EP4396576A2 - Procédé et système d'entretien de pelouses - Google Patents

Procédé et système d'entretien de pelouses

Info

Publication number
EP4396576A2
EP4396576A2 EP22776875.1A EP22776875A EP4396576A2 EP 4396576 A2 EP4396576 A2 EP 4396576A2 EP 22776875 A EP22776875 A EP 22776875A EP 4396576 A2 EP4396576 A2 EP 4396576A2
Authority
EP
European Patent Office
Prior art keywords
soil
sensors
sensor
lawn
database
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP22776875.1A
Other languages
German (de)
English (en)
Inventor
Mike Auer
Markus Oles
Meinolf Haarhaus
Andreas Rittinghaus
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Publication of EP4396576A2 publication Critical patent/EP4396576A2/fr
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/24—Earth materials
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/24—Earth materials
    • G01N33/246—Earth materials for water content
    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
    • A01G25/00—Watering gardens, fields, sports grounds or the like
    • A01G25/16—Control of watering
    • A01G25/167—Control by humidity of the soil itself or of devices simulating soil or of the atmosphere; Soil humidity sensors
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2220/00—Measuring of physical parameters relating to sporting activity
    • A63B2220/70—Measuring or simulating ambient conditions, e.g. weather, terrain or surface conditions
    • A63B2220/72—Temperature
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2220/00—Measuring of physical parameters relating to sporting activity
    • A63B2220/70—Measuring or simulating ambient conditions, e.g. weather, terrain or surface conditions
    • A63B2220/75—Humidity
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2220/00—Measuring of physical parameters relating to sporting activity
    • A63B2220/80—Special sensors, transducers or devices therefor
    • A63B2220/83—Special sensors, transducers or devices therefor characterised by the position of the sensor
    • A63B2220/833—Sensors arranged on the exercise apparatus or sports implement
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2225/00—Miscellaneous features of sport apparatus, devices or equipment
    • A63B2225/50—Wireless data transmission, e.g. by radio transmitters or telemetry
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B57/00—Golfing accessories
    • A63B57/40—Golf cups or holes
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/096—Transfer learning

