A box-type substation adaptive ventilation and heat dissipation control system

Abstract

The present application relates to the technical field of box-type substations, and particularly relates to a self-adaptive ventilation and heat dissipation control system for a box-type substation, which comprises an acquisition module, a preliminary screening module, a determination module, a control module, a warning module and an adjustment module. The present application determines the risk of blockage based on the suspended fiber particle index, then quickly screens out abnormal equipment using micro-pressure fluctuation and charge pulse, and then divides the abnormal equipment into candidate equipment and temporary equipment based on parameter joint analysis. Then, the present application identifies the affected equipment contaminated by the drifting fibers of the candidate equipment from the temporary equipment using the spatial orientation and micro-pressure fluctuation between the candidate equipment and the temporary equipment. Different control strategies are taken for the candidate equipment and the affected equipment, and the preset index threshold is adjusted, effectively solving the problem of accelerated filter screen blockage, continuous deterioration of heat dissipation performance and explosive increase of equipment overheating risk caused by single-machine static threshold control without considering the pollution coupling and propagation between equipment.

Description

Technical Field

[0001] This invention relates to the field of prefabricated substation technology, and more particularly to an adaptive ventilation and heat dissipation control system for prefabricated substations. Background Technology

[0002] With the increasing density of power equipment cluster deployments, cluster units share environmental airflow channels, and thermal balance relies on intake filtration and forced convection. When the airflow carries suspended fibrous particles, these particles continuously deposit at the intake interface and periodically detach under airflow pulsation. The detached particle clusters migrate with the exhaust flow to adjacent units, inducing cross-unit pollution coupling and progressive degradation of heat dissipation. Traditional methods based on setting fixed thresholds for local parameters of individual machines fail to characterize the spatial correlation, time-delay response, and nonlinear interactions of multiple physical quantities in pollution migration, and lack joint measurements of interface blockage accumulation, flow field pulsation, and heat transfer degradation. Therefore, achieving adaptive identification of cluster-level pollution propagation and dynamic coordination of differentiated control strategies has become a critical technical bottleneck that urgently needs to be overcome in this field.

[0003] Chinese Patent Publication No. CN106229867A discloses an intelligent ventilation and heat dissipation system for a prefabricated substation. The system includes a prefabricated substation housing, a top cover with a ventilation hole of a predetermined area in the center, a heat-collecting cover on the upper part of the top cover, and an upper rotating louver between the top cover and the heat-collecting cover. The bottom of the prefabricated substation housing is a prefabricated substation base with a double-layer structure and a lower louver in the middle. The housing contains a temperature and humidity sensor and a dust sensor that comes into contact with the external environment. The temperature and humidity sensor and the dust sensor are respectively connected to a temperature and humidity controller and a dust density controller. The temperature and humidity controller is connected to an exhaust fan and a micro-control motor, and the dust density controller is also connected to the micro-control motor. The micro-control motor drives the upper rotating louver.

[0004] Therefore, the existing technology has the following problems: the system uniformly drives the exhaust fan and louvers, which easily ignores the spread of pollution within the cluster and cannot distinguish between the source and the receptor; the system uses a fixed threshold for judgment, which is prone to frequent start-stop due to instantaneous fluctuations, resulting in high energy consumption and the inability to adaptively backflushing; the system lacks the acquisition of micro-pressure fluctuations and charge pulses, which easily ignores the secondary dispersion of fibers and cannot achieve differentiated and coordinated control. Summary of the Invention

[0005] To address this, the present invention provides an adaptive ventilation and heat dissipation control system for prefabricated substations. This system overcomes the problems in existing technologies caused by static threshold control of a single unit and failure to consider pollution coupling and propagation between equipment, which lead to accelerated filter clogging, continuous deterioration of heat dissipation performance, and a surge in equipment overheating risk. This is achieved through multi-source heterogeneous parameter collaborative sensing, cluster spatial correlation disturbance decoupling, and control threshold closed-loop feedback adjustment.

[0006] To achieve the above objectives, the present invention provides an adaptive ventilation and heat dissipation control system for a prefabricated substation. The prefabricated substation is equipped with a fan operating at a preset speed and a filter screen with a dust removal device operating at a preset backflushing interval, comprising: The acquisition module is used to acquire the suspended fiber particle index at the air inlet of each box-type substation in the box-type electrical cluster, the micro-pressure fluctuation amplitude at the exhaust port, the charge pulse count on the filter surface, and the temperature difference between adjacent fins of the radiator. The initial screening module is used to determine the risk of blockage based on the temporal change of the suspended fiber particle index and a preset index threshold, and to screen several abnormal box batteries based on the micro-pressure fluctuation amplitude and the charge pulse count when there is a risk of blockage. The determination module is used to determine whether the abnormal box power supply is a candidate box power supply or a temporary box power supply based on the temperature difference between adjacent fins and the suspended fiber particle index, and to determine whether the temporary box power supply is a receiving box power supply based on the spatial relationship between the candidate box power supply and the temporary box power supply and the micro-pressure fluctuation amplitude. A control module is used to control the preset rotation speed according to the heat dissipation failure degree of the candidate box electrical unit, and to control the preset backflushing interval according to the negative pressure stability of the receiving box electrical unit, wherein the heat dissipation failure degree is determined based on the charge pulse count and the temperature difference between adjacent fins, and the negative pressure stability is determined based on the charge pulse count and the micro-pressure fluctuation amplitude. The early warning module is used to issue a control failure early warning based on the changing trends of the heat dissipation failure degree and the negative pressure stability. An adjustment module is used to adjust the preset index threshold based on the frequency of control failures within a preset control cycle and the charge pulse count.

[0007] Furthermore, the initial screening module includes: The variation determination unit is used to determine the particle dispersion based on the threshold comparison result of the suspended fiber particle index and the historical dispersion of the suspended fiber particle index. A risk assessment unit is used to determine the presence of blockage risk based on a threshold comparison result of the particle dispersion. The initial screening unit is used to screen several abnormal battery boxes based on the determination of the risk of blockage, according to the amplitude of the micro-pressure fluctuation and the charge pulse count.

[0008] Furthermore, the primary screening unit includes: The multiplier determination subunit is used to determine the micro-pressure growth multiplier based on the micro-pressure fluctuation amplitude, and to determine the pulse growth multiplier based on the charge pulse count; The variable determination subunit is used to determine a number of micro-pressure changes based on the instantaneous change in the amplitude of the micro-pressure fluctuation, and to determine a number of pulse changes based on the instantaneous change in the charge pulse count; A joint determination subunit is used to determine a joint anomaly index based on the signs of the micro-pressure change and the pulse change, the micro-pressure growth factor, and the pulse growth factor. The initial screening unit is used to determine whether the prefabricated substation is the abnormal prefabricated substation based on the threshold comparison result of the joint anomaly index.

[0009] Furthermore, the determining module includes: A classification unit is used to determine whether the abnormal battery box is the candidate battery box or the temporary battery box based on the time-delay correlation characteristics between the temperature difference between adjacent fins and the suspended fiber particle index. A pairing unit is used to determine several candidate temporary electrical box pairs based on the spatial distribution characteristics of the candidate electrical box and the temporary electrical box; A similarity determination unit is used to determine the micro-pressure time offset and micro-pressure waveform similarity based on the micro-pressure fluctuation amplitude of the candidate temporary electrical box and the temporary electrical box in the candidate temporary electrical box pair, respectively. The receiving determination unit is used to determine the temporary box power supply as the receiving box power supply based on the threshold comparison results of the micro-pressure time offset and the micro-pressure waveform similarity.

