Power distribution monitoring system, cloud server, display screen power distribution monitoring system and power acquisition card

Abstract

The invention provides a power distribution monitoring system, a cloud server, a display screen power distribution monitoring system and a power supply acquisition card, the power distribution monitoring system comprises the power supply acquisition card, an intelligent gateway and at least two signal acquisition devices, and the power supply acquisition card is provided with an electric signal monitoring device and a temperature signal monitoring device; the power supply acquisition card is used for acquiring signal data acquired by at least two signal acquirers on the display screen, and the signal data comprises electric signal data and temperature signal data; the electric signal monitoring equipment is used for processing the electric signal data; the temperature signal monitoring equipment is used for processing the temperature signal data; and the power supply acquisition card is also used for uploading the processed signal data to the cloud server through the intelligent gateway, so that the cloud server executes at least one function of data visualization, data alarm and data storage based on the signal data. The reliability and efficiency of the system are improved, and the operation and maintenance cost is reduced.

Description

Technical Field

[0001] The present specification relates to the technical field of automation, and in particular to a power distribution monitoring system, a cloud server, a display screen power distribution monitoring system and a power acquisition card. Background Art

[0002] With the development of automation technology, the demand for intelligent and digital distribution networks is growing. As the core carrier for sensing the operating status of equipment, the distribution monitoring system has been widely used in industrial production, urban power supply, new energy access, the Internet of Things and other fields.

[0003] At present, the power distribution monitoring system realizes data collection through signal collectors, which can complete the recording of signal data collected on the equipment and provide data support for equipment operation and maintenance.

[0004] However, distribution monitoring systems are usually limited to basic data collection and lack the ability to further process data. This means that when faced with complex data pattern recognition and fault diagnosis, existing systems cannot provide effective analysis results. At the same time, the distribution monitoring system lacks cloud processing capabilities, resulting in delayed or unstable data transmission, which in turn causes the failure of real-time monitoring and rapid response mechanisms. It may lack complete data visualization, data alarms and data storage, resulting in the risk of delayed maintenance decisions and waste of resources, reducing the reliability and efficiency of the system, and increasing unnecessary operating costs and safety risks. Therefore, there is an urgent need for a distribution monitoring system that can achieve efficient data processing and analysis and ensure the stability and real-time nature of data transmission. Summary of the invention

[0005] In view of this, the embodiment of this specification provides a power distribution monitoring system. This specification also relates to a cloud server, a display screen power distribution monitoring system, a power acquisition card, a data processing method, a computing device, a computer-readable storage medium and a computer program product to solve the above problems existing in the prior art.

[0006] According to a first aspect of an embodiment of this specification, there is provided a power distribution monitoring system, comprising: a power acquisition card, an intelligent gateway, and at least two signal collectors, wherein an electric signal monitoring device and a temperature signal monitoring device are installed on the power acquisition card; A power acquisition card, used to acquire signal data collected by at least two signal collectors on the display screen, wherein the signal data includes electrical signal data and temperature signal data; Electrical signal monitoring equipment, used for processing electrical signal data; Temperature signal monitoring equipment, used for processing temperature signal data; The power acquisition card is also used to upload the processed signal data to the cloud server through the intelligent gateway, so that the cloud server can perform at least one function of data visualization, data alarm and data storage based on the signal data.

[0007] According to the second aspect of the embodiments of this specification, a cloud server is provided, which is used to receive, process and store processed signal data uploaded by the above-mentioned power distribution monitoring system through an intelligent gateway, and perform at least one function of data visualization, data alarm and data storage based on the signal data.

[0008] According to a third aspect of the embodiments of this specification, a display screen power distribution monitoring system is provided, including a display screen, the above-mentioned power distribution monitoring system and a cloud server.

[0009] According to a fourth aspect of the embodiments of this specification, there is provided a power acquisition card, including a voltage signal acquisition channel, a current signal acquisition channel and a temperature signal acquisition channel, wherein the intelligent gateway is connected to the power acquisition card via a communication transmission line, receives processed signal data and uploads it to a cloud server; The voltage signal acquisition channel includes a voltage signal collector and an electrical signal monitoring device; wherein the voltage signal collector collects the voltage signal on the display screen through the AC input terminal, and converts the voltage signal into electrical signal data through a sampling resistor, and the electrical signal monitoring device processes the electrical signal data; The current signal acquisition channel includes a current signal collector and an electrical signal monitoring device; wherein the current signal collector collects the current signal on the display screen through the DC input terminal and converts the current signal into electrical signal data through the Hall sensor, and the electrical signal monitoring device processes the electrical signal data; The temperature signal acquisition channel includes a thermistor temperature sensor and a temperature signal monitoring device; wherein the thermistor temperature sensor measures the ambient temperature of the display screen and converts the ambient temperature into temperature signal data through the thermistor, and the temperature signal monitoring device processes the temperature signal data.

[0010] According to a fifth aspect of the embodiments of this specification, a data processing method is provided, which is applied to the above-mentioned power distribution monitoring system, and the method includes: Acquire signal data collected by at least two signal collectors on the display screen; Processing the electrical signal data by means of an electrical signal monitoring device, and / or processing the temperature signal data by means of a temperature signal monitoring device; Upload the processed signal data to the cloud server through the intelligent gateway; At least one function of data visualization, data alarm and data storage is performed on the cloud server based on the uploaded signal data.

[0011] According to the sixth aspect of the embodiments of this specification, a computing device is provided, including a memory, a processor, and a computer program / instructions stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned data processing method when executing the computer program / instructions.

[0012] According to a seventh aspect of the embodiments of this specification, a computer-readable storage medium is provided, which stores a computer program / instruction, and the computer program / instruction implements the steps of the above-mentioned data processing method when executed by a processor.

[0013] According to an eighth aspect of the embodiments of this specification, a computer program product is provided, comprising a computer program / instruction, which implements the steps of the above-mentioned data processing method when executed by a processor.

[0014] The present specification provides a power distribution monitoring system, including: a power acquisition card, an intelligent gateway, and at least two signal collectors, wherein an electrical signal monitoring device and a temperature signal monitoring device are installed on the power acquisition card; the power acquisition card is used to obtain signal data collected by at least two signal collectors on a display screen, wherein the signal data includes electrical signal data and temperature signal data; the electrical signal monitoring device is used to process the electrical signal data; the temperature signal monitoring device is used to process the temperature signal data; the power acquisition card is also used to upload the processed signal data to a cloud server through the intelligent gateway, so that the cloud server performs at least one function of data visualization, data alarm and data storage based on the signal data.

