Modular intelligent electric energy metering box

Abstract

The application relates to the technical field of electrical equipment, and discloses a modular intelligent electric energy metering box which comprises a box body, a back plate, a controller, an instrument and a guiding assembly. Clamping blocks arranged on the outer side of the box body are clamped with clamping grooves arranged in a sleeve shell on the back plate, and are locked through double-end bolts, so that a stable suspension mounting structure is constructed; the instrument performs high-frequency sampling on a power distribution circuit; the controller receives a digital sequence and performs load characteristic vector comparison and arc fault logical judgment by using a built-in algorithm model, so that active monitoring and defense of power consumption abnormity are realized; a flow guide plate in the guiding assembly is slidingly connected in a sliding rail; the controller drives a fan to adjust the rotating speed according to a temperature deviation, and synchronously controls the flow guide plate to generate displacement to change the sectional area of an air guide channel. The application realizes convenient installation of the metering box, accurate identification of high-frequency electric parameters and electromechanical collaborative dynamic heat dissipation control of internal heating areas.

Description

Technical Field

[0001] This invention relates to the field of electrical equipment technology, specifically to a modular intelligent power metering box. Background Technology

[0002] Existing electricity metering boxes have several structural and functional limitations in actual deployment and operation. In terms of physical structure, traditional metering boxes mostly use direct drilling and bolt fixing, which makes it difficult to quickly align and position them when installed on complex outdoor surfaces. Furthermore, under long-term conditions of bearing the weight of the equipment and low-frequency vibrations in the environment, the load-bearing points are prone to fatigue and loosening. The lack of modular and guide mounting structures makes on-site assembly and subsequent replacement of the entire unit cumbersome.

[0003] In terms of operation monitoring, traditional metering devices can usually only provide steady-state low-frequency macro-electricity data. Their internal hardware architecture lacks the ability to collect and compute high-frequency signals at the edge, making it impossible to perform non-intrusive analysis of transient high-frequency characteristics and load fingerprints in the power distribution circuit. Furthermore, they cannot accurately extract and logically determine weak series arc faults at the physical end, making the power distribution system rely solely on passive overload or short-circuit protection at the back end, and unable to achieve proactive fault defense.

[0004] Furthermore, with the introduction of high-frequency sampling modules and edge computing chips, the local heat density of core components inside the enclosure increases. Existing heat dissipation mechanisms typically employ passive natural convection or fixed-speed air-cooling channels with a fixed internal cross-sectional area. These mechanisms cannot physically intervene in the spatial flow of cooling air or target the flow based on the dynamic changes in the internal temperature gradient. This results in the dispersion and loss of cold air entering the enclosure, making it difficult to effectively suppress drastic temperature changes in high-heat areas. Consequently, this limits the operational stability and electrical insulation safety of metering equipment and logic control units under complex operating conditions. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a modular intelligent electricity metering box, which solves the problems of inconvenient on-site installation and maintenance, lack of proactive monitoring and early warning capabilities for high-frequency characteristics of end loads, and low cooling efficiency of local high-heat areas caused by fixed internal flow channels.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a modular intelligent electricity metering box, comprising a box body, a door panel rotatably connected to the outside of the box body, a heat dissipation mechanism provided on the outside of the box body, a guide component provided inside the box body, an instrument provided inside the box body, a controller provided on the outside of the door panel, and the instrument and the controller being electrically connected. The heat dissipation mechanism includes a disassembly assembly and a snap-fit ​​assembly. The disassembly assembly includes a filter frame, which is fixedly connected to the outside of the housing. A filter plate is slidably connected inside the filter frame. A groove is provided inside the filter frame, and a slot is provided on the outside of the filter plate. A fan is installed on the outside of the housing, and the fan is electrically connected to the controller.

[0007] Preferably, the buckle assembly includes a pin, which is slidably connected inside the housing and engages with the slot. A spring is fixedly connected to the bottom of the pin, and a hidden groove is provided on the outside of the housing.

[0008] Preferably, the outer side of the box is provided with a locking block, the outer side of the box is provided with a back plate, the back plate is fixedly connected to a shell, the shell is provided with a locking groove, the locking block and the locking groove are engaged with each other, and double-headed bolts are provided through both sides of the shell and the locking block.