[0010] Furthermore, the classification unit includes: The relevant determination subunit is used to determine the correlation degree of the temperature difference index based on the time-delay correlation characteristics between the temperature difference of the adjacent fins and the suspended fiber particle index; A classification subunit is used to determine whether the abnormal electrical box is the candidate electrical box or the temporary electrical box based on the correlation of the temperature difference index.

[0011] Furthermore, the pairing unit includes: The distance determination subunit is used to determine several candidate temporary distances based on the spatial distance between the candidate electrical box and the temporary electrical box; A pairing subunit is used to determine a plurality of the candidate temporary box pairs based on a threshold comparison result of the candidate temporary distance.

[0012] Furthermore, the control module includes: The parameter determination unit is used to determine the short-time pulse integral and the cumulative pulse integral based on the integral of the charge pulse count in different time windows, and to determine the short-term temperature difference and the cumulative temperature difference based on the change of the temperature difference between adjacent fins in different time windows. A gain determination unit is used to determine a short-term response gain based on the short-time pulse integral and the short-term temperature difference, and to determine a long-term response gain based on the cumulative pulse integral and the cumulative temperature difference. A speed control unit is configured to determine the degree of heat dissipation failure based on the short-term response gain and the long-term response gain, and to increase the preset speed based on the degree of heat dissipation failure. An interval control unit is used to determine the negative pressure stability based on the charge pulse count and the micro-pressure fluctuation amplitude of the receiving box, and to control the preset backflush interval based on the negative pressure stability.

[0013] Furthermore, the interval control unit includes: An energy determination subunit is used to determine a number of electrostatic pulse energies based on the charge pulse count, and to determine a number of micro-pressure fluctuation energies based on the micro-pressure fluctuation amplitude. The negative pressure determination subunit is used to determine a number of energy ratios based on the electrostatic pulse energy and the micro-pressure fluctuation energy, and to determine the energy deviation based on the energy ratios. An interval control subunit is used to determine the negative pressure stability based on the median of the energy ratio and the energy deviation, and to reduce the preset backflush interval based on the negative pressure stability.

[0014] Furthermore, the early warning module includes: A slope determination unit is used to determine the heat dissipation change rate based on the temporal change of the heat dissipation failure degree, and to determine the negative pressure change rate based on the temporal change of the negative pressure stability. A candidate warning unit is used to issue a warning to the candidate battery based on the continuous change in the heat dissipation rate. The receiving warning unit is used to issue a warning to the receiving box based on the continuous change of the negative pressure change rate.

[0015] Furthermore, the adjustment module includes: The frequency determination unit is used to determine the total number of failures based on the total number of control failures within the preset control rounds. A change determination unit is used to determine the average pulse deviation based on the temporal relative change rate of the charge pulse count within the preset control round; An adjustment unit is used to adjust the preset index threshold based on the comparison results of the thresholds of the total number of failures and the average pulse deviation, according to the degree of deviation of the average pulse deviation from its threshold.

[0016] Compared with existing technologies, the advantages of this invention lie in its ability to determine blockage risk based on the temporal changes of the suspended fiber particle index and a preset threshold, and to capture abnormal signals in the early stages of fiber detachment by combining the consistency of amplitude growth and direction of change of micro-pressure fluctuations and charge pulses, thus achieving equipment screening with a low false negative rate. By utilizing the time-delay correlation between fin temperature difference and suspended fiber particle index, it is possible to determine whether the contamination originates from the local station or a neighboring station. Combined with dynamic time bending matching and time offset analysis of micro-pressure waveforms, the propagation path of drifting fibers can be spatially located, enabling precise separation of source and receiver equipment. Furthermore, by increasing the fan speed for source equipment to suppress secondary dispersion of detached fibers and shortening the backflushing interval for receiver equipment to remove fiber pads in the early stages of accumulation, these two control strategies complement each other in suppressing contamination propagation and restoring heat dissipation capacity. When the frequency of control failures exceeds half of the preset control cycles and the charge pulse of the source device shows a continuous upward trend, lowering the preset index threshold can start the entire control link in advance, intervening before the filter is severely clogged. This effectively solves the problems of accelerated filter clogging, continuous deterioration of heat dissipation performance, and a surge in equipment overheating risk caused by static threshold control of a single machine without considering the coupling and propagation of pollution between devices.

[0017] Furthermore, by using the coefficient of variation of the suspended fiber particle index to determine the risk of blockage, false triggering caused by instantaneous particle contamination spikes can be ruled out. By calculating a joint anomaly index after confirming environmental anomalies, combining the amplitude growth factor and direction of change of micro-pressure fluctuations and charge pulses, any abnormal parameter can be amplified through multiplication. Based on the threshold comparison results of the joint anomaly index, abnormal electrical boxes can be screened out with a low false negative rate in the early stages of fiber detachment, avoiding subsequent complex analyses of normal equipment and significantly reducing the computational burden.

[0018] Furthermore, by analyzing the time-delay correlation between fin temperature difference and suspended fiber particle index, pollution sources and receptors can be distinguished temporally, avoiding misjudging drift from neighboring stations as local blockage. Simultaneously, by combining the similarity and time offset of micro-pressure waveforms calculated using dynamic time bending with spatial distance pairing, the propagation path of drifting fibers can be confirmed from waveform shape and temporal sequence, ensuring that the identification of receiving devices simultaneously meets waveform matching and physical time delay constraints. Moreover, by normalizing waveform distance through the fluctuations of candidate devices and mapping it to a similarity index, the influence of inherent amplitude differences between different devices is eliminated, enabling accurate identification of pollution propagation pairs even in turbulent environments, significantly reducing missed and false positives.

[0019] Furthermore, by using the relative deviation between short-term and long-term response gains as the degree of heat dissipation failure, the accelerated trend of heat dissipation deterioration caused by unit fiber shedding can be sensitively captured. This deviation is then smoothly mapped to the fan speed increment using a hyperbolic tangent function, enabling the source equipment to smoothly increase pressure and suppress secondary dispersion when blockage enters a dangerous stage. For the receiving equipment, the ratio deviation between electrostatic pulse energy and micro-pressure fluctuation energy can quantify the abnormal coupling between intrusive fibers and airflow disturbances. This deviation is then mapped to negative pressure stability through exponential decay, ensuring that the greater the energy ratio deviation, the closer the stability approaches zero. This dynamically reduces the backflushing interval to more than half of its original value, restoring filter permeability in the early stages of fiber pad accumulation. This achieves a complementary relationship between source dust suppression and receiver blockage removal, avoiding the problem of single-regulation failure under the coupling of clustered pollution.

