A power consumption load adaptive regulation method and system for an electric energy metering box

Abstract

The application provides a power consumption load adaptive regulation method and system for an electric energy metering box, wherein the method comprises the following steps: acquiring real-time load power of a plurality of power supply branch circuits and global physical temperature; when the total power is in a safe interval and the temperature exceeds a pre-warning threshold, cutting off a target branch circuit; extracting an actual cooling track, and measuring a metering box real-time physical heat dissipation rate; combining an available temperature rise space and an inherent heat capacity constant to deduce a residual heat quantity receiving margin; intercepting a to-be-closed branch circuit reset request, and extracting an estimated injected heat energy; selecting a branch circuit with the estimated injected heat energy lower than the margin to implement physical absorption; and putting the remaining branch circuits into a staggered peak queue, and gradually releasing them one by one after the margin is gradually recovered by real-time heat dissipation. The application can realize closing staggered peak regulation according to heat capacity, and effectively prevent cascading tripping caused by overlapping thermal shocks.

Description

Technical Field

[0001] This invention relates to the field of power distribution automation and intelligent control technology, and in particular to an adaptive load control method and system for power metering boxes. Background Technology

[0002] As the physical hub for centralized load distribution in the underlying power distribution network, the power metering box generates Joule heat continuously during power transmission due to the core busbar and various power supply branch circuits deployed within it. In the relatively enclosed environment of the distribution box, with the increase in the number of mounted electrical devices and frequent fluctuations in electrical load, the interior of the box often faces a situation where heat accumulates, leading to an increase in ambient temperature. Conventional power distribution safety monitoring mechanisms mainly provide state protection by setting fixed over-limit action thresholds for electrical parameters such as overall load current or single-circuit voltage. When the overall load of the metering box does not exceed the rated current carrying capacity, but the internal temperature remains persistently high due to limited heat dissipation, adaptive system intervention based on real-time physical heat dissipation status is rarely implemented.

[0003] During regional power outages and restorations or peak daily electricity consumption periods, numerous branch circuits mounted on electricity metering boxes often face the need for concentrated concurrent startup. The inrush current generated by electrical loads during cold startup releases high-density transient heat into the box within a short period. Existing control systems, when handling concurrent closing actions of multiple branch circuits, often rely on pre-defined electrical conditions for unified release, typically failing to consider the actual physical heat dissipation rate of the box and the available heat margin within it as evaluation indicators for peak-shaving scheduling. This concentrated closing method easily leads to the convergence and superposition of startup thermal shocks from multiple loads within a short time, potentially causing local ambient temperatures to exceed insulation tolerance limits, thereby triggering thermal protection components to trip and inducing cascading power outages.

[0004] During long-term field operation, electricity metering boxes are prone to aging conditions such as degradation of internal wire insulation and blockage of external convection cooling pores. These factors cause the actual heat dissipation efficiency of the equipment to deviate from its original factory specifications. Current operating strategies often rely on pre-configured static parameter models for monitoring and evaluation, typically lacking a closed-loop correction mechanism based on actual physical temperature rise feedback. When the actual heat capacity of the physical equipment shrinks, continuing to use the initial parameter allocation for heat safety boundaries can easily deviate from the equipment's current actual tolerance level, which is detrimental to the long-term stable operation of the underlying power distribution infrastructure. Summary of the Invention

[0005] The purpose of this invention is to provide an adaptive load control method and system for electricity metering boxes, in order to solve the technical problems of existing technologies in dealing with concurrent reset and closing of multiple branch circuits, which are caused by the failure to combine the dynamic heat dissipation rate and heat receiving space of the equipment for peak scheduling, resulting in overlapping transient thermal shocks and cascading tripping, and the inability of static control parameters to adapt to the aging and degradation of the equipment during long-term operation.

[0006] In a first aspect, the present invention provides an adaptive load control method for electricity metering boxes, comprising: The real-time load power and global physical temperature of multiple power supply branch circuits inside the power metering box are obtained; The total power is obtained by summing up the real-time load power of each load. When the total power obtained by summing up is within the safe range and the global physical temperature exceeds the warning threshold, the target branch circuit is cut off. Extract the actual cooling trajectory after the cut-off action is performed, and calculate the real-time physical heat dissipation rate of the power metering box; The available temperature rise margin is obtained by subtracting the current global physical temperature from the ultimate tolerance temperature. Combined with the inherent heat capacity constant and the real-time physical heat dissipation rate, the remaining heat acceptance margin within the look-ahead time window is deduced. Intercept the branch loop that initiates a reset request and extract the start-up Joule heat accumulated in the past start-up phase of each branch loop as the estimated injected heat energy. Physical attraction is performed on the branch loops corresponding to the estimated injected heat energy being lower than the remaining heat acceptance margin. The remaining unengaged branch circuits are included in the staggered queue. The remaining heat acceptance margin is gradually restored by relying on the real-time physical heat dissipation rate. Once the remaining heat acceptance margin is greater than or equal to the estimated injected heat energy, they are released one by one to prevent cascading tripping caused by overlapping thermal shocks.

[0007] Optionally, obtaining the real-time load power and global physical temperature of multiple power supply branch circuits inside the power metering box includes: The effective values ​​of current and voltage are read by metering chips configured on the input side of each of the power supply branch circuits; The real-time load power is output by multiplying the effective value of the current and the effective value of the voltage. The global physical temperature is generated by using digital thermal sensing nodes deployed in the core busbar area inside the power metering box to read temperature values ​​at a preset acquisition frequency.

[0008] Optionally, the step of aggregating the real-time load power to obtain the total power, and cutting off the target branch circuit when the aggregated total power is within a safe range and the global physical temperature exceeds the warning threshold, includes: The total power is calculated by summing the real-time load power at the same time point; By comparing the real-time load power corresponding to all the power supply branch circuits, the power supply branch circuit with the largest value is located. Access the service importance level parameters bound to the power supply branch circuit; When it is confirmed that the business importance level parameter is not at the core security protection level, the power supply branch circuit is identified as the target branch circuit, and a physical disconnection level is sent to the electromagnetic trip unit corresponding to the target branch circuit.

[0009] Optionally, the step of extracting the actual cooling trajectory after the cut-off action and calculating the real-time physical heat dissipation rate of the power metering box includes: After the cutting action is performed, the global physical temperature is continuously read at time intervals to form a smoothly decreasing temperature sequence. Extract the absolute temperature difference between the first and last temperature measurement nodes from the smoothly decreasing temperature sequence, and divide the absolute temperature difference by the physical time elapsed to obtain the slope value that exhibits linear cooling characteristics. By combining the external surface area and material thermal resistance parameters of the power metering box, which is pre-imported with local non-volatile data storage media, the slope value is converted into the real-time physical heat dissipation rate, which characterizes the rate at which heat is dissipated outward, based on the heat transfer calculation model.

[0010] Optionally, the step of subtracting the current global physical temperature from the ultimate tolerance temperature to obtain the available temperature rise margin, and combining the inherent heat capacity constant with the real-time physical heat dissipation rate to extrapolate the remaining heat absorption margin within the look-ahead time window, includes: The expected natural heat loss is calculated by multiplying the real-time physical heat dissipation rate with the duration covered by the look-ahead time window. Multiply the available temperature rise space by the inherent heat capacity constant to obtain the static temperature rise heat capacity. Perform a summation and addition operation on the expected natural heat loss and the static temperature rise heat absorption, and output the remaining heat absorption margin.

[0011] Optionally, extracting the accumulated Joule heat from the previous startup phases of each of the branch loops to be closed as the estimated injected heat energy includes: The peak value of the inrush current and the duration of the inrush current were retrieved for each of the branch circuits to be closed at the moment of cold-state energization in the past. Extract the impedance parameters of the metal wires included in each of the branch loops to be closed; Based on the electrothermal conversion calculation logic, the square of the peak value of the magnetizing inrush current, the impedance parameter of the metal wire, and the duration of the magnetizing inrush current are multiplied together to obtain the basic heat generation. The baseline heat generation is set to the estimated injected heat energy.

