JP2022143594A - Bird protection device, bird protection system, bird protection method and bird protection program - Google Patents

Abstract

To provide a bird protection device or the like capable of preventing lowering of a bird prevention performance since birds are accustomed to an emission pattern.SOLUTION: A bird protection device includes a selection part 101 for selecting a first emission pattern for allowing an emission part 111 to emit, from multiple emission patterns, and then, selecting a second emission pattern different from the first emission pattern, as an emission pattern for allowing the emission part to emit, and a control part 102 for allowing the emission part to emit by the selected emission pattern.SELECTED DRAWING: Figure 1

Description

TECHNICAL FIELD The present disclosure relates to a bird control device and the like that drives away birds and prevents bird damage.

As a bird-proof device, a device using a sensor for recognizing the arrival of birds and a light-emitting diode is known.

An example of an anti-bird device is described in US Pat. The anti-bird device described in Patent Document 1 provides a device for intermittently lighting a light-emitting diode when an infrared sensor recognizes the presence of birds.

JP 2005-110519 A

In the device described in Patent Document 1 mentioned above, the cycle and duty ratio of intermittent light emission suitable for driving away birds are set. However, in the bird-proof device described in Patent Document 1, the light-emitting diodes emit light in the same light-emitting pattern, and birds become accustomed to the light-emitting pattern, which may reduce the bird-proof performance. There is

An example of an object of the present disclosure is to provide a bird-proof device or the like that prevents birds from becoming accustomed to a light emission pattern and bird-proof performance from deteriorating.

A bird-proof device according to an aspect of the present disclosure selects a first light emission pattern for causing a light emitting portion to emit light from a plurality of light emission patterns, and then selects the first light emission pattern as the light emission pattern for causing the light emission portion to emit light. comprises selection means for selecting a different second light emission pattern, and control means for causing the light emission section to emit light in the selected light emission pattern.

A bird-proof system according to an aspect of the present disclosure comprises: light emitting means; and a control means for causing the light emitting means to emit light in the selected light emitting pattern.

A bird-proof method according to an aspect of the present disclosure selects a first light emission pattern for causing a light emitting unit to emit light from a plurality of light emitting patterns, and then selects the first light emitting pattern as the light emitting pattern for causing the light emitting unit to emit light. selects a different second light emission pattern, and causes the light emitting unit to emit light in the selected light emission pattern.

The bird-proof program according to one aspect of the present disclosure causes a computer to select, from a plurality of light emission patterns, a first light emission pattern for causing a light emitting unit to emit light, and then select the first light emission pattern for causing the light emitting unit to emit light. A selection process of selecting a second light emission pattern different from the light emission pattern and a control process of causing the light emission unit to emit light in the selected light emission pattern are executed.

One example of the effect of the present invention is to provide a bird-proof device or the like that can prevent birds from becoming accustomed to light emission and prevent bird-proof performance from deteriorating.

FIG. 1 is a block diagram showing the configuration of the first embodiment. FIG. 2 is a flow chart showing the operation of the bird-proof device in the first embodiment. FIG. 3 is a block diagram showing the configuration of the second embodiment. FIG. 4 is a flow chart showing the operation of the bird-proof device in the second embodiment. FIG. 5 is a block diagram showing the configuration of the third embodiment. FIG. 6 is a flow chart showing the operation of the bird-proof device in the third embodiment. FIG. 7 is a block diagram showing the configuration of the fourth embodiment. FIG. 8 is a block diagram showing the configuration of Modification 1 of the bird-proof device of each embodiment. FIG. 9 is a block diagram showing the configuration of Modification 2 of the bird-proof device of either the third embodiment or the fourth embodiment. FIG. 10 is a diagram showing a hardware configuration in which the anti-bird device of each embodiment is realized by a computer device and its peripheral devices. FIG. 11 is a block diagram showing a configuration when each embodiment is realized as a bird-proof system.

Next, embodiments will be described in detail with reference to the drawings.

[First embodiment]
FIG. 1 is a block diagram showing the configuration of a bird-proof device 100 according to the first embodiment. Referring to FIG. 1 , the bird-proof device 100 includes a selection section 101 and a control section 102 . Further, the light emitting unit 111 may be inside the bird-proof device 100 (this device), or may exist separately from this device and be connected to this device by wired communication or wireless communication.

