Lighting device based on self-learning lighting group control mechanism and method thereof

Abstract

The invention discloses a lighting device based on a self-learning lighting group control mechanism and a method thereof. The lighting device comprises a detection module, a communication module and a processing module, the communication module is configured to receive a first broadcast signal having a first identifier. The processing module is connected with the detection module and the communication module. Wherein the processing module generates a time window and a learning item according to the time point when the first broadcast signal is received and the signal strength of the first broadcast signal, and increases the memory depth of the learning item when the detection module detects the moving object in the time window.

Description

Technical Field

[0001] The present invention relates to a lighting device, in particular to a lighting device based on a self-learning lighting group control mechanism, and also relates to a self-learning lighting group control method of the lighting device. Background Art

[0002] Due to the advancement of technology, the functions of lighting devices have been greatly improved, and lighting systems with lighting group control functions can be realized. However, the installation process of existing lighting systems with lighting group control functions requires complex network settings and network construction, which greatly increases the overall cost of the lighting system. In addition, technicians need to set up groups for each lighting device in the lighting system separately, which will also consume a lot of manpower costs, further increasing the overall cost of the lighting system. In addition, the above-mentioned group settings need to be implemented through hardware switches (such as dip switches, etc.), so the number of groups may also be limited by the hardware switches, and the application of the lighting system is greatly restricted.

[0003] Chinese patent publication CN116507003A, Chinese patent authorization CN221103571U and US patent publication US20170181249A1 also disclose improved lighting systems, but they still cannot effectively solve the above-mentioned problems. Summary of the invention

[0004] The present invention proposes a lighting device based on a self-learning lighting group control mechanism, which includes a detection module, a communication module and a processing module. The communication module is used to receive a first broadcast signal with a first identifier. The processing module is connected to the detection module and the communication module. The processing module generates a time window and a learning item according to the time point when the first broadcast signal is received and the signal strength of the first broadcast signal, and increases the memory depth of the learning item when the detection module detects a moving object within the time window.

[0005] As an improvement of the present invention, the processing module converts the signal strength of the first broadcast signal into an estimated time length as the length of the time window, and uses this time point as the starting point of the time window.

[0006] As an improvement of the present invention, the processing module calculates the propagation distance of the first broadcast signal according to the signal strength of the first broadcast signal, and divides the propagation distance by the estimated speed to generate the estimated time length.

[0007] As an improvement of the present invention, the lighting device further comprises a lighting module. The processing module determines that the learning project is valid when the memory depth of the learning project exceeds a preset threshold value. The processing module starts the lighting module when the communication module receives the first broadcast signal next time.

[0008] As an improvement of the present invention, the lighting device further comprises a lighting module. When the detection module detects the moving object or another moving object, the processing module controls the communication module to broadcast a second broadcast signal having a second identifier and activates the lighting module.

[0009] The present invention proposes a self-learning lighting group control method, which includes the following steps: receiving a first broadcast signal with a first identifier; generating a time window according to the time point when the first broadcast signal is received and the signal strength of the first broadcast signal; generating a learning item; and increasing the memory depth of the learning item when a moving object is detected within the time window.

[0010] As an improvement of the present invention, the step of generating a time window according to the time point when the first broadcast signal is received and the signal strength of the first broadcast signal also includes the following steps: converting the signal strength of the first broadcast signal into an estimated time length as the length of the time window; and taking this time point as the starting point of the time window.

[0011] As an improvement of the present invention, the step of converting the signal strength of the first broadcast signal into an estimated time length as the length of the time window also includes the following steps: calculating the propagation distance of the first broadcast signal based on the signal strength of the first broadcast signal; and dividing the propagation distance by the estimated speed to generate an estimated time length.

[0012] As an improvement of the present invention, the method further includes the following steps: determining that the learning project is valid when the memory depth of the learning project exceeds a preset threshold value; and activating the lighting module when the first broadcast signal is received next time.

[0013] As an improvement of the present invention, a second broadcast signal having a second identifier is broadcasted when a moving object is detected; and the lighting module is activated.

