A DECT system and substation

Abstract

The present invention discloses a DECT system and a substation, which specifically relates to the technical field of substation cabinets, and includes a wireless communication module for realizing wireless communication inside and outside the system, a power management module for providing reliable power management and emergency power support, a data processing module for processing, storing and transmitting system data, and a control monitoring module for real-time monitoring and management of system operation. The present invention realizes efficient operation management through the synergy of wireless communication, power management, data processing and system monitoring modules. The wireless communication module ensures stable signal transmission, the power management module ensures the reliability of system power supply, the data processing module processes and stores data and encrypts it, and the control monitoring module monitors the system status in real time. These functions enable the DECT system to detect and identify abnormal sounds of equipment in a timely manner, automatically determine faults and generate maintenance steps, ensure safe operation of equipment, and significantly improve maintenance efficiency and accuracy.

Description

Technical Field

[0001] The present invention relates to the technical field of transformer cabinets, and in particular to a DECT system and a transformer substation. Background Art

[0002] The DECT (Digital Enhanced Cordless Telecommunications) system has been widely used in substations of modern power systems. As an important part of the power system, the reliable operation of the substation is directly related to the safety and stability of the power system. Traditional substation maintenance mainly relies on manual inspections and regular maintenance, which is not only inefficient, but also prone to missed inspections and misjudgments, and unable to detect and handle equipment abnormalities in a timely manner, which may lead to serious equipment failures and power outages.

[0003] The DECT system in the prior art has some shortcomings in the application of substation cabinets. First, the traditional substation cabinet monitoring system lacks real-time data collection and processing capabilities, making it difficult to detect and warn equipment failures in a timely manner. Secondly, the performance of the power management and data processing modules is insufficient, and the continuous and stable operation of the system cannot be guaranteed. In addition, the user interaction and fault handling functions of the existing system are relatively simple, and maintenance personnel need to rely on personal experience during operation, making it difficult to achieve efficient and accurate fault diagnosis and handling. Therefore, we provide a DECT system. Summary of the invention

[0004] The purpose of the present invention is to solve the shortcomings of the prior art and propose a DECT system and a substation. In order to achieve the above purpose, the present invention adopts the following technical solutions:

[0005] In a first aspect, the present application provides a DECT system, including a wireless communication module responsible for realizing wireless communication within and outside the system, a power management module for providing reliable power management and emergency power support, a data processing module for processing, storing and transmitting system data, and a control monitoring module for real-time monitoring and management of system operation;

[0006] The wireless communication module includes a base station module for wirelessly communicating with a handheld device or other terminal device, an antenna module for transmitting and receiving wireless signals, a frequency management module for managing and allocating wireless frequencies, and a channel coding module for encoding and decoding data;

[0007] The power management module includes a power conversion module for converting input power into a voltage and current suitable for each component of the system, a battery management module for monitoring and managing the batteries in the system, an energy-saving control module for managing the use of system power, and an emergency power module for providing power support in emergency situations;

[0008] The data processing module includes a signal processing module for processing received wireless signals, a data storage module for storing data and logs generated during the operation of the system, a data transmission module for transmitting the processed data to a central control system or other modules via a wired or wireless network, and a data encryption module for encrypting the transmitted and stored data;

[0009] The control and monitoring module includes a system monitoring module for real-time monitoring of the operating status of the DECT system, a user interface module for providing an interface for user interaction with the system, a remote management module for allowing a system administrator to remotely monitor and manage the DECT system, and an AR auxiliary module for allowing maintenance personnel to view the operating status and maintenance information of the DECT system in real time through AR glasses or mobile devices.

[0010] The present invention is further configured as follows: the AR auxiliary module includes an AR display module for displaying maintenance information and operation steps to maintenance personnel in an augmented reality manner through AR glasses or mobile devices, a data acquisition module for collecting environmental data and equipment status data in the substation cabinet, a data processing module for processing and analyzing the collected data, a fault determination module for automatically determining equipment fault points based on sensor data and historical maintenance records and marking them on an AR interface, a user interaction module for automatically generating and displaying specific maintenance steps and operation guides based on fault types and equipment status, and for providing an interactive interface between users and the AR system, and a remote assistance module for allowing remote experts to view maintenance conditions in real time through the AR system and provide guidance;