[0009] Preferably, the guiding component includes a slide rail, a flow guide plate is slidably connected inside the slide rail, a cross block is fixedly connected to the outside of the flow guide plate, a cross groove is opened in the middle of the slide rail, and the cross block is slidably connected to the inside of the cross groove.

[0010] Preferably, the instrument integrates a high-frequency current and voltage sampling chip, the controller deploys an edge AI inference engine microprocessor, and the high-frequency current and voltage sampling chip is bidirectionally connected to the edge AI inference engine microprocessor via a communication line.

[0011] Preferably, the edge AI inference engine microprocessor is internally configured with a load fingerprinting algorithm model. The load fingerprinting algorithm model receives transient waveform feature data collected by the current and voltage high-frequency sampling chip. The edge AI inference engine microprocessor analyzes and calculates the type of backend operating electrical equipment based on the transient waveform feature data.

[0012] Preferably, the edge AI inference engine microprocessor is internally configured with an arc fault analysis algorithm module. The arc fault analysis algorithm module extracts high-frequency arc noise features in real time and outputs an alarm control signal. The controller receives the alarm control signal, triggers a command to disconnect the external circuit, and sends a fire warning information.

[0013] Preferably, the door panel is rotatably connected to the side of the box body via a hinge, a sealing groove is provided on the front edge of the box body, a sealing gasket is fixedly connected to the inner side of the door panel, and the sealing gasket and the sealing groove are interlocked.

[0014] Preferably, a canopy is fixedly connected to the top of the box, and brackets are fixedly connected to the four corners of the bottom of the box.

[0015] Preferably, the air guide plate slides and adjusts on the slide rail to form an air guide channel, and the controller is configured with a temperature threshold control program. The controller adjusts the fan speed based on internal temperature change data to cooperate with the air guide channel to achieve convection heat dissipation.

[0016] This invention provides a modular intelligent electricity metering box. It has the following advantages: 1. This invention achieves modular and rapid connection between the housing and the mounting base by fixing the casing to the back plate and geometrically nesting it with the locking blocks on the outside of the housing, combined with the rotational locking force of the double-headed bolts. This structure not only significantly improves the efficiency of on-site installation and subsequent maintenance, but also ensures the long-term stability of the equipment under its own weight and external vibration conditions through strong mechanical locking.

[0017] 2. This invention utilizes the controller's built-in edge AI inference engine to perform real-time analysis of high-frequency current and voltage signals collected by the instruments, enabling accurate identification of load fingerprints connected to the backend and monitoring of arc fault characteristics. This feature allows the equipment to transform from traditional passive metering to active monitoring, providing timely warnings and implementing defensive actions when illegal loads or potential electrical fire hazards are detected, thereby improving the intrinsic safety level of the power distribution terminal.

[0018] 3. This invention employs a cooling mechanism that combines a fan with a dynamically adjustable airflow guide plate. A controller, based on real-time temperature rise data, drives a cross-shaped block to slide within a slide rail, altering the flow field distribution. This electromechanical coordinated control method precisely directs the filtered cooling airflow to the core heat-generating area of ​​the instrument, effectively preventing external dust intrusion while achieving efficient directional cooling and ensuring stable operation of electronic components at suitable temperatures. Attached Figure Description

[0019] Figure 1 This is a perspective view of the present invention; Figure 2 A schematic diagram of the backplate structure of the present invention is provided to highlight the invention. Figure 3 A schematic diagram illustrating a partial structure of the instrument of this invention is provided. Figure 4 This is an exploded view of the guiding component of the present invention; Figure 5 To highlight the schematic diagram of the exploded structure of the card block of the present invention; Figure 6 This is a schematic diagram of the heat dissipation mechanism of the present invention.

[0020] The components are as follows: 1. Housing; 2. Door panel; 3. Controller; 4. Top; 5. Bracket; 6. Filter plate; 7. Pin; 8. Concealed groove; 9. Hinge; 10. Fan; 11. Back panel; 12. Drain plate; 13. Instrument; 14. Sealing gasket; 15. Sealing groove; 16. Slide rail; 17. Cross groove; 18. Cross block; 19. Filter frame; 20. Locking block; 21. Housing; 22. Locking groove; 23. Double-ended bolt; 24. Spring; 25. Groove; 26. Slot. Detailed Implementation

