Multi-street-lamp digital power supply networked control system and remote management method

Abstract

The invention relates to the technical field of intelligent lighting, and discloses a multi-street-lamp digital power supply networked control system and a remote management method, and the system comprises digital power supply modules which are installed at each street lamp unit and are used for carrying out the power supply and real-time monitoring of street lamps, and each digital power supply module comprises a power factor correction unit, a real-time monitoring unit and an execution unit; the data acquisition module is used for acquiring voltage, current and power electrical parameters of each street lamp unit and acquiring external environment data of environment brightness, temperature and humidity through environment sensing equipment; the digital power supply module is adopted, reactive power is optimized through the power factor correction unit, electric energy loss is reduced, and the power supply efficiency of the whole street lamp system is improved. Compared with a traditional analog power supply system, the system has remarkable advantages in the aspect of energy efficiency, the digital power supply module can accurately monitor voltage, current and power, and the running state of the street lamp is optimized through real-time data feedback.

Description

Technical Field

[0001] The present invention relates to the field of intelligent lighting technology, in particular to a multi-street lamp digital power supply network control system and a remote management method. Background Art

[0002] With the acceleration of urbanization and the advancement of intelligent construction, the street light system, as an important part of urban infrastructure, has a direct impact on the city's energy use and public service quality through its operating efficiency, energy consumption management and maintenance level. Traditional street light systems usually rely on centralized control modes, mainly meeting lighting needs through timed switches and fixed brightness. Although this mode can meet basic lighting requirements, it has certain limitations in terms of energy consumption, fault management and environmental adaptability.

[0003] The current street light control technology is mainly based on analog power supply systems, which lack efficient power factor correction capabilities, resulting in high reactive power loss and low overall system energy efficiency. At the same time, existing technologies usually rely only on single electrical parameter monitoring (such as current and voltage), and are not able to respond to environmental changes (such as light intensity, temperature and humidity), and cannot dynamically adjust the brightness and switch status of street lights. In addition, existing systems usually adopt a centralized management mode, and the data processing and control of street lights in the area are completely dependent on the central platform. Once a communication interruption or platform failure occurs, the overall function of the system will be seriously affected.

[0004] The above technical limitations have led to many problems in the large-scale application of street lamp systems, especially the inability to generate optimized energy-saving control strategies based on load fluctuations and dynamic changes in the external environment. This mode allows traditional systems to maintain high-brightness lighting under low traffic or high light conditions, resulting in energy waste. In addition, when a local fault occurs during system operation, the existing technology cannot respond quickly and operate independently, further affecting the reliability and maintenance efficiency of the street lamp system. Therefore, there is an urgent need for a multi-street lamp network management system that can combine digital power supply, environmental perception and intelligent control to solve the problems of energy waste and low fault management efficiency. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a multi-street lamp digital power supply network control system and a remote management method, which solves the problem that the traditional system still maintains high-brightness lighting under low traffic or high light conditions, causing energy waste.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a multi-street lamp digital power supply network control system, comprising:

[0007] A digital power supply module, installed in each street lamp unit, for supplying power to and monitoring the street lamp in real time, the digital power supply module comprising a power factor correction unit, a real-time monitoring unit and an execution unit;

[0008] The data acquisition module is used to collect the voltage, current, and power electrical parameters of each street lamp unit, and collect the external environmental data of ambient brightness, temperature and humidity through the environmental sensing device;

[0009] A regional control node, which is connected to multiple digital power modules for integrating electrical parameters and environmental data of branch circuits and uploading them to a central management platform, wherein the regional control node has local data processing capabilities and autonomous control functions;

[0010] A central management platform connected to each regional control node, used to generate an optimization control strategy based on the received data, the central management platform comprising a data fusion unit, a load prediction unit, an optimization strategy unit and a fault detection unit;

[0011] The communication module uses a low-power wireless communication protocol to connect the digital power module, regional control node and central management platform to upload data and issue commands;

[0012] Maintenance terminal, which is connected to the central management platform for receiving fault alarm information and sending maintenance status feedback;

[0013] Among them, the central management platform generates an optimization control strategy through fusion data analysis to dynamically adjust the switching status and brightness of each street lamp.