[0011] The fault determination module includes an acoustic monitoring module for detecting abnormal sounds of equipment in the transformer cabinet using a high-sensitivity microphone and an acoustic analysis algorithm; a thermal imaging analysis module for monitoring the temperature distribution in the transformer cabinet using a thermal imaging camera; a multi-dimensional fusion module for fusing and analyzing data from different sensors; an autonomous learning module for continuously optimizing the fault determination model based on system operation data and maintenance records and through an adaptive learning algorithm; a virtual sensing module for creating virtual sensors using existing sensor data and physical models to monitor parameters that are difficult to measure directly; an intelligent diagnosis module for generating a detailed fault diagnosis report based on the fault determination results using an expert system and a rule engine; and a suggestion generation module for automatically generating the best repair suggestions and operating steps based on the diagnosis results and historical maintenance data;

[0012] The maintenance determination module includes an SOP database module for storing all equipment-related standard operating procedures and maintenance manuals, a rule engine module for retrieving corresponding maintenance steps from the SOP database according to the fault type and equipment status, a data feedback module for collecting real-time feedback data during the maintenance process, an autonomous optimization module for continuously optimizing maintenance steps and processes based on historical maintenance data and operation feedback through a machine learning algorithm, and a remote assistance module for dynamically adjusting maintenance steps according to the specific operating status and environmental conditions of the equipment.

[0013] The present invention is further configured as follows: the data acquisition module is responsible for collecting environmental data and equipment status data in the substation cabinet, transmitting them to the AR display module and displaying these data to the maintenance personnel in an augmented reality manner; the raw data collected by the data acquisition module is transmitted to the data processing module for processing and analysis; the data processing module transmits the processed and analyzed data to the fault determination module and uses these data to automatically determine the equipment fault point and mark it on the AR interface; the fault determination module identifies and marks the equipment fault point, transmits the fault type and equipment status information to the maintenance step determination module and automatically generates specific maintenance steps and operation instructions; the maintenance steps and operation instructions generated by the maintenance step determination module are transmitted to the user interaction module and displayed to the maintenance personnel through the interactive interface; the user interaction module provides an interactive interface between the user and the AR system so that the maintenance personnel can report the on-site situation; the remote assistance module allows remote experts to view the maintenance situation in real time through the AR system and provide guidance;

[0014] The fault judgment module transmits the fault information to the acoustic monitoring module and uses a high-sensitivity microphone for acoustic monitoring; the acoustic monitoring module transmits the monitored acoustic data to the thermal imaging analysis module and uses a thermal imaging camera to monitor the temperature distribution in the transformer cabinet; the thermal imaging analysis module transmits the temperature distribution data to the maintenance judgment module and generates specific maintenance steps and operation instructions based on the data; the fault judgment module transmits the fault information to the multi-dimensional fusion module and performs fusion analysis on the data from different sensors; the multi-dimensional fusion module transmits the fusion analyzed data to the autonomous learning module and uses an adaptive learning algorithm to continuously optimize the fault judgment model; the autonomous learning module The module transmits the optimized model data to the virtual sensor module and uses the existing sensor data and physical model to create a virtual sensor for monitoring; the virtual sensor module transmits the monitoring data to the maintenance judgment module and generates specific maintenance steps and operation guidelines based on the data; the fault judgment module transmits the fault information to the intelligent diagnosis module and generates a detailed fault diagnosis report using the expert system and rule engine; the intelligent diagnosis module transmits the fault diagnosis report to the suggestion generation module and generates the optimal repair suggestion based on the diagnosis results and historical maintenance data; the suggestion generation module transmits the repair suggestion to the maintenance judgment module and generates specific maintenance steps and operation guidelines based on the suggestion;

[0015] The maintenance judgment module transmits the maintenance steps and operation guides to the SOP database module and stores the relevant standard operating procedures and maintenance manuals; the SOP database module retrieves the corresponding standard operating procedures and maintenance manuals from the database and transmits them to the rule engine module and generates specific maintenance steps; the rule engine module transmits the generated specific maintenance steps to the user interaction module and displays them to the maintenance personnel through the interactive interface; the maintenance judgment module transmits the maintenance steps and operation guides to the data feedback module and collects real-time feedback data during the maintenance process; the data feedback module transmits the collected real-time feedback data to the autonomous optimization module and optimizes the maintenance steps and processes according to historical maintenance data and operation feedback through a machine learning algorithm; the autonomous optimization module transmits the optimized maintenance steps to the situational awareness module and dynamically adjusts them according to the specific operating status and environmental conditions of the equipment; the situational awareness module transmits the dynamically adjusted maintenance steps to the user interaction module and displays them to the maintenance personnel through the interactive interface.

