Power line carrier type LED power supply remote control system and method

Abstract

The invention discloses a power line carrier type LED power supply remote control system and method, and the method comprises the steps: collecting the current waveform, voltage fluctuation and ambient light intensity data of an LED lamp in real time through a detection unit disposed at each LED lamp, and generating a standardized feature data set; inputting the feature data set into an RTU control terminal, selecting a high-speed transmission mode or a compression transmission mode, and generating an optimized carrier data packet; uploading the optimized carrier data packet to a system software layer, and generating an optimized instruction set; the RTU control terminal compiles an operation instruction based on a real-time power grid state, and an anti-interference instruction stream is generated after a carrier error correction code is injected; an anti-interference instruction stream is issued to a dimming controller through a power line carrier, voltage / current transient response is collected after dimming operation is executed, the actual brightness deviation rate is calculated, and if the deviation rate exceeds a threshold value, self-adaptive PID calibration is triggered; dynamic closed-loop intelligent control of predictive maintenance, adaptive dimming and anti-interference transmission in a power line carrier environment is realized, and the dimming accuracy is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of LED control, in particular to a power carrier type LED power remote control system and method. BACKGROUND

[0002] As a core component of smart city infrastructure, the power carrier type LED street light control system has been widely used in urban trunk roads, park lighting and tunnel lighting scenes. The system uses existing power lines for data transmission, avoiding the deployment cost of additional communication lines, and is particularly suitable for centralized management and control of large-scale distributed street light networks. With the increasing penetration rate of LED street lights, the industry urgently needs to solve the problems of real-time dimming accuracy, active fault warning and communication reliability under a large number of nodes to meet the core needs of smart lighting "fine management + low operation and maintenance cost".

[0003] The current existing scheme adopts a fixed cycle polling mechanism to realize command issuing and state feedback through GPRS and power carrier two-level transmission. The core defect is the strong coupling of communication quality and control accuracy: the inherent harmonic interference, load fluctuation and impedance mutation of the power line will cause the attenuation of the carrier signal, causing transmission errors. The existing technology only compromises by increasing the number of retransmissions or reducing the sampling frequency, causing two major problems: dimming out of control, with high actual brightness deviation rate due to command loss or distortion; operation and maintenance lag, with long average response delay from capacitor failure to lamp extinguishing for fault detection relying on fixed cycle query.

[0004] In view of this, there is a need to solve the technical problem of low dimming accuracy caused by communication quality fluctuations and fault response lag in the existing power control technology. SUMMARY

[0005] The purpose of the present application is to provide a power carrier type LED power remote control system and method to solve the above technical problems.

[0006] To achieve this purpose, the present application adopts the following technical solutions: A power carrier type LED power remote control method, comprising the following steps: S1, through the detection unit deployed on each LED lamp, real-time acquisition of the current waveform, voltage fluctuation and ambient light intensity data of the LED lamp, extraction of harmonic distortion rate, impedance phase characteristics and light intensity change trend, generation of a standardized feature data set; S2, inputting the feature data set into the RTU control terminal, selecting high-speed transmission or compression transmission mode, and generating an optimized carrier data packet; S3, uploading the optimized carrier data packet to the system software layer, inputting the historical database and fault prediction model for joint analysis, and generating an optimized instruction set including dimming parameters and fault disposal strategies; S4, receiving the optimization instruction set at the RTU control terminal, compiling operation instructions based on real-time power grid state, generating anti-interference instruction stream after injecting carrier wave error correction coding; S5, issuing the anti-interference instruction stream to the dimming controller through the power line carrier, collecting voltage / current transient response after executing the dimming operation, calculating the actual brightness deviation rate, triggering adaptive PID calibration if the deviation rate exceeds the threshold, generating closed-loop verification parameters and feeding back to the database.

