KR102020745B1 - Method and device of providing construction schedule of ocean construction - Google Patents

Abstract

Disclosed is a method of providing a construction schedule of offshore construction. According to the present invention, the method of providing a construction schedule of offshore construction comprises the steps of: identifying at least one offshore construction; identifying at least one operation included in the identified offshore construction; obtaining operation information for the at least one identified operation; obtaining offshore condition information within a predetermined period of time for the at least one identified operation; and determining a construction schedule of the offshore construction by using the operation information and the offshore condition information.

Description

METHOD AND DEVICE OF PROVIDING CONSTRUCTION SCHEDULE OF OCEAN CONSTRUCTION}

The present disclosure relates to a method and apparatus for providing a construction schedule of an offshore construction, and more particularly, to an optimal construction schedule for construction safety and efficiency of construction cost based on the work contents of the offshore construction and weather conditions. It relates to a method and apparatus for derivation. In addition, the present invention provides a method and apparatus for providing a construction schedule for offshore construction using artificial intelligence (AI) that simulates functions such as recognition and judgment of the human brain by using a machine learning algorithm such as deep learning.

In general, construction is a comprehensive and complex process that consists of various tasks, which may require a variety of equipment and personnel. Above all, offshore or offshore construction works are expensive and expensive to rent equipment and can take a long time to transport. In addition, when performing work using the equipment can be greatly affected by marine conditions such as storm, it is difficult to determine the efficient construction schedule. For example, if expensive equipment is rented but the sea conditions are not followed, the construction may not be carried out, which may cause great damage.

Therefore, there is a need for a method for determining an optimal construction schedule for offshore construction in consideration of the work contents and marine conditions of offshore construction and an algorithm for implementing the construction.

Artificial Intelligence (AI) is a computer system that implements human-level intelligence, and unlike conventional rule-based smart systems, the machine learns and judges itself and improves intelligence according to learning. As the artificial intelligence is used, the recognition rate is improved and the user's taste can be more clearly understood, and the existing rule-based smart system is gradually replaced by the deep learning-based artificial intelligence system.

Artificial intelligence technology consists of elementary technologies that utilize machine learning (deep learning) and machine learning. Machine learning is an algorithm technology that classifies / learns characteristics of input data by itself, and element technology is a technology that simulates the functions of human brain cognition and judgment by using machine learning algorithms such as deep learning. It may consist of technical fields such as understanding, reasoning / prediction, knowledge representation, motion control, and the like.

The present disclosure intends to provide a method and apparatus for deriving an optimal construction schedule for offshore construction for construction safety and cost reduction.

Problems to be solved by the present disclosure are not limited to the above-mentioned problems, and other problems not mentioned will be clearly understood by those skilled in the art from the following description.

According to an embodiment, a method of providing a construction schedule of an offshore construction includes: identifying at least one offshore construction; Identifying at least one task included in the identified offshore work; Obtaining task information for the identified at least one task; Obtaining marine condition information within a predetermined period of time for the at least one identified work; And determining a construction schedule of the marine construction by using the operation information and the marine condition information.

According to an embodiment, the task information may include at least one of relationship information between tasks, equipment information used for the task, manpower information used for the task, and period information of the task.

According to an embodiment, the marine condition information may include wave information, seawater flow information, and wind information about a site on which the at least one operation is performed.

According to an embodiment, the determining of the construction schedule of the offshore construction may include at least one of a work period, a work date, and a work cost for at least one work included in the offshore construction based on a construction target date and a construction budget. Determining one.

According to an embodiment, the determining of the construction schedule of the offshore construction may be performed by an artificial intelligence model learned based on the construction schedule of the offshore construction.

According to an embodiment, the method may further include generating a request for at least one of equipment and manpower used in the at least one task based on the determined construction schedule.

According to an embodiment, the method may include obtaining feedback information on the determined construction schedule; And changing the determined construction schedule by using the feedback information, wherein the feedback information may include at least one of supply and demand information of equipment and supply and demand information of personnel for the at least one job. .

According to an embodiment, the acquiring of the marine condition information may include obtaining terrain information of a site where the at least one operation is performed; Obtaining weather prediction information of the site from a plurality of organizations providing weather information; Generating marine condition information of the site based on the terrain information and weather prediction information from a first of the plurality of engines; And correcting the generated marine condition information based on weather prediction information from a second engine of the plurality of engines.

According to an embodiment, the acquiring of the marine condition information may be performed by an artificial intelligence model learned based on past weather information of a site where the at least one task is performed.

According to an embodiment, an apparatus for providing a construction schedule of an offshore construction includes: a memory configured to store work information on at least one task included in offshore construction; A communication interface for acquiring marine condition information within a predetermined time period for the at least one job; And a processor configured to determine a construction schedule of the marine construction by using the work information and the marine condition information.

1 is a view for explaining a method of providing a construction schedule of offshore construction according to an embodiment.
2 is a diagram for describing an apparatus for providing a construction schedule of an offshore construction, according to an exemplary embodiment.
3 is a flowchart of a method of providing a construction schedule of an offshore construction according to an embodiment.
4 illustrates a configuration of an apparatus for providing a construction schedule of an offshore construction according to an embodiment.
5 is a diagram for describing an operation of generating an artificial intelligence model for providing a construction schedule through deep learning, according to an exemplary embodiment.
6 is a flowchart of a method of acquiring marine condition information for marine construction according to an embodiment.
FIG. 7 is a diagram for describing an operation of generating an artificial intelligence model for providing marine condition information according to an embodiment.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. Advantages and features of the present invention and methods for achieving them will be apparent with reference to the embodiments described below in detail with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various forms, and only the embodiments are intended to complete the disclosure of the present invention, and the general knowledge in the art to which the present invention pertains. It is provided to fully inform the person having the scope of the invention, which is defined only by the scope of the claims. Like reference numerals refer to like elements throughout.