[0016] The present invention is further configured as follows: the base station module is responsible for wireless communication with a handheld device or other terminal device and for receiving and sending wireless signals through an antenna module; the wireless signals received and sent by the antenna module are transmitted to a frequency management module, which manages and allocates wireless frequencies; the wireless frequencies managed and allocated by the frequency management module are transmitted to a channel coding module, which encodes and decodes data.

[0017] The present invention is further configured as follows: the power conversion module converts the input power into a voltage and current suitable for use by various components of the system and transmits it to the battery management module and monitors and manages the batteries in the system; the battery information monitored and managed by the battery management module is transmitted to the energy-saving control module and the use of the system power is managed; the system power information managed by the energy-saving control module is transmitted to the emergency power supply module and provides power support in an emergency.

[0018] The present invention is further configured as follows: the signal processing module processes the received wireless signal and passes the generated data and logs to the data storage module for storage; the system data and logs stored in the data storage module are passed to the data transmission module and transmitted to the central control system or other modules via a wired or wireless network; the data transmitted by the data transmission module is passed to the data encryption module and encrypted.

[0019] The present invention is further configured as follows: the system monitoring module monitors the operating status of the DECT system in real time and transmits the information to the user interface module for user viewing and interaction; the user interaction information provided by the user interface module is transmitted to the remote management module and allows the system administrator to monitor and manage the DECT system remotely; the system information monitored and managed by the remote management module is transmitted to the AR auxiliary module and is used by maintenance personnel to view the operating status and maintenance information of the DECT system in real time through AR glasses or mobile devices.

[0020] In a second aspect, the present application provides a substation, wherein the substation includes the DECT system as described in any one of the above embodiments.

[0021] The beneficial effects of the present invention are:

[0022] 1. The present invention realizes efficient operation management through the synergy of wireless communication, power management, data processing and system monitoring modules. The wireless communication module ensures stable signal transmission, the power management module ensures the reliability of system power supply, the data processing module processes and stores data and encrypts it, and the control monitoring module monitors the system status in real time. These functions enable the DECT system to detect and identify abnormal sounds of equipment in a timely manner, automatically determine faults and generate maintenance steps, and support remote assistance to ensure safe operation of equipment and significantly improve maintenance efficiency and accuracy.

[0023] 2. The module of the present invention realizes the augmented reality display of maintenance information and operating steps through the collaborative work of data acquisition, data processing, fault judgment, maintenance judgment, user interaction and remote assistance modules. The data acquisition module collects the environment and equipment status data in the substation cabinet, and displays it to the maintenance personnel through the AR display module. The data processing module processes and analyzes these data, and passes the results to the fault judgment module. The fault judgment module automatically determines the equipment fault point and marks it on the AR interface, passes the fault information to the maintenance judgment module, and generates specific maintenance steps and operating instructions. The user interaction module displays this information and allows maintenance personnel to report on-site conditions, and the remote assistance module enables remote experts to view and provide guidance in real time. Through the collaborative work of these modules, the AR auxiliary module can display maintenance information and operating steps in an augmented reality manner, provide real-time remote assistance, and ensure efficient and accurate maintenance operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 Schematic diagram of the system in the present invention.

[0025] Figure 2 It is a partial system diagram of the AR auxiliary module in the present invention. DETAILED DESCRIPTION

[0026] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0027] Example 1

[0028] like Figure 1 As shown, a DECT system includes a wireless communication module for realizing wireless communication within and outside the system, a power management module for providing reliable power management and emergency power support, a data processing module for processing, storing and transmitting system data, and a control monitoring module for real-time monitoring and management of system operation;

[0029] The wireless communication module includes a base station module for wirelessly communicating with a handheld device or other terminal devices, an antenna module for sending and receiving wireless signals, a frequency management module for managing and allocating wireless frequencies, and a channel coding module for encoding and decoding data.

[0030] The power management module includes a power conversion module for converting input power into a voltage and current suitable for each component of the system, a battery management module for monitoring and managing the batteries in the system, an energy-saving control module for managing the use of system power, and an emergency power module for providing power support in emergency situations;

[0031] The data processing module includes a signal processing module responsible for processing received wireless signals, a data storage module for storing data and logs generated during the operation of the system, a data transmission module responsible for transmitting the processed data to a central control system or other modules via a wired or wireless network, and a data encryption module for encrypting the transmitted and stored data.

