in the instruction template may be blank or preset (for example, the content item corresponding to the parameter item "scheduled start time" may be preset to "start immediately"). In some embodiments, the determination module 230 may supplement the content item first task in the instructional template according to the instructional parameters. The instruction parameters and corresponding parameter contents of different first instructions may be the same or different, for example, the parameter content corresponding to the "task site" in the instruction parameters of the first instruction a may be "deck a area", and the parameter content corresponding to the "target executor" may be "zhang san"; the parameter content corresponding to the "task site" in the instruction parameters of the first instruction B may be "deck B area", and the parameter content corresponding to the "target executive" may be "lee four". The determination module 230 may supplement the parameter content corresponding to different instruction parameters in the instruction template based on the different parameter content corresponding to the instruction parameters. In some embodiments, the determining module 230 may complete the supplement of the parameter content corresponding to the instruction parameter according to the task information of the first task, and supplement the determined information of the target executive to the corresponding parameter content to generate the first instruction.

The first instruction is generated through the instruction template, so that the execution rate of the task is highest, and the management is perfect. On one hand, the target executive personnel is determined based on the status information of the executive personnel, the personnel in the task execution process can be eliminated, or the executive personnel with low execution efficiency can be eliminated, and the target executive personnel suitable for executing the newly added task can be found as soon as possible. On the other hand, the first instruction is generated based on the instruction parameter, the information of the executed task, the information of the executive personnel and the like can be uniformly displayed, the executive personnel can quickly know the information of the executed content, the location, the time and the like of the task, and the task can be quickly responded and executed.

Some embodiments of the present description also provide an apparatus for vessel mission management, comprising at least one processor and at least one memory, the at least one memory storing computer instructions, the at least one processor being configured to perform a method for vessel mission management.

Some embodiments of the present description also provide a computer-readable storage medium storing computer instructions, wherein when the computer instructions in the storage medium are read by a computer, the computer performs a method for managing ship tasks.

It should be noted that the above description related to the flow 500 is only for illustration and description, and does not limit the applicable scope of the present specification. Various modifications and changes to flow 500 may occur to those skilled in the art, given the benefit of this description. However, such modifications and variations are intended to be within the scope of the present description.

Having thus described the basic concept, it will be apparent to those skilled in the art that the foregoing detailed disclosure is to be regarded as illustrative only and not as limiting the present specification. Various modifications, improvements and adaptations to the present description may occur to those skilled in the art, although not explicitly described herein. Such modifications, improvements and adaptations are proposed in the present specification and thus fall within the spirit and scope of the exemplary embodiments of the present specification.

Also, the description uses specific words to describe embodiments of the description. Reference throughout this specification to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the specification is included. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, some features, structures, or characteristics of one or more embodiments of the specification may be combined as appropriate.

Additionally, the order in which the elements and sequences of the process are recited in the specification, the use of alphanumeric characters, or other designations, is not intended to limit the order in which the processes and methods of the specification occur, unless otherwise specified in the claims. While various presently contemplated embodiments of the invention have been discussed in the foregoing disclosure by way of example, it is to be understood that such detail is solely for that purpose and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements that are within the spirit and scope of the embodiments herein. For example, although the system components described above may be implemented by hardware devices, they may also be implemented by software-only solutions, such as installing the described system on an existing server or mobile device.

Similarly, it should be noted that in the preceding description of embodiments of the present specification, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure aiding in the understanding of one or more of the embodiments. This method of disclosure, however, is not intended to imply that more features than are expressly recited in a claim. Indeed, the embodiments may be characterized as having less than all of the features of a single embodiment disclosed above.