[0007] Optionally, the RTU control terminal and the system software layer communicate through wireless GPRS to realize transmission of instructions and data; Before step S1, initialization time synchronization is also included, and the specific process of initialization time synchronization is: The timestamp and geographic position code are analyzed by the GPS time setting subunit, and the timestamp is broadcast to all RTU control terminals to calibrate the internal clock module.

[0008] Optionally, after the initialization time synchronization, timing control setting is also included, and the specific process of timing control setting is: Based on the calibrated time, a timing control task queue is generated at the system software layer, including the light switching time window and the dimming brightness curve.

[0009] Optionally, the step S3 also includes fault linkage processing: When the fault prediction model outputs power supply failure or lamp failure, the SMS alarm subsystem generates alarm information and sends SMS including fault location code to the RTU control terminal; Synchronize to activate the photosensitive detection system to collect real-time ambient light intensity data, if the ambient light intensity data is lower than the first threshold and the lamp is not turned on, the dimming instruction set is forced to be generated and the step S4 is jumped to execute the light supplement operation.

[0010] Optionally, after step S3, an operation and maintenance statistics stage is also included, which specifically includes: The system software layer extracts the on-off state record of each street lamp control box in a specified period from the historical database, and calculates the lighting rate according to the following formula: Lighting rate=(effective lighting time / preset on time)×100%; If the lighting rate is lower than the regional threshold, a lamp maintenance task list is automatically generated and associated to the GIS map; In response to an external query instruction, the voltage / current historical curve and the lighting rate statistics table of any street lamp control box are output.

[0011] Optionally, the optimized carrier data packet is uploaded to a system software layer, input into a historical database and a fault prediction model for joint analysis, to generate an optimized instruction set including dimming parameters and fault handling strategies, specifically including the following steps: S31, the optimized carrier data packet is unpacked into three types of time sequence flows of current waveform, voltage fluctuation and light intensity change trend, the equipment fingerprint code of each LED lamp is extracted, the voltage / current reference curve and ambient light intensity record with the same code in the historical database are associated through a space-time alignment algorithm, and a multi-dimensional feature matrix with a time stamp is generated; S32, the multi-dimensional feature matrix is input into a fault prediction model to predict a fault probability vector, and is input into a light efficiency evaluation model to predict a fault probability vector; S33, according to the fault probability vector and the dimming benefit score, a double-threshold decision is executed to generate a dimming parameter and a fault handling strategy decision, and the two types of decisions are combined into a strategy tree node with a priority label; S34, the strategy tree node is traversed, a constraint condition is injected, and an optimized instruction set including dimming parameters and fault handling strategies is generated.

[0012] Optionally, the double-threshold decision specifically includes: If any type of probability in the fault probability vector exceeds the risk threshold, a handling strategy engine is activated to generate a fault handling strategy including power-off protection coordinates and standby loop switching time sequence; If the dimming benefit score is lower than the efficiency threshold, a parameter optimization engine is activated to generate a dimming parameter with dynamic PID coefficients combined with real-time power grid load fluctuation data.

[0013] Optionally, when the dimming operation in step S5 is executed, if a cable impedance phase mutation exceeding a safety threshold is detected, it is determined as a line abnormal event, and the instruction flow is immediately stopped and the following actions are triggered: a, the anti-theft coordinates are sent to the operation and maintenance terminal through the SMS alarm subsystem; b, the RTU control terminal switches to the standby power supply loop to maintain key node lighting.

[0014] The application also provides a power carrier type LED power supply remote control system for realizing the power carrier type LED power supply remote control method as described above, and the control system includes: A detection unit is arranged at each LED lamp for real-time acquisition of current waveform, voltage fluctuation and ambient light intensity data; An RTU control terminal is connected to the detection unit for receiving feature data sets and selecting high-speed transmission or compressed transmission mode, and generating an optimized carrier data packet; A system software layer is connected to the RTU control terminal through wireless communication.

