Power distribution cabinet safety monitoring system based on Internet of Things

Abstract

The invention provides a power distribution cabinet safety monitoring system based on the Internet of Things, which comprises a power supply module, a power distribution cabinet parameter acquisition module, a wireless data transmission module, a processor module, a platform layer module and an alarm module, the power distribution cabinet parameters are used for collecting various electrical parameters in the power distribution cabinet; the wireless data transmission module is used for wirelessly transmitting data acquired by the power cabinet; the processor module is used for processing and analyzing the collected data and outputting a processing result; the platform layer module is used for data display, early warning management and interaction with a user; and the alarm module is used for sending out an alarm signal and notifying related personnel when the power distribution cabinet has a fault or abnormity. According to the application, the safe operation condition of the power distribution cabinet can be predicted according to the real-time data, so that the safety in the whole use process is influenced.

Description

Technical Field

[0001] The present application relates to the technical field of power distribution cabinet safety monitoring, and in particular to a power distribution cabinet safety monitoring system based on the Internet of Things. Background Art

[0002] Distribution cabinets are an essential component of modern industrial and residential buildings, primarily used to distribute electrical energy, control the operation of electrical equipment, and protect circuit safety. However, traditional distribution cabinet monitoring systems typically only provide basic real-time data collection and alarm functions, failing to comprehensively analyze and predict the safe operation of distribution cabinets. With the acceleration of industrialization and the increasing complexity of electrical equipment, the risk of distribution cabinet failure is increasing, and traditional monitoring systems are no longer able to meet the needs of efficient and accurate safety management.

[0003] Currently, most common PDC monitoring systems can only monitor basic parameters such as voltage, current, and temperature, and can only trigger alarms when equipment anomalies occur. However, they are unable to predict potential failures or hidden dangers in real time based on the collected operational data. This results in the PDC being unable to receive early warnings of potential failures before they occur, leading to equipment damage, downtime, and even potential safety incidents such as electrical fires, compromising production continuity and personnel safety.

[0004] Furthermore, with the development of the Internet of Things, sensor technology, and big data analytics, traditional monitoring systems face numerous limitations in data transmission, fault prediction, and alarm response. For example, traditional systems' data collection and transmission methods are relatively simple, resulting in poor real-time and accuracy, making it difficult to meet the needs of in-depth equipment analysis and prediction. Summary of the Invention

[0005] The present application aims to solve one of the technical problems in the related art at least to a certain extent.

[0006] To this end, the purpose of this application is to propose a distribution cabinet safety monitoring system based on the Internet of Things.

[0007] To achieve the above objectives, the present application proposes an IoT-based power distribution cabinet safety monitoring system, which includes a power supply module, a power distribution cabinet parameter acquisition module, a wireless data transmission module, a processor module, a platform layer module, and an alarm module, wherein:

[0008] The power supply module is used to provide power to the system;

[0009] The input end of the distribution cabinet parameter acquisition module is connected to the output end of the power supply module, and the output end is connected to the input end of the wireless data transmission module, for collecting various electrical parameters in the distribution cabinet;

[0010] The input end of the wireless data transmission module is connected to the output end of the distribution cabinet parameter acquisition module, and the output end is connected to the input end of the processor module, for wirelessly transmitting the data collected by the distribution cabinet;

[0011] The input end of the processor module is connected to the output end of the wireless data transmission module, and the output end is connected to the input end of the platform layer module, for processing and analyzing the collected data and outputting the processing results;

[0012] The input end of the platform layer module is connected to the output end of the processor module, and the output end is connected to the input end of the alarm module for data display, early warning management and interaction with users;

[0013] The input end of the alarm module is connected to the output end of the platform layer module, and is used to send out an alarm signal and notify relevant personnel when a failure or abnormality occurs in the distribution cabinet.

