CN113748826A - Autonomous working apparatus and autonomous working system - Google Patents

Autonomous working apparatus and autonomous working system Download PDF

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CN113748826A
CN113748826A CN202010484349.2A CN202010484349A CN113748826A CN 113748826 A CN113748826 A CN 113748826A CN 202010484349 A CN202010484349 A CN 202010484349A CN 113748826 A CN113748826 A CN 113748826A
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signal
boundary
flag
norm
pulse
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CN113748826B (en
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周昶
崔江伟
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Shanghai Shanke Robot Co ltd
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Shanghai Shanke Robot Co ltd
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    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01DHARVESTING; MOWING
    • A01D34/00Mowers; Mowing apparatus of harvesters
    • A01D34/006Control or measuring arrangements
    • A01D34/008Control or measuring arrangements for automated or remotely controlled operation
    • AHUMAN NECESSITIES
    • A47FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47LDOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
    • A47L11/00Machines for cleaning floors, carpets, furniture, walls, or wall coverings
    • A47L11/24Floor-sweeping machines, motor-driven
    • AHUMAN NECESSITIES
    • A47FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47LDOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
    • A47L11/00Machines for cleaning floors, carpets, furniture, walls, or wall coverings
    • A47L11/28Floor-scrubbing machines, motor-driven
    • AHUMAN NECESSITIES
    • A47FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47LDOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
    • A47L11/00Machines for cleaning floors, carpets, furniture, walls, or wall coverings
    • A47L11/40Parts or details of machines not provided for in groups A47L11/02 - A47L11/38, or not restricted to one of these groups, e.g. handles, arrangements of switches, skirts, buffers, levers
    • AHUMAN NECESSITIES
    • A47FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47LDOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
    • A47L11/00Machines for cleaning floors, carpets, furniture, walls, or wall coverings
    • A47L11/40Parts or details of machines not provided for in groups A47L11/02 - A47L11/38, or not restricted to one of these groups, e.g. handles, arrangements of switches, skirts, buffers, levers
    • A47L11/4011Regulation of the cleaning machine by electric means; Control systems and remote control systems therefor
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J11/00Manipulators not otherwise provided for
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J9/00Programme-controlled manipulators
    • B25J9/16Programme controls
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J9/00Programme-controlled manipulators
    • B25J9/16Programme controls
    • B25J9/1694Programme controls characterised by use of sensors other than normal servo-feedback from position, speed or acceleration sensors, perception control, multi-sensor controlled systems, sensor fusion

Abstract

The invention provides an autonomous operating device and an autonomous operating system. The autonomous operating device includes: a sensor configured to sense a boundary signal for the autonomous working apparatus to generate a sensing signal; and a controller configured with a status flag that may be used to indicate that the autonomous working device is in one of a sampling state and a response state, the controller configured to determine whether an intensity of a rising edge of a pulse signal in the sense signal is greater than or equal to a predetermined threshold; setting a status flag of the controller to a sampling state if the strength of the rising edge of the pulse signal in the sensing signal is greater than or equal to the predetermined threshold; and setting the state flag of the controller to a response state if the duration of the state flag of the controller in the sampling state reaches a preset time or the intensity of the falling edge of the pulse signal is less than the predetermined threshold.

Description

Autonomous working apparatus and autonomous working system
Technical Field
The present invention relates to the field of automatic control, and more particularly, to an autonomous working apparatus and an autonomous working system including the same.
Background
Various autonomous working devices exist on the market today, such as robots for mowing, sweeping and mopping, etc. In the case of a mowing robot, a mowing robot in the mainstream generally performs mowing work in a predetermined operation area in a mode of walking along a random or regular path. The predetermined operating area is typically defined by a boundary. While the autonomous working device is working, its docking station (beacon) continuously emits a boundary signal to the boundary, which generates an electromagnetic field around the boundary, and the autonomous working device captures the boundary signal by sensing the electromagnetic field to determine that it is located within its predetermined operating area.
However, in an actual working environment, there are likely to be other signal sources around the autonomous working device, which may interfere with the autonomous working device so that it cannot correctly recognize the boundary signal corresponding thereto, which further results in the autonomous working device being inoperable or lost.
In this regard, in some prior art schemes, it is proposed to make boundary signals of a plurality of adjacent autonomous working apparatuses respectively at different operating frequencies by cooperative management, set a specific time interval for the boundary signals of the autonomous working apparatuses, set a specific pulse interval for pulses included in the boundary signals, and the like, so that the autonomous working apparatuses can recognize the boundary signals specific thereto.
However, the above-described prior art solutions still have respective disadvantages, such as the need for a controller capable of overriding adjacent autonomous operating systems in one of the above-described solutions to cooperatively manage the autonomous operating devices, which may not work well in many cases, such as when adjacent autonomous operating devices are from different manufacturers or different models of the same manufacturer.
Disclosure of Invention
In view of at least one of the above problems, the present invention provides an autonomous working apparatus. The autonomous operating device includes: a sensor configured to sense a boundary signal for the autonomous working apparatus to generate a sensing signal; and a controller configured with a status flag that may be used to indicate that the autonomous working device is in one of a sampling state and a response state, the controller configured to determine whether an intensity of a rising edge of a pulse signal in the sense signal is greater than or equal to a predetermined threshold; setting a status flag of the controller to a sampling state if the strength of the rising edge of the pulse signal in the sensing signal is greater than or equal to the predetermined threshold; and setting the state flag of the controller to a response state if the duration of the state flag of the controller in the sampling state reaches a preset time or the intensity of the falling edge of the pulse signal is less than the predetermined threshold. .
According to some aspects of the present invention, an autonomous operating system is provided. The autonomous operating system includes the autonomous operating device as described above and a beacon configured to transmit the boundary signal.
Drawings
FIG. 1 illustrates a schematic diagram of an autonomous operating system, according to an embodiment of the invention;
FIG. 2 illustrates a block diagram of a docking station of an autonomous operating system, according to an embodiment of the invention;
FIG. 3 shows a schematic diagram of a sequence of boundary signals according to an embodiment of the invention;
FIG. 4 shows a schematic diagram of a flag signal in a boundary signal according to an embodiment of the invention;
FIG. 5 shows a schematic diagram of a sequence of boundary signals according to another embodiment of the invention;
fig. 6 shows a schematic configuration diagram of an autonomous working apparatus according to an embodiment of the present invention;
FIG. 7 illustrates a timing diagram of a state of an autonomous working device according to some embodiments of the invention;
FIG. 8 illustrates a timing diagram of a state of an autonomous working device according to further embodiments of the present invention;
fig. 9 is a flowchart illustrating a method of identifying boundary signals by an autonomous working apparatus according to an embodiment of the present invention;
FIG. 10A is a schematic diagram illustrating an ideal sense signal in the presence of a neighboring autonomous operating system in the prior art;
FIG. 10B is a diagram illustrating actual sensing signals in the presence of a neighboring autonomous operating system in the prior art; and
fig. 10C shows an equivalent effect diagram of the actual sensing signal shown in fig. 10B.
Detailed Description
The embodiments of the present invention will be described in detail below with reference to the accompanying drawings in order to more clearly understand the objects, features and advantages of the present invention. It should be understood that the embodiments shown in the drawings are not intended to limit the scope of the present invention, but are merely intended to illustrate the spirit of the technical solution of the present invention.
In the following description, for the purposes of illustrating various disclosed embodiments, certain specific details are set forth in order to provide a thorough understanding of the various disclosed embodiments. One skilled in the relevant art will recognize, however, that the embodiments may be practiced without one or more of the specific details. In other instances, well-known devices, structures and techniques associated with this application may not be shown or described in detail to avoid unnecessarily obscuring the description of the embodiments.
