Distribution box system

Abstract

The invention provides a power distribution box system, which relates to the technical field of power distribution boxes, and comprises a metering module, a multi-dimensional sensing module, a data processing module and a power distribution box control module, the power distribution module is connected between the wire inlet end of the power distribution box and each branch wire outlet end and is used for realizing electric energy distribution of the power supply module; the association evaluation module is used for carrying out association analysis on key parameters in the operation process of the distribution box and outputting an analysis result; the response processing module is used for executing a processing strategy based on the analysis result; and the intelligent control module is electrically connected with the multi-dimensional sensing module, the power distribution module, the metering module, the association evaluation module and the response processing module. Through multi-parameter correlation analysis, the limitation of traditional single-parameter monitoring is broken through, the actual operation state of the distribution box can be reflected more accurately, and state misjudgment is reduced.

Description

Technical Field

[0001] This invention relates to the field of distribution box technology, specifically to a distribution box system. Background Technology

[0002] A distribution box is a device that assembles switching equipment, measuring instruments, protective electrical appliances, and auxiliary equipment in a distribution box body according to electrical wiring requirements. Distribution boxes include distribution boxes with metering functions (metering distribution boxes), which can not only distribute and protect electrical power, but also accurately measure electrical energy. They are widely used in residential buildings, industrial plants, commercial buildings, and other scenarios, and are the basic equipment for the integration of "distribution + metering" in the power system.

[0003] Existing metering distribution box systems, such as CN221727683U, a type of distribution box and its control system, have the following problems: they collect multiple operating parameters (such as temperature and current), but only analyze the operating parameters individually to determine whether to alarm, without performing coupling analysis on the correlation between different parameters, which may lead to warning deviations due to ignoring the risk of coupling between parameters. Summary of the Invention

[0004] This invention provides a distribution box system to solve the technical problem mentioned in the background art: "simply analyzing operating parameters to determine whether an alarm should be triggered without performing a coupling analysis of the correlation between different parameters will lead to early warning deviations due to ignoring the coupling risks between parameters."

[0005] To address the aforementioned technical problems, this invention discloses a distribution box system, including a metering module, and further comprising: Multi-dimensional sensing module: used to detect key parameters during the operation of the distribution box; Power distribution module: Connected between the incoming line terminal and the outgoing line terminals of each branch in the power distribution box, it is used to distribute the power of the power supply module; Correlation Assessment Module: Used to perform correlation analysis on key parameters during the operation of the distribution box and output the analysis results; Response and handling module: Used to execute handling strategies based on analysis results; Intelligent control module: The intelligent control module is electrically connected to the multi-dimensional sensing module, power distribution module, metering module, correlation evaluation module, and response and handling module.

[0006] Preferably, the metering module includes: Sampling unit: used to collect raw current and voltage signals of the power distribution circuit; Electricity metering unit: integrates a metering chip to convert the raw signals collected by the sampling unit into metering-grade electricity data; Data storage unit: Used to store metering-level electrical energy data.

[0007] Preferably, the metering-level energy data includes at least one of the following: active power, reactive power, cumulative active energy, cumulative reactive energy, and real-time power factor.

[0008] Preferably, the metering module also includes: Data interaction subunit: used to upload metering-level electrical energy data to the host computer system in real time.

[0009] Preferably, the multi-dimensional perception module includes: Circuit acquisition unit: used to acquire key temperature and voltage analog signals, and current analog signals of power distribution circuits; Busbar acquisition unit: Used to acquire key temperature and voltage analog signals, and current analog signals of the busbar system.

[0010] Preferably, the correlation evaluation module includes: Harmonic Analysis Unit: Performs Fourier decomposition on the voltage analog signal and current analog signal of the current time period through a dedicated harmonic analysis chip to determine the voltage harmonic distortion rate and current harmonic distortion rate of the current time period. Current analysis unit: used to determine the current fluctuation coefficient and current redundancy coefficient for the current period by combining the current simulation signal for the current period; Thermal analysis unit: used to determine the thermal stress factor of the bus system in the current period by combining the key temperature, voltage harmonic distortion rate, current harmonic distortion rate, current fluctuation coefficient and current redundancy coefficient of the bus system in the current period. The thermal stress factor of the power distribution circuit during the current period is determined by combining the key temperature, voltage harmonic distortion rate, current harmonic distortion rate, current fluctuation coefficient, and current redundancy coefficient of the power distribution circuit during the current period. Thermal load analysis unit: Combines the thermal stress factor of the busbar, the thermal stress factor of the distribution circuit, and the current redundancy coefficient of the distribution circuit to determine the thermal-load state coefficient of the distribution circuit. The response and handling module includes: Early warning unit: Used to issue an early warning when any of the bus thermal stress factor, circuit thermal stress factor, or thermal-load state coefficient is outside the corresponding allowable range.

[0011] Preferably, it also includes a dynamic current limiting adjustment module, including: Load disturbance analysis unit: Determines the load disturbance factor of the current distribution circuit for the current period based on the voltage harmonic distortion rate, current harmonic distortion rate, current fluctuation coefficient, and current redundancy coefficient of the current distribution circuit for the current period. Current limiting disturbance analysis unit: Based on the historical current limiting stability time of the current distribution circuit under the current load and the load disturbance factor of the current distribution circuit in the current time period, the current limiting disturbance coefficient of the current distribution circuit in the current time period is determined. Current limiting determination unit: Combines the current limiting disturbance coefficient, thermal-load state coefficient, and rated current of the current distribution circuit to determine the current limiting current of the current distribution circuit; Decision unit: Used to determine adjustment strategies based on the current limiting current of the current distribution circuit.