[0012] Optionally, selecting the branch loop corresponding to the estimated injected heat energy being lower than the remaining heat acceptance margin for physical attraction includes: Establish a thermal shock comparison sequence for each of the aforementioned branch loops to be closed; Within the thermal shock comparison sequence, it is determined one by one whether the corresponding estimated injected thermal energy can be contained by the remaining heat acceptance margin. When there are multiple branch circuits with containment conditions, the primary circuit to be released is selected from high to low according to the preset power restoration priority level. A conduction drive pulse is sent to the pull-in coil built into the primary release circuit to ensure the circuit is connected, and the estimated injected heat energy consumed is simultaneously deducted from the remaining heat acceptance margin.

[0013] Optionally, the step of including the remaining unengaged branch loops in the staggered queue, gradually restoring the remaining heat acceptance margin based on the real-time physical heat dissipation rate, and releasing them one by one after the remaining heat acceptance margin is greater than or equal to the estimated injected heat energy includes: Activate a cooling-wait timer loop within the off-peak queue; As physical time progresses, the global physical temperature exhibits a continuous decreasing trend driven by the real-time physical heat dissipation rate; The available temperature rise space is refreshed and calculated cyclically according to a set rhythm, and the remaining heat capacity is dynamically obtained as it continues to grow and expand. The physical hold restriction on the branch loop at the head of the off-peak queue is released when the current value of the remaining heat capacity increases to be greater than or equal to the estimated injected heat energy corresponding to the branch loop at the head of the off-peak queue.

[0014] Optionally, it also includes a step of performing closed-loop aging correction on the inherent heat capacity constant: Continuously record the extreme values ​​of actual temperature rise caused by each physical engagement operation; The deviation between the actual extreme temperature rise and the theoretical extreme temperature rise derived from the estimated injected heat energy is compared. When it is detected that the actual temperature rise extreme value is greater than the theoretical temperature rise extreme value multiple times and the difference exceeds the preset range, it is determined that the inside of the power metering box is in a state of insulation degradation and heat dissipation window blockage. The inherent heat capacity constant is reduced accordingly based on the obtained deviation ratio, which drives the remaining heat acceptance margin derived in subsequent calculations to become more conservative, thus forming an adaptive derating protection range that fits the current aging status of the equipment.

[0015] Secondly, the present invention provides an adaptive load control system for electricity metering boxes, comprising: A non-volatile data storage medium, wherein the non-volatile data storage medium contains an overheat protection code segment that can be read and run by a control processing chip; A control processing chip maintains a communication connection with the non-volatile data storage medium, and the control processing chip is configured to call and run the overheat protection code segment to implement the various steps of the adaptive control method for power load of the power metering box as described in any one of the first aspects.

[0016] The present invention has achieved the following beneficial effects: This invention provides an adaptive load control method and system for electricity metering boxes. When the global physical temperature exceeds a warning threshold, the system prioritizes cutting off the target branch circuit. It calculates the real-time physical heat dissipation rate of the equipment by extracting the actual cooling trajectory after the cutting-off action, and combines the available temperature rise space and inherent heat capacity constant to extrapolate the remaining heat capacity margin within the look-ahead time window. When dealing with concurrent reset requests from multiple branch circuits to be closed, the system extracts the accumulated Joule heat of each circuit as the estimated injected heat energy. It prioritizes selecting branch circuits with estimated injected heat energy below this margin for physical closure, while including branch circuits that do not meet the conditions in a staggered queue. These branch circuits gradually recover their heat capacity margin through natural heat dissipation before being released one by one. This control strategy combines the real-time physical heat dissipation status of the equipment with quantifiable heat capacity, improving the centralized release method when multiple loads are simultaneously closed, mitigating the hidden danger of local temperature exceeding limits caused by the convergence and superposition of transient thermal shocks, and preventing cascading tripping faults caused by such events. During operation, the system also records the actual temperature rise extreme value caused by physical attraction and compares the deviation with the theoretical temperature rise extreme value. By timely reducing the value parameter of the inherent heat capacity constant, closed-loop aging correction is implemented, so that the predicted boundary of heat margin can dynamically fit the actual equipment conditions such as insulation degradation and heat dissipation pore blockage, providing a matching safety protection range for power metering boxes in different service cycles.

[0017] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings.

[0018] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0019] 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 flowchart illustrating an adaptive load control method for an electricity metering box, as provided in an embodiment of the present invention. Figure 2 This is a schematic diagram illustrating the specific implementation process of the step of cutting off the target branch loop in an embodiment of the present invention; Figure 3 This is a schematic diagram illustrating the specific implementation process of the step of deriving the remaining heat acceptance margin in an embodiment of the present invention; Figure 4 This is a schematic diagram illustrating the specific implementation process of the step of extracting the estimated injected thermal energy in an embodiment of the present invention; Figure 5 This is a schematic diagram illustrating the specific implementation process of the staggered queue release buffer mechanism in this embodiment of the invention; Figure 6 This is a structural block diagram of an adaptive load control system for an electricity metering box, provided as an embodiment of the present invention. Detailed Implementation

[0020] 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.

[0021] It is understandable that the adaptive load control method for electricity metering boxes relies on the electrical hardware topology and data processing control environment for implementation. In the underlying power distribution network architecture, the electricity metering box serves as the physical hub for centralized power supply to multiple levels of electricity loads. Internally, it deploys a core busbar carrying the total load of the main incoming line, and multiple power supply branch circuits that independently distribute power based on the core busbar. To achieve real-time sensing and linked closed-loop control of electrical and thermodynamic parameters, the hardware entity of this control system includes a control processing chip, a non-volatile data storage medium, and peripheral data acquisition and control interfaces. The non-volatile data storage medium internally stores a device status mapping parameter table and control instruction codes that can be called and executed by the control processing chip. The input / output ports, analog-to-digital conversion channels, and data communication buses of the control processing chip establish direct electrical connections and communication links with the electromagnetic tripping actuators, metering chips, and digital thermal sensing nodes configured on each of the power supply branch circuits, thereby completing the data extraction, equation solving, and control instruction issuance of the underlying physical state.

[0022] Based on the aforementioned hardware infrastructure, this embodiment provides an adaptive load control method for electricity metering boxes. Specifically, as shown below... Figure 1 As shown, the method includes the following steps: Step S110: Obtain the real-time load power and global physical temperature of multiple power supply branch circuits inside the power metering box.

[0023] Step S120: The total power is obtained by summing the real-time load power of each load. When the total power obtained by summing is within the safe range and the global physical temperature exceeds the warning threshold, the target branch circuit is cut off.

[0024] Step S130: Extract the actual cooling trajectory after the cut-off action is performed, and calculate the real-time physical heat dissipation rate of the power metering box.

[0025] Step S140: Subtract the current global physical temperature from the ultimate tolerance temperature to obtain the available temperature rise space. Combine the inherent heat capacity constant and the real-time physical heat dissipation rate to extrapolate the remaining heat acceptance margin within the look-ahead time window.

[0026] Step S150: Intercept the branch loop to be closed that initiates a reset request, and extract the accumulated Joule heat of each branch loop in the past startup phase as the estimated injected heat energy.

[0027] Step S160: Select the branch loop corresponding to the estimated injected heat energy being lower than the remaining heat acceptance margin and perform physical attraction.

[0028] Step S170: Incorporate the remaining unengaged branch circuits into the staggered queue, gradually restore the remaining heat acceptance margin by relying on the real-time physical heat dissipation rate, and release them one by one after the remaining heat acceptance margin is greater than or equal to the estimated injected heat energy to prevent cascading tripping caused by thermal shock overlap.

[0029] Step S180: Perform a closed-loop aging correction operation on the inherent heat capacity constant.

[0030] Furthermore, regarding step S110, the real-time load power and global physical temperature of multiple power supply branch circuits inside the power metering box are obtained, forming the parameter sensing basis for implementing adaptive control. The specific implementation process includes: reading the effective values ​​of current and voltage through metering chips configured on the incoming side of each power supply branch circuit; performing a multiplication operation on the effective values ​​of current and voltage to output the real-time load power; and using digital thermal sensing nodes deployed in the core busbar area inside the power metering box to read temperature values ​​according to a preset acquisition frequency to generate the global physical temperature.