[0014] As described above, the lighting device and method based on the self-learning lighting group control mechanism according to the embodiments of the present invention may have one or more of the following advantages: (1) According to the content disclosed in the present invention, the lighting device includes a detection module, a communication module, a processing module and a lighting module. The communication module is used to receive a first broadcast signal with a first identifier. The processing module is connected to the detection module and the communication module. The processing module generates a time window and a learning item according to the time point when the first broadcast signal is received and the signal strength of the first broadcast signal, and increases the memory depth of the learning item when the detection module detects a moving object within the time window. The processing module determines that the learning item is valid when the memory depth of the learning item exceeds a preset threshold value, and starts the lighting module when the communication module receives the first broadcast signal next time. Through the above-mentioned lighting group control mechanism based on the self-learning function, multiple lighting devices can be automatically grouped without the need for complex network settings and network construction. Therefore, the installation cost of the lighting system can be greatly reduced, so that the lighting system can better meet the needs of practical applications.

[0015] (2) According to the content disclosed by the present invention, the lighting device has a lighting group control mechanism based on a self-learning function. The lighting group control mechanism based on the self-learning function can realize automatic grouping, so there is no need to perform complex network settings and network construction, and it will not increase labor costs, so that the overall cost of the lighting system can be further reduced. Therefore, the practicality of the lighting system can be greatly improved to meet the needs of actual applications.

[0016] (3) According to the content disclosed in the present invention, the processing module of the lighting device calculates the propagation distance of the first broadcast signal according to the signal strength of the first broadcast signal, and divides the propagation distance by the estimated speed to generate an estimated time length. The processing module uses the estimated time length as the length of the time window, and uses this time point as the starting point of the time window. The above-mentioned special estimated time length calculation mechanism and the time window generated based on this calculation mechanism can more effectively perform self-learning, so that the lighting device can correctly estimate the approaching moving object to provide the lighting function appropriately. Therefore, the performance of the lighting system can be greatly improved to meet various application requirements.

[0017] (4) According to the disclosure of the present invention, the lighting device can accurately detect moving objects and start in advance when the moving objects approach to provide appropriate lighting functions. In this way, the lighting device can be used not only in parking lots, but also in office buildings or other buildings. Therefore, the lighting device can be used more widely and more flexibly.

[0018] (5) According to the content disclosed by the present invention, the function of the lighting device can be used to realize various intelligent systems (such as intelligent parking system, intelligent home system, etc.). In this way, the lighting device can meet the needs of various intelligent applications and thus can meet the trend of future development. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a block diagram of a lighting device based on a self-learning lighting group control mechanism according to a first embodiment of the present invention.

[0020] Figure 2 It is a first schematic diagram of the operating status of the lighting device based on the self-learning lighting group control mechanism according to the first embodiment of the present invention.

[0021] Figure 3 It is a schematic diagram of the time window of the lighting device based on the self-learning lighting group control mechanism according to the first embodiment of the present invention.

[0022] Figure 4 It is a second schematic diagram of the operating status of the lighting device based on the self-learning lighting group control mechanism according to the first embodiment of the present invention.

[0023] Figure 5 is a schematic diagram of a lighting system according to a second embodiment of the present invention.

[0024] Figure 6 Flow chart of the self-learning lighting group control method according to the third embodiment of the present invention.

[0025] Figure 7 Flow chart of a self-learning lighting group control method according to a fourth embodiment of the present invention.

[0026] Description of reference numerals: 1. 1A~1K-lighting device; 11-detection module; 12-communication module; 13-processing module; 14-lighting module; 2-lighting system; Bs1-first broadcast signal; Bs2-second broadcast signal; Ds1-detection signal; Cs1-control signal; T1-time point; TW-time window; TL-estimated time length; MV-moving object; S61~S64, S71~S77-step process.