Definitions

  • the invention relates to a computer-aided method for the care of lawns, with a number of soil and environmental parameters being recorded by means of sensors and with care measures being derived and initiated therefrom.
  • Lawn maintenance is known to be a labor and resource intensive task. In parks, for example, green areas are mowed regularly and subjected to basic maintenance. Sports facilities such as golf courses or football pitches have significantly higher maintenance requirements. Different lawn types are distinguished. The so-called multi-cut lawns are particularly relevant with regard to regular care. This includes all types of lawn that are used for a specific purpose by humans. The following types of lawns should be mentioned: ornamental lawns, utility lawns, hard-wearing lawns, landscaped lawns. One of the most demanding types is the deep-cut lawn, which, strictly speaking, can be counted as a separate type of lawn. It is typically used on golf and bowling greens as well other special lawns. Its properties are characterized by a very high deep cut tolerance.
  • grass which are mostly grass, have a typical size of 60-75 hectares. Various types of grass are typically found on the course. Depending on the function, different types of grass are used on the golf course, which also have different requirements for care, irrigation and basic maintenance.
  • the structure also differs from area to area. Heavy-duty turf is used in the area of the tees. Its cutting height is 10-16 mm. The cutting frequency is 2-3 times a week. Irrigation for these areas is required depending on the geographical location. The fairway also requires a very hard-wearing lawn. The cutting height is higher here, around 10-20 mm, the cutting frequency is slightly lower, 1-3 times a week.
  • this area is rarely watered, as the water requirement for the entire system would otherwise be very high.
  • These areas also require special care, as they can significantly influence the microclimate of the place.
  • the maintenance requirements here are not as high as those on the other lawns.
  • Some of the most challenging lawns include the front green and the green.
  • the cutting frequency in the front green area is 3-4 times a week and is therefore significantly higher than on the lawn areas mentioned above. Typically will a cutting height of 10-16 mm. Regular fertilizing and watering are necessary. This is usually done via automatic irrigation systems. The green is even more challenging than the front green. Here the cutting height is only 3.5-5 mm.
  • the cutting frequency is 5-7 times a week.
  • a deep-cut lawn is used as the lawn.
  • the irrigation and drainage of the green is critical.
  • the greens are heavily used in the game.
  • the soil becomes more and more compacted over time as players step onto the green and machines regularly drive over the area of the green.
  • the compaction of the soil affects not only the physical properties of the lawn, but also the underlying layers and thus the water balance. This area is particularly maintenance-intensive, as it should have a surface that is as homogeneous as possible. In the warmer months of the year, these areas always need intensive irrigation.
  • the core of the invention is the acquisition of ground and environmental parameters of the lawn at different points in time and the storage of the parameters as time series in a database.
  • a previously suitably trained artificial intelligence e.g. in the form of a neural network (deep learning network)
  • derives the initiation i.e. the type and time of the care measures to be carried out, from these time series.
  • Due to the consideration of the time series, according to the invention it is primarily the relative changes in the parameters that are important. This has the advantage that the absolute values of the parameters are of secondary importance.
  • a complex, precisely calibrated sensor system can be dispensed with.
  • the advantage of the invention lies in particular in the fact that the expert knowledge of gardeners or greenkeepers does not have to be resorted to, or only to a reduced extent, when tending to the lawn. All relevant maintenance measures, whether they can be automated or not, can be taken into account. Certain care measures (e.g. watering the lawn) can be controlled automatically by the method according to the invention. Other maintenance measures can be initiated by a corresponding output/instruction from the computer system. The execution is then carried out manually by human personnel on the output/instruction. This staff only has to be trained in the implementation of the measures, but does not require in-depth expert knowledge in order to be able to decide on the right time for a specific care measure. In addition, errors in care can be avoided by the invention.
  • Certain care measures e.g. watering the lawn
  • Other maintenance measures can be initiated by a corresponding output/instruction from the computer system. The execution is then carried out manually by human personnel on the output/instruction. This staff only has to be trained in the implementation of the measures,
  • condition data is particularly useful because it allows the condition and changes in the condition of the lawn over time to be taken into account directly when training the neural network, as well as the effects of the maintenance measures carried out, thus ensuring a particularly reliable initiation of the correct maintenance measures at a specific point in time can be.
  • At least the following soil parameters are detected by sensors: moisture in one or more different soil depths, temperature in one or more different soil depths.
  • at least the following environmental parameters should be recorded: temperature, humidity, preferably at different heights above the ground. Based on this minimal range of sensor-recorded parameters, a meaningful control of the care measures based on artificial intelligence is already possible.
  • at least one of the following additional soil parameters is detected by sensors: nutrient content (e.g. nitrogen content), pH value, CC content, O2 content, electrical conductivity.
  • At least one of the following additional environmental parameters can also be recorded: irradiance of the sun (e.g.
  • the ground Due to the high loading of the surfaces of golf courses by machines and players, the ground is compacted and changes its shape Characteristics.
  • the compaction of the soil leads to a weaker gas exchange and thus to less oxygen in the soil and an accumulation of carbon dioxide.
  • the water is drained worse and waterlogging forms. Greens in particular must therefore be regularly aerated and loosened. This is done by aerating, eg by punching methods, slitting or splitting and then filling the holes or splits with sand.
  • the detected sensor data can be used to determine whether the greens of a golf course are frozen. In this case you can be blocked automatically. For example, the number of players can be limited in a graduated manner, driving with golf carts can be prohibited or the course can be completely closed. This can also be viewed as a care measure within the meaning of the invention.
  • the duration and course of the ground frost also allow conclusions to be drawn about the risk of pest infestation. Again, there is no direct causality. Nevertheless, according to the invention, the artificial intelligence is able to automatically initiate suitable care measures (e.g. pest control).
  • the at least one sensor of the insert is expediently designed for sensory detection of one or more of the following soil parameters: moisture in one or more different soil depths, temperature in one or more different soil depths, nutrient content (e.g. nitrogen content), pH value, CO2 content, O2 -Content, electrical conductivity.
  • soil parameters moisture in one or more different soil depths, temperature in one or more different soil depths, nutrient content (e.g. nitrogen content), pH value, CO2 content, O2 -Content, electrical conductivity.
  • FIG. 1 shows a system according to the invention.
  • a lawn area 1 grows on a lawn-bearing layer 2 .
  • a water-permeable drainage layer 3 Below that, in turn, is a subsoil 4.
  • the system includes a computer 5, which is connected to a database 6.
  • a large number of sensors are wired or wirelessly connected to the computer 5 to record ground and environmental parameters.
  • a temperature sensor 7 is provided, which records the soil temperature in each of the different soil layers, as well as a moisture sensor 8 and a combined CO2 and pH sensor 9.
  • a digital image sensor 10 records image data of the lawn area 1.

