Respirator system with intelligent monitoring and analyzing function

Abstract

The invention provides a respirator system with an intelligent monitoring and analyzing function, and relates to the technical field of power equipment gas management and monitoring. The system comprises a control box, a body and an intelligent monitoring analysis platform, a silica gel chamber used for adsorbing moisture in air is arranged in the body, and heating pieces are evenly distributed in the silica gel chamber. The body is also provided with a temperature and humidity sensor, a pressure sensor and a flow sensor which are used for monitoring the internal environment and gas state of the equipment in real time; a control system is arranged in the control box, is connected with each sensor and the heating sheet, and is used for judging whether the equipment is in an air suction or exhaust state according to real-time data and controlling the heating sheet to start and stop; and the intelligent monitoring analysis platform is used for receiving the data uploaded by the control system and carrying out equipment state analysis and early warning prompt. Through the above structure, intelligent identification and remote monitoring of the working state of the respirator are realized, problems of moisture backflow, oil cup pollution and the like are avoided, and operation safety and maintenance efficiency of a transformer and on-load tap-changer equipment are improved.

Description

Technical Field

[0001] This application relates to the field of gas management and monitoring technology for power equipment, and in particular to a respirator system with intelligent monitoring and analysis functions. Background Technology

[0002] Transformers are crucial electrical equipment in power systems, and their stable operation directly impacts the reliability of the power supply. On-load tap changers, as a vital component of transformers, play an indispensable role in their operation, adjusting the tap position to control the output voltage according to power supply needs.

[0003] With the increasing demand for electricity, the requirements for power grid quality are becoming more stringent, and the adjustment of on-load tap changers is becoming more frequent. In power plants, the frequent operation of on-load tap changers results in a higher failure rate than other components of the transformer. Once an on-load tap changer fails and cannot adjust its taps normally, it will directly affect the normal operation of the transformer.

[0004] The high humidity at power plant sites allows moist air to easily enter the oil conservator, where condensation forms with temperature changes. This condensation accumulates inside the on-load tap changer, increasing its moisture content, degrading the oil quality, and reducing insulation strength. This can lead to insulation abnormalities and ultimately, malfunctions, severely impacting equipment operation. Furthermore, the silica gel desiccant inside the breather used on-site must be replaced once it becomes saturated with moisture. Failure to replace it promptly can render the breather ineffective, potentially causing moisture absorption into the insulating oil inside the on-load tap changer. Replacing silica gel is a routine task, requiring regular visual inspections on-site, and is time-consuming and labor-intensive, resulting in high labor and material costs. Improper disposal of the replaced silica gel waste can also pollute and damage the environment. Summary of the Invention

[0005] This application aims to at least partially address one of the technical problems in the related art.

[0006] Therefore, the purpose of this application is to propose a respirator system with intelligent monitoring and analysis functions.

[0007] To achieve the above objectives, this application proposes a respirator system with intelligent monitoring and analysis functions, including a control box, a main body, and an intelligent monitoring and analysis platform, wherein: The body contains a silica gel chamber, which is used to absorb moisture from the air. The main body is equipped with heating elements and various sensors. Among them, the temperature and humidity sensor is located at the upper end of the silicone chamber to detect the temperature and humidity inside the silicone chamber in real time; the heating elements are evenly distributed inside the silicone chamber to heat the silicone to remove the adsorbed moisture; the flow sensor is located near the gas inlet and outlet of the respirator system to monitor the outgoing gas flow rate; and the pressure sensor is located above the silicone chamber to sense the gas pressure on the main equipment side and the silicone chamber side. The control box contains a control system that connects the aforementioned sensors and heating elements to determine whether the equipment is currently in the intake or exhaust phase. When the humidity exceeds a set threshold, the heating elements are activated for drying. When the temperature is below a set lower limit, the electric auxiliary heating function is activated to prevent icing. During the exhaust phase, the heating is activated to prevent moisture from entering the equipment during the intake phase. The intelligent monitoring and analysis platform is used to receive the respirator operation status data uploaded by the control system and send it to the monitoring host to monitor the respirator status of the main transformer and on-load tap changer, while also performing remote data acquisition, communication, and fault alarm.

[0008] Optionally, the control box is also equipped with a respirator panel, which is equipped with a power indicator, a running indicator, an alarm indicator and a breathing status indicator to display the equipment status. When the respirator is in different operating states, the corresponding indicator lights on the panel will light up.