[0015] Optionally, the system software layer comprises: a historical database storing lamp operation history data; a fault prediction model performing joint analysis in cooperation with the historical database; an instruction generation engine generating an optimized instruction set comprising dimming parameters and fault handling strategies based on the joint analysis result; a carrier compiling module integrated in the RTU control terminal, for receiving the optimized instruction set, compiling operation instructions based on real-time power grid state and injecting carrier error correction coding to generate anti-interference instruction stream; a dimming executor connected to the RTU control terminal through power line carrier, for executing dimming operation in the anti-interference instruction stream and collecting voltage / current transient response.

[0016] Compared with the prior art, the present application has the following beneficial effects: through the detection unit deployed in each LED lamp, real-time collection of current waveform, voltage fluctuation and ambient light intensity data, extraction of harmonic distortion rate, impedance phase characteristics and light intensity change trend to generate a standardized edge feature data set; after inputting the data set into the RTU control terminal, high-speed or compression mode is selected based on dynamic transmission strategy to generate optimized carrier data packets; after uploading to the system software layer, joint analysis is performed in combination with the historical database and the fault prediction model, and an optimized instruction set containing dimming parameters and fault handling strategies is output; the RTU control terminal compiles the instructions into operation instructions based on real-time power grid state, injects carrier error correction coding to form anti-interference instruction stream; through power line carrier, the anti-interference instruction stream is issued to the dimming controller to execute brightness adjustment, and voltage / current transient response is collected to calculate brightness deviation rate; if the threshold is exceeded, adaptive PID calibration is triggered, and closed-loop verification parameters are fed back to the database to complete dynamic optimization closed loop; the dynamic closed-loop intelligent control of predictive maintenance + adaptive dimming + anti-interference transmission in the power carrier environment is realized, and the dimming accuracy is improved. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor based on these drawings.

[0018] The structures, proportions, sizes, etc. depicted in the drawings of this specification are only used to match the contents disclosed in the specification so as to facilitate understanding and reading by persons familiar with this technology. They are not intended to limit the conditions under which the present invention can be implemented and therefore have no substantive technical significance. Any structural modifications, changes in proportional relationships, or adjustments in size should still fall within the scope of the technical contents disclosed in the present invention without affecting the effects and objectives that can be achieved by the present invention.

[0019] Figure 1 Schematic diagram of the flow of the power carrier type LED power supply remote control method of the first embodiment; Figure 2 This is a schematic diagram of the networked system of the power carrier type LED power remote control system of the first embodiment; Figure 3 This is a system operation diagram of the power carrier type LED power supply remote control system of the first embodiment. DETAILED DESCRIPTION

[0020] In order to make the purpose, features, and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0021] In the description of the present invention, it should be understood that the terms "upper," "lower," "top," "bottom," "inner," "outer," etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings and are intended solely to facilitate the description of the present invention and simplify the description. They are not intended to indicate or imply that the devices or elements referred to must have a specific orientation, be constructed, or operate in a specific orientation. Therefore, they should not be construed as limitations on the present invention. It should be noted that when a component is considered to be "connected" to another component, it may be directly connected to the other component or there may be a centrally located component.

[0022] The technical solution of the present invention will be further described below with reference to the accompanying drawings and through specific implementation methods.

[0023] Example 1: Combine Figure 1 As shown, an embodiment of the present invention provides a power carrier type LED power supply remote control method, comprising: S1, through the detection unit deployed in each LED lamp, real-time collection of LED lamp current waveform, voltage fluctuation and ambient light intensity data, extraction of harmonic distortion rate, impedance phase characteristics and light intensity change trend, generation of standardized feature data set.

[0024] Through the detection unit integrated by each LED lamp, real-time collection of current waveform, voltage fluctuation and ambient light intensity data, extraction of harmonic distortion rate to diagnose power stability, analysis of impedance phase characteristics to identify line abnormalities, tracking of light intensity change trend to provide basis for environment adaptive dimming, and finally generation of standardized feature data set, unified data format to improve subsequent processing efficiency.