Unless otherwise defined, all terms (including technical and scientific terms) used in the present specification may be used in a sense that can be commonly understood by those skilled in the art. In addition, the terms defined in the commonly used dictionaries are not ideally or excessively interpreted unless they are specifically defined clearly.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. In this specification, the singular also includes the plural unless specifically stated otherwise in the phrase. As used herein, "comprises" and / or "comprising" does not exclude the presence or addition of one or more other components in addition to the mentioned components.

In the present specification, the computer refers to any kind of hardware device including at least one processor, and according to an embodiment, it may be understood as a meaning encompassing a software configuration that operates on the hardware device. For example, a computer may be understood as including, but not limited to, a smartphone, a tablet PC, a desktop, a notebook, and a user client and an application running on each device.

1 is a view for explaining a method of providing a construction schedule of offshore construction according to an embodiment.

The method of providing a construction schedule of an offshore construction according to an embodiment may provide an efficient construction schedule for each offshore construction having a predetermined target period within a predetermined area located at sea or undersea. Marine work according to an embodiment may be to include at least one operation. For example, at least one of the operations included in offshore construction includes transportation work, excavation work, loading work, flattening work, landfill work, welding work, cutting work, lifting work, photographing work, and the like, and the detailed work on which they are based. And various operations in combination thereof.

Referring to FIG. 1, a first construction according to an embodiment may include a first construction, a second construction, a third construction, and a fourth construction as a marine construction performed in a predetermined region on the east coast of Korea. have. For the first construction according to an embodiment, at least one of a work duration, a work date, and a work cost for each work using the work information on the work included in the first work and the marine condition information on the work. By determining a construction schedule that includes, the optimal construction schedule for the first construction can be determined.

Specifically, the job information according to the embodiment relates to the elements necessary for the performance of the job, the relationship information between the jobs, the equipment information used for the job, manpower information used for the job, period information of the job and the job site May include location information.

The relationship information between tasks according to an exemplary embodiment may be indicative of a prognostic relationship or importance of tasks between tasks to be applied to the performance of the tasks. For example, if a marine project includes a plurality of tasks, some tasks may be closely related to each other to influence the order of the tasks, and some tasks may be independently performed without affecting each other. have.

Referring to FIG. 1, according to the relationship information between tasks, the second task may be to be performed after the first task is completed, and the third task may be performed before the first task regardless of the first task. It may be one that can be performed after the first task or in parallel with the first task. Also, depending on the relationship information between the tasks, the first task may be the highest priority task that must be performed within a predetermined period of time.

The equipment information used for the task according to an embodiment may include identification information of the equipment used in the task, quantity information of the equipment, performance information of the equipment, cost information of the equipment, and the like. In addition, the equipment information used for the work according to an embodiment may further include information indicating the supply and demand location of the equipment, operating limited maritime conditions, operating speed, construction conditions, mooring conditions, equipment available time.

Referring to FIG. 1, when the device D is commonly used in the second work and the fourth work included in the first construction according to the equipment information of the work, in order to minimize the transport time and the rental period of the equipment D, The construction schedule can be determined so that the second work and the fourth work can be performed simultaneously or in succession. In other words, the equipment used for offshore construction is often required to be transported by sea, so it takes a lot of time to transport and can be affected by marine conditions, and the rental fee is often expensive. By minimizing the transportation time and the rental period of the equipment can be used to increase the efficiency of the construction schedule in terms of cost and time.

The manpower information used for the work according to an embodiment may include size information of the workforce used in the work, technology information of the workforce, cost information of the workforce, and the like.

Duration information of a job according to an embodiment may include at least one of a minimum period, a maximum period, and an appropriate period generally required to perform the job.

Location information of the work site according to an embodiment may be information indicating a specific location where the work is performed among the construction site.

The marine condition information according to an embodiment may be information indicating the environment of the sea and the seabed on the site where the work is performed, and may be prediction information of the marine environment for the construction period in which the work is to be performed.

Specifically, unlike the general weather forecast for a large area, the marine condition information according to an embodiment may be specific prediction information about the corresponding work site. Marine conditions information according to an embodiment, the wave information, tidal current, tide level, tidal velocity, including wave height, wave period, wave direction, etc. for the job site , Seawater flow information including current velocity, and the like, and wind information including wind direction, wind speed, air pressure, and the like. In addition, the marine condition information according to an embodiment may further include general weather information such as temperature, water temperature, geothermal temperature, precipitation, humidity, tsunami, and typhoon.

Referring to FIG. 1, with reference to equipment information of a work for a job included in a first work, period information of a work, and marine condition information of a work, a quietness with a small crest in a third work included in the first work If equipment E, which requires an environment, is used, the third operation may be arranged in a specific, continuous period of time in which the crest is expected to meet small ocean conditions to minimize the travel time and rental period of equipment E. We can decide construction schedule of construction efficiently. In this case, the specific period may be determined by referring to the period information on the third job.