[0014] Optionally, the power distribution cabinet parameter acquisition module includes:

[0015] Temperature and humidity collection module, used to collect temperature and humidity data in the power distribution cabinet;

[0016] Smoke sensor module, used to detect the presence of smoke or combustible gas in the power distribution cabinet;

[0017] Current acquisition module, used to collect operating data of current in the distribution cabinet;

[0018] The voltage acquisition module is used to collect the operating data of the voltage in the distribution cabinet.

[0019] Optionally, the temperature and humidity acquisition module uses a DHT22 sensor, the smoke sensor module uses an MQ-2 sensor, the current acquisition module uses an LM358 operational amplifier, and the voltage acquisition module uses a serial port ADC0832 conversion chip.

[0020] Optionally, the wireless data transmission module adopts a Zigbee wireless communication module, performs data transmission based on a dual-star topology, and realizes efficient and low-power data communication through a network composed of a coordinator and terminal devices, ensuring that the data of the distribution cabinet can be transmitted to the processor module in real time;

[0021] The processor module uses the SX6240A chip, which integrates the power Internet of Things terminal network resources and provides multiple interfaces to support system resource management, data processing and remote communication.

[0022] Optionally, the platform layer module includes:

[0023] Historical data analysis and prediction module, used to predict and warn of distribution cabinet failures based on historical data and machine learning algorithms;

[0024] The operation interface module is used to realize the interaction between users and the system, supporting real-time data display, operation configuration, and system management, allowing users to view the current status of the distribution cabinet and control system parameters;

[0025] The data real-time monitoring module is used to display and monitor the voltage, current, active power, reactive power, temperature and humidity in the distribution cabinet in real time, and automatically trigger the alarm mechanism when the parameters exceed the limit.

[0026] Optionally, the historical data analysis and prediction module is specifically used to:

[0027] The random forest algorithm is used to process historical data. By analyzing the historical fault records, operating status, external environment and other data of the distribution cabinet, the type and time of possible failure of the distribution cabinet are predicted, and an early warning signal is issued before the failure occurs, thereby reducing equipment downtime.

[0028] Optionally, the operation interface module includes:

[0029] User configuration module, used to configure system parameters and equipment information, including basic information of the power distribution cabinet and alarm threshold settings;

[0030] The system management module is used to operate and manage the system, including user login verification, data entry, and device information maintenance.

[0031] Optionally, the alarm module includes:

[0032] The call alarm module is used to issue a call alarm upon receiving a temperature, smoke current or voltage alarm signal from the front-end module, notifying the operator or maintenance team of the fault information through the telephone system, and providing the specific fault type and location when the alarm is issued;

[0033] The two-way call alarm module uses the DTMF dual-tone multi-frequency signal integrated circuit MT8880, which is set to dual-tone mode and interrupt mode. It uses the IRQ pin to determine whether the DTMF dual-tone signal is received.

[0034] The technical solutions provided by the embodiments of this application bring at least the following beneficial effects:

[0035] (1) This system can collect various operating data in the distribution cabinet in real time, including key parameters such as temperature and humidity, smoke concentration, current, and voltage, ensuring comprehensive monitoring of the equipment's operating status. Through real-time monitoring, abnormal changes in equipment can be discovered in a timely manner, reducing downtime and production interruptions caused by equipment failures and improving system stability.

[0036] (2) Through the historical data analysis and prediction module, the system can analyze historical data based on machine learning algorithms (such as the random forest algorithm) to accurately predict the possible failure risks of the distribution cabinet. The system can issue early warnings to help users take necessary maintenance and treatment measures before a failure occurs, effectively avoiding equipment failures and reducing losses caused by equipment damage and downtime.

[0037] (3) The system's built-in alarm module can automatically trigger an alarm mechanism based on real-time monitoring data. Once it detects that the current, voltage, temperature, humidity and other parameters of the distribution cabinet are outside the preset range, the system will promptly send an alarm signal to relevant personnel to ensure that the fault is responded to in a timely manner. In addition, the alarm module's two-way communication function enables remote diagnosis, helping technicians remotely analyze and handle distribution cabinet faults, reducing on-site response time.