[0025] S2, input the feature data set to the RTU control terminal, select high-speed transmission or compression transmission mode, and generate optimized carrier data packet.

[0026] RTU control terminal dynamically selects high-speed transmission mode (low delay scene) or compression transmission mode (high density data scene) according to network load state, reconstructs data packet structure to adapt to power line channel characteristics, generates optimized carrier data packet, thereby reducing transmission packet loss rate and improving system response real-time performance.

[0027] S3, upload the optimized carrier data packet to the system software layer, input the historical database and fault prediction model for joint analysis, and generate the optimized instruction set including dimming parameters and fault handling strategies.

[0028] The system software layer synchronously inputs the optimized carrier data packet into the historical database and fault prediction model after disassembling, generates the optimized instruction set including PWM dimming parameters and power protection / redundancy switching strategies through joint analysis of historical rules and real-time prediction results, and realizes the collaborative improvement of control accuracy and system fault tolerance.

[0029] S4, receive the optimized instruction set at the RTU control terminal, compile it into operation instructions based on real-time power grid state, and generate anti-interference instruction stream after injecting carrier error correction code.

[0030] RTU control terminal compiles operation instructions based on real-time power grid state (voltage distortion rate, frequency offset, etc.), injects carrier error correction code to resist power line impulse noise, generates anti-interference instruction stream, and ensures the integrity and reliability of control instructions in harsh working conditions.

[0031] S5, issue anti-interference instruction stream to dimming controller through power line carrier, collect voltage / current transient response after executing dimming operation, calculate actual brightness deviation rate, if the deviation rate exceeds the threshold, trigger adaptive PID calibration, generate closed-loop verification parameters and feedback to the database.

[0032] After executing the instruction, the dimming controller collects the microsecond-level voltage / current transient response, calculates the actual brightness deviation rate through the brightness feedback loop, and triggers adaptive PID calibration (dynamically adjusts the proportional / integral / differential coefficients) when the deviation exceeds the threshold. It generates closed-loop verification parameters and feeds them back to the database, forming a self-evolution mechanism for continuous optimization of control accuracy.

[0033] The working principle of the present invention is as follows: through the detection unit deployed in each LED lamp, the current waveform, voltage fluctuation and ambient light intensity data are collected in real time, and the harmonic distortion rate, impedance phase characteristics and light intensity change trend are extracted to generate a standardized edge feature data set; after the data set is input into the RTU control terminal, the high-speed or compression mode is selected based on the dynamic transmission strategy to generate an optimized carrier data packet; after uploading to the system software layer, it is combined with the historical database and the fault prediction model for joint analysis, and an optimized instruction set containing dimming parameters and fault handling strategies is output; the RTU control terminal compiles the instructions into operation instructions based on the real-time power grid status, and injects carrier error correction coding to form an anti-interference instruction stream; it is sent to the dimming controller through the power line carrier to perform brightness adjustment, collect the voltage / current transient response to calculate the brightness deviation rate, and if it exceeds the threshold, it triggers adaptive PID calibration, generates closed-loop verification parameters and feeds them back to the database to complete the dynamic optimization closed loop; realizes dynamic closed-loop intelligent control of predictive maintenance + adaptive dimming + anti-interference transmission in the power carrier environment, and improves dimming accuracy.

[0034] In this embodiment, the RTU control terminal and the system software layer realize the transmission of instructions and data through wireless GPRS communication.

[0035] Before step S1, initialization time synchronization is also included. The specific process of initialization time synchronization is as follows: The GPS time calibration subunit parses the timestamp and geographic location code, and broadcasts the timestamp to all RTU control terminals to calibrate their internal clock modules.

[0036] It should be noted that the GPS timing subunit parses timestamps and device geolocation codes, and uses a broadcast protocol to forcibly calibrate the internal clock modules of all RTU control terminals, eliminating timing errors between distributed nodes. A wireless GPRS communication link is simultaneously established to enable remote data exchange between the system software layer and the RTU control terminals. The geolocation code is bound to each transmitted data packet, providing a spatial reference for fault location. This design solves the problem of scheduled task conflicts caused by clock asynchrony in traditional streetlight systems, while also leveraging the wide coverage of cellular networks to reduce communication deployment costs.

