Passive working condition vector detection system
By integrating energy acquisition, sensor, data processing and communication modules in the passive operating condition vector detection system, and combining machine learning technology, the problems of system energy acquisition, sensor accuracy and data transmission stability are solved, and efficient and reliable labor is achieved Condition monitoring and analysis provide scientific basis for equipment maintenance.
Patent Information
- Application Number
- CN202411371525.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-29
- Publication Date
- 2025-01-07
AI Technical Summary
The existing passive working condition vector detection system has problems in energy acquisition efficiency and stability, sensor accuracy and reliability, data processing and analysis capabilities, and communication distance and stability, which makes it difficult for the system to work continuously and stably and the data acquisition accuracy is not High, insufficient processing capacity and unstable data transmission in remote monitoring.
A passive working condition vector detection system including energy acquisition module, sensor module, data acquisition module, data processing module, data analysis and diagnosis module, user interface module, communication module and power management module was designed, and the environment was driven by weak energy. The system uses high-precision sensors and advanced signal processing technology, combines machine learning and neural networks for data analysis, and ensures the stability of data transmission through multiple communication protocols.
Improve energy acquisition efficiency and system stability, enhance the accuracy and reliability of data acquisition, improve data processing and analysis capabilities, ensure real-time and reliability of remote monitoring, reduce the risk of data transmission interruption or delay, and realize More accurate, reliable and efficient working condition vector detection.
Smart Images
Figure CN119272191A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of operating condition detection systems, and in particular to a passive operating condition vector detection system. Background Art
[0002] With the continuous development of technologies such as the Internet of Things, big data, and artificial intelligence, the passive operating vector detection system will play an increasingly important role in intelligent manufacturing, smart cities, environmental monitoring, and other fields. By real-time monitoring of the equipment's operating vector data, it provides a scientific basis for the operation and maintenance of the equipment, improves the equipment's operating efficiency and safety, and reduces maintenance costs. At the same time, the passive operating vector detection system can also provide strong support for the digital transformation and intelligent upgrading of enterprises. The passive operating vector detection system is a new detection system based on modern detection technology and sensor technology, with the characteristics of low power consumption, high precision, real-time and intelligence. With the continuous development of technology and the continuous expansion of application fields, the passive operating vector detection system will play a more important role in the future.
[0003] However, the existing passive working condition vector detection system has the following technical problems:
[0004] 1. The energy collected from the environment is weak and unstable, making it difficult to ensure the system continues to work stably;
[0005] 2. The sensor module may be interfered in a complex environment, affecting the accuracy and reliability of data collection;
[0006] 3. Processing and analyzing large amounts of real-time data requires powerful computing power, while accurately extracting useful features for fault diagnosis;
[0007] 4. In remote monitoring, the communication distance and stability may be affected by environmental factors, resulting in interruption or delay of data transmission. Summary of the invention
[0008] The purpose of the present invention is to propose a passive operating condition vector detection system in order to solve the problems of energy collection efficiency and stability, sensor accuracy and reliability, data processing and analysis capabilities, and communication distance and stability existing in traditional passive operating condition vector detection systems.
[0009] In order to achieve the above-mentioned objectives, the present invention adopts the following technical passive operating condition vector detection system: including an energy acquisition module, and also including: a sensor module, a data acquisition module, a data processing module, a data analysis and diagnosis module, a user interface module, a communication module, a power management module and a protection module. These modules work together to enable the passive operating condition vector detection system to monitor and analyze the operating condition vector data of the equipment in real time, and provide valuable information about the operating status of the equipment.
[0010] As a further description of the above-mentioned passive operating vector detection system:
[0011] The energy harvesting module includes those responsible for collecting weak light energy, heat energy, and vibration energy from the environment to drive other parts of the system. This is the key to realizing a passive detection system, allowing the system to operate without an external power supply; the sensor module includes those installed on the device or system to be detected, which are used to monitor and capture changes in various physical parameters in real time. These sensors convert the physical parameters into electrical signals for subsequent processing and analysis.
