Patent Application
20240130265
The present disclosure generally relates to farming and in particular to a control arrangement for controlling operation of mobile agricultural devices in a livestock area. The disclosure also relates to a corresponding method and to a computer program for performing the method.
In order to save time and effort for farmers, autonomous agricultural equipment is commonly used to take care of different tasks that needs to be performed in a livestock area. For example, autonomous agricultural robots may be programmed to autonomously perform tasks like cleaning, delivering feed at a feed table or pushing and mixing feed that has been spread out.
Even though many tasks are performed by robots, livestock management is still a complicated task, as animal behaviour is not always foreseeable. To facilitate livestock management different systems have been proposed. For example, EP2955998A1 proposes a method and system for localising and displaying positions of animals and autonomously mobile objects, which helps a user in managing an animal housing and the autonomously mobile objects therein.
In addition, solutions have been proposed which mitigate risk of accidents when operating autonomous agricultural equipment. For example, WO2018122199 proposes a system that triggers an accident-avoidance measure when a distance between a geographical position of a locational device and an agricultural structure is smaller than a threshold limit.
Although systems like the ones presented above facilitate livestock management, it would still be desired to further enhance livestock management.
It is an object of the disclosure to alleviate at least some of the drawbacks with the prior art. Thus, it is an object to provide livestock management solutions that are even more efficient and safe. The techniques proposed herein achieves these objects by taking an automatic livestock management to a further level by using positioning information provided by a real-time location system.
According to a first aspect, the disclosure relates to a control arrangement configured to obtain from the real-time location system, positions of individual animals and of individual mobile agricultural devices located in the livestock area and to automatically control operation of one or more of the mobile agricultural devices, based on the obtained positions of the individual mobile agricultural devices and of the individual animals. Thereby, mobile agricultural devices can be operated optimally and safely with regard to the positions of the animals (and staff). The control arrangement is hereby preferably configured to automatically control the operation of a plurality of mobile agricultural devices, based on the obtained positions of the individual mobile agricultural devices and of the individual animals. An enhanced operational efficiency or optimal performance and safety in the automatic control of several mobile agricultural devices is thereby achieved on the basis of the obtained positions on both the mobile agricultural devices and the animals. The control arrangement is typically provided by a (central) control unit, but the control arrangement may also be distributed among several units, such as a control arrangement further including a livestock management server, control circuitry located on the mobile agricultural devices and/or control circuitry of user devices. Hence, the control arrangement should be seen as a functional control unit that may be included in one control unit or distributed in several units.
In an embodiment, the control arrangement is configured to determine, based on the obtained positions of the individual animals and/or individual mobile agricultural devices, a need to operate the mobile agricultural devices at certain times and/or in certain places in the livestock area to control the operation in accordance with the determined need. Thereby, agricultural tasks can be automatically performed when and where it is needed as it is based on where the animals and/or the agricultural devices are located.
In a further embodiment, the control arrangement is configured to determine based on the obtained positions of the individual animals and/or individual mobile agricultural devices, appropriate times and/or places when the one or more individual mobile agricultural devices can operate safely and/or undisturbed in the livestock area and to control the operation in accordance with the appropriate times and/or places. Thereby, agricultural tasks can be performed uninterruptedly without risking safety or disturbing animals.
In yet a further embodiment, the control arrangement is configured to select one or more agricultural mobile devices for performing a certain task based on the obtained positions of the one or more individual mobile agricultural devices and/or of the individual animals. Thereby, the agricultural mobile devices that is most suitably positioned is used to perform the task.
In some embodiments, the control arrangement is configured to calculate, based on the obtained positions of individual animals, a density of animals in a sub-area of the livestock area and to control the operation of the one or more of the mobile agricultural devices based on the calculated density. By considering animal density the efficiency and safety in performing tasks (such as feeding or cleaning tasks) is further improved, since the density (number) of animals in the sub-area typically indicates an increased need for a specific task in that sub-area. Animal density can hereby be used to determine when and/or how often the task is executed by the mobile agricultural device in the sub-area.
In some embodiments, the control arrangement is configured to control the operation of the one or more of the mobile agricultural devices based one or more relative distances between the one or more individual mobile agricultural devices and of the individual animals. By considering relative distances the efficiency and safety is further improved, since the path and/or speed of the mobile agricultural device can be controlled in relation to its distance to the animal(s).