[0038] (4) The operation interface module provides users with an intuitive and convenient operation platform. Users can use the system interface to configure system parameters, manage equipment information, and view the real-time operating data and historical records of the distribution cabinet. Through the long-term accumulation and analysis of data, the system can provide users with targeted maintenance recommendations, help optimize equipment management and maintenance processes, and extend the service life of the distribution cabinet.

[0039] (5) The system enhances the safety of the distribution cabinet through multi-level monitoring and prediction. By predicting and warning of possible failures, the system can effectively avoid safety risks brought by equipment failures, such as electrical fires and equipment overloads, effectively ensuring the safety of operators and providing guarantees for the long-term stable operation of the equipment.

[0040] (6) The wireless data transmission module uses Zigbee wireless communication technology to support efficient and low-power data transmission, enabling the system to achieve remote monitoring and data management. Through the platform layer module, the system stores historical data in the database to ensure long-term data preservation and supports subsequent analysis and query, making it easier for users to manage the entire life cycle of the equipment.

[0041] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0043] Figure 1 A schematic diagram of the structure of a power distribution cabinet safety monitoring system based on the Internet of Things provided in an embodiment of the present application;

[0044] Figure 2 This is a schematic diagram of the structure of the power distribution cabinet parameter acquisition module provided in an embodiment of the present application;

[0045] Figure 3 This is a schematic diagram of the structure of the platform layer module provided in an embodiment of the present application. DETAILED DESCRIPTION

[0046] The following describes in detail embodiments of the present application. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0047] In order to solve the technical problems existing in the existing solutions, the present invention provides a power distribution cabinet safety monitoring system based on the Internet of Things. Figure 1 This is a schematic diagram of the structure of a power distribution cabinet safety monitoring system based on the Internet of Things provided in an embodiment of the present application. Figure 1 As shown, the system includes a power supply module 1, a distribution cabinet parameter acquisition module 2, a wireless data transmission module 3, a processor module 4, a platform layer module 5 and an alarm module 6.

[0048] In this embodiment of the present application, the power supply module 1 is used to provide stable power support for the entire system, ensuring that the system is not affected by power fluctuations during operation. It includes an AC / DC power conversion module, which converts AC power to DC power. The power management module regulates the voltage to ensure that the power requirements of each module in the system are met. In addition, the power supply module includes a backup battery module to ensure that the system can continue to operate stably in the event of a main power outage, avoiding data loss or monitoring interruption caused by power outages.

[0049] The input end of the distribution cabinet parameter acquisition module 2 is connected to the output end of the power supply module 1, which means that the distribution cabinet parameter acquisition module needs to obtain electricity from the power supply module to operate. The output end of the distribution cabinet parameter acquisition module is connected to the input end of the wireless data transmission module 3, which is used to transmit various electrical parameters (such as voltage, current, temperature and humidity, etc.) collected inside the distribution cabinet to the wireless data transmission module. This data transmission process relies on wireless communication technology (such as Zigbee) to ensure that the data can be transmitted to the subsequent processing module stably and in real time. The distribution cabinet parameter acquisition module monitors the various safety parameters in the distribution cabinet in real time through multiple sensors, providing important environmental data support for the system.

[0050] The input of wireless data transmission module 3 is connected to the output of distribution cabinet parameter acquisition module 2, meaning data is transmitted from the distribution cabinet parameter acquisition module to the wireless data transmission module. The wireless data transmission module then transmits this collected data to processor module 4 via wireless signals. The output of the wireless data transmission module is connected to the input of processor module 4, ensuring smooth data transmission from the wireless data transmission module to the processor module. Based on low-power, efficient data transmission protocols (such as Zigbee), the wireless data transmission module provides a reliable remote data transmission channel, reducing the wiring complexity of traditional wired communications.