Next, the configuration of the bird-proof device 100 according to the first embodiment will be described in detail.

In FIG. 1, the selection unit 101 selects a first light emission pattern for causing the light emitting unit 111 to emit light from a plurality of light emission patterns, and then selects a second light emission pattern as the light emission pattern for causing the light emitting unit 111 to emit light. . Further, the selection unit 101 selects a light emission pattern different from the first light emission pattern as the second light emission pattern. Alternatively, when selecting the second emission pattern, not only is the same as the first emission pattern selected, but similar patterns may be avoided.

Specifically, the light emission pattern is information on the pattern for causing the light emitting unit 111 to emit light. This information is not limited to a data string indicating intermittent light emission (symbol 1) or non-light emission (symbol 0), but also includes data indicating light emission intensity. may be changed. Further, the light emission pattern may be number information for instructing the pattern for light emission of the light emitting unit 111 or an identification number of the pattern.

Also, the lighting pattern is, for example, an intermittent lighting pattern of sufficient duration to scare away birds. Also, multiple lighting patterns suitable for repelling birds may be employed.

Furthermore, a similar pattern is, for example, a light emission pattern that is the same as 70% or more of the light emission pattern used before selection. Prevents learning patterns.

The control unit 102 controls the light emitting unit 111 to emit light according to the light emission pattern selected by the selection unit 101 . The control unit 102 may include a light emission control circuit that causes the light emitting unit 111 to emit light according to the selected light emission pattern.

The light emitting unit 111 emits light, such as an LED (Light Emitting Diode).

The operation of the bird-proof device 100 configured as described above will be described with reference to the flowchart of FIG.

FIG. 2 is a flow chart showing an overview of the light emitting operation of the bird-proof device 100 according to the first embodiment.

As shown in FIG. 2, the selection unit 101 first selects a light emission pattern for causing the light emission unit 111 to emit light upon receiving an instruction signal or a command, for example (step S101). In step S101, when selecting the next light emission pattern after selecting the first light emission pattern, the selection unit 101 selects a second light emission pattern different from the first light emission pattern selected last time.

A specific example of the trigger for starting step S101 is detection of staying or intrusion into the monitoring target due to one or more flying birds. Upon detection of staying or intrusion due to one or more flying birds, the selector 101 receives an instruction signal or command, and executes step S101.

Next, the control unit 102 controls the light emitting unit 111 to emit light according to the light emission pattern selected by the selection unit 101 (step S102). In this case, for example, the light emitting unit 111 emits light to a monitoring target in which one or more birds are detected to stay or enter.

Thus, the bird-proof device 100 completes the operation of driving away birds.

Next, effects of the first embodiment of the present disclosure will be described.

The bird-proof device 100 according to the present embodiment described above can prevent birds from becoming accustomed to the light emission pattern and the bird-proof performance from deteriorating. This is because the selection unit 101 selects a light emission pattern different from the previous light emission and the control unit 102 causes the light emission unit 111 to emit light, thereby making it difficult for the bird to learn the light emission pattern.

[Second embodiment]
Next, a second embodiment of the present disclosure will be described in detail with reference to the drawings. The second embodiment includes the configuration of the first embodiment. In the following, the description of the contents overlapping with the above description is omitted to the extent that the description of the present embodiment is not unclear.

FIG. 3 is a block diagram showing the configuration of a bird-proof device 200 according to the second embodiment of the present disclosure.

Referring to FIG. 3, the anti-bird device 200 in this embodiment comprises a storage unit 203 as compared with that in the first embodiment.

Storage unit 203 stores a history of use of light emission patterns for causing light emission unit 111 to emit light. The usage history of the light emission patterns includes, for example, information on a plurality of light emission patterns, the date and time when the light emitting unit was caused to emit light in each light emission pattern, and the order of light emission of the light emission patterns. The usage history may include image data received from a camera that captured the presence or intrusion of birds on the target, or other information.

Next, the operation of the bird-proof device according to this embodiment will be described with reference to the flowchart shown in FIG.

As shown in FIG. 4, the selection unit 101 first refers to the usage history of the light emission pattern stored in the storage unit 203 (step S201).

