Bluetooth underwater lamp control system based on power line carrier

Abstract

The invention discloses a Bluetooth underwater lamp control system based on power line carrier waves, relates to the technical field of Bluetooth underwater lamps, and solves the problem that different types of interference sources such as power frequency harmonic interference and electromagnetic interference, multipath interference and the like cannot be accurately distinguished. According to the method, a calibration method of standard waveform generation-multi-position translation comparison-optimal coincidence ratio screening is adopted, non-coincident clutter bands of associated waveforms and standard waveforms are extracted, and accurate calculation of clutter frequencies is combined, so that power frequency harmonic interference and other types of interference can be accurately distinguished; the alarm signal is directly output for power frequency interference, and the frequency debugging process is triggered for non-power frequency interference, so that the limitation of a traditional one-cut anti-interference scheme is avoided, and the pertinence and efficiency of interference processing are improved.

Description

Technical Field

[0001] This invention relates to the field of Bluetooth underwater light technology, specifically a Bluetooth underwater light control system based on power line carrier. Background Technology

[0002] With the increasing demand for underwater landscape lighting, intelligent pool lighting, and other scenarios, Bluetooth underwater light control systems based on power line carriers are gradually becoming the mainstream choice to replace traditional wireless control solutions due to their advantages of "integrated power supply and communication, and no need for additional wiring".

[0003] However, in practical applications, existing power line carrier underwater light control systems still face technical challenges such as ambiguous control delay determination, inaccurate interference type identification, and low anti-interference debugging efficiency, which seriously affect the control stability and engineering practicality of the system.

[0004] Existing interference troubleshooting methods mostly rely on manual waveform observation using oscilloscopes and spectrum analyzers. This requires manually comparing the differences between standard waveforms and actual waveforms to identify clutter, which is not only cumbersome and requires high professional skills, but also cannot accurately distinguish between different types of interference sources such as power frequency harmonic interference, electromagnetic interference, and multipath interference. At the same time, interference handling solutions mostly adopt the "fixed filtering + single channel" mode, lacking an adaptive frequency adjustment mechanism. When the interference frequency and carrier frequency spectrum overlap, traditional filtering methods are difficult to use, and the carrier signal is easily overwhelmed by clutter, causing lamps to malfunction or even go out of control.

[0005] Furthermore, the existing system's monitoring, verification, and debugging modules are independent of each other and do not form a closed-loop linkage mechanism. Control delay faults and signal interference faults cannot be correlated and analyzed, often resulting in the drawback of "only solving the surface delay problem without eradicating the root cause of interference." This leads to weak anti-interference capabilities, high maintenance costs, and difficulty in adapting to the needs of actual engineering scenarios such as multi-lamp networking and complex underwater electromagnetic environments.

[0006] Therefore, there is an urgent need to develop an integrated control system that can achieve quantitative monitoring of the control process, accurate identification of interference types, and adaptive frequency adjustment, in order to overcome the shortcomings of existing technologies and improve the stability and practicality of the power line carrier Bluetooth underwater light control system. Summary of the Invention

[0007] To address the shortcomings of existing technologies, this invention provides a Bluetooth underwater light control system based on power line carrier, which solves the problem of not being able to accurately distinguish between different types of interference sources such as power frequency harmonic interference, electromagnetic interference, and multipath interference.