[0031] In the implementation data stream for acquiring electrical parameters, each power supply branch circuit is equipped with a voltage divider circuit and a current transformer at its input terminal. The analog voltage and current signals from the AC power grid are scaled by the transformers and then input to the analog front-end of the corresponding metering chip. The signal conditioning circuit inside the metering chip performs anti-aliasing low-pass filtering on the input analog signal to attenuate high-frequency switching harmonics and electromagnetic interference exceeding the system's Nyquist sampling frequency. Subsequently, the analog-to-digital conversion module, according to a preset discretization sampling rate and combined with the power grid frequency synchronization signal extracted based on a phase-locked loop mechanism, performs synchronous discrete sampling and quantization encoding on the filtered analog signal to generate a voltage discrete-time series and a current discrete-time series. Based on the physical definition of AC RMS values, the signal processing logic within the metering chip performs square multiplication, integral accumulation, and square root operations on the sampled values ​​of the voltage and current discrete-time series within one or more complete power frequency cycle time observation windows, outputting the digitized RMS values ​​of the current and voltage.

[0032] The control processing chip sends data read request messages with hardware address identifiers to each metering chip sequentially according to a preset polling time rhythm via its internally integrated serial communication bus. After receiving and verifying the returned data frames, the control processing chip loads the RMS current and RMS voltage values ​​parsed internally and belonging to the same power supply branch circuit into the arithmetic unit for multiplication. Simultaneously, the control processing chip derives the power factor parameter by combining the phase deflection angles of the voltage and current waveforms captured by the internal zero-crossing detection module. The arithmetic unit performs algebraic multiplication on the product result and the power factor parameter, removes the reactive power component, and calculates the real-time load power that characterizes the actual power consumption of the branch circuit. The real-time load power calculated for each power supply branch circuit is structured and recorded in a dynamic power state array in the internal memory of the control processing chip. This array is indexed by the independent hardware physical number of each branch circuit and is continuously updated.

[0033] In the implementation data stream for acquiring thermodynamic parameters, the system utilizes digital thermistor nodes deployed in the core busbar area inside the power metering box to collect ambient temperature data. The core busbar area, as the physical convergence and distribution node for the current of each power supply branch circuit within the entire power metering box, exhibits concentrated Joule heating effects due to its contact resistance and conductor impedance. Using it as a temperature measurement point reflects the fundamental heat source state inside the box. The control processing chip sends data reading commands to the digital thermistor nodes according to the preset acquisition frequency configured by the timer. The temperature-sensing resistance value inside the digital thermistor node changes with the ambient temperature; this resistance change is converted into a digital temperature code via the node's built-in analog-to-digital converter. After receiving this digital temperature code, the control processing chip, in conjunction with the nonlinear compensation parameter matrix embedded in the read-only sector of the non-volatile data storage medium, performs polynomial interpolation correction calculations to eliminate the inherent nonlinear drift error of the semiconductor thermistor, generating the global physical temperature with standard Celsius dimensions. Specifically, the polynomial interpolation correction calculation employs a first-order piecewise linear interpolation method. The nonlinear compensation parameter matrix is ​​a static mapping table provided by the thermistor supplier. It internally records key-value pairs between temperature values ​​divided in fixed 5-degree Celsius increments and their corresponding analog-to-digital conversion sampled values. The system directly extracts the upper and lower limit key-value pairs of the current sampled value's interval and performs a single proportional conversion to output the actual temperature.

[0034] Furthermore, regarding step S120, the real-time load power is aggregated to obtain the total power. When the aggregated total power is within a safe range and the global physical temperature exceeds the warning threshold, the target branch circuit is cut off. This step constitutes the core execution mechanism for over-limit safety assessment and intervention. Figure 2 As shown, the specific implementation process includes: summing all the real-time load power at the same time point to generate the total power; comparing the real-time load power corresponding to all the power supply branch circuits to locate the power supply branch circuit with the largest value; reviewing the business importance level parameter bound to the power supply branch circuit; when it is confirmed that the business importance level parameter is not at the core security protection level, the power supply branch circuit is identified as the target branch circuit, and a physical disconnection level is sent to the electromagnetic trip unit corresponding to the target branch circuit.

[0035] The critical parameters for this operation are directly anchored to the physical hardware configuration of the control board inside the metering box. During factory assembly or on-site wiring, the system pre-records the lower-level load attributes (e.g., setting the fire pump as core level and conventional lighting as a non-core level that can be cut off) via the hardware DIP switches configured for each branch circuit, and directly activates the corresponding hardware DIP switches for each branch circuit. During the initialization phase of power-on cold start, the control processing chip reads the high and low level combinations of the aforementioned physical DIP switches through general purpose input / output (GPIO) pins, converts them into 8-bit binary mask configuration bytes, and latches them in a non-volatile register. When executing intervention decision retrieval, the underlying arithmetic logic unit of the control processing chip directly retrieves the mask byte bound to the branch circuit and performs a bitwise AND operation with the reference hexadecimal mask representing the core level. Once the underlying status register approves its non-core protection level, the control processing chip immediately controls the corresponding pin to output a physical disconnect level. To prevent the trip coil from burning out due to continuous power supply, the physical disconnection level is strictly shaped by the underlying driver firmware into a single hardware square wave with a duration calibrated to, for example, 50 milliseconds and an amplitude of 3.3 volts. After being isolated by an optocoupler and amplified by a Darlington transistor array, this pulse instantaneously injects a DC excitation current into the shunt trip unit of the target branch circuit. The mechanical impact force of the electromagnetic armature directly cuts off the connection mechanism, effectively avoiding the risk of protection failure due to the paralysis of complex communication networks.

[0036] During the control decision-making phase, to avoid data time drift caused by communication delays, the control processing chip triggers a data latching control mechanism to perform synchronous latching operations on the data in the power status array of the internal memory, thereby extracting real-time load power data of each power supply branch circuit at the same physical time segment. The arithmetic module of the control processing chip cyclically extracts data based on the address index pointer, performs arithmetic summation on all the real-time load power, and generates the total power representing the current overall power throughput of the power metering box. The control processing chip compares the calculated total power with the total load safe power threshold pre-configured and entered by the system. This total load safe power threshold is based on the rated power supply capacity of the upstream transformer of the power metering box and the current carrying capacity of the main incoming cable. The specific comprehensive setting logic is as follows: extract the maximum active power corresponding to the rated power supply capacity of the transformer, compare it with the limit current carrying capacity of the main incoming cable, and take the smaller value as the physical limit power; then multiply the physical limit power by a preset engineering derating factor (preferably 0.8), and the calculated value is confirmed as the total load safe power threshold. If the total power value is less than or equal to the total load safe power threshold, the control system determines that the overall load of the current power metering box has not experienced an electrical overcurrent or overload abnormality, i.e., it is within the safe range. Based on the establishment of the safe range condition, the numerical comparison module of the control processing chip performs a comparison operation between the latest refreshed global physical temperature value and the set warning threshold benchmark value. The warning threshold benchmark value is set to a range of 55℃ to 65℃, preferably 60℃. This threshold is determined based on the long-term derating curve of the circuit breaker's plastic casing inside the power metering box, combined with a safety margin of 5℃ lower than the critical inflection point of accelerated aging of the insulation material (the inflection point is usually around 65℃) established in the factory full-load temperature rise test. If the global physical temperature value is greater than the warning threshold benchmark value, it physically reflects that the box's ability to dissipate heat outward is lower than the heat generated by the internal heat source, causing abnormal heat accumulation. The system status register responds by setting a bit, activating the load blocking intervention program.

[0037] In the load blocking procedure, the control processing chip allocates a sorting buffer array in the dynamic memory working area and copies the structure data array, including the hardware labels of each power supply branch circuit and the corresponding real-time load power value, into this area. The control processing chip calls the quicksort algorithm module to sort the data records within the structure array in descending order based on the magnitude of the real-time load power value. After the memory pointer reorganization operation, the power supply branch circuit that is ranked at the first physical address of the reorganized array has the largest current active power consumption and the highest proportion of Joule heat generation. The system locates and marks this circuit as the power supply branch circuit.