[0012] Preferably, the multi-dimensional perception module includes: Circuit acquisition unit: used to acquire key temperature and voltage analog signals, and current analog signals of power distribution circuits; The distribution box system also includes a load assessment and adjustment module, which includes: Load analysis unit: used to determine the current fluctuation coefficient of the power distribution circuit in the current period by combining the current simulation signal of the power distribution circuit in the current period; to determine the voltage fluctuation coefficient of the power distribution circuit in the current period by combining the voltage simulation signal of the power distribution circuit in the current period; and to determine the load fluctuation coefficient of the power distribution circuit in the current period by combining the current fluctuation coefficient and the voltage fluctuation coefficient of the power distribution circuit in the current period. Fluctuation-Power Joint Analysis Unit: Used to determine the fluctuation power coefficient of the distribution circuit for the current period based on the load fluctuation coefficient and load power of the distribution circuit for the current period; Runtime analysis unit: used to determine the duration attenuation coefficient corresponding to each loop load based on the remaining runtime of each loop load and the preset "runtime-duration attenuation coefficient model"; Correlation Analysis Unit: Analyzes the electrical correlation and degree of correlation of the loads in each power distribution circuit, and determines the group of related circuits; Priority adjustment unit: used to redetermine the load priority coefficient of each distribution circuit in the associated circuit group by combining the duration attenuation coefficient of each circuit load, the power fluctuation coefficient of the distribution circuit and the current redundancy coefficient. When it is determined that the power distribution circuit needs to be pre-adjusted, the strategy of "prioritizing the adjustment of low-priority loads + coordinating the adaptation of related circuits" is implemented.

[0013] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments.

[0014] Compared with the prior art, the present invention has the following beneficial effects: By using multi-parameter correlation analysis, the limitations of traditional single-parameter monitoring are overcome, enabling more accurate reflection of the actual operating status of the distribution box and reducing misjudgments. Based on the analysis results, the handling strategy can adjust the power distribution status in a timely manner, reducing the risk of anomalies escalating into power distribution faults and ensuring the continuity of power distribution. While retaining the core functions of metering and power distribution, the system enhances the control capabilities of the operating status, better adapting to the operating needs of the distribution box under different load scenarios. Attached Figure Description

[0015] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 This is a schematic diagram of the components of the present invention. Detailed Implementation

[0016] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0017] Furthermore, in this invention, the use of terms such as "first" and "second" is for descriptive purposes only and does not specifically refer to any order or sequence, nor is it intended to limit the invention. They are merely used to distinguish components or operations described using the same technical terms and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the technical solutions and features of the various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. If a combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed by this invention.

[0018] The present invention provides the following embodiments: Example 1: This embodiment of the invention provides a distribution box system, such as... Figure 1 As shown, it includes a metering module, and also includes: Multi-dimensional sensing module: used to detect key parameters during the operation of the distribution box; Power distribution module: Connected between the incoming line terminal and the outgoing line terminals of each branch in the power distribution box, it is used to distribute the power of the power supply module; Correlation Assessment Module: Used to perform correlation analysis on key parameters during the operation of the distribution box and output the analysis results; Response and handling module: Used to execute handling strategies based on analysis results; Intelligent control module: The intelligent control module is electrically connected to the multi-dimensional sensing module, power distribution module, metering module, correlation evaluation module, and response and handling module. The metering module and power distribution module are the existing metering module and power distribution module in the distribution box; Optionally, the metering module includes: Sampling Unit: Equipped with metering-grade voltage transformers and current transformers, it is used to accurately acquire the raw current and voltage signals of the power distribution circuit. The sampling frequency is adapted to the processing requirements of the metering chip to ensure the integrity and accuracy of the signal. Electricity metering unit: Integrates a high-precision metering chip, and converts the raw signal collected by the sampling unit into metering-grade electricity data through analog-to-digital conversion and harmonic compensation algorithm. Specifically, it includes the active power, reactive power, cumulative active energy, cumulative reactive energy and real-time power factor of each circuit. The data accuracy meets the relevant national standards for electricity metering instruments. Data storage unit: It adopts non-volatile storage media (such as Flash) for long-term storage of metering-level electrical energy data, supports classified storage according to preset periods (such as hours, days), and retains at least 180 days of historical data. It also has a data power loss protection function to avoid data loss due to abnormal power outages. Data interaction subunit: Used to upload metering-level power data to the host computer system in real time, and also supports exporting historical data locally through communication interfaces (such as RS485) to meet the needs of remote meter reading or on-site operation and maintenance.

[0019] The working principle of the above technical solution is as follows: The multi-dimensional sensing module collects key parameters during the operation of the distribution box (such as bus temperature, branch current, voltage, etc.) to provide basic data for monitoring the system's operating status. The correlation assessment module is no longer limited to independent judgment of a single parameter, but performs correlation analysis on multiple parameters to output more accurate operational status assessment results; Based on the analysis results, the response and handling module automatically matches the corresponding execution strategy (such as parameter anomaly warning, adjustment of branch operation parameters (such as adjusting the parameters of the heat dissipation device and adjusting the number of operating loads) and power outage, etc.). The intelligent control module serves as the core hub, electrically connected to the multi-dimensional sensing module, power distribution module, and metering module, etc., to uniformly receive data and transmit instructions, enabling the coordinated operation of each module. It not only completes power distribution through the power distribution module, but also collects power data through the metering module, and simultaneously links the correlation analysis and response and handling modules to complete the dynamic management of the operating status.

[0020] The beneficial effects of the above technical solution are as follows: By using multi-parameter correlation analysis, the limitations of traditional single-parameter monitoring are overcome, which can more accurately reflect the actual operating status of the distribution box and reduce misjudgment of status. Based on the analysis results, the handling strategy can adjust the power distribution status in a timely manner, reduce the risk of abnormalities escalating into power distribution faults, and ensure the continuity of power distribution. While retaining the core functions of metering and power distribution, it enhances the ability to control the operating status, and can better adapt to the operating needs of distribution boxes under different load scenarios.

