Temperature and humidity intelligent regulation and control method and system for anti-condensation cable branch box

Abstract

The application relates to the technical field of temperature and humidity regulation, and discloses a temperature and humidity intelligent regulation method and system for a condensation-proof cable branch box. The method comprises the following steps: obtaining total Joule heat power by Joule's law based on real-time currents of each outgoing circuit, estimating each wall surface temperature estimate value by combining the heat capacity of the box body and the comprehensive heat transfer coefficient, dividing the self-heating sufficient area and the self-heating vacuum area after calculating the dew point margin of each wall surface, outputting differential compensation heating power for the self-heating vacuum area, and triggering advanced pre-compensation by the real-time current change rate. The application improves the accuracy and long-term operation reliability of the condensation-proof control of the outdoor low-voltage cable branch box.

Description

Technical Field

[0001] This application relates to the field of temperature and humidity control technology, and in particular to a method and system for intelligent temperature and humidity control of an anti-condensation cable branch box. Background Technology

[0002] Low-voltage cable distribution boxes (including 400V, 0.4kV, and 380V outdoor cable distribution boxes) are widely deployed at the end of urban power distribution networks and are exposed to outdoor environments with significant day-night temperature differences for extended periods. Existing anti-condensation control technologies mainly include three methods: heating with fixed-power electric heating elements, dehumidification with silica gel absorbent materials, and ventilation through vents. Their control logic compares the measured values ​​from the temperature and humidity sensors inside the box with statically set thresholds, triggering simple on / off switching or graded control of the heating elements. The information sensing source for these solutions is singular, relying entirely on direct measurements from temperature and humidity sensors. Temperatures in blind spots not covered by the sensors on the six walls of the box are completely lost, and the heating elements operate uniformly on and off across all walls, without distinguishing the actual condensation risk differences between each wall.

[0003] The existing technology has three fundamental flaws. First, the conductors of the cables in each outgoing circuit within the cable branch box continuously generate Joule heat due to current flow. This endogenous heat source has a direct and dynamic impact on the temperature field inside the box. However, the existing technology completely ignores the existence of this heat source, neither incorporating it into the decision-making basis for anti-condensation control nor utilizing its differentiated contribution to the temperature of each wall surface. This results in the anti-condensation heating element always operating at a fixed power globally, with a large amount of energy wasted in wall areas where Joule heat is sufficient to maintain a safety margin. Second, the existing control strategy is passive-response—heating is only initiated when the sensor's measured value reaches the condensation threshold. However, the box itself has thermal inertia, and it takes a certain amount of time for the heat output by the heating element to raise the wall temperature. In scenarios where the load drops rapidly, causing a sudden decrease in Joule heat, this response lag often causes the wall temperature to drop below the dew point before heating takes effect, and condensation has already occurred. Third, the parameters of the thermal balance model are fixed after being calibrated once at the factory. Deterioration of the enclosure's sealing performance, aging of SMC materials, and dust accumulation will all cause the actual thermal resistance parameters to drift continuously. The accuracy of the model prediction will gradually decrease with the running time, and the reliability of anti-condensation control cannot be guaranteed after long-term operation. Summary of the Invention

[0004] This application provides a method and system for intelligent temperature and humidity control of anti-condensation cable branch boxes, which solves the problems of existing anti-condensation technologies ignoring the endogenous heat source of cable Joule heating, failing to differentiate and compensate for thermal gaps on each wall surface, and causing uncontrolled condensation due to thermal inertia response lag. This improves the accuracy and long-term operational reliability of anti-condensation control in outdoor low-voltage cable branch boxes.

[0005] In a first aspect, this application provides a method for intelligent temperature and humidity control of an anti-condensation cable branch box, the method comprising: Step S1: Based on the real-time current of each outgoing circuit of the cable branch box, calculate the Joule heat power of each cable conductor using Joule's law, and sum the Joule heat power of each circuit to obtain the total Joule heat power. Step S2: Using the total Joule heat power as the heat source input, and combining the ambient temperature outside the chamber with the heat capacity of the chamber and the comprehensive heat transfer coefficient, the temperature of each wall surface of the chamber is dynamically estimated to obtain the estimated value of each wall surface temperature. Step S3: Calculate the dew point temperature inside the chamber based on the measured temperature and relative humidity using the logarithmic relationship of saturated vapor pressure. Divide the estimated temperature of each wall surface with the dew point temperature to obtain the dew point margin of each wall surface. Based on the relationship between the dew point margin of each wall surface and the safety margin threshold, divide each wall surface into a self-heating sufficient zone and a self-heating vacuum zone. Step S4: For the self-heating vacuum zone, the differential compensation heating power is calculated by multiplying the difference between the safety margin threshold and the dew point margin of each wall surface by the corresponding wall surface thermal conductivity coefficient, and the heating element of the corresponding area is driven by a PWM signal to output the differential compensation heating power; at the same time, the rate of change of the real-time current is monitored, and when the rate of change exceeds the preset load drop threshold, pre-compensation power is added to the self-heating vacuum zone in advance. The duration of the pre-compensation power is determined by the ratio of the heat capacity of the box to the comprehensive heat transfer coefficient.

[0006] Secondly, this application provides an intelligent temperature and humidity control system for an anti-condensation cable branch box, the intelligent temperature and humidity control system for the anti-condensation cable branch box comprising: The calculation module is used to calculate the Joule heat power of each cable conductor based on the real-time current of each outgoing circuit of the cable branch box using Joule's law, and sum the Joule heat power of each circuit to obtain the total Joule heat power. The estimation module is used to take the total Joule heat power as a heat source input, and combine the ambient temperature outside the chamber with the heat capacity of the chamber and the comprehensive heat transfer coefficient to dynamically estimate the temperature of each wall surface of the chamber, and obtain the estimated value of the temperature of each wall surface. The difference module is used to calculate the dew point temperature inside the chamber based on the measured temperature and relative humidity inside the chamber using the logarithmic relationship of saturated water vapor pressure. The difference between the estimated temperature of each wall surface and the dew point temperature is used to obtain the dew point margin of each wall surface. Based on the relationship between the dew point margin of each wall surface and the safety margin threshold, each wall surface is divided into a self-heating sufficient zone and a self-heating vacuum zone. The output module is used to calculate the differentiated compensation heating power for the self-heating vacuum zone by multiplying the difference between the safety margin threshold and the dew point margin of each wall surface by the corresponding wall surface thermal conductivity coefficient, and drive the heating element of the corresponding area to output the differentiated compensation heating power using a PWM signal; at the same time, it monitors the rate of change of the real-time current, and when the rate of change exceeds the preset load drop threshold, it pre-compensates the power to the self-heating vacuum zone in advance. The duration of the pre-compensation power is determined by the ratio of the heat capacity of the enclosure to the comprehensive heat transfer coefficient.

