Outdoor complete equipment environment intelligent control method
By constructing a distributed sensing network and edge computing, combined with progressive dehumidification and intelligent temperature control, the problems of crude humidity control and isolated temperature control in outdoor complete sets of equipment have been solved, achieving equipment insulation safety and energy consumption optimization, and improving alarm accuracy and fault prevention capabilities.
Patent Information
- Application Number
- CN202511633868.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-10
- Publication Date
- 2026-02-13
AI Technical Summary
Existing environmental control methods for complete outdoor equipment have problems such as crude humidity control leading to condensation risk, single dehumidification strategy leading to excessive energy consumption, and isolated temperature control potentially introducing secondary risks.
A distributed sensing network is constructed, and environmental parameters are collected by multiple sensors. Data is preprocessed by sliding window filtering, and dew point temperature and absolute humidity are calculated in real time by edge computing. A progressive dehumidification control strategy and intelligent temperature control are implemented, and multi-level intelligent alarm functions are integrated.
It enables advanced and quantitative assessment of condensation risk, reduces energy consumption, improves data reliability and sensor stability, ensures equipment insulation safety, enhances alarm accuracy and timeliness, and reduces failure rate and energy consumption.
Smart Images
Figure CN121523474A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of outdoor electrical equipment environment control, and particularly relates to an outdoor complete equipment environment intelligent control method. BACKGROUND
[0002] Outdoor complete equipment, such as European box-type substations, outdoor switch cabinets, ring network cabinets and the like, is a key node in a power transmission and distribution system, and usually contains precise electrical equipment such as transformers, circuit breakers, mutual inductors and the like in the interior. The temperature and humidity of the interior environment directly affect the insulation performance, operation efficiency and service life of the equipment, as the equipment is exposed to a complex and changeable natural environment for a long time. At present, the common environment control method in the technical field has significant deficiencies, mainly embodied in the following aspects: firstly, in the humidity control aspect, the existing method is too extensive. Most systems only monitor a single "relative humidity" parameter and set a fixed threshold to trigger the dehumidification device. However, the direct cause of the equipment surface condensation, insulation decline and even short circuit failure is that the "surface temperature is lower than the dew point temperature". The traditional control method fails to establish a quantitative relationship between relative humidity, environmental temperature and dew point temperature, and cannot make prospective and accurate judgments on the condensation risk. In high humidity weather or large diurnal temperature difference conditions, it is easy to appear "insufficient dehumidification" to cause condensation, or "excessive dehumidification" to cause energy waste; secondly, in the dehumidification strategy aspect, the existing method is too single and low in energy efficiency. A single condensation dehumidification or heating dehumidification method is generally used, and there is a lack of intelligent strategies for dynamic optimization according to indoor and outdoor environmental conditions. For example, when the absolute humidity of outdoor air is lower than that of indoor air, the air exchange dehumidification with lower cost can be used to effectively reduce the humidity, but the existing system often ignores this energy-saving way and directly starts the high-energy consumption condensation or heating module, resulting in unnecessary energy consumption; thirdly, in the temperature control aspect, the existing method has control isolation and safety risks. The existing heat dissipation control mostly only starts or stops the fan or air conditioner according to the internal temperature threshold of the equipment, and fails to link with the outdoor environmental temperature, humidity, smoke and other parameters. This may cause the ventilation and heat dissipation to introduce a large amount of moisture into the cabinet when the outdoor humidity is extremely high, and aggravate the condensation risk; or fail to timely lock the ventilation or upgrade the alarm when an electrical fault hidden danger (such as smoke) occurs, and miss the best opportunity for early warning, which has safety risks.
[0003] Therefore, the present application provides an outdoor complete equipment environment intelligent control method to solve the above problems. SUMMARY
[0004] The present application aims to provide an outdoor complete equipment environment intelligent control method, which solves the technical problems of extensive humidity control leading to condensation risk, single dehumidification strategy leading to high energy consumption, and isolated temperature control possibly introducing secondary risks in the prior art.
[0005] In order to achieve the above object, the present application adopts the following technical solutions: An outdoor complete equipment environment intelligent control method, comprising the following steps: S1: Construct a distributed sensing network, collect environmental parameters through multiple uniformly deployed sensors; S2: Perform sliding window filtering preprocessing on the collected data; S3: Real-time calculation of dew point temperature and absolute humidity based on edge computing; S4: Perform progressive dehumidification control strategy; S5: Perform intelligent temperature control strategy; S6: Realize multi-level intelligent alarm function.