[0012] As a further description of the above-mentioned passive operating vector detection system:
[0013] The data acquisition module includes receiving the electrical signals from the sensor module and converting them into digital signals for further processing. The data acquisition module is also responsible for storing the data in the internal memory for subsequent analysis and review. The data processing module includes pre-processing the collected data to improve the data quality. Then, it will perform feature extraction and pattern recognition on the data to identify different operating states of the equipment. The module also includes some intelligent algorithms for automatically analyzing and interpreting the data.
[0014] As a further description of the above-mentioned passive operating vector detection system:
[0015] The data analysis and diagnosis module includes performing more in-depth analysis and diagnosis based on the information provided by the data processing module. The module uses machine learning, neural networks or other advanced technologies to identify abnormal behavior of equipment, predict potential failures, and provide maintenance recommendations. It also generates alarms and notifications to respond to any potential problems in a timely manner.
[0016] As a further description of the above-mentioned passive operating vector detection system:
[0017] The user interface module includes providing a friendly user interface to allow the user to interact with the system. The module usually includes a display screen for displaying the real-time status, historical data, alarms and notifications of the device. It also includes some input devices to allow the user to enter commands or configuration parameters.
[0018] As a further description of the above-mentioned passive operating vector detection system:
[0019] The communication module is responsible for sending the data and alarms generated by the system to a remote server, workstation or other device, which allows users to access system data away from the site and perform remote monitoring and control. The communication module usually supports multiple communication protocols and standards to ensure compatibility with different devices and systems.
[0020] As a further description of the above-mentioned passive operating vector detection system:
[0021] The power management module is responsible for monitoring and managing the energy collected from the energy collection module to ensure that the system can operate stably. In some cases, the power management module is also responsible for shutting down or reducing the power consumption of some non-critical components when the energy is insufficient. The protection module is responsible for monitoring the operating status of the system and taking necessary protection measures when the system faces potential risks or failures to ensure the stable operation of the system and data security.
[0022] As a further description of the above-mentioned passive operating vector detection system:
[0023] The protection module is responsible for monitoring the operating status of the system and taking necessary protection measures when the system faces potential risks or failures to ensure stable operation of the system and data security.
[0024] In summary, due to the adoption of the above-mentioned passive operating state vector detection system, the beneficial effects of the present invention are:
[0025] By adopting energy acquisition modules and sensor modules to improve energy acquisition efficiency, ensure continuous and stable operation of the system, and extend the system working time, high-precision and high-reliability sensors are selected, and advanced signal processing technology is adopted to improve the accuracy and reliability of data acquisition; through data acquisition modules and data processing modules; high-performance data processing and analysis hardware, namely embedded computing units and cloud computing platforms, are adopted, and advanced algorithms are combined to improve data processing and analysis capabilities; rapid processing and analysis of large amounts of real-time data are achieved, useful features are accurately extracted, and the accuracy and efficiency of fault diagnosis are improved; communication modules and power management modules are used, high-performance communication modules are adopted, multiple communication protocols and standards are supported, and reliable communication protocols and error handling mechanisms are designed to ensure the stability and reliability of data transmission; communication distance and stability are improved, the real-time and reliability of remote monitoring are ensured, and the risk of data transmission interruption or delay is reduced; the passive operating vector detection system can overcome technical problems in energy acquisition, sensor accuracy, data processing and communication, and improve the overall performance of the system; this will help to achieve more accurate, reliable and efficient operating vector detection, and provide strong support for equipment maintenance and management. BRIEF DESCRIPTION OF THE DRAWINGS
[0026] Figure 1 A schematic diagram of the system module structure provided according to an embodiment of the present invention is shown. DETAILED DESCRIPTION
[0027] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical passive working condition vector detection system in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0028] like Figure 1 As shown, the present invention provides: a passive operating condition vector detection system: including an energy acquisition module, and also including: a sensor module, a data acquisition module, a data processing module, a data analysis and diagnosis module, a user interface module, a communication module, a power management module and a protection module. These modules work together to enable the passive operating condition vector detection system to monitor and analyze the operating condition vector data of the equipment in real time, and provide valuable information about the operating status of the equipment.