[0015] In one embodiment of this specification, the power distribution monitoring system uses a power acquisition card to integrate an electric signal monitoring device and a temperature signal monitoring device, which can not only obtain traditional electric signal data, but also monitor temperature signal data at the same time, providing more comprehensive data support, so that the power distribution monitoring system can provide a more accurate data basis when facing complex data pattern recognition, and enhance the ability of fault diagnosis. The electric signal monitoring device and the temperature signal monitoring device process the collected data respectively, improve the validity and accuracy of the signal data, improve the intelligent processing of the power distribution monitoring system, help to quickly identify potential faults, and improve operation and maintenance efficiency and reliability. The power distribution monitoring system uploads the processed signal data to the cloud server through the intelligent gateway, ensuring the stability and real-time performance of data transmission, and overcoming the problem of data transmission delay or instability in the traditional system. The cloud server can perform efficient data visualization, data alarm and data storage functions, integrate local intelligent processing and cloud advanced decision-making functions, not only solve the deficiencies of traditional systems in data processing, transmission stability and real-time performance, but also further improve the reliability and efficiency of the system and reduce operation and maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a structural diagram of a power distribution monitoring system provided in an embodiment of this specification; Figure 2 It is a structural diagram of a power distribution monitoring system provided in an embodiment of this specification; Figure 3 It is a structural diagram of a cloud server provided in an embodiment of this specification; Figure 4 It is a structural schematic diagram of a display screen power distribution monitoring system provided in an embodiment of this specification; Figure 5 It is a structural schematic diagram of a power acquisition card provided in an embodiment of this specification; Figure 6 is a flow chart of a data processing method provided by an embodiment of this specification; Figure 7 It is a structural block diagram of a computing device provided in an embodiment of this specification. DETAILED DESCRIPTION

[0017] Many specific details are described in the following description to facilitate a full understanding of this specification. However, this specification can be implemented in many other ways than those described herein, and those skilled in the art can make similar generalizations without violating the connotation of this specification, so this specification is not limited to the specific implementation disclosed below.

[0018] The terms used in one or more embodiments of this specification are only for the purpose of describing specific embodiments, and are not intended to limit one or more embodiments of this specification. The singular forms of "a", "said" and "the" used in one or more embodiments of this specification and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used in one or more embodiments of this specification refers to and includes any or all possible combinations of one or more associated listed items.

[0019] It should be understood that although the terms first, second, etc. may be used to describe various information in one or more embodiments of this specification, this information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of one or more embodiments of this specification, the first may also be referred to as the second, and similarly, the second may also be referred to as the first. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0020] In this specification, a power distribution monitoring system is provided. This specification also relates to a cloud server, a display screen power distribution monitoring system, a power acquisition card, a data processing method, a computing device, a computer-readable storage medium and a computer program product, which are described in detail one by one in the following embodiments.

[0021] Figure 1 The schematic diagram of the structure of a power distribution monitoring system provided in an embodiment of the present specification is shown. The power distribution monitoring system 100 includes: a power acquisition card 110, an intelligent gateway 120, and at least two signal collectors 130, wherein an electric signal monitoring device 1110 and a temperature signal monitoring device 1120 are installed on the power acquisition card 110; The power acquisition card 110 is used to acquire signal data collected by at least two signal collectors 130 on the display screen, wherein the signal data includes electrical signal data and temperature signal data; The electrical signal monitoring device 1110 is used to process the electrical signal data; The temperature signal monitoring device 1120 is used to process the temperature signal data; The power acquisition card 110 is also used to upload the processed signal data to the cloud server through the intelligent gateway 120, so that the cloud server performs at least one function of data visualization, data alarm and data storage based on the signal data.

[0022] The power distribution monitoring system 100 is a monitoring system for devices that integrates data collection, local processing, and cloud interaction. The power distribution monitoring system 100 improves the equipment status diagnosis capability and operation and maintenance efficiency through multi-dimensional signal (including electrical signal data and temperature signal data) monitoring and real-time data transmission. The power distribution monitoring system 100 adopts an "edge-cloud" hybrid architecture, including a local end (signal collector, power acquisition card, smart gateway) and a cloud server.

[0023] Optionally, the hardware configuration of the power distribution monitoring system 100 includes: local layer: signal collector 130 (such as current / voltage sensor, temperature sensor), power acquisition card 110 (including thread programmable gate array Field Programmable Gate Array, referred to as FPGA / microprocessor), intelligent gateway 120 (supporting multiple communication protocols). Cloud layer: based on distributed database (such as time series database), visualization engine (such as general data visualization tool) and AI analysis module (such as lightweight machine learning framework). Communication protocol of power distribution monitoring system 100: The local layer is interconnected through RS-485 / Controller Area Network (Controller Area Network, referred to as CAN) bus, and the cloud interaction adopts Message Queuing Telemetry Transport (MQTT) / Transmission Control Protocol (TCP).

[0024] For example, in the LED advertising screen power supply system, the power distribution monitoring system 100 collects the current, voltage (electrical signal) and radiator temperature (temperature signal) of the screen power module in real time, and synchronizes the data to the cloud server through the intelligent gateway 120.

[0025] The power acquisition card 110 is the local data processing center of the power distribution monitoring system 100, responsible for integrating the original signal data collected by at least two signal collectors 130, performing preliminary filtering, format conversion, anomaly detection and other processing, and managing the data transmission link to the cloud server.

[0026] Optionally, the architecture and configuration of the power acquisition card 110 include: core module: signal processing unit: analog-to-digital converter (ADC) and digital signal processor (DSP), supporting parallel processing of electrical signals (0-10V / 4-20mA) and temperature signals (thermocouple, TC / resistance temperature detector, RTD). Communication interface: RS-485, Ethernet port and wireless module (such as low power wide area network, LPWAN). Power management: built-in redundant power input, supporting Power over Ethernet (PoE). Software function: embedded real-time operating system (RTOS), realizing data caching, local threshold alarm and transmission priority control.

[0027] For example, the power acquisition card 110 receives data from the current sensor (signal collector 130) and the heat sink temperature sensor of the LED power module, eliminates electromagnetic interference noise through the digital signal processor, and then uploads the standardized data packet to the cloud server through the smart gateway 120.

[0028] The intelligent gateway 120 is a data relay node connecting the power distribution monitoring system 100 and the cloud server. It has protocol conversion, edge computing and link redundancy functions to ensure stable transmission and low-latency response of high-concurrency data streams.

[0029] Optionally, the architecture and configuration of the intelligent gateway 120 include: Hardware configuration: multi-core processor with edge AI acceleration chip. Dual-mode communication: support 4G / 5G cellular network and Wi-Fi 6 dual backup links. Software function: Protocol stack: compatible with industrial protocols such as Modbus, Open Platform Communications Unified Architecture (OPC UA), Constrained Application Protocol (CoAP), etc., converted to MQTT / TLS encrypted transmission. Edge computing: perform data compression and short-term abnormal pattern recognition (such as sliding window statistics).

[0030] For example, the smart gateway 120 compresses the current data of the LED screen in real time, identifies periodic fluctuations (such as changes in power consumption caused by switching of advertising content), and only uploads key feature data to the cloud to reduce bandwidth usage. When the network is interrupted, the data is temporarily stored and retransmitted after recovery.

[0031] The signal collector 130 is a terminal sensing device deployed on the device, which is used to convert physical quantities (such as current, temperature) into standard digital signals.

[0032] Optionally, the architecture and configuration of the signal collector 130 include: Electrical signal collector: Hall sensor, sampling resistor, shunt, etc. Temperature collector: infrared thermal imager, thermistor temperature sensor.

[0033] For example, in the power distribution cabinet of the LED screen, two current collectors 130 are respectively installed on the A phase and the B phase of the three-phase power supply; the temperature collector 130 is installed on the heat dissipation vent of the power module and the surface of the LED driver chip.

[0034] The electric signal monitoring device 1110 is a dedicated functional module of the power acquisition card 110 and is used for processing electric signal data (including voltage, current, and power).

[0035] Optionally, the architecture and configuration of the electrical signal detection device 1110 include: Hardware composition: precision operational amplifier for signal conditioning. High-speed analog-to-digital converter to achieve 16-bit resolution, 1MSPS sampling rate. Algorithm function: real-time fast Fourier change analysis (detection of harmonic distortion rate). Dynamic threshold adjustment (adaptive setting of alarm threshold based on historical data).