In some embodiments, the control arrangement is configured to store the obtained positions of the individual mobile agricultural devices and/or animals in a data storage and to control the operation based on historical positions of the individual mobile agricultural devices and/or individual animals. Thereby, both real-time and historical positions may be utilised, whereby efficiency and safety can be further enhanced.
In some embodiments, the control arrangement is configured to determine a schedule or speed for operating the mobile agricultural devices based on the obtained positions of the individual mobile agricultural devices and/or animals and to control the operation based on the determined schedule and/or speed. Thereby, operation can efficiently be scheduled/adapted to achieve further efficiency and security.
In some embodiments, the control arrangement is configured to calculate zones and/or paths for operating the mobile agricultural devices based on the obtained positions of the individual mobile agricultural devices and/or animals and to control the operation based on the calculated zones and/or paths. Thereby, operation can efficiently be performed in the calculated (suitable) zones and/or paths for further efficiency and safety in the operation of the mobile agricultural devices.
In some embodiments, the calculated zones comprise temporarily unallowed zones where one or more individual mobile agricultural devices are temporarily unallowed to drive and/or allowed zones. By dynamically creating and/or adjusting virtual gates into or out of zones and tracks, efficiency and security can be improved.
In some embodiments, the control arrangement is configured to obtain information indicating whether passages in the livestock area are free or blocked and wherein the control arrangement is configured to control the operation based on whether the passages are free or blocked. Thereby, the operation of the mobile agricultural devices can be adapted to achieve further efficiency.
In some embodiments, the control arrangement is configured to assign tasks to humans and to provide information about assigned tasks via a user interface. In this way, tasks that cannot be automatically performed by the mobile agricultural devices can also be automatically assigned to a human.
In some embodiments, the control arrangement is configured to obtain, from the RTLS, positions of individual humans in the livestock area and to control the operation based on the obtained positions of the individual humans. Thereby, the operation of the mobile agricultural devices is based on the positions of humans in the livestock area for improved safety and tasks can be assigned/performed in a more efficient way.
In some embodiments, the control arrangement is configured to obtain information about tasks performed by individual humans and to evaluate execution of the tasks based on positions of the individual humans. Thereby, execution of tasks performed by humans can be verified and evaluated.
In some embodiments, the control arrangement is configured to obtain information about tasks performed by the one or more mobile agricultural device and to evaluate execution of the tasks based on the obtained positions of the one or more individual mobile agricultural devices. Thereby, execution of tasks performed by mobile agricultural device can be verified and evaluated.
In some embodiments, the control arrangement is configured to obtain information about expected movement of the mobile agricultural devices and/or the individual humans while performing the tasks and to evaluate the tasks by comparing the obtained positions of the one or more individual mobile agricultural devices and/or of the individual humans with the expected movement. In this way, execution of tasks performed by mobile agricultural device or human can be verified in a simple way.
According to a second aspect, the disclosure relates to a method, for controlling operation of mobile agricultural devices in a livestock area, wherein a real-time location system, RTLS, is arranged in the livestock area to track locations of objects located in the livestock area in real-time. The method comprises obtaining, from the RTLS, positions of the individual animals and of the individual mobile agricultural devices in the livestock area and automatically controlling operation of one or more of the mobile agricultural devices, based on the obtained positions of the one or more individual mobile agricultural devices and of the individual animals.
In some embodiments, the method comprises storing the determined one or more positions of the individual mobile agricultural devices in a data storage.
In some embodiments, the method comprises selecting one or more agricultural mobile devices for performing a certain task based on the obtained positions of the one or more individual mobile agricultural devices and/or of the individual animals.
According to a third aspect, the disclosure relates to a computer program comprising instructions which, when the program is executed by a computer, cause the computer to carry out the method according to the first aspect.
According to a fourth aspect, the disclosure relates to a computer-readable medium comprising instructions which, when executed by a computer, cause the computer to carry out the method according to the first aspect.
According to a fifth aspect, the disclosure relates to a livestock management system comprising an RTLS configured to be arranged in a livestock area to track locations of objects located in the livestock area in real-time and the control arrangement according to the first aspect.