[0020] Furthermore, by obtaining the slopes of heat dissipation failure and negative pressure stability over time through linear fitting, the degradation trend of control effectiveness can be judged within multiple consecutive windows of similar duration. When the upward slope of heat dissipation failure continuously exceeds the preset heat dissipation threshold, it indicates that the heat dissipation deterioration of the source equipment is irreversible, and simply increasing the rotation speed cannot reverse the clogging process. At this time, an early warning can be issued to promptly prompt manual intervention. When the downward slope of negative pressure stability continuously exceeds the preset negative pressure threshold, it indicates that the negative pressure protection capability of the receiver equipment is continuously declining, and shortening the backflushing interval is insufficient to maintain filter cleanliness. An early warning can prevent pollution from spiraling out of control. By using slope consistency judgment within consecutive windows, it can be ensured that the early warning is triggered only when the trend is clear and the control measures have indeed failed.

[0021] Furthermore, by statistically analyzing whether the total number of control failures exceeds half and whether the average deviation of the charge pulses of the source equipment exceeds the upper limit of normal fluctuations, it is possible to accurately determine whether the current preset index threshold is too high, resulting in a late intervention. When both conditions are met, the preset index threshold is linearly lowered by the proportion of the average deviation exceeding the threshold. This allows the control chain to be started earlier in the next round at a lower suspended fiber particle index, thus intervening before the filter enters a severely clogged stage. This reduces pollution propagation and the accumulation of control failures from the source, effectively preventing the heat dissipation performance from entering an irreversible deterioration state. Attached Figure Description

[0022] Figure 1 This is a schematic diagram of the adaptive ventilation and heat dissipation control system for the prefabricated substation in this embodiment; Figure 2 This is a logic diagram for determining the risk of blockage in this embodiment; Figure 3 This embodiment defines the logic diagram for determining whether a prefabricated substation is an abnormal prefabricated substation. Figure 4 The following is a logic diagram for determining whether an abnormal electrical box is a candidate electrical box in this embodiment. Detailed Implementation

[0023] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0024] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0025] Please see Figure 1 This is a schematic diagram of the adaptive ventilation and heat dissipation control system for a prefabricated substation in this embodiment. This embodiment provides an adaptive ventilation and heat dissipation control system for a prefabricated substation. The prefabricated substation is equipped with a fan that operates based on a preset speed and a filter screen with a dust removal device that operates based on a preset backflushing interval, including: The acquisition module is used to acquire the suspended fiber particle index at the air inlet of each box-type substation in the box-type electrical cluster, the micro-pressure fluctuation amplitude at the exhaust port, the charge pulse count on the filter surface, and the temperature difference between adjacent fins of the radiator. The initial screening module, which is connected to the acquisition module, is used to determine the risk of blockage based on the temporal change of the suspended fiber particle index and a preset index threshold, and to screen several abnormal box batteries based on the micro-pressure fluctuation amplitude and the charge pulse count when there is a risk of blockage. A determination module, which is connected to the acquisition module and the initial screening module, is used to determine whether the abnormal box power supply is a candidate box power supply or a temporary box power supply based on the temperature difference between adjacent fins and the suspended fiber particle index, and to determine whether the temporary box power supply is a receiving box power supply based on the spatial relationship between the candidate box power supply and the temporary box power supply and the micro-pressure fluctuation amplitude. A control module, connected to the acquisition module and the determination module, is used to control the preset rotation speed according to the heat dissipation failure degree of the candidate box electrical unit, and to control the preset backflushing interval according to the negative pressure stability of the receiving box electrical unit, wherein the heat dissipation failure degree is determined based on the charge pulse count and the temperature difference between adjacent fins, and the negative pressure stability is determined based on the charge pulse count and the micro-pressure fluctuation amplitude. An early warning module, which is connected to the control module, is used to issue a control failure early warning based on the changing trends of the heat dissipation failure degree and the negative pressure stability. An adjustment module, which is connected to the acquisition module, the early warning module, and the initial screening module, is used to adjust the preset index threshold based on the frequency of control failures within a preset control cycle and the charge pulse count.

[0026] In this embodiment, after a control failure warning is issued, the system will maintain the warning status and push alarm information to the host computer or maintenance personnel. All warning triggers, manual resets, and threshold adjustments are recorded in the system log for easy traceability and analysis afterward.

[0027] In this embodiment, the adaptive ventilation and heat dissipation control system for prefabricated substations is applied to a power equipment cluster consisting of multiple prefabricated substations. Each prefabricated substation is equipped with a forced ventilation fan and an inlet filter. A pulse-jet cleaning device can be attached to the outside of the filter. Suspended fiber particles are dispersed by the airflow and adhere to the surface of the inlet filter, forming a fiber pad. This fiber pad repeatedly detaches under the continuous impact of the fan airflow. The detached fiber clumps are then carried by the exhaust airflow to the inlets of adjacent prefabricated substations, resulting in cross-contamination between equipment, accelerated filter clogging, decreased heat dissipation efficiency, abnormal fan current fluctuations, and localized overheating. At the same time, prefabricated substations within the same cluster are in a similar external suspended fiber particle index environment, and their pollution propagation has a significant wind direction correlation and spatial distance dependence.

[0028] In this embodiment, multi-dimensional and accurate perception of the heat dissipation status of the prefabricated substation is achieved by acquiring multi-dimensional parameters. Among them, the suspended fiber particle index is a dimensionless relative index characterizing the intensity of fibrous particulate pollution at the air inlet. By installing infrared emitting and receiving tubes in the air inlet duct, a light-blocking pulse is generated when fiber particles pass through the optical path. To distinguish between fiber particles and non-fiber interference, the difference in their light-blocking time is utilized. Fiber particles are elongated, with a length much greater than their diameter, and the light-blocking time when passing through the optical path is longer, while particles such as sand and pollen are approximately spherical or small in size, and the light-blocking time when passing through the optical path is very short. Based on the typical fiber length of 1 to 10 mm and the wind speed in the duct of 5 to 10 m / s, the index is estimated. The optical path time for fibers is estimated to be approximately 0.1 to 2 milliseconds. Therefore, setting the lower limit of the pulse width to 0.5 milliseconds effectively filters out most narrow pulse interference generated by spherical particles. To differentiate the different contributions of fibers of different sizes to filter clogging, two light intensity drop thresholds are set. The 30% threshold corresponds to an event with a light intensity drop of approximately 30%, primarily reflecting the passage of single fine or sparse fibers. The 70% threshold corresponds to an event with a light intensity drop exceeding 70%, reflecting the passage of large clumps, i.e., multiple entangled or folded fibers. Large clumps have a much stronger accelerating effect on filter clogging than single fine fibers; therefore, different weights need to be assigned to the two types of events. These weights are determined through offline calibration experiments. The determination involves introducing fiber samples with known particle size distribution into a standard wind tunnel, measuring the time it takes for the filter pressure difference to reach the warning value, and using this time as the response variable to perform a multiple linear regression on the two types of pulse counts. After normalizing the regression coefficients, the weight of fine fibers is approximately 1, and the weight of large flocs is approximately 3. Finally, a weighted formula is used to calculate the suspended fiber particle index. The micro-pressure fluctuation amplitude refers to the instantaneous pressure pulsation amplitude of the airflow at the exhaust port of the cooling fan, reflecting the pressure peaks generated by fiber shedding or turbulent breakage. It is obtained by installing a piezoresistive micro-pressure sensor at the exhaust port of the box-type substation. The charge pulse count is the number of sudden changes in the charge on the filter surface detected by the electrostatic probe, reflecting the effect of friction between the fiber and the filter. The electrostatic discharge event caused by detachment is addressed by installing a non-contact electrostatic probe, such as a vibrating capacitive field meter, 3-5 cm away from the surface of the filter screen. The probe output signal is sent to a voltage comparator, with the comparator threshold set to ±0.5V. When the signal exceeds the threshold, a pulse is generated. The number of pulses per minute is counted using a microcontroller counter, which is the charge pulse count. The temperature difference between adjacent fins is the temperature difference between two adjacent fins on the heat sink, reflecting the degree of uneven thermal resistance caused by local blockage of suspended fiber particles. This is achieved by fixing two thermopile infrared sensors above the heat sink, aligning them with the two adjacent fins, directly reading their respective temperatures, and calculating the difference.