[0008] To achieve the above objectives, the present invention provides the following technical solution: a Bluetooth underwater light control system based on power line carrier wave, comprising: The control feature monitoring terminal monitors the control process of the Bluetooth underwater light, identifies the time difference between the control signal transmission time and the Bluetooth underwater light feedback time, determines whether the Bluetooth underwater light feedback meets the standard, and performs waveform verification based on the determination result. The specific method is as follows: The timing of the control signal transmission and the feedback timing of the Bluetooth underwater light are determined. The time difference between the two determined times is identified and compared with the preset value Y1. If the time difference is ≤ Y1, it means that the control process feedback is timely and no debugging is required. If the time difference is > Y1, it means that the control process feedback is delayed and subsequent debugging is required. Y1 is the preset value. The waveform feature verification end uses an oscilloscope to identify the waveforms associated with the control signal during the control process of the Bluetooth underwater light. Based on the amplitude and frequency set by the control signal, a standard waveform associated with the control signal is generated. The associated waveform is then compared with certain waveform segments within the standard waveform for waveform verification. The optimal verification process is selected, specifically as follows: Based on the frequency set by the control signal, the change period associated with the control signal is confirmed. The change period = 1 ÷ frequency. Based on the confirmed change period and the set amplitude, a standard waveform of the control signal is generated in the spectrum. Identify the duration T of the associated waveform. Select a related waveform segment with a duration of 1.5T within the generated standard waveform and record it as the waveform to be determined. Verify and compare the associated waveform and the waveform to be determined: place the associated waveform and the waveform to be determined within the same set of spectrograms, and translate the associated waveform so that the two sets of times associated with the initial endpoint of the associated waveform and the initial endpoint of the waveform to be the same time. Then execute several translation processes to move the associated waveform gradually backward until the two sets of times associated with the end endpoint of the associated waveform and the end endpoint of the waveform to be the same time. Stop when the two sets of times associated with the end endpoint of the associated waveform and the end endpoint of the waveform to be the same time. Identify the band similarity associated with each translation process from the several translation processes executed, confirm the overlapping segments associated with the associated waveform and the waveform to be determined, and record the line length ratio of the overlapping segments in the associated waveform. Record the recorded line length ratio as the band similarity of the corresponding translation process. From the similarity of different bands associated with different translation processing processes, the maximum value is selected, and the translation processing process associated with the maximum value is recorded as the optimal verification process. The position between the associated waveform and the waveform to be determined is also recorded. The associated clutter analysis end extracts the associated clutter segments that do not overlap with the standard waveform from the selected optimal verification process. It then identifies the associated frequencies from these clutter segments and, combined with the original power frequency within the Bluetooth underwater light, determines whether the Bluetooth underwater light experiences power frequency interference. The specific method is as follows: The process extracts non-overlapping related clutter between the associated waveform and the waveform to be determined from the optimal verification process. It extracts the peak points from the related clutter, with the peak point before the peak point being the front point and the peak point after the peak point being the back point. The wave trend from the front point to the peak point is upward, and the wave trend from the peak point to the back point is downward. Based on the peak points extracted from the related clutter, it identifies whether there are zero points in the subsequent clutter duration. If there are, the wave segment between the peak point and the zero point is recorded as the frequency to be confirmed segment. If there are no, other peak points are subsequently confirmed until there are zero points in the subsequent clutter duration segment of the peak point. From the marked frequency segment to be confirmed, confirm the interval between the zero point and the corresponding peak point, and use: 1 ÷ (4 × interval duration) = confirmed frequency to lock the confirmed frequency associated with the frequency segment to be confirmed, and denot it as P. i , where i represents different frequency segments to be confirmed; The original power frequency inside the Bluetooth underwater light is denoted as G. k Where k represents different power frequency terminals, and uses: (G k ×n)=X k Identify the harmonic frequencies, where n is a positive integer, and determine the associated identification frequency P. i If the interference signal exists in the confirmed harmonic frequency, the power frequency interference signal will be output directly through the signal output terminal. If it does not exist, the frequency debugging processing terminal will be executed directly to adjust the control frequency associated with the Bluetooth underwater light in real time. On the frequency tuning processing end, for Bluetooth underwater lights without power frequency interference, adaptive tuning processing is performed on the control frequency associated with the Bluetooth underwater light control signal. During the tuning process, the optimal verification process of the associated waveform is recorded. The optimal control frequency is confirmed and executed from different optimal verification processes. Specifically: Confirm the control frequency PL associated with the Bluetooth underwater light control signal, and generate a debugging range based on the confirmed control frequency PL. The numerical range of the debugging range is [PL-10%PL, PL+10%PL]. Select different control frequencies from the numerical range to send control signals. Record the control frequencies whose duration difference between the control signal sending time and the Bluetooth underwater light feedback time meets the standard as candidate frequencies. Then, using the same processing method as the waveform feature verification segment to confirm the optimal verification process, the optimal verification process associated with each candidate frequency is confirmed, and the band similarity associated with the optimal verification process is recorded as the candidate feature of the corresponding candidate frequency. The maximum value is selected from different candidate features, and the candidate frequency associated with the maximum value is recorded as the optimal control frequency and executed.