Next, the selection unit 101 selects a second light emission pattern different from the first light emission pattern emitted last time, based on the usage history referred to in step S201 (step S202). In step S202, when it is determined that the bird-proof device 200 according to the present embodiment emits light for the first time, the selection unit 101 randomly selects a light emission pattern from a plurality of light emission patterns as the first light emission pattern. When it is determined that the bird-proof device 200 emits light for the second time or later, the selection unit 101 selects a light emission pattern (second light emission pattern) different from the previously used light emission pattern based on the usage history. Further, when it is determined that the number of light emission times of the bird-proof device 200 exceeds the number of light emission patterns, the selection unit 101 selects the light emission pattern with the oldest usage history of the light emission pattern.

The control unit 102 controls the light emitting unit 111 to emit light using the light emission pattern selected in step S202 (step S203).

Note that the usage period of one light emission pattern is, for example, a predetermined number of days. Also, the light emission according to the first or second light emission pattern may be triggered by receiving an instruction signal or command. Also, the light emission time in the light emission pattern may be, for example, a predetermined time such as early morning or evening, but the time is not limited.

The control unit 102 stores the light emission pattern in which the light emitting unit 111 is caused to emit light in step S203 as a usage history in the storage unit 203 (step S204).

Thus, the bird-proof device 200 completes the operation of driving away birds.

Next, effects of the second embodiment of the present disclosure will be described.

The bird-proof device 200 according to the present embodiment described above can prevent birds from becoming accustomed to the light emission pattern and the bird-proof performance from deteriorating. The reason is that the selection unit 101 refers to the usage history of the light emission patterns stored in the storage unit 203, selects a light emission pattern different from the previous light emission, and the control unit 102 causes the light emission unit 111 to emit light. This makes it difficult for birds to learn the light emission pattern. In addition, by selecting the light emission pattern with the oldest usage history, the same light emission pattern is not repeatedly used in a short period of time, making it more difficult for birds to learn the light emission pattern.

[Third Embodiment]
Next, a third embodiment of the present disclosure will be described in detail with reference to the drawings. In the following, the description of the contents overlapping with the above description is omitted to the extent that the description of the present embodiment is not unclear.

FIG. 5 is a block diagram showing the configuration of a bird-proof device 300 according to the third embodiment of the present disclosure.

Referring to FIG. 5, the bird-proof device 300 in this embodiment comprises a storage section 303 and a recognition section 304, unlike those in the first and second embodiments. Moreover, the temperature sensor 312 and the sound sensor 313 may be inside the bird control device 300 (this device), or they may exist separately from this device and be connected to this device by wired communication or wireless communication. good too. In addition to temperature and sound, sensors and devices for recognizing the arrival of birds may be provided.

The storage unit 303 stores the usage history of the light emission pattern for causing the light emitting unit to emit light, like the storage unit 203 of the second embodiment. In addition, it stores temperature distribution data, sound data, history of the arrival of birds, etc., which will be described later.

The recognition unit 304 recognizes the arrival of birds. Upon recognizing the arrival of birds, the recognition unit 304 outputs a signal instructing the selection unit 101 to select a light emission pattern. As an example of a method for recognizing the arrival of birds, a method using temperature distribution data and sound data around a monitoring target location will be described below.

First, the recognition method of the recognition unit 304 when temperature distribution data is used will be described. In advance, the temperature sensor 312 acquires temperature distribution data when birds are not flying toward the target to be bird-proofed, and the acquired temperature distribution data is stored in the storage unit 303 as normal temperature distribution data. . Bird-proofing targets are specific secondary or three-dimensional areas, such as urban areas, airports, areas within residential areas, building interiors, building perimeters, and the like.

Temperature sensor 312 is, for example, an infrared camera. The recognition unit 304 generates temperature distribution data using image data acquired by the infrared camera. Note that the temperature distribution data may be generated within the infrared camera. In this case, the recognition unit 304 receives temperature distribution data. The following description assumes that the temperature sensor 312 generates temperature distribution data and the recognition unit 304 acquires the generated temperature distribution data.