In the method of providing a construction schedule of an offshore construction according to an embodiment, the construction schedule may include at least one of a work period, a work date, and a work cost for at least one work included in the offshore construction. For example, when determining the construction schedule for an offshore project, the expected duration of work (start and finish dates) for each work, the specific dates during which the work is actually performed, and the estimated cost to be consumed if the work is performed according to the plan. The cost can be determined. Depending on the determination of the duration, date and cost for each work, the overall work schedule for the work comprising at least one work may be determined.

The method of providing a construction schedule of an offshore construction according to an embodiment may allow an optimal construction schedule to be determined based on a construction target date and a construction budget. For example, in the first construction of FIG. 1, a construction target date is set as June 1, 2019, and at least one of a minimum construction cost, an appropriate construction cost, and a maximum construction cost may be set as a construction budget.

According to the method of providing a construction schedule according to an embodiment, the construction schedule may be determined in a direction in which the set construction target date and the construction budget are observed and a maximum efficiency thereof is derived. For example, among a plurality of construction schedules that can be performed within a set construction target date and a maximum construction cost limit, a construction schedule in which the least cost is expected to be consumed may be selected. In addition, in consideration of the safety values calculated for the plurality of construction schedules, it is possible to allow the construction schedule is selected from the construction schedule that satisfies the predetermined safety value or more.

When the construction schedule of the offshore construction according to an embodiment is determined, the equipment and manpower for at least one operation included in the offshore construction according to the determined construction schedule obtains feedback information confirming availability of the supply, thereby obtaining the determined construction schedule. You can confirm or change it.

In addition, when the construction schedule of the offshore construction according to an embodiment is determined, it is possible to generate a request for equipment and manpower used for at least one operation included in the offshore construction. It may be possible to establish a fast and efficient construction schedule by requesting or arranging equipment and personnel to the rental company or service provider together with the determination of the construction schedule.

In addition, the computer may receive feedback from the rental company or service provider corresponding to the requested information. For example, the equipment you want to use may already be reserved or arranged for use at another construction site, or it may be difficult to supply the equipment you want to use on streets and routes. In this case, the computer may obtain information on a date when each equipment is available, and determine the construction schedule as a schedule in which the date information and weather information for continuously using the equipment overlap.

In addition, when the construction schedule of the offshore construction according to an embodiment is determined, the movement path of the equipment used for at least one operation included in the offshore construction can be determined. For example, referring to FIG. 1, some of the equipment used in the first to fourth tasks may be moved to sea, and some equipment may be moved to land. According to an embodiment, the movement route may be determined based on marine condition information, and in addition, navigation information about the movement route may be determined.

Hereinafter, referring to FIG. 2, a detailed process performed by the apparatus 100 for determining a construction schedule of an offshore construction described in FIG. 1 will be described in detail.

2 is a diagram for describing an apparatus 100 for providing a construction schedule of an offshore construction, according to an exemplary embodiment.

2, in a method of providing a construction schedule of an offshore construction according to an embodiment, an apparatus 100 for providing a construction schedule and a user terminal 400 provided with a construction schedule from the apparatus 100 may be used. Can be.

The apparatus 100 for providing a construction schedule of an offshore construction according to an embodiment may be configured as a server including a processor capable of performing various functions of storing, obtaining, and processing necessary information provided in the construction schedule. In addition, the apparatus 100 according to an embodiment may be configured with a plurality of servers, but is not limited thereto. The apparatus 100 may further include additional components required for providing a construction schedule. For example, the apparatus 100 for providing a construction schedule of an offshore construction according to an embodiment may be a user device such as a personal computer (PC), a tablet PC, a laptop computer, a smartphone, or the like.

In addition, the user terminal 400 may be a user device that may receive a construction schedule of an offshore construction from the apparatus 100 and perform a function for displaying to a user. For example, it may be a PC, a tablet PC, a laptop computer, a smartphone, or the like used by a manager for managing a construction schedule of an offshore construction project.

Referring to FIG. 2, the apparatus 100 according to an exemplary embodiment may include job information 210 for at least one job included in offshore construction and marine condition information 220 within a predetermined period of at least one job. Can be acquired and used.

Work information 210 according to an embodiment relates to the elements necessary for the performance of the work, the relationship information between the work, equipment information used for the work, manpower information used for the work, period information of the work and the work site May include location information.

Ocean condition information 220 according to an embodiment is the wave information, including tidal wave, wave period, wave direction, tidal flow, tidal flow, tidal current, current flow, etc. for the relevant work site, wind direction, It may include wind information including wind speed, air pressure, and the like. In addition, the marine condition information 220 according to an embodiment may further include general weather information such as temperature, water temperature, geothermal temperature, precipitation, humidity, tsunami, and typhoon.

In detail, the apparatus 100 according to an exemplary embodiment may identify at least one offshore construction requiring management of a construction schedule, identify at least one task included in the identified offshore construction, and provide job information on each task. 210 and the marine condition information 220 may be obtained. The apparatus 100 according to an embodiment may identify one offshore construction to determine a construction schedule for the offshore construction, but may also identify a plurality of offshore constructions on which the construction may proceed.

The apparatus 100 according to an embodiment may obtain the task information 210 from an external server that holds a database of offshore tasks. In addition, the apparatus 100 according to an embodiment may store a database of marine operations in an internal memory.

The apparatus 100 according to an exemplary embodiment may obtain the marine condition information 220 from an external server that provides weather prediction information. In addition, the apparatus 100 according to an embodiment may generate the marine condition information 220 based on information collected from an external server.