As livestock systems (for example for dairy, beef, sheep and pigs) become more intensive, producers typically need to manage livestock on a larger scale, while labour availability, skill and resources are often limited. For this purpose, many farms use Real-Time Location Systems, RTLS, for individually identifying and tracking the movements of tagged animals in three dimensions within a monitoring zone.
This disclosure is based on the insight that data provided by a RTLS may also be used to improve performance and add functionality to existing products. In other words, data provided by a RTLS may be used to enhance livestock management. For example, information provided by the RTLS may be used to monitor and guide a manure robot or a feed pusher. It is also possible to combine information from different equipment (e.g. information from feed or manure robots in combination). In other words, this disclosure proposes a high-level system for livestock management that uses data provided by the RTLS for monitoring and decision making.
The RTLS also comprises reader antennas/readers 54 that receive wireless signals from these tags 51, 51′, 51″, 51′″ to determine their locations. The wireless communication includes, but is not limited to, a cellular radio, a WiFi radio, a Bluetooth radio, a Bluetooth low energy (BLE) radio, UltraWideBand (UWB) radio or any other appropriate radio frequency communication protocol. The particular number and placement of the readers 54 will depend on the size and shape of a tracking zone 53 of the livestock area/farm being monitored.
In some embodiments the tags 51, 51′, 51″, 51′″ also comprise orientation sensors configured to generate data indicative of the orientation of the sensor, such as a three-axis accelerometer assembly or a gyro assembly. The tags 51, 51′, 51″, 51′″ may also include other sensors or components, such as object monitoring sensors. The object monitoring sensors may comprise a thermometer, a heart rate monitor, a vibration sensor, a camera, a microphone, or any other appropriate device.
When the RTLS 50 is in use, the location of each tag 51, 51′, 51″, 51′″ is tracked in real-time within the tracking zone 53 using multi-lateration techniques known in the art, for example using Time Difference of Arrival (TDOA) and Received Signal Strength Indicator (RSSI) techniques. To this end, data from the readers 54 is supplied to a control system 52 that determines, in real-time basis, the instantaneous position of each tag 51, 51′, 51″, 51′″ in the tracking zone 53. The control system 52 may be implemented as a computer-based system that is capable of executing computer applications (for example software programs). An exemplary application of the control system 52 includes a real-time location function, configured to determine a two- or three-dimensional position of the tag 51, 51′, 51″, 51′″ within a tracking zone 53 (e.g. corresponding to the livestock area 30). The control system 52 may use triangulation of data provided by three or more readers 54 to determine the location of the tags 51, 51′, 51″, 51′″.
In some embodiments, the control system 52 is configured to determine a movement of the tags 51, 51′, 51″, 51′″ including for example direction of movement and amount of movement. In some embodiments, the control system 52 is configured to determine an orientation of the tag 51, 51′, 51″, 51′″. The control system 52 can also be configured to discriminate between different activities of an animal 10 wearing the tag 51 based upon the location, movement and orientation of the animal's tag within the monitoring zone. As an example, different activities may be determined, such as whether the animal is sleeping, eating, resting, standing or walking. The monitoring function, any other applications and an operating system executed by the control system 52 may be stored on a non-transitory computer readable medium, such as a memory.
The control system 52 may also have one or more communications interfaces. The communications interfaces may include for example, a modem and/or a network interface card. The communications interfaces enable the control system 52 to send and receive data to and from other computing devices such as the proposed control arrangement 100 (see
This disclosure proposes using information, of real-time positions, provided by an RTLS for livestock management.
For better understanding of the proposed control arrangement, one of the mobile agricultural devices 20 i.e. the feed pusher 20 (b) will be described in further detail. The illustrated feed pusher 20 (b) comprises a feed pushing and remixing mechanism 23 configured to push and remix feed at the feed table 32 in the livestock area. In the illustrated example the feed pushing and remixing mechanism 23 comprises a rotating auger. The rotating auger lifts, mixes, and aerates the feed while pushing/repositioning feed closer to the feeding fence 33 (
In addition to the feed pushing and remixing mechanism 23, the feed pusher 20 (b) comprises a propulsion device 21, a power storage 22 and control circuitry 24. It must be appreciated that the autonomous feed pusher 20 (b) also comprises further components not illustrated in
The propulsion device 21 is configured to propel the autonomous feed pusher 20 (b). More specifically, the propulsion device 21 is configured to convert energy provided by the power storage 22 into mechanical force. The propulsion device 21 is for example an electric motor. The power storage 22 is configured to supply energy to the propulsion device 21. The power storage 22 is for example a battery.
