Electric energy meter with abnormal state on-line analysis function

Abstract

The invention discloses an electric energy meter with an abnormal state online analysis function, and belongs to the technical field of electric energy meters. The control module is arranged in the electric energy meter body; and a plurality of mounting cavities are arranged. According to the electric energy meter with the abnormal state on-line analysis function, through the use of the detection mechanism, the modular design capable of being independently disassembled and assembled is adopted, the telescoping of the positioning block is controlled by rotating the supporting disc, the rapid locking or releasing of the detection sensor in the mounting cavity is realized, a professional tool or complex operation is not needed, the difficulty and time of field maintenance are obviously reduced, and the working efficiency is improved. The operation and maintenance efficiency is improved, flexible configuration of sensor types is supported, different monitoring requirements are met, a heat dissipation system is automatically triggered through cooperative use of the ejection mechanism and the flow control mechanism, when the detection sensor is installed in place and the butt joint is connected with the butt joint seat, the flow control motor starts fan blades to perform forced air cooling, and the working temperature of the sensor is effectively reduced.

Description

Technical Field

[0001] This invention relates to the field of electricity meter technology, specifically to an electricity meter with online analysis capabilities for abnormal conditions. Background Technology

[0002] With the continuous development of smart grid construction and refined energy management, electricity meters have evolved from traditional single metering devices into key nodes integrating metering, sensing, communication and control. In order to ensure the safe operation of the power grid and improve the efficiency of operation and maintenance, modern smart electricity meters generally integrate status monitoring functions. Through various built-in or external sensors, they collect multi-dimensional status data of the operating environment and the meter itself in real time, and use online analysis systems to identify and warn of potential abnormal states.

[0003] However, current electricity meters with abnormal state analysis capabilities still face many challenges in hardware deployment and system architecture: 1. At the hardware level: First, monitoring sensors are usually fixedly integrated or simply external. Fixed integration means that the sensors cannot be replaced or upgraded, resulting in poor flexibility. Once damaged, the entire sensor needs to be repaired, which is costly. Simple external sensors have problems such as low connection reliability, poor protection, and unsightly installation. Second, the sensors work in a sealed housing for a long time, especially near the power module. The accumulated heat can cause the performance to degrade or even fail, affecting the continuity and accuracy of monitoring. Third, the lack of convenient sensor plugging and locking mechanisms makes it inconvenient for on-site maintenance personnel to inspect, calibrate, or replace sensors, increasing the difficulty and time cost of maintenance. 2. At the software and system level: First, existing analysis systems have limited data processing capabilities and lack effective fusion and collaborative analysis of real-time data from multi-source heterogeneous sensors, making it difficult to form a comprehensive judgment on abnormal states. Second, the analysis models are relatively simple or rigid, and their accuracy and ability to identify and locate complex and hidden abnormal patterns are insufficient. Third, the various functional modules of the system are tightly coupled or poorly coordinated, resulting in inflexible resource scheduling, delayed decision response, and difficulty in achieving closed-loop management from anomaly perception to intelligent decision-making. Summary of the Invention

[0004] The purpose of this invention is to: utilize a modular design for independent disassembly and assembly of the detection mechanism; control the extension and retraction of the positioning block via a rotating support plate to achieve rapid locking or release of the detection sensor within the installation cavity, eliminating the need for specialized tools or complex operations, significantly reducing the difficulty and time of on-site maintenance, and improving operational efficiency; simultaneously supporting flexible configuration of sensor types to adapt to different monitoring needs; and through the coordinated use of the ejection mechanism and the flow control mechanism, automatically triggering the cooling system. When the detection sensor is installed in place and the connector is connected to the mating seat, the flow control motor starts the fan blades for forced air cooling, effectively reducing the sensor's operating temperature. When the detection sensor is removed, the connection is automatically disconnected, and cooling stops, ensuring long-term stable operation of the detection sensor in high-temperature environments while avoiding unnecessary energy consumption. The system features intelligent energy-saving control with on-demand start / stop for heat dissipation. Through a data acquisition module, it collects real-time data on voltage, current, power, and temperature. The data analysis module then uses multi-modal data fusion and anomaly analysis algorithms for in-depth analysis, enabling the system to quickly and accurately identify abnormal patterns and determine their status. This significantly improves the real-time monitoring and location accuracy of abnormal states in the electricity meter. The early warning module transforms the analysis results into tiered early warning information, which is promptly pushed to users for rapid response. Simultaneously, the central processing module integrates real-time analysis results, historical data, and early warning feedback for overall judgment and decision-making, dynamically scheduling resources across modules to form a closed-loop management system. This effectively enhances the reliability and intelligent operation and maintenance level of the electricity meter system.