[0029] The preset speed is the target operating speed of the cooling fan, which is determined based on the steady-state speed distribution of 30 identical devices in a benchmark environment where the suspended fiber particle index is below the preset threshold. It is obtained by subtracting 0.5 times the standard deviation from the sample mean, i.e., V = V0. A -0.5×V B Where V is the preset rotational speed, V A It is the sample mean of steady-state rotational speeds measured by 30 devices of the same model under a benchmark environment where the suspended fiber particle index is below a preset threshold. V B It is the standard deviation. The preset speed is usually set between 30% and 100% of the rated speed. In this embodiment, it is set to 70% of the rated speed. This value corresponds to the sample average minus 0.5 times the standard deviation, which enables most equipment to operate in energy-saving mode when there is no pollution, while leaving sufficient margin for speed increase after the fiber pollution worsens.

[0030] The preset backflushing interval is the time interval between two pulse backflushing actions of the dust removal device. It is determined based on the nominal range in the product manual and the highest frequency setting value in the already put into operation cluster. Based on this, its value is usually set between 5 minutes and 60 minutes. In this embodiment, it is set to 20 minutes. This value corresponds to the time when the fiber pad accumulates to the critical thickness, which can promptly remove blockages and avoid filter fatigue.

[0031] The preset index threshold is the lowest index value for determining abnormal suspended fiber particulate pollution. It is determined based on the 90th percentile of the daily average of the suspended fiber particulate index in spring over the past five years in the local area. Based on this, its value is usually set between 100 and 500. In this embodiment, it is set to 300, which is a dimensionless number. This value corresponds to the statistical inflection point in the index distribution where the normal fluctuation turns into a continuous rise, enabling the system to intervene in advance when the fiber particulate pollution is mild.

[0032] The preset control rounds are the number of cycles in which the control failure frequency is statistically analyzed. They are determined based on the ratio of the autocorrelation decay step size of the 30-day hourly average value sequence of the suspended fiber particle index to the duration of a single control round. Let the hourly average value sequence of the suspended fiber particle index be (X1, X2, ..., X...). 720 ), calculate the autocorrelation function of the sequence, where,

[0033] R k X is the autocorrelation function of the sequence, k is the time delay in hours, and its value is 1, 2, 3, ..., 72. Since a decay step size exceeding 72 hours is practically meaningless for control cycle design, the maximum time delay is set to 72 hours. t It is the suspended fiber particle index at hour t. It is the average value of the suspended fiber particle index in the sequence. Since the linear correlation between adjacent data points in the sequence decreases to half of the original autocorrelation strength when the autocorrelation coefficient decays from 1 to 0.5, the predictive ability of the current value for subsequent values ​​has decreased significantly. Usually, the correlation coefficient decaying to 0.5 is taken as the engineering boundary point of the effective independent information interval of the time series. Therefore, the time lag that makes the autocorrelation coefficient less than 0.5 is found as the autocorrelation step size. Then, the preset control rounds = autocorrelation step size / single round control time, where the single round control time is the time interval for the ventilation and heat dissipation control system of this embodiment to complete one complete cycle from the acquisition module to the early warning module. Based on this, the preset control rounds are usually set between 3 and 10 rounds. In this embodiment, it is set to 6 rounds. This value corresponds to the number of complete cycles converted from the lag time when the autocorrelation of the suspended fiber particle index decays to 0.5. It can filter out random disturbances and respond in a timely manner.

[0034] By assessing blockage risk based on the temporal changes of the suspended fiber particle index and a preset threshold, and combining this with the consistency of amplitude growth and direction of change of micro-pressure fluctuations and charge pulses, abnormal signals can be captured in the early stages of fiber detachment, achieving equipment screening with a low false negative rate. By utilizing the time-delay correlation between fin temperature difference and the suspended fiber particle index, it is possible to determine whether contamination originates from a local or neighboring station. Combined with dynamic time bending matching and time offset analysis of micro-pressure waveforms, the propagation path of drifting fibers can be spatially located, enabling precise separation of source and receiver equipment. Furthermore, increasing the fan speed for source equipment to suppress secondary dispersion of detached fibers, and shortening the backflushing interval for receiver equipment to remove fiber pads in their early stages of accumulation, these two control strategies complement each other in suppressing contamination propagation and restoring heat dissipation capacity. When the frequency of control failures exceeds half of the preset control cycles and the charge pulse of the source device shows a continuous upward trend, lowering the preset index threshold can start the entire control link in advance, intervening before the filter is severely clogged. This effectively solves the problems of accelerated filter clogging, continuous deterioration of heat dissipation performance, and a surge in equipment overheating risk caused by static threshold control of a single machine without considering the coupling and propagation of pollution between devices.

[0035] Please see Figure 2 As shown, this is the logic diagram for determining the risk of blockage in this embodiment. In this embodiment, the initial screening module includes: The variation determination unit is used to calculate the variation coefficient of the suspended fiber particle index within the previous preset determination time when the suspended fiber particle index is greater than the preset index threshold, so as to obtain the particle dispersion. A risk assessment unit, connected to the variation determination unit, is used to determine that there is a risk of blockage when the particle dispersion is greater than a preset dispersion threshold. The initial screening unit, which is connected to the risk determination unit, is used to screen several abnormal battery boxes based on the determination result of the presence of blockage risk, according to the micro-pressure fluctuation amplitude and the charge pulse count.

[0036] Please see Figure 3 As shown, this is the logic diagram for determining whether a prefabricated substation is an abnormal prefabricated substation in this embodiment. In this embodiment, the initial screening unit includes: The multiplier determination subunit is used to calculate the median of the micro-pressure fluctuation amplitude and the median of the charge pulse count within the preset determination time period, respectively, to obtain the micro-pressure median and the pulse median; and to calculate the ratio of the micro-pressure median to a preset micro-pressure threshold, to obtain the micro-pressure growth multiplier, wherein B W =W Z / W0, B W It is the micro-pressure growth factor, W Z Where B is the median of the micro-pressure, W0 is the preset micro-pressure threshold, and the ratio of the pulse median to the preset pulse threshold is calculated to obtain the pulse growth factor, where B... M =M Z / M0, B M It is the pulse growth factor, M Z M0 is the pulse median, and M0 is the preset pulse threshold. The variable determination subunit is used to calculate the first-order forward difference of the micro-pressure fluctuation amplitude at each moment within the preset determination time period to obtain several micro-pressure changes, and to calculate the first-order forward difference of the charge pulse count at each moment within the preset determination time period to obtain several pulse changes, wherein B Mi =J i -J i-1 B Mi J is the pulse change at time i within the preset judgment duration. i J is the charge pulse count at time i within the preset judgment period. i-1 It is the charge pulse count of the time preceding the i-th time within the preset judgment period; A joint determination subunit, connected to both the multiple determination subunit and the variable determination subunit, is used to calculate the ratio of the number of times when the micro-pressure change and the pulse change are both positive or both negative to the total number of times within the preset determination duration, to obtain the same sign ratio, where B T =S t / T P B T It is a proportion with the same sign, S t T is the number of moments when the micro-pressure change and the pulse change are both positive or both negative. PThe total number of moments with a preset judgment duration, and the product of the micro-pressure growth factor, the pulse growth factor, and the proportion of the same sign, are calculated to obtain the joint anomaly index, where L=B W ×B M ×B T L is the joint anomaly index; The initial screening subunit, which is connected to the joint determination subunit, is used to determine the box-type substation as the abnormal box-type substation when the joint anomaly index is greater than a preset anomaly threshold.