When the bird-proof device 300 starts to operate, the temperature sensor 312 generates temperature distribution data of the object to be bird-proofed. The recognition unit 304 acquires the temperature distribution data generated by the temperature sensor 312 and compares the acquired temperature distribution data with normal temperature distribution data stored in advance in the storage unit 303 . Based on the result of the comparison, the recognizing unit 304 determines whether the temperature distribution data indicates a temperature distribution different from a normal state, for example, a temperature distribution in an abnormal state in which birds are present in the monitoring target.

Alternatively, based on the result of the comparison, the recognizing unit 304 may determine that the temperature distribution data is in a normal state or close to a normal state and is in an abnormal state if the temperature distribution is not in an abnormal state. Specifically, a normal state or a state close to a normal state means a state in which no birds are present or birds are present but in small numbers. For example, the normal state or a state close to the normal state is identified when the recognition unit 304 detects that the difference between the temperature distribution data and the temperature distribution data of the normal state does not reach the threshold. If the difference exceeds the threshold, the recognizing unit 304 determines that there is an abnormal state (birds are flying). Note that the difference corresponds to the comparison result.

Further, the recognition unit 304 may determine the normal state or the abnormal state by a method of calculating the degree of similarity between the temperature distribution data in the normal state and the acquired temperature distribution data. For example, the recognition unit 304 extracts a feature vector representing the feature amount of the temperature distribution data acquired from the temperature sensor 312, and determines the similarity between the feature vector of the temperature distribution data in the normal state and the feature vector of the acquired temperature distribution data. When the degree of similarity exceeds a predetermined threshold, it is determined to be in a normal state, and when the degree of similarity is equal to or less than a predetermined threshold, it is determined to be in an abnormal state (there are birds flying in).

By the above operation, the temperature distribution data is used to recognize the arrival of birds.

Next, a recognition method of the recognition unit 304 when sound data is used will be described. In advance, the sound sensor 313 acquires sound data when birds are not flying toward the target to be protected against birds, and based on the acquired sound data, the recognition unit 304 recognizes the frequency components of the sound data in the normal state and stores them. 303.

When the bird-proof device 300 starts to operate, the sound sensor 313 acquires sound data of a target for bird-proofing. The recognition unit 304 receives sound data from the sound sensor 313, performs frequency analysis on the sound data acquired by the sound sensor 313, compares the frequency components of the sound data in the normal state, and determines if the frequency components are close to the normal state. , determine that no birds are flying. Also, if the frequency component is different from the normal state, it is determined that birds are flying.

By the above operation, the sound data is used to recognize the arrival of birds.

Furthermore, by using both the recognition method using the temperature distribution data and the recognition method using the sound data, for example, when both the temperature distribution data and the frequency components of the sound data deviate from the normal state, birds It is possible to improve the accuracy of recognizing the arrival of birds, such as determining that a bird is flying.

Further, the obtained temperature distribution data or sound data are stored by the calendar function unit provided in the device, the acquisition date, the acquisition time, and the determination result of birds flying in. It may be stored in the storage unit 303 as a bird's arrival history with information such as the acquisition location.

The temperature sensor 312 detects the temperature of an object (monitored object) to be bird-proofed. The detected temperature data is sent to the recognition unit 304 and used to recognize the arrival of birds.

The sound sensor 313 detects the sound of the object to be protected against birds. The detected sound data is sent to the recognition unit 304 and used to recognize the arrival of birds.

Next, the operation of the bird-proof device 300 according to this embodiment will be described with reference to the flowchart shown in FIG.

As shown in FIG. 6, first, the recognition unit 304 recognizes the arrival of birds and instructs the selection unit 101 to select a light emission pattern (step S301). For example, when temperature distribution data is used, the temperature sensor 312 generates temperature distribution data for an object to be protected against birds. The recognition unit 304 compares the temperature distribution data generated by the temperature sensor 312 with normal temperature distribution data stored in advance in the storage unit, and determines whether or not birds are flying.

When sound data is used, the sound sensor 313 acquires the sound data of the object to be protected against birds. The recognition unit 304 analyzes the frequency of the sound data acquired by the sound sensor 313, compares the frequency components with the frequency components of normal state sound data stored in advance in the storage unit, and determines whether or not birds are flying.

Furthermore, when both the recognition method using the temperature distribution data and the recognition method using the frequency component of the sound data differ from the normal state, it is possible to recognize that birds are flying.