[0036] For example, the electrical signal monitoring device 1110 continuously analyzes the current waveform of the LED power supply. When it detects that the third harmonic content exceeds 15% (which may indicate a rectifier failure), it immediately marks the abnormal data and uploads it to the cloud server as a priority.

[0037] The temperature signal monitoring device 1120 is a dedicated functional module of the power acquisition card 110 and is used for processing temperature signal data.

[0038] Optionally, the architecture and configuration of the temperature signal monitoring device 1120 include: Hardware design: Multi-channel temperature input: Supports synchronous acquisition of 8-channel PT100 / thermocouple signals. Cold end compensation circuit: Uses an integrated temperature sensor to eliminate the influence of ambient temperature. Software function: Thermal model prediction: Predicts the temperature rise trend of the equipment based on a time series prediction algorithm. Gradient alarm: When the temperature change rate per unit time exceeds the set value, an early warning is triggered.

[0039] For example, the temperature signal monitoring device 1120 monitors the surface temperature of the LED driver IC. When it detects that the temperature in a certain area rises by 5°C within 10 minutes (possibly due to a cooling fan failure), it activates a secondary alarm and links the smart gateway 120 to shorten the data reporting interval to 1 second.

[0040] In the embodiments of this specification, the power distribution monitoring system integrates electrical signal and temperature signal monitoring equipment to provide comprehensive data support and enhance fault diagnosis capabilities. Data is uploaded to the cloud server through the intelligent gateway to ensure transmission stability and real-time performance, and to achieve data visualization, alarm and storage. Combining local intelligent processing with cloud-based advanced decision-making functions, it solves the shortcomings of traditional systems in data processing and transmission, improves system reliability and efficiency, and reduces operation and maintenance costs.

[0041] In an optional embodiment of the present specification, the electrical signal monitoring device 1110 and the temperature signal monitoring device 1120 each include at least one of the following: a data preprocessing module, a data classification module, a data analysis module, and a machine learning model training module; Among them, the data preprocessing module is used to perform denoising and standardization processing on signal data; A data classification module is used to classify signal data by type; A data analysis module, used for statistical analysis of signal data; The machine learning model training module is used to train the prediction model to identify abnormal signal data.

[0042] The data preprocessing module is a unit module for preprocessing signal data in the electrical signal monitoring device 1110 and the temperature signal monitoring device 1120. It is used to perform preprocessing operations such as denoising, normalization, and format unification on the original signal data to eliminate environmental interference and adapt to subsequent analysis requirements. The goal is to improve the system's sensitivity to abnormal events and analysis accuracy by optimizing data quality.

[0043] Optionally, the architecture and configuration of the data preprocessing module include: Hardware architecture: Signal conditioning circuit: Contains low-pass filter and isolation amplifier for suppressing high-frequency noise and electrical isolation. Analog-to-digital converter digital / signal processor chip: High-speed analog-to-digital converter and digital signal processor work together to achieve signal digitization and real-time filtering. Software configuration: Algorithm library: Integrated wavelet transform (denoising), sliding window mean (smoothing), Z-score standardization (data normalization) and other algorithms. Real-time guarantee: Task scheduling based on real-time operating system to ensure that the preprocessing delay is less than 10ms.

[0044] For example, in LED screen current monitoring, the data preprocessing module uses a hardware filter to eliminate the pulse noise caused by display refresh, and then uses wavelet transform to separate the 50Hz fundamental current and high-frequency harmonic components.

[0045] The data classification module is a unit module for classifying signal data in the electrical signal monitoring device 1110 and the temperature signal monitoring device 1120, which is used to realize data diversion and targeted processing, with the goal of reducing the complexity of subsequent processing and providing a basis for priority management.

[0046] Optionally, the architecture and configuration of the data classification module include: Hardware architecture: Embedded processing unit: Use multi-core microcontroller or thread-programmable gate array to support parallel classification tasks. Storage partition: Configure non-volatile memory to store classification rule base. Software configuration: Classification strategy: Rule engine: Hard classification based on thresholds (such as current > 5A is abnormal) and time windows (such as continuous high temperature exceeding the limit). Clustering algorithm: Unsupervised learning (such as K-means) automatically divides data patterns. Dynamic label classification: Supports classification strategy updates issued by the cloud.

[0047] For example, the data classification module divides the current signal of the LED power supply into three categories: "steady-state operation", "screen switching transient" and "overload risk": Steady-state operation: current fluctuations are within the range of ±2%, marked as low-priority data, and uploaded at a regular frequency. Screen switching transient: short-term current surges but consistent with historical patterns, classified as normal events, and only recorded in the log. Overload risk: the current continues to exceed the limit and is accompanied by harmonic distortion, marked as high-risk data, triggering real-time alarms and priority transmission.

[0048] The data analysis module is a unit module for performing data analysis on signal data in the electrical signal monitoring device 1110 and the temperature signal monitoring device 1120. Through data analysis operations such as statistical modeling, trend prediction, and correlation analysis, it extracts device status characteristics from the signal data to provide a quantitative basis for fault diagnosis.

[0049] Optionally, the architecture and configuration of the data analysis module include: Hardware architecture: high-performance digital signal processor, supporting floating-point operations and matrix acceleration. Coprocessor: optional AI acceleration chip to improve computing efficiency. Software configuration: Statistical tool library: including sliding variance calculation, spectrum analysis, Kalman filter prediction, etc. Correlation analysis engine: based on Pearson correlation coefficient or mutual information algorithm, identify multi-signal coupling relationship (such as the correlation between current surge and temperature rise).

[0050] For example, when analyzing the temperature of the LED driver chip, the data analysis module performs trend prediction: based on the pre-built mathematical model, the temperature change curve in the next hour is predicted. If the slope exceeds the safety threshold, the cooling fan speed adjustment command is triggered in advance. The data analysis module also performs correlation analysis: it is found that the abnormal temperature rise in a certain area is strongly correlated with the current harmonic distortion rate of the corresponding power phase, which prompts the problem of aging capacitor in this phase to be checked.

[0051] The machine learning model training module is a unit module in the electrical signal monitoring device 1110 and the temperature signal monitoring device 1120 that trains the machine learning model (such as decision tree, LSTM) through historical data, and is used to realize the fault pattern recognition and prediction function. It can support model iterative optimization and edge-cloud collaborative training, taking into account both real-time and accuracy.

[0052] Optionally, the architecture and configuration of the machine learning model training module include: Hardware architecture: Edge training node: Smart gateway 120 equipped with GPU / NPU, supporting federated learning framework. Software configuration: Feature engineering tool: Automatically extract time domain (mean, variance), frequency domain (harmonic energy) features. Model types of prediction models include but are not limited to: decision tree model, RNN model, LSTM model, Transformer model.

[0053] For example, the machine learning model training module collects historical data (such as 1,000 sets of LED power supply failure cases) and trains the LSTM model to predict the life of capacitors. Determine the input features: current harmonic content, temperature rise rate, and average daily working hours. Determine the output: the remaining life percentage (error <5%). Edge deployment: quantize and compress the trained prediction model and deploy it to the power acquisition card 110 to monitor and warn in real time: "The remaining life of the A phase capacitor is 12%."