[0021] Example 2, based on Example 1, the multi-dimensional perception module includes: Circuit acquisition unit: Used to acquire key temperature and voltage analog signals, and current analog signals of the power distribution circuit. These parameters are those of the core electrical components and lines of the power distribution circuit. The multi-dimensional perception module also includes: Busbar Acquisition Unit: Acquires key temperatures of the busbar system through temperature sensors; and acquires analog voltage and current signals of the busbar system by connecting to the busbar system through voltage transformers and current transformers. The critical temperature of the bus system is the surface temperature of the components (including critical components) that are significantly affected by temperature in the bus system. The correlation assessment module includes: Harmonic Analysis Unit: Performs Fourier decomposition on the voltage analog signal and current analog signal of the current time period through a dedicated harmonic analysis chip to determine the voltage harmonic distortion rate and current harmonic distortion rate of the current time period. "Current time period" refers to a "fixed time window" set for the purpose of monitoring and analyzing the parameters of the power distribution system. It is a continuous, cyclical fixed time interval (such as 5 minutes or 10 minutes).

[0022] Excessive distortion rate can cause electrical equipment (such as motors and transformers) to overheat, reduce efficiency, and shorten lifespan. These two indicators can be used to provide early warning of equipment failure risks.

[0023] Current analysis unit: used to determine the current fluctuation coefficient and current redundancy coefficient for the current period by combining the current simulation signal for the current period; The current fluctuation coefficient and current redundancy coefficient for the current period are calculated for both the bus system and the circuit system. The analog current signal is filtered (e.g., low-pass filtered to remove high-frequency interference) and amplified (the small signal is amplified to the input range of the AD converter); the conditioned analog signal is sampled by an analog-to-digital converter (ADC) at a sufficiently high sampling frequency (e.g., ≥2kHz, which needs to cover the main frequency components of the current signal) to obtain a discrete digital sequence. The current fluctuation coefficient of the current distribution circuit = (maximum current value of the current distribution circuit in the current time period - minimum current value of the current distribution circuit in the current time period) ÷ average current value of the current distribution circuit in the current time period; this formula calculates the current of the same electrical component. The current fluctuation coefficient of the current bus system can be calculated using the formula above. Current redundancy factor of current distribution circuit = (maximum allowable current of current distribution circuit - average current of current distribution circuit in current time period) ÷ maximum allowable current of current distribution circuit; this formula calculates the current of the same electrical component. Bus system current redundancy factor = (maximum allowable current of bus system - average current of bus system in current period) ÷ maximum allowable current of bus system; this formula calculates the current of the same electrical component. Thermal analysis unit: used to determine the thermal stress factor of the bus system in the current period by combining the key temperature, voltage harmonic distortion rate, current harmonic distortion rate, current fluctuation coefficient and current redundancy coefficient of the bus system in the current period. Harmonic distortion rate coefficient = Weight 1 × (Voltage harmonic distortion rate ÷ Corresponding maximum allowable voltage harmonic distortion rate) + Weight 2 × (Current harmonic distortion rate ÷ Corresponding maximum allowable current harmonic distortion rate). The sum of weight one and weight two is 1; the core is to match the actual impact of voltage / current harmonics on the system, with larger values ​​indicating greater impact; optional. In different application scenarios, the typical values ​​of weight one (voltage harmonic weight) and weight two (current harmonic weight) are as follows: High-voltage power distribution system (general scenario): Weight 1 is 0.6-0.7, and weight 2 is 0.4-0.3. The reason is that in high-voltage systems, voltage harmonics can cause serious problems such as transformer core overheating and relay protection malfunctions, which have a more prominent impact on system stability; while the heat loss risk of current harmonics is relatively controllable.

[0024] For systems dominated by nonlinear loads (such as frequency converter clusters): weight one is set to 0.1–0.2, and weight two is set to 0.9–0.8. The reason is that nonlinear loads generate a large number of current harmonics, which have an absolutely dominant impact on the system.

[0025] The current period's bus thermal stress factor = the maximum value of the critical temperature coefficient of the bus system × ; The current critical temperature coefficient of the bus system = the current critical temperature of the bus system ÷ the maximum allowable value corresponding to the current critical temperature of the bus system; each critical temperature corresponds to a specific device. The "disturbance thermal stress amplification factor" (with a value greater than 0 and less than 2) is obtained through experimental verification and fitting of actual operating data. It quantifies the additional amplification of thermal stress by "harmonics + current fluctuations". The specific acquisition process is as follows: Laboratory simulation experiment: For target devices (such as busbars and connectors) in the bus system, test their actual thermal stress (such as temperature rise rate and material stress change) under different combinations of "harmonic distortion rate + current fluctuation coefficient", and record the correspondence between "disturbance parameter combination" and "actual thermal stress amplification factor". On-site operating condition calibration: Collect "disturbance parameters + thermal stress data" of the same device under different load scenarios in actual power distribution systems, calibrate the amplification factor obtained from the test, and eliminate the difference between the laboratory and the actual scenario; Data fitting: Using “harmonic distortion rate coefficient × current fluctuation coefficient” as input and “actual thermal stress amplification factor” as output, the mapping relationship of “disturbance thermal stress amplification factor” adapted to the device is obtained by fitting.

