High security electric energy metering box and control method thereof

Abstract

The application provides a high-safety electric energy metering box and a control method thereof, and belongs to the technical field of electric energy metering boxes. The electric energy metering box comprises a box body, a plurality of electrical elements, a wiring panel and an electrical connection point arranged in the box body, at least one target sensing module and a control module arranged in the box body, the target sensing module comprises an adjusting support and a visible light vision unit and an infrared thermal imaging unit integrated on the adjusting support, the monitoring ranges of the visible light vision unit and the infrared thermal imaging unit jointly cover a same target monitoring area, the target monitoring area comprises at least one electrical connection point, the control module is in communication connection with the target sensing module, and an electrical topology diagram in the box body is pre-stored in the control module. In the application, a visible light and infrared dual-sensor fusion module capable of target monitoring is arranged, and a control module with intelligent decision logic is configured, so that automatic, online and high-reliability monitoring of the loosening state of wiring bolts in the electric energy metering box is realized.

Description

Technical Field

[0001] This invention relates to the field of electricity metering box technology, and specifically to a highly secure electricity metering box and its control method. Background Technology

[0002] Electricity metering boxes are critical equipment in power distribution networks, containing numerous electrical connection points, typically secured by bolts crimping wires. During long-term operation, factors such as electromagnetic vibration and thermal expansion and contraction can cause these bolts to loosen. Loose bolts increase contact resistance at the connection points, leading to localized overheating. This not only causes metering errors but also poses a significant risk of electrical fires. Currently, the condition of bolts within metering boxes is mostly discovered after loosening has caused a malfunction; a few rely on periodic manual inspections, which are inefficient, costly, and lack real-time early warning capabilities. Summary of the Invention

[0003] The purpose of this invention is to overcome the shortcomings and deficiencies of the existing technology and to provide a highly secure electricity metering box and its control method.

[0004] The technical solution adopted by this invention is as follows: Firstly, this application provides a high-security electricity metering box, including a box body. The box body contains several electrical components and terminal blocks. The electrical components and terminal blocks have several electrical connection points for fixing wires with wiring bolts. The box body also contains at least one target sensing module and a control module. The target sensing module includes an adjustment bracket and a visible light vision unit and an infrared thermal imaging unit integrated thereon. The monitoring range of the visible light vision unit and the infrared thermal imaging unit jointly covers the same target monitoring area. The target monitoring area includes at least one electrical connection point. The control module is communicatively connected to the target sensing module and has a pre-stored electrical topology diagram of the box body. The control module is configured as follows: Images from the visible light vision unit are acquired according to a preset cycle. The physical tightness of the bolts is determined by identifying the relative displacement of the wiring bolts, and a visual judgment signal is generated. The temperature information of each electrical connection point in the target monitoring area is acquired in real time based on the infrared thermal imaging unit. For the specific electrical connection point pointed to by the visual judgment signal, multi-level temperature verification logic is executed, and the final wiring bolt information is output.

[0005] In some embodiments, the housing includes a lid, an adjustment plate is provided on the inner side wall of the lid, a plurality of connection holes are evenly provided on the adjustment plate, the adjustment bracket is detachably connected to the connection holes, and at least three reference marks are provided in the target monitoring area.

[0006] In some embodiments, the wiring bolt is provided with a visual identification mark, which includes a reference portion provided on the connecting conductor and a moving portion provided on the wiring bolt or its matching fastener.

[0007] Secondly, this application provides a control method for a high-security electricity metering box, comprising the following steps: S1: Control the visible light vision unit and the infrared thermal imaging unit to scan the target monitoring area and identify the position of the reference mark in the images of the two sensors; based on the reference mark, calculate and store the correction transformation parameters for perspective correction of the visible light image, and the spatial transformation parameters for establishing the mapping relationship between the visible light coordinates and the infrared thermal imaging coordinates. S2: According to a preset cycle, control the visible light vision unit to acquire real-time images, and use the correction transformation parameters to perform perspective correction on the real-time images. Then, based on the corrected images, identify the physical state of each wiring bolt in the target monitoring area, and when an abnormal state is detected, generate a visual trigger signal including the coordinates of the wiring bolt in the visual image. S3: In response to the visual trigger signal, the installation stability of the target sensing module is verified based on the reference mark. After confirming that there is no displacement, the visual coordinates are converted into corresponding coordinates in the infrared thermal imaging image using the spatial transformation parameters, and the temperature data of the coordinate point is obtained. S4: Based on the acquired temperature data, the electrical topology of the circuit where the bolt is located, the connection point attribute information, and the real-time load current, perform multi-level temperature verification; S5: Based on the visual trigger signal and the results of the temperature verification and the corresponding confidence level, perform a weighted fusion decision and execute a response action.