The power storage 22 is typically charged by a docking station (not shown) where the autonomous feed pusher 20 (b) may be parked between the feeding sessions.
The control circuit 24 is configured to autonomously operate the autonomous feed pusher 20 (b) along, around and/or at one or several feeding place(s). This typically involves propelling, braking and steering the autonomous feed pusher 20 (b). The control circuitry 24 may also be configured to control the feed pushing and remixing mechanism 23. For example, the feed pushing and remixing mechanism 23 is activated or inactivated. The control arrangement also involves tracking the position of the autonomous feed pusher 20 (b) using RTLS. The position may also be tracked using calculations in combination with data from different sensors such as optical sensors, wireless sensors etc. The control arrangement is hereby using the RTLS and preferably also sensors in the control circuitry 24 to detect obstacles (for example other mobile agricultural devices, humans or animals) in the route and to control the autonomous feed pusher 20 (b) to avoid such obstacles. In particular the control circuitry 24 is configured to control the propulsion device 21 to propel the autonomous feed pusher 20 (b), wherein the illustrated control circuitry 24 also comprises a communication interface. The communication interface is configured for communication of signals and/or data between the control circuitry 24 and a remote device of the control arrangement, such as the livestock management server 4, using any type of suitable protocol e.g. Bluetooth, IEEE 802.11 or any 3GPP protocol. The control circuitry 24 thereby receives control data from the livestock management server 4, which controls the operation of the autonomous feed pusher 20 (b) based on the positional data. Thus, some or all of the operation of the autonomous feed pusher 20 (b) may be remotely controlled by a remotely or locally arranged livestock management server 4.
Other mobile agricultural devices 20 typically operate in a similar manner. However, instead of a feed pushing and remixing mechanism 23 they comprise mechanisms or tools for performing other tasks. For example, a feed wagon 20 (a) comprises a feed delivery mechanism configured to deliver feed at a feed table and a cleaning robot 20 (c) comprises a cleaning mechanism, such as a manure scraper or a brush.
The livestock management server 4 is configured as a control unit configured to control operation in the livestock area 30. The livestock management server 4 is configured to communicate with the mobile agricultural devices 20 and with the RTLS 50. In some embodiments the RTLS 50 and the livestock management server 4 are integrated. Alternatively, they are configured to communicate using any suitable protocol such as Ethernet or IEEE 802.1.
The livestock management server 4 is configured to monitor the animals 10 in the livestock area 30. The livestock management server 4 is also configured to monitor and control a plurality of mobile agricultural devices 20. The livestock management server 4 is for example configured to determine tasks that need to be performed and to instruct the mobile agricultural devices 20 to perform the tasks.
In some embodiments, the livestock management server 4 is configured to communicate with a user via a user device 5. The user may use the user device 5 to enter user input for use by the livestock management server 4. Information may also be provided to the user via the user device 5.
In the illustrated example, the user device 5 is a smartphone. In other embodiments the user device is a laptop, tablet or any other device. The user device 5 comprises control circuitry 55 and a display 501, here a touch display on which a graphical user interface is presented. In other embodiments the user device 5 may comprise other devices for receiving user input and providing information to a user, such as a display and buttons. In some embodiments, the user device 5 comprises a software application configured to perform parts of the method proposed herein.
The proposed control will now be described in further detail with reference to the flow charts of
The method of
The method may be implemented as a computer program comprising instructions which, when the program is executed by a computer (e.g. a processor in the control circuitry), cause the computer to carry out the method. According to some embodiments the computer program is stored in a computer-readable medium (e.g. a memory or a compact disc) that comprises instructions which, when executed by a computer, cause the computer to carry out the method.
When performing a task in the livestock area 30 the mobile agricultural device 20 is typically operated according to an operation plan. The operating plan comprises a task and trajectory. Thus, the trajectory defines a route or path which defines where the mobile agricultural device 20 should drive to perform the task and a corresponding velocity i.e. speed and travel direction. The control arrangement 100 is preferably configured to hereby provide a schedule that defines when and where the mobile agricultural devices 20 should start operating along a specific trajectory. As an alternative, sessions may be triggered for example by a user that wants to initiate a certain task, e.g. via the mobile device 5.