[0009] This invention provides a Bluetooth underwater light control system based on power line carrier wave. Compared with the prior art, it has the following advantages: This invention employs a verification method of "standard waveform generation - multi-position translation comparison - optimal overlap screening". By extracting the non-overlapping clutter bands of the associated waveform and the standard waveform, and combining the accurate calculation of clutter frequency, it can accurately distinguish between power frequency harmonic interference and other types of interference. For power frequency interference, it directly outputs an alarm signal, and for non-power frequency interference, it triggers a frequency adjustment process, avoiding the limitations of the traditional "one-size-fits-all" anti-interference scheme and improving the targeting and efficiency of interference processing. By gradually expanding the debugging range based on the floating range of the control frequency, and selecting the optimal control frequency by combining the band similarity of each candidate frequency, the spectrum overlap with the interference frequency can be actively avoided, thereby reducing the impact of interference on the carrier signal from the root. This debugging mechanism does not require manual intervention and can automatically optimize the control frequency parameters according to the on-site interference environment. Even in scenarios with multiple lamp loads and complex external electromagnetic interference, it can ensure a low bit error rate of carrier communication and the stability of lamp control. Attached Figure Description

[0010] Figure 1 This is a schematic diagram of the principle framework of the present invention. Detailed Implementation

[0011] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0012] First Embodiment Please see Figure 1 This application provides a Bluetooth underwater light control system based on power line carrier, including a control feature monitoring terminal, a waveform feature verification terminal, a correlation clutter analysis terminal, a signal output terminal, and a frequency tuning and processing terminal. The control feature monitoring terminal is electrically connected to the input node of the waveform feature verification terminal. The waveform feature verification terminal, the correlation clutter analysis terminal, and the frequency tuning and processing terminal are electrically connected sequentially from the output node to the input node. The correlation clutter analysis terminal and the signal output terminal are electrically connected from the output node to the input node. The control feature monitoring terminal monitors the control process associated with the Bluetooth underwater light, identifies the time difference between the control signal transmission time and the Bluetooth underwater light feedback time, determines whether the Bluetooth underwater light feedback meets the standard, and performs waveform verification based on the determination result. The specific method for identifying the determination result is as follows: The timing of the control signal transmission and the feedback timing of the Bluetooth underwater light are determined. The time difference between the two determined times is identified and compared with the preset value Y1. If the time difference is ≤ Y1, it means that the control process feedback is timely and no debugging is required. If the time difference is > Y1, it means that the control process feedback is delayed and subsequent debugging is required. Y1 is a preset value, and its specific value is determined by the operator based on experience. Generally, the set value range is between 100ms and 300ms.