[0029] The energy harvesting module is responsible for collecting weak light energy, heat energy, and vibration energy from the environment to drive other parts of the system. This is the key to realizing a passive detection system, allowing the system to operate without an external power supply.
[0030] The sensor module includes sensors installed on the device or system to be detected, and is used to monitor and capture changes in various physical parameters in real time. These sensors convert the physical parameters into electrical signals for subsequent processing and analysis.
[0031] The sensor element is the core part of the sensor module, responsible for directly sensing the changes in physical quantities. Depending on different detection requirements, the sensor element can be a thermistor, piezoelectric crystal, strain gauge, vibration sensor, etc. The sensor module includes a signal conversion circuit to convert the analog signal generated by the sensor element, namely the voltage and resistance change, into a digital signal suitable for subsequent processing. This usually includes amplification, filtering, and analog-to-digital conversion (ADC) steps to ensure the accuracy and reliability of the signal. The sensor element contains an interface circuit, which is responsible for transmitting the converted digital signal to the data acquisition module. According to different communication protocols and interface standards, the interface circuit can have different designs and implementation methods.
[0032] The data acquisition module is responsible for receiving the electrical signal from the sensor module and converting it into a digital signal for further processing. The data acquisition module is also responsible for storing the data in an internal memory for subsequent analysis and review.
[0033] The data processing module includes preprocessing the collected data to improve the data quality. Then, it will perform feature extraction and pattern recognition on the data to identify the different operating states of the equipment. The module also includes some intelligent algorithms for automatically analyzing and interpreting the data.
[0034] The data analysis and diagnosis module includes performing more in-depth analysis and diagnosis based on the information provided by the data processing module. The module uses machine learning, neural networks or other advanced technologies to identify abnormal behavior of equipment, predict potential failures, and provide maintenance recommendations. It also generates alarms and notifications to respond to any potential problems in a timely manner.
[0035] The user interface module includes providing a friendly user interface to allow the user to interact with the system. The module usually includes a display screen for displaying the real-time status, historical data, alarms and notifications of the device. It also includes some input devices to allow the user to enter commands or configuration parameters.
[0036] The communication module is responsible for sending the data and alarms generated by the system to a remote server, workstation or other device, which allows users to access system data away from the site and perform remote monitoring and control. The communication module usually supports multiple communication protocols and standards to ensure compatibility with different devices and systems.
[0037] The power management module is responsible for monitoring and managing the energy collected from the energy collection module to ensure that the system can operate stably. In some cases, the power management module is also responsible for shutting down or reducing the power consumption of certain non-critical components when energy is insufficient.
[0038] The protection module includes a function to monitor the operating status of the system and take necessary protective measures when the system faces potential risks or failures to ensure the stable operation of the system and data security. The protection module includes real-time monitoring, that is, the protection module can monitor various key parameters of the system in real time, such as voltage, current, temperature, and output signals of sensors. It also includes that through real-time monitoring, the protection module can promptly detect abnormal conditions of the system. And according to the data monitored in real time, the protection module can use built-in algorithms or logic to determine whether the system has a fault. When the system voltage exceeds the normal range, the protection module can identify abnormal voltage faults. Finally, once a system fault is identified, the protection module can automatically take protective measures, such as cutting off the power supply, shutting down related functional modules, etc., to prevent the fault from further expanding or causing more serious consequences. Recording and reporting: The protection module can also record information such as the time, type, and related system parameters of the fault, and generate a fault report. These records and reports are of great reference value for subsequent fault analysis and system maintenance.
