Communication cabinet uniform flow field-oriented temperature and humidity combined intelligent control system

Abstract

The present application relates to the technical field of intelligent operation and maintenance, and discloses a temperature and humidity combined intelligent regulation and control system for a uniform flow field of a communication cabinet, comprising: establishing a reference surface along the height of the cabinet and dividing three observation sections, and obtaining initial humid heat baseline data under the locked fan speed; extracting the water vapor release response of the flow passage area by applying a wind speed pulse; generating the actual air residence time in combination with the equivalent flow path length and the normal wind speed, and comprehensively converting the dew point margin of each observation section; selecting the observation section with the lowest dew point margin as the dominant regulation and control target, calculating the humidity residence intensity, generating the fan target speed, the supply air dew point target and the supply air dry bulb temperature target accordingly, and issuing them to the corresponding execution module. The present application overcomes the residence deviation caused by the equal speed and different humidity under the uniform flow pattern, and avoids the hidden failure risk of the simultaneous existence of local condensation and low humidity static electricity in the cabinet.

Description

Technical Field

[0001] This invention relates to the field of intelligent operation and maintenance technology, and more specifically, to a temperature and humidity combined intelligent control system for a uniform flow field in communication cabinets. Background Technology

[0002] Communication cabinets typically house high-heat-density electronic communication units. To ensure balanced airflow for each component, modern communication cabinets often employ a bottom-to-top or front-to-back internal circulation airflow system, relying on components such as flow equalization plates, guide plates, and blind plates to create a uniform airflow field. This uniform airflow layout effectively reduces sensible heat temperature differences and significantly decreases localized hot spots within the equipment. However, due to differences in the insertion depth of different modules, device power consumption, cable tray obstruction, and resistance differences in the edges of the U-shaped baffles, the actual flow path impedance distribution after the uniform airflow passes through the reference plane is uneven, resulting in inconsistent actual residence times of air in different areas of the cabinet. Although the overall temperature field tends to stabilize under the uniform airflow cooling effect, the relative humidity changes with temperature, and the humidity field is also affected by the superposition of external moisture micro-infiltration, PCB moisture absorption and desorption, and water vapor transport paths.

[0003] In actual engineering operations, the air temperature and relative humidity collected by conventional temperature and humidity sensors often show acceptable and stable average values. However, due to the influence of heat conduction paths, external day-night temperature differences, and compressor start-up and shutdown status, the temperature of cold wall surfaces such as cold-end heat exchangers, metal guide rails, and cable shielding layers does not change synchronously with the bulk air temperature. When microchannels with long residence times overlap with water vapor micro-sources, high water vapor partial pressure will form locally; and the high-speed low-resistance bypass is rapidly flushed, making it prone to excessive drying. Existing environmental control strategies usually blindly increase fan speed or decrease supply air temperature based on a single point temperature being too high, or perform global proportional dehumidification based on the average relative humidity index. In the flow equalization cabinet, global excessive dehumidification will exacerbate the dryness of the low-resistance bypass, causing static electricity accumulation; while simply increasing the air volume, if it leads to a further decrease in the surface temperature of the cold wall, will accelerate water vapor condensation around the metal cold wall. This isothermal and heterogeneous humidity retention problem caused by the weakening of sensible heat differences by the uniform flow wind field makes it difficult for conventional extensive temperature and humidity control mechanisms to cope with the hidden failure conditions where local condensation corrosion and low humidity static electricity occur simultaneously. Summary of the Invention

[0004] This invention provides a temperature and humidity combined intelligent control system for uniform flow fields in communication cabinets, which solves the technical problems mentioned in the background art.

[0005] This invention provides a temperature and humidity combined intelligent control system for a uniform airflow field in communication cabinets. It is applied to a communication cabinet comprising an internal circulation air path, cabinet door panel, cabinet metal frame, cabinet return air side, airflow equalization structure, circulating fan, cold end dehumidification module, and supply air temperature adjustment module, including: A flow equalization reference surface was established and divided into three observation segments along the height of the cabinet. The dry-bulb temperature, relative humidity, normal wind speed and metal surface temperature of the air in the three observation segments were collected respectively. The circulating fan is locked to the set flow equalization calibration speed to obtain steady-state initial humid heat baseline data without introducing new water vapor; Apply wind speed pulses to the circulating fan, extract the water vapor release response of the corresponding flow channel area of ​​the three observation sections, and record the pulse response state data; Based on the pulse response state data and the steady-state initial humid and hot baseline data, the relative humidity is converted into actual water vapor partial pressure and dew point temperature. Combined with the equivalent flow path length from the flow equalization reference surface to the return air side of the cabinet and the actual residence time of the air generated by the normal wind speed, the comprehensive dew point margin of each observation segment is obtained. The observation segment with the target extreme value characteristics of the comprehensive dew point margin is selected as the dominant control observation segment to obtain the moisture retention intensity, and the target fan speed, supply air dew point target and supply air dry bulb temperature target are generated accordingly. Drive the circulating fan according to the target speed of the fan, and refresh the target air volume in the flow channel area corresponding to the main control observation section; The supply air dew point target is sent to the cold end dehumidification module for latent heat regulation, and the supply air dry bulb temperature target is sent to the supply air temperature regulation module for sensible heat regulation. The target fan speed, the target dry-bulb temperature of the supply air, and the target dew point of the supply air are encapsulated into a set of control instructions and output.

[0006] Beneficial effects include: by establishing a three-segment benchmark observation system and introducing wind speed pulses to reveal the water vapor bias state in the concealed flow channel, integrating dew point margin with actual air residence time, locating high-risk condensation sites, and then decoupling output commands for air volume refresh, latent heat dehumidification, and sensible heat regulation. This invention overcomes the failure risk of the equipment having qualified overall temperature and humidity indicators under uniform wind fields but with condensation at the cold end of internal metal and static electricity in high-speed channels, and improves the environmental adaptability and operational reliability of communication cabinets under complex thermal load conditions. Attached Figure Description

[0007] Figure 1 This is a schematic diagram of the three-segment reference observation system of the present invention; Figure 2 This is a schematic diagram of the wind speed pulse and water vapor release response of the present invention; Figure 3 This is a schematic diagram of the dew point margin calculation and control target generation mechanism of the present invention. Detailed Implementation

[0008] The subject matter described herein will now be discussed with reference to exemplary embodiments. It should be understood that these embodiments are discussed only to enable those skilled in the art to better understand and implement the subject matter described herein, and changes may be made to the function and arrangement of the elements discussed without departing from the scope of this specification. Various processes or components may be omitted, substituted, or added as needed in the examples. Furthermore, features described in some examples may be combined in other examples.