[0009] Optionally, the intelligent monitoring and analysis platform is specifically used for: Establish a parameter database based on the capacity of transformers of various specifications. Through system optimization algorithms, calculate the optimal state reference values ​​of the main transformer and on-load tap changer, and compare and analyze the real-time data to obtain the current real-time status of the equipment. If the equipment malfunctions, the intelligent monitoring and analysis platform will issue an early warning signal before the main equipment protection device to remind staff to perform maintenance or troubleshooting.

[0010] Optionally, the intelligent monitoring and analysis platform is further used for: When a short circuit or arcing fault occurs inside the on-load tap changer, causing the insulating oil in the oil chamber to decompose due to heat and generate gas, and the internal pressure of the oil chamber to increase sharply, the abnormal airflow change data sensed by the flow sensor and pressure sensor are collected and analyzed, a fault alarm signal is output, and the severity of the internal fault is assessed in combination with historical data.

[0011] Optionally, the intelligent monitoring and analysis platform is further used for: During the on-load tap changer switching process, the oil pressure and oil flow fluctuation characteristics caused by different transition resistances are analyzed. Based on the data collected by flow and pressure sensors, AI algorithms are used to determine whether there are potential safety hazards inside the oil chamber.

[0012] Optionally, the intelligent monitoring and analysis platform also has statistical analysis functions, used for: Based on accumulated data over the years, the operating status of on-load tap changers is automatically assessed and trends are predicted to help determine whether there are potential faults or aging risks in the equipment.

[0013] Optionally, the intelligent monitoring and analysis platform is used for: The system automatically optimizes the flow alarm threshold setting based on the historical operating records of the on-load tap changer, and immediately issues an early warning signal when the flow sensor detects that the real-time value exceeds the threshold, thus achieving early warning before the gas relay or pressure relief device operates and reducing the scope of the fault impact.

[0014] The technical solutions provided by the embodiments of this application bring at least the following beneficial effects: (1) To realize intelligent monitoring and dynamic control of the respirator system, by combining the application of multiple sensors such as temperature, humidity, flow and pressure, and combining the control system and heating components, the equipment has the ability to autonomously judge the state of inhalation and exhaust, humidity changes, temperature abnormalities and other situations, and can accurately control the start and stop of the heating plate, thereby effectively keeping the silica gel dry and extending the service life of the respirator.

[0015] (2) It has the ability to remotely monitor and provide early warning of faults. Through the intelligent monitoring and analysis platform, it can collect the operating data of the respirator in real time and upload it to the monitoring host. It supports remote management, data communication and automatic alarm, improves equipment management efficiency and reduces operation and maintenance costs.

[0016] (3) Improve the advance and accuracy of fault response. By using AI algorithms to analyze multi-dimensional data such as breathing frequency, gas flow rate, and pressure, when changes in breathing characteristics caused by internal abnormalities such as short circuits or arc discharge are detected, the system can issue an early warning before gas protection or pressure relief devices, thereby effectively preventing major equipment failures.

[0017] (4) Eliminate the pollution risk caused by the traditional oil cup structure. The oil cup is eliminated through structural optimization and the breathing status indicator is used to indicate the status. This avoids the inhalation of oil and gas during the inhalation stage, which contaminates the silica gel and reduces the possibility of blockage or failure caused by oil contamination.

[0018] (5) It has the ability to accumulate operating data and learn intelligently. The system can automatically establish a parameter database based on the capacity of transformers of different specifications, and continuously optimize alarm thresholds and analysis models by combining historical operating data, so as to realize intelligent evaluation and adaptive adjustment of equipment status.

[0019] (6) Enhance the ability to identify minute fluctuations in equipment. The system can sense and learn minute parameter changes such as transition resistance switching and internal oil pressure fluctuations, thereby identifying potential safety hazards in advance and improving the safety and intelligence level of the system.

[0020] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0021] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 This is a schematic diagram of the structure of a respirator system with intelligent monitoring and analysis function provided in an embodiment of this application; Figure 2 This is a schematic diagram illustrating the working principle of a respirator system with intelligent monitoring and analysis function provided in an embodiment of this application. Figure 3 This is a schematic diagram of a respirator system with intelligent monitoring and analysis function provided in an embodiment of this application; Figure 4 This is a schematic diagram showing the location of the flow sensor in the intelligent respirator provided in an embodiment of this application; Figure 5 This is a schematic diagram showing the location of the pressure sensor in the intelligent respirator provided in an embodiment of this application; Figure 6 This is a diagram showing the panel layout of the intelligent respirator provided in an embodiment of this application. Detailed Implementation

[0022] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0023] To address the problems existing in current solutions, this application provides a respirator system with intelligent monitoring and analysis capabilities. Figure 1 This is a schematic diagram of the structure of a respirator system with intelligent monitoring and analysis function provided in an embodiment of this application; Figure 2 This is a schematic diagram illustrating the working principle of a respirator system with intelligent monitoring and analysis function provided in an embodiment of this application. Figure 3 This is a schematic diagram of a respirator system with intelligent monitoring and analysis function provided in an embodiment of this application.