Landscapes

  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Food Science & Technology (AREA)
  • Analytical Chemistry (AREA)
  • Geology (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Environmental & Geological Engineering (AREA)
  • Medicinal Chemistry (AREA)
  • Physics & Mathematics (AREA)
  • Remote Sensing (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Cultivation Of Plants (AREA)
  • Road Paving Structures (AREA)

Abstract

L'invention concerne un procédé assisté par ordinateur destiné à assurer l'entretien de pelouses, selon lequel une pluralité de paramètres de sol et d'environnement sont détectés au moyen de capteurs (7, 8, 10, 11) et des dispositions d'entretien à prendre sont dérivées et initiées à partir desdits paramètres. L'invention vise à proposer une approche permettant de parvenir à un entretien économique ainsi que complet et efficace de pelouses, par utilisation de moyens techniques. A cet effet, selon l'invention, les paramètres de sol et d'environnement détectés à différents instants sont enregistrés dans une banque de données (6) sous la forme de séries temporelles, les dispositions d'entretien à prendre étant dérivées des paramètres détectés et de leur variation dans le temps au moyen d'une intelligence artificielle. L'invention concerne en outre un système d'assistance à l'entretien de pelouses, qui comporte au moins un ordinateur (5), au moins une banque de données (6) et une pluralité de capteurs (7, 8, 9, 10, 11) reliés par fil ou sans fil à l'ordinateur (5), lesquels sont destinés à détecter des paramètres de sol et d'environnement. L'invention concerne en outre un insert (21) pour un trou de golf, comportant un pot de réception de balle (22) ouvert au niveau de la face supérieure et pouvant être inséré dans le trou de golf.
EP22776875.1A 2021-09-02 2022-08-31 Procédé et système d'entretien de pelouses Pending EP4396576A2 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102021122711.9A DE102021122711A1 (de) 2021-09-02 2021-09-02 Verfahren und System zur Pflege von Rasenflächen
PCT/EP2022/074170 WO2023031252A2 (fr) 2021-09-02 2022-08-31 Procédé et système d'entretien de pelouses

Publications (1)

Publication Number Publication Date
EP4396576A2 true EP4396576A2 (fr) 2024-07-10

Family

ID=83438940

Family Applications (1)

Application Number Title Priority Date Filing Date
EP22776875.1A Pending EP4396576A2 (fr) 2021-09-02 2022-08-31 Procédé et système d'entretien de pelouses

Country Status (3)

Country Link
EP (1) EP4396576A2 (fr)
DE (1) DE102021122711A1 (fr)
WO (1) WO2023031252A2 (fr)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102024111929A1 (de) 2024-04-29 2025-10-30 Jörg Biegert Verfahren zur Steuerung von Bewässerungsanlagen für Pflanzen und Bewässerungsanlage
EP4643635A1 (fr) * 2024-05-03 2025-11-05 Soil Scout Oy Méthode pour indiquer la sur-irrigation du sol, capteur de surveillance du sol enterrable et méthodes d'étalonnage correspondantes
CN119720357B (zh) * 2024-12-13 2026-04-07 湖州鑫润田新材料科技有限责任公司 基于大数据的人工草坪植草工艺参数调控系统及方法

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106161489A (zh) * 2015-01-29 2016-11-23 苏州宝时得电动工具有限公司 电动工具的数据传输系统
US10728336B2 (en) 2016-03-04 2020-07-28 Sabrina Akhtar Integrated IoT (Internet of Things) system solution for smart agriculture management
CN111372444B (zh) 2017-12-01 2022-03-08 索尼公司 信息处理装置、信息处理方法以及植被管理系统
CN110991944B (zh) * 2019-12-31 2023-04-18 周浩 一种区域化草坪维护管理系统及方法

Also Published As

Publication number Publication date
WO2023031252A2 (fr) 2023-03-09
WO2023031252A3 (fr) 2023-04-27
DE102021122711A1 (de) 2023-03-02

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