[0014] Preferably, the digital power module comprises:

[0015] Power factor correction unit, used to correct reactive power and improve power supply efficiency;

[0016] A real-time monitoring unit for collecting the supply voltage, current and power and converting them into digital signals;

[0017] The execution unit is used to receive control instructions and adjust the switch state and brightness of the street light.

[0018] Preferably, the data acquisition module includes:

[0019] Voltage sensor, used to detect the power supply voltage in real time;

[0020] CT sensor, used to collect the current value of the branch circuit;

[0021] Light sensor, used to detect ambient brightness;

[0022] Temperature and humidity sensors are used to obtain temperature and humidity information of the street lamp operating environment.

[0023] Preferably, the regional control node has local processing capabilities for:

[0024] Perform preliminary processing on the received branch circuit data to generate analysis results of street lamp power consumption and environmental status in the area;

[0025] When the central management platform fails to respond, the pre-stored regional control strategy is executed to achieve local autonomy;

[0026] Upload the power consumption, voltage and fault status information of street lamps in this area to the central management platform.

[0027] Preferably, the central management platform includes:

[0028] Data fusion unit, used to integrate power consumption, voltage, and environmental perception data, and perform data cleaning and normalization processing;

[0029] A load prediction unit, which generates load prediction results based on historical data and real-time data, and the prediction results are used to generate street lamp brightness and switch control strategies for different time periods;

[0030] Optimization strategy unit, used to generate energy-saving control strategy and partition control strategy, and dynamically adjust the switch status and brightness of street lights;

[0031] The fault detection unit is used to monitor the operating status of street lamps in real time, generate fault alarm information, and guide maintenance personnel to repair the faults.

[0032] Preferably, the communication module adopts the LoRa communication protocol to achieve low-power data transmission between the regional node and the digital power module.

[0033] Preferably, the maintenance terminal has the following functions:

[0034] Receive fault alarm information in real time, including fault location, fault cause and recommended treatment measures;

[0035] Upload the fault handling status through the maintenance terminal so that the central management platform can update the street light operation status.

[0036] A remote management method for a multi-street lamp digital power supply network control system comprises the following steps:

[0037] Step 1: Initialize the digital power module, data acquisition module, regional control node and central management platform, establish communication connection and set system parameters;

[0038] Step 2: The data acquisition module collects the voltage, current, power consumption and environmental perception data of the street lamp unit;

[0039] Step 3: The regional control node performs preliminary processing on the collected data and uploads the results to the central management platform;

[0040] Step 4: The central management platform integrates power consumption data and environmental data and generates load prediction results based on machine learning algorithms;

[0041] Step 5: The central management platform generates an optimized control strategy based on the prediction results and real-time status and sends it to the regional control node;

[0042] Step 6: The regional control node executes the control strategy, dynamically adjusts the switch status and brightness of the street lamp, and uploads feedback information;

[0043] Step 7: When a fault occurs, the central management platform generates a fault alarm message and sends it to the maintenance terminal. The maintenance terminal completes the fault processing based on the information and uploads the status update.

[0044] Preferably, the optimization control strategy generation step includes:

[0045]

[0046] Where is the total energy consumption, is the power consumption of the street lamp, and is the duration of its on-time;

[0047] Differentiated control strategies are generated in combination with zoning characteristics to ensure that street lights in key areas are turned on first and energy consumption is reduced during non-peak hours.

[0048] Preferably, the fault detection includes:

[0049] When the power consumption data deviates from the set value or exceeds the allowable fluctuation range, the formula is:

[0050] ΔP=|P 实时 -P 预测 |

[0051] Determine whether a fault alarm is triggered;

[0052] Upload fault point information to the central management platform and synchronize it to the maintenance terminal so that maintenance personnel can quickly locate and repair the fault.

[0053] The present invention provides a multi-street lamp digital power supply network control system and remote management method. It has the following beneficial effects:

[0054] 1. The present invention adopts a digital power module and optimizes reactive power through a power factor correction unit, reduces power loss, and improves the power supply efficiency of the entire street lamp system. Compared with the traditional analog power system, this has significant advantages in energy efficiency. The digital power module can accurately monitor voltage, current and power, and optimize the operating status of the street lamp through real-time data feedback. Compared with the traditional analog system, digital control ensures that the street lamp is always in the best operating state, thereby reducing the probability of failure and improving the reliability and stability of the system.