[0009] As an optional application scenario of this invention, the method provided by this invention can be applied to a communication cabinet environment control system. The following details each execution step of the method: A combined temperature and humidity intelligent control system for communication cabinets, designed for uniform airflow, is applied to communication cabinets that include an internal circulation air path, cabinet doors, metal frame, return air side, airflow equalization structure, circulating fan, cold end dehumidification module, and supply air temperature control module. The system includes: A flow equalization reference surface was established and divided into three observation segments along the height of the cabinet. The dry-bulb temperature, relative humidity, normal wind speed and metal surface temperature of the air in the three observation segments were collected respectively. The circulating fan is locked to the set flow equalization calibration speed to obtain steady-state initial humid heat baseline data without introducing new water vapor; Apply wind speed pulses to the circulating fan, extract the water vapor release response of the corresponding flow channel area of ​​the three observation sections, and record the pulse response state data; Based on the pulse response state data and the steady-state initial humid and hot baseline data, the relative humidity is converted into actual water vapor partial pressure and dew point temperature. Combined with the equivalent flow path length from the flow equalization reference surface to the return air side of the cabinet and the actual residence time of the air generated by the normal wind speed, the comprehensive dew point margin of each observation segment is obtained. The observation segment with the target extreme value characteristics of the comprehensive dew point margin is selected as the dominant control observation segment to obtain the moisture retention intensity, and the target fan speed, supply air dew point target and supply air dry bulb temperature target are generated accordingly. Drive the circulating fan according to the target speed of the fan, and refresh the target air volume in the flow channel area corresponding to the main control observation section; The supply air dew point target is sent to the cold end dehumidification module for latent heat regulation, and the supply air dry bulb temperature target is sent to the supply air temperature regulation module for sensible heat regulation. The target fan speed, the target dry-bulb temperature of the supply air, and the target dew point of the supply air are encapsulated into a set of control instructions and output.

[0010] S201, define the flow equalization reference surface at a specified interval on the leeward side of the flow equalization structure.

[0011] Specifically, the flow equalization structure includes a flow equalization plate, a flow guide cavity, or an air inlet surface of the equipment inside the communication cabinet. In some optional embodiments, the specified spacing ranges from 10 mm to 30 mm. Further, the parallel cross-section corresponding to this specified spacing is used as the flow equalization reference plane. This embodiment, by using a value of 10 mm to 30 mm, can accurately map the airflow state about to enter the communication module inside the communication cabinet while avoiding airflow disturbances at the boundary layer of the flow equalization structure surface.

[0012] S202 divides the flow equalization reference surface into three observation sections: upper, middle, and lower.

[0013] Specifically, along the height of the communication cabinet, the two-dimensional current-equalizing reference plane is divided into three equal sections from top to bottom, corresponding to the upper observation section, middle observation section, and lower observation section. In some optional embodiments, the three observation sections correspond to physical airflow areas inside the communication cabinet with different aerodynamic impedances and different channel depths. Further, the above divisions respectively map to local spaces with high and low resistance differences, such as multi-layer insert frames, wiring harness side seams, or blind plate edge seams.

[0014] S203, a temperature, humidity and wind composite sensor is set up in the central area of ​​each observation section to collect the dry-bulb temperature, relative humidity and normal wind speed.

[0015] Specifically, the temperature and humidity air composite sensor employs a wall-mounted composite structure probe, positioned near the geometric center of each of the aforementioned observation sections. Its structural thickness extending into the mainstream airflow area of ​​the communication cabinet is set to no more than 8 mm. In some optional embodiments, the straight-line distance between the installation position of the temperature and humidity air composite sensor and the air outlet of the cold-end heat exchanger inside the communication cabinet is no less than 120 mm, while the distance between this installation position and the door panel gap, cable hole, or maintenance lighting opening of the communication cabinet is no less than 80 mm. Furthermore, through the aforementioned limitations on the placement and dimensions, the temperature and humidity air composite sensor synchronously outputs the dry-bulb temperature, relative humidity, and normal wind speed perpendicularly passing through the plane of the corresponding observation section during operation.

[0016] S204. Surface temperature sensors are arranged on the metal frame of the cabinet at the position corresponding to each observation segment to collect the metal surface temperature reflecting the reference state of the observation segment.

[0017] Specifically, the surface temperature sensor is a thin-film contact surface probe, and the metal frame of the cabinet is selected to have the lowest condensation sensitivity characteristics within the height range of each observation section. In some optional embodiments, the specific component includes an internal vertical guide rail or cable shielding clamp, and the surface temperature sensor is positioned to avoid the heat sink of the internal heat-generating chip or power device. Furthermore, during data acquisition by the sensor, the working environment of the communication cabinet system is kept sealed, the cabinet door is locked, the blind plates corresponding to the empty slots inside the cabinet are installed, and the external cable hole seals are physically compressed. Under these conditions, the metal surface temperature recorded and output by the surface temperature sensor represents the static metal boundary cold end temperature under the reference state of the observation section.

[0018] S301, while keeping the cabinet door closed, fix the speed of the circulating fan to a first specified ratio of the rated speed of the circulating fan to obtain the flow equalization calibration speed.

[0019] Specifically, during operation and testing, the communication cabinet needs to block interference from the micro-permeation of external environmental moisture, and the control system maintains the cabinet doors in a physically locked state. In some optional implementations, the control unit obtains the rated speed of the circulating fan based on its design attributes and sets a first specified ratio. The preferred value range for the first specified ratio is 60% to 70%. Using this ratio can overcome the aerodynamic resistance caused by the internal communication equipment mounting frames and blind plates while avoiding unnecessary high air supply power consumption. Further, the control unit multiplies the rated speed of the circulating fan by the first specified ratio for calculation. Finally, the obtained product value is defined as the flow-averaging calibration speed, and the control command drives the circulating fan to operate continuously at this constant speed.