Specifically, the apparatus 100 according to an embodiment is based on the topographic information of the site on which at least one operation included in the marine operation is performed and the weather forecast information of the site obtained from a plurality of institutions, marine condition information 220 ) Can be created. Organizations that provide weather forecast information include, for example, weather operations such as the National Oceanic and Atmospheric Administration (NOAA) in the United States, the Port and Airport Research Institute (PARI) in Japan, and the Commonwealth Scientific and Industrial Research Organization (CSIRO) in Australia. It may be an organization that operates a pipe prediction system. In addition, the organization that provides weather forecast information may be a national meteorological office and the National Maritime Survey.

The terrain information of the site according to an embodiment is information including depth, seabed terrain, marine physics, etc. according to the location of the site, and the apparatus 100 according to an embodiment obtains the terrain information of the site from an external server. It may be stored in the internal memory of the device 100.

The apparatus 100 according to an exemplary embodiment may generate the marine condition information of the work site based on the terrain information of the work site and the weather prediction information from the first engine among the plurality of engines. In addition, the apparatus 100 according to an embodiment may correct the generated marine condition information based on weather prediction information from a second engine among a plurality of engines.

Algorithms for generating and / or correcting such marine conditions on the job site may be prepared in advance and used in the apparatus 100 according to an embodiment. In addition, the apparatus 100 may determine a construction schedule by using an artificial intelligence model that is learned based on past weather information of a site where at least one task is performed. More details on this will be described later with reference to FIG. 7.

The apparatus 100 according to an embodiment may determine a construction schedule of the identified offshore construction by using the acquired work information 210 and the marine condition information 220. The apparatus 100 according to an embodiment determines a work period, a work date, and a work cost for at least one work included in the offshore work based on the work target date and the work budget, thereby establishing a work schedule for the offshore work. You can decide. For example, the apparatus 100 according to an exemplary embodiment may select a construction schedule in which the least cost is expected to be consumed among a plurality of construction schedules that can be performed within a set construction target date and a maximum construction cost limit. In addition, the construction schedule may be determined and adjusted based on the availability of each construction equipment and the transportation cost based on the traffic information.

The method described below may be used for the calculation and adjustment of the transportation cost, for example, in consideration of risks such as the cost of flight and the delay time that may occur even if the same equipment is transported at the same location. The shipping cost may be set differently. In calculating the construction schedule, the computer can adjust the construction schedule based on transportation costs that reflect these risks.

An algorithm for selecting a construction schedule having such maximum efficiency may be prepared in advance and used in the apparatus 100 according to an embodiment. In addition, the apparatus 100 according to an embodiment may determine the construction schedule using the learned artificial intelligence model based on the construction schedule of the offshore construction. More details on this will be described later with reference to FIG. 5.

According to an embodiment, the apparatus 100 may generate a request for equipment and manpower used for at least one work included in the offshore construction according to the determined construction schedule. For example, the equipment and manpower can be quickly arranged by passing a request for equipment and manpower required by the determined construction schedule to the rental or service company. In addition, when the request for equipment and manpower is rejected in whole or in part, the apparatus 100 according to an embodiment may obtain this as feedback information and change the determined construction schedule.

The apparatus 100 according to an exemplary embodiment may determine a moving path of equipment used for at least one work included in the offshore construction based on the determined construction schedule. In detail, when the rental company of the equipment to be used for the work is determined, the apparatus 100 according to an embodiment may identify a starting point and a destination of the corresponding equipment and determine a moving path accordingly. For example, the starting point of the equipment may be determined according to the rental schedule of the equipment that can be obtained from the rental company as the current position of the equipment on the scheduled departure date of the equipment. The origin of the equipment may be the location of the rental company or the previous use of the equipment. In addition, the destination of the equipment may be a work site.

According to an embodiment, the movement path may include at least one of sea lane and land route. According to an embodiment, the apparatus 100 may determine one moving path among a plurality of possible moving paths in consideration of a cost and a moving time for the moving path. In addition, the apparatus 100 according to an embodiment may determine the movement route in consideration of the safety value for the movement route. The apparatus 100 according to an exemplary embodiment may change the movement route determined by using marine condition information and terrain information on the movement route. For example, the marine condition information on the movement route may include weather information according to the movement route, and the terrain information on the movement route may include depth, seabed terrain, and the like.

The apparatus 100 according to an exemplary embodiment may obtain neighboring port information on a moving route and provide navigation information on the moving route.

In one embodiment, the computer may obtain in advance information about one or more destinations that can be selected on the travel path. The information on the port of destination may include information on the location of the port of destination, distance to the line, length of berth, berthing cost, difficulty of entry, distribution line where goods can be supplied during berth, and amenities available to the crew. have.

In an embodiment, the computer may acquire information about the port of destination located within a predetermined distance from each point and another construction site. For example, if there is an offshore construction site near the port of port, the computer can determine or query whether the offshore construction site requires construction equipment in transit. According to an embodiment, if there is a demand for construction equipment in transit at the offshore construction site, the computer may attempt to negotiate the lease or evacuation of construction equipment in transit to the offshore construction site.

In an embodiment, negotiation may be automatically performed based on a preset rule, or a request, negotiation, and acceptance may be performed through communication between managers of both terminals.

As a result, when the evacuation or rental at the construction site is decided, the evacuation cost and the rental cost may be determined according to the negotiation contents.

In addition, if the same company is carrying out maritime construction at multiple points, if a port situation occurs during the movement, the computer searches for other offshore construction points of the same company, By aligning, the cost loss caused by the port can be minimized.