[0007] Thirdly, a temperature and humidity intelligent control device for an anti-condensation cable branch box is provided, comprising: a memory and at least one processor, wherein the memory stores instructions; the at least one processor calls the instructions in the memory to cause the temperature and humidity intelligent control device for the anti-condensation cable branch box to execute the above-described temperature and humidity intelligent control method for the anti-condensation cable branch box.

[0008] Fourthly, a computer-readable storage medium is provided, wherein instructions are stored in the computer-readable storage medium, which, when executed on a computer, cause the computer to perform the above-described intelligent temperature and humidity control method for anti-condensation cable branch boxes.

[0009] The technical solution provided in this application uses the real-time current of each outgoing circuit of the cable branch box as the core information source, and uses Joule's law to directly convert electrical quantities into driving variables of the thermal field inside the box. This fundamentally changes the information acquisition method of existing technologies that rely solely on temperature and humidity sensors. Based on the thermal balance recursive relationship constructed from the total Joule heat power, the heat capacity of the box, and the comprehensive heat transfer coefficient, the acquisition of the estimated temperature of each wall surface is no longer limited by the physical arrangement of the sensors. The temperature state of all six walls of the box can be obtained surface by surface through heat conduction calculations, eliminating the obstruction of condensation judgment by sensor blind spots. Based on this, the dew point temperature is calculated using the logarithmic relationship of saturated vapor pressure, and the dew point margin of each wall surface is obtained by subtracting the estimated temperature of each wall surface from the dew point temperature of each wall surface. Then, each wall surface is divided into a self-heating sufficient zone and a self-heating vacuum zone using the safety margin threshold as the judgment boundary. This makes the target of anti-condensation control more precise from a uniform humidity scalar value for the entire chamber to an independent thermal gap for each wall surface. Wall surfaces that can maintain a safety margin by Joule heating do not require any external heating. The compensation heating power is only directed to the wall surfaces with a margin gap in the self-heating vacuum zone, and the output is exactly equal to the minimum heat power required to restore the dew point margin of that wall surface to the safety margin threshold.

[0010] In the proactive pre-compensation mechanism, the real-time current change rate is introduced as an early criterion for load withdrawal trends. When the change rate exceeds the preset load reduction threshold, pre-compensation power is immediately triggered, rather than waiting for the wall temperature to actually decrease before responding. The duration of the pre-compensation power is constrained by the thermal time constant determined by the ratio of the enclosure's heat capacity to the overall heat transfer coefficient, ensuring that the pre-compensation action window precisely matches the enclosure's thermal inertia characteristics. The contribution of this mechanism is that the electrical quantity change rate signal carries sufficient early warning information before the thermal field change becomes apparent. By coupling it with the thermal time constant, the algorithm can complete temperature margin reserves before physically irreversible condensation occurs, rather than passively eliminating it after condensation has already occurred. The combined effect of the two control logics is that the allocation of anti-condensation heating resources is always synchronized with the actual heat demand and load dynamics of each wall surface within the enclosure, avoiding both wasted heat in unnecessary areas and response gaps at critical moments. Attached Figure Description

[0011] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0012] Figure 1 This is a schematic diagram of an embodiment of the intelligent temperature and humidity control method for anti-condensation cable branch boxes in this application. Figure 2 This is a schematic diagram illustrating the dynamic changes of total Joule heat power and ambient temperature throughout the day in the embodiments of this application. Figure 3 This is a schematic diagram illustrating the comparison and verification between the estimated value of the thermal balance model of the air temperature inside the chamber and the measured value of the sensor in the embodiments of this application. Detailed Implementation

[0013] This application provides a method and system for intelligent temperature and humidity control of an anti-condensation cable branch box. The terms "first," "second," "third," "fourth," etc. (if present) in the specification, claims, and accompanying drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments described herein can be implemented in a sequence other than that illustrated or described herein. Furthermore, the terms "comprising" or "having" and any variations thereof are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or devices.

[0014] For ease of understanding, the specific process of the embodiments of this application is described below. Please refer to [link / reference]. Figure 1 One embodiment of the intelligent temperature and humidity control method for anti-condensation cable branch boxes in this application includes: Step S1: Based on the real-time current of each outgoing circuit of the cable branch box, calculate the Joule heat power of each cable conductor using Joule's law, and sum the Joule heat power of each circuit to obtain the total Joule heat power. Specifically, the real-time current of each outgoing circuit is collected by a through-core current transformer installed at the outgoing port. The rated current of the secondary side of the transformer is 5A, and the transformation ratio is selected according to the rated current of the outgoing circuit. After conversion, the actual current of the primary side of each circuit is obtained. The Joule thermal power of each cable conductor is obtained by multiplying the square of the actual current by the corresponding conductor resistance. The conductor resistance depends on the conductor material, cross-sectional area, and effective length of the cable in the box. The DC resistance per unit length of copper conductor at 20℃ is obtained from the cable model parameter table, and the same applies to aluminum conductor. The total Joule thermal power obtained by summing the Joule thermal power of each circuit is the instantaneous total amount of heat injected into the air inside the box by all current-carrying cables under the current load condition. Its unit is watts, and it is updated on a rolling basis with a fixed sampling period of 2 seconds.