[0005] To solve the above-mentioned technical problems, the present invention is achieved through the following technical solution: This invention provides an energy meter with online analysis capabilities for abnormal states.

[0006] In a first aspect, the present invention provides a technical solution: an energy meter with online analysis capabilities for abnormal states, comprising: The electricity meter body; The control module is installed inside the electricity meter body; The meter body has multiple mounting cavities, all of which are equidistantly located on one side of the bottom of the meter body. The detection mechanism is provided in multiple groups, each group of which is located in each mounting cavity. Each group of detection mechanisms includes a positioning component and a detection sensor. The positioning component is located at the top of the mounting cavity, and the detection sensor is mounted on the positioning component. The ejection mechanism is provided in multiple sets, each set of the ejection mechanism is located in each mounting cavity, and each set of the ejection mechanism is connected to each detection sensor. Each set of the ejection mechanism includes an ejection component and a movable orifice plate. The ejection component is located in the mounting cavity, and the movable orifice plate is located on the ejection component. The flow control mechanism is provided in multiple sets, with each set of the flow control mechanism located in each mounting cavity. Each set of the flow control mechanism includes a triggering component, a flow control motor, a flow control fan blade, and a flow port. The flow control motor is fixedly connected to the top of the mounting cavity, the flow control fan blade is fixedly connected to the output end of the flow control motor, and the flow port is opened on one side of the outer surface of the energy meter body. The triggering component is located on the flow control motor and is connected to the moving orifice plate.

[0007] The positioning component includes a control assembly, positioning blocks, and positioning slots. The mounting base is installed on the bottom of the detection sensor. There are two positioning slots, which are respectively opened on both sides of the bottom of the mounting cavity. There are two positioning blocks, which are slidably connected to the mounting base, and each positioning block is movably inserted into each positioning slot. There are two sets of control assemblies, which are both located in the mounting base and are connected to the two positioning blocks.

[0008] Each control assembly includes a limiting sleeve, a top spring, a limiting rod, and a support plate. There are two limiting sleeves, each of which is fixedly connected to one side of each positioning block that is close to each other. The two ends of the limiting rod are movably inserted into the two limiting sleeves respectively. The top spring is sleeved on the two limiting sleeves, and the two ends of the top spring are fixedly connected to the two positioning blocks respectively. The support plate is rotatably connected to the mounting base.

[0009] The ejector component includes ejector springs and guide rods. Multiple guide rods are provided and are fixedly connected to the four corners of the mounting cavity. Multiple ejector springs are provided, each ejector spring is sleeved on each guide rod, and multiple ejector springs are fixedly connected to the top of the mounting cavity. The movable orifice plate is movably connected to the multiple guide rods and is connected to the multiple ejector springs.

[0010] The triggering component includes a connector and a docking seat. The connector is fixedly connected to the flow control motor, the docking seat is fixedly connected to the movable perforated plate, and the connector is movably inserted into the docking seat.

[0011] Secondly, according to the first aspect above, the present invention also provides a technical solution: an energy meter system with online analysis of abnormal states includes: Central processing module: Used to schedule resources across the entire module, process complex task logic, and make final decisions; Data acquisition module: used to collect raw status data of the electricity meter in real time; Data analysis module: used to perform in-depth data mining, accurately identify and locate various abnormal states; Data Management Module: Used for the full lifecycle management of massive monitoring data; Early warning module: Used to transform analysis results into tiered early warning information and deliver it to users in a timely manner to support decision-making.