According to an embodiment, the computer may calculate a probability of occurrence of an emergency situation at each location on the copper wire based on the moving copper wire of the equipment and a schedule corresponding to the copper wire.

For example, it is possible to obtain information on the weather situation at the expected time of movement of each location, and calculate the probability of occurrence of the situation at each point on the moving line based on this.

In addition, the computer can obtain information on the location of each addressable port and the location of the addressable port. The computer can calculate the cost incurred when navigating to each port of destination at each point on the line. If there are a plurality of addressable destinations at a specific point, the computer may select the addressed site where a higher evaluation result is calculated based on the information about the collected addressed location as described above.

The computer can calculate the expected value of the navigable costs incurred on the line based on the probability of navigating at each point on the line and the cost incurred at each point on the line. The computer may adjust the cost of each copper line based on the expected value of the navigating cost. Similarly, the computer can calculate the expected value of the time required for each copper line based on the probability of the flight at each point on the copper line and the time delay at the time of the flight at each point. The computer may adjust the time required for each copper line based on the expected value of the time spent in the port.

In one embodiment, the computer may generate one or more copper wires, calculate the time and cost of each copper wire, and adjust the time and cost based on the method described above. The computer can select the copper route based on the adjusted time and cost, and can create and adjust the construction schedule and the movement schedule of the construction equipment based on the copper schedule information reflecting the expected schedule of the port and period in the construction schedule. have.

In one embodiment, when an unexpected change in the weather occurs, the computer may adjust the schedule of the construction and the movement of the construction equipment. For example, while moving construction equipment in line with a construction schedule, it may be difficult to use construction equipment in accordance with a predetermined construction schedule due to rapid climate change at the construction site.

In this case, the computer may calculate the period of use and the corresponding costs after the construction equipment arrives at the construction site, and calculate the cost incurred when the construction equipment is returned based on the location information of the construction equipment. In this case, if it is determined that the cost of canceling and returning the rental of the construction equipment is less, the construction equipment can be returned and the construction schedule can be regenerated based on the changed climate information.

Hereinafter, referring to FIGS. 3 and 4, a process of providing a construction schedule by detailed configurations of the apparatus 100 for providing a construction schedule of an offshore construction according to an embodiment will be described.

3 is a flowchart of a method of providing a construction schedule of an offshore construction according to an embodiment, and FIG. 4 illustrates a configuration of an apparatus 100 for providing a construction schedule of an offshore construction according to an embodiment.

The apparatus 100 for providing a construction schedule of an offshore construction according to an embodiment may include a memory 120, a communication interface 140, and a processor 160. However, not all illustrated configurations are essential, and the apparatus 100 may be implemented by more configurations than those illustrated.

The memory 120 is a component for storing a program for processing and controlling the processor 160 and for storing input / output data. The memory 120 includes a flash memory type, a hard disk type, Multimedia card micro type, card type memory (e.g. SD or XD memory, etc.), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM) ), A storage medium of at least one type of EEPROM (Electrically Erasable Programmable Read-Only Memory), PROM (Programmable Read-Only Memory), magnetic memory, magnetic disk, or optical disk.

Programs stored in the memory 120 may be classified into a plurality of modules according to their function, for example, based on an algorithm for selecting a construction schedule having maximum efficiency or a construction schedule of an offshore construction project. It can include a trained artificial intelligence model. It may also include an artificial intelligence model trained based on past weather information and algorithms for generating and / or correcting marine conditions information on the job site. Alternatively, the plurality of modules stored in the memory 120 may generate an algorithm for generating and / or correcting wave information among marine condition information on a job site, an algorithm for generating and / or correcting seawater flow information, and wind information. And / or algorithms for correction.

The term "module" refers to a unit for processing at least one function or operation, which may be implemented in hardware or software, or a combination of hardware and software.

The communication interface 140 is configured to communicate with an external device. The short-range wireless communication unit includes a Bluetooth communication unit, a Bluetooth low energy (BLE) communication unit, and a near field communication unit (Near Field Communication unit). It may include, but not limited to, a WLAN (Wi-Fi) communication unit, a Zigbee communication unit, an infrared data association (IrDA) communication unit, a Wi-Fi Direct communication unit, an ultra wideband communication unit, an UWB communication unit, an Ant + communication unit, and the like. It doesn't happen. The mobile communication unit may transmit / receive a radio signal with at least one of a base station, an external terminal, and a server on a mobile communication network.

The processor 160 is a configuration for controlling the overall operation of the conventional device 100. For example, the processor 160 executes programs stored in the memory 120, thereby controlling the operation of the components of the device 100. Can be controlled.

According to an embodiment, the processor 160 may include an AI processor for generating a learning network model, but is not limited thereto. According to an embodiment, the AI processor may be implemented as a chip separate from the processor 160.

Referring to step 310 of FIG. 3, in the method for providing a construction schedule of an offshore construction according to an embodiment, at least one offshore construction may be identified. The processor 160 according to an embodiment may identify at least one offshore construction work. The processor 160 according to an exemplary embodiment may identify at least one offshore construction work among the offshore constructions stored in the memory 120, and may include at least one from an external device (eg, the user terminal 400 of FIG. 2). At least one offshore project may be identified by requesting a work schedule for offshore construction. A request for a construction schedule for at least one offshore construction may be received via the communication interface 140.

