Golf course integrated management system

Abstract

Disclosed is a golf course integrated management system including a management server that has a processor and a memory. The processor comprises: a task management module for managing information about tasks performed in order to manage a golf course; a personnel management module for managing information about all workers assigned to the management of the golf course; a resource management module for managing information about resources allocated to tasks for the management of the golf course; a quality management module for managing information about the quality of management of the golf course; and a data analysis module for analyzing data on management costs and the quality of management of the golf course. In addition, the memory includes instructions for operations of the task management module, the personnel management module, the resource management module, the quality management module, and the data analysis module, and accumulates and stores output data from each of the modules.

Description

Golf Course Integrated Management System

[0001] The present invention relates to an integrated golf course management system, and more specifically, to an integrated golf course management system capable of improving the effectiveness and efficiency of golf course management by deriving the correlation between the cost of golf course management and the resulting course quality through the cumulative management of data regarding various tasks required for golf course management and the manpower, materials, equipment, and time required for such tasks.

[0002] Generally, golf courses provide areas with various environments such as teeing grounds, fairways, roughs, bunkers, water hazards, and greens on a large site. In order to maintain or improve the quality of a golf course, meticulous management of each of the aforementioned areas is required, and this incurs significant costs.

[0003] Therefore, if the correlation between the costs of golf course management and the quality of the course can be identified, it is possible to optimize the costs required to maintain appropriate course quality, which can be of great help in golf course maintenance.

[0004] The matters described above as background technology are intended only to enhance understanding of the background of the present invention and should not be construed as an acknowledgment that they constitute prior art already known to those skilled in the art.

[0005] Accordingly, the present invention aims to solve the technical problem of providing an integrated golf course management system capable of improving the efficacy and efficiency of golf course management by deriving the correlation between the cost of golf course management and the resulting course quality through the cumulative management of data regarding various tasks required for golf course management and the manpower, materials, equipment, and time required for such tasks.

[0006] The problems to be solved by the present invention are not limited to those described above, and other problems and advantages of the present invention not mentioned can be understood from the following description and will become more clearly known through the embodiments of the present invention. Furthermore, a person skilled in the art to which the present invention pertains will readily understand that the problems and advantages of the present invention can be realized by the means and combinations thereof set forth in the claims.

[0007] As a means to solve the above technical problem, the present invention is,

[0008] Includes memory and processor,

[0009] The above processor is,

[0010] A task management module that manages information on tasks performed for the management of a golf course;

[0011] A personnel management module that manages information on all workers involved in the management of the aforementioned golf course;

[0012] A resource management module that manages information on resources input for the above-mentioned golf course management work;

[0013] A quality management module that manages information on the management quality of the above golf course; and

[0014] It includes a data analysis module that analyzes data on the management costs and management quality of the above golf course, and

[0015] The memory includes instructions for the operation of the job management module, the personnel management module, the resource management module, the quality management module, and the data analysis module, and accumulates and stores output data of the job management module, the personnel management module, the resource management module, the quality management module, and the data analysis module.

[0016] We provide a golf course integrated management system that includes a management server.

[0017] In an embodiment of the present invention, the work management module can receive and store work instruction data input by a manager through an external manager terminal and transmit the corresponding work instruction data to an external worker terminal.

[0018] In an embodiment of the present invention, the work instruction data may include a work target location, a type of work, the type and number of equipment required for the work, the type and number of materials used for the work, and at least some of the workers for the work.

[0019] In an embodiment of the present invention, the personnel management module can manage at least some of the following: a total list of workers, job titles for each worker, employment type, work start dates for each worker, work hours for each worker, work schedules for each worker, and labor costs for each worker.

[0020] In an embodiment of the present invention, the resource management module can manage at least some of the following: the incoming, outgoing, and inventory quantities of materials such as pesticides or fertilizers used in the work; the incoming, outgoing, and inventory quantities of fuel consumed by equipment used in the work; information on the incoming and outgoing equipment and maintenance work used in the work; irrigation locations; irrigation stations; and irrigation schedules.

[0021] In an embodiment of the present invention, the quality management module can receive information provided from an aerial photograph of the golf course or a sensor installed within the golf course and generate a golf course management quality result accordingly.