[0012] Furthermore, the data analysis module includes a sensor module, a real-time monitoring module, and an acquisition module, all of which are bidirectionally connected.

[0013] Furthermore, the data analysis module includes a data processing module, an anomaly analysis module, a state determination module, and a multimodal data fusion module, and all of the data processing module, anomaly analysis module, state determination module, and multimodal data fusion module are bidirectionally connected.

[0014] Furthermore, the output signal of the data acquisition module is connected to the input of the data analysis module, the bidirectional output signal of the data analysis module is connected to the input of the data management module, the bidirectional output signal of the data analysis module is connected to the input of the early warning module, and the bidirectional output signal of the data analysis module is connected to the input of the central processing module.

[0015] Furthermore, the bidirectional signal output of the central processing module is connected to the input of the data management module, and the bidirectional signal output of the central processing module is connected to the input of the early warning module.

[0016] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: (1) In this invention, the detection mechanism is used and a modular design that can be independently disassembled is adopted. The extension and retraction of the positioning block is controlled by the rotating support plate, so as to realize the rapid locking or release of the detection sensor in the installation cavity. No professional tools or complex operations are required, which significantly reduces the difficulty and time of on-site maintenance and improves the operation and maintenance efficiency. At the same time, it supports flexible configuration of sensor types to adapt to different monitoring needs.

[0017] (2) In this invention, the heat dissipation system is automatically triggered by the combined use of the ejection mechanism and the flow control mechanism. When the detection sensor is installed in place and the connector is connected to the docking seat, the flow control motor starts the fan blades to perform forced air cooling, which effectively reduces the working temperature of the sensor. When the detection sensor is removed, the connection is automatically disconnected and the heat dissipation stops, ensuring that the detection sensor can operate stably in a high-temperature environment for a long time, while avoiding unnecessary energy consumption, and realizing intelligent energy-saving control of heat dissipation starting and stopping on demand.

[0018] (3) In this invention, the data acquisition module is used to realize the real-time acquisition of multi-dimensional data such as voltage, current, power and temperature. Then, through the multi-modal data fusion and anomaly analysis algorithm in the data analysis module, the system can quickly and accurately identify abnormal patterns and make status judgments, thereby significantly improving the real-time monitoring capability and positioning accuracy of abnormal states of electricity meters.

[0019] (4) In this invention, the analysis results are transformed into hierarchical early warning information by using the early warning module and pushed to the user in a timely manner to help them respond quickly. At the same time, the central processing module can comprehensively analyze the real-time results, historical data and early warning feedback to make global judgments and decisions, and dynamically schedule the resources of each module to form closed-loop management, which effectively improves the reliability of the operation of the electricity meter system and the level of intelligent operation and maintenance. Attached Figure Description

[0020] Figure 1 This is an exploded cross-sectional view of the present invention; Figure 2 This is a partial exploded view of the present invention; Figure 3 This is a first-view perspective perspective view of the present invention; Figure 4 This is a second-view perspective perspective view of the present invention; Figure 5 This is an exploded cross-sectional view of the testing mechanism of the present invention; Figure 6 This is an exploded view of the testing mechanism of the present invention; Figure 7 This is the overall system diagram of the present invention; Figure 8 This is a schematic diagram of the data acquisition module of the present invention; Figure 9 This is a schematic diagram of the data analysis module of the present invention.

[0021] In the diagram: 1. Electricity meter body; 2. Control module; 3. Flow port; 4. Flow control motor; 5. Flow control fan blade; 6. Connector; 7. Connecting seat; 8. Moving perforated plate; 9. Mounting cavity; 10. Detection sensor; 11. Mounting seat; 12. Limit sleeve; 13. Positioning block; 14. Top position spring; 15. Limiting rod; 16. Support plate; 17. Positioning groove; 18. Guide rod; 19. Ejection spring; 20. Central processing module; 21. Data acquisition module; 22. Data analysis module; 23. Data management module; 24. Early warning module. Detailed Implementation

[0022] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0023] Please see Figure 1-9 As shown, the present invention is an energy meter with online analysis capabilities for abnormal states.