[0037] In this embodiment, it is further explained that after initializing time synchronization, timing control setting is also included. The specific process of timing control setting is: Based on the calibrated time, a timing control task queue is generated at the system software layer, the task queue including a light switching time window and a dimming brightness curve.

[0038] Time synchronization scalability, GPS timestamp broadcast adopts a hierarchical relay strategy, forwarding from the backbone RTU node to the secondary node, improving the synchronization efficiency of large-scale clusters; geographic coding multiplexing, geographic position coding is used to generate power line carrier routing table at the same time, optimizing the transmission path selection of anti-interference instruction flow in S4; while maintaining the advantage of low cost, the adaptability of the system to complex deployment environment is enhanced.

[0039] In this embodiment, step S3 also includes fault linkage processing: When the fault prediction model outputs power supply failure or lamp failure, the short message alarm subsystem generates alarm information and sends a short message including the fault location code to the RTU control terminal; When the fault prediction model outputs power supply or lamp failure, immediately trigger the short message alarm subsystem to generate alarm information containing fault location code, send real-time short message to the preset operation and maintenance terminal through the cellular network, where the location code comes from the geographic identification bound in the GPS time calibration stage, realizing the accurate mapping of fault equipment and physical coordinates.

[0040] Synchronize the activation of the photosensitive detection system to collect real-time ambient light intensity data. If the ambient light intensity data is below the first threshold and the lamp is not turned on, a dimming instruction set is forced to be generated and the operation jumps to step S4 to perform light compensation.

[0041] Synchronize the activation of the photosensitive detection system to collect ambient light intensity data. If the detected light intensity is below the first threshold (such as 10 lux) and the lamp is in the off state, a dimming instruction set is forced to be generated and the operation jumps to S4 to perform light compensation, eliminating the risk of road lighting loss caused by failure through brightness compensation, forming a cooperative response mechanism of failure handling and emergency lighting.

[0042] In this embodiment, after step S3, there is also an operation and maintenance statistics stage, which specifically includes: S301, the system software layer extracts the on-off state record of each street lamp control box in a specified period from the historical database, and calculates the lighting rate according to the following formula: Lighting rate = (effective lighting time / preset on time) x 100%; the result is associated with the control box number to quantitatively evaluate the regional lighting health.

[0043] S302, if the lighting rate is lower than the regional threshold, automatically generate a lamp maintenance task list and associate it to the GIS map; When the light box light rate is lower than the dynamic area threshold (such as residential area <95%), a lamp maintenance task list containing fault probability is automatically generated, and the optimal inspection route is generated through GIS map coordinates and path planning to drive the operation and maintenance system to perform precise dispatching.

[0044] S303, in response to an external query instruction, output the voltage / current history curve and light-on rate statistical table of any street lamp control box.

[0045] In response to an external query instruction, retrieve the voltage / current history waveform curve and light-on rate statistical table of any time period from the historical database, output the interactive data graph through the human-machine interface, and drive the connected printing equipment to generate a compliant paper report.

[0046] In this embodiment, the specific steps include: S31, the optimized carrier data packet is unpacked into three types of time sequence flow of current waveform, voltage fluctuation and light intensity change trend, the device fingerprint code of each LED lamp is extracted, and the voltage / current reference curve and ambient light intensity record of the same code in the historical database are associated through the space-time alignment algorithm to generate a multi-dimensional feature matrix with time stamp; The optimized carrier data packet is unpacked into three types of independent time sequence flow of current waveform, voltage fluctuation and light intensity change trend, each LED lamp is uniquely identified by the device fingerprint code (MAC and geographic coordinates), and the real-time data is matched with the voltage / current reference curve and ambient light intensity record of the same code in the historical database through the space-time alignment algorithm to generate a multi-dimensional feature matrix with time stamp, eliminating the data phase deviation caused by transmission delay.