[0020] S302, maintain the normal wind speed of any observation segment on the flow uniformity reference plane greater than the set lower limit threshold wind speed.

[0021] Specifically, when the circulating fan operates at the calibrated speed for flow equalization, the air in each observation section needs to possess basic flow characteristics for effective data capture. In some optional implementations, the lower limit threshold for wind speed is set to 0.15 meters per second. The flow equalization reference plane is divided into three regions: upper, middle, and lower. The normal wind speed value collected by the sensors arranged within any region must be within the operating range greater than 0.15 meters per second. Furthermore, if the normal wind speed in a specific observation section does not reach the lower limit threshold, it indicates that the airflow in that flow channel region is severely stagnant, and the calculation of the internal physical residence time will exhibit an infinite drift phenomenon. A normal wind speed value greater than the lower limit threshold allows the sensor data to accurately reflect the physical steady-state distribution characteristics constituted by natural water vapor and flow channel resistance inside the cabinet.

[0022] S303 operates at the rated speed for the first airflow transition phase, allowing the flow field inside the cabinet to reach a steady state.

[0023] Specifically, after the internal circulating fan adjusts and fixes its speed to the uniform flow calibration speed, the airflow trajectory and heat transfer distribution within the cabinet need to undergo a period of dynamic equilibrium adjustment. In some optional implementations, the system is configured to operate for 60 seconds during the first airflow transition phase. During this 60-second operation, the airflow action of the circulating fan causes the airflow inside the cabinet to gradually develop from a transient irregular distribution state and converge into a stable streamline distribution state under the physical constraint of the flow guiding device. Furthermore, during the first airflow transition phase, the system only performs physical flow field purging and aerodynamic balance replacement, without triggering data calculation and retention actions of monitoring modules such as temperature and humidity sensors.

[0024] S304, when the first airflow transition phase is completed, collect the dry-bulb temperature, relative humidity, normal wind speed and metal surface temperature of the air during this period according to the first sampling cycle.

[0025] Specifically, when the first airflow transition phase ends after 60 seconds, the system initiates the formal measurement data acquisition and recording process. In some optional implementations, the data acquisition process is set to last for 120 seconds, during which the system retrieves the first sampling period to perform a data polling operation; the preferred value for this first sampling period is 1 second. Further, during the 120-second duration, the system synchronously reads and records the current dry-bulb temperature, relative humidity, normal wind speed, and metal surface temperature reflecting the cold wall characteristics of the communication equipment for all observation segments every 1-second interval. Throughout the entire acquisition period, multiple sets of continuous discrete physical state observation sequences are generated.

[0026] S305 performs time-averaged processing on the collected parameters to generate steady-state initial damp-heat baseline data.

[0027] Specifically, time-averaging processing refers to filtering out single-measurement fluctuations caused by inherent sensor thermal noise or minor local airflow pulsations through arithmetic calculations. In some optional implementations, for each observation segment, the system calculates the arithmetic mean of multiple consecutive sets of dry-bulb temperature, relative humidity, normal wind speed, and metal surface temperature sequences by summing all discrete values ​​obtained at each sampling time within a single feature sequence and dividing by the total number of samples included in that feature sequence. Further, this process eliminates high-frequency interference features and merges and packages the four mean results. Finally, the output dataset is the steady-state initial humidity and heat baseline data, which reflects the static physical properties of the pure background airflow structure and existing moisture within the cabinet under conditions free from artificial control disturbances.

[0028] S401 controls the speed of the circulating fan to increase from the flow equalization calibration speed to the pulse target speed, and sets the pulse target speed between the flow equalization calibration speed and the safe speed threshold of the circulating fan.

[0029] Specifically, the system sends an acceleration command to the control node, driving the circulating fan's speed to increase from a predetermined flow-averaging calibration speed at a fixed slope. The duration of this acceleration process is set to 15 seconds. In some optional implementations, 1.25 times the flow-averaging calibration speed is calculated as the pulse target speed, and 85% of the circulating fan's rated speed is extracted as the safe speed threshold. Further, the pulse target speed is numerically limited by comparison logic, ensuring it is greater than the flow-averaging calibration speed and less than or equal to the safe speed threshold. Applying this limited-amplitude speed increment alters the air confinement state in the long-stay channels inside the communication cabinet, pushing the accumulated moisture in the deep microchannels outwards to the test plane, while simultaneously preventing excessive speed from causing physical damage to internal communication equipment or exceeding system power consumption limits.

[0030] S402, maintain the target rotation speed of the pulse to the first dwell stage, and simultaneously record the various state parameters of the three observation segments within the target sampling interval of the first dwell stage as pulse response state data.

[0031] Specifically, after reaching the target pulse speed, the circulating fan transitions to constant speed operation, the duration of which is configured as the first dwell phase, specifically 90 seconds. In some optional implementations, this 90-second time axis is divided into intervals, with the final 60 seconds selected as the target sampling interval. Furthermore, no data is stored during the first 30 seconds of aerodynamic transition before entering the first dwell phase. After entering the target sampling interval, sensors in the three observation segments simultaneously capture the currently flowing air dry-bulb temperature, relative humidity, normal wind speed, and metal surface temperature. Finally, this set of physical quantities, dynamically changing under wind pulse excitation and centrally recorded, is integrated and defined as pulse response state data, directly reflecting the water vapor release characteristics hidden deep within the complex wind path structure.

[0032] S403 restores the speed of the circulating fan to the uniform flow calibration speed and maintains the set flow field recovery stage.

[0033] Specifically, at the end of the first residence phase, the system controls the circulating fan to move away from the target pulse speed and begin deceleration. In some optional implementations, the deceleration process also employs a linear adjustment method, with the time taken to return to the flow-averaging calibration speed set at 15 seconds. Further, when the speed stabilizes again at the flow-averaging calibration speed, the system starts a timer and maintains this operating state for 30 seconds; this 30-second period of stable operation is the flow field recovery phase. Finally, the flow field recovery phase aims to dissipate the additional aerodynamic energy remaining in the communication cabinet space after the wind speed pulse, guiding the airflow in each branch channel within the cabinet to gradually return to the stable baseline level before pulse excitation.