[0024] like Figure 1 As shown, the system includes a control box, the main body, and an intelligent monitoring and analysis platform.

[0025] In this embodiment, a silicone chamber is provided inside the body, which is used to absorb moisture from the air. Figure 2 This is a schematic diagram illustrating the working principle of a respirator system with intelligent monitoring and analysis functions provided in this application embodiment. According to the working principle, in the technical solution of this application embodiment, a temperature and humidity sensor needs to be installed on the upper end of the silicone chamber of the respirator, and heating pads are evenly distributed inside the silicone chamber to heat and remove moisture from the silicone chamber, keeping the silicone dry. Specifically, the main body is equipped with heating pads and various sensors. The temperature and humidity sensor is located at the upper end of the silicone chamber to detect the temperature and humidity inside the silicone chamber in real time; the heating pads are evenly distributed inside the silicone chamber to heat the silicone to remove the adsorbed moisture.

[0026] In this embodiment, the control box contains a control system electrically connected to a temperature and humidity sensor, a flow sensor, a pressure sensor, and a heating element mounted on the respirator body. The control system comprehensively analyzes the real-time data collected by each sensor to determine whether the device is currently in the inhalation or exhalation phase, and accordingly adjusts the heating element accordingly.

[0027] Specifically, in this embodiment, when the temperature and humidity sensor detects that the humidity inside the silicone chamber exceeds the set upper limit threshold, the control system automatically starts the heating element to heat and dry the silicone, thereby effectively removing moisture and keeping the silicone in a dry state; when the temperature sensor detects that the temperature of the silicone chamber is lower than the set lower limit temperature threshold, the control system activates the electric auxiliary heating function to effectively prevent icing or equipment blockage caused by water vapor condensation in low-temperature environments.

[0028] Furthermore, in this embodiment, the control system is also used to identify whether the respirator is currently in the exhaust or inhalation phase, prioritizing the activation of the heating function during the exhaust phase to prevent heated water vapor generated during the inhalation phase from being drawn into the main equipment, which could potentially affect the main transformer or on-load tap changer. Through this control strategy, the moisture absorption performance of the silicone material is ensured, and system anomalies caused by water vapor backflow or excessively low temperatures are effectively avoided, thereby improving the overall operational reliability and intelligence level of the equipment.

[0029] In this embodiment of the application, in order to realize the online sensing function of the respirator system, a pressure sensor and a flow sensor are further provided on the basis of the above structure to enhance the device's dynamic sensing capability and intelligent analysis level of the main device's operating status.

[0030] In the embodiments of this application, such as Figure 4 As shown, the flow sensor is installed closest to the gas inlet and outlet of the main equipment to monitor the flow rate of the gas passing through the breather in real time. The flow data collected by the flow sensor is transmitted to the control system for analysis and processing. Based on the flow changes, the control system can determine whether the main equipment, especially the on-load tap changer, is in a "breathing" state. The control system displays the status of the breathing status indicator on the control box panel, making the equipment operation status visible and facilitating the judgment and intervention of maintenance personnel.

[0031] In this embodiment, the intelligent monitoring and analysis platform also performs historical accumulation and model learning on the collected flow data. After the data accumulates to a certain level, the platform can automatically identify the gas flow range of the main equipment under normal operating conditions and form a standard threshold range based on the identification result. Subsequently, when the real-time data monitored by the flow sensor exceeds the preset threshold, the system will immediately trigger an early warning. It is worth noting that this abnormal flow change usually begins to appear in the early stages of a fault within the main equipment. Therefore, this early warning mechanism often responds earlier than conventional protection devices such as gas relays and pressure relief valves built into the main equipment, which can significantly improve the early detection capability of equipment faults, remind maintenance personnel to troubleshoot and handle them in a timely manner, and effectively prevent the accident from escalating.