[0054] In the embodiments of this specification, by integrating the data preprocessing module, data classification module, data analysis module and machine learning model training module, the electrical signal monitoring device 1110 and the temperature signal monitoring device 1120 significantly improve the intelligence level and fault diagnosis ability of the power distribution monitoring system. The data preprocessing module effectively eliminates noise interference and ensures the data quality of subsequent analysis; the data classification module realizes efficient data diversion and priority management, reducing the processing complexity; the data analysis module extracts the key features of the equipment status through statistical modeling and association analysis, providing a quantitative basis for fault prediction; the machine learning model training module uses historical data to train a high-precision prediction model, realizing accurate identification and early warning of fault modes. The above modules not only improve the response speed and accuracy of the system, but also greatly reduce operation and maintenance costs and safety risks.

[0055] In an optional embodiment of this specification, the intelligent gateway 120 includes a multi-mode communication module and a protocol configuration interface; Among them, the multi-mode communication module is used to support multi-channel transmission of communication protocols; The protocol configuration interface is used to receive and configure the communication protocol parameters of the multi-mode communication module through a local serial port debugging tool and / or a remote data interface.

[0056] The multi-mode communication module is a communication unit module of the intelligent gateway 120, which supports multi-channel parallel transmission capabilities of multiple communication protocols. Through dynamic switching or redundant link design, it ensures the stability and real-time performance of data transmission in complex network environments. The multi-mode communication module solves the problem that a single communication mode is susceptible to interference or insufficient bandwidth, and adapts to the transmission requirements of different scenarios.

[0057] Optionally, the architecture and configuration of the multi-mode communication module include: Hardware architecture: Multi-mode chipset: RF front-end integrating cellular network, Wireless Fidelity 6 (Wi-Fi 6), low-power wide area network and other communication formats. Software configuration: Protocol stack management: Parallel operation support of protocol stacks such as built-in cellular network, wireless fidelity, message queue telemetry transmission protocol, transmission control protocol, etc. Intelligent switching algorithm: Automatically select the transmission channel based on the comprehensive evaluation of signal strength, network delay and packet loss rate. Link redundancy mechanism: In dual-channel hot backup mode, switch to the backup link within a certain period of time after the main link fails.

[0058] For example, in the remote monitoring scenario of LED advertising screens, the multi-mode communication module enables the following transmission modes at the same time: Main link: Real-time upload of current and temperature data to the cloud via the 5G cellular network, with bandwidth priority to ensure alarm information transmission. Backup link: Wireless Fidelity 6 connects to the on-site LAN for firmware upgrades and large-scale log transmission. When the advertising screen is installed in an underground garage and causes 5G signal attenuation, the multi-mode communication module automatically switches to a low-power wide area network to maintain low-speed data transmission to avoid monitoring interruptions.

[0059] The protocol configuration interface is the protocol management hub of the intelligent gateway 120, providing local or remote protocol parameter configuration capabilities and supporting flexible adaptation of communication specifications for different industrial scenarios. The protocol configuration interface reduces the complexity of system deployment and achieves seamless integration of cross-vendor devices.

[0060] Optionally, the architecture and configuration of the protocol configuration interface include: Hardware architecture: Multi-interface fusion: integrated Bluetooth, RS-485 serial port, Ethernet interface, compatible with the physical connection requirements of different configuration scenarios. Security chip: built-in security element chip, encrypted storage of message queue telemetry transmission protocol / transmission control protocol parameters (such as certificates, keys). Software function: Protocol template library: preset standardized parameter templates (such as server address, port number, topic path) of protocols such as message queue telemetry transmission protocol and transmission control protocol. Dynamic loading engine: supports receiving configuration files in JSON format through air distribution network technology (such as Airkiss) to realize wireless parameter injection. Parameter verification mechanism: based on regular expressions and network probe tools, automatically detects the legitimacy of configuration (such as IP address format, port range).

[0061] For example, the protocol configuration interface supports the Airkiss network configuration mode: when the advertising screen is installed on the top of a high-rise building, the operation and maintenance personnel send a Wi-Fi broadcast packet containing MQTT parameters (the SSID encrypted field carries the JSON configuration) through a mobile phone APP on the ground.

[0062] For example, the protocol configuration interface supports serial port debugging configuration: when the on-site network environment shields wireless signals, engineers use serial port tools to directly modify the TCP heartbeat interval parameters (from the default 60 seconds to 30 seconds).

[0063] For example, the protocol configuration interface supports Bluetooth near-field configuration: in the confined space of the power distribution cabinet, operation and maintenance personnel can quickly adjust the data reporting frequency (from 1 second / time to 5 seconds / time) through the Bluetooth of their mobile phones to reduce the network load.

[0064] In the embodiments of this specification, the intelligent gateway 120 significantly improves the adaptability and flexibility of the power distribution monitoring system by integrating a multi-mode communication module and a protocol configuration interface. The multi-mode communication module supports multi-channel transmission of multiple protocols, and ensures the stability and real-time performance of data transmission through dynamic switching and link redundancy, automatically selects the optimal path, prioritizes the transmission of key data, and enhances system reliability and response speed. The protocol configuration interface provides local or remote configuration capabilities, simplifies cross-manufacturer equipment integration, reduces deployment complexity, and reduces operation and maintenance costs and time. It supports multiple configuration methods such as Bluetooth, serial port debugging, and remote data interface, which enhances the ease of use and maintenance of the system and realizes efficient and secure data transmission and management.

[0065] In an optional embodiment of the present specification, the power distribution monitoring system 100 further includes an expansion interface module; Among them, the expansion interface module includes: Interface connection unit, used to achieve physical connection with other devices; Data exchange processing unit, used to manage data transmission and interaction protocols with other devices; The function development support unit is used to provide development toolkits and application programming interfaces to expand the functions and customize the development of the power distribution monitoring system.

[0066] The extended interface module is an open function extension interface module of the power distribution monitoring system 100, which provides hardware connection, data interaction and secondary development support capabilities, and is used to realize customized extension of system functions through standardized interface design. The goal is to support users to flexibly access third-party devices or develop customized functions according to scenario requirements.

[0067] Optionally, the architecture and configuration of the expansion interface module include: Hardware architecture: Multi-protocol physical interface: integrated RS-485, Ethernet, General Purpose Input / Output (GPIO) and other interfaces, supporting the access of external devices such as sensors and actuators. Modular slot: reserved micro-controller slot, allowing the expansion of edge computing capabilities. Software configuration: Protocol adaptation layer: built-in Modbus, open platform communication unified architecture and other industrial protocol parsing libraries. Dynamic loading mechanism: supports rapid deployment of user-defined function modules through containerization technology (such as Docker).

[0068] For example, a certain LED advertising screen needs to add an environmental humidity monitoring function: connect a third-party humidity sensor through the RS-485 interface of the expansion interface module. Associate and analyze the humidity signal data with the original electrical signal data and temperature signal data to warn of the risk of power module short circuit caused by excessive humidity.

[0069] The interface connection unit is the physical connection management unit of the extended interface module, which is used to provide a variety of standardized hardware interfaces and manage their electrical characteristics to ensure the physical layer compatibility of external devices and the power distribution monitoring system.

[0070] Optionally, the architecture and configuration of the interface connection unit include: Hardware architecture: Digital interface: configure CAN bus and Ethernet port. Analog interface: provide 5V voltage input. Isolation protection circuit: use optocoupler isolation and surge protection devices to prevent electromagnetic interference from damaging the power distribution monitoring system 100. Software configuration: Electrical parameter adaptation: automatically identify the interface type of the access device and configure the matching voltage / current threshold.