Throughout the specification and claims, the word "comprise" and variations thereof, such as "comprises" and "comprising," are to be understood as an open, inclusive meaning, i.e., as being interpreted to mean "including, but not limited to," unless the context requires otherwise.
Reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. As used in this specification and the appended claims, the singular forms "a", "an", and "the" include plural referents unless the context clearly dictates otherwise. It should be noted that the term "or" is generally employed in its sense including "and/or" unless the context clearly dictates otherwise. Throughout the specification, the expressions "plural" and "plural" mean two or more in number unless otherwise specified.
FIG. 1 illustrates a schematic diagram of an autonomous operating system in accordance with an embodiment of the present invention. As shown in fig. 1, the autonomous working system includes an autonomous working apparatus 1 and a docking station 2, and the autonomous working apparatus 1 is normally initially located at the docking station 2 to perform operations such as positioning or charging.
The autonomous working device 1 is, in particular, a robot which can autonomously move within the preset working area 4 and perform a specific work, typically, an intelligent sweeper/cleaner which performs a cleaning work, or an intelligent mower which performs a mowing work, or the like. The present invention will be described in detail with reference to an intelligent lawn mower as an example. The autonomous working apparatus 1 can autonomously walk on the surface of the working area 4, and can autonomously perform mowing work on the ground particularly as an intelligent mower. The autonomous operating device 1 at least comprises a main body mechanism, a moving mechanism, a working mechanism, an energy module, a detection module, an interaction module, a control module and the like.
The main body mechanism generally includes a chassis and a housing, and the chassis is used for installing and accommodating functional mechanisms and functional modules such as a moving mechanism, a working mechanism, an energy module, a detection module, an interaction module, and a control module. The housing is typically configured to at least partially enclose the chassis, primarily to enhance the aesthetics and visibility of the autonomous working apparatus 1. In this embodiment, the housing is configured to translate and/or rotate relative to the chassis under an external force, and in cooperation with a suitable detection module, such as a hall sensor for example, can further function to sense an impact, a lift, etc.
The moving mechanism is configured to support the main body mechanism on the ground and drive the main body mechanism to move on the ground, and generally includes a wheel type moving mechanism, a crawler type or semi-crawler type moving mechanism, a walking type moving mechanism, and the like. In this embodiment, the moving mechanism is a wheeled moving mechanism comprising at least one driving wheel and at least one walking prime mover. The travel prime mover is preferably an electric motor, and in other embodiments may be an internal combustion engine or a machine that uses another type of energy source to generate power. In the present embodiment, it is preferable to provide a left driving wheel, a left traveling prime mover driving the left driving wheel, a right driving wheel, and a right traveling prime mover driving the right driving wheel. In the present embodiment, the straight travel of the autonomous working machine 1 is achieved by the equidirectional and constant-speed rotation of the left and right drive wheels, and the turning travel is achieved by the equidirectional differential or opposite-direction rotation of the left and right drive wheels. In other embodiments, the movement mechanism may further include a steering mechanism independent of the drive wheels and a steering prime mover independent of the walking prime mover. In the present embodiment, the moving mechanism further includes at least one driven wheel, typically configured as a universal wheel, the driving wheel and the driven wheel being located at the front and rear ends of the autonomous working apparatus 1, respectively.
The work mechanism is configured for performing a specific work task and includes a work piece and a work prime mover for driving the work piece in operation. Illustratively, for an intelligent sweeper/cleaner, the workpiece includes a roller brush, a dust collection pipe, a dust collection chamber, and the like; for intelligent lawn mowers, the working member includes a cutting blade or a cutter disc, and further includes other components for optimizing or adjusting the mowing effect, such as a height adjusting mechanism for adjusting the mowing height. The working prime mover is preferably an electric motor, and in other embodiments may be an internal combustion engine or a machine that uses another type of energy source to generate power. In other embodiments, the working prime mover and the walking prime mover are configured as the same prime mover.
The energy module is configured to provide energy for various operations of the autonomous working apparatus 1. In the present embodiment, the energy module includes a battery, preferably a rechargeable battery, and a charging connection structure, preferably a charging electrode, which may be exposed to the outside of the autonomous working apparatus 1.
The detection module is configured as at least one sensor sensing an environmental parameter of the autonomous working apparatus 1 or an operating parameter of itself. Typically, the detection module may comprise sensors associated with the definition of the work area 4, of various types, for example magnetic induction, impact, ultrasound, infrared, radio, etc., the type of sensor being adapted to the position and number of the corresponding signal generating means. The detection module may also include positioning navigation related sensors such as GPS positioning devices, laser positioning devices, electronic compasses, geomagnetic sensors, and the like. The detection module may also include sensors related to its own operational safety, such as obstacle sensors, lift sensors, battery pack temperature sensors, etc. The detection module may also include sensors associated with the external environment, such as an ambient temperature sensor, an ambient humidity sensor, an acceleration sensor, a light sensor, and the like.
The interactive module is configured at least for receiving control instruction information input by a user, emitting information requiring user perception, communicating with other systems or devices to transmit and receive information, and the like. In the present embodiment, the interactive module includes an input device provided on the autonomous working apparatus 1, for receiving control instruction information input by a user, typically, such as a control panel, an emergency stop key, and the like; the interactive module further comprises a display screen and/or a buzzer arranged on the autonomous operating device 1, and information is sensed by a user through light emission and/or sound production. In other embodiments, the interactive module further includes a communication module provided on the autonomous working apparatus 1 and a terminal apparatus independent from the autonomous working apparatus 1, such as a mobile phone, a computer, a web server, and the like, and control instruction information or other information of the user may be input on the terminal apparatus and reach the autonomous working apparatus 1 via the wired or wireless communication module.
The control module typically includes at least one processor and at least one non-volatile memory, in which a pre-written computer program or set of instructions is stored, according to which the processor controls the execution of movements, work, etc. of the autonomous working apparatus 1. Further, the control module is also capable of controlling and adjusting the respective behavior of the autonomous working apparatus 1, modifying data in the memory, and the like, according to the signal of the detection module and/or the user control instruction.
The boundary 3 is used to limit the working area 4 of the autonomous working machine 1, and generally comprises an outer boundary and an inner boundary. The autonomous working apparatus 1 is restricted to move and work within the outer boundary, outside the inner boundary, or between the outer boundary and the inner boundary. The boundary 3 may be solid, typically such as a wall, fence, railing, etc.; the boundary 3 may also be virtual, typically as emitted by boundary signal generating means, typically a virtual boundary signal, e.g. an electromagnetic signal emitted by a closed energized conductor, or an optical signal, an ultrasonic signal, etc. emitted by other devices, or a virtual boundary signal, e.g. a virtual boundary, set in an electronic map, illustratively formed by two-dimensional or three-dimensional coordinates, for an autonomous working device 1 provided with positioning means, e.g. a GPS, etc.
The docking station 2 is generally configured on the boundary 2 or in the vicinity of the boundary 3 for the autonomous working apparatus 1 to be docked, in particular to be able to supply energy to the autonomous working apparatus 1 docked at the docking station 2.
Fig. 2 shows a schematic structural diagram of a docking station 2 of the autonomous operating system according to the present invention. More specifically, fig. 2 shows a schematic view of the signal station 20 comprised by the docking station 2. The signal station 20 may feed the border 3 connected thereto, thereby generating an electromagnetic field around the border 3. Hereinafter, the terms "docking station" and "signaling station" may sometimes be used interchangeably without affecting the scope of the claimed invention. As shown in fig. 2, signal station 20 may include a signal generator 22 and a transmitter 24, where signal generator 22 is configured to generate a sequence of boundary signals for autonomous working apparatus 1, and transmitter 24 is configured to transmit the sequence of boundary signals to boundary 3 connected to signal station 20.