[0024] Firstly, please refer to Figure 1-6 As shown, the present invention provides an embodiment of an energy meter with online analysis of abnormal states, comprising: Electricity meter body 1; Control module 2 is installed inside the electricity meter body 1; The mounting cavity 9 is provided in multiple ways, and the multiple mounting cavities 9 are equidistantly opened on one side of the bottom of the energy meter body 1. The testing mechanism is provided in multiple groups, each group of testing mechanisms is located in each mounting cavity 9, and each group of testing mechanisms includes a positioning component and a detection sensor 10. The positioning component is located on the top of the mounting cavity 9, and the detection sensor 10 is installed on the positioning component. The ejection mechanism is provided in multiple sets. Each set of ejection mechanisms is located in each mounting cavity 9 and is connected to each detection sensor 10. Each set of ejection mechanisms includes an ejection component and a movable orifice plate 8. The ejection component is located in the mounting cavity 9 and the movable orifice plate 8 is located on the ejection component. The flow control mechanism is provided in multiple sets, each set of which is located in each mounting cavity 9. Each set of flow control mechanism includes a triggering component, a flow control motor 4, a flow control fan blade 5, and a flow port 3. The flow control motor 4 is fixedly connected to the top of the mounting cavity 9, the flow control fan blade 5 is fixedly connected to the output end of the flow control motor 4, the flow port 3 is opened on one side of the outer surface of the energy meter body 1, the triggering component is located on the flow control motor 4, and the triggering component is connected to the moving orifice plate 8.

[0025] In this implementation scheme: the electricity meter body 1 is existing technology and will not be described in detail here. The control module 2 is equipped with an online abnormal state analysis system to control the overall use. The detection sensor 10 is equipped with various types, including temperature sensor, vibration sensor, magnetic field sensor and arc sensor, to detect different conditions during the use of the electricity meter. The moving orifice plate 8 controls the position of the detection sensor 10 in the mounting cavity 9 to realize the removal of the detection sensor 10. The model of the current control motor 4 can be selected from those available on the market as needed, and will not be described in detail here. The current control motor 4 causes the current control fan blade 5 to rotate, so that the temperature in the mounting cavity 9 is discharged through the flow port 3, realizing the long-term use of the detection sensor 10.

[0026] Specifically, the positioning component includes a positioning control assembly, positioning blocks 13, and positioning slots 17. The mounting base 11 is installed on the bottom of the detection sensor 10. There are two positioning slots 17, which are respectively opened on both sides of the bottom of the mounting cavity 9. There are two positioning blocks 13, which are slidably connected to the mounting base 11, and each positioning block 13 is movably inserted into each positioning slot 17. There are two sets of positioning control assemblies, which are both located in the mounting base 11 and are connected to the two positioning blocks 13.

[0027] In this embodiment, the positioning block 13 extends and retracts within the positioning groove 17 to complete the positioning of the detection sensor 10 within the mounting cavity 9, ensuring the effectiveness of use.

[0028] Specifically, each control assembly includes a limiting sleeve 12, a top spring 14, a limiting rod 15, and a support plate 16. There are two limiting sleeves 12, each of which is fixedly connected to one side of each positioning block 13 that is close to each other. The two ends of the limiting rod 15 are respectively movably inserted into the two limiting sleeves 12. The top spring 14 is sleeved on the two limiting sleeves 12, and the two ends of the top spring 14 are respectively fixedly connected to the two positioning blocks 13. The support plate 16 is rotatably connected to the mounting base 11.

[0029] In this embodiment: the support plate 16 rotates to control the distance between the two positioning blocks 13, completing the overall installation. The top spring 14 is used to retract to bring the two positioning blocks 13 closer to each other, completing the use. During the retraction process, the limiting sleeve 12 and the limiting rod 15 cooperate with each other to ensure the state of the top spring 14 during use and prevent bending.