Next, when the recognition unit 304 recognizes the arrival of birds in step S301 and receives an instruction to select a light emission pattern, the selection unit 101 selects a light emission pattern for causing the light emission unit 111 to emit light (step S302). At this time, if this bird-proof device 300 emits light for the first time, the light emission pattern is randomly selected. Also, if it is not the first time, a second light emission pattern different from the first light emission pattern emitted last time is selected. Further, when it is determined that the number of light emission times of the bird-proof device 300 exceeds the number of light emission patterns, the selection unit 101 selects the light emission pattern with the oldest use history of the light emission pattern.

The control unit 102 controls the light emitting unit 111 to emit light using the light emission pattern selected in step S302 (step S303).

Thus, the bird-proof device 300 completes the operation of driving away birds.

Next, effects of the third embodiment of the present disclosure will be described.

The bird-proof device 300 according to the present embodiment described above can prevent birds from becoming accustomed to the light emission pattern and the bird-proof performance from deteriorating. The reason for this is that when birds fly toward the target to be protected against birds, the recognition unit 304 recognizes the birds flying, the selection unit 101 selects a light emission pattern different from the previous light emission, and the control unit 102 This is because making the light emitting unit 111 emit light makes it difficult for the bird to learn the light emission pattern.

In addition, the bird-proof device 300 according to the present embodiment is provided with the recognition unit 304, so that it can emit light when a bird comes flying, and does not emit unnecessary light, thereby saving power. Furthermore, when the recognizing unit 304 recognizes the arrival of birds, giving an instruction to the selecting unit 101 to select a light emission pattern triggers the bird-proof device 300 to emit light to drive away the birds. There is no need for people to judge, and labor costs can be reduced.

[Fourth embodiment]
AI (Artificial Intelligence) can also be used in the recognition method of the recognition unit 304 of the third embodiment.

The recognition unit 404 has an AI processing unit 405 like the bird-proof device 400 shown in FIG. 7 of this embodiment.

The storage unit 403 stores the detection data of the sensor used for recognizing the arrival of birds and the usage history of the light emission pattern. The storage unit 403 also stores a plurality of reference sample data tables that the AI processing unit 405 uses for AI processing. In the reference sample data table, frequency components of temperature distribution data or sound data, for example, in a state in which birds are not flying, are stored in advance as data in a normal state. For example, the reference sample data table is stored in the storage unit 403 for each monitoring target.

The reference sample data table can also be generated independently by the AI processing unit 405's own learning function. For example, even in a normal state, the temperature distribution of the monitored object changes depending on the environmental temperature of the monitored object or the season. The AI processing unit 405 uses a trained sample data generation model generated by machine learning with environmental temperature or seasonal data as an explanatory variable, and extracts data corresponding to the environmental temperature or the season from the normal sample data. Generate a sample data table for state reference. Then, the AI processing unit 405 stores the generated reference sample data table in the storage unit 403 .

When the AI processing unit 405 recognizes the arrival of birds based on the temperature distribution data, when the temperature distribution data generated by the temperature sensor 312 is sent, the AI processing unit 405 detects the normal temperature distribution data stored in the reference sample data table in advance. , and extract feature values or feature vectors. Furthermore, the AI processing unit 405 performs image analysis on the temperature distribution data acquired by the temperature sensor 312, and extracts feature amounts or feature vectors. The AI processing unit 405 compares the feature amounts of both or the feature vectors of both. Based on the comparison result, the AI processing unit 405 determines whether the feature amount or feature vector obtained by image analysis of the acquired temperature distribution data is temperature distribution data in a normal state or a temperature distribution close to the temperature distribution data in a normal state (abnormal state). or the temperature distribution is abnormal. Alternatively, the AI processing unit 405 determines whether the temperature distribution is in the normal state or whether the temperature distribution is different from the normal state, that is, whether the target is an abnormal state in which birds are present. Note that the comparison result is, for example, the difference or the degree of similarity described in the third embodiment.