Referring to step 320 of FIG. 3, in the method for providing a construction schedule of an offshore construction according to an embodiment, at least one job included in the identified offshore construction may be identified. The processor 160 according to an embodiment may identify at least one task. For example, at least one of the operations included in offshore construction includes transportation work, excavation work, loading work, flattening work, landfill work, welding work, cutting work, lifting work, photographing work, and the like, and the detailed work on which they are based. And various operations in combination thereof.

Referring to step 330 of FIG. 3, in the method of providing a construction schedule of an offshore construction according to an embodiment, task information on at least one identified task may be obtained. According to an embodiment, the processor 160 may obtain job information on at least one job through the communication interface 140 from an external server having a database about offshore jobs. In addition, the processor 160 according to an embodiment may obtain task information on at least one task from the memory 120.

Referring to step 340 of FIG. 3, in a method of providing a construction schedule of an offshore construction according to an embodiment, marine condition information within a predetermined period for at least one identified operation may be obtained. According to an embodiment, the processor 160 may obtain marine condition information on at least one job from the external server providing the weather prediction information through the communication interface 140. In addition, the processor 160 according to an embodiment may generate marine condition information based on information collected through the communication interface 140 from an external server.

A more detailed process of performing step 340 in the processor 160 according to an embodiment will be described later with reference to FIG. 6.

Referring to step 350 of FIG. 3, in a method of providing a construction schedule of an offshore construction, a construction schedule of an offshore construction may be determined. The processor 160 according to an embodiment may determine the construction schedule of the identified offshore construction by using the operation information and the marine condition information obtained for each operation.

According to an embodiment, the processor 160 determines a work period, a work date, and a work cost for at least one work included in the offshore work based on the work target date and the work budget, thereby establishing a work schedule for the offshore work. You can decide. For example, the processor 160 may select a construction schedule in which the least cost is expected to be consumed among a plurality of construction schedules that can be performed within a set construction target date and a maximum construction cost limit.

The processor 160 according to an embodiment may determine a construction schedule for offshore construction using an algorithm for selecting a construction schedule having the maximum efficiency stored in the memory 120. In addition, the processor 160 according to an embodiment may determine the construction schedule for the offshore construction using the learned artificial intelligence model based on the construction schedule of the previously performed offshore construction stored in the memory 120.

When the construction schedule is determined, the processor 160 according to an embodiment may generate a request for equipment and manpower used for at least one work according to the determined construction schedule. The processor 160 according to an embodiment may transmit a request for equipment and manpower required according to the determined construction schedule to the rental company or the service company through the communication interface 140. In addition, when a request for equipment and manpower is rejected in whole or in part, the processor 160 according to an exemplary embodiment may obtain this as feedback information and change the determined construction schedule.

The processor 160 according to an embodiment may change a construction schedule for offshore construction using an algorithm stored in advance in the memory 120. The processor 160 according to an exemplary embodiment may change the construction schedule for the offshore construction using an artificial intelligence model learned based on the construction schedule of the previously performed offshore construction stored in the memory 120.

The processor 160 according to an exemplary embodiment may determine a moving path of equipment used for at least one work included in offshore construction based on the determined construction schedule. Specifically, when the processor 160 of the equipment to be used for the task is determined, the processor 160 according to an embodiment may determine the origin (eg, the current location of the equipment) and the destination (eg, the work site) of the equipment. It can identify and determine the path of movement accordingly. According to an embodiment, the movement path may include at least one of sea lane and land route. The processor 160 according to an embodiment may determine one moving path among a plurality of possible moving paths in consideration of the cost and the moving time for the moving path. In addition, the processor 160 according to an embodiment may determine the moving path in consideration of a safety value for the moving path.

The processor 160 according to an exemplary embodiment may change the movement route determined by using marine condition information and terrain information on the movement route. For example, the marine condition information on the movement route may include weather information according to the movement route, and the terrain information on the movement route may include depth, seabed terrain, and the like.

The processor 160 according to an exemplary embodiment may obtain neighboring port information on the moving route and provide the navigation information on the moving route.

The processor 160 according to an embodiment may determine the moving path and the port information using an algorithm stored in advance in the memory 120. The processor 160 according to an embodiment may determine the movement route and the port information by using the learned artificial intelligence model based on the construction schedule of the previously performed offshore construction stored in the memory 120.

The processor 160 according to an embodiment may store at least one of the determined construction schedule, the movement route, and the port information in the memory 120 or provide the same to the user. For example, the processor 160 according to an embodiment may transmit at least one of the determined construction schedule, the movement route, and the port information through the communication interface 140 (eg, the user terminal 400 of FIG. 2). Can be sent to.

5 is a diagram for describing an operation of generating an artificial intelligence model for providing a construction schedule through deep learning, according to an exemplary embodiment.

Referring to FIG. 5, an AI processor included in the apparatus 100 according to an embodiment may learn an artificial network and train the artificial intelligence model 520 based on a construction schedule of an offshore construction. Can be generated. 'Learning' an artificial neural network can mean creating a mathematical model that allows the optimal connection of neurons in the artificial neural network with optimal weighting based on the data.

According to an embodiment, the AI processor may generate an artificial intelligence model 520 by acquiring and using a construction schedule 510 of an offshore construction. According to an embodiment, the construction schedule 510 of the previously performed offshore construction acquired by the AI processor may be related to a construction schedule and / or an actual construction schedule that was designed prior to the construction of offshore construction. It may be to include information. The construction schedule 510 of the previously performed marine construction according to an embodiment may include an evaluation regarding the construction schedule of the marine construction. According to an embodiment, the construction schedule 510 of the offshore construction performed by the AI processor may include construction schedules evaluated as having high efficiency.