[0055] 2. The present invention realizes multi-dimensional monitoring of the street lamp system and its operating environment by integrating voltage sensors, CT sensors, light sensors and temperature and humidity sensors. This not only helps to detect the power consumption and load conditions of street lamps in real time, but also can dynamically adjust the brightness and switch status of street lamps based on external environmental conditions, thereby maximizing energy saving and optimizing lighting effects. The integrated environmental perception module enables the system to perceive external changes in real time and intelligently adjust the brightness and switch time of street lamps, ensuring that street lamps always maintain efficient and energy-saving operation under different climate and environmental conditions.

[0056] 3. The present invention adopts regional control nodes, so that each area can independently handle street light control and data processing tasks, reducing the burden on the central system, and can still maintain independent working capabilities in the event of a failure or communication interruption. This design not only improves the reliability and stability of the system, but also makes the management of large-scale street light systems more efficient. The central management platform adopts a load prediction unit to generate load predictions based on historical data and real-time data, which can predict future load fluctuations in advance and dynamically adjust the brightness and switch status of street lights. This intelligent prediction mechanism effectively avoids the problem of energy waste due to delayed response in traditional systems, and enables the system to optimize operation according to real-time needs.

[0057] 4. The present invention generates a dynamic energy-saving control strategy through intelligent analysis based on load prediction and environmental data. Especially during off-peak hours with low traffic or low light, the system automatically reduces the brightness of street lights or turns off unnecessary street lights, thereby effectively reducing unnecessary energy consumption. Compared with traditional fixed-mode street light control, this flexible adjustment mechanism has a better energy-saving effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 is a system flow chart of the present invention;

[0059] Figure 2 Flow chart of the method of the present invention DETAILED DESCRIPTION

[0060] The following will be combined with the drawings in the specification of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments 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 creative work are within the scope of protection of the present invention.

[0061] Embodiment 1:

[0062] Please see attached Figure 1 The embodiment of the present invention provides a multi-street lamp digital power supply network control system, including:

[0063] A digital power module is installed in each street lamp unit and is used to supply power and monitor the street lamp in real time. The digital power module includes a power factor correction unit, a real-time monitoring unit and an execution unit;

[0064] The data acquisition module is used to collect the voltage, current, and power electrical parameters of each street lamp unit, and collect the external environmental data of ambient brightness, temperature and humidity through the environmental sensing device;

[0065] The regional control node communicates with multiple digital power modules to integrate the electrical parameters and environmental data of the branch circuits and upload them to the central management platform. The regional control node has local data processing capabilities and autonomous control functions;

[0066] A central management platform, connected to each regional control node, for generating an optimization control strategy based on the received data, the central management platform includes a data fusion unit, a load prediction unit, an optimization strategy unit and a fault detection unit;

[0067] The communication module uses a low-power wireless communication protocol to connect the digital power module, regional control node and central management platform to upload data and issue commands;

[0068] Maintenance terminal, which is connected to the central management platform for receiving fault alarm information and sending maintenance status feedback;

[0069] Among them, the central management platform generates an optimization control strategy through fusion data analysis to dynamically adjust the switching status and brightness of each street lamp.

[0070] In one embodiment, data collection and monitoring

[0071] The digital power module collects the voltage, current, power and other operating parameters of the street lamp in real time, and performs preliminary processing on the data through the real-time monitoring unit.

[0072] The environmental sensing devices in the data acquisition module (such as light sensors, temperature and humidity sensors) collect external environmental data (such as brightness, temperature and humidity, etc.) in real time and send the collected data to the regional control node.

[0073] Data integration and upload

[0074] The regional control node receives electrical parameters and environmental data uploaded by multiple digital power modules and performs preliminary processing on the data, including power consumption statistics and environmental analysis.

[0075] The integrated data is uploaded to the central management platform through a low-power communication module.

[0076] Intelligent analysis and optimized control

[0077] After the central management platform receives the data uploaded by the nodes in each area, the data fusion unit conducts a comprehensive analysis of the operating status data of the street lamps and the environmental perception data.

[0078] The load forecasting unit uses machine learning algorithms (such as LSTM or decision tree models) based on real-time data and historical data to predict future load fluctuations and generate corresponding adjustment strategies in advance.

[0079] The optimization strategy unit generates a dynamic optimization control strategy based on the prediction results and actual operating status, including:

[0080] Adjust the brightness of street lights.