[0051] The processor module 4 is the data processing center of the entire system, responsible for receiving and processing data from the wireless data transmission module. The input end of the processor module is connected to the output end of the wireless data transmission module 3, and analyzes and processes the received raw data. The processor module 4 will determine whether each parameter exceeds the set threshold based on the set early warning algorithm, and then predict whether there is a potential equipment failure. The processor module provides real-time monitoring and decision support through efficient data calculation and analysis. The output end of the processor module is connected to the input end of the platform layer module 5, and transmits the processed data results to the platform layer module. The platform layer module is responsible for displaying the processed data, user interaction and alarm management. The platform layer module not only provides a data visualization interface, but also supports a comprehensive assessment of the equipment operating status, helping users to fully understand the working status of the distribution cabinet.

[0052] The output of platform layer module 5 is connected to the input of alarm module 6, indicating that when the platform layer module identifies a fault or anomaly through data analysis, it sends a trigger signal to the alarm module, activating the alarm function. Alarm module 6 promptly issues an alarm and notifies relevant personnel based on the received alarm signal. The alarm module includes a call alarm module and a two-way call alarm module. The former transmits fault information to operators or maintenance teams via the telephone system, while the latter uses the MT8880 DTMF dual-tone multi-frequency signal integrated circuit to enable two-way voice communication, enabling remote diagnosis and technical support. The design of the alarm module ensures that the system can respond quickly to faults, avoiding more serious damage caused by delayed processing.

[0053] Overall, the modules are tightly connected. The power supply module provides power to the entire system. The distribution cabinet parameter acquisition module uses sensors to collect key electrical parameters and transmits this data to the wireless data transmission module. The wireless data transmission module uses wireless technology to transmit this data to the processor module for analysis and processing. The results are then transmitted to the platform module for display and alarm management. After analysis and assessment, the platform module transmits alarm information to the alarm module, ensuring timely action in the event of equipment failure or anomalies. This modular design makes the distribution cabinet safety monitoring system more efficient, flexible, and reliable.

[0054] In the embodiments of this application, Figure 2 As shown, the distribution cabinet parameter acquisition module 2 includes multiple submodules, each of which is used to acquire various electrical parameters in the distribution cabinet. These modules specifically include a temperature and humidity acquisition module 7, a smoke sensor module 8, a current acquisition module 9, and a voltage acquisition module 10.

[0055] In one embodiment of the present application, the temperature and humidity acquisition module 7 adopts a DHT22 temperature and humidity sensor, which has a digital signal output and can provide accurate temperature and humidity data. The DHT22 temperature and humidity sensor adopts a single-wire serial interface, which is convenient for connection with the data acquisition module and the wireless transmission module. The advantages of this sensor include small size, low power consumption, strong anti-interference ability, fast response speed and low price. Through dedicated digital module acquisition technology and temperature and humidity sensing technology, DHT22 can achieve high reliability and long-term stability, ensuring long-term stable operation in various environments. Therefore, the temperature and humidity acquisition module 7 can accurately collect temperature and humidity data in the distribution cabinet, providing important data support for the safe operation of the distribution cabinet.

[0056] In one embodiment of the present application, the smoke sensor module 8 uses an MQ-2 combustible gas sensor, which can detect the presence of smoke or combustible gas in the distribution cabinet. The MQ-2 sensor consists of a micro-ceramic tube made of aluminum oxide, a tin dioxide sensing layer, a measuring electrode, and a heater. Its operating principle is based on the fact that tin dioxide, as a gas-sensitive element, has extremely low conductivity in a clean atmosphere. When the air contains combustible gas or smoke, the conductivity increases, thereby changing the resistance value. By monitoring the sensor output signal, potential fire or toxic gas leakage risks can be detected in a timely manner, ensuring the safety of the distribution cabinet.