[0032] The control and monitoring module includes a system monitoring module for real-time monitoring of the operating status of the DECT system, a user interface module for providing an interface for user interaction with the system, a remote management module for allowing a system administrator to remotely monitor and manage the DECT system, and an AR auxiliary module for allowing maintenance personnel to view the operating status and maintenance information of the DECT system in real time through AR glasses or mobile devices;

[0033] The base station module is responsible for wireless communication with handheld devices or other terminal devices and receiving and sending wireless signals through the antenna module; the wireless signals received and sent by the antenna module are transmitted to the frequency management module, which manages and allocates wireless frequencies; the wireless frequencies managed and allocated by the frequency management module are transmitted to the channel coding module, which encodes and decodes the data.

[0034] The power conversion module converts the input power into a voltage and current suitable for use by various components of the system and passes it to the battery management module to monitor and manage the batteries in the system; the battery information monitored and managed by the battery management module is passed to the energy-saving control module and the use of the system power is managed; the system power information managed by the energy-saving control module is passed to the emergency power supply module and provides power support in an emergency.

[0035] The signal processing module processes the received wireless signal and passes the generated data and logs to the data storage module for storage; the system data and logs stored in the data storage module are passed to the data transmission module and transmitted to the central control system or other modules through a wired or wireless network; the data transmitted by the data transmission module is passed to the data encryption module and encrypted.

[0036] The system monitoring module monitors the operating status of the DECT system in real time and passes the information to the user interface module for user viewing and interaction; the user interaction information provided by the user interface module is passed to the remote management module and allows the system administrator to monitor and manage the DECT system remotely; the system information monitored and managed by the remote management module is passed to the AR auxiliary module and allows maintenance personnel to view the operating status and maintenance information of the DECT system in real time through AR glasses or mobile devices.

[0037] In the above embodiment, the DECT system includes a wireless communication module, a power management module, a data processing module and a control monitoring module. The wireless communication module wirelessly communicates with the handheld device through the base station module, the antenna module is responsible for sending and receiving signals, the frequency management module manages and allocates wireless frequencies, and the channel coding module performs data encoding and decoding. The power management module converts the input power through the power conversion module, the battery management module monitors and manages battery information, the energy-saving control module manages power usage, and the emergency power module provides emergency power support. The data processing module processes wireless signals through the signal processing module, the data storage module stores the generated data and logs, the data transmission module transmits data through the network, and the data encryption module encrypts the data. The control monitoring module monitors the system operation status in real time through the system monitoring module, the user interface module provides an interactive interface, the remote management module allows the administrator to remotely monitor and manage the system, and the AR auxiliary module displays the system operation status and maintenance information through the AR device. The cross-module working relationship includes the signal of the wireless communication module being transmitted to the data processing module for processing, the system data processed and stored by the data processing module being transmitted to the control monitoring module for real-time monitoring, the power status information managed by the power management module being transmitted to the control monitoring module for monitoring, and the system operation status information monitored by the control monitoring module being transmitted to the wireless communication module for status adjustment. Through the coordinated operation of these modules and working relationships, the DECT system can achieve efficient wireless communication, power management, data processing and system monitoring functions.

[0038] The signals received and sent by the wireless communication module are transmitted to the signal processing module of the data processing module for processing; the system data processed and stored by the data processing module are transmitted to the system monitoring module of the control monitoring module for real-time monitoring.

[0039] The power status information managed by the power management module is transmitted to the system monitoring module of the control monitoring module for real-time monitoring; the system operation status information monitored by the control monitoring module is transmitted to the base station module of the wireless communication module for wireless communication status adjustment.

[0040] Example 2

[0041] like Figure 1-2As shown, a DECT system, the AR auxiliary module includes an AR display module for displaying maintenance information and operation steps to maintenance personnel in an augmented reality manner through AR glasses or mobile devices, a data acquisition module for collecting environmental data and equipment status data in the substation, a data processing module for processing and analyzing the collected data, a fault determination module for automatically determining equipment fault points based on sensor data and historical maintenance records and marking them on an AR interface, a user interaction module for automatically generating and displaying specific maintenance steps and operation guides based on fault types and equipment status, a user interaction module for providing an interactive interface between users and the AR system, and a remote assistance module for allowing remote experts to view maintenance conditions in real time through the AR system and provide guidance.