[0037] The preset judgment duration is the time window for calculating particle dispersion and statistical micro-pressure and pulse characteristics. It is determined based on half of the lag time for the autocorrelation decay of the hourly average of the suspended fiber particle index over 30 days to 0.5. Its value is usually set between 5 minutes and 30 minutes. In this embodiment, it is set to 10 minutes. This value corresponds to half of the fluctuation characteristic time of the suspended fiber particle index, which can fully capture the main process of its upward trend and avoid response lag caused by an excessively long window.

[0038] The preset dispersion threshold is a critical value for determining whether the coefficient of variation of the suspended fiber particle index exceeds the limit. It is determined based on the 95th quantile of the coefficient of variation within the same window under the baseline environment where the suspended fiber particle index is lower than the preset index threshold. Its value is usually set between 0.2 and 0.5. In this embodiment, it is set to 0.3. This value corresponds to the upper limit of the fluctuation range and can determine the risk of blockage only when the suspended fiber particle index continues to rise and the dispersion exceeds this value.

[0039] The preset micro-pressure threshold is a baseline reference value for the amplitude of micro-pressure fluctuations. It is determined based on the median of the median micro-pressure of each window during the period of lowest daily suspended fiber particle index under the benchmark environment where the suspended fiber particle index is lower than the preset index threshold. Its value is usually set between 0.5 Pa and 5 Pa. In this embodiment, it is set to 1.2 Pa. This value corresponds to the typical micro-pressure level under the condition of no blockage of the equipment. It can normalize normal fluctuations to a certain range and identify misjudgments and omissions.

[0040] The preset pulse threshold is the baseline reference value for charge pulse counting. It is determined based on the median of the pulse median of each window during the lowest period of the daily suspended fiber particle index under the benchmark environment where the suspended fiber particle index is lower than the preset index threshold. Its value is usually set between 0 times / minute and 10 times / minute. In this embodiment, it is set to 2 times / minute. This value corresponds to the typical pulse level under non-blockage conditions and can normalize normal fluctuations to a certain level. If it is lower than this value, it is easy to misjudge, and if it is higher than this value, it is easy to miss.

[0041] The preset anomaly threshold is the judgment threshold of the joint anomaly index. It is determined based on the 95th percentile of the index distribution of the same cluster of equipment under the benchmark environment where the suspended fiber particle index is lower than the preset index threshold. Its value is usually set between 1.0 and 2.0. In this embodiment, it is set to 1.5. This value corresponds to the upper limit of the normal state index distribution, namely the 95th percentile, which can exclude normal fluctuations and detect minor anomalies.

[0042] By using the coefficient of variation of the suspended fiber particle index to determine the risk of blockage, false triggering caused by instantaneous particle contamination spikes can be eliminated. After confirming environmental anomalies, a joint anomaly index is calculated by combining the amplitude growth factor and direction of change of micro-pressure fluctuations and charge pulses. This ensures that any abnormal parameter is amplified through multiplication. Based on the threshold comparison results of the joint anomaly index, abnormal electrical boxes can be screened out with a low false negative rate in the early stages of fiber detachment, avoiding subsequent complex analyses of normal equipment and significantly reducing the computational burden.

[0043] Specifically, the determining module includes: A classification unit is used to determine whether the abnormal battery box is the candidate battery box or the temporary battery box based on the time-delay correlation characteristics between the temperature difference between adjacent fins and the suspended fiber particle index. A pairing unit, connected to the classification unit, is used to determine several candidate temporary electrical box pairs based on the spatial distance and azimuth angle between the candidate electrical box and the temporary electrical box; A similarity determination unit, connected to the pairing unit, is used to calculate the waveform distance and average time offset of the micro-voltage fluctuation amplitude sequence of the candidate temporary power supply and the micro-voltage fluctuation amplitude sequence of the temporary power supply, based on the dynamic time bending method, to obtain the micro-voltage sequence distance D. DWT The micro-pressure time offset Δt, and the micro-pressure sequence distance normalized by the micro-pressure fluctuation amplitude of the candidate box voltage, are used to obtain the micro-pressure waveform similarity through exponential decay mapping, wherein,

[0044] B S It is the similarity of the micro-pressure waveform, and σ is the root mean square of the amplitude of the micro-pressure fluctuation of the candidate box-type electric circuit. The greater the difference in waveforms, the closer the similarity is to zero, and the smaller the difference, the closer the similarity is to one. The receiving determination unit, which is connected to the similarity determination unit, is used to confirm that the temporary box power supply is the receiving box power supply when the similarity of the micro-pressure waveform is greater than a preset similarity threshold and the micro-pressure time offset is within a preset offset interval.

[0045] In this embodiment, during the calculation of the average time offset, the micro-pressure fluctuation amplitude sequences obtained by the candidate and temporary power supply units within a preset similar time period at a one-second sampling interval are respectively denoted as the first sequence and the second sequence. A standard dynamic time warping algorithm is used, with Euclidean distance as the local cost and a step size mode allowing horizontal, vertical, and diagonal movement, to obtain the optimal alignment path. This path consists of several alignment point pairs, each containing the time positions of the first and second sequences. For each point pair on the path, the difference between the second and first sequence time positions is calculated and multiplied by the sampling interval to obtain the corresponding time offset value. To eliminate endpoint interference caused by misalignment between the start and end times of the sequences, only point pairs whose first sequence time positions fall within 20% to 80% of the total sequence length are retained, i.e., 80% of the point pairs in the middle of the path are selected, and the median of the time offset values ​​of these point pairs is taken as the average time offset.

[0046] Please see Figure 4 As shown, this is the logic diagram for determining whether an abnormal electrical box is a candidate electrical box in this embodiment. In this embodiment, the classification unit includes: The relevant determination subunit is used to calculate the maximum value of the Pearson correlation coefficient of the temperature difference between adjacent fins and the suspended fiber particle index within the preset similar time period under each preset time delay threshold, so as to obtain the temperature difference index correlation. A classification subunit, connected to the correlation determination subunit, is used to determine the abnormal box-type electrical appliance as the candidate box-type electrical appliance when the temperature difference index correlation is greater than a preset correlation threshold and the preset time delay threshold corresponding to the temperature difference index correlation is within a preset time delay interval. Otherwise, the abnormal power supply box is determined to be the temporary power supply box.