[0013] The waveform feature verification end uses an oscilloscope to identify the associated waveforms of the Bluetooth underwater light with respect to the control signal during the control process. Based on the amplitude and frequency set by the control signal, a standard waveform associated with the control signal is generated. The associated waveform and some waveform segments within the standard waveform are verified to select the optimal verification process. The optimal verification process means that the overlap between the associated waveform and the standard waveform is at its best, which facilitates the extraction of noise from the associated waveform and the identification of the relevant characteristics of the noise. The specific cause of interference in the light is then assessed. If it is power frequency interference, the signal can be output directly. If it is other interference, the frequency is adjusted to minimize the interference. The specific method for verifying the waveform between the associated waveform and the standard waveform is as follows: Based on the frequency set by the control signal, the change period associated with the control signal is confirmed. The change period = 1 ÷ frequency. The period and frequency are inversely related. Based on the confirmed change period and the set amplitude, a standard waveform of the control signal is generated in the spectrum (the change period of the standard waveform is the confirmed change period, and the absolute values ​​of its maximum and minimum amplitudes are the set amplitudes). Identify the duration T of the associated waveform (i.e., the specific time associated from the start of the control moment to the end of the feedback moment). Select a related waveform segment with a time length of 1.5T within the generated standard waveform and record it as the undetermined waveform. Then, verify and compare the associated waveform with the undetermined waveform: place the associated waveform and the undetermined waveform in the same set of spectrum diagrams, and shift the associated waveform so that the two sets of times associated with the initial endpoints of both the associated waveform and the undetermined waveform belong to the same time (i.e., the first endpoints of the two waveforms belong to the same time). Then, perform several shifting processes to gradually... Move backward until the two sets of times associated with the end point of the associated waveform and the end point of the waveform to be determined are the same time. From the several translation processing processes executed (the time difference between different translation processing processes is one unit time, and the unit time is a preset time, which can be directly identified and confirmed from the specific spectrum diagram), identify the band similarity associated with each translation processing process, confirm the overlapping segment associated with the associated waveform and the waveform to be determined, and record the line length ratio of the overlapping segment in the associated waveform. Record the recorded line length ratio as the band similarity of the corresponding translation processing process. From the similarity of different bands associated with different translation processing processes, the maximum value is selected, and the translation processing process associated with the maximum value is recorded as the optimal verification process. The position between the associated waveform and the waveform to be determined is also recorded. Specifically, each different translation process is associated with a different overlap position. When two waveforms are located at different positions, there are different overlap processes. When the overlap segment accounts for the largest proportion in a certain overlap process, the associated overall band is in the optimal overlap state. In the subsequent clutter confirmation process, clutter confirmation is performed from the maximum similarity state. The clutter waveforms existing in the corresponding spectrum are extracted, and the relevant frequencies associated with the clutter are identified from the extracted clutter waveforms. Based on the extracted relevant frequencies, the power frequency in this circuit is checked and verified to identify whether the corresponding signal interference is power frequency interference. Power frequency interference refers to the harmonic frequencies generated by power adapters, gateways, switching power supplies, etc. during startup or operation. Such frequencies will interfere with the control process.

[0014] The associated clutter analysis unit extracts the associated clutter segments that do not overlap with the standard waveform from the selected optimal verification process. It then identifies the associated frequencies from these clutter segments and, combined with the original power frequency within the Bluetooth underwater light, determines whether the Bluetooth underwater light experiences power frequency interference. The specific identification method is as follows: The process extracts non-overlapping related clutter between the associated waveform and the waveform to be determined from the optimal verification process. Peaks are extracted from the related clutter, with the peaks preceding and following them designated as "front points" and "back points." The band trend from the front point to the peak is upward, and the band trend from the peak to the back point is downward. Based on the extracted peaks within the related clutter, the process identifies whether a zero-value point (i.e., a point with an amplitude of 0) exists in the subsequent clutter duration. If it exists, the band between the peak and the zero-value point is recorded as a frequency confirmation segment. If it does not exist, other peaks are subsequently confirmed until a zero-value point exists within the subsequent clutter duration (i.e., the band between the peak and the zero-value point belongs to a clutter segment and is in a continuous state). From the marked frequency segment to be confirmed, confirm the interval between the zero point and the corresponding peak point, and use: 1 ÷ (4 × interval duration) = confirmed frequency to lock the confirmed frequency associated with the frequency segment to be confirmed, and denot it as P. i , where i represents different frequency segments to be confirmed; The original power frequency inside the Bluetooth underwater light is denoted as G. k Where k represents different power frequency terminals, and uses: (G k ×n)=X k Identify the harmonic frequencies, where n is a positive integer, and determine the associated identification frequency P. i If the interference exists in the confirmed harmonic frequency, the power frequency interference signal will be output directly through the signal output terminal. If it does not exist, the frequency adjustment processing terminal will be executed directly to adjust the control frequency associated with the Bluetooth underwater light in real time. During the control process of the Bluetooth underwater light, there may be other signal interference, so frequency adjustment is required.