[0039] Working principle: The passive operating vector detection system is mainly based on the collaborative work between various modules; first, the energy collection module collects weak energy from the environment, such as light energy, heat energy, vibration energy, etc., to provide the energy required for the operation of the entire system; next, the sensor module is installed on the equipment or system to be detected, capturing the changes in various physical parameters in real time and converting them into electrical signals. The data acquisition module receives these electrical signals and converts them into digital signals, storing them in the internal memory for subsequent processing; the data processing module then pre-processes the collected data, including filtering, denoising, calibration and other steps to improve data quality; then, the module performs feature extraction and pattern recognition on the processed data to identify the different operating states of the equipment; in this process, intelligent algorithms may be used to automatically analyze and interpret data;
[0040] The data analysis and diagnosis module conducts more in-depth analysis and diagnosis based on the information provided by the data processing module. Using machine learning, neural network and other technologies, the module can identify abnormal behavior of equipment, predict potential failures, and provide maintenance suggestions; once an abnormality or potential problem is found, the module will generate alarms and notifications, which will be displayed to the user through the user interface module;
[0041] The user interface module provides a friendly interactive interface, where users can view the real-time status, historical data, alarms, notifications and other information of the device through the display screen. At the same time, users can also interact with the system by inputting commands or configuring parameters through the input device;
[0042] In addition, the communication module is responsible for sending the data and alarms generated by the system to remote servers, workstations or other devices to achieve remote monitoring and control functions. The power management module monitors and manages the energy collected from the energy harvesting module to ensure that the system can operate stably and take corresponding measures when the energy is insufficient;
[0043] In summary, the passive operating condition vector detection system realizes real-time monitoring and analysis of equipment operating condition vector data through the collaborative work of various modules, provides valuable information for the equipment operation status, and realizes interaction with users and remote monitoring functions through the user interface and communication module.
[0044] 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 to the passive operating condition vector detection system and its inventive concept according to the technical scope disclosed by 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 passive working condition vector detection system, including an energy collection module, characterized in that: Also includes: The sensor module, data acquisition module, data processing module, data analysis and diagnosis module, user interface module, communication module, power management module and protection module work together to enable the passive operating vector detection system to monitor and analyze the operating vector data of the equipment in real time and provide valuable information about the operating status of the equipment.
2. The passive operating condition vector detection system according to claim 1, characterized in that: The energy harvesting module includes those responsible for collecting weak light energy, heat energy, and vibration energy from the environment to drive other parts of the system. This is the key to realizing a passive detection system, allowing the system to operate without an external power supply; the sensor module includes those installed on the device or system to be detected, which are used to monitor and capture changes in various physical parameters in real time. These sensors convert the physical parameters into electrical signals for subsequent processing and analysis.
3. The passive operating condition vector detection system according to claim 1, characterized in that: The data acquisition module is responsible for receiving the electrical signal from the sensor module and converting it into a digital signal for further processing. The data acquisition module is also responsible for storing the data in an internal memory for subsequent analysis and review.
4. The passive operating condition vector detection system according to claim 3, characterized in that: The data processing module includes preprocessing the collected data to improve the data quality. Then, it will perform feature extraction and pattern recognition on the data to identify the different operating states of the equipment. The module also includes some intelligent algorithms for automatically analyzing and interpreting the data.
5. The passive operating condition vector detection system according to claim 4, characterized in that: The data analysis and diagnosis module includes performing more in-depth analysis and diagnosis based on the information provided by the data processing module. The module uses machine learning, neural networks or other advanced technologies to identify abnormal behavior of equipment, predict potential failures, and provide maintenance recommendations. It also generates alarms and notifications to respond to any potential problems in a timely manner.
6. The passive operating condition vector detection system according to claim 5, characterized in that: The user interface module includes providing a friendly user interface to allow the user to interact with the system. The module usually includes a display screen for displaying the real-time status, historical data, alarms and notifications of the device. It also includes some input devices to allow the user to enter commands or configuration parameters.
7. The passive operating condition vector detection system according to claim 6, characterized in that: The communication module is responsible for sending the data and alarms generated by the system to a remote server, workstation or other device, which allows users to access system data away from the site and perform remote monitoring and control. The communication module usually supports multiple communication protocols and standards to ensure compatibility with different devices and systems.
8. The passive operating condition vector detection system according to claim 7, characterized in that: The power management module is responsible for monitoring and managing the energy collected from the energy collection module to ensure that the system can operate stably. In some cases, the power management module is also responsible for shutting down or reducing the power consumption of certain non-critical components when energy is insufficient.
9. The passive operating condition vector detection system according to claim 8, characterized in that: The protection module is responsible for monitoring the operating status of the system and taking necessary protection measures when the system faces potential risks or failures to ensure stable operation of the system and data security.