[0015] Step S2: Using the total Joule heat power as the heat source input, and combining the ambient temperature outside the chamber with the heat capacity of the chamber and the comprehensive heat transfer coefficient, the temperature of each wall surface of the chamber is dynamically estimated to obtain the estimated value of each wall surface temperature. Specifically, the physical meaning of the chamber's heat capacity is the amount of heat absorbed required to raise the chamber's temperature by 1°C. It is obtained by the product of the chamber wall material's density, specific heat capacity, and chamber wall volume. For SMC material, the density is taken as... The specific heat capacity is 1050 J / (kg·℃). The physical meaning of the comprehensive heat transfer coefficient is the amount of heat lost to the outside per unit time under a unit temperature difference in the chamber. It is obtained by multiplying the thermal conductivity of the chamber wall by the total wall area and then dividing by the wall thickness. Substituting the total Joule heat power into the heat balance recursive relationship discretized with a fixed sampling period, and combining the ambient temperature outside the chamber, the heat capacity of the chamber, and the comprehensive heat transfer coefficient, the air temperature inside the chamber is gradually calculated. Then, based on the ratio of the convective thermal resistance to the conductive thermal resistance of each wall surface, the inner surface temperature of each wall surface is calculated to obtain the estimated value of each wall surface temperature.

[0016] Step S3: Calculate the dew point temperature inside the chamber based on the measured temperature and relative humidity using the logarithmic relationship of saturated vapor pressure. Divide the estimated temperature of each wall surface with the dew point temperature to obtain the dew point margin of each wall surface. Based on the relationship between the dew point margin of each wall surface and the safety margin threshold, divide each wall surface into a self-heating sufficient zone and a self-heating vacuum zone. Specifically, the dew point temperature is the critical temperature at which water vapor condenses in the air inside the chamber under the current temperature and humidity conditions. It is calculated by substituting the measured temperature and relative humidity inside the chamber, based on the logarithmic linear relationship between saturated vapor pressure and temperature. The dew point margin for each wall surface is the difference between the estimated temperature and the dew point temperature of each wall surface. It represents how much temperature margin is left before condensation occurs on each wall surface. A positive difference indicates that the condensation conditions have not yet been met, and the smaller the difference, the higher the risk. The safety margin threshold is set at 3℃. The basis for this is that considering the superposition uncertainty of sensor measurement error and thermal field estimation deviation is usually within 1℃, setting it to 3℃ can retain an engineering safety margin of not less than 2℃ above the error range. Wall surfaces with a dew point margin below 3℃ are classified as self-heating vacuum zones, and walls with a dew point margin of not less than 3℃ are classified as self-heating sufficient zones. Self-heating sufficient zones do not require external compensation heating.

[0017] Step S4: For the self-heating vacuum zone, the differential compensation heating power is calculated by multiplying the difference between the safety margin threshold and the dew point margin of each wall surface by the corresponding wall surface thermal conductivity coefficient, and the heating element of the corresponding area is driven by a PWM signal to output the differential compensation heating power; at the same time, the rate of change of the real-time current is monitored, and when the rate of change exceeds the preset load drop threshold, pre-compensation power is added to the self-heating vacuum zone in advance. The duration of the pre-compensation power is determined by the ratio of the heat capacity of the box to the comprehensive heat transfer coefficient.

[0018] Specifically, the differentiated heating power is the result of calculating the minimum heat compensation required for each wall surface in the self-heating vacuum zone individually. The calculation method is the difference between the safety margin threshold and the dew point margin of that wall surface, multiplied by the thermal conductivity of that wall surface. The thermal conductivity is determined by the thermal conductivity of the chamber wall material, the wall area, and the wall thickness, and is expressed in W / ℃. The physical meaning of this product is the minimum heat power injected to raise the wall surface temperature precisely to the safety margin threshold. The duty cycle of the PWM signal is obtained by dividing the differentiated heating power by the rated power of the corresponding heating element. By adjusting the duty cycle, the output power of the heating element is adjusted so that each wall surface receives only the minimum heat it requires. The preset load drop threshold is set to 20% of the rated current within 10 seconds. The basis for this is that a rate of change below this is considered normal load fluctuation, while a rate exceeding this is considered a rapid load exit event, and Joule heat will be significantly reduced in a short period of time. The duration of the pre-compensation power is obtained by the ratio of the chamber's heat capacity to the overall heat transfer coefficient. This ratio is the chamber's thermal time constant, in seconds. 1.5 times the thermal time constant is taken as the pre-compensation duration to ensure that the temperature margin reserve is completed within the chamber's thermal inertia window.

[0019] In one specific embodiment, step S1 includes: Based on the secondary output current of each outgoing circuit current transformer and the corresponding transformer ratio, the ratio of each secondary output current is converted to obtain the actual primary current of each circuit. Based on the DC resistance per unit length of each cable conductor at 20℃, the effective length of the cable in the box and the measured temperature at the cable joint, the DC resistance per unit length is corrected by the conductor temperature resistivity to obtain the temperature-corrected resistance of each cable. Based on the actual primary current of each path and the temperature correction resistor of each path, the thermal power of each cable conductor is calculated using Joule's law to obtain the Joule thermal power of each path. The total Joule thermal power is obtained by summing the Joule thermal power of each path.

[0020] Specifically, each outgoing circuit is equipped with a through-type current transformer, with a rated secondary output of 5 amps. The controller synchronously collects the secondary output current of each circuit at a fixed sampling period of 2 seconds. The transformer ratio of each circuit is marked on the equipment nameplate and manually entered into the controller's non-volatile memory during the installation and commissioning phase; this information remains unchanged during operation. Multiplying the secondary output current of each circuit by the corresponding transformer ratio yields the actual primary current of each circuit, in amps. The DC resistance per unit length of each cable conductor at 20°C is obtained from the cable model parameter table and pre-stored in the controller. For copper conductors, the value ranges from 0.0754 to 0.524 ohms per kilometer, corresponding to a cross-sectional area of ​​50 square millimeters to 10 square millimeters. For aluminum conductors, the value is approximately 1.64 times that of copper conductors. The effective length of the cable inside the box is the actual length of that cable inside the box, manually measured and entered during installation and commissioning, in meters.