The artificial intelligence model 520 illustrated in FIG. 5 is provided as an example, and the type of the artificial intelligence model according to the disclosed embodiment is not limited to the artificial neural network.

The construction schedule 510 of the previously performed offshore construction according to an embodiment may include work information for each work included in the offshore construction work, and marine conditions of the work site.

The work information for each work included in the offshore work in the work schedule 510 of the previously performed offshore work according to an embodiment is related to the elements necessary for the work to be performed, and the relationship information between the work and used for the work. It may include equipment information to be used, manpower information used for work, period information of work and location information of the work site.

The relationship information between tasks according to an exemplary embodiment may be information indicating a post-relationship relationship between tasks to be essential in performing the task or the importance of the task. The equipment information used for the task according to an embodiment may include identification information of the equipment used in the task, quantity information of the equipment, performance information of the equipment, cost information of the equipment, and the like. In addition, the equipment information used for the work according to an embodiment may further include information indicating the supply and demand location of the equipment, operating limited maritime conditions, operating speed, construction conditions, mooring conditions, equipment available time.

The manpower information used for the work according to an embodiment may include size information of the workforce used in the work, technology information of the workforce, cost information of the workforce, and the like. Duration information of a job according to an embodiment may include at least one of a minimum period, a maximum period, and an appropriate period generally required to perform the job. In addition, the period information of the job according to an embodiment may include information indicating the actual execution period of the job.

The marine condition information of the work site for each operation included in the offshore construction work in the construction schedule 510 of the previously performed offshore construction according to an embodiment is information indicating the environment of the sea and the seabed on the site where the work is performed. For example, wave information including digging, wave cycle, wave direction, seawater flow information including tidal current, tide, tidal flow, current flow, etc., and wind information including wind direction, wind speed, air pressure, etc. It may be to include. The marine condition information of the work site according to an embodiment may include marine condition information predicted prior to the execution of construction work for the work site and / or marine condition information observed when the actual construction work is performed.

According to an embodiment, the AI processor may learn a construction schedule in a unit of offshore construction or in a work unit included in offshore construction.

The construction schedule 510 of the previously performed offshore construction according to an embodiment may include information on a movement path of equipment used in the offshore construction and navigation information on the movement path. The information about the movement route according to an embodiment may include information indicating the actual movement route of the equipment used in the offshore construction. In addition, the port information according to an embodiment may include information indicating the port of the port was passed when the equipment used in the previously performed marine construction.

Hereinafter, referring to FIGS. 6 and 7, a more detailed process of acquiring marine condition information on offshore construction in the apparatus 100 according to an embodiment will be described.

6 is a flowchart of a method of acquiring marine condition information for marine construction according to an embodiment. FIG. 6 may be described with reference to the apparatus 100 of FIG. 4.

Referring to step 610 of FIG. 6, in the method for acquiring marine condition information according to an exemplary embodiment, terrain information of a site where at least one operation is performed may be obtained. The processor 160 according to an embodiment of the present invention communicates the terrain information of the site where at least one task is performed from an external server that stores a database of the terrain of the site or an external device that observes the terrain of the site. Can be obtained through. The processor 160 according to an embodiment may obtain the terrain information of the site where at least one task is performed from the memory 120.

Terrain information of the site according to an embodiment may be information including the depth, the seabed terrain, marine physics and the like according to the location of the site.

Referring to step 620 of FIG. 6, in the method for acquiring marine condition information according to an embodiment, weather prediction information on a site where at least one operation is performed may be obtained. The processor 160, according to an embodiment, obtains first weather prediction information from a server of a first institution among a plurality of external organizations through the communication interface 140, and obtains the first weather prediction information from a server of a second institution among the plurality of external organizations. Second weather prediction information may be obtained. According to an embodiment, the plurality of external organizations may be an organization that provides weather forecast information for a predetermined period of time in the future.

Weather forecast information according to an embodiment may include general weather information for the job site. In addition, the weather prediction information according to an embodiment includes wave information including wave height, wave period, wave direction, etc., seawater flow information including tidal current, tide, tidal flow, current flow, etc., and wind direction, wind speed, air pressure, and the like. May include wind information.

Referring to step 630 of FIG. 6, in the method of acquiring marine condition information according to an embodiment, the marine condition information may be generated based on the acquired terrain information and the first weather prediction information. The processor 160 according to an embodiment may generate marine condition information based on the terrain information and the first weather prediction information of the site by using an algorithm for generating and / or correcting the marine condition information of the work site. .

Referring to step 640 of FIG. 6, in the method of obtaining marine condition information according to an embodiment, the marine condition information may be corrected based on the second weather prediction information. The processor 160 according to an exemplary embodiment may correct the marine condition information generated in operation 630 by using an algorithm for generating and / or correcting marine condition information of a work site.

According to an embodiment, the processor 160 may perform steps 630 and / or 640 using an AI model learned based on past weather information of a site where at least one task is performed.

Specifically, FIG. 7 is a diagram for describing an operation of generating an artificial intelligence model for providing marine condition information according to an embodiment.

Referring to FIG. 7, an AI processor included in the apparatus 100 according to an embodiment may learn an artificial neural network, and may be trained based on past weather information of a site where at least one task is performed. Can be generated. According to an embodiment, the AI processor may generate an artificial intelligence model 720 by obtaining and using historical weather information 710.