[0057] In one embodiment of the present application, the current acquisition module 9 utilizes an LM358 op amp to form a proportional operational amplifier circuit. This circuit amplifies the current signal by a factor of 10 based on the current proportionality formula, facilitating subsequent processing. The current signal is converted into a digital signal through sampling and connected to the power supply module 1. The current value is calculated using the formula U = IR × 10. Through this module, the system can monitor current changes within the distribution cabinet in real time and promptly detect any current anomalies such as overload in the distribution cabinet, thereby ensuring the normal operation of the equipment and protecting the circuit safety.

[0058] In one embodiment of the present application, the voltage acquisition module 10 uses a serial port ADC0832 conversion chip, which is responsible for converting analog voltage signals into digital signals. The ADC0832 chip requires an external power supply and a stable +5V voltage and is connected to the processor module 4 via multiple ports, including the CS08 chip select terminal connected to the processor module's P1.1 port, the CLK08 clock terminal connected to the P1.2 port, the DI08 write terminal connected to the P1.3 port, and the DO08 read terminal connected to the P1.4 port. After power is applied, the chip samples the analog signal and performs signal comparison. After converting the sampled voltage signal into a digital quantity, it is transmitted to the processor module 4 for further analysis and processing.

[0059] Through the collaborative operation of these modules, the distribution cabinet parameter acquisition module 2 can comprehensively and accurately monitor the environmental and electrical parameters within the distribution cabinet. The temperature and humidity acquisition module 7, smoke sensor module 8, current acquisition module 9, and voltage acquisition module 10, each utilizing dedicated sensors and processing technologies, achieve multi-dimensional monitoring of the safe operation of the distribution cabinet, ensuring the system can acquire key operating data of the distribution cabinet in real time and providing an important basis for subsequent data processing and fault prediction.

[0060] In one embodiment of the present application, the wireless data transmission module 3 selects the Zigbee module, which is based on the Zigbee protocol and is suitable for application scenarios with low power consumption, low data rate and short-range communication. The Zigbee module supports a dual-star wireless network topology structure, which consists of a main coordinator and multiple terminal devices. The system performs remote data transmission through a multi-point Internet module topology network consisting of 1 coordinator and 10 terminal devices. In this structure, the main control center transformer serves as the main coordinator of the wireless signal transmission network, responsible for scheduling and managing data transmission between terminal devices. Through this network topology, the system can efficiently transmit distribution cabinet monitoring data, while reducing energy consumption through the low power consumption characteristics of Zigbee, ensuring long-term stable operation of the system.

[0061] In one embodiment of the present application, processor module 4 utilizes the SX6240A chip, a high-performance chip designed specifically for power IoT terminals. This chip integrates a wealth of network resources and multiple interfaces. Its core is RAN8, with a 500MHz main frequency that can be increased to 550MHz during system operation. This provides powerful computing power and supports efficient data processing. The chip also includes 32MB of memory and 2MB of fault-sustaining memory, ensuring that the system can preserve critical data in the event of a failure and continue operation after recovery.

[0062] Furthermore, the SX6240A chip's microprocessor supports MobileSDR memory, providing stable storage and data transmission performance. The chip's peripheral circuits utilize a highly efficient DC / DC power supply circuit design, enabling the core voltage to be shut down when the monitoring system enters sleep or wake-up mode, saving energy and further improving system energy efficiency. The chip supports USB 2.0, features high-speed USB master and slave interfaces, and is capable of On-The-Go (OTG) shutdown, enhancing data communication flexibility.

[0063] The SX6240A chip also provides a 200M IT network interface, supporting high-speed data transmission and suitable for real-time monitoring and data processing. Its storage interface supports SD cards up to 64GB, providing the system with massive storage space for storing historical data and real-time monitoring images from power distribution cabinets. The audio interface uses the ADU1314 audio codec, enabling stereo output and recording for later playback and analysis.