[0027] The detailed features and advantages of the present invention are described in detail in the following embodiments, and the contents are sufficient to enable anyone skilled in the relevant art to understand the technical content of the present invention and implement it accordingly. Moreover, according to the contents, claims and drawings disclosed in this specification, any person skilled in the relevant art can easily understand the purposes and advantages of the present creation. DETAILED DESCRIPTION

[0028] The following will refer to the relevant drawings to illustrate the embodiments of the lighting device and method based on the self-learning lighting group control mechanism according to the present invention. For the sake of clarity and convenience of the diagram description, the components in the drawings may be exaggerated or reduced in size and proportion. In the following description and / or claims, when it is mentioned that a component is "connected" or "coupled" to another component, it may be directly connected or coupled to the other component or there may be an intervening component; and when it is mentioned that a component is "directly connected" or "directly coupled" to another component, there is no intervening component, and other words used to describe the relationship between components or layers should be interpreted in the same way. For ease of understanding, the same components in the following embodiments are illustrated with the same symbols.

[0029] See also Figure 1 , which is a block diagram of a lighting device based on a self-learning lighting group control mechanism according to a first embodiment of the present invention. As shown in the figure, the lighting device 1 includes a detection module 11, a communication module 12, a processing module 13 and a lighting module 14. The processing module 13 is connected to the detection module 11, the communication module 12 and the lighting module 14. In one embodiment, the processing module 13 may be a microcontroller (MCU). In another embodiment, the processing module 13 may also be a central processing unit (CPU), an application-specific integrated circuit chip (ASIC), a field programmable gate array (FPGA) or other similar components. In one embodiment, the detection module 11 may be a microwave sensor. In another embodiment, the detection module 11 may also be an infrared sensor or other similar components. In one embodiment, the communication module 12 may be a Bluetooth module. In another embodiment, the communication module 12 may also be a WiFi module, a ZigBee module or other similar components. In one embodiment, the lighting module 14 may be a light emitting diode (LED). In another embodiment, the lighting module 14 may also be a light bulb, a fluorescent lamp or other similar components.

[0030] Of course, this embodiment is only used for illustration and does not limit the scope of the present invention. Equivalent modifications or changes made to the lighting device 1 based on the self-learning lighting group control mechanism of this embodiment should still be included in the patent scope of the present invention.

[0031] See also Figure 2 and Figure 3 . Figure 2 It is a first schematic diagram of the operating status of the lighting device based on the self-learning lighting group control mechanism according to the first embodiment of the present invention. Figure 3 FIG. 1 is a schematic diagram of a time window of a lighting device based on a self-learning lighting group control mechanism according to a first embodiment of the present invention. Figure 2As shown, the communication module 12 receives a first broadcast signal Bs1 having a first identifier, and transmits the first broadcast signal Bs1 to the processing module 13. The first broadcast signal Bs1 may be generated by another lighting device 1 after detecting a moving object MV.

[0032] The processing module 13 generates a time window TW and a learning item corresponding to the first broadcast signal Bs1 according to the time point T1 at which the first broadcast signal Bs1 is received and the signal strength of the first broadcast signal Bs1. Then, the processing module 13 can store the learning item.

[0033] The detection module 11 can detect a moving object MV (such as a person, a vehicle, etc.). When the detection module 11 detects a moving object MV within the time window TW, a detection signal Ds1 is generated and transmitted to the processing module 13. Then, the processing module 13 increases the memory depth of the learning item. For example, the processing module 13 increases the memory depth of the learning item by 1, which can be adjusted according to actual needs.

[0034] like Figure 3 As shown, after receiving the first broadcast signal Bs1, the processing module 13 will first determine whether the signal strength of the first broadcast signal Bs1 is greater than the preset learning threshold. When the signal strength of the first broadcast signal Bs1 is greater than the preset learning threshold, the processing module 13 will execute the learning step. The above-mentioned learning threshold can be adjusted according to actual needs, which is related to the number of lighting devices 1 in the group. If the processing module 13 determines that the signal strength of the first broadcast signal Bs1 is greater than the preset learning threshold, the processing module 13 generates a time window TW and generates a learning item based on the time point T1 when the first broadcast signal Bs1 is received and the signal strength of the first broadcast signal Bs1. The processing module 13 converts the signal strength of the first broadcast signal Bs1 into an estimated time length TL as the length of the time window TW, and uses this time point T1 as the starting point of the time window TW. Among them, the processing module 13 can calculate the propagation distance of the first broadcast signal Bs1 based on the attenuation of the signal strength of the first broadcast signal Bs1, and divide this propagation distance by the estimated speed to generate the above-mentioned estimated time length TL. In this embodiment, the above-mentioned estimated speed may be the moving speed of the car (such as 20 km / h, 15 km / h, 10 km / h, etc., which can be adjusted according to actual applications). In another embodiment, the above-mentioned estimated speed may also be the walking speed of a person (such as 3.2 km / h, 3.5 km / h, 5 km / h, 7 km / h, etc., which can be adjusted according to actual applications). In other words, the processing module 13 can determine whether the moving object MV is detected by the front lighting device 1 within the estimated time length TL.