The proposed method relates to automatically controlling operation of one or more of the mobile agricultural devices 20. This may be done either before starting the task by determining (or updating) a trajectory or schedule. Alternatively, it may be done while performing the task, by modifying the trajectory. A combination is also possible as will be explained below.
The proposed method may be used with different types of mobile agricultural devices 20. For example, the method may be used with mobile agricultural devices configured to perform different cleaning activities (such as manure scraping or washing), deliver new feed and/or to push/rem ix feed that is already present on the feed table. In other words, the mobile agricultural device 20 can be a manure cleaning robot, an autonomous feed wagon/feed pusher or a similar autonomous mobile robot.
The first time a mobile agricultural device 20 is put into use in a livestock area 30 it may be programmed with an initial operation plan. Such an operation plan comprises a trajectory and possibly also a schedule. The trajectory and schedule can be pre-programmed by the manufacturer.
As mentioned above, the proposed method/control arrangement is based on the insight that data about how animals 10 and agricultural mobile devices 20 move within the livestock area 30 can be used to determine how and when to perform agricultural tasks. In other words, the method comprises obtaining 51, from the RTLS 50 positions of the individual animals 10 and of the individual mobile agricultural devices 20 in the livestock area 30. The positions received from the RTLS 50 are individual instantaneous positions of the individual animals 10 and of the individual mobile agricultural devices 20 at certain times. This information can be used to analyse how animals are moving in the livestock area 30 and consequently it also enables determining when and how different tasks need to and can be performed as will be further described below.
The RTLS 50 may also be configured to provide position information associated with stationary devices 70 that have moving parts, such as gates and bars. This information can be used to determine whether a gate or bar is open or closed, such that animals 10 or mobile agricultural devices 20 can pass through an opening blocked by the gate or bar. In other words, in some embodiments the obtaining 51 comprises obtaining 51A information indicating whether passages in the livestock area are free or blocked.
Additionally, the control arrangement 100 using the RTLS 50 may be configured to provide information about positions of humans, such as staff or visitors, in the livestock area. Hence, in some embodiments the obtaining S1 comprises obtaining S1B, from the RTLS 50, positions of the individual humans 40 in the livestock area.
Operation of one or more of the mobile agricultural devices 20 can be performed both based on real-time positions and on historical positions of objects in the livestock area 30. However, the RTLS 50 typically provides positions in real-time. To be able to analyse historical positions, data needs to be stored in a data storage 102 (
In some scenarios there may be several mobile agricultural devices 20 that can (i.e. are able to) perform a certain task. In such a situation one mobile agricultural device may be selected based on for example its current position. For example, the mobile agricultural device 20 that will have the shortest path to travel to perform the task is selected. In other words, in some embodiments the method comprises selecting S3 one or more agricultural devices 20 for performing a certain task based on the obtained positions of the one or more individual mobile agricultural devices and of the individual animals 10.
The method further comprises automatically controlling S4 operation of one or more of the mobile agricultural devices 20, based on the obtained positions of the one or more individual mobile agricultural devices 20 and of the individual animals 10. There are many different ways to control S4 operation based on RTLS data in order to improve efficiency and increase safety. A plurality of different possibilities that can be used in any combination will now be presented with reference to
There are two aspects of this, namely how to use the data and how to implement the control. How the positions retrieved from the RTLS 50 may be utilised in different ways to improve livestock management will first be explained.
One way to increase efficiency in livestock management is to use the obtained positions to determine when and where tasks need to be performed. For example, historical presence of many animals may indicate a need for cleaning. In other words, in some embodiments the controlling S4 operation comprises determining S4A based on the obtained positions of the individual animals 10 and/or individual mobile agricultural devices 20, a need to operate the mobile agricultural devices 20 at certain times and/or in certain places in the livestock area. For example, if more than a predefined number of animals 10 has been present in a certain sub-area or zone of the livestock area 30, then “need” to perform a task (e.g. cleaning) is triggered. Alternatively, if the density of animals 10 has exceeded a threshold for a certain time then “need” to perform the task is valid. In these embodiments the controlling S4 of the operation is then performed in accordance with the determined need.