[0064] The processor module 4 also supports an LCD interface, a four-wire resistive touchscreen interface with high recognition capabilities. Users can interact with the system via the touchscreen and view real-time status and data of the distribution cabinet. The processor module is also equipped with a 2.6-megapixel camera that clearly displays the distribution cabinet monitoring screen, supports image pause, real-time viewing, and playback, facilitating operator inspection and maintenance. The camera also supports AV signal input, further enhancing monitoring capabilities and ensuring comprehensive monitoring and management of the distribution cabinet under all circumstances.

[0065] Through the efficient cooperation of the wireless data transmission module 3 and the processor module 4, this system can collect and process various data of the distribution cabinet in real time, support remote monitoring, data storage, image playback and other functions, provide a full range of intelligent monitoring solutions, and significantly improve the operation safety and management efficiency of the distribution cabinet.

[0066] In the embodiments of this application, Figure 3As shown, the platform layer module 5 includes the following three main modules: a historical data analysis and prediction module 11, an operation interface module 12 and a data real-time monitoring module 13.

[0067] In one embodiment of the present application, the historical data analysis and prediction module 11 uses a machine learning algorithm, in particular a random forest algorithm, to perform fault prediction and early warning on the historical data of the distribution cabinet. The module first reads data from a CSV file (such as data.csv) containing the historical operating data of the distribution cabinet. The data includes multiple features, such as voltage, current, temperature, etc., as well as the target variable - the fault label. The data preprocessing step ensures that the data format is correct and loads the data by using the pandas library. In the preprocessing stage, the fillna (method = 'ffill') method is used to process missing values ​​in the data to ensure the integrity of the data and avoid the negative impact of missing values ​​on model training. At the same time, the data is standardized using StandardScaler to ensure that each feature is within the same dimensional range, thereby avoiding the impact of scale differences of different feature values ​​on model training.

[0068] The dataset is partitioned to evaluate the generalization ability of the model. This module uses train_test_split() to divide the data into a training set with a ratio of 80% and a test set with a ratio of 20%. This ensures the adaptability of the trained model to new data. The training process uses RandomForestClassifier(n_estimators=100) to enhance the stability and prediction accuracy of the model by training multiple decision trees. During model evaluation, the classification report (including precision, recall rate, and F1-score) is calculated to measure the model's recognition ability for different categories and calculate the overall accuracy.

[0069] After training is complete, the module uses joblib.dump() to save the trained model so that it can be quickly loaded in the future. To ensure that the model can correctly process new data in subsequent use, the normalization parameters (scaler.pkl) are also saved. In addition, the historical data analysis and prediction module 11 can also use feature importance analysis to show which features have the greatest impact on the model's prediction results. This helps users understand the model's decision-making process and make adjustments and optimizations in subsequent use.

[0070] This module not only effectively predicts potential faults in distribution cabinets, such as overloads and short circuits, but also helps analyze energy usage patterns and optimize energy distribution within distribution cabinets, reducing energy waste and improving energy efficiency. Through continuous learning and optimization, the random forest algorithm can continuously adapt to new operating conditions, improving the system's adaptability and ensuring accurate and timely fault prediction.

[0071] In one embodiment of the present application, the operation interface module 12 is responsible for realizing the interaction between the user and the system. The module communicates with the lower device end through the host end and transmits the operating data of the distribution network in real time. The received data is stored in the SQL Server database after analysis and processing, and data operations are performed through ADO.NET objects to support data requests from the business logic layer and provide calls for the user interface layer. The functions of the operation interface module 12 include user configuration and system management. The user configuration module verifies the user type through system login. Ordinary users can only view changes in real-time parameter data and receive early warning information; while management users have more advanced permissions and can perform operations such as device information management, data entry, and basic system configuration. The management module allows management users to maintain and configure basic equipment in the distribution network (such as substations, distribution lines, transformers, distribution cabinets, etc.) to ensure that the system can adapt to changing needs.