[0047] S32, the multi-dimensional feature matrix is input into the fault prediction model to predict the output fault probability vector, and the light efficiency evaluation model to predict the output fault probability vector, and the double models are parallel inference to realize the cooperative decision of fault early warning and energy efficiency optimization.

[0048] The fault prediction model is based on harmonic distortion rate and impedance phase characteristics, and outputs a fault probability vector (including three types of probability values of lamp aging, power overload and line abnormality) through LSTM time sequence prediction.

[0049] The light efficiency evaluation model combines the light intensity change trend and historical dimming parameters, and outputs a dimming benefit score (quantifying energy saving rate and lighting uniformity) through reinforcement learning decision network.

[0050] S33, according to the fault probability vector and the dimming benefit score, execute double-threshold decision to generate dimming parameters and fault disposal strategy decision, and output the two types of decisions into a strategy tree node with priority label; Double-threshold decision is executed according to the fault probability vector and the dimming benefit score: power-off protection coordinates and redundant loop switching strategy are generated when the fault probability exceeds the risk threshold; dynamic PID dimming parameters are generated when the dimming benefit is lower than the efficiency threshold; the two types of decisions are merged into a strategy tree node according to the priority label (urgency + impact range) to support parallel / serial scheduling of subsequent instructions.

[0051] S34, traverse the strategy tree node, inject constraint conditions, and generate an optimized instruction set including dimming parameters and fault handling strategies.

[0052] Real-time constraint conditions are injected by traversing the strategy tree node: anti-interference brightness gradient is generated by superimposing dimming parameters with wave channel attenuation compensation coefficients; power line geofencing coordinates are bound to fault strategies; and finally, the optimized instruction set is compiled, which is encrypted by the national SM4 encryption algorithm, and its structure includes an operation code field (switching / dimming), a parameter field (PWM duty cycle), and a positioning field (target device fingerprint encoding).

[0053] In this embodiment, it is further explained that the double-threshold decision specifically includes: If any type of probability in the fault probability vector exceeds the risk threshold, the handling strategy engine is activated to generate a fault handling strategy including power-off protection coordinates and standby loop switching timing; If the dimming benefit score is lower than the efficiency threshold, the parameter optimization engine is activated to generate dimming parameters with dynamic PID coefficients combined with real-time power grid load fluctuation data.

[0054] It should be noted that when any type of probability (luminaire aging, power overload, or line abnormality) in the fault probability vector exceeds the preset risk threshold, the handling strategy engine is immediately activated to generate a fault handling strategy including power-off protection coordinates (bound to GPS geographic location) and standby loop switching timing (millisecond-level reverse triggering); at the same time, if the dimming benefit score is lower than the dynamic efficiency threshold (based on real-time electricity price and traffic flow calculation), the parameter optimization engine is activated to generate dimming parameters with dynamic PID coefficients (self-adaptive adjustment of proportional / integral coefficients) by fusing power grid load fluctuation data, achieving collaborative control of fault rapid isolation and energy efficiency optimization.

[0055] In this embodiment, it is further explained that when the dimming operation in step S5 is detected, if the cable impedance phase mutation exceeds the safety threshold, it is determined as a line abnormality event, and the instruction flow is immediately suspended and the following actions are triggered: a. Send the anti-theft coordinates to the operation and maintenance terminal through the SMS alarm subsystem; b. The RTU control terminal switches to the standby power supply loop to maintain key node lighting.

[0056] It should be noted that the cable impedance phase characteristics are continuously monitored when the dimming operation is performed in step S5, and if a phase mutation exceeding a safety threshold is detected, a line theft event is determined, the instruction flow is immediately suspended, and a double response is triggered: a, the anti-theft coordinates (including power line code) are sent to the operation and maintenance terminal through the SMS alarm subsystem to activate the sound and light tracking device; b, the RTU control terminal switches to the standby power supply circuit (lithium iron phosphate energy storage system), maintains 50% brightness lighting of the key nodes, and minimizes the loss of theft under the premise of ensuring road safety.