[0008] In some embodiments, generating a visual trigger signal in step S2 includes the following steps: Based on the corrected real-time image, the offset of the moving part of each wiring bolt relative to its reference part is calculated. When the offset exceeds a preset visual judgment threshold and is continuously confirmed by judgment, a visual trigger signal is generated for the wiring bolt.

[0009] In some embodiments, the multi-level temperature verification includes dynamic baseline verification, the specific steps of which are as follows: Obtain the measured temperature of the specific electrical connection point; Obtain the real-time load current of the circuit where the connection point is located; Based on the historical operating data of this connection point, the corresponding historical temperature statistical range is queried according to the real-time load current, which serves as the dynamic theoretical normal temperature range. Determine whether the measured temperature continuously exceeds the dynamic theoretical normal temperature range, and generate the corresponding dynamic baseline verification result.

[0010] In some embodiments, the multi-level temperature verification includes comparative verification with similar systems, the specific steps of which are as follows: The electrical circuit to which the specific electrical connection point belongs is determined from the electrical topology diagram; Based on the electrical topology and connection point attributes, at least one reference connection point comparable to the specific electrical connection point is determined; The temperature of the reference connection point is obtained as the reference temperature; Calculate the temperature difference between the measured temperature of the specific electrical connection point and the reference temperature; Determine whether the temperature difference exceeds the dynamic temperature difference threshold determined based on historical data statistics of comparable connection point groups and real-time load current, and generate corresponding comparative verification results.

[0011] In some embodiments, the multi-level temperature verification includes adaptive trend verification, the specific steps of which are as follows: Retrieve the historical temperature and synchronous load current data sequence of the specific electrical connection point; The temperature data is normalized in conjunction with the load current, the recent trend of normalized temperature change is analyzed, and the temperature rise rate per unit current is calculated. Determine whether the normalized temperature rise rate exceeds the trend threshold obtained from historical stable period data, or whether it shows a continuous accelerating upward trend, and generate the corresponding adaptive trend verification result.

[0012] In some embodiments, the fusion decision and execution of response actions includes the following steps: If the visual trigger signal is established, and any high-confidence verification result in the multi-level temperature verification results indicates an anomaly, or at least two medium- or higher-confidence verification results simultaneously indicate an anomaly, then it is determined that a loosening fault has been confirmed, a high-level alarm including specific location information is generated and reported, a local audible and visual alarm is triggered, and the trip protection is activated when the temperature exceeds the safety threshold and there is no intervention after a delay. If the visual trigger signal is established, but all temperature verification results do not indicate any abnormality, or the confidence level of the results indicating abnormality is lower than the preset threshold, it is determined to be a suspected observation item. The frequency of image acquisition and analysis at this connection point is increased, and logs are recorded for continuous observation. If the visual trigger signal is not valid, but the results of the same-type comparison verification and adaptive trend verification both indicate anomalies, and the result of the dynamic baseline verification does not support a normal state, then it is determined to be a potential hidden fault or contact surface deterioration, a prompt warning message is generated and reported, and manual review is recommended.

[0013] In some embodiments, the method further includes the following step: maintaining a comprehensive health index for each electrical connection point, the health index being calculated based on the frequency of dynamic baseline verification deviations, the ranking of temperature differences in similar comparisons, and the results of adaptive trend verification, for predictive maintenance assessment.

[0014] The beneficial effects of the present invention are as follows: By setting up a visible light and infrared dual sensor fusion module that can be targeted for monitoring, and configuring a control module with intelligent decision-making logic, the present invention realizes automatic, online, and highly reliable monitoring of the loose state of wiring bolts in the power metering box. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, obtaining other drawings based on these drawings without creative effort still falls within the scope of the present invention.