[0021] Since the actual operating temperature of the conductor is higher than 20℃, the resistance increases linearly with temperature. Directly calculating the resistance using the nominal value at 20℃ would result in an underestimation of the Joule thermal power. Therefore, a temperature correction is needed for the DC resistance per unit length based on the measured temperature at the cable joint. The temperature correction is calculated by multiplying the product of the DC resistance per unit length and the effective length of the cable inside the box by the temperature correction term. The temperature correction term consists of a value of 1 plus the product of the conductor's temperature resistivity and the difference between the measured temperature at the joint and 20 degrees Celsius. The temperature resistivity for copper conductors is taken as 0.00393 per degree Celsius, and for aluminum conductors as 0.00403 per degree Celsius. These values ​​are physical constants of the conductor materials, taken from the national standard cable parameter manual. The corrected temperature-corrected resistances are in ohms. The Joule thermal power for each circuit is obtained by multiplying the square of the actual primary current of each circuit by the corresponding temperature-corrected resistance, in watts. The Joule thermal power of all outgoing circuits is summed to obtain the total Joule thermal power, which is continuously refreshed every 2 seconds.

[0022] Figure 2This diagram illustrates the dynamic changes in total Joule thermal power and ambient temperature throughout the day in this embodiment of the application. The solid line represents the total Joule thermal power, calculated by temperature correction resistors and accumulated according to Joule's law, based on the actual primary current collected by the current transformers of each outgoing circuit, over time. The dashed line represents the ambient temperature change curve collected by the external weather sensor. As shown in the diagram, the total Joule thermal power reaches its peak during peak electricity consumption (10:00 to 14:00), generally consistent with the trend of ambient temperature change. This indicates that Joule thermal power has the strongest supporting effect on the temperature field inside the box when the load increases during the day, while it decreases significantly at night when the load decreases, decreasing synchronously with the ambient temperature. This is precisely the period when the advanced pre-compensation mechanism needs to intervene.

[0023] In one specific embodiment, step S2 includes: Based on the box's geometric dimensions, the density and specific heat capacity of the box wall material, the heat capacity of the material volume of each wall surface of the box is quantified to obtain the box's heat capacity; based on the thermal conductivity of the box wall material, the total wall area and wall thickness of the box, the overall heat transfer capacity of the box is quantified to obtain the comprehensive heat transfer coefficient. The total Joule heat power, the ambient temperature outside the chamber, the heat capacity of the chamber, and the comprehensive heat transfer coefficient are used to perform forward differential discretization and recursion on the dynamic thermal balance relationship of the air temperature inside the chamber at a fixed sampling period to obtain the air temperature inside the chamber at the current sampling time. Based on the air temperature inside the chamber and the ambient temperature outside the chamber, and according to the ratio of the convective thermal resistance to the conductive thermal resistance of each wall surface, steady-state heat conduction calculations are performed on the temperature distribution of the inner surface of each wall surface to obtain the estimated temperature of each wall surface.

[0024] Specifically, the heat capacity of the enclosure is obtained by summing the density and specific heat capacity of the enclosure wall materials and the volume of each wall material. The volume of each wall material is calculated by multiplying the corresponding wall area by the wall thickness. The wall area is converted from the geometric dimensions of the enclosure (length, width, and height). When the enclosure material is SMC composite material, the density is taken as 1850 kg / m³, the specific heat capacity as 1050 joules / kg / degree Celsius, and the wall thickness as 5 mm. These values ​​are physical constants of SMC material, taken from the material handbook. The overall heat transfer coefficient is obtained by multiplying the thermal conductivity of the enclosure wall materials by the total wall area and then dividing by the wall thickness. The thermal conductivity of SMC material is taken as 0.25 watts / meter / degree Celsius. The total wall area of ​​the enclosure is the sum of the areas of the six walls, calculated from the enclosure's geometric dimensions and then entered into the controller.

[0025] The forward differential discretization recursion is constructed as follows: taking the air temperature inside the chamber at the current sampling time as the initial value, subtracting the product of the comprehensive heat transfer coefficient and the temperature difference inside and outside the chamber from the sum of the total Joule heat power and the compensated heating power, dividing the resulting net heat power by the heat capacity of the chamber, multiplying it by the fixed sampling period of 2 seconds, and adding it to the current air temperature inside the chamber to obtain the air temperature inside the chamber at the next sampling time; this process is repeated cycle by cycle to form a dynamic estimation sequence of the air temperature inside the chamber. After obtaining the air temperature inside the chamber, the temperature of the inner surface of each wall is calculated using a steady-state heat conduction method: the convective thermal resistance inside the chamber is obtained by the reciprocal of the product of the natural convection heat transfer coefficient inside the chamber and the corresponding wall area. The natural convection heat transfer coefficient is taken as 8 watts per square meter per degree Celsius, which corresponds to the empirical value of natural convection in a vertical plate in still air; the thermal conductivity of the wall is obtained by dividing the wall thickness by the product of the thermal conductivity and the wall area; the temperature of the inner surface of each wall is obtained by adding the ambient temperature outside the chamber to the temperature difference between inside and outside the chamber multiplied by the ratio of the convective thermal resistance inside the chamber to the sum of the convective thermal resistance inside the chamber and the thermal conductivity of the wall. This ratio reflects the distribution of the temperature difference on the convection side, and the result is the estimated value of the temperature of each wall.

[0026] Figure 3 This diagram illustrates the comparison and verification between the estimated values ​​of the thermal balance model for the air temperature inside the enclosure and the measured values ​​from the sensors in this embodiment of the application. The solid line in the diagram represents the measured temperature sequence from the temperature and humidity sensors inside the enclosure, while the dashed line represents the estimated temperature sequence obtained through forward differential discretization and recursion based on the total Joule heat power, enclosure heat capacity, and overall heat transfer coefficient. The bar chart shows the time-by-time residuals between the two. As can be seen from the figure, the estimated values ​​and measured values ​​match well throughout the day, with the absolute value of the residuals not exceeding 0.5 degrees Celsius. This verifies that the thermal balance recursion model possesses sufficient computational accuracy under actual anti-condensation cable branch box operating conditions and can serve as a reliable input for subsequent calculations of the estimated temperatures of each wall surface.

[0027] In one specific embodiment, step S3 includes: Based on the measured temperature and relative humidity inside the chamber, the critical temperature for water vapor condensation under the current state of the air inside the chamber is calculated using the logarithmic linear relationship between saturated water vapor pressure and temperature, thus obtaining the dew point temperature. Based on the estimated temperature of each wall surface and the dew point temperature, the deviation of the inner surface temperature of each wall surface from the critical condensation state is calculated for each surface to obtain the dew point margin of each wall surface. The dew point margin of each wall surface is compared with the safety margin threshold for each surface to determine the condensation risk level of each wall surface and obtain the condensation risk status of each wall surface. Based on the condensation risk status of each wall surface, walls with a dew point margin not lower than the safety margin threshold are classified into the self-heating sufficient zone, and walls with a dew point margin lower than the safety margin threshold are classified into the self-heating vacuum zone.