[0038] Subsequently, the control program uses the hardware label of the power supply branch circuit as the address offset to initiate a read operation on the parameter configuration table of the non-volatile data storage medium, retrieving the service importance level parameter mapped and bound to the circuit. This parameter is used to statically calibrate the tolerance limit of the service load on the branch circuit to power outage events. The control processing chip performs a mask condition judgment on the parsed service importance level parameter. If the judgment result shows that the parameter is associated with a core security level such as a communication transmission backbone or critical control equipment, the control logic directly cancels the intervention command for the circuit and shifts the control pointer down to the second-order branch circuit of the descending array, restarting the attribute parameter verification process. When the verification confirms that the retrieved service importance level parameter is not at a core security level, the control system locks the circuit and identifies it as the target branch circuit.

[0039] After establishing the target branch circuit, the control processing chip updates the register state of the corresponding external hardware pin and applies a physical disconnect level lasting milliseconds to the electromagnetic trip coil configured for the target branch circuit via the drive port. This disconnect level is injected into the electromagnetic trip coil after being isolated by an optocoupler circuit and processed by the subsequent power amplification device. The coil is energized to establish a transient closed magnetic field, and the generated electromagnetic attraction drives the circuit breaker to release the mechanical latch, forcing the moving and stationary contacts to physically isolate and cut off the current conduction path of the circuit, thereby cutting off the core heat source branch and preventing the continuous accumulation of heat.

[0040] Furthermore, regarding step S130, the actual cooling trajectory after the cut-off action is extracted, and the real-time physical heat dissipation rate of the power metering box is calculated, realizing a dynamic quantitative evaluation of the equipment's heat dissipation capacity. The specific implementation process includes: after executing the cut-off action, continuously reading the global physical temperature at time intervals to form a smoothly decreasing temperature sequence; extracting the absolute temperature difference between the first and last temperature measurement nodes from the smoothly decreasing temperature sequence, dividing the absolute temperature difference by the elapsed physical time to obtain a slope value exhibiting a linear cooling characteristic; combining the external surface area and material thermal resistance parameters of the power metering box, which are pre-imported into a local non-volatile data storage medium, and relying on a heat transfer calculation model, converting the slope value into the real-time physical heat dissipation rate, which characterizes the rate of heat dissipation.

[0041] The control processing chip internally employs a discrete mapping table based on factory physical test data to obtain the real-time physical heat dissipation rate. During the R&D and factory type testing phases of the power metering box, it is placed in a constant temperature high and low temperature test chamber, and a resistive heating load with a known constant power is applied to the internal core busbar. After the chamber reaches thermal equilibrium, the load is disconnected, and a multi-channel temperature monitoring instrument records the natural cooling trajectory under different ambient reference temperatures, extracting the corresponding linear cooling slope value. The applied constant heating power is equivalent to the physical dissipation power under this slope, thereby establishing a static data mapping table that corresponds one-to-one with the cooling slope, the internal and external absolute temperature difference, and the physical heat dissipation rate (in joules per second), and burning it into the read-only memory sector of the control processing chip in the form of a two-dimensional array. In actual operation, the control processing chip only needs to use the obtained slope value exhibiting linear cooling characteristics and the currently collected global physical temperature as array index pointers to directly call the corresponding physical heat dissipation rate constant from this static data mapping table through low-level memory addressing instructions.

[0042] After the target branch circuit completes the disconnection operation and stops heating, the internal thermodynamic state of the energy metering box transforms into a natural convection exhaust cooling mode dominated by the inherent characteristics of the system. The control processing chip activates its internal timer module and continuously sends read synchronization frames to the digital thermal sensor node according to a predefined time interval constant via the data communication interface. Each collected global physical temperature value is timestamped and sequentially pushed into a memory-allocated circular buffer block, forming the raw temperature data stream. To filter out transient glitches in the sensor values ​​caused by external airflow disturbances or electromagnetic pulses, the control processing chip calls the digital signal processing code library to perform multi-point sliding window mean filtering on the raw temperature data stream in the buffer block. Considering the computing power limitations of the control processing chip and the sensor sampling rate (e.g., 1Hz), the multi-point sliding window is preferably configured with 5 to 10 points (e.g., using an 8-point moving average). The smoothed data point array constitutes a smoothly decreasing temperature sequence with a monotonically decreasing property on a macroscopic time scale, mapping the cooling decay process of the physical cavity.

[0043] The control processing chip sets a fixed-length observation window within the smoothly decreasing temperature sequence. The observation window is specifically configured to be 3 to 5 minutes (preferably 3 minutes). This lower limit is established based on the inherent physical thermal inertia time required for the metal casing of the power metering box to achieve stable convection through heat exchange with the internal air; if the duration is too short, measurement errors caused by local hot and cold airflow disturbances cannot be eliminated. The temperature reading variable corresponding to the start time point of the observation window in the recorded sequence is extracted as the first temperature measurement node, and the temperature reading variable corresponding to the end time point of the observation window is extracted as the last temperature measurement node. The data processing core of the control processing chip loads the values ​​of the first and last temperature measurement nodes into a hardware subtractor to perform a subtraction operation, obtaining the absolute temperature difference value characterizing the temperature drop span. Simultaneously, the control processing chip extracts the pulse clock count value recorded by the timing module between the trigger times of the first and last temperature measurement nodes, divides it by the main frequency parameter, and converts it into the physical time elapsed in standard seconds. The divider module of the control processing chip uses the absolute temperature difference as the dividend and the elapsed physical time as the divisor to perform calculation and output the slope value that reflects the temperature decrease gradient characteristics of the device.

[0044] To convert the slope value of the Celsius decay dimension into a parameter in the dimension of thermal power, the control processing chip initiates a read operation on the local non-volatile data storage medium to extract the external surface area and material thermal resistance parameters of the power metering box, which have been factory-measured, calibrated, and fixed. The external surface area parameter defines the effective contact area between the external metal plate or insulating shell of the box and the ambient air for heat convection and radiation; the material thermal resistance parameter reflects the inherent impedance characteristics of the box material for heat transfer outward along the physical path of heat conduction. In this embodiment, the specific dimension of the material thermal resistance parameter is ℃ / W. This parameter is directly obtained through factory temperature rise bench testing: a known constant power pure resistive heating source is applied to the box under controlled ambient temperature. After the internal and external temperatures reach static thermal equilibrium, the absolute temperature difference between the inside and outside is recorded and divided by the constant heating power. The resulting empirical ratio constant is directly entered into the underlying system as the material thermal resistance parameter of this batch of boxes. The control processing chip performs a multiplication operation with the slope value based on the equivalent comprehensive specific heat capacity system constant of the physical structural dimensions of the power metering box. Subsequently, relying on the first-order equivalent difference equation model of Newton's law of cooling in the compiler, the external surface area parameter and the material thermal resistance parameter are substituted to perform heat transfer correction calculations. Specifically, considering the computing power limitations of the underlying control processing chip, the first-order equivalent difference equation model is simplified at the program level to discrete arithmetic operations based on the physical properties of the entity. Its implementation formula is set as: Real-time physical heat dissipation rate = (1 / material thermal resistance parameter) × external surface area parameter × absolute temperature difference.

[0045] The final output of the computational pipeline is converted into the real-time physical heat dissipation rate parameter in joules per second. This rate characterizes the upper limit of the power that the system can dissipate and expel physical heat to the outside under the actual ambient temperature difference and ventilation conditions at the time of calculation. Specifically, to ensure the consistency of physical dimensions, the aforementioned material thermal resistance parameter is defined in engineering calculations as the system's comprehensive equivalent thermal resistance, the value of which is obtained by dividing the material thermal resistance of the energy metering box by its outer surface area. At this point, the calculation formula for the real-time physical heat dissipation rate is simplified to: Real-time physical heat dissipation rate = Absolute temperature difference / System comprehensive equivalent thermal resistance.