[0022] In an embodiment of the present invention, the quality control module may include a plurality of artificial neural network layers whose weights are modified through learning to extract feature information either alone or in combination with the aerial photograph and the sensor information, and an artificial intelligence model having an artificial neural network layer that classifies the extracted feature information to classify state results for various areas of a golf course.

[0023] In an embodiment of the present invention, the data analysis module can generate and score statistical data regarding the costs incurred for maintenance performed on the course or hole, either on a course unit or a hole unit, for the entire course of the golf course, and compare this with the score for previous costs stored in the memory.

[0024] In an embodiment of the present invention, the data analysis module can score the quality of the course or hole at the entire course of the golf course, or at the course unit, or at the hole unit, and compare it with the score for previously analyzed quality.

[0025] According to the aforementioned golf course integrated management system, data regarding various tasks required for golf course management and the personnel, materials, equipment, and time required for those tasks is accumulated and stored. By comparing the accumulated data with current management data, it is possible to maintain golf course quality and improve the effectiveness and efficiency of purchasing materials and equipment.

[0026] In particular, according to the aforementioned integrated golf course management system, the correlation between the costs incurred in golf course management and the resulting quality can be derived from accumulated data, thereby enabling the calculation of the optimal cost for maintaining future golf course quality.

[0027] The effects obtainable from the present invention are not limited to those mentioned above, and other unmentioned effects will be clearly understood by those skilled in the art from the description below.

[0028] The following drawings attached to this specification illustrate preferred embodiments of the present invention and serve to facilitate a better understanding of the technical concept of the present invention together with the detailed description of the invention provided below; therefore, the present invention should not be interpreted as being limited only to the matters described in the following drawings.

[0029] FIG. 1 is a configuration diagram illustrating a golf course integrated management system according to an embodiment of the present invention.

[0030] FIG. 2 is a block diagram illustrating the management server of a golf course integrated management system in more detail according to an embodiment of the present invention.

[0031] Hereinafter, a golf course integrated management system according to various embodiments of the present invention will be described in detail with reference to the attached drawings.

[0032] Specific structural or functional descriptions of the embodiments described below are disclosed merely for illustrative purposes and may be modified and implemented in various forms. Accordingly, the embodiments are not limited to specific disclosed forms, and the scope of this specification includes modifications, equivalents, or substitutions that fall within the technical concept.

[0033] Terms such as "first" or "second" may be used to describe various components, but these terms should be interpreted solely for the purpose of distinguishing one component from another. For example, the first component may be named the second component, and similarly, the second component may be named the first component.

[0034] When it is stated that a component is "connected" to another component, it should be understood that it may be directly connected to or coupled with that other component, or that there may be other components in between.

[0035] The singular expression includes the plural expression unless the context clearly indicates otherwise. In this specification, terms such as "comprising" or "having" are intended to specify the existence of the described features, numbers, steps, actions, components, parts, or combinations thereof, and should be understood as not precluding the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof.

[0036] Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by those skilled in the art. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and should not be interpreted in an ideal or overly formal sense unless explicitly defined in this specification.

[0037]

[0038] FIG. 1 is a configuration diagram of a golf course integrated management system according to an embodiment of the present invention.

[0039] A golf course integrated management system according to an embodiment of the present invention may include a management server (10) and a manager terminal (20) and a worker terminal (30) capable of exchanging data with the management server (10) via wired or wireless communication.

[0040] The management server (10) is a computing device configured to execute various operations implemented in the golf course integrated management system according to an embodiment of the present invention.

[0041] The management server (10) can communicate with the manager terminal (20) and the worker terminal (30) through the communication network (40). The management server (10) can be implemented as a computing device including a processor, memory, a communication module, etc.

[0042] The processor of the management server (10) can perform various data processing or operations, for example, software (program). As at least part of the data processing or operations, the processor can store instructions or data received from other components in volatile memory, process the instructions or data stored in volatile memory, and store the resulting data in non-volatile memory.

[0043] The processor may include a main processor (e.g., a central processing unit or an application processor) or an auxiliary processor capable of operating independently or together with it (e.g., a graphics processing unit, a neural network processing unit, an image signal processor, a sensor hub processor, or a communication processor).