Alternatively, positions of animals are used to prevent that the mobile agricultural device 20 collides with objects along its trajectory. Even if mobile agricultural devices 20 typically have a sensor-based security system that detects objects in its path, the tasks will of course be performed more efficiently if the mobile agricultural device 20 can perform its task with as few stops as possible (e.g. caused by an animal). Hence, information about when and where animals 10 generally reside can be used to determine when and where to perform sessions. This may also work as a redundant security system and may also reduce animal stress as mobile agricultural devices 20 can be operated at substantial distance from the animals 10. In other words, in some embodiments the controlling S4 operation comprises determining S4B based on the obtained positions of the individual animals 10 and/or individual mobile agricultural devices 20, appropriate times and/or places when the one or more individual mobile agricultural devices 20 can operate safely and/or undisturbed in the livestock area. In these embodiments the controlling S4 of the operation is performed in accordance with the determined appropriate times and/or places.
Density of animals in different sub-areas of the livestock area is one parameter that can be used to detect a need or appropriate times and/or places. The sub-areas may be predefined zones, such as alleys, rooms, feeding places etc. Alternatively, sub-areas may be dynamically determined to represent different densities of animals, i.e. a count of animals per area unit (e.g. no. animals per m2). In other words, in some embodiments the controlling S4 operation comprises calculating S4C, based on the obtained positions of individual animals, a density of animals 10 in a sub-area of the livestock area 30 and controlling the operation of the one or more of the mobile agricultural devices 20 based on the calculated density. For example, if a feed wagon 20 (a) is automatically operated, the system can increase the number of deliveries when many animals are present at a certain feeding place 32 and a feed pusher 20 (b) may in addition be controlled to pass more times at that particular feeding place 32. In this way (a large farm that has) several different feeding places 32 that are served by one feed wagon 20 (a) and one feed pusher (b), each feeding place 32 is automatically served differently depending on the number of animals 10 that are present at each feeding place 32 (e.g. in a zone associated with the feeding place 32). In this way the system can be controlled to automatically adapt (in real-time) to the number of animals 10 present in the various sub-areas.
If automatic cleaning is used in the livestock area 30, the fact that there are right now (real-time data) relatively few animals 10 in a certain sub-area (i.e. density below a threshold) may trigger a cleaning robot 20 (c) to drive through that area, as it is typically more efficient and safer to clean with few animals 10 around. Historical data on the animals 10 is hereby also beneficially used. For example, that many animals have recently been in a certain sub-area and that it is therefore likely to be dirty.
The data form the RTL 50 may also, as mentioned above, be used to avoid collisions. In these embodiments, relative distances between animals and mobile agricultural devices 20 can be monitored and analysed. In some embodiments relative distances are analysed in real time. Hence, a mobile agricultural device 20 heading towards a group of animals may be automatically reprogrammed to take another route, if possible. Alternatively, a trajectory that is operated according to a schedule may be modified if an analysis of relative distance reveals that during previous sessions the mobile agricultural devices 20 drove close to many animals and maybe even had to stop and bypass animals 10. Stated differently, in some embodiments the operating comprises controlling the operation of the one or more of the mobile agricultural devices 20 based on one or more relative distances between the one or more individual mobile agricultural devices 20 and of the individual animals 10.
If the RTLS 50 is configured to provide data about stationary devices that may potentially block passages in the livestock area, then such information is of course useful when operating the mobile agricultural devices 20. In other words, in some embodiments the method comprises controlling the operation based on whether the passages are free or blocked.
If the RTLS 50 is configured to provide positions of individual humans 40 the controlling S4 operation may also be based on the obtained positions of the individual humans 40, as will be further explained below. For example, mobile agricultural devices 20 are controlled to be operated where there are few or no people present.