[0026] middle: Harmonic distortion rate coefficient: reflects the degree to which harmonics amplify heat loss (the larger the coefficient, the more additional heat loss caused by harmonics); Current fluctuation coefficient: reflects the degree of current instability (the larger the coefficient, the more severe the current fluctuation, and the more obvious the impact of thermal stress fluctuation); Harmonic distortion rate coefficient × Current fluctuation coefficient reflects the driving factors of thermal stress brought about by the combined effects of "harmonics + current fluctuations". The denominator reflects the safe buffering capacity of thermal stress—the larger the redundancy coefficient, the larger the denominator, and the smaller the final thermal stress factor (representing lower risk).

[0027] Current harmonics directly amplify the actual current, increasing heat generation (heat loss) in the equipment—this is the core reason for increased thermal stress. Voltage harmonics indirectly affect the load's operating state (for example, causing nonlinear loads to generate more additional current), ultimately increasing heat generation by "increasing current," further pushing up thermal stress. The "harmonic distortion rate coefficient" combines and quantifies the effects of current and voltage harmonics. The higher the coefficient, the more additional heat generation caused by the combined effects of current and voltage harmonics, and the stronger the thermal stress.

[0028] When the current fluctuates violently, the equipment's heat generation will "go up and down" and the temperature will also fluctuate rapidly. The material repeatedly expands and contracts with heat, which is equivalent to continuously bearing "impact stress". The more violent the fluctuation (the larger the current fluctuation coefficient), the more serious the thermal stress damage caused by this cyclic impact.

[0029] The thermal stress factor combines the "actual temperature state of the device" with "indirect thermal influencing factors (harmonics, fluctuations, etc.)" to achieve "precise assessment based on actual temperature + factors", resulting in accurate thermal risk assessment.

[0030] The thermal stress factor of the power distribution circuit during the current period is determined by combining the key temperature, voltage harmonic distortion rate, current harmonic distortion rate, current fluctuation coefficient, and current redundancy coefficient of the power distribution circuit during the current period. The method for determining the thermal stress factor of the power distribution circuit is the same as that for the bus system described above.

[0031] Thermal load analysis unit: Combines the thermal stress factor of the busbar, the thermal stress factor of the distribution circuit, and the current redundancy coefficient of the distribution circuit to determine the thermal-load state coefficient of the distribution circuit. The thermal-load state coefficient of the power distribution circuit = (thermal stress factor of the power distribution circuit × thermal stress weight 1 + thermal stress factor of the bus × thermal stress weight 2) ÷ (1 + current redundancy coefficient of the power distribution circuit). Thermal stress weight 1 (usually taken as 0.6 to 0.8): represents the contribution of the thermal stress of the power distribution circuit itself - the thermal risks brought about by the circuit's own heat loss, harmonics and other factors, which are the core factors affecting the circuit's condition.

[0032] Thermal stress weight 2 (usually taken as 0.4 to 0.2): represents the indirect impact of busbar thermal stress—the busbar is the power supply carrier of the circuit, and excessive busbar thermal stress will affect the stability of power supply, thereby indirectly aggravating the thermal load pressure of the circuit. The sum of thermal stress weight 1 and thermal stress weight 2 is 1; The response and handling module includes an early warning unit: used to issue an early warning when any of the bus thermal stress factor, circuit thermal stress factor, and thermal-load state coefficient is outside the corresponding allowable range (the allowable range of each indicator needs to be determined in conjunction with the equipment standards, industry specifications, and scenario characteristics of the power distribution system, such as: for general scenarios adapted to high-voltage power distribution systems: bus thermal stress factor ≤ 0.7, circuit thermal stress factor ≤ 0.65, thermal-load state coefficient ≤ 0.6); and when any of the key temperature, voltage harmonic distortion rate, current harmonic distortion rate, current fluctuation coefficient, and current redundancy coefficient is outside the corresponding allowable range, an early warning is issued through early warning unit two.

[0033] 1. If the "bus / circuit thermal stress factor" exceeds the standard (the core issue is heat reduction); Temporary measures: Prioritize reducing the load on the corresponding circuit (e.g., shutting down non-essential equipment) to reduce current and thus reduce heat loss; if the ambient temperature is high, turn on the heat dissipation devices (fans, heat sinks) of the distribution box.

[0034] Long-term measures: Inspect the harmonic sources (such as replacing the nonlinear load with a low-harmonic device), or install harmonic mitigation devices (filters); check for poor contact in the busbars / circuits (high contact resistance exacerbates heat generation), and tighten the connections.

[0035] 2. If the "thermal-load condition coefficient" exceeds the standard (the core is load reduction + buffering); Temporary measures: Emergency adjustment of load distribution (such as transferring some load to other redundant circuits) to increase the current redundancy factor of the current circuit.

[0036] Long-term measures: Assess the circuit load capacity and expand it if necessary (replace busbars / circuit devices with larger rated current) to reserve more load buffer space.

[0037] The beneficial effects of the above technical solution are as follows: By calculating the distortion rate coefficient using both voltage and current harmonics, the core risk of "direct heating from current harmonics" is addressed, while the hidden risk of "indirectly inducing additional current from voltage harmonics" is also taken into account. Furthermore, by combining the "current fluctuation coefficient" to capture the "impact damage" of thermal stress, compared to traditional solutions that only monitor temperature, the potential risk of **"temperature not exceeding the threshold but heat loss already abnormal"** can be identified in advance, preventing premature aging of equipment due to "hidden thermal fatigue".

[0038] The thermal-load state coefficient integrates "thermal stress + current redundancy" and can distinguish between different risk levels of "high temperature but loose load" and "high temperature and full load". When thermal stress is high but load redundancy is sufficient, excessive warnings can be avoided. When both thermal and load are critical, high-level warnings are triggered first, which reduces "false alarm interference" and ensures that the equipment operates efficiently within the safety boundary.