[0035] The above learning steps can be automatically executed each time the processing module 13 receives the first broadcast signal Bs1. Then, the processing module 13 determines that the learning project is valid when the memory depth of the learning project exceeds the preset threshold value. In this way, the processing module 13 directly generates the control signal Cs1 to start the lighting module 14 when the communication module 12 receives the first broadcast signal Bs1 next time.

[0036] Through the above-mentioned lighting group control mechanism based on self-learning function, multiple lighting devices 1 can be automatically grouped without complicated network settings and network construction. Therefore, the installation cost of the lighting system 2 can be greatly reduced, making the lighting system 2 more in line with the needs of actual applications.

[0037] In addition, in this embodiment, the lighting device 1 has a lighting group control mechanism based on a self-learning function. The lighting group control mechanism based on a self-learning function can realize automatic grouping, so there is no need to perform complex network settings and network construction, and it will not increase labor costs, so that the overall cost of the lighting system 2 can be further reduced. Therefore, the practicality of the lighting system 2 can be greatly improved to meet the needs of actual applications.

[0038] In addition, in the present embodiment, the processing module 13 of the lighting device 1 calculates the propagation distance of the first broadcast signal Bs1 according to the signal strength of the first broadcast signal Bs1, and divides the propagation distance by the estimated speed to generate an estimated time length TL. The processing module 13 uses the estimated time length TL as the length of the time window TW, and uses the time point T1 as the starting point of the time window TW. The above-mentioned special estimated time length TL calculation mechanism and the time window TW generated based on this calculation mechanism can more effectively perform self-learning, so that the lighting device 1 can correctly estimate the approaching moving object MV to appropriately provide lighting functions. Therefore, the performance of the lighting system 2 can be greatly improved to meet various application requirements.

[0039] In addition, in this embodiment, the lighting device 1 can accurately detect the moving object MV and start in advance when the moving object MV approaches to provide a proper lighting function. In this way, the lighting device 1 can be applied not only to parking lots, but also to office buildings or other buildings. Therefore, the lighting device 1 can be applied more widely and more flexibly.

[0040] Furthermore, in this embodiment, the functions of the lighting device 1 can be used to implement various intelligent systems (such as intelligent parking systems, intelligent home systems, etc.). In this way, the lighting device 1 can meet the needs of various intelligent applications and thus conform to the trend of future development.

[0041] Of course, this embodiment is only used for illustration and does not limit the scope of the present invention. Equivalent modifications or changes made to the lighting device based on the self-learning lighting group control mechanism of this embodiment should still be included in the patent scope of the present invention.

[0042] See also Figure 4 , which is a second schematic diagram of the operating state of the lighting device based on the self-learning lighting group control mechanism of the first embodiment of the present invention. As shown in the figure, the detection module 11 detects the moving object MV and generates a detection signal Ds1, which is transmitted to the processing module 13. Then, the processing module 13 generates a control signal Cs1 to start the lighting module 14, and controls the communication module 12 to broadcast a second broadcast signal Bs2 with a second identifier. The second broadcast signal Bs2 can be received by other lighting devices 1 to perform the above-mentioned learning steps, thereby realizing the above-mentioned self-learning lighting group control mechanism.