[0028] Specifically, the dew point temperature is the critical temperature at which water vapor begins to condense in the air inside the chamber under the current temperature and humidity conditions. Its calculation is based on the logarithmic linear relationship between saturated vapor pressure and temperature. Specifically, it is calculated by adding the natural logarithm of the measured relative humidity inside the chamber to the product of the measured temperature inside the chamber and the saturated vapor pressure temperature coefficient, dividing by the sum of the saturated vapor pressure reference temperature and the measured temperature inside the chamber, and then subtracting the above result from the saturated vapor pressure temperature coefficient as the denominator. The product of the saturated vapor pressure reference temperature and the above result is then divided by the above to obtain the dew point temperature, expressed in degrees Celsius. The saturated vapor pressure temperature coefficient is taken as 17.625, and the saturated vapor pressure reference temperature is taken as 243.04 degrees Celsius. These two parameters are empirical constants of the Magnus formula. Within a temperature range of -40 degrees Celsius to +60 degrees Celsius and a relative humidity range of 10% to 100%, the calculation error does not exceed ±0.35 degrees Celsius, meeting the engineering accuracy requirements for anti-condensation control. The dew point margin for each wall surface is the difference between the estimated temperature of each wall surface and the dew point temperature. It is calculated independently for each surface. A positive difference indicates that the temperature of that wall surface is higher than the critical temperature for condensation. The smaller the difference, the closer the wall surface is to condensation.

[0029] The safety margin threshold is set at 3 degrees Celsius. This setting is based on the following: the measurement error of the internal temperature and humidity sensor does not exceed ±0.3 degrees Celsius; the thermal conductivity calculation deviation of the estimated wall temperatures does not exceed ±1 degree Celsius; and the maximum uncertainty after combining these two errors is approximately 1.3 degrees Celsius. Setting it to 3 degrees Celsius maintains an engineering safety margin of at least 1.7 degrees Celsius above the upper limit of error, preventing missed condensation reports due to measurement deviations. Walls with a dew point margin of at least 3 degrees Celsius are classified as self-heating sufficient zones, indicating that the Joule heat from the cable is sufficient to maintain the wall temperature within the safe condensation range, requiring no additional compensation heating. Walls with a dew point margin below 3 degrees Celsius are classified as self-heating vacuum zones, indicating that the current Joule heat contribution is insufficient to maintain the condensation safety margin of the wall, requiring differentiated compensation heating. The division between the self-heating sufficient zone and the self-heating vacuum zone is stored in the controller register as a wall-by-wall Boolean state, refreshed synchronously with the updates to the dew point temperature and estimated wall temperatures every 2 seconds.

[0030] In one specific embodiment, step S4, for the self-heating vacuum zone, calculates the differentiated compensation heating power by multiplying the difference between the safety margin threshold and the dew point margin of each wall surface by the corresponding wall surface thermal conductivity coefficient, and drives the heating element of the corresponding area to output the differentiated compensation heating power using a PWM signal, including: Based on the safety margin threshold and the dew point margin of each wall surface in the self-heating vacuum zone, the difference between the current dew point margin of each wall surface and the safety margin threshold is calculated for each surface to obtain the margin gap of each wall surface. Based on the margin gap of each wall surface and the corresponding wall surface thermal conductivity, the minimum thermal compensation required for each wall surface in the self-heating vacuum zone is multiplied for each surface to obtain the differentiated compensation heating power. Based on the differentiated compensation heating power and the rated power of the heating element in the corresponding area, the ratio of the required PWM duty cycle for each wall surface is calculated to obtain the PWM duty cycle for each wall surface. The PWM duty cycle of each wall surface is input into the PWM drive module to modulate and control the output power of the heating element in the corresponding area, thereby driving the corresponding heating element of each wall surface in the self-heating vacuum zone to output heating power according to the differentiated compensation.

[0031] Specifically, the margin gap for each wall surface is the difference between the safety margin threshold and the dew point margin of that wall surface. It reflects the amount of temperature that the current temperature of that wall surface is still short of the safety margin threshold, expressed in degrees Celsius. This calculation is performed only on each wall surface in the self-heating vacuum zone; walls in the self-heating sufficient zone are not included in this calculation. The corresponding wall surface thermal conductivity coefficient is obtained by multiplying the thermal conductivity of the wall surface material by the wall surface area and then dividing by the wall thickness, expressed in watts per degree Celsius. Its physical meaning is the amount of heat conducted by the wall surface per unit time under a unit temperature difference. The thermal conductivity coefficient of each wall surface is calculated based on the geometric parameters of the enclosure during the installation and commissioning phase and pre-stored in the controller. The differentiated compensation heating power is the product of the margin gap for each wall surface and the corresponding wall surface thermal conductivity coefficient. Its physical meaning is the minimum heat power injected to raise the temperature of that wall surface exactly to the safety margin threshold, expressed in watts. Each wall surface is calculated independently without interference.

[0032] The carrier frequency of the PWM drive module is fixed at 1 kHz. The PWM duty cycle of each wall surface is obtained by dividing the differential compensation heating power of the corresponding wall surface by the rated power of the heating element of that wall surface. The result is expressed as a percentage, ranging from 0 to 100. The heating elements are arranged according to the wall surface partitions. Each self-heating vacuum zone wall surface corresponds to an independent heating element. The rated power is determined based on the wall surface area and the maximum expected heat compensation requirement, and is pre-stored in the controller configuration file. Based on the PWM duty cycle of each wall surface, the PWM drive module controls the on / off duration of the corresponding heating element in each carrier cycle, so that the actual output power of the heating element is equal to the differential compensation heating power, realizing independent and precise heat compensation for each wall surface in the thermal vacuum zone. The PWM duty cycle of the heating element corresponding to the wall surface in the self-heating sufficient zone is forcibly set to zero, and no heat is output.