[0081] Dynamically switch some street lights.

[0082] Reduce brightness or turn off street lights in low traffic or high light areas.

[0083] Control strategy issuance and execution

[0084] The central management platform sends the generated optimization control strategy to each regional control node through the communication module.

[0085] The regional control node adjusts the execution unit in the digital power module according to the received instructions to dynamically adjust the brightness and switching status of each street lamp.

[0086] Fault detection and maintenance response

[0087] The fault detection unit monitors key data such as power and voltage in real time and analyzes their fluctuations. If an abnormality is detected (such as power deviation from the set range, sensor failure, etc.), the fault information will be uploaded to the central management platform.

[0088] The central management platform generates specific fault alarm information, including location, cause and suggested solutions, and sends it to the maintenance terminal.

[0089] Maintenance personnel can view fault information through the maintenance terminal, quickly locate the problem street lamp and implement repairs.

[0090] The digital power module includes:

[0091] Power factor correction unit, used to correct reactive power and improve power supply efficiency;

[0092] A real-time monitoring unit for collecting the supply voltage, current and power and converting them into digital signals;

[0093] The execution unit is used to receive control instructions and adjust the switch state and brightness of the street light.

[0094] The data acquisition module includes:

[0095] Voltage sensor, used to detect the power supply voltage in real time;

[0096] CT sensor, used to collect the current value of the branch circuit;

[0097] Light sensor, used to detect ambient brightness;

[0098] Temperature and humidity sensors are used to obtain temperature and humidity information of the street lamp operating environment.

[0099] In one embodiment, electrical parameter collection and upload

[0100] Voltage sensor: detects the power supply voltage in real time and converts the detection results into digital signals and uploads them to the data acquisition module. The fluctuation of the power supply voltage provides basic data for the system to judge the operating status and load of the street lamp.

[0101] CT sensor: collects the current value of the branch circuit and converts it into a digital signal. The change of the current value directly reflects the power consumption status of the street lamp. Combined with the voltage data, the actual power can be calculated to identify whether there is overload or abnormal power consumption.

[0102] Environmental parameter perception and feedback

[0103] Light sensor: Real-time detection of the brightness level of the external environment. When there is sufficient light (such as during the day or when the street lighting area is greatly affected by external light sources), the system can automatically reduce or turn off the brightness of the street lights by analyzing the data, thereby saving energy.

[0104] Temperature and humidity sensor: collects temperature and humidity information of the street lamp operating environment. In high temperature conditions, the system can adjust the street lamp load to prevent the equipment from overheating; in humid or cold weather, the system can reduce equipment loss and improve the reliability of street lamps through protective settings.

[0105] Data integration and preliminary processing

[0106] The data acquisition module normalizes the raw data obtained from the voltage sensor, CT sensor, light sensor, and temperature and humidity sensor to eliminate noise signals and ensure the accuracy of the data.

[0107] The integrated electrical and environmental data are uploaded to the regional control node through the communication module for subsequent analysis and processing.

[0108] Intelligent analysis and response

[0109] In the regional control node or central management platform, the collected data is used for:

[0110] Real-time power consumption calculation: Calculate the power consumption status of branch street lights through voltage and current data to determine whether there are abnormal fluctuations.

[0111] Environment-driven lighting optimization: Analyze lighting data, and when the natural light intensity is higher than the set threshold, the system automatically lowers or turns off the street lights.

[0112] Weather adaptation adjustment: Based on temperature and humidity information, the system adds protective operating settings under extreme weather conditions, such as reducing load to reduce electrical equipment losses.

[0113] After the central management platform generates the optimized control strategy, it sends the control instructions to the digital power module through the communication module to adjust the brightness and switch status of the street lamps.

[0114] Fault detection and early warning

[0115] When the collected data exceeds the preset range (such as excessive current, unstable voltage, abnormal brightness, etc.), the system determines the possible fault type based on the set rules and triggers an early warning.

[0116] Fault information includes the analysis results of electrical and environmental data, generates specific alarm content and uploads it to the maintenance terminal to guide maintenance personnel to quickly locate and repair the problem.

[0117] Regional control nodes have local processing capabilities for:

[0118] Perform preliminary processing on the received branch circuit data to generate analysis results of street lamp power consumption and environmental status in the area;

[0119] When the central management platform fails to respond, the pre-stored regional control strategy is executed to achieve local autonomy;

[0120] Upload the power consumption, voltage and fault status information of street lamps in this area to the central management platform.