[0044] The auxiliary processor may control at least some of the functions or states associated with at least one component of the management server, for example, on behalf of the main processor while the main processor is in an inactive (e.g., sleep) state, or together with the main processor while the main processor is in an active (e.g., application execution) state. The auxiliary processor may also be implemented as part of other functionally related components. In particular, the auxiliary processor may include a hardware structure specialized for processing artificial intelligence models. The artificial intelligence model may be generated through machine learning. Such learning may be performed, for example, on the electronic device itself where the artificial intelligence is executed, or through a separate server. The learning algorithm may include, for example, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning, but is not limited to the examples described above. The artificial intelligence model may include a plurality of artificial neural network layers. An artificial neural network may be a deep neural network (DNN), a convolutional neural network (CNN), a recurrent neural network (RNN), a restricted Boltzmann machine (RBM), a deep belief network (DBN), a bidirectional recurrent deep neural network (BRDNN), a deep Q-network, or a combination of two or more of the above, but is not limited to the examples described above. In addition to the hardware structure, the artificial intelligence model may include a software structure, either additionally or substantially.

[0045] The memory may store various data used by at least one component (e.g., a processor) of the management server (10). The data may include, for example, input data or output data for software (programs) and related instructions. The memory may include volatile memory or non-volatile memory.

[0046] A program can be stored in memory as software and may include, for example, an operating system, middleware, or an application.

[0047] The communication module can support the establishment of a direct communication channel or a wireless communication channel between the management server (10) and an external device (e.g., a manager terminal (20) or a worker terminal (30), and the performance of communication through the established communication channel. The communication module may include one or more communication processors that operate independently of the processor and support direct communication or wireless communication. The communication module may include a wireless communication module (e.g., a cellular communication module, a short-range wireless communication module, or a GNSS (global navigation satellite system) communication module) or a wired communication module (e.g., a LAN (local area network) communication module, or a power line communication module). The communication module can communicate with an external electronic device (e.g., a manager terminal (20) or a worker terminal (30)) through a communication network (40). These various types of communication modules may be integrated into a single chip or implemented as multiple separate chips.

[0048] The manager terminal (20) and the worker terminal (30) may also be computing devices including a processor, memory, and a communication module, and may be implemented primarily in the form of a highly portable personal communication terminal (e.g., a smartphone, a smart pad, or a laptop computer). A dedicated application pre-programmed to transmit and receive instructions required by the golf course integrated management system through communication with the management server (10) may be installed in the memory of the manager terminal (20) and the worker terminal (30), and the necessary instructions may be received through the application executed by the processor and transmitted to the management server (10), and instructions may be received from the management server (10) and a corresponding screen displayed.

[0049] FIG. 2 is a block diagram illustrating the management server of a golf course integrated management system in more detail according to an embodiment of the present invention.

[0050] Referring to FIG. 2, a management server (10) of a golf course integrated management system according to an embodiment of the present invention may include a processor (11) comprising a plurality of execution modules for executing a specific instruction, and a memory (12) that stores instructions executed by the processor (11), execution result data of each execution module of the processor (11), or data required for the operation of each execution module.

[0051] The processor (11) of the management server (10) may include a job management module (110), a personnel management module (111), a resource management module (112), a quality management module (113), and a data analysis module (114).

[0052] The work management module (110) may be a module that manages information related to work performed for the management of a golf course. The work management module (110) may receive work instruction data input by a manager through a manager terminal (20), store it in memory (12), and transmit the work instruction data to a worker terminal (30). Here, the work instruction data may include the work target location (hole number and work location within the hole (e.g., green, fairway, bunker, etc.)), the type of work (e.g., pesticide spraying, fertilizer spraying, weed removal, grass transplanting, sand replenishment, etc.), the type and number of equipment required for the work, the type and number of materials used for the work, and the worker for the work.

[0053] The personnel management module (111) is a module that manages all workers involved in golf course management, and can manage a list of all workers, job titles, employment types, work start dates, work hours, and work schedules (e.g., whether on duty or off duty by date). The personnel management module (111) can also update the aforementioned management items, such as creating, adding, modifying, or deleting them, according to instructions provided by the manager terminal (20) or the worker terminal (30). The personnel management module (111) can also receive and manage information regarding costs, such as labor costs for workers.