[0033] In one specific embodiment, step S4 simultaneously monitors the rate of change of the real-time current. When the rate of change exceeds a preset load drop threshold, pre-compensation power is added to the self-heating vacuum zone in advance, including: Based on the sampled values ​​of the real-time current of each outgoing circuit within a fixed monitoring window, the change in current per unit time of each circuit within the monitoring window is differentially calculated to obtain the rate of change of current for each circuit. Based on the rated current of each circuit and the preset load reduction ratio, the judgment boundary for rapid load reduction of each circuit is calculated by multiplying the two to obtain the load reduction threshold of each circuit. The current change rate of each circuit is compared with the load drop threshold of each circuit, and the load drop trend of each outgoing circuit is determined to obtain the load drop trigger flag. When the load drop trigger flag of any outgoing circuit is valid, the current PWM duty cycle of the corresponding heating element on each wall surface in the self-heating vacuum zone is forcibly increased, and the PWM duty cycle of each wall surface is increased to a preset pre-compensation duty cycle, driving the corresponding heating element to superimpose the pre-compensation power onto the self-heating vacuum zone in advance.

[0034] Specifically, the rate of change of current for each circuit is obtained by subtracting the initial sampling value of the current within the fixed monitoring window from the current within that window, and then dividing by the monitoring window duration. The unit is amperes per second (amperes per second), reflecting the average rate of decrease of the load current within the monitoring window. The fixed monitoring window duration is 10 seconds, corresponding to 5 sampling cycles. This value is based on the following: load fluctuations shorter than 10 seconds are considered normal operating disturbances, while a continuous decrease exceeding 10 seconds is considered a load shedding trend. Using 10 seconds effectively distinguishes between normal fluctuations and rapid load shedding events. The rated current for each circuit is determined by the current carrying capacity rating corresponding to the cable model of that circuit and is pre-stored in the controller configuration file. The preset load shedding ratio is 20% of the rated current. That is, a judgment is triggered when the current decrease exceeds 20% of the rated current within 10 seconds. The basis for setting this ratio is that a decrease of less than 20% is a common fluctuation in the normal operation of the distribution network, while a decrease exceeding 20% ​​indicates a significant load shedding, and the Joule heating will decrease significantly in the following minutes. The load shedding threshold for each circuit is the product of the rated current for that circuit and 20%, in amperes per second (amperes per second).

[0035] The absolute value of the current change rate of each circuit is compared with the corresponding load drop threshold for each circuit. When the absolute value of the current change rate of a circuit exceeds the load drop threshold for that circuit, the load drop trigger flag for that circuit is set to valid; otherwise, it remains invalid. Validity of the trigger flag for any outgoing circuit is considered a rapid load drop event for the entire enclosure. The trigger flag determination is executed continuously with a 2-second cycle. The preset pre-compensation duty cycle is 40%, based on the following: 40% corresponds to 40% of the rated power output of the heating element. This power level is sufficient to inject enough heat into the walls of the self-heating vacuum zone within the time window corresponding to the thermal time constant of the enclosure, while not exceeding the thermal stress limit for continuous operation of the heating element. After the trigger flag is valid, the PWM duty cycle of the corresponding heating element on each wall of the self-heating vacuum zone is forcibly covered by the current differentiated compensation duty cycle to 40%, driving the heating element to continuously output pre-compensated power until the pre-compensation duration ends and the differential compensation duty cycle is switched back.

[0036] In one specific embodiment, the duration of the pre-compensation power is determined by the ratio of the heat capacity of the housing to the overall heat transfer coefficient, including: Based on the heat capacity of the enclosure and the comprehensive heat transfer coefficient, the ratio of the heat storage time characteristic of the enclosure under the current thermal parameter state is calculated to obtain the thermal time constant of the enclosure. Based on the thermal time constant of the enclosure, the duration of the pre-compensation power is calculated by multiplying it by a fixed multiple to obtain the pre-compensation duration. After the load drop trigger flag is valid, the duration of the pre-compensation is used as the timing reference to control the duration of the pre-compensation duty cycle to obtain the pre-compensation timing status. When the pre-compensation timing status display ends, the PWM duty cycle of each wall surface is switched back from the pre-compensation duty cycle to the PWM duty cycle of each wall surface corresponding to the differentiated compensation heating power, thus completing the pre-compensation exit.

[0037] Specifically, the chamber thermal time constant is obtained by dividing the chamber's heat capacity by the overall heat transfer coefficient, measured in seconds. Its physical meaning is the time required for the temperature difference between the inside and outside of the chamber to decrease to approximately 37% of its initial value under conditions of no external heat source input, reflecting the rate at which the chamber's temperature responds to changes in the external environment. The chamber thermal time constant is updated synchronously with the online identification results of the chamber's heat capacity and overall heat transfer coefficient, using the latest thermal parameters calculated at the current sampling time. The pre-compensation duration is set at 1.5 times the chamber thermal time constant. The basis for this setting is: 1 times the thermal time constant corresponds to a temperature difference decrease to 37%, and 1.5 times can cover the stage where the temperature difference decreases to approximately 22%. Within this time window, continuous heating at 40% of the rated power is sufficient to establish a temperature reserve at least below the safety margin threshold on the wall of the self-heating vacuum zone, while avoiding ineffective operation of the heating element due to excessive duration.

[0038] From the moment the load reduction trigger flag becomes valid, the controller's built-in timer begins timing up to the maximum pre-compensation duration. The timer increments by 2 seconds every sampling period, and the pre-compensation timing status records the current accumulated timing duration. When the accumulated timing duration is less than the pre-compensation duration, the pre-compensation timing status is "not finished," and the heating elements on the walls of each thermal vacuum zone maintain a preset pre-compensation duty cycle of 40% output. When the accumulated timing duration reaches the pre-compensation duration, the pre-compensation timing status switches to "timing finished," and the controller switches the PWM duty cycle of each wall from 40% back to the PWM duty cycle of each wall recalculated from the differentiated compensation heating power at the current sampling time. The switchback target value is calculated in real time using the latest self-heating vacuum zone status and the dew point margin of each wall as inputs to ensure that the heating output after the switchback is consistent with the thermal field status inside the chamber at that time. The timer is reset synchronously, waiting to restart when the load reduction trigger flag becomes valid again.