[0039] Traditional solutions require waiting until equipment temperature exceeds the limit or malfunctions before taking action. However, this solution, through advance prediction of "harmonics + fluctuations + redundancy", can advance the early warning window for thermal faults from "hours" to "days", avoiding production / power supply interruption losses caused by sudden equipment shutdowns.

[0040] The thermal-load state coefficient also incorporates the indirect effects of "bus thermal stress" (for example, bus overheating can cause fluctuations in circuit power supply voltage, which in turn exacerbates circuit heat loss), avoiding the blind spot of "only looking at the circuit and ignoring the associated risks of the bus" and achieving full-link risk coverage of the power distribution system.

[0041] Example 3, based on Example 2, further includes a dynamic current limiting adjustment module: including: Load disturbance analysis unit: Determines the load disturbance factor of the current distribution circuit for the current period based on the voltage harmonic distortion rate, current harmonic distortion rate, current fluctuation coefficient, and current redundancy coefficient of the current distribution circuit for the current period. The load disturbance factor of the current distribution circuit in the current time period = the harmonic distortion rate coefficient of the current distribution circuit in the current time period × the current fluctuation coefficient of the current distribution circuit in the current time period ÷ (1 + the current redundancy coefficient of the current distribution circuit in the current time period). Current limiting disturbance analysis unit: Based on the historical current limiting stability time of the current distribution circuit under the current load and the load disturbance factor of the current distribution circuit in the current time period, the current limiting disturbance coefficient of the current distribution circuit in the current time period is determined. Historical current-limiting stabilization time under current load in the current distribution circuit: This refers to the duration from current-limiting initiation to the stabilization of parameters such as current and temperature within a safe range after a current-limiting adjustment operation was performed in the past, under the same load type / power scenario. Its core is "matching historical references for the current load scenario"—for example, if the current circuit carries a motor load of a certain power, the time taken for the system to go from "current fluctuation → stable operation" after current-limiting adjustment under that motor load is retrieved to reflect the "stability capability" of the current-limiting system under that load.

[0042] The current limiting disturbance factor of the current distribution circuit in the current time period = the load disturbance factor of the current distribution circuit in the current time period × (1 - (the historical current limiting stability time under the current load of the current distribution circuit ÷ the maximum allowable value of the current limiting stability time)). By combining the "real-time disturbance level of the current load" with the "stability capability of historical current limiting", the instability risk of the current limiting system under the current load is quantified: The maximum allowable duration of current limiting stability is: "The longest duration of current limiting stability allowed by industry / equipment standards for the corresponding load type". The current limiting current of the current distribution circuit is determined by combining the current limiting disturbance coefficient, the thermal-load state coefficient, and the rated current of the current distribution circuit (the higher the risk, the lower the limiting current is compared to the rated value).

[0043] Decision unit: Used to determine adjustment strategies based on the current limiting current of the current distribution circuit; Compare the current actual current of the current circuit with the current limit. If the actual current exceeds the current limit, automatically disconnect unnecessary loads (or push "load reduction suggestions" to maintenance personnel) to reduce the current to within the current limit. If the current limit is less than 80% of the rated current: a "high-risk warning" is triggered, prompting maintenance personnel to investigate the source of load disturbance (such as harmonic equipment). If the current limit is between 80% and 95% of the rated current: trigger a "medium risk warning" and it is recommended to strengthen load fluctuation monitoring.

[0044] The current limiting current of the current distribution circuit = the rated current of the current distribution circuit × (1 - the current limiting disturbance coefficient of the current distribution circuit in the current time period × "thermal-load state coefficient" × current limiting coefficient). The current limiting coefficient (with a value greater than 0 and less than 1) is a characteristic coefficient adapted to a specific circuit, obtained through experimental verification and fitting with actual operating data. The core acquisition process is as follows: Step 1: Conduct load simulation tests: Simulate different load scenarios (covering light load, full load, and fluctuating load) for the target power distribution circuit in the laboratory / no-load conditions, and simultaneously collect "current limiting disturbance coefficient, thermal-load state coefficient, and actual safe operating current". Step 2: Fault boundary test: Gradually increase the load and record the critical current at which the circuit exhibits thermal anomaly / current limiting instability when the "current limiting disturbance coefficient × thermal-load state coefficient" reaches different thresholds; Step 3: Data Fitting and Verification: With the "ratio of critical current to rated current" as the target, fit the relationship between "current limiting disturbance coefficient × thermal-load state coefficient" and "safe current reduction" to obtain the initial current limiting coefficient; then substitute this coefficient into the actual operating scenario, continuously track for 1 to 3 months, and finally determine the current limiting coefficient based on the stability of actual operation (retain if there are no abnormalities, and fine-tune if risks occur).

[0045] The beneficial effects of the above technical solution are as follows: Traditional current limiting is triggered only by "current exceeding the rated value", while this solution quantifies "the impact of load disturbance on current limiting instability" by "load disturbance factor + historical current limiting stability time", and combines "thermal-load state coefficient" to associate thermal risk - which can achieve "dynamic adjustment of current limiting threshold under different load disturbance intensities" (such as automatic reduction of current limiting threshold under high disturbance load), avoiding "overload risk / resource waste caused by static current limiting".

[0046] Traditional current limiting passively disconnects the load after the current exceeds the limit. This solution identifies high-risk load scenarios in advance by "identifying load disturbance factors in advance" and predicts the stability after current limiting by "historical current limiting stability duration". When "the current does not exceed the limit but the disturbance has increased", the limiting current can be reduced in advance and unnecessary loads can be cut off. This transforms "post-fault handling" into "pre-risk intervention" and reduces the lifespan loss of equipment caused by "frequent current limiting impacts".