[0057] Embodiment two: In combination Figure 2 And Figure 3 As shown in FIGS. 1 and 2, the present application also provides a power carrier type LED power supply remote control system for realizing the power carrier type LED power supply remote control method of embodiment one. The control system comprises: A detection unit is arranged in each LED lamp for real-time acquisition of current waveform, voltage fluctuation and ambient light intensity data.

[0058] An RTU control terminal is connected to the detection unit for receiving feature data sets and selecting high-speed transmission or compressed transmission mode, and generating optimized carrier data packets.

[0059] A system software layer is connected to the RTU control terminal through wireless communication, in combination Figure 3 As shown in FIG. 3, the lower right corner of the figure is the composition of the system software layer and its specific operation process.

[0060] In this embodiment, it is further explained that the system software layer comprises: A historical database for storing lamp operation history data.

[0061] A fault prediction model for performing joint analysis in cooperation with the historical database.

[0062] An instruction generation engine for generating an optimized instruction set including dimming parameters and fault handling strategies based on the joint analysis results.

[0063] A carrier compiling module integrated in the RTU control terminal for receiving the optimized instruction set, compiling operation instructions based on real-time power grid state and injecting carrier error correction codes to generate anti-interference instruction flow.

[0064] A dimming executor connected to the RTU control terminal through the power line carrier for executing the dimming operation in the anti-interference instruction flow and collecting voltage / current transient response.

[0065] The above-described embodiments are only used to illustrate the technical solutions of the present application, and are not intended to limit the present application; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those skilled in the art that the technical solutions recorded in the foregoing embodiments can still be modified, or some technical features can be replaced by equivalent replacements; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A power carrier type LED power supply remote control method, characterized by, The method comprises the following steps: S1, through the detection unit deployed in each LED lamp, real-time acquisition of LED lamp current waveform, voltage fluctuation and ambient light intensity data, extraction of harmonic distortion rate, impedance phase characteristics and light intensity change trend, generation of standardized feature data set; S2, input the feature data set into the RTU control terminal, select high-speed transmission or compression transmission mode, generate optimized carrier data packet; S3, upload the optimized carrier data packet to the system software layer, input the historical database and the fault prediction model for joint analysis, generate the optimized instruction set including dimming parameters and fault disposal strategy; S4, receive the optimized instruction set in the RTU control terminal, compile operation instructions based on real-time power grid state, generate anti-interference instruction stream after injection of carrier error correction coding; S5, issue the anti-interference instruction stream to the dimming controller through the power line carrier, collect voltage / current transient response after executing the dimming operation, calculate the actual brightness deviation rate, and trigger adaptive PID calibration if the deviation rate exceeds the threshold, generate closed-loop verification parameters and feedback to the database.

2. The power line carrier LED power supply remote control method according to claim 1, wherein, The RTU control terminal and the system software layer realize the transmission of instructions and data through wireless GPRS communication; Before step S1, initialization time synchronization is further included, and the specific process of initialization time synchronization is as follows: The GPS time setting subunit analyzes the time stamp and the geographic position code, and broadcasts the time stamp to all RTU control terminals to calibrate the internal clock module.

3. The power line carrier LED power supply remote control method according to claim 2, wherein After the initialization time synchronization, timing control setting is further included, and the specific process of timing control setting is as follows: Based on the calibrated time, a timing control task queue is generated in the system software layer, and the task queue includes switch-on time window and dimming brightness curve.

4. The power line carrier LED power supply remote control method according to claim 1, wherein The step S3 further includes fault linkage processing: When the fault prediction model outputs power supply failure or lamp failure, the SMS alarm subsystem generates alarm information and sends SMS including fault location code to the RTU control terminal; Synchronously activate the photosensitive detection system to collect real-time ambient light intensity data, and if the ambient light intensity data is lower than the first threshold and the lamp is not turned on, generate a dimming instruction set and jump to step S4 to execute the light supplement operation.