[0030] Specifically, the ejector component includes ejector springs 19 and guide rods 18. Multiple guide rods 18 are provided, and the multiple guide rods 18 are fixedly connected to the four corners inside the mounting cavity 9. Multiple ejector springs 19 are provided, and each ejector spring 19 is sleeved on each guide rod 18. The multiple ejector springs 19 are fixedly connected to the top inside the mounting cavity 9. The movable orifice plate 8 is movably connected to the multiple guide rods 18, and the movable orifice plate 8 is connected to the multiple ejector springs 19.

[0031] In this embodiment: the ejector spring 19 extends and retracts on the guide rod 18 to control the position of the moving orifice plate 8 in the mounting cavity 9, thereby controlling the position of the detection sensor 10 and completing its use.

[0032] Specifically, the triggering components include a connector 6 and a docking seat 7. The connector 6 is fixedly connected to the flow control motor 4, and the docking seat 7 is fixedly connected to the movable orifice plate 8. The connector 6 is movably inserted into the docking seat 7.

[0033] In this embodiment: the connector 6 and the docking seat 7 cooperate with each other to trigger the flow control motor 4, and cooperate with the moving orifice plate 8 to achieve flexible use.

[0034] In use, the electricity meter body 1 is installed at the designated power distribution location, and power is supplied and communication lines are connected. The control module 2 is powered on, and the built-in abnormal state online analysis system is started to complete self-test and initialization. According to the monitoring requirements, the corresponding detection sensor 10 is installed into the designated mounting cavity 9. During installation, the detection sensor 10 is inserted into the mounting cavity 9, and the moving orifice plate 8 is pressed. The mounting seat 11 enters the bottom of the mounting cavity 9. The support plate 16 inside the mounting seat 11 is rotated, which drives the two positioning blocks 13 to move outward against the elastic force of the top spring 14 until they are locked into the positioning groove 17 at the bottom of the mounting cavity 9, thus fixing the detection sensor 10. The moving orifice plate 8 is lifted by force, causing the connector 6 to enter the docking seat 7, triggering the flow control motor 4 to be used. The flow control motor 4 drives the flow control fan blade 5 to rotate, forcibly expelling the hot air in the mounting cavity 9 through the flow port 3, thereby achieving active cooling of the detection sensor 10 and the area thereon. To ensure the continuous and reliable operation of the sensors, the detection sensors 10 in each mounting cavity 9 continuously work, collecting data on the operating environment and the status of the electricity meter. The collected data is transmitted to the control module 2 in real time. The abnormal status online analysis system in the control module 2 analyzes and calculates the received data in real time to determine whether the electricity meter is operating normally. When it is necessary to check, calibrate, or replace a detection sensor 10, the support plate 16 is rotated in the reverse direction. Under the contraction force of the top spring 14, the two positioning blocks 13 move towards the middle, releasing the lock with the mounting cavity 9. The push spring 19 rebounds, pushing the moving hole plate 8 to move along the guide rod 18 to the outside of the mounting cavity 9, so that the detection sensor 10 is pushed out of the mounting cavity 9 for easy grabbing and removal by the operator. When the moving hole plate 8 moves outward, the docking seat 7 fixed on it separates from the docking connector 6 fixed on the flow control motor 4, so that the flow control motor 4 is physically disconnected, and the use is completed.

[0035] Secondly, please refer to Figure 7-9 As shown, according to the above-described first aspect of the embodiment, the present invention also provides an embodiment in which an energy meter system with online analysis of abnormal states includes: Central Processing Module 20: Used to schedule resources across the entire module, process complex task logic, and make final decisions; Data acquisition module 21: Used to collect raw status data of the electricity meter in real time; Data Analysis Module 22: Used for in-depth data mining to accurately identify and locate various abnormal states; Data Management Module 23: Used for the full lifecycle management of massive monitoring data; Early warning module 24: Used to transform the analysis results into hierarchical early warning information and deliver it to users in a timely manner to support decision-making.