[0016] Figure 1 This is a schematic diagram of a high-security electricity metering box according to the present invention. Figure 1 ; Figure 2 This is a schematic diagram of a high-security electricity metering box according to the present invention. Figure 2 ; Figure 3 This is a schematic diagram of a high-security electricity metering box according to the present invention. Figure 3 ; Figure 4 This is a flowchart of a control method for a highly secure electricity metering box according to the present invention. Detailed Implementation

[0017] The following description provides specific application scenarios and requirements for this specification, intended to enable those skilled in the art to make and use the contents of this specification. Various partial modifications to the disclosed embodiments will be apparent to those skilled in the art, and the general principles defined herein can be applied to other embodiments and applications without departing from the spirit and scope of this specification. Therefore, this specification is not limited to the embodiments shown, but rather to the widest scope consistent with the claims.

[0018] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "longitudinal", "lateral", "radial", "length", "width", "thickness", "upper", "lower", "left", "right", "front", "rear", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. These terms are mainly for the purpose of better describing this application and its embodiments, and are not intended to limit the indicated device, element or component to have a specific orientation, or to be constructed and operated in a specific orientation.

[0019] It should be noted that the terms "first," "second," and similar words do not indicate any order, quantity, or importance, but are only used to distinguish different components and should not be construed as limiting the embodiments of this application.

[0020] It should be noted that the terms "installation," "setup," "equipped with," "connection," and "connected" should be interpreted broadly. For example, they can refer to fixed connections, detachable connections, or integral structures; they can refer to mechanical connections or electrical connections; they can refer to direct connections or indirect connections through an intermediate medium, or internal connections between two devices, components, or parts.

[0021] It should be noted that the terms "in some embodiments," "exemplarily," and "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described in this application as "in some embodiments," "exemplarily," or "for example" should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of terms such as "in some embodiments," "exemplarily," and "for example" is intended to present related concepts in a specific manner, meaning that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of the above terms in various places in the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0022] Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0023] Regarding the accompanying drawings of this application, it should be clearly understood that the drawings are for illustrative and descriptive purposes only and are not intended to limit the scope of this specification. It should also be understood that the drawings are not necessarily drawn to scale.

[0024] To address the problem of difficulty in real-time, accurate, and automatic monitoring of loose wiring bolts in existing power metering boxes, such as... Figures 1 to 4As shown, this application provides a high-security electricity metering box, including a box body 1. The box body 1 is provided with a plurality of electrical components 2 and a terminal block 3. The electrical components 2 and the terminal block 3 are provided with a plurality of electrical connection points for fixing wires with terminal bolts. The box body 1 is also provided with at least one target sensing module 4 and a control module. The target sensing module 4 includes an adjustment bracket 7 and a visible light vision unit and an infrared thermal imaging unit integrated thereon.

[0025] Among them, the electrical component 2 is a traditional power metering box circuit breaker, power meter, fuse, etc.

[0026] The visible light vision unit is used to acquire visible light images, and it preferably integrates a light source component, such as an LED supplemental light, to provide illumination when there is insufficient light inside the chamber, ensuring image clarity. The infrared thermal imaging unit is used to acquire temperature distribution images.

[0027] The visible light vision unit and the infrared thermal imaging unit together cover the same target monitoring area, which includes at least one electrical connection point, i.e., the location of a wire connection fixed with a wiring bolt, and is marked with a unique number.

[0028] The control module is communicatively connected to the target sensing module 4 and has a pre-stored electrical topology diagram of the box 1. The electrical topology diagram is a logic diagram or data table pre-stored in the control module's memory that describes the connection relationship between all electrical components inside the power metering box. The communication connection is wireless, wired, Bluetooth, etc.

[0029] It is understandable that the data communication in the control module is uploaded to a dedicated processing center for centralized processing.

[0030] The control module is configured to: acquire images from the visible light vision unit according to a preset cycle, determine the physical tightness of the bolts by identifying the relative displacement of the wiring bolts, generate a visual judgment signal, acquire temperature information of each electrical connection point in the target monitoring area in real time based on the infrared thermal imaging unit, execute multi-level temperature verification logic for the specific electrical connection point pointed to by the visual judgment signal, and output the final wiring bolt information, including whether it is loose and its position.

[0031] In some embodiments, an adjustment plate 5 can be fixedly installed on the inner wall of the box cover of the housing 1. Multiple sets of connection holes 6 are evenly arranged in a matrix on the adjustment plate 5. The adjustment bracket 7 of the target sensing module 4 is connected to the connection holes 6 at different selected positions via bolts or other fastening components, thereby enabling the detachable fixing of the target sensing module 4 on the box cover and flexible adjustment of its horizontal position. Since visual sensors generally cannot cover all electrical connection points inside the electricity metering box, priority is given to monitoring electrical components where wiring bolts are prone to loosening or densely connected areas such as terminal blocks.