[0072] In one embodiment of the present application, the real-time data monitoring module 13 receives parameter data transmitted from the lower-level device and, after analysis and processing, displays the distribution network's operating status data in real time, including three-phase voltage, three-phase current, active power, reactive power, and distribution cabinet temperature and humidity. If the monitored data exceeds a set safety range, the module automatically triggers an alarm mechanism and pops up a warning window to report the alarm type and alarm information, promptly transmitting abnormal information to the operator to ensure the safe operation of the distribution cabinet and the entire distribution network.

[0073] Through the collaborative work of these modules, the platform layer module not only enables real-time monitoring, fault prediction, and early warning of distribution cabinets, but also provides a convenient user interface, ensuring that users can easily view and manage the operating status of the distribution network. The historical data analysis and prediction module, the operation interface module, and the real-time data monitoring module jointly enhance the system's intelligence and automation level, improving the efficiency and reliability of distribution cabinet safety monitoring.

[0074] In this embodiment of the present application, the alarm module 6 includes two alarm modes: a call alarm module and a two-way call alarm module. These two alarm modes use the telephone system to alert operators or maintenance teams of faults, ensuring that countermeasures can be taken quickly when a fault or abnormality occurs in the distribution cabinet.

[0075] Specifically, the call alarm module automatically activates the telephone system upon receiving temperature, smoke, current, or voltage alarm signals from the front-end module, alerting operators or maintenance teams. Specifically, when the distribution cabinet's monitoring system detects that key parameters such as temperature, smoke, current, or voltage exceed pre-set safety limits, the alarm module immediately calls a designated telephone number through the telephone system to notify personnel of the fault type and location. The telephone system provides detailed fault information, ensuring maintenance personnel can quickly understand the nature and location of the fault and take appropriate emergency measures.

[0076] The two-way alarm module further enhances the interactivity and responsiveness of the alarm. This module utilizes the MT8880 DTMF dual-tone multi-frequency (DTMF) signaling integrated circuit, specifically designed for transmitting and receiving DTMF signals. DTMF signals (Dual Tone Multi-Frequency) are widely used in telephone communications, particularly in phone dialing and voice communications. The MT8880 chip supports both sending and receiving dual-tone signals and can decode them to identify different types of signals, such as dial tone, ringback tone, and busy tone. In this system, the MT8880 chip is configured in both dual-tone and interrupt modes. Its IRQ pin allows the chip to determine whether a DTMF dual-tone signal is received. When the system detects a valid temperature or smoke alarm, the alarm module activates the two-way alarm module's dialing function. The system first uses microcontroller U4 to control port P2 to output the telephone number and control signals. These signals are then converted to DTMF dual-tone multi-frequency signals by U3. After amplification, the signal is coupled to the telephone line, dialing the call through the telephone system. Once the call is established, the alarm module provides real-time information via voice or two-way communication, ensuring that maintenance personnel receive the alarm signal promptly. Operators can communicate with on-site personnel via phone to understand the fault situation and take appropriate action. This two-way communication alarm module provides a more real-time, interactive, and accurate fault response method, ensuring that faults are resolved promptly and preventing equipment damage or safety incidents.

[0077] This alarm module design not only enables automatic fault alarms but also enables real-time feedback and remote diagnosis through two-way communication, further improving the system's emergency response capabilities and maintenance efficiency. By combining the call alarm module with the two-way communication alarm module, the system can quickly and accurately notify relevant personnel when a fault occurs and provide remote technical support when necessary, ensuring the safe and stable operation of the distribution cabinet and the entire distribution network.

[0078] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in this application can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of this application can be achieved. This is not limited herein.

[0079] The above specific embodiments do not constitute a limitation on the scope of protection of this application. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application shall be included within the scope of protection of this application.