[0047] Example 4, based on any one of Examples 1-3, the multi-dimensional perception module includes: Circuit acquisition unit: used to acquire key temperature and voltage analog signals, and current analog signals of power distribution circuits; The distribution box system also includes a load assessment and adjustment module, which includes: Load analysis unit: used to determine the current fluctuation coefficient of the power distribution circuit in the current period by combining the current simulation signal of the power distribution circuit in the current period; to determine the voltage fluctuation coefficient of the power distribution circuit in the current period by combining the voltage simulation signal of the power distribution circuit in the current period; and to determine the load fluctuation coefficient of the power distribution circuit in the current period by combining the current fluctuation coefficient and the voltage fluctuation coefficient of the power distribution circuit in the current period. Fluctuation-Power Joint Analysis Unit: Used to determine the fluctuation power coefficient of the distribution circuit for the current period based on the load fluctuation coefficient and load power of the distribution circuit for the current period; Runtime analysis unit: used to determine the duration attenuation coefficient corresponding to each loop load based on the remaining runtime of each loop load and the preset "runtime-duration attenuation coefficient model"; Correlation Analysis Unit: Analyzes the electrical correlation and degree of correlation of the loads in each power distribution circuit, and determines the group of related circuits; Priority adjustment unit: used to redetermine the load priority coefficient of each distribution circuit in the associated circuit group by combining the duration attenuation coefficient of each circuit load, the power fluctuation coefficient of the distribution circuit and the current redundancy coefficient. When it is determined that the power distribution circuit needs to be pre-adjusted, the strategy of "prioritizing the adjustment of low-priority loads + coordinating the adaptation of related circuits" is implemented.

[0048] Voltage fluctuation coefficient of the distribution circuit in the current period = (maximum voltage of the distribution circuit in the current period - minimum voltage of the distribution circuit in the current period) ÷ average voltage of the distribution circuit in the current period; Load fluctuation coefficient of the power distribution circuit during the current period = ; The above coefficients are all "comprehensive operating parameters" based on the "entire circuit". The voltage of the distribution circuit is the bus voltage / phase voltage at the output terminal of the circuit (i.e., the unified voltage that the circuit supplies to all loads, and all loads in the circuit share this voltage); the current of the distribution circuit is the total current in the phase line of the circuit (i.e., the sum of the operating currents of all loads in the circuit, which is the total current used when all loads are running at the same time).

[0049] The power fluctuation coefficient of the distribution circuit in the current period = the load fluctuation coefficient of the distribution circuit in the current period × the average power of the distribution circuit in the current period ÷ the rated power of the distribution circuit; This formula quantifies both the "intensity of voltage / current fluctuations" and the "power carrying capacity of the load"—the larger the coefficient, the higher the operational risk (such as overheating, equipment damage) caused by voltage / current fluctuations in the circuit under high power conditions.

[0050] To address the need to "avoid excessive long-term loads that could consume priority weight," and considering the actual operating characteristics of the load, the load duration is divided into multiple intervals, with corresponding duration attenuation coefficients set (the coefficient being the "discount ratio of the duration dimension weight"). For example, for residential loads (such as lighting / sockets): Short duration (≤2h): Duration attenuation coefficient is 1 (no attenuation of load weight for short-term operation); Medium duration (2-8 hours): Duration decay coefficient = 0.8 → 80% of the weight of the duration dimension is retained (the weight of the medium-term operating load is slightly reduced); Long duration (≥8h): Duration attenuation coefficient = 0.5 → Only 50% of the weight of the duration dimension is retained (the weight of long-term operation load is significantly reduced).

[0051] Based on the remaining runtime of the current loop load, refer to the "Runtime-Duration Attenuation Coefficient Model (which can be a mapping table)" to determine the duration attenuation coefficient corresponding to the remaining runtime of the current loop load; The correlation analysis unit can be implemented in the following ways: Real-time acquisition of two types of core data for each power distribution circuit: voltage fluctuation curve: records the voltage change trend of each circuit within a certain period (such as the duration and amplitude of voltage fluctuation from 380V to 375V); current change trend: records the time and amplitude of the peak and valley current values ​​of each circuit during the same period.

[0052] Analyze electrical correlation: For any two circuits, determine the degree of correlation from two dimensions: voltage fluctuation synchronicity: Statistically determine the percentage of time during which the voltage of the two circuits "rises / falls simultaneously" within a certain period (the higher the percentage, the stronger the voltage correlation); current change correlation: Statistically determine the percentage of times during which the peak / valley values ​​of the current of the two circuits occur at the same time within the same period (the higher the percentage, the stronger the current correlation).

[0053] Determine the correlation coefficient: Based on the proportion of the above two dimensions, classify the degree of correlation between the loops: if the voltage synchronization ratio is ≥80% and the current change matching ratio is ≥70%, it is determined to be "strong correlation". If voltage synchronization accounts for 60% to 80% or current change matching accounts for 50% to 70%, it is judged as "weak correlation"; If both percentages are below the above thresholds, it is determined to be "unrelated".

[0054] Current load priority coefficient = priority weight 1 × (1 - current load duration attenuation coefficient) + priority weight 2 × power fluctuation coefficient of the distribution circuit corresponding to the current load + priority weight 3 × current redundancy coefficient of the distribution circuit corresponding to the current load; The sum of priority weight one, priority weight two, and priority weight three is 1. The more important the corresponding coefficient, the greater the weight. The weights can be flexibly set according to the actual scheduling objectives: for example: Emphasis on "runtime balancing": Weight 1 = 0.4, Weight 2 = 0.3, Weight 3 = 0.3 (to make runtime have a greater impact on priority and avoid long-term load dominance). Emphasis on "operational stability": Weight 1 = 0.2, Weight 2 = 0.5, Weight 3 = 0.3 (giving higher priority to loads with small power fluctuations); Emphasis is placed on "load carrying safety": Weight 1 = 0.2, Weight 2 = 0.3, Weight 3 = 0.5 (giving higher priority to loads with large remaining carrying capacity).