[0032] In some embodiments, since the target sensing module 4 is located on the lid, it can also serve as an anti-theft monitoring device.

[0033] Furthermore, at least three reference markers are provided within the target monitoring area. These reference markers are located within the target monitoring area, rigidly connected to the housing 1, and possess identifiable features in both the visible and infrared bands. For example, the reference markers may employ AprilTag (visual tag encoding) or ArUco (augmented reality tag encoding) patterns etched onto a metal substrate, and the substrate undergoes surface treatment, such as spraying a high-emissivity matte coating, to give it high-contrast encoding features under visible light and a stable outline under infrared thermal imaging due to the difference in thermal properties with the surrounding insulating material.

[0034] By comparing the real-time pixel coordinates of the three reference markers with the initially calibrated reference coordinates, the control module can simultaneously perform two tasks: first, it can perform perspective correction of the visible light image through the homography matrix to eliminate the influence of camera pose changes; second, it can use these markers, which are clearly identifiable in both dual-modal images, to calculate and store the spatial transformation parameters used for mapping between visible light coordinates and infrared thermal imaging coordinates.

[0035] The connecting bolts between the adjusting bracket 7 and the adjusting plate 5 are equipped with anti-loosening washers. At the same time, the control module can automatically identify the displacement of the target sensing module 4 by changing the position of the reference mark.

[0036] Preferably, to facilitate accurate identification of minute rotations of the bolt by the visual algorithm, a visual identification mark is provided on the wiring bolt. The visual identification mark includes a high-contrast etched scale line or permanent mark on the reference part of the connecting conductor, such as the copper strip of the terminal block 3 or the terminal of the electrical component 2, and a moving part on the wiring bolt or its matching fastener. For example, the moving part is a high-temperature resistant, high-reflectivity, or high-absorption colored strip coated on the same specific edge of the head of the wiring bolt. During installation, the edge is required to maintain a predetermined relative angle relationship with the reference part. By tracking the position or angle change of the colored strip on the specific edge relative to the reference part through the image recognition algorithm, it can be determined whether the bolt is loose.

[0037] In addition, the image recognition algorithm of the control module needs to add the judgment of the occlusion status of the mark. When the reference part or moving part is continuously occluded by the wire or other object, a visual monitoring failure alarm should be generated instead of a loosening judgment.

[0038] The control module is the intelligent core of the power metering box, and it typically includes a processor, a memory, and a communication unit. The memory stores a pre-contained electrical topology diagram of the box 1, which shows the connection relationships between each electrical component 2, terminal block 3, and wire, i.e., the electrical circuit to which each electrical connection point belongs.

[0039] In addition, the control module is also connected to a current monitoring unit for synchronously collecting load current data of each electrical circuit with the visible light vision unit and the infrared thermal imaging unit; an independent ambient temperature sensor is also installed inside the enclosure 1, which does not overlap with the temperature measurement range of the target sensing module 4, and is used to collect the ambient temperature inside the enclosure without heat source interference.

[0040] The control module is configured to execute a highly secure control method for the electricity metering box to coordinate with the target sensing module 4 to complete bolt loosening detection, including the following steps: S1: Control the visible light vision unit and the infrared thermal imaging unit to scan the target monitoring area. First, identify the position of the reference marker in the images of the two sensors, using it as the registration anchor point. Calculate and store the correction transformation parameters for perspective correction of the visible light image, as well as the spatial transformation parameters for establishing the mapping relationship between the visible light coordinates and the infrared thermal imaging coordinates. Simultaneously, store the initial position of the reference marker as a reference for subsequent installation displacement verification and reregistration.

[0041] S2: After the system is running normally, the control module, according to a preset cycle (which can be adjusted according to the usage time of the power metering box), first controls the visible light vision unit to acquire an image. Then, using the correction transformation parameters stored in step S1, it performs perspective correction on the image based on a reference mark to eliminate image deviation caused by changes in camera pose. Subsequently, based on the corrected image, it identifies the physical state of each wiring bolt within the target monitoring area. If the visual identification mark is continuously obstructed, a visual monitoring failure signal is generated; if the identification is successful, the offset of the moving part on each wiring bolt relative to its reference part is calculated. When the offset of a bolt exceeds a preset visual judgment threshold, such as 0.5 mm or 2°, and multiple consecutive checks confirm an anomaly, a visual trigger signal is generated for that bolt.