[0021] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. The described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] Please see the appendix Figure 1 - Appendix Figure 6 This invention provides a modular intelligent electricity metering box, including a box body 1. The box body 1 utilizes its robust outer shell structure to provide installation support for the internal instruments 13 and isolate them from external environmental interference. The door panel 2 rotates with the box body 1 to achieve rapid switching between closed operation and open maintenance modes. The filter frame 19, fixed to the side of the box body 1, provides a linear sliding trajectory for the filter plate 6 through the groove 25 opened inside, thereby realizing tool-free insertion installation of the filter medium. The filter plate 6 receives physical limiting force through the slot 26 opened on its outer side to ensure the static stability of the filter plate 6 on the side of the box body 1. The fan 10 installed on the outside of the box body 1 receives driving power from the controller 3 and transmits it through the external slot 26. The rotating fan blades generate a pressure difference, which guides the outside cold air through the filter plate 6 into the room to perform heat exchange. The guiding component forces the airflow to change the diffusion direction in the housing 1 through its internal guide surface, thereby concentrating the cooling airflow to the heat-generating part of the instrument 13. While measuring the power consumption data, the instrument 13 feeds back the real-time operating parameters to the controller 3 in the form of electrical signals. The controller 3, as the computing and command hub of the whole machine, processes the current and voltage waveform data fed back by the instrument 13 in real time and performs edge computing analysis on the collected data according to the preset logic. At the same time, the controller 3 monitors the temperature rise inside the metering box in real time and adjusts the operating conditions of the fan 10 accordingly to maintain the overall thermal performance balance of the system.

[0023] Please see the appendix Figure 1 Appendix Figure 3 and attached Figure 6In a preferred embodiment of the present invention, the pin 7 is normally pushed into the slot 26 by means of its axial sliding displacement inside the housing 1 and the continuous elastic restoring force generated by the bottom spring 24 to construct a physical interference locking structure. The clearance space provided by the hidden groove 8 allows the operator to slide the pin 7 downward to overcome the resistance of the spring 24, thereby removing the pin 7 from the slot 26 and releasing the restriction on the lateral displacement of the filter screen. At the same time, the concave design of the hidden groove 8 ensures that the force-bearing end of the pin 7 does not protrude from the outer surface of the housing 1, thereby ensuring the convenience of operation and avoiding the failure or accidental damage of the locking mechanism due to external collisions.

[0024] Please see the appendix Figure 1 Appendix Figure 2 and attached Figure 5 In a preferred embodiment of the present invention, the back plate 11 is pre-built with a modular installation reference through the housing 21 fixedly connected to its surface. The locking block 20 provided on the outside of the housing 1 slides into the slot 22 opened inside the housing 21 to realize the rapid alignment and suspension load of the housing 1 by utilizing the geometric nesting feature between the two. Then, the double-headed bolts 23 provided on both sides of the housing 21 and the locking block 20 generate a strong mechanical locking force through the thread transmission during the tightening process, thereby firmly squeezing and restricting the locking block 20 in the predetermined position of the slot 22, so as to ensure that the housing 1 and the back plate 11 can maintain a long-term and stable rigid connection relationship under the conditions of equipment weight and outdoor vibration.

[0025] Please see the appendix Figure 1 - Appendix Figure 4 In a preferred embodiment of the present invention, the slide rail 16 guides the deflector plate 12 to reciprocate within the housing space by means of a precision sliding guide engagement between the cross groove 17 in its middle and the cross block 18 fixedly connected to the outside of the deflector plate 12. The multi-dimensional geometric interference limiting effect of the cross block 18 inside the cross groove 17 ensures that the deflector plate 12 maintains a preset stable guiding posture when subjected to air convection impact or vibration. The physical intervention and precise guidance of the internal cooling airflow diffusion direction are achieved by the linear displacement trajectory of the cross block 18 along the cross groove 17, thereby ensuring that the low-temperature air can effectively converge to the corresponding heat-generating area of ​​the instrument.

[0026] See attached document Figure 1 - Appendix Figure 6 The instrument 13 integrates a high-frequency current and voltage sampling chip, which performs high-frequency asynchronous sampling of analog current and voltage signals in the power distribution circuit. The controller 3 has an edge AI inference engine microprocessor deployed inside, and the high-frequency current and voltage sampling chip transmits the sampled data to the edge AI inference engine microprocessor through a communication line.