[0046] Furthermore, regarding step S140, the available temperature rise space is obtained by subtracting the current global physical temperature from the ultimate tolerance temperature. Combined with the inherent heat capacity constant and the real-time physical heat dissipation rate, the remaining heat capacity margin within the look-ahead time window is deduced, thus constituting a total thermal balance constraint assessment mechanism for the thermodynamic system. For example... Figure 3 As shown, the specific implementation process includes: multiplying the real-time physical heat dissipation rate with the duration covered by the look-ahead time window to calculate the expected natural heat loss; multiplying the available temperature rise space with the inherent heat capacity constant to obtain the static temperature rise heat capacity; and performing a summation addition operation on the expected natural heat loss and the static temperature rise heat capacity to output the remaining heat capacity margin that comprehensively reflects the upper limit of the thermodynamic capacity of the closed physical system.

[0047] The system's maximum withstand temperature is determined by the physical softening critical point of the cross-linked polyethylene insulated cables conventionally laid within the metering box, and is hard-coded and calibrated between 75 and 80 degrees Celsius. The inherent thermal constant is directly derived from the hardware bill of materials (BOM) of this batch of energy metering boxes. Engineers extract the total physical mass of the copper busbars inside the box and perform hardware multiplication calculations using the basic specific heat capacity of copper (390 joules per kilogram of Celsius). This is then added to the product of the total mass of the cold-rolled steel outer shell and the specific heat capacity of steel (460 joules per kilogram of Celsius), and the arithmetic sum is entered into the system as the inherent thermal constant benchmark. For the insulation filling medium and circuit breaker components inside the box, their thermal capacity contribution is calculated equivalently based on the product of their respective masses and the specific heat capacity of their corresponding materials, and then combined and accumulated into the aforementioned inherent thermal constant benchmark. For complex assemblies, if precise mass cannot be obtained, the equivalent mass is calculated by multiplying its volume by the average density of the batch of materials, thus establishing a complete thermodynamic equilibrium benchmark for the enclosed space at the physical level. The look-ahead time window covers the complete mechanical anti-shake time of a conventional miniature circuit breaker's operating mechanism from cold-state engagement to the stable establishment of rated contact pressure, for example, a constant configured as 3.0 seconds. Relying on the fixed-point constants calculated based on the physical structure, the control system only needs to call the basic hardware multipliers and adders to perform single-step algebraic operations to output a quantified residual heat acceptance margin, ensuring that the capacitive and thermal boundary allocated to load closing has a reliable physical hardware foundation.

[0048] The system reads the preset limit tolerance temperature parameter from the security configuration file in the read-only memory area. This parameter is constrained by the extreme value of the heat resistance deformation of the insulation covering material of the internal conductors and the critical heating point of oxidation of the connection terminals. The control processing chip extracts the latest updated global physical temperature data from memory, and performs a difference operation in the arithmetic logic unit, using the limit tolerance temperature value as the minuend and the global physical temperature value as the subtrahend, to obtain the available temperature rise space. This available temperature rise space variable defines the degree Celsius margin by which the internal temperature is allowed to continue to increase without triggering insulation damage.

[0049] The system calls the look-ahead time window parameter set in the parameter table. The physical time span of this time window covers the complete time required for a normal external load to go from cold-state start-up to transient inrush current decay and convergence, and then to steady-state operation. The control processing chip inputs the previously calculated real-time physical heat dissipation rate and the integer duration value corresponding to the look-ahead time window into the multiplication calculator, executes the product conversion instruction, and calculates the expected natural heat loss. This result represents the total amount of heat energy lost by the power metering box to the external environment through conduction and convection within the projected time span.

[0050] Regarding the heat absorption characteristics of the basic materials, the control processing chip loads the inherent thermal constant, which reflects the physical properties of the enclosure structure's materials. This inherent thermal constant is a lumped parameter derived from the combined mass of physical components such as busbars, insulating filling media, and circuit breaker assemblies, along with their underlying specific heat capacity. The control processing chip uses multiplicative logic to perform an algebraic multiplication of the calculated available temperature rise space with the inherent thermal constant variable to obtain the static temperature rise heat capacity. This heat parameter measures the limit of internal energy that the system's inherent hardware materials can absorb and process, ignoring external dissipation.

[0051] Finally, the control processing chip activates its internal double-word summation channel, loading the expected natural heat loss parameter (reflecting time-dependent dynamic heat dissipation) and the static temperature rise heat absorption parameter (reflecting the physical material's absorption capacity) into the addition module for summation and addition. The summed output value is the remaining heat absorption margin. This margin parameter establishes a safe boundary threshold in the control logic for allocating heat capacity space to newly connected loads.

[0052] Furthermore, regarding step S150, the branch circuit to be closed that initiates a reset request is intercepted, and the accumulated Joule heat during the previous startup phase of each branch circuit to be closed is extracted as the estimated injected heat energy, thus realizing the quantitative conversion of electrical transient impact into a thermodynamic defense basis. For example... Figure 4 As shown, the specific implementation process includes: retrieving the peak value of the inrush current and the duration of the inrush current caused by the previous cold-state energization of each of the branch circuits to be closed; extracting the impedance parameters of the metal wires included in each of the branch circuits to be closed; performing a multiplication operation on the square of the peak value of the inrush current, the impedance parameters of the metal wires, and the duration of the inrush current according to the electrothermal conversion calculation logic to obtain the basic heat generation; setting the basic heat generation as the estimated injected heat energy to characterize the thermodynamic energy released at the moment of physical contact connection.

[0053] To ensure the accuracy of transient heat estimation without increasing the online integration computation burden on the control processing chip, the startup characteristic data of each branch circuit to be closed are all derived from the load testing phase of the production line. During factory calibration, a high-frequency digital oscilloscope and current probe are used to capture the cold-state startup current waveform of each rated ampere-level branch circuit when connected to a typical resistive-inductive load. The highest absolute amplitude of the waveform is extracted and recorded as the peak value of the inrush current. At the same time, the time span from the start of oscillation to the rated operating current band is extracted and recorded as the inrush current duration (usually between 50 and 150 milliseconds). The impedance parameters of the metal conductors are the sum of the measured micro-ohm static contact resistance and the internal resistance of the conductor, measured directly at the input and output terminals of the branch circuit using a DC double-arm bridge. After the control processing chip intercepts the reset request, it directly retrieves the above three static measurement records corresponding to the circuit and performs a multiplication operation of the peak current square, impedance, and time according to Joule's law. Because the measured current waveform is a non-ideal rectangular attenuated wave, the program adds an empirical conversion factor of 0.33 to the multiplication result for numerical scaling, thereby converting the peak current into an equivalent effective heating value and obtaining an estimated injected heat energy that fits the actual heating scale.

[0054] The steady-state tolerance range is specifically defined as follows: within ±5% of the nominal rated operating current amplitude of the load on the branch circuit, and when the waveform is monitored to be within this range for three consecutive power frequency cycles, it is determined to have entered a steady state. The empirical conversion factor of 0.33 is a factory bench calibration constant, which is determined by: measuring the actual area of ​​multiple sets of real transient inrush current waveforms using the waveform integration function of a high-frequency oscilloscope, dividing it by the area of ​​an ideal rectangular wave constructed using the corresponding current peak value and time span, and extracting the arithmetic mean of multiple ratios to solidify it as the conversion factor.

[0055] When the power distribution system detects that an external line fault has been cleared or a load terminal has initiated an electrical reset request to the system, in order to prevent external transient surges from penetrating and causing internal heat buildup and loss of control, the interrupt routing controller of the system control module immediately takes over the hardware trigger signal. The main program forces the logic status bit of the power supply branch circuit that issued the closing request to be set to a blocked pending state, and officially marks it as the branch circuit to be closed in the memory management structure, thereby blocking concurrent closing drives on the execution path.

[0056] For a branch circuit to be closed that has entered a suspended state, the control processing chip initiates an address search in the transient characteristic history sector configured in the non-volatile data storage medium based on the hardware characteristic address of the corresponding branch circuit. The control program extracts the peak parameters of the inrush current captured and recorded by the signal processing algorithm during each cold start operation of the circuit, as well as the duration data of the inrush current sustained by the hardware timer, covering the time span from the start of the inrush current waveform to the smooth decay of the amplitude and the convergence to the steady-state tolerance range. At the same time, the control processing chip extracts the impedance parameters of the metal conductors included in each branch circuit to be closed from the device basic parameter configuration section. These impedance parameters comprehensively cover the DC resistance of the current busbars laid inside the branch circuit, the micro-contact resistance of the circuit breaker, and the equivalent impedance rating of the transformer.