[0071] For example, a vibration sensor is added to the LED screen power distribution cabinet: the piezoelectric vibration sensor is connected through the GPIO pin of the interface connection unit. The interface connection unit automatically detects that the sensor output signal is in pulse frequency mode and configures the sampling rate to 1kHz.

[0072] The data exchange processing unit is the data protocol unit of the extended interface module, responsible for data format conversion, transmission control and interactive logic management between heterogeneous devices, and realizing seamless integration of multi-source data.

[0073] Optionally, the architecture and configuration of the data exchange processing unit include: Hardware architecture: Multi-core processor: Field programmable gate array equipped with dedicated protocol processing chip. Dual-port memory: Realize zero-copy transmission of high-concurrency data streams. Software configuration: Protocol conversion engine: Supports conversion between data formats such as JSON and binary. Realizes mapping conversion from Modbus to message queue telemetry transmission protocol. Quality of service control: Allocate bandwidth according to data priority.

[0074] For example, when connecting to a third-party smart meter, the data exchange processing unit parses the meter's DL / T645 data frame into JSON format, encapsulates it into a message queue telemetry transmission protocol message and uploads it to the cloud server. It temporarily stores the meter data when the network is interrupted, and retransmits it in timestamp order after recovery.

[0075] The function development support unit is a unit for secondary development of the extended interface module, providing tool chains and interface resources to lower the technical threshold for user customized function development.

[0076] Optionally, the architecture and configuration of the function development support unit include: Hardware architecture: Debug interface: Integrate the Joint Test Action Group (JTAG) interface and the Universal Serial Bus (USB) debug port. Software configuration: Software Development Kit (SDK): Provides an application programming interface (API) in Python / C++ language. Contains device driver libraries, algorithm templates (such as filtering algorithms, fast Fourier transform analysis codes).

[0077] For example, a user develops a screen brightness adaptive adjustment function: call the current sensor API through the SDK to obtain real-time power consumption data. Train the brightness-power consumption relationship model based on historical data. Verify the impact of the algorithm on the screen life in a simulation environment. Deploy to the microcontroller slot of the expansion interface module to automatically reduce the screen brightness according to the ambient light, reducing energy consumption by 20%.

[0078] In the embodiments of this specification, the extended interface module greatly enhances the flexibility and scalability of the power distribution monitoring system by providing hardware connection, data interaction and secondary development support. The interface connection unit ensures the physical layer compatibility between the external device and the system, the data exchange processing unit realizes the seamless integration and efficient transmission of multi-source data, and the function development support unit lowers the technical threshold for user customized function development. These designs enable the system to flexibly access third-party devices and support users to expand and optimize functions according to specific needs, which not only improves the adaptability and integration capabilities of the system, but also significantly reduces deployment time and operation and maintenance costs, providing users with a powerful and easy-to-customize solution.

[0079] With the above Figure 1 The embodiments of the specification correspond to the following: Figure 2 FIG. 1 shows a structural diagram of a power distribution monitoring system provided by an embodiment of the present specification, such as Figure 2 As shown: The positive and negative power supplies provide 5V DC voltage to the current signal collector, voltage signal collector, power acquisition card and intelligent gateway respectively.

[0080] The wired data communication and control interface on the power acquisition card is used for data communication and control, such as modbus, RS485, RS232 and other serial ports for data transmission. The main functions of the thermistor temperature sensor on the power acquisition card include temperature measurement, temperature control, temperature compensation and safety protection. The collected temperature signal data can be judged for early warning. For example, when the temperature limit is large, the output can be turned off in time to protect the safety of the equipment and increase the service life. The ground terminal on the power acquisition card is used with the output terminal. The 8-bit output on the power acquisition card has a maximum output of 2A per bit. The power acquisition card is connected to the voltage signal collector and the current signal collector to obtain the collected voltage signal data and current signal data respectively. The power acquisition card includes an electrical signal monitoring device and a temperature signal detection device to process the electrical signal data and the temperature signal data. The power acquisition card is connected to the digital display to display the current device ID, and the ID can be designed and adjusted by pressing the button. The power acquisition card and the intelligent gateway are connected through the CAN communication transmission line. The 5V DC voltage determines whether the current signal collector is normal, and the 220V AC voltage determines whether the voltage signal collector is normal.

[0081] The wired data communication and control interface on the smart gateway is used for data communication and control, such as modbus, which can support serial ports such as RS485 and RS232 for data transmission. The wireless data communication and control interface (RJ45) on the smart gateway is used to provide a network for the Wi-Fi module to carry out online communication and data transmission.

[0082] Figure 3A schematic diagram of the structure of a cloud server provided in an embodiment of the present specification is shown, wherein the cloud server 300 is used to receive, process and store processed signal data uploaded by the above-mentioned power distribution monitoring system through the intelligent gateway, and perform at least one function of data visualization, data alarm and data storage based on the signal data.

[0083] The cloud server is the remote intelligent processing center of the power distribution monitoring system. It is used to receive, store and analyze the processed signal data uploaded by the power distribution monitoring system through the intelligent gateway, and realize the full life cycle management of the equipment status through data visualization, alarm generation and advanced decision support functions. The cloud resources are used to conduct in-depth mining and global optimization of massive data to improve the system's predictive maintenance capabilities and comprehensive management efficiency.

[0084] Optionally, the architecture and configuration of the cloud server include: Hardware architecture: Distributed computing cluster: elastic computing nodes deployed based on containerization technology, supporting dynamic expansion and contraction. Storage layer design: Hot storage layer: time series database stores recent high-frequency monitoring data such as current, voltage, temperature, etc. (such as storing the data of the last 7 days, supporting millisecond-level queries). Cold storage layer: object storage system (such as distributed file system) archives historical data for long-term trend analysis and model training. AI acceleration hardware: equipped with graphics processing unit (Graphic Processing Unit, referred to as GPU) or neural network processor (Neural Processing Unit, referred to as NPU) to accelerate machine learning reasoning and training tasks. Software configuration: Data processing and analysis module: AI algorithm engine: integrated lightweight machine learning framework, supporting models such as anomaly detection (such as isolation forest algorithm) and life prediction. Standardized data comparison system: based on database index (such as B+ tree index), quickly match real-time data with preset standard thresholds. Communication protocol stack: support message queue telemetry transmission protocol and transmission control protocol to ensure efficient interaction with intelligent gateways. Visualization and alarm services: Visualization engine: Use WebGL technology to achieve three-dimensional dynamic display (such as temperature heat map superimposed on the LED screen structure model). Multi-level alarm strategy: Trigger different responses according to the degree of data deviation from the standard (such as SMS push for first-level alarm and equipment shutdown for second-level alarm).

[0085] For example, in the LED advertising screen monitoring scenario, the cloud server receives the current, voltage, and temperature data uploaded by the smart gateway and stores them in the time series database. A composite index (such as timestamp + device ID + signal type) is established to query the temperature change curve of a power module in the past hour at the millisecond level. The cloud server performs harmonic distortion detection: compares the real-time current harmonic content with the IEC limit in the standard database. If the 5th harmonic exceeds the limit (possibly due to rectifier aging), an alarm is triggered and the fault phase is marked. Capacitor life prediction: call the pre-trained LSTM model, input current fluctuation characteristics and temperature history data, and output the remaining life prediction value (such as "A phase filter capacitor remaining life 83 days"). Visualization and decision support: Generate a three-dimensional heat map of the LED screen and mark the high temperature area (such as the area where the driver chip temperature exceeds 85°C is marked in red). Automatically generate an operation and maintenance recommendation report: "It is recommended to replace the B phase power module during the low load period on Thursday morning" and push it to the management terminal.