[0027] When a high-frequency current and voltage sampling chip performs a sampling operation, its sampling frequency... The frequency was set to 1MHz. The acquired analog signal was processed by an analog-to-digital converter circuit and converted into a discrete digital sequence of current signals. and voltage signal digital sequence .

[0028] The edge AI inference engine microprocessor receives digital sequences of current signals through communication lines. and voltage signal digital sequence The edge AI inference engine microprocessor uses its internal arithmetic logic unit to perform point-by-point multiplication of current and voltage values ​​at the same time coordinate, thereby generating an instantaneous power sequence. The formula for calculating instantaneous power is as follows: ; In the above formula, for The instantaneous power value at a given moment. for The digital quantity of the voltage signal at any given time. for The digital quantity of the current signal at any given moment.

[0029] To eliminate random high-frequency noise generated during data acquisition, the edge AI inference engine microprocessor performs preprocessing on the generated digital sequence. The preprocessing process employs a sliding window averaging filter algorithm, which smooths the sequence by setting a sliding window of fixed length.

[0030] For the original signal sequence to be processed Smoothed signal sequence after preprocessing The calculation method is as follows: ; In the above formula, The value of the output signal after filtering. In order to be in The original input signal value of the sampling node. The total number of sample points within the preset sliding window. This is the loop index value for the accumulation operation.

[0031] After the edge AI inference engine microprocessor completes preprocessing, it smooths the signal sequence. The data is stored in an internal cache, serving as the data foundation for subsequent load feature extraction and identification algorithms. The entire acquisition and preprocessing process is executed cyclically under the drive of a hardware clock, enabling real-time data monitoring of the power load status.

[0032] Controller 3 receives the preprocessed current signal sequence It then calls the pre-stored load fingerprinting algorithm model in the internal memory to execute non-intrusive load monitoring logic. This algorithm model first processes the current signal sequence... Steady-state features are extracted by converting the time-domain signal into frequency-domain features using Fast Fourier Transform to obtain the amplitude distribution of each harmonic.

[0033] Amplitude of each harmonic The calculation process is as follows: ; In the above formula, For the first The effective amplitude of the first harmonic, For the first The real part coefficients of the first harmonic. For the first The imaginary part coefficient of the first harmonic, It is a positive integer, representing the harmonic order.

[0034] The edge AI inference engine microprocessor extracts steady-state features while simultaneously monitoring the current signal sequence in real time. The system calculates the step increment of the current signal when electrical equipment is connected or disconnected at the back end. Simultaneously, voltage and current trajectory features are extracted. These voltage and current trajectory features are obtained by recording voltage values ​​over a complete cycle. With current value The corresponding coordinate points form a closed curve.

[0035] The edge AI inference engine microprocessor extracts the steady-state harmonic amplitude values. Current step increment The geometric area characteristics of voltage and current trajectories are normalized to construct a real-time load feature vector. .

[0036] The computational model will use real-time load feature vectors Compared with the baseline load feature vector pre-stored in the internal feature library A comparison is performed. The comparison process uses the cosine similarity algorithm to calculate the similarity coefficient. : ; In the above formula, This is the similarity coefficient, and its value ranges from 0 to 1. For real-time extracted feature vectors, This is the baseline feature vector of electrical equipment in the database. and These represent the norms of the two vectors, respectively.

[0037] The edge AI inference engine microprocessor will calculate the similarity coefficient. With the preset recognition threshold Perform logical judgments. The logical judgments are expressed as follows: ; In the above formula, Output values ​​for the recognition results. For the first Category codes for pre-defined electrical equipment This is the system's preset judgment threshold. When the similarity coefficient... Greater than or equal to the threshold At that time, controller 3 determines the type of electrical equipment running in the back end as follows: .

[0038] Controller 3 encodes the output according to its category. The system retrieves the corresponding power safety policy. If the identification result belongs to a preset list of illegal loads or a high-power monitoring list, controller 3 will record the timestamp and device type of the load switching and use it as input conditions for the safety warning logic. Through the above steps, the system can accurately identify the type of back-end connected devices using only controller 3 inside the metering box without adding end sensors.

[0039] Controller 3 receives the high-frequency current signal digital sequence transmitted by instrument 13. The signal is then input into the built-in arc fault analysis algorithm module. This module first uses a high-pass filter to process the original current signal, filtering out the fundamental frequency and low-order harmonic components, thereby extracting the high-frequency characteristic components of the arc signal in the frequency range of 10kHz to 100kHz. .