[0015] Second Embodiment In the specific implementation process of this embodiment, compared with the above embodiment, this embodiment mainly focuses on the specific debugging process of the frequency corresponding to the Bluetooth underwater light control signal, and its specific execution end is the frequency debugging processing end; Among them, the frequency debugging processing end performs adaptive debugging processing on the control frequency associated with the Bluetooth underwater light control signal, and records the optimal verification process of the associated waveform during the debugging process, confirms the optimal control frequency from different optimal verification processes and executes it. The specific method for confirming the optimal control frequency is as follows: Confirm the control frequency PL associated with the Bluetooth underwater light control signal, and generate a debugging range based on the confirmed control frequency PL. The numerical range of the debugging range is [PL-10%PL, PL+10%PL]. Select different control frequencies sequentially from the numerical range to send control signals (the different frequencies differ by one Hz). Record the control frequencies whose duration difference between the control signal sending time and the Bluetooth underwater light feedback time meets the standard as candidate frequencies. Then, using the same processing method as the waveform feature verification segment to confirm the optimal verification process, the optimal verification process associated with each candidate frequency is confirmed, and the band similarity associated with the optimal verification process is recorded as the candidate feature of the corresponding candidate frequency. The maximum value is selected from the different candidate features, and the candidate frequency associated with the maximum value is recorded as the optimal control frequency and executed. If there is only one set of candidate frequencies, it can be directly used as the optimal control frequency. If there are multiple sets of candidate frequencies, the process of selecting the optimal control frequency is carried out by confirming the candidate features. If there is no set of candidate frequencies, the numerical range of the debugging interval is expanded, and the original 10% is adjusted to 20%, and so on, gradually expanding the numerical range associated with the debugging interval.

[0016] Some of the data in the above formulas are numerical calculations with dimensions removed, and the contents not described in detail in this specification are all prior art known to those skilled in the art.

[0017] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. A Bluetooth underwater light control system based on power line carrier, characterized in that, include: The control feature monitoring terminal monitors the control process of the Bluetooth underwater light, identifies the time difference between the time the control signal is issued and the time the Bluetooth underwater light responds, determines whether the Bluetooth underwater light's feedback meets the standard, and performs waveform verification based on the determination result. The waveform feature verification end uses an oscilloscope to identify the waveforms associated with the control signal of the Bluetooth underwater light during the control process. Based on the amplitude and frequency set by the control signal, it generates a standard waveform associated with the control signal, verifies the waveform segments within the associated waveform and standard waveform, and selects the optimal verification process. The associated clutter analysis end extracts the associated clutter that does not overlap with the standard waveform from the selected optimal verification process, then confirms the associated frequencies from the associated clutter, and then, combined with the original power frequency inside the Bluetooth underwater light, identifies whether the Bluetooth underwater light has power frequency interference. The frequency debugging processing end performs adaptive debugging processing on the control frequency associated with the Bluetooth underwater light control signal for Bluetooth underwater lights that do not have power frequency interference. During the debugging process, the optimal verification process of the associated waveform is recorded, and the optimal control frequency is confirmed and executed from different optimal verification processes.

2. The Bluetooth underwater light control system based on power line carrier as described in claim 1, characterized in that, The specific method for identifying and determining the results by the control feature monitoring terminal is as follows: The timing of the control signal transmission and the feedback timing of the Bluetooth underwater light are determined. The time difference between the two determined times is identified and compared with the preset value Y1. If the time difference is ≤ Y1, it means that the control process feedback is timely and no debugging is required. If the time difference is > Y1, it means that the control process feedback is delayed and subsequent debugging is required. Y1 is the preset value.