[0034] S404 maintains the cold end dehumidification module in a smooth drainage state throughout the entire process of applying wind speed pulses, and limits the sudden change amplitude of normal wind speed in each observation section to suppress data acquisition distortion.

[0035] Specifically, the entire process of applying the wind speed pulse encompasses the aforementioned acceleration phase, the first dwell phase, and the deceleration phase, which returns to the calibration value. In some optional implementations, throughout this entire period, the control node forcibly locks the condensate drain pipe of the cold-end dehumidification module in the open position, without obstructing the gravity discharge path of liquid water, while simultaneously blocking the operating logic of any active humidification components within the cabinet. Further, in the real-time monitoring of the wind speed sensor, the rate of change of the normal wind speed value for each observation segment is calculated every second and compared with the average rate of change of the normal wind speed for adjacent observation segments. The program logic limits the rate of change of the normal wind speed value for any observation segment to no more than 2.5 times the average rate of change of adjacent observation segments. If a ratio exceeding this 2.5 times boundary is detected, it is determined that an unnatural disturbance caused by physical obstruction of the probe or local flow channel stall has occurred. This mechanism for limiting the abrupt change in normal wind speed eliminates false local pulse response signals, thereby suppressing data acquisition distortion.

[0036] S501 converts the dry-bulb temperature of the air into the target saturated water vapor partial pressure based on the thermodynamic equation of state for each observation segment.

[0037] Specifically, the system performs independent mathematical transformation operations for the three divided regions: upper, middle, and lower. This transformation logic is based on the pure water vapor pressure mapping relationship. In some optional implementations, during calculation, the target saturated water vapor partial pressure is equal to the constant 0.61078 multiplied by a specific power of the natural constant. The exponent of this specific power is a fractional structure. The numerator of this fractional structure is the product of the constant 17.2694 and the dry-bulb temperature of the air collected in the corresponding observation segment. The denominator of this fractional structure is the sum of the aforementioned dry-bulb temperature and the constant 237.3. Furthermore, this transformation process converts the temperature parameter, which is easily affected by sensible heat fluctuations in space, into a pure pressure parameter reflecting the absolute water vapor saturation state.

[0038] S502, combining relative humidity and target saturated water vapor partial pressure to construct the actual water vapor partial pressure of this observation segment.

[0039] Specifically, after mapping the water vapor pressure under saturation, the control logic superimposes the actual acquired humidity ratio to anchor the true water vapor content in the air. In some optional implementations, the specific construction calculation method is as follows: extract the relative humidity value recorded synchronously within the observation segment, divide the relative humidity value by a constant of 100, and obtain a decimal quotient representing the humidity ratio. Further, multiply this quotient by the target saturated water vapor partial pressure calculated for the corresponding observation segment, and the product result is defined as the actual water vapor partial pressure of the observation segment. This construction method eliminates the misleading isothermal humidity variation associated with simple relative humidity, restoring the percentage reading to the actual gas pressure state existing in the physical space of the communication cabinet.

[0040] S503 extracts the corresponding dew point temperature through the parameter mapping relationship of actual water vapor partial pressure.

[0041] Specifically, the dew point temperature represents the critical threshold at which water vapor in the air within the corresponding flow channel region begins to condense due to a drop in temperature. The analytical process for extracting this dew point temperature involves the inverse derivation of the natural logarithm. In some optional implementations, the calculation unit first divides the actual water vapor partial pressure by a constant 0.61078 to obtain a pressure ratio, and then calculates the natural logarithm of this pressure ratio as an intermediate calculation variable. Next, the extracted dew point temperature value is equal to the product of the constant 237.3 and the aforementioned intermediate calculation variable, used as the dividend. The difference between the constant 17.2694 and the aforementioned intermediate calculation variable is used as the divisor. Finally, the final quotient obtained by dividing the dividend by the divisor is the dew point temperature of the corresponding observation segment.

[0042] S504, combining the equivalent flow path length and normal wind speed, uses the aerodynamic time function to solve for the actual residence time of air in the corresponding flow channel region.

[0043] Specifically, due to objective differences in the depth of communication module insertion frames, blind plate boundaries, and the degree of wire harness obstruction at different height levels within the communication cabinet, an aerodynamic time function is used to quantify the actual time taken for each airflow path to traverse the depth of the cabinet structure. In some optional implementations, the calculation module first extracts the equivalent flow path length from the flow equalization reference plane to the return air side of the cabinet. This parameter represents the average path distance of airflow within the current observation section. Further, the calculation module then compares the normal wind speed value collected in this observation section with a fixed lower wind speed threshold within the system, extracting the larger of the two values ​​as the denominator. This lower wind speed threshold is fixed at 0.15 meters per second, designed to avoid arithmetic division by zero or infinite overflow faults caused by extremely low wind speeds at measurement points due to local flow channel blockage. Finally, the equivalent flow path length is divided by the selected maximum denominator, and the calculated quotient is determined as the actual air residence time.

[0044] S505 integrates metal surface temperature, dew point temperature, and dew point compensation related to the actual residence time of air to generate a comprehensive dew point margin through a multivariate state conversion model.

[0045] Specifically, the multi-state conversion model combines the static thermodynamic condensation defense line with the dynamic flow field water vapor retention accumulation effect into a comprehensive judgment index. In some optional implementations, the conversion process unfolds as follows: the control module subtracts the corresponding calculated dew point temperature and the set dew point safety margin from the metal surface temperature measured in the observation segment to generate a basic margin value, where the dew point safety margin is fixed at 3 degrees Celsius. Simultaneously, the system calculates the ratio of the actual air residence time to the rated average residence time in this segment, subtracts a constant of 1 from this ratio, and multiplies the difference by a preset wet age penalty coefficient to generate the dew point compensation amount, where the rated average residence time is the global average air residence time measured at the factory under calibrated air supply conditions, and the wet age penalty coefficient is fixed at 1.2 degrees Celsius. Finally, the dew point compensation amount is subtracted from the aforementioned basic margin value, and the resulting difference is output as the comprehensive dew point margin for the observation segment. This comprehensive dew point margin value, expressed in the dimension of temperature, directly reflects the remaining tolerance for condensation in the deep passageways of the cabinet when facing the risk of prolonged residence.