[0040] The arc fault analysis algorithm module calculates the arc energy distribution value within each power frequency cycle by performing square integration on the characteristic component signals of each power frequency cycle. The formula for calculating arc energy is as follows: ; In the above formula, This represents the characteristic energy value of the electric arc within a single power frequency cycle. This is the high-frequency current component signal after high-pass filtering. The sampling start time point, The duration is defined as one power frequency cycle. While extracting energy characteristics, controller 3 simultaneously analyzes the waveform distortion of the current signal sequence near the zero-crossing point. When a series arc fault occurs, the current waveform will exhibit a distinct flat region at the zero-crossing point, known as the zero-crossing phenomenon. The algorithm calculates the current derivative... And identify the duration for which the derivative approaches zero. .

[0041] Controller 3 will calculate the arc energy distribution value With preset energy threshold Compare and simultaneously consider the zero-rest duration. With preset time threshold A comparison is performed. Only when both conditions are met simultaneously, and in consecutive... When an arc fault occurs repeatedly within a power frequency cycle, the system determines that a valid arc fault has occurred. The determination logic function... The expression is as follows: ; In the above formula, For logical decision output value, when The time indicates that a fault has been triggered. For step function (when The function value is 1 when the time condition is met, and 0 otherwise. For the first Energy value per cycle For the first Zero rest time per cycle, and These are the system's preset energy and time judgment criteria. This is the preset number of consecutive judgment cycles.

[0042] Once the logic determines the output value... If the value is 1, controller 3 immediately generates an alarm control signal and executes active defense actions. Controller 3 sends a trip command to the actuator at the end of the power distribution through the communication interface to cut off the damaged circuit. At the same time, it uploads fire warning information, including fault type code, time stamp of occurrence, and characteristic data segments, to the monitoring cloud through the built-in wireless communication module.

[0043] See attached document Figure 1 - Appendix Figure 3 The door panel 2 uses the pivot point provided by the hinge 9 to reciprocate in an arc around the side of the housing 1 to cover or open the front opening of the housing 1. When the door panel 2 is closed, the sealing gasket 14 fixedly connected to its inner side is precisely pressed into the sealing groove 15 opened on the front edge of the housing 1 along the movement trajectory of the door panel 2. The geometric nesting feature between the sealing gasket 14 and the sealing groove 15 is used to achieve a physical snap-fit, thereby building a continuous and tight sealing barrier at the contact interface between the housing 1 and the door panel 2 to prevent dust and moisture from the external environment from entering the internal instrument installation space.

[0044] See attached document Figure 1 and attached Figure 2The canopy 4 provides sunshade and water protection for the lower box structure by physically covering the top of the box 1, preventing rainwater or external debris from directly eroding the sealing interface at the top of the box 1. Meanwhile, the brackets 5 fixed at the four corners of the bottom of the box 1 use their structural strength to vertically support the whole machine in the installation position and use the ground clearance formed by the lifting to isolate surface moisture and water accumulation, thereby ensuring the electrical insulation safety of the bottom of the box 1.

[0045] The guiding component dynamically intervenes in the flow field distribution inside the housing 1 through the mechanical cooperation between the flow guide plate 12 and the slide rail 16. The cross block 18, which is fixedly connected to the outside of the flow guide plate 12, is embedded in the cross groove 17 opened in the middle of the slide rail 16. The precise positioning of the flow guide plate 12 is achieved by the linear sliding of the cross block 18 inside the cross groove 17. The multi-faceted limiting effect of the cross block 18 ensures that the flow guide plate 12 maintains the stability of its physical posture under the impact of high-speed airflow.

[0046] The linear displacement of the guide plate 12 directly changes the effective cross-sectional area of ​​the air guide channel. Let the effective cross-sectional area of ​​the air guide channel be... The displacement of the diversion plate 12 in the vertical direction is The area is calculated using the following formula: ; In the above formula, This represents the effective cross-sectional area of ​​the air guide channel. This represents the fixed horizontal width of the air guide channel. This represents the total vertical height of the airflow guide space where slide rail 16 is located. This represents the vertical displacement of the diversion plate 12 relative to the bottom reference position of the slide rail 16.