Fig. 3 shows a schematic diagram of a sequence of boundary signals 30 according to an embodiment of the invention. As shown in FIG. 3, the sequence of boundary signals is composed of a plurality of boundary signals 30 (boundary signals 30)1、302… …) in a pulse signal sequence. Each boundary signal 30 has a duration of a first period T _ all. Each boundary signal 30 may include a flag signal S _ flag (e.g., left in FIG. 3) that appears in sequenceAs indicated by the shaded boxes) and the body signal S _ norm (as indicated by the open and white boxes in fig. 3). The flag signal S _ flag comprises at least one first pulse 32 and the body signal S _ norm comprises at least one second pulse 34, wherein the duration of each second pulse 34 is a second period T _ norm. It should be noted that the duration of a pulse in this context refers to the time interval between two adjacent pulses, which is different from the pulse width of the pulse itself. For example, the duration of a first pulse 32 refers to the time interval between two first pulses 32, and the duration of a second pulse 34 refers to the time interval (i.e., the second period T _ norm) between one second pulse 34 and the previous pulse (which may be the last first pulse 32 or the previous second pulse 34).
For an autonomous operating system, two feature sets C are providedflagAnd CnormWherein the first feature set CflagA flag signal S _ flag for characterizing its boundary signal 30, a second set of features CnormThe body signal S norm, which is used to characterize its boundary signal 30. First feature set CflagIncluding at least one of pulse width, pulse strength, pulse direction, number of pulses, pulse coding rules, and time intervals between adjacent pulses. Second feature set CnormIncluding at least one of pulse width, pulse strength, pulse direction, number of pulses, pulse coding rules, and time intervals between adjacent pulses.
Flag signal S _ flag should be such that autonomous working apparatus 1 that receives boundary signal 30 can distinguish it from main signal S _ norm and possibly interfering signals, so first feature set CflagAnd a second feature set CnormThere should be at least one element of a different type or value.
In one example, a first set of features C can be madeflagAnd a second feature set CnormIs of a different type. For example, the first feature set CflagMay include two element types of pulse width and pulse intensity, and a second feature set CnormMay include the number and phase of pulsesThe time interval between adjacent pulses is two element types. As another example, the first feature set CflagMay include two element types of pulse width and pulse intensity, and a second feature set CnormFour element types of pulse width, pulse intensity, number of pulses, and time interval between adjacent pulses may be included.
In another example, the first set of features C can be madeflagAnd a second feature set CnormThe element types are the same and the values of the elements are different. For example, the first feature set CflagAnd a second feature set CnormBoth comprise two element types, pulse width and pulse intensity, wherein a first set of characteristics CflagIs different from the second feature set C in value of at least one of the pulse width and the pulse intensitynorm
Still further, a first feature set C may be providedflagThe values of the elements in (A) are greatly different from those in the second feature set CnormThe value of the corresponding element(s) in (b), for example, the former is 2 times or more the latter, so that it is easier to distinguish the two.
In one embodiment, as shown in fig. 3, the flag signal S _ flag includes at least two first pulses 32, and the at least two first pulses 32 have the same pulse width.
In another embodiment, as shown in fig. 4, the flag signal S _ flag may include at least two first pulses 32, and a pulse width of one of the first pulses 32 is greater than a pulse width of the other first pulse 32. Further, for ease of detection, the pulse width of one first pulse 32 is generally set to be much larger than the pulse width of another first pulse 32. For example, the pulse width of one of the first pulses 32 may be at least twice the pulse width of the other first pulse 32.
In one embodiment, the flag signal S _ flag may include at least three first pulses 32, and the time intervals between adjacent two first pulses 32 are the same.
In another embodiment, the flag signal S _ flag may include at least three first pulses 32, and the time interval between adjacent two first pulses 32 is different.
In some embodiments, the flag signal S _ flag has exactly the same characteristics for the boundary signals 30 in all first periods T _ all in a sequence of one boundary signal 30.
In some embodiments, the boundary signal 30 (e.g., the boundary signal 30) in two adjacent first periods T _ all in the sequence of one boundary signal 30 is used1、302) In other words, its body signal S norm may have a different second set of characteristics CnormThat is, at least one characteristic of the body signal S _ norm in the adjacent two first periods T _ all is different. As shown in FIG. 3, in one embodiment, boundary signal 301The time interval between the second pulses 34 of the body signal S _ norm is T _ norm1, the boundary signal 302The time interval between the second pulses 34 of the body signal S _ norm is T _ norm2, T _ norm1 not being equal to T _ norm 2.
In some embodiments, the second set of characteristics C of each boundary signal 30 in the sequence of boundary signalsnormMay be the same. In this case, however, time synchronization between the docking station 2 and the autonomous working apparatus 1 is required frequently.
To avoid situations where time synchronization is frequently required between the docking station 2 and the autonomous working apparatus 1, in some embodiments of the invention, the second feature set C of adjacent boundary signals 30 in the sequence of boundary signals may be setnormThe settings are different. For this purpose, predetermined rules may be set in the docking station 2 and the autonomous working apparatus 1, respectively, to indicate the second feature set of the main signal S _ norm and the cycle order (if necessary) in each boundary signal 30. To this end, as shown in fig. 2, the signalling station 20 may further comprise a memory 26 in which predetermined rules for the body signal S _ norm for indicating at least one characteristic of the body signal S _ norm of the boundary signal 30 in each first period T _ all are stored. For example, the sequence of the boundary signal 30 corresponds to a limited number of second feature sets CnormiIn this case, the predetermined rule may also indicate the second feature sets CnormiIs circulatedThe loop sequence. Table 1 lists one example of a predetermined rule.
TABLE 1 Preset rules
Figure BDA0002518567960000081
Figure BDA0002518567960000091
As shown in table 1, in a plurality of consecutive first periods T _ all, the body signal S _ norm of each boundary signal 30 may be as S _ norm1 —, respectively>S_norm2—>S_norm3—>S_norm1—>… …, wherein S _ norm1, S _ norm2 and S _ norm3 correspond to different second feature sets C, respectivelynorm1、Cnorm2And Cnorm3
In one embodiment, each second feature set CnormiThe predetermined rule may include a pulse intensity, a pulse width, a time interval between two adjacent second pulses 34 (i.e., the second period T _ norm), and the like of the second pulse 34, and may be such that at least one characteristic thereof (e.g., the pulse width or the second period T _ norm) is different. For example, in the example shown in fig. 3, two adjacent second pulses 34 have different second periods T _ norm1 and T _ norm2, respectively, therebetween. As another example, in the example shown in FIG. 5, two adjacent boundary signals 301、302The pulse width of the second pulse 34 of the body signal of (3) is different.
In some embodiments, each second feature set CnormiThe remainder T endi (shown in fig. 3) of the division of the first period T _ all by the second period T _ norm may also be included (i ═ 1, 2, 3). Since the first period T _ all is usually not divisible by the second period T _ norm, the remainder T _ endi may also serve as a distinguishing feature to assist in identifying the flag signal S _ flag of the next period T _ all.
In some embodiments, for better discrimination, the second periods T _ norm (i ═ 1, 2, 3) may also be set to be relatively prime to each other. More preferably, the second periods T _ norm (i ═ 1, 2, and 3) may be set to different prime numbers, respectively.
Transmitter 24 of signal station 20 continuously transmits the sequence of boundary signals 30 generated as described above to boundary 3 connected to signal station 20 to enable autonomous working apparatus 1 to capture the boundary signals.