[0086] In the embodiments of this specification, the power distribution monitoring system uploads the processed signal data to the cloud server through the intelligent gateway, ensuring the stability and real-time performance of data transmission, overcoming the problem of delayed or unstable data transmission in the traditional system. The cloud server can perform efficient data visualization, data alarm and data storage functions, integrating local intelligent processing with cloud advanced decision-making functions, which not only solves the deficiencies of traditional systems in data processing, transmission stability and real-time performance, but also further improves the reliability and efficiency of the system and reduces operation and maintenance costs.

[0087] In an optional embodiment of the present specification, the cloud server 300 includes a remote control module; Among them, the remote control module is also used to control the switch status of the power distribution monitoring system.

[0088] The remote control module is the command execution center of the cloud server 300, which is used to send control instructions to the power distribution monitoring system 100 to adjust its operating status and realize closed-loop management of the entire life cycle of the equipment. This module builds a collaborative mechanism between cloud decision-making and local execution through a two-way communication link, significantly improving the system's active intervention capability and operation and maintenance response efficiency.

[0089] Optionally, the architecture and configuration of the remote control module include: Hardware architecture: Command relay cluster: a microservice architecture with multi-node redundant deployment. Security authentication chip: an integrated encryption algorithm hardware acceleration unit to digitally sign and encrypt the transmission of control instructions. Software configuration: Command policy library: preset standardized control templates (such as device restart, power supply adjustment, data sampling rate adjustment). Permission classification mechanism: divide operation permissions (such as operators can only query status, engineers can trigger soft restart). Execution feedback system: real-time monitoring of command execution status, automatic retry or triggering of backup strategies when failure occurs.

[0090] For example, in the case of an overheated LED advertising screen, the remote control module performs multi-level linkage control: Level 1 response: When the temperature of the driver chip exceeds 90°C, it automatically issues a command to increase the speed of the cooling fan to the maximum level. Level 2 response: If the temperature continues to rise to 100°C and the current harmonic distortion rate exceeds 20%, the power module soft shutdown command is triggered to avoid hardware damage. Recovery mechanism: After the temperature drops back to the safety threshold, the power supply is remotely restarted and the self-test program is started. When the status is normal, the advertising playback is resumed.

[0091] In the embodiments of this specification, the remote control module realizes the remote switch status control of the power distribution monitoring system, which not only ensures the safe operation of the equipment, but also avoids the risk of misoperation, and significantly improves the intelligent level of system management.

[0092] In an optional embodiment of the present specification, the cloud server 300 is used to retrieve reference data from a database through a database index, and trigger an alarm when an error between the signal data and the reference data exceeds a threshold.

[0093] The cloud server 300 realizes rapid identification and accurate alarm of abnormal signals by constructing a dynamic database index and a reference data comparison engine.

[0094] Optionally, quantitative difference analysis between reference data and signal data is retrieved from the database through database indexing to trigger a multi-level alarm strategy, thereby improving the real-time and accuracy of fault diagnosis.

[0095] Optionally, the implementation of the database index and comparison mechanism includes: Database index construction: Index type: Use B+ tree index to optimize the range query efficiency of time series data, and combine hash index to accelerate the retrieval of key fields such as device ID and signal type. Partition strategy: Store data in shards according to time windows (such as hourly partitions) and device types (such as LED power modules and cooling fans) to reduce query latency. Reference data management: Health parameter library: Store device factory standard values, historical normal operating ranges (such as current fluctuations ±3%), and industry standard thresholds. Dynamic update mechanism: Based on the device aging model and machine learning prediction results, automatically adjust the reference data threshold at a preset frequency (such as daily / weekly) to adapt to the performance degradation of the device. Error comparison algorithm: Quantitative difference calculation: Use Euclidean distance to measure waveform similarity, or dynamic time warping algorithm to align asynchronous periodic signals. Threshold trigger logic: Set dual judgment conditions of absolute error (such as temperature deviation>5℃) and relative error (such as harmonic distortion rate exceeding 15%) to reduce false alarm rate.

[0096] For example, in the monitoring of LED power supply circuits, the cloud server performs data retrieval: the healthy electric ripple template (reference data) of the A-phase power module is quickly retrieved through the device ID index, including fundamental amplitude, harmonic distribution and other characteristics. Comparative analysis: The real-time collected current waveform is compared with the template through the fast Fourier transform spectrum to calculate the total harmonic distortion rate error. Alarm triggering: If the total harmonic distortion rate error exceeds the threshold (such as >10%), combined with the temperature rise trend, it is judged as "capacitor aging risk", and a secondary alarm is generated and pushed to the operation and maintenance terminal.

[0097] In the embodiments of this specification, through the dynamic comparison mechanism of database index and reference data, the cloud server 300 realizes the early detection and precise positioning of abnormal conditions of the power distribution system, effectively solves the problem of missed reports or false reports caused by the traditional system relying on fixed thresholds, and further improves the reliability and real-time performance of fault warning.

[0098] In an optional embodiment of the present specification, the reference data in the database is updated according to a preset frequency.

[0099] The dynamic update mechanism of reference data is the guarantee for cloud server 300 to maintain diagnostic accuracy. By presetting the frequency update strategy, it is ensured that the reference data always reflects the current health status of the equipment and changes in the operating environment, avoiding misjudgment caused by equipment aging or changes in working conditions.

[0100] For example, in the life management of LED screen power modules: at 2 a.m. every day, based on the current harmonic data of the past 7 days, the health threshold of the total harmonic distortion rate is recalculated (adjusted from the initial 5% to 5.2%, reflecting the slight aging of the capacitor). At the same time, after replacing the B-phase filter capacitor, the reference electric ripple template of this phase is automatically reset to eliminate the interference of old data on new components.

[0101] In the embodiments of this specification, the time period dynamic update mechanism of the reference data ensures the timeliness and adaptability of the diagnostic benchmark, improves the system's response sensitivity to changes in device status, and provides reliable data support for long-term stable operation.

[0102] Figure 4 A schematic diagram of the structure of a display screen power distribution monitoring system provided in an embodiment of the present specification is shown. The display screen power distribution monitoring system 400 includes a display screen 410 , the power distribution monitoring system 420 and a cloud server 430 .

[0103] Display screen 410 is the monitored subject and data presentation terminal of the power distribution monitoring system. It integrates LED drive module, power conversion unit and heat dissipation system, and realizes multi-dimensional state perception and intelligent control of the power supply system through power distribution monitoring system 420. Display screen 410 and power distribution monitoring system 420 form a closed-loop control, which not only provides raw signal data as a monitoring object, but also displays cloud analysis results as a human-computer interaction interface.