[0047] Specifically, the pairing unit includes: The distance determination subunit is used to obtain the coordinates of the candidate electrical boxes and the temporary electrical boxes, and to calculate the Euclidean distance between the coordinates of each candidate electrical box and the coordinates of each temporary electrical box to obtain a number of candidate temporary distances. A pairing subunit, which is connected to the distance determination subunit, is used to pair the candidate box-type electrical unit and the temporary box-type electrical unit when the candidate temporary distance is within a preset distance range, so as to obtain a plurality of candidate temporary box-type electrical unit pairs.

[0048] The preset similarity duration is the time window for calculating cross-correlation and extracting micro-pressure sequences. It is determined by rounding up the 75th percentile of the time delay between the peak value of the fin temperature difference and the peak value of the index in at least 10 significant pollution events (i.e., when the peak value of the suspended fiber particle index exceeds the preset index threshold). Its value is usually set between 10 minutes and 60 minutes. In this embodiment, it is set to 30 minutes. This value corresponds to the typical time from fiber inhalation to the generation of thermal response, which can avoid the inability to cover the complete propagation process and the inclusion of irrelevant noise.

[0049] The preset waveform similarity threshold is the critical value for determining the similarity of micro-pressure waveforms. It is determined based on the fifth quantile of the self-similarity of the same device under the benchmark environment where the suspended fiber particle index is lower than the preset index threshold. Based on this, its value is usually set between 0.6 and 0.9. In this embodiment, it is set to 0.7. This value is the lower bound of normal self-similarity and can avoid misjudging environmental noise and missing the true propagation waveform.

[0050] The preset offset interval is a reasonable range of values ​​for the average time offset. It is estimated based on the minimum distance and maximum drift speed, the upper limit of the minimum distance and minimum drift speed, and is determined by actual waveform verification and adjustment. Its value is usually set between 5 seconds and 180 seconds. In this embodiment, it is set to 5 seconds to 120 seconds. This value covers the drift time under common distances and can cover the drift time under common distances.

[0051] The preset time delay threshold is the range of values ​​for the discrete time delay search in the correlation calculation. It is determined based on the second and ninety-seventh quantiles of the time delay during which the increase of the suspended fiber particle index is significantly correlated with the fin temperature difference response in at least 10 significant pollution events (i.e., when the peak value of the suspended fiber particle index exceeds the preset index threshold). Its value is usually set between 0 minutes and 60 minutes. In this embodiment, the search range is 5 minutes to 40 minutes with a step size of 1 minute. This value corresponds to the interval where 95% of the propagation time delay is located, which can avoid including non-physical correlations or noise.

[0052] The preset correlation threshold is the critical correlation coefficient for determining a significant correlation between fin temperature difference and suspended fiber particle index. It is determined based on the 95th quantile of the correlation coefficient of random window with cluster equipment under the benchmark environment where the suspended fiber particle index is lower than the preset index threshold. Its value is usually set between 0.5 and 0.8. In this embodiment, it is set to 0.6. This value is the upper bound when there is no correlation, which can avoid noise misjudgment.

[0053] The preset time delay interval is the range within which the relevant time delay conforms to physical causality. It is determined based on the second and ninety-seventh quantiles of the time delay during which the increase of the suspended fiber particle index is significantly correlated with the fin temperature difference response in at least 20 significant pollution events, i.e., when the peak value of the suspended fiber particle index exceeds the preset index threshold. Its value is usually set between 5 minutes and 40 minutes. In this embodiment, it is set between 5 minutes and 40 minutes. This value covers the typical time delay of fiber impact to temperature conduction and can limit the effective propagation target within the interval.

[0054] The preset distance range is the effective spatial distance range for pairing candidate and temporary electrical boxes. It is determined based on the farthest distance at which the suspended fiber particle index decays to 80% and the closest distance at which it decays to 20% in the field measured suspension fiber particle index decay curve. Its value is usually set between 5 meters and 60 meters. In this embodiment, it is set between 10 meters and 50 meters to eliminate disturbances from co-stations that are too close and attenuation propagation that is too far.

[0055] By analyzing the time-delay correlation between fin temperature difference and suspended fiber particle index, pollution sources and receptors can be distinguished temporally, avoiding misclassification of drift from neighboring stations as local blockage. Simultaneously, by combining the similarity and time offset of micro-pressure waveforms calculated using dynamic time bending with spatial distance pairing, the propagation path of drifting fibers can be confirmed based on waveform shape and temporal sequence, ensuring that the identification of receiving devices simultaneously meets waveform matching and physical time delay constraints. Furthermore, by normalizing waveform distance through the fluctuations of candidate devices and mapping it to a similarity index, the influence of inherent amplitude differences between different devices is eliminated, enabling accurate identification of pollution propagation pairs even in turbulent environments, significantly reducing missed and false positives.

[0056] Specifically, the control module includes: The parameter determination unit is used to integrate the charge pulse counts within the preset determination time period and the preset similar time period respectively to obtain the short-time pulse integral and the cumulative pulse integral, and to calculate the temperature difference between adjacent fins at the start and end times within the preset determination time period and the preset similar time period respectively to obtain the short-term temperature difference and the cumulative temperature difference. A gain determination unit, connected to the parameter determination unit, is used to determine a short-term response gain based on the ratio of the short-term temperature difference to the integral of the short-term pulse plus the fractional part to zero, and to determine a long-term response gain based on the ratio of the cumulative temperature difference to the integral of the cumulative pulse plus the fractional part to zero. A speed control unit is used to determine the heat dissipation failure degree based on the relative deviation between the short-term response gain and the long-term response gain, and to multiply the heat dissipation failure degree by a preset speed after mapping it through a hyperbolic tangent function as an adjustment ratio to increase the preset speed so that the increased speed increases monotonically with the increase of the failure degree. An interval control unit is used to determine the negative pressure stability based on the charge pulse count and the micro-pressure fluctuation amplitude of the receiving box, and to control the preset backflush interval based on the negative pressure stability.

[0057] Specifically, the interval control unit includes: An energy determination subunit is used to divide the preset similar duration into several sub-windows based on a preset sliding step size, calculate the sum of the charge pulse counts at each time in each sub-window to obtain several electrostatic pulse energies, and calculate the sum of the differences between the micro-pressure fluctuation amplitude at each time in each sub-window and the average value of the micro-pressure fluctuation amplitude at each time in each sub-window to obtain several micro-pressure fluctuation energies. The negative pressure determination subunit, which is connected to the energy determination subunit, is used to obtain several energy ratios based on the ratio of the electrostatic pulse energy to the micro-pressure fluctuation energy in each sub-window, after taking a fractional part away from zero; and to calculate the absolute value of the difference between the energy ratio in each sub-window and the median of all energy ratios, to obtain several energy deviations. An interval control subunit, connected to the negative pressure determination subunit, is used to calculate the absolute deviation between the energy ratio of the nearest sub-window and the median of all energy ratios. This deviation is divided by the median of all energy deviations and then exponentially decayed to obtain the negative pressure stability. The greater the energy ratio deviation, the closer the stability is to zero. The negative pressure stability is used as a scaling factor and multiplied by a preset backflush interval to obtain a reduced preset backflush interval. This interval is then limited to at least 0.5 times the original preset backflush interval.