Fig. 6 shows a schematic configuration diagram of the autonomous working apparatus 1 according to the embodiment of the present invention. As shown in fig. 1 and 6, the autonomous working apparatus 1 may include at least one sensor 10 and a controller 12, wherein the sensor 10 is configured to sense a boundary signal 30 for the autonomous working apparatus 1 to generate a sensing signal, and the controller 12 is configured to control the operation of the autonomous working apparatus 1 according to the sensing signal. Furthermore, the autonomous working apparatus 1 may further comprise a memory 14, which may be used to store predetermined rules as described above. As shown in fig. 1, at least one sensor 10 may be located in front of the autonomous working apparatus 1. Two sensors 10 are schematically shown in fig. 1, however, it will be appreciated by those skilled in the art that the autonomous working apparatus 1 may be provided with more or fewer sensors 10. Further, the position of the sensor 10 is not limited to the front as shown in the drawing, and may be located on both sides of the autonomous working apparatus 1 or the like.
The sampling of the boundary signal 30 by the autonomous working apparatus 1 comprises two phases, one being a pre-sampling phase, i.e. a phase of sampling the sequence of the boundary signal 30 to determine the set of basis features of the boundary signal 30 when the autonomous working apparatus 1 is located at a predetermined initial position, such as at the docking station 2, and the other being a sampling phase, i.e. a phase of analyzing the received signal to identify the boundary signal 30 corresponding to its docking station 2 when the autonomous working apparatus 1 is located at any position within or near the working area 4.
In some embodiments of the present invention, controller 12 is configured with a status flag that may be used to indicate that autonomous working apparatus 1 is in one of a sampling state and a response state. The sampling state and the response state of the autonomous working apparatus 1 alternate, and the autonomous working apparatus 1 can be in only one of the states at the same time. Here, the response state refers to a state in which the autonomous working apparatus 1 does not perform the signal sampling operation, and may also be referred to as a ready state. Fig. 7 shows a timing diagram of the state of the autonomous working apparatus 1 according to some embodiments of the present invention. In which the left-hand hatched box indicates that the autonomous operating device 1 is in a responsive state and the right-hand hatched box indicates that the autonomous operating device 1 is in a sampling state. It is assumed that the autonomous working apparatus 1 is in a response state in the initial state.
In one implementation, the status flag may include a flag bit that indicates a sampling status when set to a first value (e.g., 0) and a response status when set to a second value (e.g., 1).
In another implementation, the status flag may include two flag bits, wherein a first flag bit is used to indicate the sampling status (e.g., the first flag bit is set to 1) and a second flag bit is used to indicate the response status (e.g., the second flag bit is set to 1), i.e., the status flag 10 indicates the sampling status and the status flag 01 indicates the response status, or vice versa.
As shown in fig. 7, the controller 12 is configured to determine whether the intensity of the rising edge of the pulse signal in the sensing signal of the sensor 10 is greater than or equal to a predetermined threshold pwthIf the intensity is greater than or equal to a predetermined threshold pwthThe status flag of the controller 12 is set to the sampling state. In the sampling state, the controller 12 obtains the intensity greater than or equal to the predetermined threshold value pw in the pulse signal sensed by the sensor 10thAnd form an independent signal recording record 1.
When it is determined that the duration of the state flag of the controller 12 in the sampling state reaches the preset time t _ sa or the intensity of the falling edge of the pulse signal is less than the predetermined threshold pwthThe status flag of the controller 12 is set to the response state.
In one embodiment, the preset time t _ sa is set to be greater than or equal to the effective pulse width pw of the current pulse signalprst. For example, the preset time t _ sa may be greater than the effective pulse width pw of the current pulse signalprstLarger than a small predetermined value, e.g. the effective pulse width pw of the current pulse signalprst5% of the total. In this way, pre-sampling can be performedThe phase ensures that a complete pulse signal is acquired for subsequent valid signal analysis.
In another embodiment, for example, in the sampling phase of the autonomous working apparatus 1, the preset time t _ sa may be set to be greater than or equal to the pulse width pw of the body signal 34 of the boundary signal 30norm. For example, the preset time t _ sa may be greater than the pulse width pw of the body signal 34normGreater by a small predetermined value, e.g. pulse width pw of the body signal 34norm5% of the total. In this way, a complete pulse signal can be guaranteed to be acquired during the sampling phase. In this case, although a part of the effective subject signal may be omitted due to the presence of the interference signal, the interference signal can be further excluded.
In some embodiments, during the pre-sampling phase, the response state of the controller 12 is always off and the sampling state is always on, i.e., all of the pre-sampling period reaches the threshold pwthAre recorded in the same signal record 1.
In other embodiments of the present invention, controller 12 is configured with a status flag that may be used to indicate that autonomous working apparatus 1 is in one of an interval state, a sampling state, and a response state. The interval state, the sampling state, and the response state of the autonomous working apparatus 1 alternate, and the autonomous working apparatus 1 can be in only one of the states at the same time. Fig. 8 shows a timing diagram of a state of the autonomous working apparatus 1 according to another embodiment of the present invention. Where the grid-like boxes indicate that the autonomous operating device 1 is in the spaced state, the left-diagonal boxes indicate that the autonomous operating device 1 is in the responsive state, and the right-diagonal boxes indicate that the autonomous operating device 1 is in the sampling state. The duration of the interval state is denoted as interval time t _ intvl. The difference from the embodiment shown in fig. 7 is that when the duration of the state flag of the controller 12 in the sampling state reaches the preset time t _ sa, the state flag of the controller 12 is set to the interval state, and the state flag of the controller 12 is set to the response state after the interval time t _ intvl.
In one embodimentAccording to the second feature set C of the main signal S _ norm in the current periodnormTo determine the interval time t _ intvl. Specifically, the pulse width pw of the body signal S _ norm may be determined according tonormAnd a second period T _ norm to determine the interval time T _ intvl. For example, the interval time t _ intvl can be determined using the following equation (1):
t_intvl=T_norm-pwnorm-∈1-∈2, (1)
wherein the second period T _ norm is a preset value, the pulse width pw of the main signal S _ normnormMay be based on a second set of characteristics C of the subject signal S _ norm during the current periodnormTo determine that e 1 is a relative to pwnormVery small values (e.g.,. epsilon.1 ≦ 5% pwnorm) E 2 is a statistical value indicating a time difference between detection of the complete signal by the autonomous working apparatus 1 and recognition that the complete signal is the flag signal S _ flag.
In this case, the autonomous working apparatus 1 may enter the interval state after recognizing the flag signal S _ flag, and enter the response state after waiting the interval time t _ intvl to further reduce power consumption.
The signal sampling scheme of the autonomous working apparatus 1 described above in connection with fig. 7 and 8 may be used for the pre-sampling phase and the sampling phase. In the pre-sampling stage, when a signal is acquired, whether the signal is a flag signal S _ flag is judged, and other non-flag signals in the period are identified until two adjacent flag signals S _ flag are identified. In the sampling stage, it may be immediately determined whether the acquired signal is an effective signal according to the second feature set of the current period, or after a period of signal is accumulated, it may be sequentially determined whether each signal is an effective signal according to the second feature set of the current period, and the corresponding second feature set is changed according to the flag signal S _ flag and a predetermined rule in the memory 14.
Fig. 9 shows a flowchart of a method 900 of identifying the boundary signal 30 by the autonomous working apparatus 1 according to the embodiment of the present invention. Method 900 may be performed, for example, by controller 12 of autonomous working apparatus 1. Controller 12 may be implemented, for example, as a microprocessor that performs method 900 in accordance with a computer program stored in a memory of autonomous working apparatus 1. Alternatively, the controller 12 may be implemented as a hardware programmed circuit or chip (e.g., a Field Programmable Gate Array (FPGA), Application Specific Integrated Circuit (ASIC), etc.) that performs the method 900 in accordance with a computer program embedded therein.