[0032] In the embodiments of this application, such as Figure 5 As shown, a pressure sensor is positioned above the silicone chamber to simultaneously sense gas pressure changes from both the on-load tap changer side and the silicone chamber side inside the respirator. By comparing the pressure data from the two locations, the control system can determine if there are blockages, abnormal pressure differences, or poor airflow at the respirator's inlet and outlet. For example, if a short-term pressure increase occurs inside the on-load tap changer due to a fault, or if the inlet of the respirator's silicone chamber becomes blocked due to condensation, the pressure sensor can immediately detect the pressure anomaly and upload the data to the monitoring and analysis platform for further analysis, thereby enabling accurate identification and response to potential system malfunctions.

[0033] In summary, by setting up flow and pressure sensors in this embodiment, not only are the data perception dimensions and status recognition accuracy of the respirator system improved, but an early warning mechanism based on dynamic parameter changes is also constructed, providing a solid technical guarantee for the long-term stable operation of the equipment.

[0034] In the embodiments of this application, such as Figure 6 As shown, the control box also contains a respirator panel, which is equipped with various status indicator lights to intuitively display the current operating status of the respirator system and improve the efficiency of maintenance personnel in visually judging the equipment status.

[0035] Specifically, in this embodiment of the application, the respirator panel is provided with the following indicator lights in sequence: The power indicator light (yellow) indicates whether the system has been powered on normally; The operation indicator light (green) shows that the respirator is in normal operating condition. The alarm indicator light (red) illuminates when the system detects a fault or abnormality, serving as a reminder for staff to intervene and handle the situation promptly. The breathing status indicator light (white) is used to reflect in real time whether the main device is in "breathing" state. In this embodiment, the aforementioned indicator lights are activated by the control system based on the detection data from various sensors and the system's operating logic. For example, when the flow sensor detects exhalation behavior in the device, the white breathing status indicator light illuminates; when the system temperature, humidity, or pressure data abnormally exceeds a set threshold, the red alarm indicator light illuminates, indicating a potential fault risk; when the device is powered normally and operating without abnormalities, the yellow power light and the green operation light remain constantly on.

[0036] By configuring different colored status indicator lights on the control box panel, maintenance personnel can quickly understand the real-time operating status of the respirator without disassembling the equipment or connecting to a host computer, greatly improving the efficiency of on-site inspections and emergency response, and effectively reducing the risk of human error. In particular, the introduction of the breathing status indicator light replaces the traditional oil cup observation window structure, avoiding the problem of inhaling oil vapor and contaminating the silica gel during inhalation, while also realizing intelligent identification and modernization of the equipment's operating status.

[0037] In this embodiment of the application, the intelligent monitoring and analysis platform is a comprehensive status analysis system built on the basis of data acquisition, processing and intelligent algorithms, used to realize all-round monitoring, analysis and early warning of the operating status of the main transformer and the on-load tap changer breather.

[0038] In this embodiment, the intelligent monitoring and analysis platform is specifically used to establish a database of operating parameters based on the capacity of transformers of various specifications. Through system optimization algorithms, it compares, mines, and learns the breathing characteristics and gas flow properties under different operating conditions, thereby calculating the optimal state reference values ​​applicable to different main transformers and on-load tap changers. By comparing and analyzing the data with real-time collected data, the system accurately determines the current operating status of the equipment, providing a basis for fault identification and operation management.

[0039] In this embodiment, the intelligent monitoring and analysis platform can also provide early warning when fault signs appear inside the main equipment. When a short circuit, arcing, or other fault causes the insulating oil inside the on-load tap changer to decompose due to heat and generate a large amount of gas, resulting in a sudden increase in pressure inside the oil chamber, the gas flow rate in the breather will change drastically. The flow sensor and pressure sensor can detect this abnormal fluctuation in real time and upload the data to the intelligent monitoring and analysis platform for analysis and judgment. The platform outputs a fault alarm signal based on the degree of abnormality and combines it with existing historical data to determine the severity of the fault, assisting maintenance personnel in quickly locating and handling potential hazards.

[0040] In this embodiment, the intelligent monitoring and analysis platform can further identify changes in oil pressure and flow caused by differences in transition resistance during the switching of different gears. By finely extracting the minute fluctuation characteristics of pressure and flow data, it uses AI algorithms to determine whether there are unstable factors or safety hazards inside the oil chamber. This capability improves the sensitivity and accuracy of identifying abnormal equipment conditions.