[0058] In this embodiment, the preset rotation speed is increased according to the heat dissipation failure rate, while the preset rotation speed needs to be limited to 30%-100% of the rated speed. This is to prevent the air volume generated by the fan from being insufficient to remove the basic heat of the radiator when it is below 30%, which could easily lead to excessive temperature rise of the equipment. At the same time, too low a speed may cause the motor to operate in an inefficient zone or even cause torque pulsation. In addition, since an interval of less than 5 minutes will cause excessively frequent impact on the filter, accelerating the aging of the filter and increasing the energy consumption of compressed air, and an interval of more than 60 minutes may not be able to clean in time when relatively serious suspended fiber particles invade, resulting in aggravated filter blockage and deterioration of heat dissipation, the preset backflushing interval is increased according to the negative pressure stability, while the preset backflushing interval needs to be controlled between 5 and 60 minutes.

[0059] The preset sliding step size is the time interval between the start times of adjacent sub-windows when dividing similar durations. It is determined based on the characteristic time constant of the autocorrelation of micro-pressure fluctuations first dropping to 0.5. It is taken as 0.5 to 1 times the constant. Based on this, its value is usually set between 1 minute and 10 minutes. In this embodiment, it is set to 5 minutes. This value corresponds to the middle value of the characteristic time constant and can balance the sub-window overlap and sample statistics.

[0060] By using the relative deviation between short-term and long-term response gains as the degree of heat dissipation failure, the accelerated trend of heat dissipation deterioration caused by unit fiber shedding can be sensitively captured. This deviation is then smoothly mapped to the fan speed increment using a hyperbolic tangent function, enabling the source equipment to smoothly increase pressure and suppress secondary dispersion when blockage enters a dangerous stage. For the receiving equipment, the ratio deviation between electrostatic pulse energy and micro-pressure fluctuation energy can quantify the abnormal coupling between intrusive fibers and airflow disturbances. This deviation is then mapped to negative pressure stability through exponential decay, ensuring that the greater the energy ratio deviation, the closer the stability approaches zero. This dynamically reduces the backflushing interval to more than half of its original value, restoring filter permeability in the early stages of fiber pad accumulation. This achieves a complementary effect from two dimensions: source dust suppression and receiver blockage removal, avoiding the problem of single-regulation failure under the coupling of clustered pollution.

[0061] Specifically, the early warning module includes: The slope determination unit is used to perform linear fitting on the change of the heat dissipation failure degree with time within the preset similar time period based on the least squares method to obtain the heat dissipation change rate, and to perform linear fitting on the change of the negative pressure stability with time within the preset similar time period based on the least squares method to obtain the negative pressure change rate. A candidate warning unit, connected to the slope determination unit, is used to determine that the heat dissipation change rate is greater than a preset heat dissipation threshold within a consecutive preset number of preset similar time periods, and to issue a warning to the candidate box power control failure. The receiving warning unit, which is connected to the slope determination unit, is used to determine that the electrical control of the receiving box is faulty and to issue a warning to the receiving box when the negative pressure change rate is less than the preset negative pressure threshold within a consecutive preset number of preset observation periods.

[0062] The preset threshold is the minimum number of windows required for a continuous trend to be established. It is determined based on the 95th quantile of the duration of continuous exceedance of the standard without any abnormal period during normal operation, i.e., in a benchmark environment where the suspended fiber particle index is lower than the preset index threshold and the equipment has no alarms. Under the effective signal threshold of three times the differential noise benchmark of heat dissipation failure, its value is usually set between 2 and 5. In this embodiment, it is set to 2. This value corresponds to the statistical boundary between a single random fluctuation and the true trend, which can filter out occasional noise and avoid false alarms in one window or lag in three windows.

[0063] The preset heat dissipation threshold is the critical slope value for determining whether the rate of change of heat dissipation failure has increased significantly. It is determined based on four times the median absolute value of the slope of the heat dissipation failure sequence under normal operating conditions. Based on this, its value is usually set between 0.02 / minute and 0.1 / minute. In this embodiment, it is set to 0.04 / minute. This value corresponds to four times the typical fluctuation slope, which is the upper limit of the 99% confidence interval, and can distinguish between normal fluctuations and deterioration trends.

[0064] The preset negative pressure threshold is the critical slope value for determining whether the rate of change of negative pressure stability has decreased significantly. It is determined based on negative four times the median absolute value of the slope of the negative pressure stability sequence under normal operating conditions. Its value is usually set between -0.02 / minute and -0.005 / minute. In this embodiment, it is set to -0.01 / minute. This value corresponds to negative four times the typical fluctuation amplitude, i.e., the 99% confidence lower bound, which can clearly distinguish normal random fluctuations from real deterioration trends.

[0065] By using linear fitting to obtain the slopes of heat dissipation failure and negative pressure stability over time, the degradation trend of control effectiveness can be judged within multiple consecutive windows of similar duration. When the upward slope of heat dissipation failure continuously exceeds the preset heat dissipation threshold, it indicates that the heat dissipation deterioration of the source equipment is irreversible, and simply increasing the rotation speed cannot reverse the clogging process. At this point, an early warning can be issued to promptly prompt manual intervention. When the downward slope of negative pressure stability continuously exceeds the preset negative pressure threshold, it indicates that the negative pressure protection capability of the receiver equipment is continuously declining, and shortening the backflushing interval is insufficient to maintain filter cleanliness. An early warning can prevent uncontrolled contamination. By using slope consistency judgment within consecutive windows, it can be ensured that the early warning is triggered only when the trend is clear and the control measures have indeed failed.

[0066] Specifically, the adjustment module includes: The frequency determination unit is used to calculate the total number of control failures within the preset control rounds to obtain the total number of failures. The change determination unit is used to calculate the relative deviation of the charge pulse count of the candidate box at the start and end times of each round to obtain the single-round pulse deviation, and to calculate the average value of the single-round pulse deviation within the preset control round to obtain the average pulse deviation. An adjustment unit, connected to the frequency determination unit and the change determination unit, is used to linearly reduce the preset exponential threshold by the proportion of the average pulse deviation exceeding the average deviation threshold when the total number of failures is greater than half of the preset control rounds and the average pulse deviation is greater than the preset average deviation threshold, so that the preset exponential threshold decreases inversely with the increase of the pulse deviation. Otherwise, the preset index threshold will not be adjusted.

[0067] The preset average deviation threshold is a critical value for determining whether the average pulse deviation significantly exceeds the normal fluctuation range. It is determined based on the 95th quartile of the relative deviation of pulse counts in each control round of 10 devices under the benchmark environment where the suspended fiber particle index is lower than the preset index threshold. Its value is usually set between 0.03 and 0.10. In this embodiment, it is set to 0.05. This value corresponds to five percent of the upper limit of normal fluctuation, which can avoid frequent adjustments caused by small fluctuations and ensure timely triggering of downward adjustment when there is a significant increase.

[0068] By statistically analyzing whether the total number of control failures exceeds half and whether the average deviation of the charge pulses of the source equipment exceeds the upper limit of normal fluctuations, it is possible to accurately determine whether the current preset index threshold is too high, resulting in a late intervention. When both conditions are met, the preset index threshold is linearly lowered by the proportion of the average deviation exceeding the threshold. This allows the control chain to be started earlier in the next round at a lower suspended fiber particle index, thus intervening before the filter enters a severely clogged stage. This reduces pollution transmission and the accumulation of control failures from the source, effectively preventing the heat dissipation performance from entering an irreversible deterioration state.