[0042] S3: If a visual trigger signal is generated, first verify the position of the reference mark. After confirming that the target sensing module 4 has no installation displacement, use the spatial transformation parameters stored in step S1 to convert the bolt visual coordinates in the visual trigger signal into the corresponding coordinates in the infrared thermal imaging unit image. Then, extract the measured temperature value of that coordinate point from the temperature distribution data uploaded in real time by the infrared thermal imaging unit.

[0043] If a visual monitoring failure signal is generated, the coordinate transformation step is skipped, and the temperature data of all electrical connection points in the target monitoring area in the infrared thermal imaging image is directly extracted for subsequent verification.

[0044] S4: Based on the acquired temperature data, the electrical topology of the circuit where the bolt is located, the connection point attributes, and the synchronously acquired real-time load current, where the connection point attributes include connection type, wire specifications, and load phase, multi-level temperature verification is performed. Since loose wiring bolts mostly occur after long-term operation of the energy metering box, a data learning period of one week or more is initially set in the system. During the learning period, data is mainly accumulated, and only basic temperature monitoring and alarms are performed. After the learning period, the following complete multi-level verification logic is officially activated. The verification logic includes, but is not limited to, the following three levels: S41: Dynamic baseline verification, the specific steps of which are as follows: The control module continuously records the historical temperature of each connection point under different real-time load currents I, forming a unique current and temperature scatter plot dataset for that point. When verification is required, based on the current real-time load current I, it searches for all records with current values ​​close to (e.g., ±10%) in the historical dataset for that point, calculates their temperature statistical range, and uses a 95% confidence interval as the dynamic theoretical normal temperature range. If the measured temperature exceeds the theoretical normal temperature range for multiple monitoring cycles, a dynamic baseline verification of the anomaly result is generated.

[0045] If there is insufficient historical data (such as for new installation points), the system will automatically downgrade to: using the temperature statistical range of similar type and specification connection points under similar currents as a temporary reference, and marking it with low confidence.

[0046] S42: Comparative verification with similar counterparts, the specific steps of which are as follows: Based on the pre-stored electrical topology diagram and connection point attributes, the control module first identifies connection points belonging to the same electrical circuit as the suspected point that have not generated visual trigger signals or high-level temperature alarms in the current and recent monitoring cycles as references. If there are insufficient reference points within the same circuit, the module expands its search to include all connection points with the same connection type, wire specifications, and load phase attributes as comparable points. The average temperature of these reference points or comparable points is then obtained. Calculate the temperature difference. The temperature difference threshold is a dynamic value, whose base value is determined based on historical temperature difference statistics of similar connection point groups and dynamically scaled with the square of the real-time load current I. If ΔT exceeds the dynamic threshold, an abnormal result is generated for comparison with similar connections.

[0047] S43: Adaptive trend verification, the specific steps of which are as follows: The control module retrieves historical temperature and synchronous current data for the connection point over a period of time, such as 24 hours and 7 days. First, it normalizes the temperature using the current data to eliminate the impact of load fluctuations on the temperature rise trend analysis, calculating the temperature rise rate per unit current. This recent normalized temperature rise rate is then compared to a baseline rate obtained from statistical analysis during the point's long-term stable operation. If the recent rate significantly exceeds the baseline rate (e.g., more than double), or if it does not exceed the limit but shows a continuous accelerating upward trend (e.g., an accelerating upward trend for five consecutive calculation cycles), an adaptive trend verification anomaly result is generated. For newly installed points, this verification result will be marked as pending until sufficient data is accumulated.

[0048] Specifically, a confidence level assessment is introduced for each level of temperature validation results, and a weighted fusion strategy is adopted. The confidence level C can be quantified as a value between 0 and 1, and the confidence level calculation principles for each validation level are as follows: Dynamic baseline validation confidence : Where N is the number of historical valid data points used to construct the dynamic range, referring to the number of sets of current-temperature pairing data for the connection point under various load currents learned by the system. The larger N is, the more robust and statistically significant the established dynamic normal temperature range model is, and the higher its confidence level.

[0049] σ is the coefficient of variation of the historical temperature data at this point, measuring the degree of fluctuation in the historical temperature data at this connection point. The smaller σ is, the more stable the historical operation of this point is, the clearer the definition of its normal range, and the higher the confidence level. A large σ indicates that the temperature of this point itself fluctuates greatly, and even if the current temperature exceeds the historical range, it may just be a normal fluctuation, thus the confidence level is low.