[0043] Of course, this embodiment is only used for illustration and does not limit the scope of the present invention. Equivalent modifications or changes made to the lighting device based on the self-learning lighting group control mechanism of this embodiment should still be included in the patent scope of the present invention.

[0044] See also Figure 5 , which is a schematic diagram of a lighting system according to a second embodiment of the present invention. As shown in the figure, a lighting system 2 can be set in a parking lot and can include 10 lighting devices 1A~1K (the number of lighting devices 1A~1K is only an example and can be adjusted according to actual applications). Lighting devices 1A, 1B, and 1C can form a first group. Lighting devices 1D, 1E, 1F, and 1G can form a second group. Lighting devices 1I, 1J, and 1K can form a third group. Lighting devices 1B and 1C can perform the above-mentioned learning steps according to the broadcast signal of lighting device 1A. Lighting devices 1E, 1F, and 1G can perform the above-mentioned learning steps according to the broadcast signal of lighting device 1D. Lighting devices 1J and 1K can perform the above-mentioned learning steps according to the broadcast signal of lighting device 1I.

[0045] Taking the first group as an example, when the lighting device 1A detects a moving object MV, the lighting device 1A broadcasts a first broadcast signal Bs1 with a first identifier. When the lighting device 1B receives the first broadcast signal Bs1, the lighting device 1B determines whether the signal strength of the first broadcast signal Bs1 is greater than the preset learning threshold value. When the lighting device 1B determines that the signal strength of the first broadcast signal Bs1 is greater than the preset learning threshold value, the lighting device 1B generates a time window TW and generates a learning item according to the time point T1 when the first broadcast signal Bs1 is received and the signal strength of the first broadcast signal Bs1. When the lighting device 1B detects a moving object MV within the time window TW, the lighting device 1B adds 1 to the memory depth of this learning item. The lighting device 1B determines that the learning item is valid when the memory depth of this learning item exceeds the preset threshold value. In this way, the lighting device 1B is directly activated the next time the first broadcast signal Bs1 is received. The lighting device 1C also performs the same learning steps. The second group and the third group also perform the same steps.

[0046] In another embodiment, each of the lighting devices 1A-1K can perform a detection action and a learning step.

[0047] In this embodiment, through the lighting group control mechanism based on the self-learning function, multiple lighting devices 1 can be automatically grouped without complicated network settings and network construction. Therefore, the installation cost of the lighting system 2 can be greatly reduced, making the lighting system 2 more in line with the needs of actual applications.

[0048] In this embodiment, the lighting device 1 has a lighting group control mechanism based on a self-learning function. The lighting group control mechanism based on a self-learning function can realize automatic grouping, so there is no need to perform complex network settings and network construction, and it will not increase labor costs, so that the overall cost of the lighting system 2 can be further reduced. Therefore, the practicality of the lighting system 2 can be greatly improved to meet the needs of actual applications.

[0049] In addition, in the present embodiment, the processing module 13 of the lighting device 1 calculates the propagation distance of the first broadcast signal Bs1 according to the signal strength of the first broadcast signal Bs1, and divides the propagation distance by the estimated speed to generate an estimated time length TL. The processing module 13 uses the estimated time length TL as the length of the time window TW, and uses the time point T1 as the starting point of the time window TW. The above-mentioned special estimated time length calculation mechanism and the time window TW generated based on this calculation mechanism can more effectively perform self-learning, so that the lighting device 1 can correctly estimate the approaching moving object MV to appropriately provide lighting functions. Therefore, the performance of the lighting system 2 can be greatly improved to meet various application requirements.

[0050] In addition, in this embodiment, the lighting device 1 can accurately detect the moving object MV and start in advance when the moving object MV approaches to provide a proper lighting function. In this way, the lighting device 1 can be applied not only to parking lots, but also to office buildings or other buildings. Therefore, the lighting device 1 can be applied more widely and more flexibly.

[0051] Furthermore, in this embodiment, the functions of the lighting device 1 can be used to implement various intelligent systems (such as intelligent parking systems, intelligent home systems, etc.). In this way, the lighting device 1 can meet the needs of various intelligent applications and thus conform to the trend of future development.