[0046] S601, based on the extreme value optimization logic, establishes the observation segment with the comprehensive dew point margin value in the minimum sequence as the dominant control observation segment.

[0047] Specifically, the system performs numerical sorting and comparison operations on the composite dew point margins obtained from the three observation segments. In some optional implementations, the extreme value optimization logic refers to searching for the element with the minimum value among the three extracted composite dew point margins; the position corresponding to this element is the minimum sequence. Further, the system directly identifies the physical space segment to which the composite dew point margin with the minimum value belongs as the dominant control observation segment. Selecting the observation segment with the minimum value in the minimum sequence for dominant control aims to utilize the internal channels inside the communication cabinet where the most moisture is stored and where local condensation faults are most likely to occur to guide the operation of the overall environmental control device.

[0048] S602, based on the margin state characteristics of the dominant control observation section, extracts the corresponding moisture retention intensity.

[0049] Specifically, the system retrieves the comprehensive dew point margin parameter corresponding to the selected dominant control observation segment. In some optional implementations, the mathematical execution logic for extracting this moisture retention intensity is as follows: calculate the negative of the comprehensive dew point margin corresponding to the dominant control observation segment, compare the value of 0 with the calculated negative value, and extract the larger value as the moisture retention intensity output. Further, when the comprehensive dew point margin corresponding to the dominant control observation segment is greater than or equal to 0, the output moisture retention intensity is assigned a value of 0. When the comprehensive dew point margin corresponding to the dominant control observation segment is less than 0, the output moisture retention intensity is the absolute difference between the corresponding value and the 0-scale reference, and the output moisture retention intensity is in a positive state.

[0050] S603 uses a speed compensation control law to convert the moisture retention intensity into wind speed gain characteristics, and combines the flow equalization calibration speed and the safe speed threshold to generate the fan target speed.

[0051] Specifically, the operation logic of the speed compensation control law is as follows: the system calculates the product of the set wind speed gain constant and the moisture retention intensity, sums the set dew point safety margin with 1, and then divides the product by the summation result to calculate the corresponding quotient, which is defined as the wind speed gain characteristic, where the wind speed gain constant is 0.35. In some optional implementations, the system adds 1 to the wind speed gain characteristic to obtain a proportionality coefficient, and multiplies this proportionality coefficient by the flow equalization calibration speed to generate the initial target speed. The system obtains the lower and upper boundary limits corresponding to the safe operating speed threshold of the circulating fan. Further, the initial target speed is compared with the lower and upper boundary limits under limiting conditions. If the initial target speed is lower than the lower boundary limit, the value of the lower boundary limit is taken; if the initial target speed is higher than the upper boundary limit, the value of the upper boundary limit is taken; if the initial target speed is between the two limits, its original calculated value is retained. Finally, the value obtained after this physical boundary limitation is output as the target speed of the fan.

[0052] S604 applies a dew point bias based on the dew point temperature and moisture retention intensity of the dominant control observation section, and generates the supply air dew point target by combining the operating dew point constraint boundary of the cold end dehumidification module.

[0053] Specifically, the system extracts the dew point temperature of the main control observation section, subtracts a fixed dew point bias and the product of the dew point adjustment constant and the moisture retention intensity from it, and calculates an initial dew point command value without superimposed equipment limitations. The dew point bias in this calculation is fixed at 2, and the dew point adjustment constant is fixed at 0.5. In some optional implementations, the system synchronously reads the lower and upper limits of the operating dew point allowed for hardware intervention by the cold-end dehumidification module. These two limits jointly construct the operating dew point constraint boundary. Further, the system performs numerical compliance verification between the initial dew point command value and the lower and upper limits of the operating dew point. If the initial dew point command value is lower than the lower limit, it is truncated to the lower limit; if the initial dew point command value is higher than the upper limit, it is truncated to the upper limit; if it falls within the set interval limits, the original value is retained and output. This final state comparison result is established as the supply air dew point target.

[0054] S605 generates the target dry-bulb temperature of the supply air based on the dew point temperature of the main control observation section, the set dew point safety margin, and the temperature compensation amount established by the moisture retention intensity, combined with the operating temperature constraint boundary of the supply air temperature regulation module.

[0055] Specifically, the system calculates the product of the temperature regulation constant and the moisture retention intensity as the temperature compensation amount, with the temperature regulation constant fixed at 0.25 during the calculation. In some optional implementations, the system adds the set dew point safety margin to the dew point temperature of the main control observation section, and then directly superimposes the previously calculated temperature compensation amount, combining the three to obtain the initial supply air temperature command value. The system retrieves the lower and upper limits of the operating temperature allowed by the physical hardware of the supply air temperature regulation module, integrating these two to form the operating temperature constraint boundary. Further, using the same boundary judgment comparison procedure, when the initial supply air temperature command value is lower than the lower limit of the operating temperature, the lower limit of the operating temperature is selected as the command to be issued; when the initial supply air temperature command value exceeds the upper limit of the operating temperature, the upper limit of the operating temperature is selected as the command to be issued; when the initial supply air temperature command value is within the defined upper and lower ranges, its original value is directly issued. Finally, the final parameter that meets the safety constraints is determined as the target dry-bulb temperature of the supply air.

[0056] S701 controls the circulating fan to perform a ramp-up process towards the target fan speed based on the set speed slope.