[0055] Examples of strategies are as follows: In a certain office building's power distribution box, circuit G has a high-priority load of "office staff computers (requires stable power supply)" and a low-priority load of "coffee machine in the lounge area (can temporarily reduce power)". The associated circuit H is "lounge area lighting (shares the same power supply logic as the coffee machine)".

[0056] When circuit G experiences "current overload (total load exceeds rated by 10%)" and parameter adjustment is required: Secondary load priority parameter adjustment: Prioritize adjusting the parameters of low-priority coffee machines—reduce their heating power from 1500W to 1000W (while still being able to work normally), reduce the total current of circuit G, and at the same time do not adjust the power supply parameters of the computers in the office area to ensure normal office work for employees; The influence of the associated circuit on adaptation: After the coffee machine reduces its power, the electrical load in the leisure area decreases, which may cause a slight increase in the lighting voltage of the associated circuit H (affecting the life of the lamps). Therefore, the lighting voltage threshold of circuit H is adjusted synchronously (from 220V to 218V) to offset the impact of voltage fluctuations and ensure stable lighting.

[0057] The beneficial effects of the above technical solution are as follows: By quantifying the dual risks of "load intensity + parameter fluctuation" through the "fluctuation power coefficient" (the larger the coefficient, the higher the risk), it can identify "voltage / current fluctuations under high load" in advance (for example, if the load power of a certain circuit reaches 80% of the rated power and the voltage fluctuation exceeds 5%, the system will issue an early warning), avoiding the missed judgments caused by the traditional "only looking at the single indicator of current / voltage", and preventing faults such as overload and overheating in advance.

[0058] The duration attenuation coefficient avoids "long-term load monopolizing priority" (e.g., the priority of a long-running ordinary lighting load will decrease with the duration of operation), making it easier for core loads (such as fire protection and servers) to be guaranteed when resources are scarce; the "strong / weak correlation" determination of associated circuits can avoid cascading fluctuations caused by single-circuit parameter adjustment (e.g., when adjusting the parameters of a certain circuit, the circuits sharing the bus should be adapted simultaneously to reduce the risk of sudden changes in bus voltage), improving the overall stability of the system. The quantitative calculation of load priority (combining duration, fluctuation, and current redundancy) makes parameter adjustment decisions "quantifiable and free from subjective bias," reducing the error rate of manual judgment; the division of associated circuit groups and the recording of abnormal data can generate "precise operation and maintenance reports" (e.g., "a strongly correlated circuit group has experienced multiple fluctuations, it is recommended to check the bus contact"), transforming operation and maintenance from "blind inspection" to "targeted maintenance," which can reduce labor costs.

[0059] Example 5, based on Example 4, further includes the load assessment and adjustment module: Pre-adjustment analysis unit: used to determine the pre-adjustment parameter adjustment amount of the distribution circuit based on the fluctuation power coefficient and current redundancy coefficient of the distribution circuit (referring to the change range of parameters during pre-adjustment (e.g., the adjustment amount is 0.5kW when the load power drops from 10kW to 9.5kW)). The pre-setting parameters of the power distribution circuit include any one of the following: load-side parameters (load power), environmental-side parameters (such as heat dissipation power), and fluctuation suppression parameters (such as voltage fluctuation compensation); The pre-adjustment analysis unit is a functional unit that makes small forward adjustments to parameters before the warning is triggered. Its core is to combine the "fluctuation risk trend" and "current load margin" of the loop to determine a safe micro-adjustment step size, so as to mitigate the risk in advance and avoid triggering the warning. The adjustment amount of the pre-adjustment parameter of the power distribution circuit = the current actual value of the current pre-adjustment parameter of the power distribution circuit × (1 - fluctuation power coefficient) × current redundancy coefficient × pre-adjustment coefficient; "The adjustment direction is determined by the parameter type"; The pre-adjustment coefficient is determined by a mapping table (based on experimental calibration) for the fluctuation power coefficient range, current redundancy coefficient range, and pre-adjustment coefficient value of each distribution circuit. For different circuits with different combinations of "fluctuation power coefficient + current redundancy coefficient," the value of the pre-adjustment coefficient is tested to determine "what value of pre-adjustment coefficient can effectively mitigate risks without inducing new parameter fluctuations." The experimental results are then compiled into a mapping table.

[0060] 1. The current load power of a certain circuit is 15kW, the power fluctuation factor is 0.7 (approaching the warning level), the current redundancy factor is 0.3 (with 30% remaining capacity), and the pre-adjustment factor is 0.5. Adjustment amount = 0.675kW; Adjusted load power = 15kW - 0.675kW = 14.325kW (a slight reduction in power to mitigate overload risk).

[0061] 2. The current voltage fluctuation compensation value for a certain circuit is 2V, the fluctuation power factor is 0.5, the current redundancy factor is 0.3, and the pre-adjustment factor is 0.5. Adjustment amount = 0.15V; Adjusted compensation value = 2V + 0.15V = 2.15V (Slightly increase compensation to reduce voltage fluctuation).

[0062] The beneficial effects of the above technical solution are as follows: by making "micro-adjustments before early warning", the risk of loop fluctuations is brought forward from "triggering alarms" to "proactive intervention", avoiding equipment overload, overheating and other failures caused by parameter fluctuations, and reducing the probability of loop downtime; the pre-adjustment coefficient is determined based on the "experimentally calibrated mapping table", combined with objective parameters of fluctuation risk and load margin, ensuring that the adjustment range can effectively alleviate the risk, and will not cause new parameter fluctuations due to excessive adjustment, thus achieving "safe micro-adjustment".