[0121] In one embodiment, 1. Data reception and preliminary processing

[0122] The regional control node receives real-time data from the branch circuit through the communication module, including:

[0123] Power consumption data: voltage, current, power and other data from digital power modules.

[0124] Environmental status data: Ambient brightness and climate condition information from sensing devices such as light sensors, temperature and humidity sensors.

[0125] The node's built-in data processing unit performs preliminary processing on the received data:

[0126] Power consumption statistics: Calculate the real-time power consumption of each branch street lamp based on voltage and current data, and generate a power consumption statistics table for the area.

[0127] Environmental status analysis: Analyze environmental data (such as brightness, temperature and humidity) to determine the impact of light sufficiency and environmental conditions on street light operation in the area.

[0128] 2. Autonomous control and local autonomy

[0129] When the central management platform is working normally, the regional nodes will upload the preliminarily processed data to the central platform, and the central platform will generate and distribute the global optimization control strategy.

[0130] When the central management platform loses communication or fails to respond, the regional nodes automatically switch to local autonomous mode and execute the pre-stored regional control strategy:

[0131] Adjust street light brightness and switch status: Dynamically adjust the operating status of street lights in the area based on local power consumption statistics and environmental status data to ensure regional lighting effects and energy-saving optimization.

[0132] Fault response: If abnormal power consumption or sensor failure is detected, the regional node generates a local fault alert and attempts to self-adjust for minor problems (such as restarting the sensor).

[0133] 3. Data upload and fault information feedback

[0134] After completing the preliminary data processing, the regional node uploads the following information to the central management platform through the communication module:

[0135] Power consumption statistics: real-time power consumption data and cumulative power consumption statistics of each branch street lamp.

[0136] Environmental status analysis results: data such as brightness levels and climate conditions in the area.

[0137] Fault status information: including abnormal power consumption data, fault location and possible causes (such as voltage abnormality, sensor failure, bulb failure, etc.).

[0138] The uploaded data is pre-processed and normalized by the regional nodes to ensure that the transmission content is efficient and concise without losing key information.

[0139] 4. Fault detection and maintenance support

[0140] Under normal circumstances, regional nodes only upload data to the central management platform, which generates maintenance information and sends it to the maintenance terminal.

[0141] In autonomous mode, regional nodes record fault information locally and transmit alarms directly to maintenance terminals, helping maintenance personnel respond to problems quickly.

[0142] After the maintenance is completed, the regional node receives the status update information uploaded by the maintenance personnel, resumes normal working mode and synchronizes it to the central management platform.

[0143] The central management platform includes:

[0144] Data fusion unit, used to integrate power consumption, voltage, and environmental perception data, and perform data cleaning and normalization processing;

[0145] The load prediction unit generates load prediction results based on historical data and real-time data. The prediction results are used to generate street light brightness and switch control strategies for different time periods;

[0146] Optimization strategy unit, used to generate energy-saving control strategy and partition control strategy, and dynamically adjust the switch status and brightness of street lights;

[0147] The fault detection unit is used to monitor the operating status of street lamps in real time, generate fault alarm information, and guide maintenance personnel to repair the faults.

[0148] The communication module adopts the LoRa communication protocol to achieve low-power data transmission between the regional node and the digital power module.

[0149] In one embodiment, 1. Composition and connection of communication module

[0150] The communication module includes LoRa sending unit and receiving unit:

[0151] LoRa sending unit: integrated in the digital power module, used to package the collected voltage, current, power and other status information and send it to the regional node.

[0152] LoRa receiving unit: integrated in the regional control node, used to receive data from the digital power module and forward the control instructions issued by the central management platform to the digital power module.

[0153] 2. Data upload process

[0154] Data collection and coding:

[0155] The digital power module collects the electrical parameters of the branch circuit (such as voltage, current, power, etc.) and environmental perception data (such as light intensity, temperature and humidity, etc.) in real time, and packages and encodes the data.

[0156] The LoRa sending unit modulates the encoded data into a low-rate radio frequency signal through spread spectrum technology.

[0157] Data transmission:

[0158] The packaged data is sent to the regional control node in the form of low-power radio frequency signals via the LoRa protocol.