5. The power line carrier LED power supply remote control method according to claim 1, wherein After step S3, an operation and maintenance statistics stage is further included, which specifically includes: The system software layer extracts the on-off state record of each lamp control box in a specified period from the historical database, and calculates the lighting rate according to the following formula: Lighting rate=(effective lighting time / preset on time)×100%; If the lighting rate is lower than the regional threshold, a lamp maintenance task list is automatically generated and associated to the GIS map; In response to an external query instruction, output the voltage / current historical curve and lighting rate statistics table of any lamp control box.

6. The power line carrier LED power supply remote control method according to claim 1, wherein Upload the optimized carrier data packet to the system software layer, input the historical database and the fault prediction model for joint analysis, generate the optimized instruction set including dimming parameters and fault disposal strategy, which specifically includes the following steps: S31, the optimized carrier data packet is unpacked into three types of time sequence flow of current waveform, voltage fluctuation and light intensity change trend, the equipment fingerprint code of each LED lamp is extracted, the voltage / current reference curve and ambient light intensity record with the same code in the historical database are associated through the space-time alignment algorithm, and a multi-dimensional feature matrix with timestamp is generated; S32, the multi-dimensional feature matrix is input into the fault prediction model to predict the output fault probability vector, and is input into the light efficiency evaluation model to predict the output fault probability vector; S33, according to the fault probability vector and the dimming benefit score, a double threshold decision is made to generate a dimming parameter and a fault disposal strategy decision, and the two types of decisions are combined into a strategy tree node with a priority label; S34, the strategy tree node is traversed, and a constraint condition is injected to generate an optimized instruction set including a dimming parameter and a fault disposal strategy.

7. The power line carrier LED power supply remote control method according to claim 6, wherein, The double threshold decision specifically includes: If any probability in the fault probability vector exceeds the risk threshold, activate the disposal strategy engine to generate a fault disposal strategy including power-off protection coordinates and standby loop switching time sequence; If the dimming benefit score is lower than the efficiency threshold, activate the parameter optimization engine to generate a dimming parameter with dynamic PID coefficient combined with real-time power grid load fluctuation data.

8. The power line carrier LED power supply remote control method according to claim 1, wherein, When step S5 performs the dimming operation, if the cable impedance phase mutation exceeds the safety threshold, it is determined as a line abnormal event, and the instruction flow is immediately stopped and the following actions are triggered: a. Send the anti-theft coordinates to the operation and maintenance terminal through the SMS alarm subsystem; b. The RTU control terminal switches to the standby power supply loop to maintain the key node lighting.

9. A power carrier type LED power supply remote control system, characterized by, To realize the power carrier type LED power supply remote control method as claimed in any one of claims 1 to 8, the control system comprises: A detection unit is arranged at each LED lamp for real-time acquisition of current waveform, voltage fluctuation and ambient light intensity data; An RTU control terminal is connected to the detection unit for receiving feature data set and selecting high-speed transmission or compressed transmission mode, and generating an optimized carrier data packet; A system software layer is connected to the RTU control terminal through wireless communication.

10. The power line carrier LED power supply remote control system according to claim 9, wherein, The system software layer comprises: A historical database for storing lamp operation history data; A fault prediction model for performing joint analysis with the historical database; An instruction generation engine for generating an optimized instruction set including dimming parameters and fault disposal strategies based on joint analysis results; A carrier compiling module integrated in the RTU control terminal for receiving the optimized instruction set, compiling operation instructions based on real-time power grid state and injecting carrier error correction code to generate anti-interference instruction stream; A dimming executor connected to the RTU control terminal through power line carrier for executing dimming operation in the anti-interference instruction stream and collecting voltage / current transient response.

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