In addition, when the AI processing unit 405 recognizes the arrival of birds from sound data, when the sound data acquired by the sound sensor 313 is sent, the frequency of the sound data in the normal state stored in the reference sample data table in advance is detected. Perform analysis and extract features or feature vectors. Furthermore, the AI processing unit 405 performs frequency analysis on the sound data acquired by the sound sensor 313, and extracts feature amounts or feature vectors. The AI processing unit 405 compares the feature amounts or feature vectors of both, and from the comparison result, the feature amount or feature vector obtained by frequency analysis of the acquired sound data is the frequency component of the sound data in the normal state or the frequency component of the sound data in the normal state. It is determined whether the frequency component is close to the sound data (whether it is in an abnormal state) or whether the frequency component is in an abnormal state. Alternatively, the AI processing unit 405 determines whether the frequency component of the sound data is in the normal state or whether the frequency component is different from the normal state, that is, whether the target is an abnormal state in which birds are present. discriminate.

Furthermore, when the AI processing unit 405 recognizes the arrival of birds using both the temperature distribution data and the sound data, the above procedure determines that both the temperature distribution data and the sound data are in an abnormal state. It is determined that birds are present when

In addition, the date and time of acquisition, the determination result of incoming birds, and information such as the location of acquisition when the device performs bird-proofing at a plurality of locations by the calendar function unit provided in the device. may be added and stored in the storage unit 403 as the history of the arrival of birds.

As described above, when the AI processing unit 405 recognizes a bird, it sends an instruction for selecting a light emission pattern for causing the light emitting unit 111 to emit light to the selection unit 101. light emission operation.

Next, effects of the fourth embodiment of the present disclosure will be described.

The bird-proof device 400 according to the present embodiment described above can prevent birds from becoming accustomed to the light emission pattern and the bird-proof performance from deteriorating. The reason for this is that when the recognition unit 404 recognizes an incoming bird, the selection unit 101 selects a light emission pattern different from the previous light emission, and the control unit 102 causes the light emission unit 111 to emit light, so that the bird is in the light emission pattern. This is because it makes it difficult to learn

In addition, the bird-proof device 400 according to the present embodiment is provided with the recognition unit 404 having the AI processing unit 405, so that it can perform a light-emitting operation when a bird comes flying, does not emit light unnecessarily, and saves power. be. Furthermore, when the recognizing unit recognizes the arrival of birds, giving an instruction to the selecting unit 101 to select a light emission pattern triggers the bird-proof device 400 to emit light to drive away the birds. There is no need for people to make judgments, and labor costs can be reduced.

[Modification 1]
A bird-proof device 500 shown in FIG. 8 includes a generation unit 506 in the selection unit 501 having the configuration of the selection unit 101 according to any one of the first to fourth embodiments. However, for the sake of explanation, FIG. 8 shows only the bird-proof device having the configuration of the selection unit 501 in which the generation unit 506 is provided in the selection unit 101 of the bird-proof device 100 of the first embodiment.

The generation unit 506 randomly generates the first light emission pattern or the second light emission pattern for causing the light emission unit 111 to emit light in terms of light emission time, light emission interval, light emission intensity, and the like. A light emission pattern may be generated each time the light emitting unit 111 is caused to emit light, or a plurality of light emission patterns may be generated and stored in advance. Further, when a light emission pattern is generated each time light is emitted, the generated light emission pattern may be stored as a usage history.

Further, when randomly generating a light emission pattern, the range of light emission time, light emission interval, and light emission intensity required to drive away birds may be determined in advance.

The selection unit 501 selects the light emission pattern generated by the generation unit 506, and the control unit 102 causes the light emission unit 111 to emit light in the selected light emission pattern.

[Modification 2]
A bird-proof device 600 shown in FIG. 9 is provided with a predictor 607 in the third or fourth embodiment. A storage unit 603 and a recognition unit 604 have the configuration of the storage unit of any one of the second to fourth embodiments and the configuration of the recognition unit of the third or fourth embodiment, respectively.

The prediction unit 607 analyzes the above-described bird arrival history, predicts the arrival time of birds, and performs anti-bird measures such as light emitting operation and vibrating trees in advance. Analyzing the temperature distribution data and sound data of the history of bird arrivals, and the information on the date and time of acquisition given to them, we estimate the arrival of birds by season and time period.

The prediction unit 607 sends an instruction for the selection unit 101 to select a light emission pattern at a time when birds are predicted to come flying.