[0057] Specifically, the system sends speed adjustment commands to the motor drive unit at the bottom of the cabinet. In some optional implementations, the set speed ramp refers to the allowable change in fan speed per unit time. By limiting the speed ramp, the entire acceleration process is controlled as a linear increase in speed, and the time period spanned by this increase is limited to no less than 20 seconds. Furthermore, a slow and linear ramp-up process is adopted to prevent the physical impact of sudden and drastic changes in transient wind pressure on the internal flow equalization structure of the communication cabinet, while also preventing the internal moving wire harness from undergoing physical displacement and intruding into the area surrounding the flow equalization reference plane due to a sudden increase in airflow. Finally, the circulating fan gradually increases its operating speed to the target fan speed generated by numerical calculation, following this speed ramp.

[0058] S702 maintains the current dehumidification target and supply air temperature target constant during the first control phase, and uses the target air volume adjustment to control the residence time of water vapor in the observation section.

[0059] Specifically, after the circulating fan reaches its target speed, it enters a constant-speed operation state. The initial interval of this constant-speed operation is defined as the first control phase, and the duration of this phase is configured to be 120 seconds. In some optional embodiments, during this period, the control unit does not change the thermodynamic output parameters of the cabinet air conditioning mechanism, maintaining the current dehumidification target and supply air temperature target of the cold end components constant. The supply air volume generated by the circulating fan operating at the target speed is the target air volume. Furthermore, since there is a high humidity retention characteristic in the main control observation section, the system uses the increased target air volume to perform a purely physical airflow flushing. This embodiment pre-shears the water vapor age distribution in the long-staying channels inside by compressing and adjusting the physical residence time of the water vapor in the main control observation section.

[0060] S703 writes the air supply dew point target into the control register of the cold end dehumidification module to start the latent heat dehumidification process.

[0061] Specifically, after the first regulation phase expires, the system initiates a thermodynamic intervention process. In some optional implementations, the control unit directly writes the target airflow dew point generated through data processing into the corresponding control register within the main control chip of the cold-end dehumidification module via an internal communication bus. Further, upon receiving a change in the control register value, the cold-end dehumidification module initiates a latent heat dehumidification process. Finally, during this latent heat regulation period, the cold-end dehumidification module condenses and removes water vapor from the flowing air, extracting localized water vapor to a level sufficient to mitigate the risk of hidden water vapor accumulation in that area.

[0062] S704, after confirming the drainage status of the cold end dehumidification module, writes the target dry bulb temperature of the supply air into the control register of the supply air temperature regulation module.

[0063] Specifically, the latent heat dehumidification process generates liquid condensate. The control system detects the physical drainage channel status of the cold-end dehumidification module via a level switch node or a flow monitoring node. In some optional implementations, when a signal is collected indicating that the accumulated liquid is being normally guided into the bottom drainage tank and flows out of the communication cabinet boundary, it is confirmed that the drainage operation of the cold-end dehumidification module is normal and unobstructed. Further, after verifying this safe operation status, the system sends and writes the supply air dry-bulb temperature target carrying sensible heat compensation attributes into the control register of the supply air temperature regulation module. Finally, the supply air temperature regulation module reads the data from the control register and uses it to regulate the internal cooling components, implementing simple sensible heat cooling or compensating heating actions.

[0064] S705, the second control stage of maintaining the target speed of the fan, drives the dehumidified air to complete the circulation space replacement inside the communication cabinet.

[0065] Specifically, after issuing the two thermodynamic adjustment commands mentioned above, the system enters the final displacement stabilization period. During this time, the circulating fan continues to operate at its target speed; this operating phase is defined as the second control phase, with a fixed execution duration of 300 seconds. In some optional implementations, after the combined action of latent heat dehumidification and sensible heat regulation, the dehumidified air possesses a lower water vapor partial pressure and a precisely proportioned dry-bulb temperature. The circulating fan continuously pushes this dehumidified air through the flow equalization structure and deep into the internal structural channels. Furthermore, within 300 seconds, the airflow thoroughly sweeps across the surfaces of all components inside the cabinet, driving the dehumidified air to complete the displacement of the internal circulation space of the communication cabinet. Finally, this ensures that the air received by the communication equipment's air inlet surface neither causes secondary liquefaction of the metal surface nor expands the electrostatic hazards in the low-resistance channel area due to excessive drying.

[0066] S801 retrieves the device identification information and system timing label of the current communication cabinet.

[0067] Specifically, the system's main control chip reads the unique digital code assigned to the specific communication rack from its local non-volatile memory as device identification information. In some optional implementations, this device identification information is used to uniquely identify the communication rack in a multi-rack data center cluster network. Simultaneously, the control system retrieves the clock signal from its local hardware clock chip to generate real-time timestamp data representing the node where the current control action occurred, serving as a system timing tag. Furthermore, the combination of the device identification information and the system timing tag constitutes the fundamental traceability context of the entire control behavior in both spatial and temporal dimensions, providing data support for the distributed environmental monitoring system to track its operational status.

[0068] S802 extracts the target fan speed, target supply air dry bulb temperature, and target supply air dew point after the amplitude limit boundary verification as the instruction kernel parameters.

[0069] Specifically, the control logic extracts the target fan speed, target supply air dry-bulb temperature, and target supply air dew point from the system's memory. In some optional implementations, the target fan speed, target supply air dry-bulb temperature, and target supply air dew point are all safety control quantities that have undergone physical safety upper and lower limit value limit boundary verification. Limit boundary verification refers to comparing the initial calculated value with the preset safe speed threshold boundary, operating dew point constraint boundary, and operating temperature constraint boundary, respectively, and eliminating abnormal mutation values ​​that exceed the tolerance range of the equipment hardware. Furthermore, these three final control targets that have passed safety verification are combined together as the underlying core load data of the control actuator, and are judged as a whole and defined as the instruction kernel parameter.

[0070] S803 formats and packages the device identification information, system timing label, and three instruction kernel parameters into a communication protocol to generate a control instruction set.

[0071] Specifically, the control unit invokes pre-defined message combination logic to structurally reassemble discrete data items according to agreed-upon data link layer or application layer communication protocol rules. In some optional implementations, the communication protocol formatting and packaging process involves arranging device identification information, system timing tags, and three instruction kernel parameters (including target fan speed, target supply air dry-bulb temperature, and target supply air dew point) in a fixed-length data frame in a specific order, and adding checksums and other error detection codes to the end of the frame. Further, the closed binary stream or text stream formed after this protocol formatting process is then encapsulated to generate a control instruction set.