[0069] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. An adaptive ventilation and heat dissipation control system for a prefabricated substation, wherein the prefabricated substation is equipped with a fan operating at a preset speed and a filter screen with a dust removal device operating at a preset backflushing interval, characterized in that, include: The acquisition module is used to acquire the suspended fiber particle index at the air inlet of each box-type electrical appliance in the box-type electrical appliance cluster, the micro-pressure fluctuation amplitude at the exhaust port, the charge pulse count on the filter surface, and the temperature difference between adjacent fins of the radiator. The initial screening module is used to determine the risk of blockage based on the suspended fiber particle index and a preset index threshold, and to screen several abnormal box batteries based on the micro-pressure fluctuation amplitude and the charge pulse count when there is a risk of blockage. The determination module is used to determine whether the abnormal box power supply is a candidate box power supply or a temporary box power supply based on the temperature difference between adjacent fins and the suspended fiber particle index, and to determine whether the temporary box power supply is a receiving box power supply based on the spatial relationship between the candidate box power supply and the temporary box power supply and the micro-pressure fluctuation amplitude. A control module is used to control the preset rotation speed according to the heat dissipation failure degree of the candidate box electrical unit, and to control the preset backflushing interval according to the negative pressure stability of the receiving box electrical unit, wherein the heat dissipation failure degree is determined based on the charge pulse count and the temperature difference between adjacent fins, and the negative pressure stability is determined based on the charge pulse count and the micro-pressure fluctuation amplitude. The early warning module is used to issue a control failure early warning based on the changing trends of the heat dissipation failure degree and the negative pressure stability. An adjustment module is used to adjust the preset index threshold based on the frequency of control failures within a preset control cycle and the charge pulse count.

2. The adaptive ventilation and heat dissipation control system for prefabricated substations according to claim 1, characterized in that, The initial screening module includes: The variation determination unit is used to determine the particle dispersion based on the threshold comparison result of the suspended fiber particle index and the historical dispersion of the suspended fiber particle index. A risk assessment unit is used to determine the presence of blockage risk based on a threshold comparison result of the particle dispersion. The initial screening unit is used to screen several abnormal battery boxes based on the determination of the risk of blockage, according to the amplitude of the micro-pressure fluctuation and the charge pulse count.

3. The adaptive ventilation and heat dissipation control system for prefabricated substations according to claim 2, characterized in that, The primary screening unit includes: The multiplier determination subunit is used to determine the micro-pressure growth multiplier based on the micro-pressure fluctuation amplitude, and to determine the pulse growth multiplier based on the charge pulse count; A variable determination subunit is used to determine a number of micro-pressure changes based on the instantaneous change in the amplitude of the micro-pressure fluctuation, and to determine a number of pulse changes based on the instantaneous change in the charge pulse count; A joint determination subunit is used to determine a joint anomaly index based on the signs of the micro-pressure change and the pulse change, the micro-pressure growth factor, and the pulse growth factor. The initial screening unit is used to determine whether the prefabricated substation is the abnormal prefabricated substation based on the threshold comparison result of the joint anomaly index.

4. The adaptive ventilation and heat dissipation control system for prefabricated substations according to claim 3, characterized in that, The determining module includes: A classification unit is used to determine whether the abnormal battery box is the candidate battery box or the temporary battery box based on the time-delay correlation characteristics between the temperature difference between adjacent fins and the suspended fiber particle index. A pairing unit is used to determine several candidate temporary electrical box pairs based on the spatial distribution characteristics of the candidate electrical box and the temporary electrical box; A similarity determination unit is used to determine the micro-pressure time offset and micro-pressure waveform similarity based on the micro-pressure fluctuation amplitude of the candidate temporary electrical box and the temporary electrical box in the candidate temporary electrical box pair, respectively. The receiving determination unit is used to determine the temporary box power supply as the receiving box power supply based on the threshold comparison results of the micro-pressure time offset and the micro-pressure waveform similarity.

5. The adaptive ventilation and heat dissipation control system for prefabricated substations according to claim 4, characterized in that, The classification unit includes: The relevant determination subunit is used to determine the correlation degree of the temperature difference index based on the time-delay correlation characteristics between the temperature difference of the adjacent fins and the suspended fiber particle index; A classification subunit is used to determine whether the abnormal electrical box is the candidate electrical box or the temporary electrical box based on the correlation of the temperature difference index.

6. The adaptive ventilation and heat dissipation control system for prefabricated substations according to claim 5, characterized in that, The pairing unit includes: The distance determination subunit is used to determine several candidate temporary distances based on the spatial distance between the candidate electrical box and the temporary electrical box; A pairing subunit is used to determine a plurality of the candidate temporary box pairs based on a threshold comparison result of the candidate temporary distance.

7. The adaptive ventilation and heat dissipation control system for prefabricated substations according to claim 6, characterized in that, The control module includes: The parameter determination unit is used to determine the short-time pulse integral and the cumulative pulse integral based on the integral of the charge pulse count in different time windows, and to determine the short-term temperature difference and the cumulative temperature difference based on the change of the temperature difference between adjacent fins in different time windows. A gain determination unit is used to determine a short-term response gain based on the short-time pulse integral and the short-term temperature difference, and to determine a long-term response gain based on the cumulative pulse integral and the cumulative temperature difference. A speed control unit is configured to determine the degree of heat dissipation failure based on the short-term response gain and the long-term response gain, and to increase the preset speed based on the degree of heat dissipation failure. An interval control unit is used to determine the negative pressure stability based on the charge pulse count and the micro-pressure fluctuation amplitude of the receiving box, and to control the preset backflush interval based on the negative pressure stability.

8. The adaptive ventilation and heat dissipation control system for prefabricated substations according to claim 7, characterized in that, The interval control unit includes: An energy determination subunit is used to determine a number of electrostatic pulse energies based on the charge pulse count, and to determine a number of micro-pressure fluctuation energies based on the micro-pressure fluctuation amplitude. The negative pressure determination subunit is used to determine a number of energy ratios based on the electrostatic pulse energy and the micro-pressure fluctuation energy, and to determine the energy deviation based on the energy ratios. An interval control subunit is used to determine the negative pressure stability based on the median of the energy ratio and the energy deviation, and to reduce the preset backflush interval based on the negative pressure stability.

9. The adaptive ventilation and heat dissipation control system for prefabricated substations according to claim 8, characterized in that, The early warning module includes: A slope determination unit is used to determine the heat dissipation change rate based on the temporal change of the heat dissipation failure degree, and to determine the negative pressure change rate based on the temporal change of the negative pressure stability. A candidate warning unit is used to issue a warning to the candidate battery based on the continuous change in the heat dissipation rate. The receiving warning unit is used to issue a warning to the receiving box based on the continuous change of the negative pressure change rate.

10. The adaptive ventilation and heat dissipation control system for prefabricated substations according to claim 9, characterized in that, The adjustment module includes: The frequency determination unit is used to determine the total number of failures based on the total number of control failures within the preset control rounds. A change determination unit is used to determine the average pulse deviation based on the temporal relative change rate of the charge pulse count within the preset control round; An adjustment unit is used to adjust the preset index threshold based on the comparison results of the thresholds of the total number of failures and the average pulse deviation, according to the degree of deviation of the average pulse deviation from its threshold.

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