[0052] Of course, this embodiment is only used for illustration rather than to limit the scope of the present invention, and equivalent modifications or changes made to the lighting system according to this embodiment should still be included in the patent scope of the present invention.

[0053] It is worth mentioning that the installation process of the existing lighting system with lighting group control function requires complex network settings and network construction, which greatly increases the overall cost of the lighting system 2. In addition, technicians need to perform group settings for each lighting device 1 of the lighting system 2, which will also consume a lot of manpower costs, further increasing the overall cost of the lighting system 2. In addition, the above-mentioned group settings need to be implemented through hardware switches (such as dial switches, etc.), so the number of groups may also be limited by the hardware switches, and the application of the lighting system 2 is greatly limited. In contrast, according to the first embodiment and the second embodiment of the present invention, the lighting device 1 includes a detection module 11, a communication module 12, a processing module 13 and a lighting module 14. The communication module 12 is used to receive a first broadcast signal Bs1 with a first identifier. The processing module 13 is connected to the detection module 11 and the communication module 12. The processing module 13 generates a time window TW and a learning item according to the time point T1 when the first broadcast signal Bs1 is received and the signal strength of the first broadcast signal Bs1, and increases the memory depth of the learning item when the detection module 11 detects a moving object MV within the time window TW. The processing module 13 determines that the learning project is valid when the memory depth of the learning project exceeds the preset threshold value, and activates the lighting module 14 when the communication module 12 receives the first broadcast signal Bs1 next time. Through the above-mentioned lighting group control mechanism based on the self-learning function, multiple lighting devices 1 can be automatically grouped without complicated network settings and network construction. Therefore, the installation cost of the lighting system 2 can be greatly reduced, so that the lighting system 2 can better meet the needs of practical applications.

[0054] Furthermore, according to the first and second embodiments of the present invention, the lighting device 1 has a lighting group control mechanism based on a self-learning function. The lighting group control mechanism based on a self-learning function can realize automatic grouping, so there is no need to perform complex network settings and network construction, and it will not increase labor costs, so that the overall cost of the lighting system 2 can be further reduced. Therefore, the practicality of the lighting system 2 can be greatly improved to meet the needs of actual applications.

[0055] In addition, according to the first embodiment and the second embodiment of the present invention, the processing module 13 of the lighting device 1 calculates the propagation distance of the first broadcast signal Bs1 according to the signal strength of the first broadcast signal Bs1, and divides the propagation distance by the estimated speed to generate an estimated time length TL. The processing module 13 uses the estimated time length TL as the length of the time window TW, and uses the time point T1 as the starting point of the time window TW. The above-mentioned special estimated time length TL calculation mechanism and the time window TW generated based on this calculation mechanism can more effectively perform self-learning, so that the lighting device 1 can correctly estimate the approaching moving object MV to appropriately provide lighting functions. Therefore, the performance of the lighting system 2 can be greatly improved to meet various application requirements.

[0056] In addition, according to the first and second embodiments of the present invention, the lighting device 1 can accurately detect the moving object MV and start in advance when the moving object MV approaches to provide a proper lighting function. In this way, the lighting device 1 can be applied not only to parking lots, but also to office buildings or other buildings. Therefore, the lighting device 1 can be applied more widely and more flexibly.

[0057] Furthermore, according to the first and second embodiments of the present invention, the functions of the lighting device 1 can be used to realize various intelligent systems (such as intelligent parking systems, intelligent home systems, etc.). In this way, the lighting device 1 can meet the needs of various intelligent applications, so it can meet the trend of future development. From the above, it can be seen that the lighting device 1 based on the self-learning lighting group control mechanism according to the embodiment of the present invention can indeed achieve excellent technical effects.

[0058] See also Figure 6 , which is a flow chart of the self-learning lighting group control method of the third embodiment of the present invention. As shown in the figure, the self-learning lighting group control method of this embodiment includes the following steps: Step S61: Receive a first broadcast signal Bs1 having a first identifier.

[0059] Step S62: Generate a time window TW according to the time point T1 when the first broadcast signal Bs1 is received and the signal strength of the first broadcast signal Bs1.