[0050] Confidence level of comparison with similar systems : Where M is the number of valid comparable points for comparison, referring to the number of connection points in the same circuit or with the same attributes (such as wire specifications and load phase) and in normal condition. The larger M is, the more references are available for comparison, and the more representative the calculated average reference temperature is, and the higher the confidence level.

[0051] δ represents the dispersion of current temperatures among these reference points. It measures how much the current temperatures of all the reference connection points differ from each other. The smaller δ is, the more consistent the current operating conditions of these reference points are, and the more reliable and confident it is to use their average temperature as a normal standard. If δ is large, it indicates poor correlation among the reference points, and using their average temperature to measure suspected points is unreliable.

[0052] Adaptive trend verification confidence : Where T represents the effective historical data time span for trend analysis, indicating how long the system has historical data for that connection point. The longer T is, the better the system can distinguish between long-term stable trends and recent abnormal temperature increases, resulting in higher confidence levels.

[0053] D represents the continuity of the data (e.g., missing rate), indicating whether there is a large amount of missing data in the historical data. The higher the D (lower missing rate), the more consistent and accurate the trend analysis curve will be, and the higher the confidence level will be. If the data is discontinuous, the calculated rate of temperature rise may be distorted.

[0054] For example, the confidence level C is quantized into three levels: high, medium, and low, and the determination is based on a preset quantization threshold: Dynamic baseline validation confidence : High: Number of valid historical data points For example: 100 groups, and the coefficient of variation of historical temperature data. For example: 0.05.

[0055] Low: N < (For example: 20 groups).

[0056] Medium: Situations where the high or low conditions are not met.

[0057] Confidence level of comparison with similar systems : High: Number of valid comparable points of the same type For example: 3, and the current temperature dispersion coefficient between reference points. For example: 1.0℃.

[0058] Low: For example: 2.

[0059] Medium: Situations where the high or low conditions are not met.

[0060] Adaptive trend verification confidence : High: Effective historical data time span for trend analysis For example: 7 days, and data continuity rate For example: 95%.

[0061] Low: For example: 24 hours.

[0062] Medium: Situations where the high or low conditions are not met.

[0063] in, These are all system-preset configurable parameters.

[0064] This makes the judgment more intelligent and robust, avoiding false alarms or missed alarms caused by poor data quality, inaccurate reference systems, or short learning periods, thereby improving the reliability and practicality of the entire monitoring system.

[0065] S5: Based on the visual monitoring status, visual trigger signals, and the results and confidence levels of temperature verification at each level, the system makes a fusion decision and executes a response action. Specifically, the system makes judgments in the following priority order: If the system determines that visual monitoring has failed, the visual trigger signal will be ignored, and the decision will be made directly based on the temperature verification results. If both the comparative verification and adaptive trend verification results indicate a high-confidence anomaly for any connection point, it is determined to be a high-risk latent fault. A high-level alarm will be generated immediately and an audible and visual alarm will be triggered. Emergency manual intervention is recommended.

[0066] Otherwise, generate and report a visual function degradation maintenance prompt message.

[0067] When visual monitoring is normal: If the visual trigger signal is triggered and any high-confidence temperature verification result indicates an anomaly, or at least two medium- or higher-confidence verification results simultaneously indicate an anomaly, then a loosening fault is confirmed. In response, the control module generates a high-level alarm containing specific bolt location information, reports it to the remote monitoring platform via the communication unit, and triggers the audible and visual alarm on enclosure 1. For emergency faults where the temperature exceeds the safety threshold, a manual intervention delay window is set. If no intervention occurs after the delay, the corresponding circuit breaker will trip for protection. If the visual trigger signal is triggered, but all temperature verification results do not indicate an anomaly, or the confidence levels of the results indicating an anomaly are all very low, then it is determined to be a suspected observation item. The system will increase the frequency of image acquisition and analysis for that point, record logs, and continue to observe; If the visual trigger signal fails (i.e., visual monitoring is normal but no displacement is detected), but both the comparative verification and adaptive trend verification results show anomalies with moderate to high confidence, and the dynamic baseline verification result does not support a normal state, then it is determined to be a potential latent fault or contact surface deterioration. The system generates a prompt warning message and reports it, recommending that maintenance personnel conduct a manual review.