[0104] In the embodiment of this specification, the display screen power distribution monitoring system uses a power acquisition card to integrate an electric signal monitoring device and a temperature signal monitoring device, which can not only obtain the electric signal data of the traditional display screen, but also monitor the temperature signal data of the display screen at the same time, providing more comprehensive data support, so that the display screen power distribution monitoring system can provide a more accurate data basis when facing complex data pattern recognition, and enhance the fault diagnosis ability of the display screen. The electric signal monitoring device and the temperature signal monitoring device process the collected data respectively, improve the validity and accuracy of the signal data, improve the intelligent processing of the display screen power distribution monitoring system, help to quickly identify the potential faults of the display screen, and improve the operation and maintenance efficiency and reliability of the display screen. The display screen power distribution monitoring system uploads the processed signal data to the cloud server through the intelligent gateway, ensuring the stability and real-time performance of data transmission, and overcoming the problem of data transmission delay or instability in the traditional system. The cloud server can perform efficient data visualization, data alarm and data storage functions, integrate local intelligent processing and cloud advanced decision-making functions, not only solve the deficiencies of traditional systems in data processing, transmission stability and real-time performance, but also further improve the reliability and efficiency of the system, and reduce the operation and maintenance cost of the display screen.

[0105] The above is a schematic scheme of a display screen power distribution monitoring system of this embodiment. It should be noted that the technical scheme of the display screen power distribution monitoring system and the technical scheme of the above power distribution monitoring system belong to the same concept, and the details not described in detail in the technical scheme of the display screen power distribution monitoring system can be referred to the description of the technical scheme of the above power distribution monitoring system.

[0106] Figure 5 The schematic diagram of the structure of a power acquisition card provided in an embodiment of the present specification is shown. The power acquisition card 500 includes a voltage signal acquisition channel 510, a current signal acquisition channel 520 and a temperature signal acquisition channel 530. The intelligent gateway 502 is connected to the power acquisition card 500 through a communication transmission line, receives the processed signal data and uploads it to the cloud server; The voltage signal acquisition channel 510 includes a voltage signal collector 5110 and an electrical signal monitoring device 5120; wherein the voltage signal collector collects the voltage signal on the display screen through the AC input terminal, and converts the voltage signal into electrical signal data through the sampling resistor, and the electrical signal monitoring device processes the electrical signal data; The current signal acquisition channel 520 includes a current signal collector 5210 and an electric signal monitoring device 5120; wherein the current signal collector collects the current signal on the display screen through the DC input terminal, and converts the current signal into electric signal data through the Hall sensor, and the electric signal monitoring device processes the electric signal data; The temperature signal acquisition channel 530 includes a thermistor temperature sensor 5310 and a temperature signal monitoring device 5320; wherein the thermistor temperature sensor measures the ambient temperature of the display screen and converts the ambient temperature into temperature signal data through the thermistor, and the temperature signal monitoring device processes the temperature signal data.

[0107] The voltage signal acquisition channel 510 includes a voltage signal collector 5110 and an electrical signal monitoring device 5120; wherein, the voltage signal collector 5110 collects the voltage signal on the display screen through the AC input terminal, and converts the voltage signal into electrical signal data through a sampling resistor, and the electrical signal monitoring device 5120 processes the electrical signal data.

[0108] For example, the voltage signal collector 5110 adopts a precision voltage divider network design: input range: 0-300V AC / DC adaptive; conversion accuracy: ±0.5% FS; isolation withstand voltage: 3000Vrms / min.

[0109] For example, the electrical signal monitoring device 5120 integrates dual protection mechanisms: hardware protection: TVS transient suppression diode array to prevent surge shock; software protection: sliding window overvoltage detection algorithm.

[0110] The current signal acquisition channel 520 includes a current signal collector 5210 and an electrical signal monitoring device 5120; wherein, the current signal collector 5210 collects the current signal on the display screen through the DC input terminal, and converts the current signal into electrical signal data through the Hall sensor, and the electrical signal monitoring device 5120 processes the electrical signal data.

[0111] For example, the current signal collector 5210 adopts the closed-loop Hall principle: range configuration: 0-50A DC (expandable to 200A); zero drift: <±0.1% / ℃; frequency response characteristics: DC-100kHz (±3dB). The signal conditioning circuit has adaptive gain control: dynamic range: 60dB; common mode rejection ratio: >120dB@50Hz.

[0112] The temperature signal acquisition channel 530 includes a thermistor temperature sensor 5310 and a temperature signal monitoring device 5320; wherein the thermistor temperature sensor 5310 measures the ambient temperature of the display screen and converts the ambient temperature into temperature signal data through a thermistor, and the temperature signal monitoring device 5320 processes the temperature signal data.

[0113] For example, the thermistor temperature sensor 5310 adopts a four-wire measurement method: temperature measurement range: -40℃~+150℃; linearity error: <±0.3℃; thermal response time: τ<8s; the temperature signal monitoring device 5320 realizes multi-dimensional compensation: self-heating compensation: real-time power calculation based on excitation current; wire resistance compensation: eliminate lead errors through Kelvin connection method; environmental drift compensation: deploy reference sensors for differential measurement reference.

[0114] The power acquisition card 500 adopts a modular layered structure: electrical isolation layer: including optocoupler isolation array and magnetic coupling digital isolator to achieve isolation voltage and isolation barrier capacitance between channels; signal conditioning layer: configured with programmable gain amplifier; data processing layer: equipped with dual-core heterogeneous processor to realize parallel signal processing algorithm.

[0115] In the embodiments of this specification, the power acquisition card achieves efficient and accurate signal data processing through a modular hierarchical structure and differentiated circuit layouts of different paths, ensuring high-precision monitoring of voltage, current and temperature signals, so that the system equipped with the power acquisition card can adapt to a wider range of application scenarios.

[0116] The above is a schematic scheme of a power acquisition card of this embodiment. It should be noted that the technical scheme of the power acquisition card and the technical scheme of the above-mentioned power distribution monitoring system belong to the same concept, and the details not described in detail in the technical scheme of the power acquisition card can be referred to the description of the technical scheme of the above-mentioned power distribution monitoring system.

[0117] Figure 6 A flow chart of a data processing method provided in an embodiment of the present specification is shown, the method is applied to the above-mentioned power distribution monitoring system, and the method includes: Step 602: Acquire signal data collected by at least two signal collectors on the display screen.

[0118] Step 604: Process the electrical signal data by an electrical signal monitoring device, and / or process the temperature signal data by a temperature signal monitoring device.

[0119] Step 606: Upload the processed signal data to the cloud server via the smart gateway.

[0120] Step 608: Execute at least one function of data visualization, data alarm and data storage based on the uploaded signal data on the cloud server.

[0121] In the embodiments of this specification, the power distribution monitoring system is used to realize real-time collection and analysis of various signals on the display screen, and the processed data is uploaded to the cloud for further processing and storage using an intelligent gateway, which significantly enhances the intuitiveness of data visualization, the timeliness of data alarms, and the security of data storage, greatly improves equipment maintenance efficiency and fault diagnosis capabilities, reduces operation and maintenance costs, and ensures the long-term stable operation of the system.

[0122] The above is a schematic scheme of a data processing method of this embodiment. It should be noted that the technical scheme of the data processing method and the technical scheme of the above-mentioned power distribution monitoring system belong to the same concept, and the details not described in detail in the technical scheme of the data processing method can be referred to the description of the technical scheme of the above-mentioned power distribution monitoring system.

[0123] Figure 7 7 shows a block diagram of a computing device 700 provided in an embodiment of the present specification. The components of the computing device 700 include but are not limited to a memory 710 and a processor 720. The processor 720 is connected to the memory 710 via a bus 730, and the database 750 is used to store data.