3. The Bluetooth underwater light control system based on power line carrier as described in claim 1, characterized in that, The waveform feature verification terminal performs waveform verification between the associated waveform and the standard waveform in the following specific way: Based on the frequency set by the control signal, the change period associated with the control signal is confirmed. The change period = 1 ÷ frequency. Based on the confirmed change period and the set amplitude, a standard waveform of the control signal is generated in the spectrum. Identify the duration T of the associated waveform. Select a related waveform segment with a duration of 1.5T within the generated standard waveform and record it as the waveform to be determined. Verify and compare the associated waveform and the waveform to be determined: place the associated waveform and the waveform to be determined within the same set of spectrograms, and translate the associated waveform so that the two sets of times associated with the initial endpoint of the associated waveform and the initial endpoint of the waveform to be the same time. Then execute several translation processes to move the associated waveform gradually backward until the two sets of times associated with the end endpoint of the associated waveform and the end endpoint of the waveform to be the same time. Stop when the two sets of times associated with the end endpoint of the associated waveform and the end endpoint of the waveform to be the same time. Identify the band similarity associated with each translation process from the several translation processes executed, confirm the overlapping segments associated with the associated waveform and the waveform to be determined, and record the line length ratio of the overlapping segments in the associated waveform. Record the recorded line length ratio as the band similarity of the corresponding translation process. Then, from the similarity of different bands associated with different translation processing processes, the maximum value is selected, and the translation processing process associated with the maximum value is recorded as the optimal verification process. The position between the associated waveform and the waveform to be determined is also recorded.

4. A Bluetooth underwater light control system based on power line carrier as described in claim 3, characterized in that, The specific method by which the associated clutter analysis terminal identifies whether a Bluetooth underwater light is subject to power frequency interference is as follows: The process extracts non-overlapping related clutter between the associated waveform and the waveform to be determined from the optimal verification process. It extracts the peak points from the related clutter, with the peak point before the peak point being the front point and the peak point after the peak point being the back point. The wave trend from the front point to the peak point is upward, and the wave trend from the peak point to the back point is downward. Based on the peak points extracted from the related clutter, it identifies whether there are zero points in the subsequent clutter duration. If there are, the wave segment between the peak point and the zero point is recorded as the frequency to be confirmed segment. If there are no, other peak points are subsequently confirmed until there are zero points in the subsequent clutter duration segment of the peak point. From the marked frequency segment to be confirmed, confirm the interval between the zero point and the corresponding peak point, and use: 1 ÷ (4 × interval duration) = confirmed frequency to lock the confirmed frequency associated with the frequency segment to be confirmed, and denot it as P. i , where i represents different frequency segments to be confirmed; The original power frequency inside the Bluetooth underwater light is denoted as G. k Where k represents different power frequency terminals, and uses: (G k ×n)=X k Identify the harmonic frequencies, where n is a positive integer, and determine the associated identification frequency P. i If the interference exists in the identified harmonic frequencies, then the power frequency interference signal is directly output through the signal output terminal.

5. A Bluetooth underwater light control system based on power line carrier as described in claim 4, characterized in that, If the associated confirmation frequency P i If the frequency does not exist in the confirmed harmonic frequency, the frequency adjustment processing terminal is directly executed to adjust the control frequency associated with the Bluetooth underwater light in real time.

6. A Bluetooth underwater light control system based on power line carrier as described in claim 5, characterized in that, The frequency tuning processing terminal confirms the optimal control frequency in the following specific way: Confirm the control frequency PL associated with the Bluetooth underwater light control signal, and generate a debugging range based on the confirmed control frequency PL. The numerical range of the debugging range is [PL-10%PL, PL+10%PL]. Select different control frequencies from the numerical range to send control signals. Record the control frequencies whose duration difference between the control signal sending time and the Bluetooth underwater light feedback time meets the standard as candidate frequencies. Then, using the same processing method as the waveform feature verification segment to confirm the optimal verification process, the optimal verification process associated with each candidate frequency is confirmed, and the band similarity associated with the optimal verification process is recorded as the candidate feature of the corresponding candidate frequency. The maximum value is selected from the different candidate features, and the candidate frequency associated with the maximum value is recorded as the optimal control frequency and executed.

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