First, in a pre-sampling phase, the autonomous working apparatus 1 pre-samples a sequence of the boundary signal 30 at a predetermined initial position to obtain a pre-sampled signal of the boundary signal 30 in step 910. Here, the controller 12 may receive, for example, a pre-sampled signal from the sensor 10 that is acquired by the sensor 10. As described previously, each boundary signal 30 has a duration of a first period T _ all and the boundary signal 30 includes a flag signal S _ flag and a body signal S _ norm. The length of the pre-sampled signal (pre-sampling duration) should be greater than or equal to 2 times the first period T _ all to ensure that at least one complete boundary signal 30 is acquired.
Here, the predetermined initial position is a position where the intensity of the boundary signal 30 is highest. In one implementation, the predetermined initial position is the position of the docking station 2 (i.e., the beacon 20) of the autonomous working device 1.
In some embodiments, the sensor 10 may acquire multiple pulse signals having approximately the same pulse width and frequency, in which case an appropriate signal may be selected from the multiple pulse signals as the pre-sampled signal. To this end, step 910 may further comprise a sub-step 912 (not shown in the figures) in which a plurality of candidate pre-sampled signals are obtained that pre-sample the sequence of boundary signals 30, the plurality of candidate pre-sampled signals comprising pulses having substantially the same pulse width and frequency; and a sub-step 914 (not shown in the figure) in which one candidate pre-sampled signal having the largest pulse intensity is selected from the plurality of candidate pre-sampled signals as the pre-sampled signal.
Next, at step 920, the controller 12 determines whether the pre-sampled signal satisfies a predetermined condition.
In one embodiment, the predetermined condition comprises a predetermined characteristic of a body signal of the pre-sampled signal. Specifically, the controller 12 identifies two from the pre-sampled signal based on the characteristics of the flag signal S _ flagA consecutive flag signal S _ flag. Next, the controller 12 extracts the body signal S _ norm from the two consecutive flag signals S _ flag. The controller 126 determines whether at least one second pulse 34 of the subject signal S norm complies with a plurality of second feature sets CnormiAt least one of (a). If at least one second pulse 34 of the subject signal S _ norm corresponds to a plurality of second feature sets CnormiThe controller 12 determines that the pre-sampled signal satisfies a predetermined condition. In other embodiments, the predetermined condition may also include other conditions, such as a characteristic of a flag signal of the pre-sampled signal, and the like.
Next, at step 930, in response to determining that the pre-sampled signal satisfies the predetermined condition, the controller 12 determines the set of basis features C for the boundary signal 30 based on the pre-sampled signalbase
As previously mentioned, depending on the pre-sampling duration, the obtained pre-sampled signal may contain a plurality of boundary signals 30 (e.g. a plurality of first periods T _ all of the pre-sampling duration). In this case, it should also be determined whether one body signal S _ norm or a plurality of body signals S _ norm is extracted from the pre-sampled signal in step 920. If it is determined that only one subject signal S _ norm is extracted from the pre-sampled signal, a second feature set C corresponding to the subject signal S _ norm is extracted in step 930normAs a base feature set Cbase
On the other hand, if it is determined in step 920 that a plurality of subject signals S _ norm are extracted from the pre-sampled signal, the controller 12 determines whether the plurality of subject signals S _ norm comply with a predetermined rule, and if the plurality of subject signals comply with the predetermined rule, determines that the pre-sampled signal satisfies the predetermined condition. As described above, the predetermined rule is used to indicate at least one characteristic of the main signal S _ norm of the boundary signal 30 in each first period T _ all, so that acquiring a pre-sampled signal that satisfies the predetermined condition means that the autonomous working apparatus 1 has captured a valid signal from the signal station 20 to achieve synchronization between the signal station 20 (i.e., the docking station 2) and the autonomous working apparatus 1. In the case where a plurality of second feature sets exist in the body signal of the boundary signal 30, the pre-processingThe rule may also indicate a cyclic order of these second feature sets (as shown in table 1), such that after one synchronization the next sampled signals may be identified according to the cyclic order indicated in the predetermined rule. For this case, in step 930, the controller 12 may use a second feature set corresponding to the last subject signal of the plurality of subject signals S _ norm as the basic feature set Cbase
Next, in the sampling phase, at step 940, at an arbitrary position of the predetermined operation region of the autonomous working apparatus 1, the controller 12 obtains a sampling signal obtained by sampling the sequence of the boundary signals 30. The sampling signal may be obtained by sampling and processing the electromagnetic field around the boundary 3 by the sensor 10.
In step 950, the controller 12 bases the set of basic features C of the boundary signal 30 onbaseIt is determined whether the sampled signal is a valid signal.
In one embodiment, the controller 12 may intercept a signal segment of the length of the first period T _ all from the position where the last first period T _ all ends in the sampling signal, and determine the second characteristic set C of the subject signal S _ norm included in the signal segmentnormWhether or not to match the basic feature set CbaseAnd (6) matching. If the second set of characteristics C of the body signal S _ norm contained in the signal segmentnormAnd the basic feature set CbaseAnd if the sampling signal is matched with the valid signal, determining the sampling signal as a valid signal. Conversely, if the second set of characteristics C of the subject signal S _ norm contained in the signal segment is presentnormAnd the basic feature set CbaseAnd if not, determining that the sampling signal is not a valid signal. Further, if the sampled signal is not a valid signal, the controller 12 may instruct the sensor 10 to re-sample the boundary signal 30 or to obtain a new sampled signal from the signals that are continuously acquired by the sensor 10.
In some embodiments, a second set of characteristics C of the subject signal S norm in a different first period T _ allnormMay be different. In this case, the second feature set C of the subject signal S norm contained in the signal segment is determinednormAnd the basic feature setCbaseAfter matching, the controller 12 also determines a second feature set C of the subject signal S norm contained in the signal segmentnormAnd a second set of characteristics C of the body signal S _ norm contained in one or more first periods T _ all following the signal segmentnormWhether a predetermined rule as described above, such as a cyclic order of a plurality of second discriminating characteristic sets as shown in table 1, is met. If it is determined that the predetermined rule is met, the controller 12 determines the sampling signal as a valid signal.
Various aspects of the present invention are described above with reference to fig. 1 to 9, including the signal station (docking station) of the autonomous operating system constructing boundary signals having different feature sets, the autonomous operating device sampling the boundary signals, and the autonomous operating device identifying the boundary signals from the sampled sensing signals, and the like. However, the above aspects are concerned with signal design for a single autonomous operating system and do not take into account interference issues for neighboring autonomous operating systems. When a plurality of autonomous operating systems as shown in fig. 1 are adjacently disposed and the autonomous operating systems are products of the same specification of the same manufacturer (i.e., the pulse frequencies of the generated boundary signals may be the same), the sensing signal received by the sensor 10 of the autonomous operating apparatus 1 may include the boundary signals of the adjacent systems in addition to the boundary signals of the current system.