The artificial intelligence model 720 shown in FIG. 7 is provided as an example, and the type of the artificial intelligence model according to the disclosed embodiment is not limited to the artificial neural network.

The historical weather information 710 acquired by the AI processor according to an embodiment may include general weather information such as temperature, water temperature, geothermal temperature, precipitation, humidity, tsunami, typhoon, etc. for the site where the marine construction is performed. Wave information including wave, wave, wave, wave, etc., seawater flow information including algae, tide, tidal flow, current flow and the like and wind information, including wind direction, wind speed, air pressure and the like can be further included.

The historical weather information 710 according to an embodiment may include weather observation data for a predetermined period of time on the site where the marine construction is performed. According to one embodiment, the past predetermined period of time may be a period of 20 to 30 years from the present. In addition, the past weather information 710 according to an embodiment may further include weather forecast data for a predetermined period of time for the site where the marine construction is performed.

 Method according to an embodiment is implemented in the form of program instructions that can be executed by various computer means may be recorded on a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. Program instructions recorded on the media may be those specially designed and constructed for the purposes of the present invention, or they may be of the kind well-known and available to those having skill in the computer software arts. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tape, optical media such as CD-ROMs, DVDs, and magnetic disks, such as floppy disks. Magneto-optical media, and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine code generated by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like.

Some embodiments may also be embodied in the form of a recording medium containing instructions executable by a computer, such as program modules executed by the computer. Computer readable media can be any available media that can be accessed by a computer and includes both volatile and nonvolatile media, removable and non-removable media. In addition, computer readable media may include both computer storage media and communication media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Communication media typically includes computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave, or other transmission mechanism, and includes any information delivery media.

In addition, some embodiments may also be implemented as a computer program or computer program product containing instructions executable by a computer, such as a computer program executed by a computer.

Although the embodiments of the present invention have been described in detail above, the scope of the present invention is not limited thereto, and various modifications and improvements of those skilled in the art using the basic concepts of the present invention defined in the following claims are also provided. It belongs to the scope of rights.

Claims (10)

In a method performed by a computer,
Identifying at least one offshore construction;
Identifying at least one task included in the identified offshore work;
Obtaining task information for the identified at least one task;
Obtaining marine condition information within a predetermined period of time for the at least one identified work;
Determining a construction schedule of the offshore construction work using the work information and the marine condition information; And
Adjusting a construction schedule of the determined offshore construction based on a movement path for transportation of equipment used for the at least one operation,
Adjusting the construction schedule of the determined marine work,
Obtaining port information for a plurality of points on a plurality of moving paths for transportation of the equipment;
Calculating the likelihood of navigation for the plurality of points;
Calculating cost of flight at the plurality of points;
Calculating a delay period during the navigation at the plurality of points;
Calculating an expected value of the navigating cost at the plurality of points based on the navigable cost and the navigating cost for the plurality of points;
Calculating an expected value of the delay period due to the navigating at the plurality of points based on the possibility of the navigating the plurality of points and the delay period;
Selecting one of the plurality of travel paths based on the expected value of the navigating cost and the expected value of the delay period;
Determining a moving cost and a moving period according to the selected moving path; And
Adjusting the construction schedule of the determined marine construction based on the movement cost and the movement period according to the selected movement route.
How to provide a construction schedule for offshore construction. The method of claim 1,
The job information,
At least one of relationship information between tasks, equipment information used for the task, manpower information used for the task, and duration information of the task;
The marine condition information,
To include the blue information, sea water flow information and wind information on the site where the at least one operation is performed,
How to provide a construction schedule for offshore construction. The method of claim 1,
Determining the construction schedule of the offshore construction,
Determining at least one of a work period, a work date, and a work cost for at least one work included in the offshore work based on a work target date and a work budget;
How to provide a construction schedule for offshore construction. The method of claim 1,
Determining the construction schedule of the offshore construction,
It is performed by the artificial intelligence model learned based on the construction schedule of the offshore construction,
How to provide a construction schedule for offshore construction. The method of claim 1,
Obtaining feedback information on the determined construction schedule; And
Changing the determined construction schedule by using the feedback information;
The feedback information includes at least one of supply and demand information of equipment and supply and demand information of the personnel for the at least one job,
How to provide a construction schedule for offshore construction. The method of claim 1,
Acquiring the marine condition information,
Acquiring terrain information of a site where the at least one task is performed;
Obtaining weather prediction information of the site from a plurality of organizations providing weather information;
Generating marine condition information of the site based on the terrain information and weather prediction information from a first of the plurality of engines; And
Correcting the generated marine condition information based on weather forecast information from a second engine of the plurality of engines;
How to provide a construction schedule for offshore construction. The method of claim 1,
Acquiring terrain information on the movement route; And
Changing the movement route based on the terrain information on the movement route;
How to provide a construction schedule for offshore construction. The method of claim 1,
Obtaining neighboring port information for the movement route;
Generating navigation information for a plurality of points on the movement route of the equipment based on the marine condition information on the movement route and the neighboring port information.
How to provide a construction schedule for offshore construction. Memory for storing one or more instructions; And
A processor for executing the one or more instructions stored in the memory;
The processor executes the one or more instructions,
An apparatus for carrying out the method of claim 1. A computer program, coupled to a computer, which is hardware, stored on a recording medium readable by a computer to perform the method of claim 1.

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