There are many different ways to implement the actual control (i.e. adjusting the driving) of the mobile agricultural device 20 based on positions in order to improve efficiency and increase safety. One way to do this is to calculate or modify a trajectory of a mobile agricultural device 20 based on the animals' (or staff) positions. Stated differently, the positions obtained from the RTLS 50 are used to determine where the mobile agricultural device 20 shall drive. In other words, in some embodiments the controlling S4 operation comprises calculating S4D zones and/or paths for operating the mobile agricultural devices 20 based on the obtained positions of the individual mobile agricultural devices 20 and/or animals 10 and controlling operation of one or more of the mobile agricultural devices 20 based on the calculated zones and/or paths. For example, forbidden areas may be dynamically created in real time. A forbidden area may be a place where there are many animals, where a building work is performed, where there are obstacles, where gates are closed, or where humans are temporarily located. For example, when a gate is closed, an area behind the gate will be changed to “unallowed” and the mobile agricultural vehicle 20 will not try to drive there. This may trigger paths to be changed to avoid this area. In other words, in some embodiments, the calculated zones comprise temporarily unallowed zones where one or more individual mobile agricultural devices 20 are temporarily unallowed to drive and/or allowed zones. The zones may constitute virtual fences for mobile agricultural devices 20. There may be different zones at different times. This would work similarly as a wire in the lawn defining an area where a mower robot lawn shall operate.
Another way to perform the actual controlling S4 is to determine or modify a schedule or speed of the mobile agricultural device 20 based on the obtained positions. For example, if the positions obtained from the RTLS 50 reveals that many animals 10 have resided in a certain sub-area, a new cleaning or feed distribution session may be triggered to ensure that the sub-area is clean or that there is enough feed. Alternatively, a schedule may be changed to clean this sub-area more often. Alternatively, if the positions obtained from the RTLS 50 reveals that many animals 10 are present in a certain sub-area, then the schedule may be changed to clean this sub-area at a later point in time in order to avoid accidents. Also the speed of the mobile agricultural device 20 may be adapted such that it drives faster if the density of animals 10 is low, e.g. below a certain threshold. Alternatively, speed may be adjusted dynamically based on animal's positions in real-time. In this way, accidents are mitigated, and the animals will typically be less stressed. Stated differently, in some embodiments the controlling S4 operation comprises determining S4E a schedule or speed for operating the mobile agricultural devices 20 based on the obtained positions of the individual mobile agricultural devices 20 and/or animals 10 and controlling operation of one or more of the mobile agricultural devices 20 based on the determined schedule and/or speed.
Now turning back to
The positions obtained from the RTLS 50 may also be used to evaluate tasks performed by the mobile agricultural device 20 and/or by humans 40. In some embodiments the method comprises obtaining S6A information about tasks performed by individual humans 40 and evaluating execution of the tasks based on positions of the individual humans. In some embodiments the method comprises obtaining S6B information about one or more tasks performed by one or more of the mobile agricultural devices 20 and evaluating execution of the tasks based on the obtained positions of the one or more individual mobile agricultural devices 20. Each task is typically associated by a route that the mobile agricultural device 20 or human has to travel (e.g. drive or walk) to perform the task. When a human 40 has performed a task this is typically manually verified by the user verifying the completion of the task via a user interface e.g. in the same user device 5 that was used to assign the task. A mobile agricultural device 20 may on the other hand be prevented from performing a task due to e.g. lack of power, obstacles etc. Hence, sometimes additional verification is desirable. For example, it is possible to verify that the feeding wagon 20 (a) has driven to the feeding place 32.
By analysing the movement of the mobile agricultural device 20 and/or human it is possible to get an indication about whether the task has been performed or not. Stated differently, the method comprises the step of obtaining information about expected movement of the mobile agricultural devices 20 and/or the individual humans 40 while performing the tasks and an evaluation of the tasks by comparing the obtained positions of the one or more individual mobile agricultural devices 20 and/or of the individual humans with the expected movement.
The disclosure also relates to a corresponding control arrangement 100 configured to control operation of mobile agricultural devices 20 in a livestock area 30, such as the livestock area of
The control arrangement 100 is herein described with reference to the livestock management server 4. However, it must be appreciated that the control circuitry may alternatively be implemented, at least partly, outside the livestock management server 4. For example, the control arrangement 100 is distributed among several units as illustrated in
The control arrangement (unit) 100, or more specifically the processor 101 of the control arrangement (unit) 100, is configured to cause the control arrangement (unit) 100 to perform all aspects of the method described in
More specifically the control arrangement 100 is configured to obtain from the real-time location system 50, positions of individual animals 10 and of individual mobile agricultural devices 20 located in the livestock area 30 and to automatically control operation of one or more of the mobile agricultural devices 20, based on the obtained positions of the one or more individual mobile agricultural devices 20 and of the individual animals 10.