Fig. 10A shows a schematic diagram of an ideal sensing signal in the presence of an adjacent autonomous operating system in the prior art. As shown in fig. 10A, the signal sensed by the sensor 10 of the autonomous working apparatus 1 includes a boundary signal 1020 (indicated by a thin solid line in fig. 10A) of an adjacent autonomous working system in addition to the boundary signal 1010 (indicated by a thick solid line in fig. 10A) of itself. In this ideal case, the boundary signals 1010 and 1020 have the same frequency and a stable phase difference, but since the distance from the sensor 10 is different, the strength of the boundary signal 1010 is generally greater than that of the boundary signal 1020, so the autonomous working apparatus 1 can recognize which of the sensed signals is the boundary signal 1010 for itself by determining the pulse strength (S) of the sensing signal, and further determine the specific information of the boundary signal 1010 for itself according to the characteristics of the identification signal and the body signal described above. However, in an actual situation, due to a hardware error of the signal generator 22 of the signal station 20 that transmits the boundary signal (an error caused by a crystal oscillator of a signal generation chip used), phases of two different boundary signals 1010 and 1020 are continuously changed relatively, so that a signal actually sensed by the autonomous working apparatus 1 is different from the actual situation shown in fig. 10A. FIG. 10B is a diagram illustrating actual sensing signals in the presence of a neighboring autonomous operating system in the prior art; fig. 10C shows an equivalent effect diagram of the actual sensing signal shown in fig. 10B. As shown in fig. 10B and 10C, due to the above-mentioned error, the adjacent boundary signals 1010 and 1020 are shifted and may partially overlap, so that the signal actually sensed by the sensor 10 is as shown in fig. 10C. With such a sense signal, it would be difficult for the autonomous working apparatus 1 to recognize the boundary signal 1010 for itself, so that the boundary 3 cannot be accurately determined. Further, in the case where two adjacent autonomous operating systems employ products of the same specification (the autonomous operating device 1 and the docking station 2), the signal generation frequencies are substantially the same, so that such signal overlapping will last for a considerable time, which makes it more difficult to recognize the boundary signal 1010.
In this regard, the present invention also provides a scheme for preventing coupling of signals generated by adjacent signal generators 22 as much as possible by controlling the frequency of occurrence of the signals. More specifically, in addition to the advance coordination between the characteristics of the flag signal, the characteristics of the body signal, and the cycle rule of the body signal as described in table 1, the correspondence between the characteristics of the flag signal and the characteristics of the body signal may be advanced, for example, the correspondence between the first time interval T _ flag of the first pulse 32 of the flag signal S _ flag and the second time interval T _ norm of the second pulse 34 of the body signal S _ norm may be advanced.
Referring to fig. 2 and 3 in combination, the signal station 20 for the autonomous working apparatus 1 includes a signal generator 22 configured to generate a sequence of boundary signals 30 (boundary signals 30) based on the correspondence relationship1、302… …). Boundary signal 30 packetIncluding a flag signal S _ flag (shown as a left-diagonal block in fig. 3) and a body signal S _ norm (shown as a white block in fig. 3) which occur in this order. As mentioned above, the flag signal S _ flag has a first characteristic, which for example belongs to the first set of characteristics C mentioned aboveflagThe body signal S _ norm has a second characteristic, which for example belongs to the second set of characteristics C described abovenormWherein the first feature set CflagAnd a second feature set CnormAt least one element has different types or values. First feature set CflagIncluding at least one of pulse width, pulse strength, pulse direction, number of pulses, pulse coding rules, and time intervals between adjacent pulses. Second feature set CnormIncluding at least one of pulse width, pulse strength, pulse direction, number of pulses, pulse coding rules, and time intervals between adjacent pulses.
In an embodiment according to the invention, the correspondence between the first feature and the second feature may be constructed such that for each value of the first feature, the correspondence uniquely specifies the value of the second feature. By configuring the boundary signal 30 in such a unique correspondence, the receiving end (autonomous working apparatus 1) is enabled to uniquely determine the main signal S _ norm corresponding thereto after determining the flag signal S _ flag.
In some embodiments, the flag signal S _ flag may include at least two first pulses 32 and the body signal S _ norm may include at least one second pulse 34. The first characteristic may comprise a first time interval T _ flag of the first pulse 32 and the second characteristic may comprise a second time interval T _ norm of the second pulse 34. Herein, the time interval between two adjacent first pulses 32 (as shown in fig. 3) is referred to as a first time interval T _ flag, and the time interval between the last first pulse 32 and an adjacent second pulse 34 or the time interval between two adjacent second pulses 34 is referred to as a second time interval T _ norm (i.e., the second period T _ norm described above).
In some embodiments according to the invention, the correspondence may be expressed as a functional relationship between the first feature and the second feature, such that the corresponding second feature can be uniquely determined from the first feature and the functional relationship.
In other embodiments according to the present invention, the correspondence may be represented as a correspondence table, for example, stored in memory 26 of signal station 20. The correspondence table may include values for a plurality of first characteristics of the first pulse 32 and values for a plurality of second characteristics of the second pulse 34, respectively. For example, as shown in table 2, the correspondence table may include a correspondence of at least one pair of the first time interval T _ flag and the second time interval T _ norm. Since the first time interval T _ flag of the first pulse 32 takes a value within the range of the second time interval T _ norm of the second pulse 34, i.e., T _ flag e (0, T _ norm), the boundary signal 30 can be constructed by a unique correspondence relationship therebetween, so that the receiving end (autonomous working apparatus 1) can uniquely determine the subsequent second time interval T _ norm after the first time interval T _ flag is determined, thereby identifying the corresponding body signal S _ norm to identify the entire boundary signal 30.
TABLE 2 table of correspondences
Numbering T_flag(ms) T_norm(ms)
1 2 12600
2 4 13333
3 6 15333
4 8 16555
In some embodiments, the different values of the first time interval T _ flag are relatively prime to each other. Furthermore, a plurality of values of the first time interval T _ flag are prime numbers.
In some embodiments, the different values of the second time interval T norm are relatively prime to each other. Further, a plurality of values of the second time interval T _ norm are prime numbers.
The transmitter 24 is configured to transmit the sequence of boundary signals 30 constructed as above to the boundary 3 connected to the signal station 20.
In one embodiment, the correspondence table includes only one pair of the first time interval T _ flag and the second time interval T _ norm (in the case where only one row is included in table 2). In this case, each boundary signal 30 in the sequence of boundary signals 30 has the same first time interval T _ flag and second time interval T _ norm. This case corresponds to the two time intervals being set uniquely in advance.
In another embodiment, the correspondence table may include values of a plurality of first time intervals T _ flag for the first pulse 32 and values of a plurality of second time intervals T _ norm for the second pulse 34, as shown in table 2, and the correspondence table includes 4 values of the first time intervals T _ flag and the second time intervals T _ norm. In this case, the signal generator 22 may be configured to select (e.g., in a specified order or a random order) one of the values of the first time interval T _ flag for the first pulse 32 from the correspondence table, and to select a value of the second time interval T _ norm corresponding to the selected value of the first time interval T _ flag for the second pulse 34 from the correspondence table. For example, the signal generator 22 may select 2ms (milliseconds) in the correspondence table as the first time interval T _ flag, and select 12600ms corresponding to 2ms as the second time interval T _ norm. In one embodiment, the signal generator 22 may select a first time interval T _ flag, for example, 2ms, and accordingly determine 12600ms for a second time interval T _ norm. When the occurrence of a signal interference is detected, the signal generator 22 may select a different first time interval T _ flag, for example, 4ms, and accordingly determine 13333ms as the second time interval T _ norm. Here, the detection of signal interference can be effected by a corresponding sensor arranged on the docking station 2; it may also be implemented by a corresponding sensor provided on the autonomous working apparatus 1 and notify the docking station 2 (more specifically, the notification signal transmitter 22) through the communication module.
Further, the signal generator 22 may further determine values of a plurality of different first characteristics (e.g., a first time interval T _ flag) and values of a plurality of corresponding second characteristics (e.g., a second time interval T _ norm) for a plurality of boundary signals 30 in the sequence of boundary signals 30, respectively.