[0047] Controller 3 acquires real-time temperature sensor data located in the vicinity of instrument 13. Internally, controller 3 runs a temperature threshold control program that calculates the temperature deviation by comparing the real-time temperature data with a preset target temperature. The calculation of temperature deviation follows the formula below: ; In the above formula, This represents the controlled temperature deviation at the current sampling time. represent The sensor collects and transmits real-time internal temperature values ​​to the controller 3. This represents the system's preset target temperature for safe operation. Controller 3 uses the calculated temperature deviation. This drives fan 10 to perform speed regulation. Controller 3 outputs a control electrical signal to fan 10. The logic for generating the control electrical signal follows the formula below: ; In the above formula, This represents the percentage of the drive voltage output from controller 3 to fan 10. This represents the preset proportional gain constant. This represents the preset integral term gain constant. The time variable representing the integration operation.

[0048] Controller 3 establishes the position variable of the diversion plate 12 Control signal of fan 10 The electromechanical coordination mapping relationship between them. When the temperature deviation... When the fan speed is increased, the controller 3 simultaneously adjusts the displacement of the guide plate 12 through the drive mechanism while increasing the fan speed 10. By reducing the cross-sectional area of ​​the air guide channel This increases the local wind speed, forcing the airflow generated by fan 10 to concentrate on the surface of instrument 13. Through the synergistic effect of this mechanical displacement and electronically controlled rotation speed, the system achieves directional cooling of the localized high-heat areas inside the housing 1.

[0049] Working principle: The enclosure 1 relies on the support 5 at the bottom to build a physical support structure with a preset protective height on the installation plane, and the ground clearance formed by the lifting effectively isolates the bottom from the erosion of surface moisture and water accumulation. At the same time, the canopy 4 at the top guides rainwater or external debris away from the joint interface at the top of the enclosure 1 through its outward-extending shielding surface, thereby ensuring the external protection strength of the electrical space. The back plate 11 is pre-fixed on the building base as a physical reference for modular mounting, and the slot 22 opened inside the casing 21 fixedly connected to its surface provides precise sliding guidance and gravity support for the external block 20 of the enclosure 1. Then, the double-headed bolts 23 that are set through the casing 21 and the block 20 on both sides, during the tightening process, use the mechanical locking force generated by the thread transmission to firmly press the block 20 into the predetermined depth of the slot 22, thereby ensuring that the enclosure 1 can maintain a long-term stable rigid connection state when subjected to external environmental vibration or the weight of the equipment. The door panel 2 reciprocates in an arc around the pivot point provided by the hinge 9 to open or close the operating surface. When the door panel 2 is in the closed and locked state, the sealing gasket 14 fixedly connected to its inner side is precisely pressed into the sealing groove 15 opened on the front edge of the box 1 along the movement trajectory and fills the physical gap with the compression deformation of the elastic material, thereby building a continuous waterproof and dustproof sealing barrier at the contact interface. The filter frame 19 fixed on the side of the box 1 provides a low-friction linear sliding trajectory for the filter plate 6 through the groove 25 opened inside to achieve the horizontal insertion and installation of the filter medium. At this time, the pin 7 slidably connected inside the box 1 is forced into the slot 26 opened on the outside of the filter plate 6 under the action of the axial elastic restoring force continuously released by the bottom spring 24, thereby completely blocking the lateral displacement tendency of the filter plate 6 through geometric interference. When replacement and maintenance are required, the operator pushes the pin 7 downward through the clearance space provided by the hidden groove 8 to overcome the resistance of the spring 24 and withdraw it from the slot 26, thereby releasing the displacement restriction of the filter plate 6. While performing high-frequency data acquisition tasks at the megahertz level, instrument 13 feeds back the acquired raw current and voltage signal digital sequences to the edge AI inference engine inside controller 3 in real time. Controller 3, as the core command hub of the whole machine, processes the data fed back by instrument 13 in real time and calls the built-in algorithm model to perform load fingerprint recognition to extract equipment operating characteristics and to perform arc fault monitoring logic through high-frequency component analysis. When controller 3 determines that internal heat is accumulating according to the temperature rise monitoring logic, it outputs a drive voltage signal to activate the fan 10 to rotate, thereby generating a negative pressure difference to introduce cold air from the outside through the filter plate 6 into the housing 1 to perform convection. In heat exchange, the slide rail 16 guides the flow plate 12 to produce a controlled linear displacement by means of the precise sliding guide cooperation formed between the cross groove 17 opened in the middle and the cross block 18 fixedly connected to the outside of the flow plate 12. This mechanical displacement adjusts the effective cross-sectional area of ​​the internal air guide channel in real time through physical intervention, thereby increasing the local wind speed through the principle of fluid acceleration and accurately converging the cooling airflow to the high heat generation core area of ​​the instrument 13. Finally, through electromechanical synergy, the various components achieve high-precision intelligent monitoring of power parameters and closed-loop dynamic adjustment of the system operating environment while ensuring the electrical insulation safety and environmental adaptability inside the housing 1.