[0057] After retrieving the basic data, the control processing chip calls the floating-point unit to establish an equivalent deduction calculation link based on the electrothermal conversion calculation logic. The system first performs high-precision self-multiplication on the quantized value of the peak excitation inrush current, outputting a squared result variable representing the quadratic effect of the transient current limit intensity. Then, this squared result variable is multiplied by the retrieved metal wire impedance parameter in the multiplication pipeline to obtain an intermediate parameter representing the scale of transient instantaneous heating power. Next, this intermediate parameter is multiplied by the duration of the excitation inrush current to calculate the basic calorific value in joules on a macroscopic time-integration basis. After completing the floating-point calculation, the control system's variable conversion logic directly sets the basic calorific value and converts it into the estimated injected heat energy. This estimated injected heat energy parameter quantifies the total amount of thermodynamic energy released and transferred into the confined space during the transient electrical process at the moment the mechanical contacts are turned on, providing a basis for subsequent logic to quantitatively approve and allocate.

[0058] Furthermore, regarding step S160, the branch circuits corresponding to the estimated injected heat energy being lower than the remaining heat acceptance margin are selected for physical closure, establishing a scheduling mechanism for heat space approval allocation and action release. The specific implementation process includes: establishing a thermal shock comparison sequence for each of the branch circuits to be closed; within the thermal shock comparison sequence, determining whether the corresponding estimated injected heat energy can be contained by the remaining heat acceptance margin; when multiple branch circuits meet the containment condition, selecting the primary release circuit from high to low according to a preset power restoration priority level; sending a conduction drive pulse to the closure coil built into the primary release circuit to confirm line connection, and simultaneously deducting the corresponding consumed estimated injected heat energy from the remaining heat acceptance margin.

[0059] The memory management unit of the control system establishes the thermal shock comparison sequence in the heap space of the dynamic random access memory using a data arrangement format of structure arrays or linked lists. Each node unit in this sequence encapsulates the device communication addressing identifier of the branch loop in the pending closure state, the service association guarantee level parameters, and the estimated injected thermal energy floating-point value recently generated by equation derivation. After the sequence is constructed, the traversal verification algorithm module of the control processing chip extracts the estimated injected thermal energy parameters in each node one by one within the sequence using the offset step of the address pointer. At the same time, it loads the latest remaining heat acceptance margin parameter maintained in the current global variable space of the system. The control unit performs unsigned numerical subtraction comparison verification, using the remaining heat acceptance margin as the minuend, and subtracts the estimated injected thermal energy value stored in each node in turn. If the hardware comparator flag shows that the difference of this subtraction operation is greater than or equal to zero, it is determined that the corresponding estimated injected thermal energy can be contained by the remaining heat acceptance margin, and the system sets the status flag of the branch loop node to the conditionally admissible state.

[0060] After the traversal and comparison task is completed, if the memory marking results indicate that multiple branch loop nodes in the sequence meet the inclusion condition, the system performs serialized allocation and scheduling. The control processing chip extracts the power restoration priority level parameters of all condition-allowed nodes. This priority level parameter is a static weighted numerical identifier fixed based on the key attributes of the load during the power distribution planning stage. The control processing chip calls the sorting algorithm module to centrally perform a descending order reordering operation on the extracted power restoration priority level parameters. After sorting, the single branch loop node that is at the beginning of the reordered data sequence and has the highest priority parameter is established by the control logic as the primary release loop.

[0061] After locking the primary release loop, the external device control pin of the control processing chip updates its level state, outputting a one-frame pulse duration of the conduction drive pulse to the pull-in coil transmission channel built into the primary release loop. This drive pulse is amplified by the subsequent high-power drive element and applied to both ends of the closing coil. The coil is energized to establish a closed magnetic circuit, and the internal mechanical trip transmission spring linkage is displaced by electromagnetic force, ultimately closing the physical circuit of the moving and stationary contacts, completing the conduction action of power transmission. Within the same control pipeline cycle of outputting the conduction drive pulse command, the data processing unit performs an atomic update operation, synchronously subtracting the estimated injected heat energy value of the primary release loop from the remaining heat capacity margin recorded in the system main memory. The deduction operation immediately overwrites and refreshes the original register data, ensuring the synchronization of global margin assessment data and preventing the same heat capacity quota from being repeatedly allocated by concurrent processes.

[0062] Furthermore, regarding step S170, the remaining unengaged branch loops are included in the staggered peak queue. The remaining heat capacity is gradually restored based on the real-time physical heat dissipation rate. Once the remaining heat capacity is greater than or equal to the estimated injected heat energy, they are released one by one, thus realizing a staggered peak buffering mechanism that exchanges passive cooling for a safety margin. Figure 5 As shown, the specific implementation process includes: activating a cooling waiting timer loop within the off-peak queue; as physical time progresses, the global physical temperature shows a continuous downward trend driven by the real-time physical heat dissipation rate; refreshing and calculating the available temperature rise space according to a set rhythm, and dynamically obtaining the continuously increasing and expanding remaining heat acceptance margin; until the current value of the remaining heat acceptance margin increases to be greater than or equal to the estimated injected heat energy corresponding to the branch loop ranked first in the off-peak queue, releasing the physical attraction restriction on the branch loop ranked first in the off-peak queue.

[0063] Considering the limited capacity of the on-chip static random access memory (SRAM) of the main control processing chip in the electricity metering box, and the susceptibility to pointer errors due to dynamic memory allocation calls in industrial environments with strong electromagnetic interference, the staggered queue is strictly visualized as a static circular buffer array of fixed physical length in the underlying C language firmware. The maximum memory depth of this buffer array is fixed at compile time to the total number of branch loops physically supported by the main busbar of the metering box. The hardware identifier and thermal parameters of the branch loops that are not allowed to pass rely solely on maintaining a write head pointer and a read tail pointer, performing circular addressing and status suspension within this fixed contiguous memory address segment. In addition, in the underlying execution action of releasing physical latching restrictions and allowing each loop to pass one by one, the firmware program forcibly implants a hardware anti-collision dead-time delay with a span of, for example, 300 milliseconds into the main control loop. Because the transient load power of the switching power supply module (SMPS) inside the metering box has a physical limit, if the microprocessor continuously outputs multiple closing drive pulses without interval, the concurrent excitation of the coils inside multiple high-power circuit breakers will instantly pull down the voltage of the internal DC control bus, which can easily trigger the undervoltage reset (Brown-out Reset) at the hardware level of the control processing chip, causing the control system to crash and restart.

[0064] As the primary release loop completes its closing, for the remaining unclosed branch loops that were not released due to excessive estimated injected heat or low priority, the memory management module creates a first-in-first-out linked list buffer storage area with a head-tail pointer architecture in the underlying data heap area. The data nodes of the remaining unclosed branch loop structures that were blocked from comparison are moved into this buffer for suspension queuing and marked as the off-peak queue. Subsequently, the control processing chip activates the cooling wait timer loop control flow within the background monitoring process of the off-peak queue.

[0065] During the cooling and waiting phase, the dominant heat-generating branch circuit inside the energy metering box is physically isolated, and a large number of load requests are blocked and suspended, resulting in a stagnant state of low-heat energy injection inside the cavity. The energy metering box continuously dissipates heat to the external environment through its metal casing and heat dissipation windows. As physical time progresses, the global physical temperature sensed by the digital thermal sensor node exhibits a monotonically decreasing trend driven by the dissipation of the real-time physical heat dissipation rate.

[0066] The control processing chip periodically schedules the communication bus to refresh and acquire updated global physical temperature data based on the cyclic detection rhythm set by the internal hardware timer. The arithmetic module subtracts the newly acquired temperature value from the fixed limit tolerance temperature parameter, performing a subtraction calculation to recalculate and obtain the available temperature rise space that gradually rebounds and expands. The arithmetic control flow combines the latest calculated available temperature rise space parameters, the system's inherent heat capacity constant, and constant coefficients such as the real-time heat dissipation rate, and re-executes the combined multiplication and addition equations to dynamically generate and obtain the remaining heat acceptance margin, which shows a continuous growth and expansion.