[0054] The resource management module (112) is a module that manages resources used for golf course management, such as work or irrigation. For example, the resource management module (112) can manage the incoming, outgoing, and inventory quantities of materials such as pesticides or fertilizers used in work, the incoming, outgoing, and inventory quantities of fuel consumed by equipment used in work, information on the incoming and outgoing of equipment and maintenance work, irrigation locations, irrigation stations, and irrigation schedules. The resource management module (112) can also update the aforementioned management items, such as creating, adding, modifying, or deleting them, according to instructions provided by the manager terminal (20) or the worker terminal (30). The resource management module (112) can manage costs associated with the incoming, outgoing, and inventory of resources.

[0055] The quality management module (113) is a module that manages information regarding management quality, such as the condition of the turf of the golf course being managed. The quality management module (113) receives information provided by aerial photographs of the golf course taken by a drone, satellite photographs, or sensors installed within the golf course to acquire information related to management quality (e.g., sensors that measure atmospheric and subsurface temperature, atmospheric and subsurface humidity, pH of the soil, rainfall, solar radiation, etc. for golf course turf management) and can generate golf course management quality results accordingly.

[0056] For example, the quality control module (113) can manage information from aerial photographs of a drone, satellite photographs, and / or sensors. In particular, the quality control module (113) may include an artificial intelligence model that classifies the condition of golf course turf using aerial photographs alone or aerial photographs and sensor information as input. The quality control module (113) may include a plurality of artificial neural network layers whose weights are modified through learning to extract feature information by combining aerial photographs alone or aerial photographs and sensor information, and an artificial neural network layer that classifies feature information to classify the condition results for various areas of the golf course.

[0057] The quality control module (113) can diagnose locations or areas requiring work based on the results of the condition of the golf course work area, mark and save the locations or areas in an aerial photograph, and display them on the manager terminal (20) and the worker terminal (30).

[0058] In particular, in an embodiment of the present invention, the quality control module (113) can perform quality control for controlling pests and diseases of golf course turf. The artificial intelligence model included in the quality control module (113) can be trained to determine the occurrence of pests and diseases of turf and monitor the trend using aerial photographs alone or aerial photographs and sensor information as input, and can be trained to suggest specific control measures (such as the control agent used for control and the timing of spraying) for the pests and diseases that have occurred.

[0059] The following table describes examples of pests that can be identified by the quality control module (113) and control operations proposed accordingly.