[0042] The fault judgment module includes an acoustic monitoring module for detecting abnormal sounds of equipment in the substation using a high-sensitivity microphone and an acoustic analysis algorithm; a thermal imaging analysis module for monitoring the temperature distribution in the substation using a thermal imaging camera; a multi-dimensional fusion module for fusing and analyzing data from different sensors; an autonomous learning module for continuously optimizing the fault judgment model based on system operation data and maintenance records and through an adaptive learning algorithm; a virtual sensing module for creating virtual sensors using existing sensor data and physical models to monitor parameters that are difficult to measure directly; an intelligent diagnosis module for generating a detailed fault diagnosis report based on the fault judgment results using an expert system and a rule engine; and a suggestion generation module for automatically generating the best repair suggestions and operating procedures based on the diagnosis results and historical maintenance data.

[0043] The maintenance determination module includes an SOP database module for storing all equipment-related standard operating procedures and maintenance manuals, a rule engine module for retrieving corresponding maintenance steps from the SOP database according to the fault type and equipment status, a data feedback module for collecting real-time feedback data during the maintenance process, an autonomous optimization module for continuously optimizing maintenance steps and processes based on historical maintenance data and operation feedback through a machine learning algorithm, and a remote assistance module for dynamically adjusting maintenance steps according to the specific operating status and environmental conditions of the equipment;

[0044] The data acquisition module is responsible for collecting environmental data and equipment status data in the substation cabinet, transmitting them to the AR display module and displaying these data to maintenance personnel in an augmented reality manner; the raw data collected by the data acquisition module is transmitted to the data processing module for processing and analysis; the data processing module transmits the processed and analyzed data to the fault judgment module and uses these data to automatically determine the equipment fault point and mark it on the AR interface; the fault judgment module identifies and marks the fault point of the equipment, passes the fault type and equipment status information to the maintenance step judgment module, and automatically generates specific maintenance steps and operation guidelines; the maintenance steps and operation guidelines generated by the maintenance step judgment module are passed to the user interaction module and displayed to the maintenance personnel through the interactive interface; the user interaction module provides an interactive interface between the user and the AR system so that maintenance personnel can report on-site conditions. The remote assistance module allows remote experts to view maintenance conditions in real time through the AR system and provide guidance.

[0045] The fault judgment module transmits the fault information to the acoustic monitoring module and uses a high-sensitivity microphone for acoustic monitoring; the acoustic monitoring module transmits the monitored acoustic data to the thermal imaging analysis module and uses a thermal imaging camera to monitor the temperature distribution in the transformer cabinet; the thermal imaging analysis module transmits the temperature distribution data to the maintenance judgment module and generates specific maintenance steps and operation instructions based on the data; the fault judgment module transmits the fault information to the multi-dimensional fusion module and performs fusion analysis on the data from different sensors; the multi-dimensional fusion module transmits the fusion analyzed data to the autonomous learning module and uses an adaptive learning algorithm to continuously optimize the fault judgment model; the autonomous learning module The module transmits the optimized model data to the virtual sensor module and uses the existing sensor data and physical model to create a virtual sensor for monitoring; the virtual sensor module transmits the monitoring data to the maintenance judgment module and generates specific maintenance steps and operation guidelines based on the data; the fault judgment module transmits the fault information to the intelligent diagnosis module and generates a detailed fault diagnosis report using the expert system and rule engine; the intelligent diagnosis module transmits the fault diagnosis report to the suggestion generation module and generates the optimal repair suggestion based on the diagnosis results and historical maintenance data; the suggestion generation module transmits the repair suggestion to the maintenance judgment module and generates specific maintenance steps and operation guidelines based on the suggestion.

[0046] The maintenance judgment module transmits the maintenance steps and operation guides to the SOP database module and stores the relevant standard operating procedures and maintenance manuals; the SOP database module retrieves the corresponding standard operating procedures and maintenance manuals from the database and transmits them to the rule engine module and generates specific maintenance steps; the rule engine module transmits the generated specific maintenance steps to the user interaction module and displays them to the maintenance personnel through the interactive interface; the maintenance judgment module transmits the maintenance steps and operation guides to the data feedback module and collects real-time feedback data during the maintenance process; the data feedback module transmits the collected real-time feedback data to the autonomous optimization module and optimizes the maintenance steps and processes according to historical maintenance data and operation feedback through a machine learning algorithm; the autonomous optimization module transmits the optimized maintenance steps to the situational awareness module and dynamically adjusts them according to the specific operating status and environmental conditions of the equipment; the situational awareness module transmits the dynamically adjusted maintenance steps to the user interaction module and displays them to the maintenance personnel through the interactive interface.