When the selector 101 receives an instruction, the bird-proof device 600 performs a light-emitting operation.

The operation of the prediction unit 607 may be processed by an AI processing unit (not shown) included in the prediction unit 607 or the AI processing unit 405 in FIG. The AI processing unit estimates the arrival time of birds for each season based on the time stamp of the acquisition date and time given to each of the temperature distribution data and sound data of the history of bird arrivals stored in the storage unit 603 . The prediction unit 607 sends an instruction for the selection unit 101 to select a light emission pattern at the time when birds are predicted to come flying, and the bird-proof device 600 shifts to the light emission operation.

In this modified example 2, the anti-bird device 600 is provided with the prediction unit 607, and by performing the above-described operation, anti-bird measures can be taken before birds come flying, and damage caused by birds such as noise and feces can be performed. can be prevented from occurring.

[Modification 3]
In the first embodiment to the fourth embodiment described above, the operation of recognizing the arrival of birds using the data acquired by the sensor, the operation of selecting the light emission pattern, the operation of causing the light emission unit to emit light, and the generation of the light emission pattern. A learning model may be generated for an action such as an action by machine learning, and the learned model may be used to input information from a sensor to unmannedly execute the action of the anti-bird device.

[Hardware configuration by computer]
Each component in each embodiment of the present disclosure described above is represented by a functional block, and the function can be realized not only by hardware but also by a computer device and firmware based on program control. be able to.

FIG. 10 is a diagram showing an example of a hardware configuration in which the bird-proof devices 100, 200, 300, 400, 500, and 600 of the present disclosure are implemented by a computer device 10 including a processor. As shown in FIG. 9, a computer device 10 includes a CPU (Central Processing Unit) 11, a memory 12, a storage device 13 such as a hard disk for storing programs, an input/output I/F (Interface) for connecting an input device and an output device. ) 14, and a communication I/F (Interface) 15 for network connection.

The CPU 11 operates the operating system to control the entire bird-proof device of the present invention. The CPU 11 also reads programs and data from a storage medium attached to a drive device or the like to the memory 12 . Further, the CPU 11 functions, for example, as part of the selection unit 101 and the control unit 102 in the first embodiment, and executes processing or commands based on programs.

The storage device 13 is, for example, an optical disk, a flexible disk, a magneto-optical disk, an external hard disk, or a semiconductor memory. A part of the storage medium of the storage device is a non-volatile storage device, in which programs are recorded. Alternatively, the program may be downloaded from an external computer (not shown) connected to a communication network.

An input device connected to the input/output I/F (Interface) 14 is implemented by, for example, a mouse, a keyboard, built-in key buttons, etc., and is used for input operations. The input device is not limited to a mouse, keyboard, or built-in key buttons, but may be, for example, a touch panel or a sensor that senses temperature, sound, or the like.

Similarly, an output device connected to the input/output I/F (Interface) 14 is realized by, for example, a display and used for checking the output, or realized by an LED (Light Emitting Diode), and emits light according to the command of the CPU 11. or

As described above, the bird-proof devices of each embodiment and each modification of the present disclosure are realized by the computer hardware shown in FIG. 10 . However, the implementation means of each part provided in each bird-proof device is not limited to the configuration described above. In addition, each anti-bird device may be implemented by one device that is physically combined, or may be implemented by two or more devices that are physically separated and connected by wire or wirelessly. good too. For example, the input device and output device may be connected to the computer device 10 via a network.

Each embodiment may also be implemented as an anti-bird system. For example, the anti-bird system 1000 shown in FIG. 11 includes an anti-bird device 700 implemented by computer hardware and one or more light emitting devices 711 connected by wired or wireless communication. The bird-proof device 700 has the configuration of the bird-proof device of each embodiment or each modified example. However, FIG. 11 shows only the bird-proof device 700 provided with the selection unit 101 and the control unit 102 of the bird-proof device 100 of the first embodiment as the bird-proof device of the bird-proof system 1000 for the sake of explanation. Additionally, bird control system 1000 may include one or more temperature sensors or sound sensors. Bird-proof system 1000 includes light-emitting devices 711 for one or more targets (monitoring targets) to be protected against birds, and bird-proof devices 700 control light-emitting operations for bird protection.