[0060] Dollar Blight [Pest and Disease Information] - Pathogen: Clarireedia sp. - Primarily occurs in cool-season turfgrass during spring and autumn, with an optimal temperature range of 18–24°C. - Lesions are initially within 5 cm in diameter; as the disease progresses, small lesions cluster together to form irregular patches within 30 cm. - In Korean turfgrass, it occurs frequently in nutrient-deficient rough areas, forming clusters of lesions larger than 30 cm. - Initially, the lesions yellow and become waterlogged; the spindle-shaped infected borders turn yellowish-brown or reddish-brown before eventually becoming discolored. - It is primarily active at dawn when dew forms on the grass blades. Mycelia form on the ground above the lesions like white cotton, sometimes leading to confusion with Pythium. - Conditions for occurrence: Nitrogen deficiency; high relative humidity in dry soil during periods of heavy dew formation. [Suggested Control Measures] - Increase nitrogen fertilizer application to affected areas by 5–10% and apply one additional time. - Use a dew removal device. Suggestion to remove dew using a green mower or green fan, and to use surfactants. - Suggestion to ensure lawn clippings are collected if the disease progresses. - Since pesticide selection is critical due to pesticide resistance, suggest refraining from the duplicate use of single pesticides and implementing thorough preventive management. - Control agents: Suggest alternating use of iprodione, propiconazole, pyraclostrobin, fludioxanol, etc. Sclerotinia Sclerotinia influenzae [Pest and Disease Information] - Pathogen: Typhula incarnata, T.Ishikariensis (Gray Snow Mold) - Primarily infects cool-season turfgrass, with an onset temperature of 0–10°C. - Initially, affected areas appear as pale yellow patches measuring 2–10 cm; infected leaves turn whitish-gray, eventually becoming matted due to soft rot. - Infected lesions take the form of patches approximately 30–60 cm in diameter; when the disease develops, the lesions expand to form grayish-brown mycelia. - Small, hard sclerotia form on infected leaves and stems, which are visible to the naked eye. - While there are red snow mold and gray snow mold, gray snow mold is the most common type in Korea. [Proposed Control Measures] - Prophylactic fungicide application is suggested prior to snowfall forecasts / If there is a history of snow mold, fungicide application is suggested at least twice starting in early October. - Major fungicides include metconazole, propiconazole, tebuconazole, pyroclostrobin, and chlorothalonil, with a water volume of 500 ml / m². 2Suggestion for sufficient spraying: Combined fungicides (chlorothalonil, cresoxim-methyl, azoxystrobin, thiophanate-methyl, acibenzola-S-methyl, azoxystrobin, etc.) are suggested. Pythium Blight [Pest and Disease Information] - Pathogens: Pythium ultimum, P. aphanidermatum - Primarily infects cool-season turfgrass, with a wide temperature range of 10–30°C for occurrence. - Occurs as circular lesions 2–3 cm in size; as the lesions enlarge, the grass leaves become waterlogged in the early stages of infection and progress to a dark gray color. - As the disease progresses, white mycelia are produced, and the grass plant dies rapidly due to the waterlogged appearance. - Since cold-tolerant pathogens can also occur in the spring, preventive treatments are important. [Suggested Control Measures] - Prophylactic application at 2-week intervals in July is suggested (preparation for the rainy season). - Drenching treatment 1–2 times at 3–7 day intervals is suggested at the early stages of infection (maximally suppresses disease spread and also provides suppression of Pythium root disease). - Early stage Suggestion: Upon discovery, sample the affected area to strictly observe the pathogen by site and verify the history of previous pesticide treatments. - Suggested excellent control agents include etridizol, azoxystrobin, metalaxyl, pyracrolstrobin, fosetyl-R, and propamocarb. Brown Leaf Blight [Pest Information] - Pathogen: Rhizoctonia solani AG1-1A, AG2-2(IIIB) - Causes infection in cool-season turfgrass with a wide temperature range of 15–30℃. - Under wet conditions, the edges turn dark gray, while under dry conditions, the entire area dies off in the form of brown, circular patches. - Primarily occurs after fertilization during the rainy season (late June to early August) and in September–October. [Suggested Control Measures] - Caution regarding phytotoxicity during high-temperature control (DMI-based agents). - Major pesticides include tebuconazole and azoxystrobin.Proposed treatments for Rhizoctonia blight using Tebuconazole, Thiophanate-methyl, etc. [Pest and Disease Information] - Pathogen: Rhizoctonia solani AG2-2(IV) - Occurrence occurs mainly at temperatures between 18 and 25°C, forming circular lesions ranging from 30 cm to over 3–5 mm in diameter. - Lesions enlarge rapidly, and severely infected grass leaves turn brown from blackish-brown to straw-colored. - If the base of the plant is infected, the grass plant is easily pulled