[0036] Specifically, the data analysis module 21 includes a sensor module, a real-time monitoring module, and an acquisition module, all of which are bidirectionally connected.

[0037] Specifically, the data analysis module 22 includes a data processing module, an anomaly analysis module, a state determination module, and a multimodal data fusion module. All of these modules are bidirectionally connected.

[0038] Specifically, the output signal of the data acquisition module 21 is connected to the input of the data analysis module 22, the bidirectional output signal of the data analysis module 22 is connected to the input of the data management module 23, the bidirectional output signal of the data analysis module 22 is connected to the input of the early warning module 24, and the bidirectional output signal of the data analysis module 22 is connected to the input of the central processing module 20.

[0039] Specifically, the bidirectional signal output of the central processing module 20 is connected to the input of the data management module 23, and the bidirectional signal output of the central processing module 20 is connected to the input of the early warning module 24.

[0040] In operation, the central processing module 20 starts first, loading system configuration and task strategies, and sending initialization commands to the data acquisition module 21, data analysis module 22, data management module 23, and early warning module 24. Each module completes self-checks and reports its status, and the system enters a ready state, triggering the data acquisition module 21 to start working. The sensor module, real-time monitoring module, and acquisition module inside the data acquisition module 21 work together to collect raw status data such as voltage, current, power, temperature, and vibration from the energy meter and its auxiliary sensors. The collected raw data is sent to the input terminal of the data analysis module 22 in real time. The data processing module of the data analysis module 22 first performs preprocessing such as cleaning and formatting on the raw data. The processed data is then sent to the multimodal data fusion module for integration and alignment to form a unified data view. The fused data is then processed by the anomaly analysis module. The algorithm model is used for deep mining to identify potential abnormal patterns. The status determination module makes a final determination on the operating status of the electricity meter based on the analysis results and preset rules. The status determination results and analysis process data are written to the data management module 23 through a two-way signal connection for storage, archiving and lifecycle management. On the other hand, the results are sent to the early warning module 24 in real time. The early warning module generates early warning information according to the status level and reaches the user through preset channels. The determination results output by the data analysis module 22 are also reported to the central processing module 20 at the same time. The central processing module 20 combines the historical data and related information from the data management module 23 and the feedback from the early warning module 24 to conduct a comprehensive judgment and decision at the global level. The decision instructions of the central processing module 20 are sent to the corresponding modules through its two-way signal connection with the data acquisition module 21, data analysis module 22 and so on.

[0041] The control method of this invention is to control the device by manually starting and stopping the switch. The wiring diagram of the power element and the supply of power are common knowledge in the field. Since this invention is mainly used to protect mechanical devices, the control method and wiring layout will not be explained in detail.

[0042] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. An energy meter with online analysis capabilities for abnormal states, characterized in that, include: Electricity meter body (1); Control module (2), which is installed inside the energy meter body (1); The mounting cavity (9) is provided in multiple ways, and the multiple mounting cavities (9) are all equally spaced and opened on one side of the bottom of the energy meter body (1); The detection mechanism is provided in multiple groups, and each group of the detection mechanism is located in each mounting cavity (9). Each group of the detection mechanism includes a positioning component and a detection sensor (10). The positioning component is located at the top of the mounting cavity (9), and the detection sensor (10) is installed on the positioning component. The ejection mechanism is provided in multiple groups. Each group of ejection mechanisms is located in each mounting cavity (9), and each group of ejection mechanisms is connected to each detection sensor (10). Each group of ejection mechanisms includes an ejection component and a movable orifice plate (8). The ejection component is located in the mounting cavity (9), and the movable orifice plate (8) is located on the ejection component. The flow control mechanism is provided in multiple groups. Each group of the flow control mechanism is located in each mounting cavity (9). Each group of the flow control mechanism includes a triggering component, a flow control motor (4), a flow control fan blade (5), and a flow port (3). The flow control motor (4) is fixedly connected to the top of the mounting cavity (9). The flow control fan blade (5) is fixedly connected to the output end of the flow control motor (4). The flow port (3) is opened on one side of the outer surface of the energy meter body (1). The triggering component is located on the flow control motor (4) and is connected to the moving orifice plate (8).