[0047] In the above embodiment, the AR auxiliary module realizes the augmented reality display of maintenance information and operation steps through the collaborative work of the data acquisition module, the data processing module, the fault determination module, the maintenance determination module, the user interaction module and the remote assistance module. The data acquisition module is responsible for collecting the environmental data and equipment status data in the substation cabinet, and transmitting them to the AR display module to display them to the maintenance personnel in an augmented reality manner, and at the same time transmitting the original data to the data processing module for processing and analysis. After the data processing module processes and analyzes the collected data, it passes the results to the fault determination module. The fault determination module uses these data to automatically determine the equipment fault point and mark it on the AR interface, passes the fault type and equipment status information to the maintenance step determination module, and automatically generates specific maintenance steps and operation instructions. The maintenance steps and operation instructions generated by the maintenance determination module are passed to the user interaction module, displayed to the maintenance personnel through the interactive interface, and real-time feedback data during the maintenance process are collected. The maintenance steps are optimized according to historical data and operation feedback through the autonomous optimization module, and dynamically adjusted by the context perception module according to the specific operating status and environmental conditions of the equipment. The user interaction module provides an interactive interface between the user and the AR system, enabling maintenance personnel to report on-site conditions. The remote assistance module allows remote experts to view maintenance status in real time and provide guidance through the AR system. Through the collaborative work of these modules, the AR assistance module can display maintenance information and operation steps to maintenance personnel in an augmented reality way and provide real-time remote assistance to ensure efficient and accurate maintenance operations.

[0048] Among them, the working principle and related formulas of the acoustic monitoring module

[0049] 1. Acquisition and preprocessing of acoustic signals

[0050] First, the sound wave signal in the transformer cabinet is collected by a high-sensitivity microphone. Assume that the collected sound wave signal is s(t), where (t) represents time.

[0051] 2. Time domain analysis

[0052] Time domain analysis can directly observe the amplitude and timing characteristics of acoustic wave signals.

[0053] Mean: average value of the signal

[0054]

[0055] Variance: The strength of the signal fluctuations

[0056]

[0057] 3. Frequency domain analysis

[0058] Through Fourier transform, the time domain signal is converted into a frequency domain signal so that the frequency component of the signal can be observed.

[0059] Fourier Transform:

[0060]

[0061] Power Spectral Density:

[0062]

[0063] 4. Feature extraction

[0064] Extract features from frequency domain signals, such as main frequency components, harmonic components, etc.

[0065] Frequency center: reflects the frequencies where the signal energy is concentrated

[0066]

[0067] Frequency bandwidth: reflects the distribution range of the frequency components of the signal

[0068]

[0069] 5. Anomaly Detection

[0070] Abnormal signals are detected by analyzing the characteristics of acoustic signals. Common methods include:

[0071] Short-time Fourier transform (STFT): used to analyze the time-frequency characteristics of a signal

[0072]

[0073] where w(t) is the window function.

[0074] Mel-frequency cepstral coefficients (MFCC): used to extract the main acoustic features of the signal

[0075] 1. Framing and windowing: Framing and windowing the signal;

[0076] 2. Calculate the Fourier transform X(k) of each frame;

[0077] 3. Calculate the output M(m) of the Mel frequency filter bank;

[0078] 4. Calculate the log power spectrum ;

[0079] 5. Calculate the discrete cosine transform (DCT) to get the MFCC coefficients.

[0080] 6. Abnormal sound identification

[0081] Use machine learning or deep learning algorithms to classify and identify the extracted features to determine whether there is abnormal sound. For example, support vector machines (SVM) and convolutional neural networks (CNN) are used.

[0082] Support Vector Machines:

[0083]

[0084] Convolutional Neural Networks:

[0085]

[0086] in, represents the convolution operation and (f) is the activation function.

[0087] Through the above steps, the acoustic monitoring module can detect and identify abnormal sounds of equipment in the substation cabinet, discover potential faults in time, and ensure the normal operation and safety of the equipment.