out; if pathogen activity is high, the edges of the lesions turn bright yellow. [Proposed Control Measures] - Spring control: Apply pesticides in early April (southern regions) or starting in late April at one-month intervals (central regions). During the rainy season from late June to mid-July, pesticide application is recommended based on the severity of the infestation. - Autumn control: Partial or full-scale control is recommended from late August to October. - Apply pesticides immediately after rainfall at the optimal temperature of 20°C–28°C. Suggested spraying is mandatory - Suggested pesticides include tebuconazole, azoxystrobin (preventive), tebuconazole, azoxystrobin, pensicurone pyroclostrobin, triticonazole, etc. - In addition to the officially notified pesticides, microbial preparations (Bacillus sp.) before the rainy seasonProposal to utilize ) and in-house thatch decomposers - Proposal to reduce thatch and organic matter through renewal work while providing appropriate nutrients (less than 20g of pure nitrogen per application) - Proposal to spray a sufficient volume (1~2 l / ㎡) as pathogens mainly inhabit the thatch layer and invade through the base of the turf - Spotted Scarabae [Pest Information] - Pest Name: Spotted Scarabae (Blitopertha orientalis) - Primarily caused by larvae, it is an important beetle frequently found on golf courses and is mainly found in the southern regions of Korea - Adults are nocturnal and gather at lure lights [Proposed Control Measures] - For larval control, it is proposed to spray a 1,000-fold dilution of insecticides such as mephos at a rate of 2~3 l / ㎡ around late July to mid-August when larvae are close to the turf roots - For focused control of adults, it is proposed to spray a 1,000-fold dilution of insecticide at a rate of 250 l / 10a Reporting that it is difficult to apply pesticides at the right time by avoiding rainy days because the emergence of adult moths in the southern region almost coincides with the rainy season, it is proposed to conduct pesticide treatment at night when adults emerge above ground. Black Cutworm [Pest Information] - Pest Name: Black Cutworm (Agrotis ipsilon Hufnagel) - Adults are nocturnal. Eggs are laid in scattered spots near the lower leaves and roots of the grass. Emergence appears to peak in mid-May, late July, and late September. Larvae begin to appear around early May; during the early stages (second instar and below), they live on grass leaves, leaving small, hole-shaped feeding marks. Larvae of the third instar and above lie dormant in the soil during the day and feed on the grass only at night. [Proposed Control Measures] - It is suggested to control larvae using registered pesticides such as cyclaniliprol, carbosulfan, and chlorantraniliprol. - Early control during the first to third instar larvae stage is important. It is suggested to apply control measures once a month between May and October (southern regions) and July and September (central regions), coinciding with the emergence periods of cutworm and black cutworm larvae. Lawn Crambuse Moth [Pest Information] - Pest Name: Lawn Crambuse Moth (Crambuse sp.)- It damages both warm-season and cool-season grasses, including bentgrass, Bermuda grass, and wild grass. The larvae grow very quickly, causing significant damage to the turf and resulting in rapid outbreaks. - It overwinters as a larva, and adults are nocturnal and exhibit strong phototaxis. - The first generation of adults emerges around early May and is primarily nocturnal. Adult emergence occurs in early May, early July, and from late August to mid-October; they land on grass leaves to mate and lay eggs. - Adults move in swarms on greens and tee grounds, and larvae immediately after emergence feed on the tender parts of newly emerged leaves. [Suggested Control Measures]- Suggested control agents include broflanilide and tetraniliprol (effective against the spotted sedge). - It is suggested to spray agents late in the afternoon or in the evening. Grass Bean Moth [Pest Information]- Pest Name: Grass Bean Moth (Spodoptera depravata Butler)- Infects both cool-season and warm-season grasses They cause damage, and overwintering larvae begin activity in the spring and feed vigorously, inflicting significant damage on Korean lawn grass during the sprouting stage. Although the density of first-generation adults is not particularly high, feeding volume increases rapidly after the third instar, to the extent that they consume all grass leaves overnight, leaving only stolons. Damage appears to spread in concentric circles. [Proposed Control Measures] - As for control agents, it is suggested to spray a 1,000-fold dilution of fenitrothion or ploxametamide during the larval stage. - In particular, if significant damage caused by overwintering larvae is detected, it is suggested to mix insecticides with herbicides and apply a full-surface spray in late March to early April. - After the emergence of first and second-generation adults has ended, it is suggested to spray an insecticide with a long residual effect.