[0067] In each round of dynamic capacity parameter refresh of the computing node, the control logic extracts the estimated injected heat energy parameter stored in the branch loop node at the head of the staggered peak queue (i.e., the node pointed to by the head pointer), and compares it with the currently dynamically accumulated and expanded remaining heat capacity margin value. The system is considered to have regained the safety conditions to accept the heat surge impact of the branch loop when the internal comparator confirms that the current floating-point value of the remaining heat capacity margin has increased to be greater than or equal to the estimated injected heat energy corresponding to the branch loop at the head of the staggered peak queue. The control system clears the data lock flag, releases the physical engagement restriction on the branch loop at the head of the staggered peak queue, triggers the bottom-level pin output action, and executes the conduction drive pulse operation for the closing coil of that loop. After completing the closing operation, the estimated injected heat energy consumption value is simultaneously deducted from the global parameters, releasing the space occupied by the data node at the head of the queue. The next data node in the staggered peak queue is sequentially moved to the head, and the algorithm re-enters the passive buffer process of obtaining capacity recovery through natural cooling and then iteratively judging.

[0068] Furthermore, in step S180, a closed-loop aging correction is implemented for the inherent thermal constant to eliminate static parameter model deviations caused by aging of the equipment insulation material and blockage of external ventilation structures. The specific implementation process includes: continuously recording the actual temperature rise extreme value after each physical engagement operation; comparing the actual temperature rise extreme value with the theoretical temperature rise extreme value derived from the estimated injected heat energy; when multiple instances are detected where the actual temperature rise extreme value exceeds the theoretical temperature rise extreme value and the difference exceeds a preset range, it is determined that the internal insulation of the energy metering box exhibits insulation degradation and blocked heat dissipation windows; and reducing the value of the inherent thermal constant parameter according to the obtained deviation ratio, driving the subsequently derived remaining heat capacity margin to become more conservative, forming an adaptive derating protection range that conforms to the current aging status of the equipment.

[0069] The triggering determination of this adaptive derating protection mechanism relies on the anti-jitter counter of the underlying state machine. The system maintains a deviation threshold dead zone in the register, setting a single over-limit event as when the actual temperature rise exceeds the theoretical temperature rise by 2.0 degrees Celsius. To prevent model misjudgment caused by sensor sampling noise or transient airflow interference from manually opening the cabinet door, the control logic requires that this over-limit event must be triggered in five consecutive independent physical engagement operations before the state machine finally confirms that the external ventilation holes of the power metering box are severely dusty or that the internal insulation has substantially aged and degraded. After confirming this aging state, the control processing chip calls the erase / write instruction of the non-volatile data storage medium to directly multiply the original inherent thermal constant by a reduction factor, for example, 0.85, and rewrites the weakened product value in-place to the parameter sector of the non-volatile data storage medium. When the subsequent peak-shifting queue requests capacity allocation again, the system directly reads the inherent thermal constant, which has been reduced by 15%, for calculation.

[0070] During constant aging closed-loop monitoring, the control processing chip activates an independent temperature rise response observation thread. After any power supply branch circuit performs a physical closing operation and triggers a transient thermal transition, the control processing chip increases the data sampling and reading frequency of the digital thermal sensor node array within a preset physical time observation window covering the transition from closing to steady state (the span of this observation window is preferably 500 to 1000 milliseconds, and its setting is based on encompassing the anti-shake time of the underlying high-power circuit breaker's mechanical contact closure and the physical hysteresis time for the transient inrush current heat to completely transfer to the surrounding air medium). The data processing unit performs a sliding derivative operation on the captured discrete temperature time-series curve data points, and extracts the peak temperature value of the curve by identifying the stagnation point where the first derivative changes from positive to negative and approaches zero. Subtracting the basic background temperature data latched before the closing action is issued from this peak value, the actual temperature rise extreme value induced by this single-point thermal shock physical event is obtained through differential operation.

[0071] In parallel, the control processing chip calls the estimated injected heat energy value variable used in the evaluation phase of this closing action, substitutes it into the thermodynamic analytical model equation including the currently configured intrinsic heat capacity constant as the denominator, and performs forward theoretical derivation calculation to calculate the theoretical temperature rise extreme value under the premise of no interference from the decay factor. Specifically, the calculation of the theoretical temperature rise extreme value follows the basic internal energy conversion law, and its calculation formula is: Theoretical temperature rise extreme value = Estimated injected heat energy / Intrinsic heat capacity constant. The division comparison module of the control processing chip uses the actual temperature rise extreme value as the dividend and the theoretical temperature rise extreme value as the divisor to perform a ratio calculation operation, and extracts the deviation ratio parameter characterizing the difference between the two.

[0072] The control program stacks and stores multiple deviation ratio parameters obtained from a single engagement test at consecutive time nodes into a sliding observation statistical window structure set in memory, and performs mean-based filtering. When the statistical algorithm detects that the actual temperature rise extreme value is systematically and significantly greater than the calculated theoretical temperature rise extreme value within multiple consecutive evaluation cycles, and the mean deviation ratio exceeds the preset normal measurement error dead zone boundary for a long period of time, the state machine judgment logic outputs a clear judgment result, confirming that the internal physical insulation of the power metering box is degraded or the external convection vents are substantially blocked.

[0073] In response to the degradation determination, the compensation processing module of the control processing chip extracts the average over-limit deviation ratio calculated by the system and internally converts it into a compensation multiplier variable with a fixed value less than 1. It extracts the original configuration of the inherent thermal capacity constant value from the system's storage area, performs a multiplication instruction with this value and the compensation multiplier variable, and reduces the constant value according to the obtained deviation ratio. Subsequently, the control processing chip calls the low-level addressing sequence of the external storage medium controller and issues a data erase / write instruction to directly overwrite the inherent thermal capacity constant in the original data segment with the updated product result after algebraic operations. This operation, by reducing the physical basis parameter model, directly drives the remaining heat capacity margin parameter derived from this constant in subsequent operating cycles to shrink in a coordinated manner. The system's output capacity becomes increasingly conservative, ultimately evolving into an adaptive derating protection range that strictly adapts to the aging of the system's structure.

[0074] Corresponding to the underlying control and data flow logic of the above method, this embodiment also discloses an adaptive load control system for electricity metering boxes. For example... Figure 6As shown, the control system includes: a non-volatile data storage medium, on which overheat protection code segments capable of being read and executed by a control processing chip are inscribed; and the control processing chip. The control processing chip maintains a communication connection with the non-volatile data storage medium, and is configured to call and execute the overheat protection code segments to implement the various operational steps of the adaptive load control method for the power metering box.

[0075] In the physical architecture of the control system, the non-volatile data storage medium is physically integrated with the control processing chip through chip select signal lines, parallel address buses, and serial data interaction interfaces, constituting a persistent solid-state carrier for system instructions and static environment configuration parameters. The non-volatile data storage medium contains coded protected physical sectors that permanently store a sequence of low-level machine operation instructions compiled and linked by the target chip architecture compiler, namely the overheat protection code segment. This overheat protection code segment encapsulates a set of low-level control operation instructions covering AC power analog-to-digital conversion and analysis, thermodynamic time-equivalent difference equation solution, historical excitation transient data addressing and retrieval, peak-shifting queue priority linked list pointer scheduling and allocation, and aging constant closed-loop overwriting.