2. The energy meter with online analysis capability for abnormal states as described in claim 1, characterized in that: The positioning component includes a control assembly, a positioning block (13), and a positioning groove (17). The mounting base (11) is installed at the bottom of the detection sensor (10). There are two positioning grooves (17), which are respectively opened on both sides of the bottom of the mounting cavity (9). There are two positioning blocks (13), which are slidably connected to the mounting base (11) and each positioning block (13) is movably inserted into each positioning groove (17). There are two sets of control assemblies, which are both located in the mounting base (11) and are connected to the two positioning blocks (13).

3. The energy meter with online analysis capability for abnormal states as described in claim 1, characterized in that: Each control assembly includes a limiting sleeve (12), a top spring (14), a limiting rod (15), and a support plate (16). There are two limiting sleeves (12), each of which is fixedly connected to one side of each positioning block (13) that is close to each other. The two ends of the limiting rod (15) are respectively movably inserted into the two limiting sleeves (12). The top spring (14) is sleeved on the two limiting sleeves (12), and the two ends of the top spring (14) are respectively fixedly connected to the two positioning blocks (13). The support plate (16) is rotatably connected to the mounting base (11).

4. The energy meter with online analysis of abnormal states as described in claim 1, characterized in that: The ejection component includes ejection springs (19) and guide rods (18). Multiple guide rods (18) are provided, and multiple guide rods (18) are fixedly connected to the four corners of the mounting cavity (9). Multiple ejection springs (19) are provided, and each ejection spring (19) is sleeved on each guide rod (18). Multiple ejection springs (19) are fixedly connected to the top of the mounting cavity (9). The movable orifice plate (8) is movably connected to multiple guide rods (18), and the movable orifice plate (8) is connected to multiple ejection springs (19).

5. An energy meter with online analysis capability for abnormal states as described in claim 1, characterized in that: The triggering component includes a connector (6) and a docking seat (7). The connector (6) is fixedly connected to the flow control motor (4), and the docking seat (7) is fixedly connected to the movable orifice plate (8). The connector (6) is movably inserted into the docking seat (7).

6. An energy meter system with online analysis of abnormal states, applied to an energy meter with online analysis of abnormal states as described in any one of claims 1-5, characterized in that, include: Central processing module (20): Used to schedule all module resources, process complex task logic and make final decisions; Data acquisition module (21): used to acquire the raw status data of the electricity meter in real time; Data analysis module (22): used to perform in-depth data mining, accurately identify and locate various abnormal states; Data Management Module (23): Used for the full lifecycle management of massive monitoring data; Early warning module (24): Used to transform the analysis results into hierarchical early warning information and deliver it to users in a timely manner to support decision-making.

7. An energy meter with online analysis of abnormal states according to claim 6, characterized in that: The data analysis module (21) includes a sensor module, a real-time monitoring module, and an acquisition module, and the sensor module, the real-time monitoring module, and the acquisition module are all bidirectionally connected.

8. An energy meter with online analysis of abnormal states according to claim 6, characterized in that: The data analysis module (22) includes a data processing module, an anomaly analysis module, a state determination module, and a multimodal data fusion module. The data processing module, anomaly analysis module, state determination module, and multimodal data fusion module are all bidirectionally connected.

9. An energy meter with online analysis of abnormal states according to claim 6, characterized in that: The output signal of the data acquisition module (21) is connected to the input of the data analysis module (22). The bidirectional output signal of the data analysis module (22) is connected to the input of the data management module (23). The bidirectional output signal of the data analysis module (22) is connected to the input of the early warning module (24). The bidirectional output signal of the data analysis module (22) is connected to the input of the central processing module (20).

10. An energy meter with online analysis of abnormal states according to claim 6, characterized in that: The bidirectional signal output of the central processing module (20) is connected to the input of the data management module (23), and the bidirectional signal output of the central processing module (20) is connected to the input of the early warning module (24).

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