[0068] In addition, the system maintains a long-term health index for each connection point. This index integrates the frequency of dynamic baseline deviation, historical ranking of relative temperature difference, and normalized temperature rise trend. Maintenance priorities are set based on this index, providing an intuitive basis for predictive maintenance.

[0069] This index is calculated periodically based on the following formula: in: This represents the frequency of anomalies in recent dynamic baseline validation.

[0070] This is the maximum allowed frequency threshold.

[0071] This represents the historical percentile ranking of the temperature difference at this point among similar connection points; the higher the ranking, the greater the temperature difference.

[0072] This represents the recent normalized temperature rise rate at that point.

[0073] This is the preset alarm threshold for the rate of temperature rise.

[0074] These are the weighting coefficients, and α + β + γ = 1.

[0075] The lower the Health Index (HI), the worse the health status at that point, and the higher the maintenance priority.

[0076] In summary, after reading this detailed disclosure, those skilled in the art will understand that the foregoing detailed disclosure is presented by way of example only and is not restrictive. Although not explicitly stated herein, those skilled in the art will understand that the requirements of this application encompass various reasonable changes, improvements, and modifications to the embodiments. These changes, improvements, and modifications are intended to be made by this application and are within the spirit and scope of the exemplary embodiments of this application.

[0077] Furthermore, it should be understood that in the foregoing description of the embodiments of this application, various features are combined in a single embodiment, drawing, or description for the purpose of simplifying the understanding of a feature. However, this does not mean that the combination of these features is necessary, and those skilled in the art may readily identify some of the devices as separate embodiments when reading this application. That is, the embodiments in this application can also be understood as an integration of multiple sub-embodiments. It is also valid when each sub-embodiment contains fewer than all the features of a single foregoing disclosed embodiment.

[0078] Finally, it should be understood that the embodiments disclosed herein are illustrative of the principles of the embodiments of this application. Other modified embodiments are also within the scope of this application. Therefore, the embodiments disclosed herein are merely examples and not limitations. Those skilled in the art can adopt alternative configurations to implement the applications in this application based on the embodiments in this application. Therefore, the embodiments of this application are not limited to the embodiments precisely described in the application.

Claims

1. A high-security electricity metering box, comprising a box body, wherein a plurality of electrical components and terminal blocks are disposed within the box body, and the electrical components and terminal blocks are provided with a plurality of electrical connection points for fixing wires with terminal bolts, characterized in that, The enclosure also houses at least one target sensing module and a control module. The target sensing module includes an adjustment bracket and an integrated visible light vision unit and infrared thermal imaging unit. The monitoring range of the visible light vision unit and the infrared thermal imaging unit jointly covers the same target monitoring area. The target monitoring area includes at least one electrical connection point. The control module is communicatively connected to the target sensing module and has a pre-stored electrical topology diagram of the enclosure. The control module is configured as follows: Images from the visible light vision unit are acquired according to a preset cycle. The physical tightness of the bolts is determined by identifying the relative displacement of the wiring bolts, and a visual judgment signal is generated. The temperature information of each electrical connection point in the target monitoring area is acquired in real time based on the infrared thermal imaging unit. For the specific electrical connection point pointed to by the visual judgment signal, multi-level temperature verification logic is executed, and the final wiring bolt information is output.

2. The high-security electricity metering box according to claim 1, characterized in that, The housing includes a lid, an adjustment plate is provided on the inner side wall of the lid, a plurality of connection holes are evenly provided on the adjustment plate, the adjustment bracket is detachably connected to the connection holes, and at least three reference marks are provided in the target monitoring area.

3. The high-security electricity metering box according to claim 1, characterized in that, The wiring bolt is provided with a visual identification mark, which includes a reference part on the connecting conductor and a moving part on the wiring bolt or its matching fastener.