[0072] S804 writes the control instruction set into the execution register of the local main control unit of the communication cabinet according to the specified communication timing.

[0073] Specifically, the specified communication timing refers to the time interval rules and clock synchronization triggering mechanism followed when the control system interacts with the lower-level hardware. In some optional implementations, channel conflicts on the communication bus are avoided by limiting the transmission action to fixed intervals or within specific query response time slots. The control system sends the encapsulated control instruction set to the local master control unit of the communication cabinet via a serial communication bus or Ethernet interface according to the specified communication timing. Further, the underlying driver chip of the local master control unit receives the control instruction set and writes it directly into the physically mapped execution register. Finally, the data update in the execution register changes the underlying hardware electrical output, driving the internal fan, dehumidifier, and temperature control hardware components to operate collaboratively.

[0074] like Figure 1 As shown, Figure 1 This is a schematic diagram of a three-segment reference observation system. A flow equalization structure is installed inside the communication cabinet. Airflow enters the equipment area inside the cabinet after passing through the flow equalization structure, forming a flow equalization reference surface on the leeward side of the structure. This flow equalization reference surface is divided into an upper observation segment, a middle observation segment, and a lower observation segment along the cabinet height, each corresponding to a different height level of the flow channel area inside the cabinet. A temperature, humidity, and wind composite sensor is installed in each observation segment to collect the dry-bulb temperature, relative humidity, and normal wind speed of the corresponding observation segment. Simultaneously, a metal surface temperature sensor is installed on the cabinet's metal frame corresponding to the location of each observation segment to collect the surface temperature of the nearby cold metal walls.

[0075] like Figure 2 As shown, Figure 2 This diagram illustrates the wind speed pulse and water vapor release response. After acquiring steady-state initial humidity and heat baseline data, the control system increases the circulating fan speed from the uniform flow calibration speed to the pulse target speed and maintains this target speed during the pulse dwell phase. This causes water vapor originally trapped in different flow channel regions to be released to the corresponding observation sections by airflow disturbance. The upper curve in the diagram represents the process of the fan speed increasing from the uniform flow calibration speed to the pulse target speed, maintaining the pulse dwell phase, and then returning to the uniform flow calibration speed. The lower curve represents the water vapor release response generated by the upper, middle, and lower observation sections under the action of the wind speed pulse. The response amplitude and attenuation characteristics of different observation sections are different, indicating that the corresponding flow channel regions of each section have different water vapor release capabilities and moisture retention levels.

[0076] like Figure 3 As shown, Figure 3 This diagram illustrates the dew point margin calculation and control target generation mechanism. The control system takes steady-state initial damp heat baseline data and impulse response state data as input. For each observation segment, it obtains the corresponding dew point state, actual air residence time, and metal surface temperature state, and then comprehensively calculates the comprehensive dew point margin for each observation segment. Subsequently, the control system compares the comprehensive dew point margins of the upper, middle, and lower observation segments, determines the observation segment with the lowest margin as the dominant control observation segment, and generates corresponding control targets based on the moisture residence intensity of this dominant control observation segment. The control targets include the fan target speed, the supply air dew point target, and the supply air dry-bulb temperature target. The fan target speed is used to refresh the airflow in the corresponding flow channel area of ​​the dominant control observation segment; the supply air dew point target is used to drive the cold-end dehumidification module to perform latent heat regulation; and the supply air dry-bulb temperature target is used to drive the supply air temperature regulation module to perform sensible heat regulation.

[0077] The embodiments of this example have been described above. However, this example is not limited to the specific implementation methods described above. The specific implementation methods described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms based on the guidance of this example, and all of them are within the protection scope of this example.

Claims

1. A temperature and humidity integrated intelligent control system for a uniform airflow field in a communication cabinet, applicable to a communication cabinet including an internal circulation air path, cabinet door panel, cabinet metal frame, cabinet return air side, airflow equalization structure, circulating fan, cold end dehumidification module, and supply air temperature adjustment module, characterized in that, include: A flow equalization reference surface was established and divided into three observation segments along the height of the cabinet. The dry-bulb temperature, relative humidity, normal wind speed and metal surface temperature of the air in the three observation segments were collected respectively. The circulating fan is locked to the set flow equalization calibration speed to obtain steady-state initial humid heat baseline data without introducing new water vapor; Apply wind speed pulses to the circulating fan, extract the water vapor release response of the corresponding flow channel area of ​​the three observation sections, and record the pulse response state data; Based on the pulse response state data and the steady-state initial humid and hot baseline data, the relative humidity is converted into actual water vapor partial pressure and dew point temperature. Combined with the equivalent flow path length from the flow equalization reference surface to the return air side of the cabinet and the actual residence time of the air generated by the normal wind speed, the comprehensive dew point margin of each observation segment is obtained. The observation segment with the target extreme value characteristics of the comprehensive dew point margin is selected as the dominant control observation segment to obtain the moisture retention intensity, and the target fan speed, supply air dew point target and supply air dry bulb temperature target are generated accordingly. Drive the circulating fan according to the target speed of the fan, and refresh the target air volume in the flow channel area corresponding to the main control observation section; The supply air dew point target is sent to the cold end dehumidification module for latent heat regulation, and the supply air dry bulb temperature target is sent to the supply air temperature regulation module for sensible heat regulation. The target fan speed, the target dry-bulb temperature of the supply air, and the target dew point of the supply air are encapsulated into a set of control instructions and output.

2. The temperature and humidity combined intelligent control system for uniform flow field in communication cabinets according to claim 1, characterized in that, The process involves establishing a flow equalization reference surface and dividing it into three observation segments along the cabinet height. The dry-bulb temperature, relative humidity, normal wind speed, and metal surface temperature of each of the three observation segments are collected, including: The flow equalization reference surface is defined at a specified interval on the leeward side of the flow equalization structure; The flow equalization reference surface is divided into three observation segments: the upper segment, the middle segment, and the lower segment. A temperature, humidity and wind composite sensor is arranged in the central area of ​​each observation segment to collect the dry-bulb temperature, relative humidity and normal wind speed. A surface temperature sensor is arranged on the metal frame of the cabinet at the position corresponding to each observation segment to collect the metal surface temperature reflecting the reference state of the observation segment.