Numerals describing the number of components, attributes, etc. are used in some embodiments, it being understood that such numerals used in the description of the embodiments are modified in some instances by the use of the modifier "about", "approximately" or "substantially". Unless otherwise indicated, "about", "approximately" or "substantially" indicates that the number allows a variation of ± 20%. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximations that may vary depending upon the desired properties of the individual embodiments. In some embodiments, the numerical parameter should take into account the specified significant digits and employ a general digit preserving approach. Notwithstanding that the numerical ranges and parameters setting forth the broad scope of the range are approximations, in the specific examples, such numerical values are set forth as precisely as possible within the scope of the application.

For each patent, patent application publication, and other material, such as articles, books, specifications, publications, documents, etc., cited in this specification, the entire contents of each are hereby incorporated by reference into this specification. Except where the application history document does not conform to or conflict with the contents of the present specification, it is to be understood that the application history document, as used herein in the present specification or appended claims, is intended to define the broadest scope of the present specification (whether presently or later in the specification) rather than the broadest scope of the present specification. It is to be understood that the descriptions, definitions and/or uses of terms in the accompanying materials of this specification shall control if they are inconsistent or contrary to the descriptions and/or uses of terms in this specification.

Finally, it should be understood that the embodiments described herein are merely illustrative of the principles of the embodiments of the present disclosure. Other variations are also possible within the scope of the present description. Thus, by way of example, and not limitation, alternative configurations of the embodiments of the specification can be considered consistent with the teachings of the specification. Accordingly, the embodiments of the present description are not limited to only those embodiments explicitly described and depicted herein.

Claims

1. A method of ship mission management, comprising:

acquiring ship state information;

updating a task list in at least one task management system based on the ship state information, wherein the task list comprises at least one task and corresponding task information;

determining a first task based on the updated task list, and generating a first instruction based on the first task, wherein the first instruction comprises relevant information of a target executive who executes the first instruction;

and sending the first instruction to the target executive personnel based on the position of the target executive personnel.

2. The method of claim 1, wherein the updating the task list in at least one task management system based on the ship state information comprises:

determining a newly added task and corresponding task information thereof based on the ship state information;

and adding the newly added task and the task information corresponding to the newly added task into the task list so as to update the task list in the at least one task management system.

3. The method of claim 2, wherein the task information at least includes execution information, status information or priority information, and the determining the new tasks and the corresponding task information based on the ship status information includes:

processing a ship state vector based on an execution information determination model, and determining the execution information of the newly added task, wherein the ship state vector is determined based on the ship state information;

and processing the execution information and the priority information of the tasks in the task list and the execution information of the newly added tasks based on a priority distribution model, and determining the priority information of the newly added tasks.

4. The method of claim 1, wherein generating the first instruction based on the first task comprises:

acquiring state information of at least one executive worker;

determining a target executive performing the first task based on the first task and the status information of the at least one executive;

determining instruction parameters based on the first task and the target executive, and generating the first instruction based on the instruction parameters.

5. A system for mission management of a vessel, the system comprising:

the acquisition module is used for acquiring ship state information;

the updating module is used for updating a task list in at least one task management system based on the ship state information, wherein the task list comprises at least one task and corresponding task information;

the determining module is used for determining a first task based on the updated task list and generating a first instruction based on the first task, wherein the first instruction comprises relevant information of a target executive who executes the first instruction;

and the sending module is used for sending the first instruction to the target executive personnel based on the position of the target executive personnel.

6. The system for ship mission management according to claim 5, wherein the update module is further configured to:

7. The system of claim 6, wherein the task information comprises at least execution information, status information or priority information, and the update module is further configured to:

8. The system for ship mission management according to claim 5, wherein the determining module is further configured to:

acquiring state information of at least one executive worker;

9. An arrangement for mission management of a marine vessel, said arrangement comprising at least one processor and at least one memory;

the at least one memory is for storing computer instructions;

the at least one processor is configured to execute at least some of the computer instructions to implement the method of any of claims 1 to 4.

10. A computer-readable storage medium of ship mission management, characterized in that the storage medium stores computer instructions which, when executed by a processor, implement the method according to any one of claims 1 to 4.