[0124] The computing device 700 also includes an access device 740, which enables the computing device 700 to communicate via one or more networks 760. Examples of these networks include a Public Switched Telephone Network (PSTN), a Local Area Network (LAN), a Wide Area Network (WAN), a Personal Area Network (PAN), or a combination of communication networks such as the Internet. The access device may include one or more of any type of network interface (e.g., a Network Interface Controller (NIC)) of wired or wireless, such as an IEEE 802.11 Wireless Local Area Network (WLAN) wireless interface, a Worldwide Interoperability for Microwave Access (Wi-MAX) interface, an Ethernet interface, a Universal Serial Bus (USB) interface, a cellular network interface, a Bluetooth interface, and a Near Field Communication (NFC).

[0125] In one embodiment of the present specification, the above components of the computing device 700 and Figure 7 Other components not shown in the figure may also be connected to each other, for example, via a bus. It should be understood that Figure 7 The computing device structure block diagram shown is only for the purpose of illustration, and is not intended to limit the scope of this specification. Those skilled in the art can add or replace other components as needed.

[0126] The computing device 700 may be any type of stationary or mobile computing device, including a mobile computer or mobile computing device (e.g., a tablet computer, a personal digital assistant, a laptop computer, a notebook computer, a netbook, etc.), a mobile phone (e.g., a smart phone), a wearable computing device (e.g., a smart watch, smart glasses, etc.), or other types of mobile devices, or a stationary computing device such as a desktop computer or a personal computer (PC). The computing device 700 may also be a mobile or stationary server.

[0127] The processor 720 implements the steps of the above-mentioned data processing method when executing the computer program / instructions.

[0128] The above is a schematic scheme of a computing device of this embodiment. It should be noted that the technical scheme of the computing device and the technical scheme of the above data processing method belong to the same concept, and the details not described in detail in the technical scheme of the computing device can be referred to the description of the technical scheme of the above data processing method.

[0129] An embodiment of the present specification further provides a computer-readable storage medium storing a computer program / instruction, which implements the steps of the above-mentioned data processing method when executed by a processor.

[0130] The above is a schematic scheme of a computer-readable storage medium of this embodiment. It should be noted that the technical scheme of the storage medium and the technical scheme of the above data processing method belong to the same concept, and the details not described in detail in the technical scheme of the storage medium can be referred to the description of the technical scheme of the above data processing method.

[0131] An embodiment of the present specification also provides a computer program product, including a computer program / instruction, which implements the steps of the above data processing method when executed by a processor.

[0132] The above is a schematic scheme of a computer program product of this embodiment. It should be noted that the technical scheme of the computer program product and the technical scheme of the above data processing method belong to the same concept, and the details not described in detail in the technical scheme of the computer program product can be referred to the description of the technical scheme of the above data processing method.

[0133] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0134] The computer program / instruction includes computer program code, which may be in source code form, object code form, executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0135] It should be noted that, for the convenience of description, the aforementioned method embodiments are all described as a series of action combinations, but those skilled in the art should be aware that this specification is not limited by the order of the actions described, because according to this specification, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by this specification.

[0136] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0137] The preferred embodiments of this specification disclosed above are only used to help explain this specification. The optional embodiments do not describe all the details in detail, nor do they limit the invention to only the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of this specification, so that technicians in the relevant technical field can well understand and use this specification. This specification is limited only by the claims and their full scope and equivalents.

Claims

1. A power distribution monitoring system, characterized in that: include: A power acquisition card, an intelligent gateway, and at least two signal collectors, wherein the power acquisition card is equipped with an electrical signal monitoring device and a temperature signal monitoring device; The power acquisition card is used to acquire signal data collected by at least two signal collectors on the display screen, wherein the signal data includes electrical signal data and temperature signal data; The electrical signal monitoring device is used to process the electrical signal data; The temperature signal monitoring device is used to process the temperature signal data; The power acquisition card is also used to upload the processed signal data to the cloud server through the intelligent gateway, so that the cloud server performs at least one function of data visualization, data alarm and data storage based on the signal data.

2. The power distribution monitoring system according to claim 1, characterized in that: The electrical signal monitoring device and the temperature signal monitoring device each include at least one of the following: a data preprocessing module, a data classification module, a data analysis module, and a machine learning model training module; Wherein, the data preprocessing module is used to perform denoising and standardization processing on the signal data; The data classification module is used to classify the signal data by type; The data analysis module is used to perform statistical analysis on the signal data; The machine learning model training module is used to train a prediction model to identify the signal data with anomalies.

3. The power distribution monitoring system according to claim 1, characterized in that: The intelligent gateway includes a multi-mode communication module and a protocol configuration interface; Wherein, the multi-mode communication module is used to support multi-channel transmission of the communication protocol; The protocol configuration interface is used to receive and configure the communication protocol parameters of the multi-mode communication module through a local serial port debugging tool and / or a remote data interface.

4. The power distribution monitoring system according to claim 1, characterized in that: The power distribution monitoring system also includes an expansion interface module; Wherein, the extended interface module includes: Interface connection unit, used to achieve physical connection with other devices; Data exchange processing unit, used to manage data transmission and interaction protocols with other devices; The function development support unit is used to provide a development toolkit and an application programming interface to perform function expansion and customized development on the power distribution monitoring system.

5. A cloud server, characterized in that: The cloud server is used to receive, process and store processed signal data uploaded by the power distribution monitoring system described in claim 1 through the intelligent gateway, and perform at least one function of data visualization, data alarm and data storage based on the signal data.

6. The cloud server according to claim 5, characterized in that: The cloud server includes a remote control module; Wherein, the remote control module is also used to control the switch state of the power distribution monitoring system.

7. The cloud server according to claim 5, characterized in that: The cloud server is used to retrieve reference data from a database through a database index, and trigger an alarm when an error between the signal data and the reference data exceeds a threshold.

8. The cloud server according to claim 7, characterized in that: The reference data in the database is updated according to a preset frequency.

9. A display screen power distribution monitoring system, characterized in that: It includes a display screen, the power distribution monitoring system described in claim 1, and a cloud server.

10. A power acquisition card, characterized in that: It includes a voltage signal acquisition channel, a current signal acquisition channel and a temperature signal acquisition channel. The intelligent gateway is connected to the power acquisition card through a communication transmission line, receives the processed signal data and uploads it to the cloud server; The voltage signal acquisition channel includes a voltage signal collector and an electrical signal monitoring device; wherein the voltage signal collector collects the voltage signal on the display screen through the AC input terminal, and converts the voltage signal into electrical signal data through a sampling resistor, and the electrical signal monitoring device processes the electrical signal data; The current signal acquisition channel includes a current signal collector and the electrical signal monitoring device; wherein the current signal collector collects the current signal on the display screen through a DC input terminal, and converts the current signal into electrical signal data through a Hall sensor, and the electrical signal monitoring device processes the electrical signal data; The temperature signal acquisition channel includes a thermistor temperature sensor and a temperature signal monitoring device; wherein the thermistor temperature sensor measures the ambient temperature of the display screen and converts the ambient temperature into temperature signal data through a thermistor, and the temperature signal monitoring device processes the temperature signal data.

11. A data processing method, characterized in that: Applied to the power distribution monitoring system described in claim 1, the method comprises: Acquire signal data collected by at least two signal collectors on the display screen; Processing the electrical signal data by an electrical signal monitoring device, and / or processing the temperature signal data by a temperature signal monitoring device; Upload the processed signal data to the cloud server through the intelligent gateway; At least one function of data visualization, data alarm and data storage is performed on the cloud server based on the uploaded signal data.

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