[0076] The global computation and control hub unit of the execution system is the control processing chip. This chip integrates a main data processing kernel, a hardware timer and interrupt controller module responsible for coordinating communication timing, and a universal input / output transmission control endpoint channel configured for various electrical environments. After the device powers on and resets or is woken up by a watchdog timer, the program counter of the control processing chip loads the physical address of the overheat protection code segment and enters the code call execution state. During execution, the control processing chip responds to code instructions, schedules the internal arithmetic logic processing unit and the hardware multiplication and division accelerator, and coordinates high-frequency acquisition of data from the underlying analog-to-digital conversion circuit. By executing complex data comparison, multiplication and division parameter derivation and iteration, cache queue node movement, and storage quantization overwrite mechanisms, the system completes the judgment and evaluation of capacity quotas and priority permissions. After obtaining the quantization decision result, the control processing chip uses the external communication port pins to send a status execution level to the external high-voltage conversion controller in clock timing, driving the front-end electromagnetic trip mechanism to perform physical actions of opening and closing. The control system effectively maps the abstract energy volume boundary prediction algorithm into a hardware execution barrier to prevent abnormal heat accumulation, realizing closed-loop control and adaptive allocation of the heating parameters of the power metering box.

[0077] 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 method for adaptive control of electrical load for electricity metering boxes, characterized in that, include: The real-time load power and global physical temperature of multiple power supply branch circuits inside the power metering box are obtained; The total power is obtained by summing up the real-time load power of each load. When the total power obtained by summing up is within the safe range and the global physical temperature exceeds the warning threshold, the target branch circuit is cut off. Extract the actual cooling trajectory after the cut-off action is performed, and calculate the real-time physical heat dissipation rate of the power metering box; The available temperature rise margin is obtained by subtracting the current global physical temperature from the ultimate tolerance temperature. Combined with the inherent heat capacity constant and the real-time physical heat dissipation rate, the remaining heat acceptance margin within the look-ahead time window is deduced. Intercept the branch loop that initiates a reset request and extract the start-up Joule heat accumulated in the past start-up phase of each branch loop as the estimated injected heat energy. Physical attraction is performed on the branch loops corresponding to the estimated injected heat energy being lower than the remaining heat acceptance margin. The remaining unengaged branch circuits are included in the staggered queue. The remaining heat acceptance margin is gradually restored by relying on the real-time physical heat dissipation rate. Once the remaining heat acceptance margin is greater than or equal to the estimated injected heat energy, they are released one by one to prevent cascading tripping caused by overlapping thermal shocks.

2. The adaptive load control method for electricity metering boxes as described in claim 1, characterized in that, The process of obtaining the real-time load power and global physical temperature of multiple power supply branch circuits inside the power metering box includes: The effective values ​​of current and voltage are read by metering chips configured on the input side of each of the power supply branch circuits; The real-time load power is output by multiplying the effective value of the current and the effective value of the voltage. The global physical temperature is generated by using digital thermal sensing nodes deployed in the core busbar area inside the power metering box to read temperature values ​​at a preset acquisition frequency.

3. The adaptive load control method for electricity metering boxes as described in claim 1, characterized in that, The step of summing up the real-time load power to obtain the total power, and cutting off the target branch circuit when the summed total power is within a safe range and the global physical temperature exceeds the warning threshold, includes: The total power is calculated by summing the real-time load power at the same time point; By comparing the real-time load power corresponding to all the power supply branch circuits, the power supply branch circuit with the largest value is located. Access the service importance level parameters bound to the power supply branch circuit; When it is confirmed that the business importance level parameter is not at the core security protection level, the power supply branch circuit is identified as the target branch circuit, and a physical disconnection level is sent to the electromagnetic trip unit corresponding to the target branch circuit.

4. The adaptive load control method for electricity metering boxes as described in claim 1, characterized in that, The extraction of the actual cooling trajectory after the cut-off action and the calculation of the real-time physical heat dissipation rate of the power metering box include: After the cutting action is performed, the global physical temperature is continuously read at time intervals to form a smoothly decreasing temperature sequence. Extract the absolute temperature difference between the first and last temperature measurement nodes from the smoothly decreasing temperature sequence, and divide the absolute temperature difference by the physical time elapsed to obtain the slope value that exhibits linear cooling characteristics. By combining the external surface area and material thermal resistance parameters of the power metering box, which is pre-imported with local non-volatile data storage media, the slope value is converted into the real-time physical heat dissipation rate, which characterizes the rate at which heat is dissipated outward, based on the heat transfer calculation model.

5. The adaptive load control method for electricity metering boxes as described in claim 1, characterized in that, The method of subtracting the current global physical temperature from the ultimate tolerance temperature to obtain the available temperature rise margin, and combining the inherent heat capacity constant with the real-time physical heat dissipation rate, to extrapolate the remaining heat absorption margin within the look-ahead time window includes: The expected natural heat loss is calculated by multiplying the real-time physical heat dissipation rate with the duration covered by the look-ahead time window. Multiply the available temperature rise space by the inherent heat capacity constant to obtain the static temperature rise heat capacity. Perform a summation and addition operation on the expected natural heat loss and the static temperature rise heat absorption, and output the remaining heat absorption margin.

6. The adaptive load control method for electricity metering boxes as described in claim 1, characterized in that, The step of extracting the accumulated Joule heat from the previous startup phases of each of the branch loops to be closed as the estimated injected heat energy includes: The peak value of the inrush current and the duration of the inrush current were retrieved for each of the branch circuits to be closed at the moment of cold-state energization in the past. Extract the impedance parameters of the metal wires included in each of the branch loops to be closed; Based on the electrothermal conversion calculation logic, the square of the peak value of the magnetizing inrush current, the impedance parameter of the metal wire, and the duration of the magnetizing inrush current are multiplied together to obtain the basic heat generation. The baseline heat generation is set to the estimated injected heat energy.

7. The adaptive load control method for electricity metering boxes as described in claim 1, characterized in that, The step of selecting the branch loop corresponding to the estimated injected heat energy being lower than the remaining heat acceptance margin for physical attraction includes: Establish a thermal shock comparison sequence for each of the aforementioned branch loops to be closed; Within the thermal shock comparison sequence, it is determined one by one whether the corresponding estimated injected thermal energy can be contained by the remaining heat acceptance margin. When there are multiple branch circuits with containment conditions, the primary circuit to be released is selected from high to low according to the preset power restoration priority level. A conduction drive pulse is sent to the pull-in coil built into the primary release circuit to ensure the circuit is connected, and the estimated injected heat energy consumed is simultaneously deducted from the remaining heat acceptance margin.

8. The adaptive load control method for electricity metering boxes as described in claim 1, characterized in that, The step of incorporating the remaining unengaged branch loops into the staggered queue, gradually restoring the remaining heat capacity based on the real-time physical heat dissipation rate, and releasing them one by one after the remaining heat capacity is greater than or equal to the estimated injected heat energy includes: Activate a cooling-wait timer loop within the off-peak queue; As physical time progresses, the global physical temperature exhibits a continuous decreasing trend driven by the real-time physical heat dissipation rate; The available temperature rise space is refreshed and calculated cyclically according to a set rhythm, and the remaining heat capacity is dynamically obtained as it continues to grow and expand. The physical hold restriction on the branch loop at the head of the off-peak queue is released when the current value of the remaining heat capacity increases to be greater than or equal to the estimated injected heat energy corresponding to the branch loop at the head of the off-peak queue.

9. The adaptive load control method for electricity metering boxes as described in claim 1, characterized in that, It also includes the step of performing closed-loop aging correction on the inherent heat capacity constant: Continuously record the extreme values ​​of actual temperature rise caused by each physical engagement operation; The deviation between the actual extreme temperature rise and the theoretical extreme temperature rise derived from the estimated injected heat energy is compared. When it is detected that the actual temperature rise extreme value is greater than the theoretical temperature rise extreme value multiple times and the difference exceeds the preset range, it is determined that the inside of the power metering box is in a state of insulation degradation and heat dissipation window blockage. The inherent heat capacity constant is reduced accordingly based on the obtained deviation ratio, which drives the remaining heat acceptance margin derived in subsequent calculations to become more conservative, thus forming an adaptive derating protection range that fits the current aging status of the equipment.

10. A power load adaptive control system for electricity metering boxes, characterized in that, include: A non-volatile data storage medium, wherein the non-volatile data storage medium contains an overheat protection code segment that can be read and run by a control processing chip; A control processing chip maintains a communication connection with the non-volatile data storage medium, and the control processing chip is configured to call and run the overheat protection code segment to implement each step of the adaptive control method for power load of the power metering box as described in any one of claims 1 to 9.

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