4. A control method for a high-security electricity metering box as described in any one of claims 1 to 3, characterized in that, Includes the following steps: S1: Control the visible light vision unit and the infrared thermal imaging unit to scan the target monitoring area and identify the position of the reference mark in the images of the two sensors; based on the reference mark, calculate and store the correction transformation parameters for perspective correction of the visible light image, and the spatial transformation parameters for establishing the mapping relationship between the visible light coordinates and the infrared thermal imaging coordinates. S2: According to a preset cycle, control the visible light vision unit to acquire real-time images, and use the correction transformation parameters to perform perspective correction on the real-time images. Then, based on the corrected images, identify the physical state of each wiring bolt in the target monitoring area, and when an abnormal state is detected, generate a visual trigger signal including the coordinates of the wiring bolt in the visual image. S3: In response to the visual trigger signal, the installation stability of the target sensing module is verified based on the reference mark. After confirming that there is no displacement, the visual coordinates are converted into corresponding coordinates in the infrared thermal imaging image using the spatial transformation parameters, and the temperature data of the coordinate point is obtained. S4: Based on the acquired temperature data, the electrical topology of the circuit where the bolt is located, the connection point attribute information, and the real-time load current, perform multi-level temperature verification; S5: Based on the visual trigger signal and the results of the temperature verification and the corresponding confidence level, perform a weighted fusion decision and execute a response action.

5. The control method for a high-security electricity metering box according to claim 4, characterized in that, In step S2, generating the visual trigger signal includes the following steps: Based on the corrected real-time image, the offset of the moving part of each wiring bolt relative to its reference part is calculated. When the offset exceeds a preset visual judgment threshold and is continuously confirmed by judgment, a visual trigger signal is generated for the wiring bolt.

6. The control method for a high-security electricity metering box according to claim 4, characterized in that, The multi-level temperature verification includes dynamic baseline verification, the specific steps of which are as follows: Obtain the measured temperature of the specific electrical connection point; Obtain the real-time load current of the circuit where the connection point is located; Based on the historical operating data of this connection point, the corresponding historical temperature statistical range is queried according to the real-time load current, which serves as the dynamic theoretical normal temperature range. Determine whether the measured temperature continuously exceeds the dynamic theoretical normal temperature range, and generate the corresponding dynamic baseline verification result.

7. The control method for a high-security electricity metering box according to claim 6, characterized in that, The multi-level temperature verification includes comparative verification with similar systems, and its specific steps are as follows: The electrical circuit to which the specific electrical connection point belongs is determined from the electrical topology diagram; Based on the electrical topology and connection point attributes, at least one reference connection point comparable to the specific electrical connection point is determined; The temperature of the reference connection point is obtained as the reference temperature; Calculate the temperature difference between the measured temperature of the specific electrical connection point and the reference temperature; Determine whether the temperature difference exceeds the dynamic temperature difference threshold determined based on historical data statistics of comparable connection point groups and real-time load current, and generate corresponding comparative verification results.

8. The control method for a high-security electricity metering box according to claim 7, characterized in that, The multi-level temperature verification includes adaptive trend verification, the specific steps of which are as follows: Retrieve the historical temperature and synchronous load current data sequence of the specific electrical connection point; The temperature data is normalized in conjunction with the load current, the recent trend of normalized temperature change is analyzed, and the temperature rise rate per unit current is calculated. Determine whether the normalized temperature rise rate exceeds the trend threshold obtained from historical stable period data, or whether it shows a continuous accelerating upward trend, and generate the corresponding adaptive trend verification result.

9. The control method for a high-security electricity metering box according to claim 7, characterized in that, The fusion decision-making and response action execution includes the following steps: If the visual trigger signal is established, and any high-confidence verification result in the multi-level temperature verification results indicates an anomaly, or at least two medium- or higher-confidence verification results simultaneously indicate an anomaly, then it is determined that a loosening fault has been confirmed, a high-level alarm including specific location information is generated and reported, a local audible and visual alarm is triggered, and the trip protection is activated when the temperature exceeds the safety threshold and there is no intervention after a delay. If the visual trigger signal is established, but all temperature verification results do not indicate any abnormality, or the confidence level of the results indicating abnormality is lower than the preset threshold, it is determined to be a suspected observation item. The frequency of image acquisition and analysis at this connection point is increased, and logs are recorded for continuous observation. If the visual trigger signal is not valid, but the results of the same-type comparison verification and adaptive trend verification both indicate anomalies, and the result of the dynamic baseline verification does not support a normal state, then it is determined to be a potential hidden fault or contact surface deterioration, a prompt warning message is generated and reported, and manual review is recommended.

10. The control method for a high-security electricity metering box according to claim 9, characterized in that, It also includes the following steps: A comprehensive health index is maintained for each electrical connection point. The health index is calculated based on the frequency of dynamic baseline verification deviation, the ranking of temperature differences in similar comparisons, and the results of adaptive trend verification, and is used for predictive maintenance assessment.

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