[0063] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A distribution box system, comprising a metering module, characterized in that: Also includes: Multi-dimensional sensing module: used to detect key parameters during the operation of the distribution box; Power distribution module: Connected between the incoming line terminal and the outgoing line terminals of each branch in the power distribution box, it is used to distribute the power of the power supply module; Correlation Assessment Module: Used to perform correlation analysis on key parameters during the operation of the distribution box and output the analysis results; Response and handling module: Used to execute handling strategies based on analysis results; Intelligent control module: The intelligent control module is electrically connected to the multi-dimensional sensing module, power distribution module, metering module, correlation evaluation module, and response and handling module.

2. The distribution box system according to claim 1, characterized in that: The metering module includes: Sampling unit: used to collect raw current and voltage signals of the power distribution circuit; Electricity metering unit: integrates a metering chip to convert the raw signals collected by the sampling unit into metering-grade electricity data; Data storage unit: Used to store metering-level electrical energy data.

3. A distribution box system according to claim 2, characterized in that: Metered-level energy data includes at least one of the following: active power, reactive power, cumulative active energy, cumulative reactive energy, and real-time power factor.

4. A distribution box system according to claim 2, characterized in that: The metering module also includes: Data interaction subunit: used to upload metering-level electrical energy data to the host computer system in real time.

5. A distribution box system according to claim 1, characterized in that: The multi-dimensional perception module includes: Circuit acquisition unit: used to acquire key temperature and voltage analog signals, and current analog signals of power distribution circuits; Busbar acquisition unit: Used to acquire key temperature and voltage analog signals, and current analog signals of the busbar system.

6. A distribution box system according to claim 5, characterized in that: The bus acquisition unit collects key temperatures of the bus system through temperature sensors; it also connects to the bus system through voltage transformers and current transformers to collect analog voltage and current signals of the bus system.

7. A distribution box system according to claim 5, characterized in that: The correlation assessment module includes: Harmonic Analysis Unit: Performs Fourier decomposition on the voltage analog signal and current analog signal of the current time period through a dedicated harmonic analysis chip to determine the voltage harmonic distortion rate and current harmonic distortion rate of the current time period. Current analysis unit: used to determine the current fluctuation coefficient and current redundancy coefficient for the current period by combining the current simulation signal for the current period; Thermal analysis unit: used to determine the thermal stress factor of the bus system in the current period by combining the key temperature, voltage harmonic distortion rate, current harmonic distortion rate, current fluctuation coefficient and current redundancy coefficient of the bus system in the current period. The thermal stress factor of the power distribution circuit during the current period is determined by combining the key temperature, voltage harmonic distortion rate, current harmonic distortion rate, current fluctuation coefficient, and current redundancy coefficient of the power distribution circuit during the current period. Thermal load analysis unit: Combines the thermal stress factor of the busbar, the thermal stress factor of the distribution circuit, and the current redundancy coefficient of the distribution circuit to determine the thermal-load state coefficient of the distribution circuit. The response and handling module includes: Early warning unit: Used to issue an early warning when any of the bus thermal stress factor, circuit thermal stress factor, or thermal-load state coefficient is outside the corresponding allowable range.

8. A distribution box system according to claim 7, characterized in that: It also includes a dynamic rate limiting adjustment module: including: Load disturbance analysis unit: Determines the load disturbance factor of the current distribution circuit for the current period based on the voltage harmonic distortion rate, current harmonic distortion rate, current fluctuation coefficient, and current redundancy coefficient of the current distribution circuit for the current period. Current limiting disturbance analysis unit: Based on the historical current limiting stability time of the current distribution circuit under the current load and the load disturbance factor of the current distribution circuit in the current time period, the current limiting disturbance coefficient of the current distribution circuit in the current time period is determined. Current limiting determination unit: Combines the current limiting disturbance coefficient, thermal-load state coefficient, and rated current of the current distribution circuit to determine the current limiting current of the current distribution circuit; Decision unit: Used to determine adjustment strategies based on the current limiting current of the current distribution circuit.

9. A distribution box system according to claim 1, characterized in that: The multi-dimensional perception module includes: Circuit acquisition unit: used to acquire key temperature and voltage analog signals, and current analog signals of power distribution circuits; The distribution box system also includes a load assessment and adjustment module, which includes: Load analysis unit: used to determine the current fluctuation coefficient of the power distribution circuit in the current period by combining the current simulation signal of the power distribution circuit in the current period; to determine the voltage fluctuation coefficient of the power distribution circuit in the current period by combining the voltage simulation signal of the power distribution circuit in the current period; and to determine the load fluctuation coefficient of the power distribution circuit in the current period by combining the current fluctuation coefficient and the voltage fluctuation coefficient of the power distribution circuit in the current period. Fluctuation-Power Joint Analysis Unit: Used to determine the fluctuation power coefficient of the distribution circuit for the current period based on the load fluctuation coefficient and load power of the distribution circuit for the current period; Runtime analysis unit: used to determine the duration attenuation coefficient corresponding to each loop load based on the remaining runtime of each loop load and the preset "runtime-duration attenuation coefficient model"; Correlation Analysis Unit: Analyzes the electrical correlation and degree of correlation of the loads in each power distribution circuit, and determines the group of related circuits; Priority adjustment unit: used to redetermine the load priority coefficient of each distribution circuit in the associated circuit group by combining the duration attenuation coefficient of each circuit load, the power fluctuation coefficient of the distribution circuit and the current redundancy coefficient. When it is determined that the power distribution circuit needs to be pre-adjusted, the strategy of "prioritizing the adjustment of low-priority loads + coordinating the adaptation of related circuits" is executed.

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