Specifically, in one embodiment, the signal generator 22 is configured to sequentially select values of a plurality of first features (e.g., first time intervals T _ flag) from the correspondence table for a plurality of first pulses 32 of the sequence, respectively, in a specified order, and select values of a second feature (e.g., second time intervals T _ norm) corresponding to the selected values of the plurality of first features (e.g., first time intervals T _ flag) from the correspondence table for a plurality of second pulses 34 of the sequence, respectively. For example, assuming that the specified order is the order and cycles as shown in table 2, the signal generator 22 may select the combination of the first time interval and the second time interval in the order of number 1 → 2 → 3 → 4 → 1 → 2 → 3 → 4 … …, i.e., sequentially select 2ms and 12600ms for the boundary signal 30, respectively14ms and 13333ms for the boundary signal 30, respectively26ms and 15333ms for the boundary signal 30, respectively3First pulse 32 and second pulse 34 … … selection2ms and 12600ms are used for boundary signal 30, respectively5First pulse 32 and second pulse 34, etc.
Further, the above-described specified order may also be variable. For example, at least two different specified orders may be defined such that the signal generator 22 may select the values of the first feature and the values of the second feature for the plurality of boundary signals 30 from the correspondence table according to the at least two different specified orders. More specifically, the signal generator 22 may select the values of the first features and the values of the second features for the plurality of boundary signals 30 from the correspondence table in a first designated order of the at least two different designated orders, and after the selection of the first designated order is completed or when the signal interference is detected, the signal generator 22 selects the values of the first features and the values of the second features for the plurality of boundary signals 30 from the correspondence table in a second designated order of the at least two different designated orders. In one embodiment, the second designated order may be randomly selected from the at least two different designated orders, which may be the same as the first designated order or different from the first designated order. In another embodiment, the second specified order may be randomly selected from among the at least two different specified orders other than the first specified order. In this case, it can be ensured that the sequences of adjacent boundary signals are generated in a different specified order, which is particularly suitable in the case of signal interference being detected.
Still referring to table 2, assume that the first specified order is selected in the order of number 1 → 2 → 3 → 4 and the second specified order is selected in the order of number 3 → 1 → 4 → 2. In this case, the signal generator 22 may sequentially select 2ms and 12600ms for the boundary signal 30, respectively14ms and 13333ms for the boundary signal 30, respectively26ms and 15333ms for the boundary signal 30, respectively38ms and 16555ms for the boundary signal 30, respectively4First pulse 32 and second pulse 34. At the first designationAfter the selection of the sequence is complete, the signal generator 22 may sequentially select 6ms and 15333ms for the boundary signal 30 respectively52ms and 12600ms for the boundary signal 30, respectively68ms and 16555ms for the boundary signal 30, respectively74ms and 13333ms for the boundary signal 30, respectively8First pulse 32 and second pulse 34.
In another embodiment, the signal generator 22 is configured to select in sequence a plurality of first time intervals T _ flag from the correspondence table for the first pulses 32 of the sequence, respectively, in a random order, and to select from the correspondence table second time intervals T _ norm corresponding to the selected first time intervals T _ flag for the second pulses 34 of the sequence, respectively. For example, the signal generator 22 may randomly select 2ms, 4ms, 8ms, 6ms to be used as the boundary signal 30 respectively1、302、303、304、305The first time interval T _ flag of (1), the signal generator 22 should accordingly select 12600ms, 13333ms, 16555ms, 15333ms to be used as the boundary signal 30, respectively1、302、303、304、305Of the second time interval T norm. By adopting the method, the problem that the adjacent boundary signals 1010 and 1020 are difficult to identify due to long-time superposition can be effectively avoided.
On the other hand, at the receiving end, the sensor 10 of the autonomous working apparatus 1 senses the boundary signal 30 of the autonomous working apparatus 1 to generate a sensing signal. The sense signal may be, for example, a sense signal as shown in fig. 10A or 10C.
The controller 12 detects the flag signal S _ flag of the boundary signal 30 from the sensing signal and determines a first characteristic of the flag signal S _ flag. Here, the method of detecting the flag signal S _ flag of the boundary signal 30 may be as described above in conjunction with fig. 6 to 9. The controller 12 detects the intensity of the rising edge of the pulse signal in the sensing signal, and sets the status flag of the controller 12 to the sampling state when the intensity is greater than or equal to a predetermined threshold value. When the duration of the state flag of the controller 12 in the sampling state reaches a preset time or the intensity of the falling edge of the pulse signal is less than a predetermined threshold value, the state flag of the controller 12 is switched to the interval state. The controller 12 may extract a first signal segment whose status flag is from the sampling status to the interval status as a first pulse 32 of the flag signal S _ flag. In this manner, the controller 12 may continuously extract a plurality of pulse signals, and determine whether the pulse signals are the first pulses 32 according to the size of the time interval between the pulse signals (e.g., the time interval between the rising edges of two consecutive pulse signals). For example, as shown in Table 2, the first time interval T _ flag of the first pulse 32 of the flag signal S _ flag is typically much smaller than the second time interval T _ norm of the second pulse 34 of the body signal S _ norm, only a few milliseconds. Therefore, in the case of blind detection at the receiving end, it is possible to determine whether the first pulse 32 is detected or not according to the magnitude of the time interval between the detected pulse signals, thereby determining the first time interval T _ flag.
Further, the controller 12 may continuously detect all consecutive first pulses 32 in the sensing signal as above to determine the flag signal S _ flag in the sensing signal. Alternatively, the controller 12 may be based on the first set of characteristics CflagThe number of the first pulses 32 of the flag signal S _ flag included in the boundary signal 30 is known, thereby determining the flag signal S _ flag in the sensing signal.
Next, the controller 12 determines a second feature corresponding to the first feature based on the determined first feature of the flag signal S _ flag and the correspondence between the first feature and the second feature.
In one embodiment, the controller 12 may determine the second characteristic based on the first characteristic and a functional relationship between the first characteristic and the second characteristic.
In another embodiment, controller 12 may determine the correspondence based on a correspondence table stored in autonomous working apparatus 1 (more specifically, for example, memory 14). For example, the controller 12 may determine the second time interval T _ norm corresponding to the first time interval T _ flag based on the correspondence table (as shown in table 2). The correspondence table stored in the memory 14 of the autonomous working apparatus 1 is the same as the correspondence table stored in the memory 26 of the beacon station 20.
The controller 12 may detect the body signal S _ norm from the sensing signal based on the flag signal S _ flag and the second characteristic of the body signal S _ norm.
Here, the method of detecting the body signal S _ norm from the sensing signal may be as described above in connection with fig. 6 to 9. The controller 12 may switch the status flag of the controller 12 from the interval state to the response state after the interval time t _ intvl has elapsed from the first pulse 32 determined as described above. Here, the interval time T _ intvl is determined by the second time interval T _ norm. For example, the interval time T _ intvl may be determined from the second time interval T _ norm by the above formula (1). In a rough calculation, the second time interval T _ norm is much larger than the pulse width pw of the body signal S _ normnormE 1 and e 2, so the interval time T _ intvl can be considered to be substantially equal to the second time interval T _ norm.
The state flag of the controller 12 is switched from the response state to the sampling state when the intensity of the rising edge of the pulse signal in the sensing signal is greater than or equal to a predetermined threshold value, and the state flag of the controller 12 is switched to the interval state when the duration for which the state flag of the controller 12 is in the sampling state reaches a preset time or the intensity of the falling edge of the pulse signal is less than the predetermined threshold value. The controller 12 may extract a second signal segment of the status flag from the sampling state to the interval state as a second pulse 34 of the body signal S _ norm.
Further, the controller 12 may continuously detect all of the continuous second pulses 34 in the sensing signal as above to determine the subject signal S _ norm in the sensing signal. Alternatively, the controller 12 may be based on the second set of characteristics CnormThe number of second pulses 34 of the subject signal S _ norm contained in the boundary signal 30 is known, thereby determining the subject signal S _ norm in the sense signal.