In the shown embodiment, the control arrangement 100 is configured to determine, based on the obtained positions of the individual animals 10 and/or individual mobile agricultural devices 20, a need to operate the mobile agricultural devices 20 at certain times and/or in certain places in the livestock area to control the operation in accordance with the determined need.
Furthermore, the control arrangement is hereby configured to determine based on the obtained positions of the individual animals 10 and/or individual mobile agricultural devices 20, appropriate times and/or places when the one or more individual mobile agricultural devices 20 can operate safely and/or undisturbed in the livestock area and to control the operation in accordance with the appropriate times and/or places.
The control arrangement 100 of the embodiment is also configured to select one or more agricultural devices 20 for performing a certain task based on the obtained positions of the one or more individual mobile agricultural devices 20 and/or of the individual animals 10.
In the embodiment, the control arrangement 100 is furthermore configured to calculate, based on the obtained positions of individual animals, a density of animals 10 in a sub-area of the livestock area 30 and to control the operation of the one or more of the mobile agricultural devices 20 based on the calculated density.
In some embodiments, the control arrangement is configured to control the operation of the one or more of the mobile agricultural devices 20 based on one or more relative distances between the one or more individual mobile agricultural devices 20 and of the individual animals 10.
In the detailed embodiment, the control arrangement is configured to store the obtained positions of the individual mobile agricultural devices 20 and/or animals in a data storage and to control the operation based on historical positions of the individual mobile agricultural devices 20 and/or individual animals 10.
In the embodiment, the control arrangement 100 is further configured to determine a schedule or speed for operating the mobile agricultural devices 20 based on the obtained positions of the individual mobile agricultural devices 20 and/or animals and to control the operation based on the determined schedule and/or speed.
In some embodiments, the control arrangement is configured to calculate zones and/or paths for operating the mobile agricultural devices 20 based on the obtained positions of the individual mobile agricultural devices 20 and/or animals 10 and to control the operation based on the calculated zones and/or paths. In some embodiments, the calculated zones comprise temporarily unallowed zones where one or more individual mobile agricultural devices 20 are temporarily unallowed to drive and/or allowed zones.
In some embodiments, the control arrangement is configured to obtain information indicating whether passages in the livestock area are free or blocked and wherein the control arrangement is configured to control the operation based on whether the passages are free or blocked.
In some embodiments, the control arrangement is configured to assign tasks to humans and to provide information about assigned tasks via a user interface.
In some embodiments, the control arrangement is configured to obtain, from the RTLS 50, positions of the individual humans 40 in the livestock area and to control the operation based on the obtained positions of the individual humans 40.
In some embodiments, in the control arrangement is configured to obtain information about tasks performed by individual humans 40 and to evaluate execution of the tasks based on positions of the individual humans.
In some embodiments, the control arrangement is configured to obtain information about tasks performed by the one or more mobile agricultural device 20 and to evaluate execution of the tasks based on the obtained positions of the one or more individual mobile agricultural devices 20.
In some embodiments, the control arrangement is configured to obtain information about expected movement of the mobile agricultural devices 20 and/or the individual humans 40 while performing the tasks and to evaluate the tasks by comparing the obtained positions of the one or more individual mobile agricultural devices 20 and/or of the individual humans with the expected movement.
The terminology used in the description of the embodiments as illustrated in the accompanying drawings is not intended to be limiting of the described method; control arrangement 100 or computer program. Various changes, substitutions and/or alterations may be made, without departing from disclosure embodiments as defined by the appended claims.
The term “or” as used herein, is to be interpreted as a mathematical OR, i.e., as an inclusive disjunction; not as a mathematical exclusive OR (XOR), unless expressly stated otherwise. In addition, the singular forms “a”, “an” and “the” are to be interpreted as “at least one”, thus also possibly comprising a plurality of entities of the same kind, unless expressly stated otherwise. It will be further understood that the terms “includes”, “comprises”, “including” and/or “comprising”, specifies the presence of stated features, actions, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, actions, integers, steps, operations, elements, components, and/or groups thereof. A single unit such as e.g. a processor may fulfil the functions of several items recited in the claims.
| Number | Date | Country | Kind |
|---|---|---|---|
| 2150177-0 | Feb 2021 | SE | national |
| Filing Document | Filing Date | Country | Kind |
|---|---|---|---|
| PCT/SE2022/050147 | 2/11/2022 | WO |