[0060] Step S63: Generate a learning project.

[0061] Step S64: increasing the memory depth of the learning item when a moving object MV is detected within the time window TW.

[0062] Of course, this embodiment is only used for illustration and does not limit the scope of the present invention. Equivalent modifications or changes made according to the self-learning lighting group control method of this embodiment should still be included in the patent scope of the present invention.

[0063] Although the steps of the method described in the present invention are shown and described in a particular order, the order of operation of each method can be changed, and some steps can be performed in a reverse order, or some steps are also performed simultaneously with other steps. In another embodiment, different steps can be implemented in an intermittent and / or alternating manner.

[0064] See also Figure 7 , which is a flow chart of a self-learning lighting group control method according to a fourth embodiment of the present invention. As shown in the figure, the self-learning lighting group control method according to this embodiment includes the following steps: Step S71: Receive a first broadcast signal Bs1 having a first identifier.

[0065] Step S72: Calculate the propagation distance of the first broadcast signal Bs1 according to the signal strength of the first broadcast signal Bs1.

[0066] Step S73: Divide the propagation distance by the estimated speed to generate an estimated time length TL as the length of the time window TW, and use the time point T1 when the first broadcast signal Bs1 is received as the starting point of the time window TW to generate the time window TW.

[0067] Step S74: Generate a learning project.

[0068] Step S75: When a moving object MV is detected within the time window TW, the memory depth of the learning item is increased.

[0069] Step S76: When the memory depth of the learning item exceeds a preset threshold, the learning item is determined to be valid.

[0070] Step S77: Start the lighting module 14 when the first broadcast signal Bs1 is received next time.

[0071] Of course, this embodiment is only used for illustration and does not limit the scope of the present invention. Equivalent modifications or changes made according to the self-learning lighting group control method of this embodiment should still be included in the patent scope of the present invention.

[0072] Although the steps of the method described in the present invention are shown and described in a particular order, the order of operation of each method can be changed, and some steps can be performed in a reverse order, or some steps are also performed simultaneously with other steps. In another embodiment, different steps can be implemented in an intermittent and / or alternating manner.

[0073] In summary, according to the first, second, third and fourth embodiments of the present invention, the lighting device 1 includes a detection module 11, a communication module 12, a processing module 13 and a lighting module 14. The communication module 12 is used to receive a first broadcast signal Bs1 having a first identifier. The processing module 13 is connected to the detection module 11 and the communication module 12. The processing module 13 generates a time window TW and a learning item according to the time point T1 at which the first broadcast signal Bs1 is received and the signal strength of the first broadcast signal Bs1, and increases the memory depth of the learning item when the detection module 11 detects a moving object MV within the time window TW. The processing module 13 determines that the learning item is valid when the memory depth of the learning item exceeds a preset threshold value, and activates the lighting module 14 when the communication module 12 receives the first broadcast signal Bs1 next time. Through the above-mentioned lighting group control mechanism based on the self-learning function, multiple lighting devices 1 can be automatically grouped without the need for complex network settings and network construction. Therefore, the installation cost of the lighting system 2 can be greatly reduced, so that the lighting system 2 can better meet the needs of practical applications.

[0074] Furthermore, according to the first, second, third and fourth embodiments of the present invention, the lighting device 1 has a lighting group control mechanism based on a self-learning function. The lighting group control mechanism based on a self-learning function can realize automatic grouping, so there is no need to perform complex network settings and network construction, and it will not increase labor costs, so that the overall cost of the lighting system 2 can be further reduced. Therefore, the practicality of the lighting system 2 can be greatly improved to meet the needs of actual applications.

[0075] In addition, according to the first embodiment, the second embodiment, the third embodiment and the fourth embodiment of the present invention, the processing module 13 of the lighting device 1 calculates the propagation distance of the first broadcast signal Bs1 according to the signal strength of the first broadcast signal Bs1, and divides the propagation distance by the estimated speed to generate an estimated time length TL. The processing module 13 uses the estimated time length TL as the length of the time window TW, and uses the time point T1 as the starting point of the time window TW. The above-mentioned special estimated time length TL calculation mechanism and the time window TW generated based on this calculation mechanism can more effectively perform self-learning, so that the lighting device 1 can correctly estimate the approaching moving object MV to appropriately provide lighting functions. Therefore, the performance of the lighting system 2 can be greatly improved to meet various application requirements.