Here, the detection of the first pulse 32 and the second pulse 34 may be performed by referring to the signal sampling process using the sampling state of the controller 12 described above with reference to fig. 7 or fig. 8, and will not be described again.
After determining the flag signal S _ flag and the body signal S _ norm in one of the boundary signals 30 as described above, the controller 12 may determine the complete boundary signal 30.
The above embodiments exemplarily describe the technical solution of the present invention by taking the pulse time interval as an example. It should be understood that any one or more of the other elements of pulse frequency, pulse width, pulse intensity, etc. may be used as the first and second features having unique correspondence in other equivalents.
The previous description of the disclosure is provided to enable any person skilled in the art to make or use the disclosure. Various modifications to the disclosure will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other variations without departing from the spirit or scope of the disclosure. Thus, the disclosure is not intended to be limited to the examples and designs described herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (10)

1. An autonomous working apparatus comprising:
a sensor configured to sense a boundary signal for the autonomous working apparatus to generate a sensing signal; and
a controller configured with a status flag that may be used to indicate that the autonomous working device is in one of a sampling state and a response state, the controller configured to determine whether an intensity of a rising edge of a pulse signal in the sense signal is greater than or equal to a predetermined threshold;
setting a status flag of the controller to a sampling state if the strength of the rising edge of the pulse signal in the sensing signal is greater than or equal to the predetermined threshold; and
and if the duration of the state flag of the controller in the sampling state reaches a preset time or the strength of the falling edge of the pulse signal is less than the preset threshold value, setting the state flag of the controller to be in a response state.
2. The autonomous working apparatus of claim 1, wherein the preset time is set to be greater than or equal to an effective pulse width of a current pulse signal.
3. The autonomous working apparatus of claim 2, wherein the preset time is set to be 5% greater than an effective pulse width of the current pulse signal.
4. The autonomous working apparatus of claim 1, wherein the preset time is set to be greater than or equal to a pulse width of a body signal of the boundary signal.
5. The autonomous operating device of claim 4, wherein the preset time is set to be 5% greater than a pulse width of a main body signal of the boundary signal.
6. The autonomous working apparatus of claim 1, wherein the status flag may be used to indicate that the autonomous working apparatus is in one of an interval state, a sampling state, and a response state, and setting the status flag of the controller to the response state if a duration of the status flag of the controller in the sampling state reaches a preset time or a strength of a falling edge of the pulse signal is less than the predetermined threshold value comprises:
if the duration of the state flag of the controller in the sampling state reaches a preset time or the intensity of the falling edge of the pulse signal is smaller than the preset threshold value, setting the state flag of the controller to be in an interval state; and
and when the state flag of the controller is in the interval state and reaches the interval time, setting the state flag of the controller to be in a response state.
7. The autonomous working apparatus of claim 6, wherein the interval time is determined by the following formula:
t_intvl=T_norm-pwnorm-∈1-∈2,
wherein T _ norm is the duration of each second pulse of the body signal of the boundary signal, which is a preset value,
pwnormis the pulse width of the body signal S norm, which is determined from the second set of characteristics of the body signal in the current period,
e 1 is a relative to pwnormIn the case of a very small value of,
e 2 is a statistical value indicating the time difference between the detection of a complete signal by the autonomous working machine and the identification of the complete signal as the boundary signal.
8. An autonomous operating system, comprising:
the autonomous working apparatus according to any one of claims 1 to 7; and
a signal station configured to transmit the boundary signal.
9. The autonomous operating system of claim 8, wherein the beacon comprises:
a signal generator configured to generate a sequence of boundary signals, the boundary signals including a flag signal and a body signal occurring in sequence, the flag signal including at least one first pulse and a feature of the flag signal belonging to a first feature set, the body signal including at least one second pulse and a feature of the body signal belonging to a second feature set, wherein at least one element between the first feature set and the second feature set is of a different type or a different value; and
a transmitter configured to transmit the sequence of boundary signals to a boundary connected to the signal station.
10. The autonomous operating system of claim 8, wherein the autonomous operating device is further configured to: pre-sampling the sequence of boundary signals at a predetermined initial position to obtain pre-sampled signals of the boundary signals, wherein the duration of each boundary signal in the sequence of boundary signals is a first period and the boundary signals comprise a flag signal and a body signal;
determining whether the pre-sampled signal satisfies a predetermined condition; in response to determining that the pre-sampled signal satisfies the predetermined condition, determining a set of basis features for the boundary signal based on the pre-sampled signal; acquiring a sampling signal obtained by sampling the sequence of the boundary signal at any position of a preset working area of the autonomous operating equipment; and
determining whether the sampling signal is a valid signal based on the basis feature set of the boundary signal.
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Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH05346353A (en) * 1992-06-16 1993-12-27 Toshiba Corp Optical fiber temperature distribution sensor
US5619134A (en) * 1994-02-25 1997-04-08 Nippondenso Co., Ltd. Physical quantity detecting device using interpolation to provide highly precise and accurate measurements
JP2001066376A (en) * 1999-06-25 2001-03-16 Osaka Gas Co Ltd Method for surveying and position confirming sheet
CN1317764A (en) * 2001-06-01 2001-10-17 上海爱普特仪器有限公司 Method and device for synchronously acquiring displacement data
US20030213896A1 (en) * 2000-10-22 2003-11-20 Lennart Stridsberg Position transducer
US20070126416A1 (en) * 2004-10-26 2007-06-07 Sentrinsic Llc Displacement Sensor Systems and Methods
JP2009088953A (en) * 2007-09-28 2009-04-23 Yokogawa Electric Corp Pulse input device
US20100295716A1 (en) * 2009-05-19 2010-11-25 Kabushiki Kaisha Toshiba Interference reduction device
JP2011160193A (en) * 2010-02-01 2011-08-18 Hochiki Corp Signal determination device, and transmission device
WO2015074532A1 (en) * 2013-11-20 2015-05-28 苏州科沃斯商用机器人有限公司 Self-moving robot with correction apparatus, and correction method therefor
US20190243386A1 (en) * 2018-02-02 2019-08-08 Lg Electronics Inc. Moving robot

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH05346353A (en) * 1992-06-16 1993-12-27 Toshiba Corp Optical fiber temperature distribution sensor
US5619134A (en) * 1994-02-25 1997-04-08 Nippondenso Co., Ltd. Physical quantity detecting device using interpolation to provide highly precise and accurate measurements
JP2001066376A (en) * 1999-06-25 2001-03-16 Osaka Gas Co Ltd Method for surveying and position confirming sheet
US20030213896A1 (en) * 2000-10-22 2003-11-20 Lennart Stridsberg Position transducer
CN1317764A (en) * 2001-06-01 2001-10-17 上海爱普特仪器有限公司 Method and device for synchronously acquiring displacement data
US20070126416A1 (en) * 2004-10-26 2007-06-07 Sentrinsic Llc Displacement Sensor Systems and Methods
JP2009088953A (en) * 2007-09-28 2009-04-23 Yokogawa Electric Corp Pulse input device
US20100295716A1 (en) * 2009-05-19 2010-11-25 Kabushiki Kaisha Toshiba Interference reduction device
JP2011160193A (en) * 2010-02-01 2011-08-18 Hochiki Corp Signal determination device, and transmission device
WO2015074532A1 (en) * 2013-11-20 2015-05-28 苏州科沃斯商用机器人有限公司 Self-moving robot with correction apparatus, and correction method therefor
US20190243386A1 (en) * 2018-02-02 2019-08-08 Lg Electronics Inc. Moving robot

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