[0061] The data analysis module (114) can generate various statistical data for specific periods (e.g., weekly, monthly, yearly) for each course of the golf course.

[0062] For example, the data analysis module (114) can generate statistical data on the total costs incurred for maintenance, such as work and watering, performed on the course or hole, for the entire course of the golf course, or on a course unit, or on a hole unit. For example, the data analysis module (114) can generate statistics on labor costs, material costs, fuel costs, equipment maintenance costs, construction costs, and other costs incurred for management for the entire course, or on a course unit, or on a hole unit, for specific periods. This cost information can be received from the memory (12). Additionally, the data analysis module (114) can score the statistics on the generated costs and compare them with the scores for previous costs.

[0063] Additionally, the data analysis module (114) can score the quality of the course or hole for the entire golf course, or for a course unit, or for a hole unit, and can compare it with a previously analyzed quality score.

[0064] Additionally, the data analysis module (114) can generate a report containing information on analyzed cost statistics or quality statistics and a report diagnosing the current cost and quality status by comparing it with previous cost statistics or quality statistics.

[0065] Information generated by the work management module (110), personnel management module (111), resource management module (112), quality management module (113) and data analysis module (114) can be accumulated and stored in the form of a database in memory (12), and the work management module (110), personnel management module (111), resource management module (112), quality management module (113) and data analysis module (114) can read the information accumulated and stored in the form of a database as needed and perform operations and processing tasks according to specific instructions.

[0066] As described above, the golf course integrated management system according to the embodiment of the present invention can improve the maintenance of golf course quality and the effectiveness and efficiency of purchasing materials and equipment by accumulating and storing data regarding various tasks required for golf course management and the personnel, materials, equipment, time, etc. required for such tasks, and by managing the accumulated data by comparing it with current management data.

[0067] In particular, the golf course integrated management system according to an embodiment of the present invention can derive the correlation between the costs required for golf course management and the quality resulting therefrom from accumulated data, thereby enabling the calculation of the optimal cost for maintaining future golf course quality.

[0068] ― Explanation of Symbols ―

[0069] 10: Management Server 11: Processor

[0070] 110: Task Management Module 111: Workforce Management Module

[0071] 112: Resource Management Module 113: Quality Management Module

[0072] 114: Data Analysis Module 12: Memory

[0073] 20: Administrator terminal 30: Worker terminal

Claims

1. Includes memory and a processor, The above processor is, A task management module that manages information on tasks performed for the management of a golf course; A personnel management module that manages information on all workers involved in the management of the aforementioned golf course; A resource management module that manages information on resources input for the above-mentioned golf course management work; A quality management module that manages information on the management quality of the above golf course; and It includes a data analysis module that analyzes data on the management costs and management quality of the above golf course, and The memory includes instructions for the operation of the job management module, the personnel management module, the resource management module, the quality management module, and the data analysis module, and accumulates and stores output data of the job management module, the personnel management module, the resource management module, the quality management module, and the data analysis module. Golf course integrated management system including a management server.

2. In Claim 1, The above-described work management module is characterized by receiving and storing work instruction data entered by a manager through an external manager terminal and transmitting the corresponding work instruction data to an external worker terminal.

3. In claim 2, the work instruction data is, A golf course integrated management system characterized by including a work target location, a type of work, the type and number of equipment required for the work, the type and number of materials used for the work, and at least some of the workers for the work.

4. In Claim 1, the personnel management module comprises: A golf course integrated management system characterized by managing at least a portion of the total worker list, job titles, employment types, work start dates, work hours, work schedules, and worker labor costs.

5. In claim 1, the resource management module is, A golf course integrated management system characterized by managing at least some of the following: the incoming, outgoing, and inventory quantities of materials such as pesticides or fertilizers used in the work; the incoming, outgoing, and inventory quantities of fuel consumed by equipment used in the work; information on the incoming and outgoing equipment and maintenance work used in the work; irrigation locations; irrigation stations; and irrigation schedules.

6. In claim 1, the quality control module is, A golf course integrated management system characterized by receiving information provided from aerial photographs of the golf course or sensors installed within the golf course and generating golf course management quality results accordingly.

7. In claim 6, the quality control module is, A golf course integrated management system characterized by including an artificial intelligence model having a plurality of artificial neural network layers whose weights are modified through learning to extract feature information either alone or in combination with the aerial photograph and the sensor information, and an artificial neural network layer that classifies the extracted feature information to classify state results for various areas of the golf course.

8. In claim 1, the data analysis module is, A golf course integrated management system characterized by generating and scoring statistical data on the costs incurred for maintenance performed on the entire course, or on a course unit, or on a hole unit of the golf course, and comparing this with the scores for previous costs stored in the memory.

9. In claim 8, the data analysis module is, A golf course integrated management system characterized by scoring the quality of the entire course, or on a course unit, or on a hole unit, of the said golf course, and comparing it with a score for previously analyzed quality.

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