[0041] Furthermore, in this embodiment, the intelligent monitoring and analysis platform also has long-term statistical analysis and trend judgment capabilities. It can automatically assess the overall operating status of on-load tap changers based on historical operating data. By tracking the trends of key operating indicators, it can determine whether the equipment has early signs such as aging, frequent switching, or abnormal temperature rise, further enhancing the means of assessing the operational safety of the equipment throughout its entire life cycle.

[0042] In this embodiment, the intelligent monitoring and analysis platform can also automatically adjust and optimize the alarm threshold for gas flow based on long-term equipment operation records. When the platform detects that the real-time flow value fed back by the flow sensor exceeds the dynamically adjusted safety range, it can automatically trigger the alarm mechanism, achieving early warning before the gas relay or pressure relief device operates, effectively controlling the impact range caused by internal faults, and improving the system's operational safety level.

[0043] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this application can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this application can be achieved, and this is not limited herein.

[0044] The specific embodiments described above do not constitute a limitation on the scope of protection of this application. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A respirator system with intelligent monitoring and analysis functions, characterized in that, Includes a control box, the main unit, and an intelligent monitoring and analysis platform, among which: The body contains a silica gel chamber, which is used to absorb moisture from the air. The main body is equipped with heating elements and various sensors. Among them, the temperature and humidity sensor is located at the upper end of the silicone chamber to detect the temperature and humidity inside the silicone chamber in real time; the heating elements are evenly distributed inside the silicone chamber to heat the silicone to remove the adsorbed moisture; the flow sensor is located near the gas inlet and outlet of the respirator system to monitor the outgoing gas flow rate; and the pressure sensor is located above the silicone chamber to sense the gas pressure on the main equipment side and the silicone chamber side. The control box contains a control system that connects the aforementioned sensors and heating elements to determine whether the equipment is currently in the intake or exhaust phase. When the humidity exceeds a set threshold, the heating elements are activated for drying. When the temperature is below a set lower limit, the electric auxiliary heating function is activated to prevent icing. During the exhaust phase, the heating is activated to prevent moisture from entering the equipment during the intake phase. The intelligent monitoring and analysis platform is used to receive the respirator operation status data uploaded by the control system and send it to the monitoring host to monitor the respirator status of the main transformer and on-load tap changer, while also performing remote data acquisition, communication, and fault alarm.

2. The respirator system according to claim 1, characterized in that, The control box is also equipped with a respirator panel, which has a power indicator, a running indicator, an alarm indicator, and a breathing status indicator to display the equipment status. When the respirator is in different operating states, the corresponding indicator lights on the panel will light up.

3. The respirator system according to claim 2, characterized in that, The intelligent monitoring and analysis platform is specifically used for: Establish a parameter database based on the capacity of transformers of various specifications. Through system optimization algorithms, calculate the optimal state reference values ​​of the main transformer and on-load tap changer, and compare and analyze the real-time data to obtain the current real-time status of the equipment. If the equipment malfunctions, the intelligent monitoring and analysis platform will issue an early warning signal before the main equipment protection device to remind staff to perform maintenance or troubleshooting.

4. The respirator system according to claim 3, characterized in that, The intelligent monitoring and analysis platform is further used for: When a short circuit or arcing fault occurs inside the on-load tap changer, causing the insulating oil in the oil chamber to decompose due to heat and generate gas, and the internal pressure of the oil chamber to increase sharply, the abnormal airflow change data sensed by the flow sensor and pressure sensor are collected and analyzed, a fault alarm signal is output, and the severity of the internal fault is assessed in combination with historical data.

5. The respirator system according to claim 3, characterized in that, The intelligent monitoring and analysis platform is further used for: During the on-load tap changer switching process, the oil pressure and oil flow fluctuation characteristics caused by different transition resistances are analyzed. Based on the data collected by flow and pressure sensors, AI algorithms are used to determine whether there are potential safety hazards inside the oil chamber.

6. The respirator system according to claim 3, characterized in that, The intelligent monitoring and analysis platform also has statistical analysis functions, used for: Based on accumulated data over the years, the operating status of on-load tap changers is automatically assessed and trends are predicted to help determine whether there are potential faults or aging risks in the equipment.

7. The respirator system according to claim 3, characterized in that, The intelligent monitoring and analysis platform is used for: The system automatically optimizes the flow alarm threshold setting based on the historical operating records of the on-load tap changer, and immediately issues an early warning signal when the flow sensor detects that the real-time value exceeds the threshold, thus achieving early warning before the gas relay or pressure relief device operates and reducing the scope of the fault impact.

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