[0039] The above describes the intelligent temperature and humidity control method for the anti-condensation cable branch box in the embodiments of this application. The following describes the intelligent temperature and humidity control system for the anti-condensation cable branch box in the embodiments of this application. One embodiment of the intelligent temperature and humidity control system for the anti-condensation cable branch box in the embodiments of this application includes: The calculation module is used to calculate the Joule heat power of each cable conductor based on the real-time current of each outgoing circuit of the cable branch box using Joule's law, and sum the Joule heat power of each circuit to obtain the total Joule heat power. The estimation module is used to take the total Joule heat power as a heat source input, and combine the ambient temperature outside the chamber with the heat capacity of the chamber and the comprehensive heat transfer coefficient to dynamically estimate the temperature of each wall surface of the chamber, and obtain the estimated value of the temperature of each wall surface. The difference module is used to calculate the dew point temperature inside the chamber based on the measured temperature and relative humidity inside the chamber using the logarithmic relationship of saturated water vapor pressure. The difference between the estimated temperature of each wall surface and the dew point temperature is used to obtain the dew point margin of each wall surface. Based on the relationship between the dew point margin of each wall surface and the safety margin threshold, each wall surface is divided into a self-heating sufficient zone and a self-heating vacuum zone. The output module is used to calculate the differentiated compensation heating power for the self-heating vacuum zone by multiplying the difference between the safety margin threshold and the dew point margin of each wall surface by the corresponding wall surface thermal conductivity coefficient, and drive the heating element of the corresponding area to output the differentiated compensation heating power using a PWM signal; at the same time, it monitors the rate of change of the real-time current, and when the rate of change exceeds the preset load drop threshold, it pre-compensates the power to the self-heating vacuum zone in advance. The duration of the pre-compensation power is determined by the ratio of the heat capacity of the enclosure to the comprehensive heat transfer coefficient.

[0040] This invention also provides an intelligent temperature and humidity control device for an anti-condensation cable branch box, which can be a server. The device includes a processor, memory, display screen, input device, network interface, and database connected via a system bus. The processor, designed as a computer, provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database stores the data corresponding to this embodiment. The network interface communicates with external terminals via a network connection. When the computer program is executed by the processor, it implements the above-described method.

[0041] The present invention also provides a computer-readable storage medium, which can be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium, wherein the computer-readable storage medium stores instructions that, when the instructions are executed on a computer, cause the computer to perform the steps of the intelligent temperature and humidity control method for the anti-condensation cable branch box.

[0042] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0043] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a temperature and humidity intelligent control device (which can be a personal computer, server, or network device, etc.) of an anti-condensation cable branch box to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0044] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for intelligent temperature and humidity control of an anti-condensation cable branch box, characterized in that, The method includes: Step S1: Based on the real-time current of each outgoing circuit of the cable branch box, calculate the Joule heat power of each cable conductor using Joule's law, and sum the Joule heat power of each circuit to obtain the total Joule heat power. Step S2: Using the total Joule heat power as the heat source input, and combining the ambient temperature outside the chamber with the heat capacity of the chamber and the comprehensive heat transfer coefficient, the temperature of each wall surface of the chamber is dynamically estimated to obtain the estimated value of each wall surface temperature. Step S3: Calculate the dew point temperature inside the chamber based on the measured temperature and relative humidity using the logarithmic relationship of saturated vapor pressure. Divide the estimated temperature of each wall surface with the dew point temperature to obtain the dew point margin of each wall surface. Based on the relationship between the dew point margin of each wall surface and the safety margin threshold, divide each wall surface into a self-heating sufficient zone and a self-heating vacuum zone. Step S4: For the self-heating vacuum zone, the differential compensation heating power is calculated by multiplying the difference between the safety margin threshold and the dew point margin of each wall surface by the corresponding wall surface thermal conductivity coefficient, and the heating element of the corresponding area is driven by a PWM signal to output the differential compensation heating power; at the same time, the rate of change of the real-time current is monitored, and when the rate of change exceeds the preset load drop threshold, pre-compensation power is added to the self-heating vacuum zone in advance. The duration of the pre-compensation power is determined by the ratio of the heat capacity of the box to the comprehensive heat transfer coefficient.

2. The intelligent temperature and humidity control method for the anti-condensation cable branch box according to claim 1, characterized in that, Step S1 includes: Based on the secondary output current of each outgoing circuit current transformer and the corresponding transformer ratio, the ratio of each secondary output current is converted to obtain the actual primary current of each circuit. Based on the DC resistance per unit length of each cable conductor at 20℃, the effective length of the cable in the box and the measured temperature at the cable joint, the DC resistance per unit length is corrected by the conductor temperature resistivity to obtain the temperature-corrected resistance of each cable. Based on the actual primary current of each path and the temperature correction resistor of each path, the thermal power of each cable conductor is calculated using Joule's law to obtain the Joule thermal power of each path. The total Joule thermal power is obtained by summing the Joule thermal power of each path.

3. The intelligent temperature and humidity control method for the anti-condensation cable branch box according to claim 1, characterized in that, Step S2 includes: Based on the box's geometric dimensions, the density and specific heat capacity of the box wall material, the heat capacity of the material volume of each wall surface of the box is quantified to obtain the box's heat capacity; based on the thermal conductivity of the box wall material, the total wall area and wall thickness of the box, the overall heat transfer capacity of the box is quantified to obtain the comprehensive heat transfer coefficient. The total Joule heat power, the ambient temperature outside the chamber, the heat capacity of the chamber, and the comprehensive heat transfer coefficient are used to perform forward differential discretization and recursion on the dynamic thermal balance relationship of the air temperature inside the chamber at a fixed sampling period to obtain the air temperature inside the chamber at the current sampling time. Based on the air temperature inside the chamber and the ambient temperature outside the chamber, and according to the ratio of the convective thermal resistance to the conductive thermal resistance of each wall surface, steady-state heat conduction calculations are performed on the temperature distribution of the inner surface of each wall surface to obtain the estimated temperature of each wall surface.