[0088] Working principle: When the present invention is used, the data acquisition module first uses a high-sensitivity microphone and sensor to collect environmental and equipment status data. The data processing module processes and analyzes these data, extracts signal features, and performs frequency domain analysis through Fourier transform and Mel-frequency cepstral coefficient (MFCC) methods. The fault determination module uses the processed data to detect and mark the fault point and displays it on the AR interface. The maintenance determination module retrieves the corresponding maintenance steps from the SOP database and generates an operation guide based on the fault type and equipment status. The user interaction module displays the maintenance steps and allows maintenance personnel to report on-site conditions. The remote assistance module enables remote experts to view the maintenance status in real time and provide guidance. The system monitoring module monitors the operating status in real time, the data feedback module collects feedback during the maintenance process, the autonomous optimization module optimizes the maintenance steps through machine learning, and the situational awareness module dynamically adjusts the maintenance steps according to the specific operating status and environmental conditions. Through these steps, the DECT system realizes efficient data acquisition, processing, fault determination and maintenance operations in the substation through the AR auxiliary module to ensure the normal operation and safety of the equipment.

[0089] In a second aspect, the present application provides a substation, wherein the substation includes the DECT system as described in any one of the above embodiments.

[0090] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A DECT system, characterized in that: It includes a wireless communication module for realizing wireless communication inside and outside the system, a power management module for providing reliable power management and emergency power support, a data processing module for processing, storing and transmitting system data, and a control monitoring module for real-time monitoring and management of system operation; The wireless communication module includes a base station module for wirelessly communicating with a handheld device, an antenna module for transmitting and receiving wireless signals, a frequency management module for managing and allocating wireless frequencies, and a channel coding module for encoding and decoding data; The power management module includes a power conversion module for converting input power into a voltage and current suitable for each component of the system, a battery management module for monitoring and managing the batteries in the system, an energy-saving control module for managing the use of system power, and an emergency power module for providing power support in emergency situations; The data processing module includes a signal processing module for processing received wireless signals, a data storage module for storing data and logs generated during the operation of the system, a data transmission module for transmitting the processed data to the central control system via a wired or wireless network, and a data encryption module for encrypting the transmitted and stored data; The control and monitoring module includes a system monitoring module for real-time monitoring of the operating status of the DECT system, a user interface module for providing an interface for user interaction with the system, a remote management module for allowing a system administrator to remotely monitor and manage the DECT system, and an AR auxiliary module for allowing maintenance personnel to view the operating status and maintenance information of the DECT system in real time through AR glasses; The AR auxiliary module includes an AR display module for displaying maintenance information and operation steps to maintenance personnel in an augmented reality manner through AR glasses, a data acquisition module for collecting environmental data and equipment status data in the substation cabinet, a data processing module for processing and analyzing the collected data, a fault determination module for automatically determining equipment fault points based on sensor data and historical maintenance records and marking them on an AR interface, a maintenance determination module for automatically generating and displaying specific maintenance steps and operation guides based on fault types and equipment status, a user interaction module for providing an interactive interface between users and the AR system, and a remote assistance module for allowing remote experts to view maintenance conditions in real time through the AR system and provide guidance; The fault determination module includes an acoustic monitoring module for detecting abnormal sounds of equipment in the transformer cabinet using a high-sensitivity microphone and an acoustic analysis algorithm; a thermal imaging analysis module for monitoring the temperature distribution in the transformer cabinet using a thermal imaging camera; a multi-dimensional fusion module for fusing and analyzing data from different sensors; an autonomous learning module for continuously optimizing the fault determination model based on system operation data and maintenance records and through an adaptive learning algorithm; a virtual sensing module for creating virtual sensors using existing sensor data and physical models to monitor parameters that are difficult to measure directly; an intelligent diagnosis module for generating a detailed fault diagnosis report based on the fault determination results using an expert system and a rule engine; and a suggestion generation module for automatically generating the best repair suggestions and operating steps based on the diagnosis results and historical maintenance data; The maintenance determination module includes an SOP database module for storing all equipment-related standard operating procedures and maintenance manuals, a rule engine module for retrieving corresponding maintenance steps from the SOP database according to the fault type and equipment status, a data feedback module for collecting real-time feedback data during the maintenance process, an autonomous optimization module for continuously optimizing maintenance steps and processes based on historical maintenance data and operation feedback through a machine learning algorithm, and a remote assistance module for dynamically adjusting maintenance steps according to the specific operating status and environmental conditions of the equipment; The data acquisition module is responsible for collecting environmental data and equipment status data in the substation cabinet, transmitting them to the AR display module and displaying these data to maintenance personnel in an augmented reality manner; the raw data collected by the data acquisition module is transmitted to the data processing module for processing and analysis; the data processing module transmits the processed and analyzed data to the fault determination module and uses these data to automatically determine the equipment fault point and mark it on the AR interface; the fault determination module identifies and marks the equipment fault point, transmits the fault type and equipment status information to the maintenance determination module, and automatically generates specific maintenance steps and operation instructions; the maintenance steps and operation instructions generated by the maintenance determination module are transmitted to the user interaction module and displayed to the maintenance personnel through the interactive interface; the user interaction module provides an interactive interface between the user and the AR system so that the maintenance personnel can report the on-site situation, and the remote assistance module allows remote experts to view the maintenance situation in real time through the AR system and provide guidance; The fault determination module transmits the fault information to the acoustic monitoring module and performs acoustic monitoring using a high-sensitivity microphone; The acoustic monitoring module transmits the monitored acoustic data to the thermal imaging analysis module and uses a thermal imaging camera to monitor the temperature distribution in the transformer cabinet; the thermal imaging analysis module transmits the temperature distribution data to the maintenance judgment module and generates specific maintenance steps and operation guidelines based on the data; the fault judgment module transmits the fault information to the multidimensional fusion module and performs fusion analysis on the data from different sensors; the multidimensional fusion module transmits the fusion analyzed data to the autonomous learning module and continuously optimizes the fault judgment model using an adaptive learning algorithm; the autonomous learning module transmits the optimized model data to the virtual sensing module and uses the existing sensor data and physical model to create a virtual sensor for monitoring; the virtual sensing module transmits the monitoring data to the maintenance judgment module and generates specific maintenance steps and operation guidelines based on the data; the fault judgment module transmits the fault information to the intelligent diagnosis module and generates a detailed fault diagnosis report using an expert system and a rule engine; The intelligent diagnosis module transmits the fault diagnosis report to the suggestion generation module and generates the optimal repair suggestion based on the diagnosis result and historical maintenance data; the suggestion generation module transmits the repair suggestion to the maintenance determination module and generates specific maintenance steps and operation guidelines based on the suggestion; The maintenance judgment module transmits the maintenance steps and operation guides to the SOP database module and stores the relevant standard operating procedures and maintenance manuals; the SOP database module retrieves the corresponding standard operating procedures and maintenance manuals from the database and transmits them to the rule engine module and generates specific maintenance steps; the rule engine module transmits the generated specific maintenance steps to the user interaction module and displays them to the maintenance personnel through the interactive interface; the maintenance judgment module transmits the maintenance steps and operation guides to the data feedback module and collects real-time feedback data during the maintenance process; the data feedback module transmits the collected real-time feedback data to the autonomous optimization module and optimizes the maintenance steps and processes according to historical maintenance data and operation feedback through a machine learning algorithm; the autonomous optimization module transmits the optimized maintenance steps to the situational awareness module and dynamically adjusts them according to the specific operating status and environmental conditions of the equipment; the situational awareness module transmits the dynamically adjusted maintenance steps to the user interaction module and displays them to the maintenance personnel through the interactive interface.