[0159] The long-distance transmission characteristics of the LoRa protocol ensure reliable signal transmission in complex urban environments, and communication remains stable even if the signal is attenuated or there are physical obstacles.

[0160] Data reception and analysis:

[0161] After receiving the RF signal, the LoRa receiving unit of the regional control node demodulates and decodes it to restore it to the original data.

[0162] The recovered data is transmitted to the data processing module of the regional control node for preliminary analysis or upload to the central management platform.

[0163] 3. Control instruction issuance process

[0164] Instruction generation:

[0165] The central management platform generates optimized control strategies (such as adjusting brightness, turning street lights on and off, fault detection, etc.) based on the received street light status data.

[0166] The generated control instructions are sent to the regional control node through the communication module.

[0167] Command forwarding and sending:

[0168] After receiving the instructions from the central management platform, the regional control node packages the instructions and sends them to the target digital power module in the form of radio frequency signals through the LoRa sending unit.

[0169] Instruction reception and execution:

[0170] The LoRa receiving unit of the digital power module decodes the instruction after receiving it and transmits the decoded instruction to the execution unit.

[0171] The execution unit adjusts the brightness, switch status or other functions of the street light according to the instructions.

[0172] 4. Multi-device management and networking mechanism

[0173] Multi-device access:

[0174] The regional node is able to maintain communication connections with multiple digital power modules through the LoRa protocol, with each device distributing data and receiving instructions through a unique address or identifier.

[0175] Flexible networking:

[0176] Star topology: The digital power module communicates directly with the regional node, which is suitable for smaller or centrally distributed street lighting systems.

[0177] Mesh topology: Some street light devices act as relay nodes to extend the communication range, which is suitable for large-scale, decentralized street light systems.

[0178] 5. Communication optimization and error checking

[0179] Communication optimization:

[0180] The LoRa communication module dynamically adjusts the transmission power according to the signal strength to further reduce energy consumption.

[0181] Data fragmentation and priority: large data packets are transmitted in fragments, and the data transmission order is adjusted according to the urgency (such as fault alarm data is given priority).

[0182] Error checking:

[0183] The LoRa communication module embeds an error detection code (such as CRC check) in the data packet. The receiving end verifies the data integrity and then feeds back a confirmation signal to ensure the accuracy and reliability of data transmission.

[0184] The maintenance terminal has the following functions:

[0185] Receive fault alarm information in real time, including fault location, fault cause and recommended treatment measures;

[0186] Upload the fault handling status through the maintenance terminal so that the central management platform can update the street light operation status.

[0187] In one embodiment, the reception of the fault alarm information

[0188] 1. Fault detection and upload:

[0189] When the street light system detects an abnormality (such as power overload, voltage abnormality, sensor failure, etc.), the fault detection unit generates an alarm message, including:

[0190] Fault location: Clearly identify the specific street light unit where the fault occurred.

[0191] Cause of failure: Fault type and possible cause (such as voltage fluctuation, lamp failure) derived from analysis of power consumption, voltage, environmental data, etc.

[0192] Treatment suggestions: Provide preliminary solutions based on the fault type, such as replacing lamps, checking circuit connections, etc.

[0193] Fault information is uploaded to the central management platform through the communication module and sent to the maintenance terminal simultaneously.

[0194] The maintenance terminal displays the alarm information:

[0195] The maintenance terminal displays fault alarm information in real time through a friendly user interface (such as a graphical interface), including map marking of the fault location, detailed fault cause analysis and recommended treatment measures.

[0196] Maintenance personnel can view alarm details directly on the terminal without the need for additional equipment or system support.

[0197] 2. Upload the fault handling status

[0198] Processing progress record:

[0199] After completing the fault repair, the maintenance personnel upload the processing status information through the maintenance terminal, including:

[0200] Repair Time: Record the completion time of the fault repair.

[0201] Action: Specific repair operations performed by maintenance personnel (such as replacing light bulbs, rewiring, etc.).

[0202] Current status: The operating status of the street light after repair (such as normal operation, need for further testing).

[0203] The processing status information is sent to the central management platform through the communication module.

[0204] Operation status update:

[0205] After receiving the processing status information, the central management platform updates the operating status of the street lights in real time to ensure that the system data is consistent with the actual operating conditions.

[0206] At the same time, the updated operating data is stored in the system database to provide data support for subsequent optimization analysis and system maintenance.