Claims

1. A modular intelligent electricity metering box, comprising a box body (1), characterized in that, The box (1) is rotatably connected to a door panel (2), the box (1) is provided with a heat dissipation mechanism, the box (1) is provided with a guide component, the box (1) is provided with an instrument (13), the door panel (2) is provided with a controller (3), and the instrument (13) is electrically connected to the controller (3). The heat dissipation mechanism includes a disassembly assembly and a snap-fit ​​assembly. The disassembly assembly includes a filter frame (19), which is fixedly connected to the outside of the housing (1). A filter plate (6) is slidably connected inside the filter frame (19). A groove (25) is provided inside the filter frame (19). A slot (26) is provided on the outside of the filter plate (6). A fan (10) is installed on the outside of the housing (1). The fan (10) is electrically connected to the controller (3).

2. The modular intelligent power metering box according to claim 1, characterized in that, The buckle assembly includes a pin (7), which is slidably connected inside the housing (1). The pin (7) is engaged with the slot (26). A spring (24) is fixedly connected to the bottom of the pin (7). A hidden groove (8) is provided on the outside of the housing (1).

3. A modular intelligent power metering box according to claim 1, characterized in that, The box body (1) is provided with a locking block (20) on the outside, and a back plate (11) is provided on the outside of the box body (1). A shell (21) is fixedly connected to the outside of the back plate (11). A slot (22) is provided inside the shell (21). The locking block (20) and the slot (22) are engaged with each other. Double-headed bolts (23) are provided through both sides of the shell (21) and the locking block (20).

4. A modular intelligent power metering box according to claim 1, characterized in that, The guiding component includes a slide rail (16), a diversion plate (12) is slidably connected inside the slide rail (16), a cross block (18) is fixedly connected outside the diversion plate (12), a cross groove (17) is opened in the middle of the slide rail (16), and the cross block (18) is slidably connected inside the cross groove (17).

5. A modular intelligent electricity metering box according to claim 1, characterized in that, The instrument (13) integrates a high-frequency current and voltage sampling chip, and the controller (3) deploys an edge AI inference engine microprocessor. The high-frequency current and voltage sampling chip is bidirectionally connected to the edge AI inference engine microprocessor through a communication line.

6. A modular intelligent power metering box according to claim 5, characterized in that, The edge AI inference engine microprocessor is internally configured with a load fingerprinting algorithm model. The load fingerprinting algorithm model receives transient waveform feature data collected by the current and voltage high-frequency sampling chip. The edge AI inference engine microprocessor analyzes and calculates the type of backend operating electrical equipment based on the transient waveform feature data.

7. A modular intelligent power metering box according to claim 6, characterized in that, The edge AI inference engine microprocessor is internally configured with an arc fault analysis algorithm module. The arc fault analysis algorithm module extracts high-frequency arc noise features in real time and outputs an alarm control signal. The controller (3) receives the alarm control signal, triggers the command to disconnect the external circuit, and sends a fire warning information.

8. A modular intelligent power metering box according to claim 1, characterized in that, The door panel (2) is rotatably connected to the side of the box body (1) by a hinge (9). A sealing groove (15) is opened on the front edge of the box body (1). A sealing gasket (14) is fixedly connected to the inside of the door panel (2). The sealing gasket (14) and the sealing groove (15) are interlocked.

9. A modular intelligent power metering box according to claim 1, characterized in that, The top of the box (1) is fixedly connected to a canopy (4), and the bottom four corners of the box (1) are fixedly connected to brackets (5).

10. A modular intelligent power metering box according to claim 4, characterized in that, The air guide plate (12) slides and adjusts on the slide rail (16) to form an air guide channel. The controller (3) is configured with a temperature threshold control program. The controller (3) adjusts the speed of the fan (10) based on the internal temperature change data to cooperate with the air guide channel to achieve convection heat dissipation.

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