4. The intelligent temperature and humidity control method for the anti-condensation cable branch box according to claim 1, characterized in that, Step S3 includes: Based on the measured temperature and relative humidity inside the chamber, the critical temperature for water vapor condensation under the current state of the air inside the chamber is calculated using the logarithmic linear relationship between saturated water vapor pressure and temperature, thus obtaining the dew point temperature. Based on the estimated temperature of each wall surface and the dew point temperature, the deviation of the inner surface temperature of each wall surface from the critical condensation state is calculated for each surface to obtain the dew point margin of each wall surface. The dew point margin of each wall surface is compared with the safety margin threshold for each surface to determine the condensation risk level of each wall surface and obtain the condensation risk status of each wall surface. Based on the condensation risk status of each wall surface, walls with a dew point margin not lower than the safety margin threshold are classified into the self-heating sufficient zone, and walls with a dew point margin lower than the safety margin threshold are classified into the self-heating vacuum zone.

5. The intelligent temperature and humidity control method for the anti-condensation cable branch box according to claim 4, characterized in that, Step S4, for the self-heating vacuum zone, calculates the differentiated compensation heating power by multiplying the difference between the safety margin threshold and the dew point margin of each wall surface by the corresponding wall surface thermal conductivity coefficient, and drives the heating element of the corresponding area to output the differentiated compensation heating power using a PWM signal, including: Based on the safety margin threshold and the dew point margin of each wall surface in the self-heating vacuum zone, the difference between the current dew point margin of each wall surface and the safety margin threshold is calculated for each surface to obtain the margin gap of each wall surface. Based on the margin gap of each wall surface and the corresponding wall surface thermal conductivity, the minimum thermal compensation required for each wall surface in the self-heating vacuum zone is multiplied for each surface to obtain the differentiated compensation heating power. Based on the differentiated compensation heating power and the rated power of the heating element in the corresponding area, the ratio of the required PWM duty cycle for each wall surface is calculated to obtain the PWM duty cycle for each wall surface. The PWM duty cycle of each wall surface is input into the PWM drive module to modulate and control the output power of the heating element in the corresponding area, thereby driving the corresponding heating element of each wall surface in the self-heating vacuum zone to output heating power according to the differentiated compensation.

6. The intelligent temperature and humidity control method for the anti-condensation cable branch box according to claim 5, characterized in that, Step S4 simultaneously monitors the rate of change of the real-time current. When the rate of change exceeds a preset load drop threshold, pre-compensation power is added to the self-heating vacuum zone in advance, including: Based on the sampled values ​​of the real-time current of each outgoing circuit within a fixed monitoring window, the change in current per unit time of each circuit within the monitoring window is differentially calculated to obtain the rate of change of current for each circuit. Based on the rated current of each circuit and the preset load reduction ratio, the judgment boundary for rapid load reduction of each circuit is calculated by multiplying the two to obtain the load reduction threshold of each circuit. The current change rate of each circuit is compared with the load drop threshold of each circuit, and the load drop trend of each outgoing circuit is determined to obtain the load drop trigger flag. When the load drop trigger flag of any outgoing circuit is valid, the current PWM duty cycle of the corresponding heating element on each wall surface in the self-heating vacuum zone is forcibly increased, and the PWM duty cycle of each wall surface is increased to a preset pre-compensation duty cycle, driving the corresponding heating element to superimpose the pre-compensation power onto the self-heating vacuum zone in advance.

7. The intelligent temperature and humidity control method for the anti-condensation cable branch box according to claim 6, characterized in that, The duration of the pre-compensation power is determined by the ratio of the heat capacity of the enclosure to the overall heat transfer coefficient, including: Based on the heat capacity of the enclosure and the comprehensive heat transfer coefficient, the ratio of the heat storage time characteristic of the enclosure under the current thermal parameter state is calculated to obtain the thermal time constant of the enclosure. Based on the thermal time constant of the enclosure, the duration of the pre-compensation power is calculated by multiplying it by a fixed multiple to obtain the pre-compensation duration. After the load drop trigger flag is valid, the duration of the pre-compensation is used as the timing reference to control the duration of the pre-compensation duty cycle to obtain the pre-compensation timing status. When the pre-compensation timing status display ends, the PWM duty cycle of each wall surface is switched back from the pre-compensation duty cycle to the PWM duty cycle of each wall surface corresponding to the differentiated compensation heating power, thus completing the pre-compensation exit.

8. A temperature and humidity intelligent control system for an anti-condensation cable branch box, characterized in that, A method for intelligent temperature and humidity control of an anti-condensation cable branch box as described in any one of claims 1-7, wherein the intelligent temperature and humidity control system of the anti-condensation cable branch box comprises: The calculation module is used to calculate the Joule heat power of each cable conductor based on the real-time current of each outgoing circuit of the cable branch box using Joule's law, and sum the Joule heat power of each circuit to obtain the total Joule heat power. The estimation module is used to take the total Joule heat power as a heat source input, and combine the ambient temperature outside the chamber with the heat capacity of the chamber and the comprehensive heat transfer coefficient to dynamically estimate the temperature of each wall surface of the chamber, and obtain the estimated value of the temperature of each wall surface. The difference module is used to calculate the dew point temperature inside the chamber based on the measured temperature and relative humidity inside the chamber using the logarithmic relationship of saturated water vapor pressure. The difference between the estimated temperature of each wall surface and the dew point temperature is used to obtain the dew point margin of each wall surface. Based on the relationship between the dew point margin of each wall surface and the safety margin threshold, each wall surface is divided into a self-heating sufficient zone and a self-heating vacuum zone. The output module is used to calculate the differentiated compensation heating power for the self-heating vacuum zone by multiplying the difference between the safety margin threshold and the dew point margin of each wall surface by the corresponding wall surface thermal conductivity coefficient, and drive the heating element of the corresponding area to output the differentiated compensation heating power using a PWM signal; at the same time, it monitors the rate of change of the real-time current, and when the rate of change exceeds the preset load drop threshold, it pre-compensates the power to the self-heating vacuum zone in advance. The duration of the pre-compensation power is determined by the ratio of the heat capacity of the enclosure to the comprehensive heat transfer coefficient.

9. A temperature and humidity intelligent control device for an anti-condensation cable branch box, characterized in that, It includes a memory and a processor, the memory storing a computer program that can run on the processor, and the processor executing the computer program to implement the intelligent temperature and humidity control method for the anti-condensation cable branch box according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is run by the processor, it causes the processor to execute the intelligent temperature and humidity control method for the anti-condensation cable branch box as described in any one of claims 1 to 7.

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