2. A DECT system according to claim 1, characterized in that: The base station module is responsible for wireless communication with the handheld device and receiving and sending wireless signals through the antenna module; the wireless signals received and sent by the antenna module are transmitted to the frequency management module, which manages and allocates wireless frequencies; the wireless frequencies managed and allocated by the frequency management module are transmitted to the channel coding module, which encodes and decodes the data.

3. A DECT system according to claim 1, characterized in that: The power conversion module converts the input power into a voltage and current suitable for each component of the system and transmits it to the battery management module to monitor and manage the batteries in the system; The battery information monitored and managed by the battery management module is transmitted to the energy-saving control module and the use of the system power is managed; the system power information managed by the energy-saving control module is transmitted to the emergency power supply module and power support is provided in an emergency.

4. A DECT system according to claim 1, characterized in that: The signal processing module processes the received wireless signal and passes the generated data and logs to the data storage module for storage; the system data and logs stored in the data storage module are passed to the data transmission module and transmitted to the central control system via a wired or wireless network; the data transmitted by the data transmission module is passed to the data encryption module and encrypted.

5. A DECT system according to claim 1, characterized in that: The system monitoring module monitors the operating status of the DECT system in real time and transmits the information to the user interface module for user viewing and interaction; the user interaction information provided by the user interface module is transmitted to the remote management module and allows the system administrator to monitor and manage the DECT system remotely; The system information monitored and managed by the remote management module is transmitted to the AR auxiliary module and provided to maintenance personnel through AR glasses for real-time viewing of the operating status and maintenance information of the DECT system.

6. A substation, characterized in that: The substation comprises a DECT system as claimed in any one of claims 1 to 5.

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