Furthermore, the bird control system 1000 may include one or more temperature sensors or sound sensors for each monitored object to recognize the arrival of birds. The temperature sensor or sound sensor is connected with the anti-bird device 700 of the anti-bird system 1000 via wired or wireless communication.

Although the present invention has been described with reference to each embodiment, the present invention is not limited to the above embodiments. Any one of the first to fourth embodiments or modifications may be combined. Various changes can be made to the configuration and details of the present invention within the scope of the present invention that can be understood by those skilled in the art.

For example, although a plurality of operations are described in order in the form of a flowchart, the order of description does not limit the order in which the plurality of operations are performed. Therefore, when implementing each embodiment, the order of the plurality of operations can be changed within a range that does not interfere with the content.

10 computer device 11 CPU
12 memory 13 storage device 14 input/output I/F
15 Communication I/F
REFERENCE SIGNS LIST 100 Bird-proof device 101 Selection unit 102 Control unit 111 Light-emitting unit 200 Bird-proof device 203 Storage unit 300 Bird-proof device 303 Storage unit 304 Recognition unit 312 Temperature sensor 313 Sound sensor 400 Bird-proof device 403 Storage unit 404 Recognition unit 405 AI processing unit 500 Bird-proof device 501 Selection unit 506 Generation unit 600 Bird-proof device 603 Storage unit 604 Recognition unit 607 Prediction unit 700 Bird-proof device 711 Light-emitting device 1000 Bird-proof system

Claims (10)

Selecting a first light emitting pattern for causing the light emitting unit to emit light from a plurality of light emitting patterns, and then selecting a second light emitting pattern different from the first light emitting pattern as the light emitting pattern for causing the light emitting unit to emit light; a selection means;
a control means for causing the light-emitting portion to emit light in the selected light-emitting pattern;
anti-bird device. further comprising storage means for storing a usage history of the light emission pattern for causing the light emitting unit to emit light;
2. The method according to claim 1, characterized in that, after selecting all the light emission patterns of the plurality of light emission patterns, the selection means refers to the use history of the light emission patterns, and selects from the one with the oldest use history. anti-bird device. further comprising recognition means for recognizing the arrival of birds,
When the recognition means recognizes the arrival of the birds, the selection means selects the first light emission pattern or the second light emission pattern, and the control means causes the light emission part to emit light in the selected light emission pattern. The anti-bird device according to claim 2, characterized in that: The storage means stores a history of the arrival of the birds recognized by the recognition means,
Further comprising prediction means for predicting the arrival of birds based on the history of the arrival of birds,
The selecting means selects the first light emitting pattern or the second light emitting pattern at the predicted arrival time of birds predicted by the predicting means, and the controlling means controls the light emitting unit to emit light according to the selected light emitting pattern. The anti-bird device according to claim 3, characterized in that it emits light. The prevention system according to claim 3 or 4, characterized in that said recognition means recognizes the arrival of birds by comparing temperature distribution data in a normal state of the monitoring target with acquired temperature distribution data. bird equipment. The bird control according to any one of claims 3 to 5, characterized in that said recognition means recognizes the arrival of birds by comparing sound data in a normal state of the monitoring target with acquired sound data. Device. Further comprising generating means for generating the random light emission pattern,
7. The method according to any one of claims 1 to 6, wherein said selection means selects said first light emission pattern or said second light emission pattern from a plurality of said random light emission patterns generated by said generation means. Bird protection device according to . a light emitting means that emits light under the control of the control means;
a bird-proof device according to any one of claims 1 to 7;
anti-bird system. selecting a first light emitting pattern for causing the light emitting unit to emit light from a plurality of light emitting patterns, and then selecting a second light emitting pattern different from the first light emitting pattern as the light emitting pattern for causing the light emitting unit to emit light;
A bird-proofing method, characterized by causing the light-emitting part to emit light in a selected light-emitting pattern. to the computer,
Selecting a first light emitting pattern for causing the light emitting unit to emit light from a plurality of light emitting patterns, and then selecting a second light emitting pattern different from the first light emitting pattern as the light emitting pattern for causing the light emitting unit to emit light; a selection process;
Control processing for causing the light emitting unit to emit light in the selected light emission pattern;
A bird control program that runs

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