[0207] 3. Closed-loop management of fault handling

[0208] Closed loop of alarm and repair process:

[0209] The fault alarm and processing complete a complete closed-loop process. The maintenance terminal not only receives the alarm information, but also records the processing progress to ensure that each fault has a clear processing record to avoid missing or repeated alarms.

[0210] Historical data tracking:

[0211] The central management platform can establish a fault history database, analyze the occurrence patterns of common faults, and optimize system operation strategies by maintaining the data uploaded by the terminal.

[0212] For example, if abnormal power consumption frequently occurs in street lamps in a certain area, the system can adjust the voltage load in advance to prevent the fault from happening again.

[0213] 4.Support multi-task collaboration

[0214] Multi-terminal task allocation:

[0215] The central management platform can distribute multiple fault alarm information to multiple maintenance terminals, supporting multiple maintenance personnel to handle different faults at the same time.

[0216] The terminal and the central platform synchronize the repair progress in real time to ensure reasonable task allocation and improve resource utilization efficiency.

[0217] 5. Data feedback and optimization strategy generation

[0218] Data return:

[0219] The fault handling status data uploaded by the maintenance terminal is stored in the central management platform for subsequent operation optimization.

[0220] The data includes repair time, treatment plan and current status, providing the system with real feedback on maintenance effectiveness.

[0221] Strategy Generation:

[0222] Based on the data fed back by the terminals, the central management platform can adjust the operating parameters of the street lights (such as voltage range and power consumption limit) to reduce the system failure rate.

[0223] The system analyzes historical maintenance data through machine learning, further optimizes alarm judgment rules and repair suggestions, and improves future fault management capabilities.

[0224] Embodiment 2:

[0225] Please see attached Figure 2 Based on the above embodiments, this embodiment provides a remote management method for a multi-street lamp digital power supply network control system, including the following steps:

[0226] Step 1: Initialize the digital power module, data acquisition module, regional control node and central management platform, establish communication connection and set system parameters;

[0227] Step 2: The data acquisition module collects the voltage, current, power consumption and environmental perception data of the street lamp unit;

[0228] Step 3: The regional control node performs preliminary processing on the collected data and uploads the results to the central management platform;

[0229] Step 4: The central management platform integrates power consumption data and environmental data and generates load prediction results based on machine learning algorithms;

[0230] Step 5: The central management platform generates an optimized control strategy based on the prediction results and real-time status and sends it to the regional control node;

[0231] Step 6: The regional control node executes the control strategy, dynamically adjusts the switch status and brightness of the street lamp, and uploads feedback information;

[0232] Step 7: When a fault occurs, the central management platform generates a fault alarm message and sends it to the maintenance terminal. The maintenance terminal completes the fault processing based on the information and uploads the status update.

[0233] The steps of optimizing control strategy generation include:

[0234]

[0235] Where is the total energy consumption, is the power consumption of the street lamp, and is the duration of its on-time;

[0236] Differentiated control strategies are generated in combination with zoning characteristics to ensure that street lights in key areas are turned on first and energy consumption is reduced during non-peak hours.

[0237] Fault detection includes:

[0238] When the power consumption data deviates from the set value or exceeds the allowable fluctuation range, the formula is:

[0239] ΔP=|P 实时 -P 预测 |

[0240] Determine whether a fault alarm is triggered;

[0241] Upload fault point information to the central management platform and synchronize it to the maintenance terminal so that maintenance personnel can quickly locate and repair the fault.

[0242] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A multi-street lamp digital power supply network control system, characterized in that: include: A digital power supply module, installed in each street lamp unit, for supplying power to and monitoring the street lamp in real time, the digital power supply module comprising a power factor correction unit, a real-time monitoring unit and an execution unit; The data acquisition module is used to collect the voltage, current, and power electrical parameters of each street lamp unit, and collect the external environmental data of ambient brightness, temperature and humidity through the environmental sensing device; A regional control node, which is connected to multiple digital power modules for integrating electrical parameters and environmental data of branch circuits and uploading them to a central management platform, wherein the regional control node has local data processing capabilities and autonomous control functions; A central management platform connected to each regional control node, used to generate an optimization control strategy based on the received data, the central management platform comprising a data fusion unit, a load prediction unit, an optimization strategy unit and a fault detection unit; The communication module uses a low-power wireless communication protocol to connect the digital power module, regional control node and central management platform to upload data and issue commands; Maintenance terminal, which is connected to the central management platform to receive fault alarm information and send maintenance status feedback; Among them, the central management platform generates an optimization control strategy through fusion data analysis to dynamically adjust the switching status and brightness of each street lamp.