Claims

1. A power distribution cabinet safety monitoring system based on the Internet of Things, characterized in that: It includes power supply module, distribution cabinet parameter acquisition module, wireless data transmission module, processor module, platform layer module and alarm module, among which: The power supply module is used to provide power to the system; The input end of the distribution cabinet parameter acquisition module is connected to the output end of the power supply module, and the output end is connected to the input end of the wireless data transmission module, for collecting various electrical parameters in the distribution cabinet; The input end of the wireless data transmission module is connected to the output end of the distribution cabinet parameter acquisition module, and the output end is connected to the input end of the processor module, for wirelessly transmitting the data collected by the distribution cabinet; The input end of the processor module is connected to the output end of the wireless data transmission module, and the output end is connected to the input end of the platform layer module, for processing and analyzing the collected data and outputting the processing results; The input end of the platform layer module is connected to the output end of the processor module, and the output end is connected to the input end of the alarm module for data display, early warning management and interaction with users; The input end of the alarm module is connected to the output end of the platform layer module, and is used to send out an alarm signal and notify relevant personnel when a failure or abnormality occurs in the distribution cabinet.

2. The power distribution cabinet safety monitoring system according to claim 1, characterized in that: The power distribution cabinet parameter acquisition module includes: Temperature and humidity collection module, used to collect temperature and humidity data in the power distribution cabinet; Smoke sensor module, used to detect the presence of smoke or combustible gas in the power distribution cabinet; Current acquisition module, used to collect operating data of current in the distribution cabinet; The voltage acquisition module is used to collect the operating data of the voltage in the distribution cabinet.

3. The power distribution cabinet safety monitoring system according to claim 2, characterized in that: The temperature and humidity acquisition module uses a DHT22 sensor, the smoke sensor module uses an MQ-2 sensor, the current acquisition module uses an LM358 operational amplifier, and the voltage acquisition module uses a serial port ADC0832 conversion chip.

4. The power distribution cabinet safety monitoring system according to claim 3, characterized in that: The wireless data transmission module adopts Zigbee wireless communication module, performs data transmission based on a dual star topology, and realizes efficient and low-power data communication through a network composed of a coordinator and terminal devices, ensuring that the data of the distribution cabinet can be transmitted to the processor module in real time; The processor module uses the SX6240A chip, which integrates the power Internet of Things terminal network resources and provides multiple interfaces to support system resource management, data processing and remote communication.

5. The power distribution cabinet safety monitoring system according to claim 4, characterized in that: The platform layer module includes: Historical data analysis and prediction module, used to predict and warn of distribution cabinet failures based on historical data and machine learning algorithms; The operation interface module is used to realize the interaction between users and the system, supporting real-time data display, operation configuration, and system management, allowing users to view the current status of the distribution cabinet and control system parameters; The data real-time monitoring module is used to display and monitor the voltage, current, active power, reactive power, temperature and humidity in the distribution cabinet in real time, and automatically trigger the alarm mechanism when the parameters exceed the limit.

6. The power distribution cabinet safety monitoring system according to claim 5, characterized in that: The historical data analysis and prediction module is specifically used to: The random forest algorithm is used to process historical data. By analyzing the historical fault records, operating status, external environment and other data of the distribution cabinet, the type and time of possible failure of the distribution cabinet are predicted, and an early warning signal is issued before the failure occurs, thereby reducing equipment downtime.

7. The power distribution cabinet safety monitoring system according to claim 6, characterized in that: The operation interface module includes: User configuration module, used to configure system parameters and equipment information, including basic information of the power distribution cabinet and alarm threshold settings; The system management module is used to operate and manage the system, including user login verification, data entry, and device information maintenance.

8. The power distribution cabinet safety monitoring system according to claim 7, characterized in that: The alarm module comprises: The call alarm module is used to issue a call alarm upon receiving a temperature, smoke current or voltage alarm signal from the front-end module, notifying the operator or maintenance team of the fault information through the telephone system, and providing the specific fault type and location when the alarm is issued; The two-way call alarm module uses the DTMF dual-tone multi-frequency signal integrated circuit MT8880, which is set to dual-tone mode and interrupt mode. It uses the IRQ pin to determine whether the DTMF dual-tone signal is received.

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