3. The intelligent temperature and humidity control system for uniform flow field in communication cabinets according to claim 1 or 2, characterized in that, The step of locking the circulating fan to the set flow equalization calibration speed and obtaining steady-state initial damp heat baseline data without introducing new water vapor includes: While keeping the cabinet door closed, the rotational speed of the circulating fan is fixed at a first specified ratio of the rated rotational speed of the circulating fan to obtain the flow equalization calibration speed; Maintain the normal wind speed in any observation segment on the flow equalization reference surface to be greater than the set lower limit threshold wind speed; The first airflow transition phase is operated at the specified uniform flow calibration speed to bring the internal flow field of the cabinet to a steady state. When the first airflow transition phase is completed, the dry-bulb temperature, relative humidity, normal wind speed and metal surface temperature of the air during this period are collected according to the first sampling cycle. The collected parameters are averaged over time to generate the steady-state initial humid heat baseline data.

4. The temperature and humidity combined intelligent control system for uniform flow field in communication cabinets according to claim 3, characterized in that, The process involves applying wind speed pulses to the circulating fan, extracting the water vapor release response in the corresponding flow channel regions of the three observation sections, and recording the pulse response state data, including: The rotational speed of the circulating fan is controlled to increase from the flow equalization calibration speed to the pulse target speed, and the pulse target speed is set between the flow equalization calibration speed and the safe speed threshold of the circulating fan; Maintain the target rotation speed of the pulse to the first dwell stage, and synchronously record the various state parameters of the three observation segments within the target sampling interval of the first dwell stage as the pulse response state data; The rotational speed of the circulating fan is restored to the uniform flow calibration speed and the set flow field recovery stage is maintained. Throughout the application of the wind speed pulse, the cold end dehumidification module is kept in a state of unobstructed drainage, and the sudden change in the normal wind speed of each observation segment is limited to suppress data acquisition distortion.

5. The temperature and humidity combined intelligent control system for uniform flow field in communication cabinets according to claim 4, characterized in that, Based on the impulse response state data and the steady-state initial humid and thermal baseline data, the relative humidity is converted into actual water vapor partial pressure and dew point temperature. Combined with the equivalent flow path length from the flow equalization reference surface to the return air side of the cabinet and the actual residence time of the air generated by the normal wind speed, the comprehensive dew point margin for each observation segment is obtained, including: For each observation segment, the dry-bulb temperature of the air is converted into the target saturated water vapor partial pressure based on the thermodynamic equation of state; The actual water vapor partial pressure of the observation segment is constructed by combining the relative humidity and the target saturated water vapor partial pressure. The corresponding dew point temperature is extracted by the parameter mapping relationship of the actual water vapor partial pressure; Combining the equivalent flow path length and the normal wind speed, the actual residence time of air in the corresponding flow channel region is calculated using the aerodynamic time function; The comprehensive dew point margin is generated by integrating the metal surface temperature, the dew point temperature, and the dew point compensation amount associated with the actual residence time of the air through a multivariate state conversion model.

6. The intelligent temperature and humidity control system for uniform flow field in communication cabinets according to claim 5, characterized in that, The selected observation segment with the target extreme value characteristics of the comprehensive dew point margin is used as the dominant control observation segment to obtain the moisture retention intensity, and based on this, the target fan speed, supply air dew point target, and supply air dry bulb temperature target are generated, including: Based on the extreme value optimization logic, the observation segment in which the comprehensive dew point margin value is in the minimum sequence is established as the dominant control observation segment; The moisture retention intensity is extracted based on the margin state characteristics of the dominant control observation segment; The moisture retention intensity is converted into wind speed gain characteristics using a speed compensation control law, and the target speed of the fan is generated by combining the flow equalization calibration speed with the safe speed threshold. The dew point bias is applied based on the dew point temperature and the moisture retention intensity of the dominant control observation section, and the supply air dew point target is generated in combination with the operating dew point constraint boundary of the cold end dehumidification module. Based on the dew point temperature of the dominant control observation section, the set dew point safety margin, and the temperature compensation amount established by the moisture retention intensity, the target dry bulb temperature of the supply air is generated in conjunction with the operating temperature constraint boundary of the supply air temperature regulation module.

7. The intelligent temperature and humidity control system for uniform flow field in communication cabinets according to claim 6, characterized in that, The circulating fan is driven according to the target speed of the fan to refresh the target air volume in the flow channel area corresponding to the main control observation section; The target dew point of the supply air is sent to the cold-end dehumidification module for latent heat regulation, and the target dry-bulb temperature of the supply air is sent to the supply air temperature regulation module for sensible heat regulation, including: Based on the set rotational speed slope, the circulating fan is controlled to perform a ramp-up process towards the target rotational speed of the fan; During the first control phase, the current dehumidification target and the supply air temperature target are kept constant, and the residence time of water vapor in the main control observation section is adjusted by using the target air volume. Write the air supply dew point target into the control register of the cold end dehumidification module to start the latent heat dehumidification process; After confirming the drainage operation status of the cold end dehumidification module, the target dry bulb temperature of the supply air is written into the control register of the supply air temperature regulation module. In the second control phase, the target speed of the fan is maintained, and the dehumidified air is driven to replace the circulation space inside the communication cabinet.

8. The intelligent temperature and humidity control system for uniform flow field in communication cabinets according to claim 7, characterized in that, The step of encapsulating the target fan speed, the target dry-bulb temperature of the supply air, and the target dew point of the supply air into a control instruction set and outputting them includes: Retrieve the device identification information and system timing tag of the current communication cabinet; The target fan speed, the target dry bulb temperature of the supply air, and the target dew point of the supply air, which have been verified by the limit boundary, are extracted as the kernel parameters of the instruction. The device identification information, the system timing tag, and the three instruction kernel parameters are formatted and packaged according to the communication protocol to generate the control instruction set; The control instruction set is written into the execution register of the local main control unit of the communication cabinet according to the specified communication timing.

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