2. A multi-street lamp digital power supply network control system according to claim 1, characterized in that: The digital power module comprises: Power factor correction unit, used to correct reactive power and improve power supply efficiency; A real-time monitoring unit for collecting the supply voltage, current and power and converting them into digital signals; The execution unit is used to receive control instructions and adjust the switch state and brightness of the street light.

3. A multi-street lamp digital power supply network control system according to claim 1, characterized in that: The data acquisition module comprises: Voltage sensor, used to detect the power supply voltage in real time; CT sensor, used to collect the current value of the branch circuit; Light sensor, used to detect ambient brightness; Temperature and humidity sensors are used to obtain temperature and humidity information of the street lamp operating environment.

4. A multi-street lamp digital power supply network control system according to claim 1, characterized in that: The regional control node has local processing capabilities for: Perform preliminary processing on the received branch circuit data to generate analysis results of street lamp power consumption and environmental status in the area; When the central management platform fails to respond, the pre-stored regional control strategy is executed to achieve local autonomy; Upload the power consumption, voltage and fault status information of street lamps in this area to the central management platform.

5. A multi-street lamp digital power supply network control system according to claim 1, characterized in that: The central management platform includes: Data fusion unit, used to integrate power consumption, voltage, and environmental perception data, and perform data cleaning and normalization processing; A load prediction unit, which generates load prediction results based on historical data and real-time data, and the prediction results are used to generate street lamp brightness and switch control strategies for different time periods; Optimization strategy unit, used to generate energy-saving control strategy and partition control strategy, and dynamically adjust the switch status and brightness of street lights; The fault detection unit is used to monitor the operating status of street lamps in real time, generate fault alarm information, and guide maintenance personnel to repair the faults.

6. A multi-street lamp digital power supply network control system according to claim 1, characterized in that: The communication module adopts the LoRa communication protocol to achieve low-power data transmission between the regional node and the digital power module.

7. A multi-street lamp digital power supply network control system according to claim 1, characterized in that: The maintenance terminal has the following functions: Receive fault alarm information in real time, including fault location, fault cause and recommended treatment measures; Upload the fault handling status through the maintenance terminal so that the central management platform can update the street light operation status.

8. A remote management method for a multi-street lamp digital power supply network control system, according to a multi-street lamp digital power supply network control system as claimed in any one of claims 1 to 7, characterized in that: The following steps are involved: Step 1: Initialize the digital power module, data acquisition module, regional control node and central management platform, establish communication connection and set system parameters; Step 2: The data acquisition module collects the voltage, current, power consumption and environmental perception data of the street lamp unit; Step 3: The regional control node performs preliminary processing on the collected data and uploads the results to the central management platform; Step 4: The central management platform integrates power consumption data and environmental data and generates load prediction results based on machine learning algorithms; Step 5: The central management platform generates an optimized control strategy based on the prediction results and real-time status and sends it to the regional control node; Step 6: The regional control node executes the control strategy, dynamically adjusts the switch status and brightness of the street lamp, and uploads feedback information; Step 7: When a fault occurs, the central management platform generates a fault alarm message and sends it to the maintenance terminal. The maintenance terminal completes the fault processing based on the information and uploads the status update.

9. A remote management method for a multi-street lamp digital power supply network control system according to claim 8, characterized in that: The optimization control strategy generation step comprises: Where is the total energy consumption, is the power consumption of the street lamp, and is the duration of its on-time; Differentiated control strategies are generated in combination with zoning characteristics to ensure that street lights in key areas are turned on first and energy consumption is reduced during non-peak hours.

10. The remote management method of a multi-street lamp digital power supply network control system according to claim 8, characterized in that: The fault detection comprises: When the power consumption data deviates from the set value or exceeds the allowable fluctuation range, the formula is: ΔP=|P 实时 -P 预测 | Determine whether a fault alarm is triggered; Upload fault point information to the central management platform and synchronize it to the maintenance terminal so that maintenance personnel can quickly locate and repair the fault.

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