[0076] In addition, according to the first, second, third and fourth embodiments of the present invention, the lighting device 1 can accurately detect the moving object MV and start in advance when the moving object MV approaches to provide a proper lighting function. In this way, the lighting device 1 can be applied not only to parking lots, but also to office buildings or other buildings. Therefore, the lighting device 1 can be applied more widely and more flexibly.

[0077] Furthermore, according to the first, second, third and fourth embodiments of the present invention, the functions of the lighting device 1 can be used to implement various intelligent systems (such as intelligent parking systems, intelligent home systems, etc.). In this way, the lighting device 1 can meet the needs of various intelligent applications and thus can meet the trend of future development.

[0078] It should be noted that, although the above embodiments have been described in this article, the scope of patent protection of the present invention is not limited thereby. Therefore, based on the innovative concept of the present invention, changes and modifications made to the embodiments described herein, or equivalent structures or equivalent process changes made using the contents of the present specification and drawings, directly or indirectly applying the above technical solutions to other related technical fields are all included in the scope of protection of the patent of the present invention.

Claims

1. A lighting device based on a self-learning lighting group control mechanism, characterized in that: include: Detection module; A communication module, configured to receive a first broadcast signal having a first identifier; as well as A processing module connected to the detection module and the communication module; wherein the processing module is used to generate a time window and a learning item according to a time point when the first broadcast signal is received and a signal strength of the first broadcast signal, and to increase a memory depth of the learning item when the detection module detects a moving object within the time window; It also includes a lighting module. The processing module determines that the learning project is valid when the memory depth of the learning project exceeds a preset threshold value. The processing module starts the lighting module when the communication module receives the first broadcast signal next time.

2. The lighting device based on the self-learning lighting group control mechanism according to claim 1, characterized in that: The processing module converts the signal strength of the first broadcast signal into an estimated time length as the length of the time window, and uses the time point as the starting point of the time window.

3. The lighting device based on the self-learning lighting group control mechanism according to claim 2, characterized in that: The processing module calculates a propagation distance of the first broadcast signal according to a signal strength of the first broadcast signal, and divides the propagation distance by an estimated speed to generate the estimated time length.

4. The lighting device based on the self-learning lighting group control mechanism according to claim 1, characterized in that: It also includes a lighting module. The processing module determines that the learning project is valid when the memory depth of the learning project exceeds a preset threshold value. The processing module starts the lighting module when the communication module receives the first broadcast signal next time.

5. A self-learning lighting group control method, characterized in that: include: receiving a first broadcast signal having a first identifier; generating a time window according to a time point at which the first broadcast signal is received and a signal strength of the first broadcast signal; Produce learning projects; as well as increasing the memory depth of the learning item when a moving object is detected within the time window; It also includes: judging that the learning project is valid when the memory depth of the learning project exceeds a preset threshold value; as well as The lighting module is started when the first broadcast signal is received next time.

6. The self-learning lighting group control method according to claim 5, characterized in that: The step of generating the time window according to the time point at which the first broadcast signal is received and the signal strength of the first broadcast signal also includes: converting the signal strength of the first broadcast signal into an estimated time length as the length of the time window; and The time point is taken as the starting point of the time window.

7. The self-learning lighting group control method according to claim 6, characterized in that: The step of converting the signal strength of the first broadcast signal into the estimated time length as the length of the time window also includes: calculating a propagation distance of the first broadcast signal according to a signal strength of the first broadcast signal; and The propagation distance is divided by the estimated speed to produce the estimated length of time.

8. The self-learning lighting group control method according to claim 5, characterized in that: Also includes: broadcasting a second broadcast signal having a second identifier upon detecting the mobile object or another mobile object; as well as Activate the lighting module.

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