[0006] Preferably, the distributed sensing network comprises: Temperature and humidity sensor: at least 2 deployed in each compartment, collecting indoor and outdoor air temperature and relative humidity; Surface temperature sensor: collecting the temperature of the top plate of the compartment ; Smoke sensor: collecting smoke concentration ; Water immersion sensor: detecting water immersion signal ; Among them, the sensor data is processed by mean value to reduce error.
[0007] Preferably, the sliding window filtering preprocessing adopts the formula:
[0008] Among them, is the filtered value, is the original sampling value, is the size of the sliding window, N=5 for low-voltage chamber and high-voltage chamber, N=8 for transformer chamber.
[0009] Preferably, the edge computing comprises: Dew point temperature calculation adopts Magnus-Tetens formula:
[0010] Among them, is the fitting constant; is the air temperature in the compartment (T) ); is the relative humidity (%); Absolute humidity calculation is based on the ideal gas law:
[0011] Among them, is 0 Saturation vapor pressure at current temperature ; Molar mass of water molecule ); Thermodynamic temperature conversion factor Gas constant , Air temperature in compartment ); Relative humidity (%).
[0012] Preferably, the progressive dehumidification control strategy comprises: Initiating dehumidification program when the temperature of the top plate of the compartment , wherein is the dew threshold value; Comparing the outdoor absolute humidity with the indoor absolute humidity ; If , preferentially initiating ventilation dehumidification; If , directly initiating condensation dehumidification and locking the ventilation fan; If unable to reduce to the safe value within the set time threshold , switching the dehumidification mode; The final stage determines whether to initiate heating dehumidification according to the water immersion signal.
[0013] Preferably, the power control of the heating dehumidification adopts the formula:
[0014] , wherein is the deviation of the current indoor absolute temperature from the safe absolute humidity, is the deviation of the target temperature composed of the current dew point temperature and the dew threshold value from the current temperature, is the humidity deviation weight coefficient, is the temperature deviation weight coefficient, is the temperature and humidity interaction coefficient, when , i.e., there is a water immersion signal, locking the heating dehumidification and triggering an alarm.
[0015] Preferably, the intelligent temperature control strategy comprises: Initiating heat dissipation program when the indoor temperature ; Initiating the heat dissipation fan when the outdoor temperature and the outdoor humidity ; If unable to reduce to the safe value within , initiating the auxiliary cooling device; When the outdoor temperature is greater than or equal to 35 degrees Celsius, directly start the auxiliary cooling device.
[0016] Preferably, the multi-level intelligent alarm comprises: Temperature grading alarm: when the temperature of the compartment top plate is greater than or equal to 35 degrees Celsius, trigger a danger alarm, when the temperature of the compartment top plate is greater than or equal to 40 degrees Celsius, trigger a high-temperature alarm, and when the temperature of the compartment top plate is greater than or equal to 45 degrees Celsius, trigger an ultrahigh-temperature alarm. Absolute humidity grading alarm: when the absolute humidity of the compartment is greater than or equal to 10 g / m3, trigger a danger alarm, when the absolute humidity of the compartment is greater than or equal to 15 g / m3, trigger a high-risk alarm, and when the absolute humidity of the compartment is greater than or equal to 20 g / m3, trigger a serious over-standard alarm. Condensation alarm: when the temperature of the compartment top plate is greater than or equal to 35 degrees Celsius, trigger an alarm. Smoke alarm: when the smoke concentration is greater than or equal to 0.1 mg / m3, trigger an alarm.
[0017] The present application has at least the following beneficial effects: The present application constructs a distributed sensing network with "spatial uniformity", deploys multiple temperature and humidity sensors in each compartment, and uses mean value processing, effectively overcoming the risk of single-point sampling error and sensor single-point failure, and fundamentally improving the reliability of raw data. Further, a sliding window filtering algorithm is used for real-time denoising processing of collected data, significantly suppressing data fluctuations caused by environmental electromagnetic interference or sensor jitter, ensuring that the data transmitted to the edge computing module has high stability and accuracy, providing a reliable data source for all subsequent advanced control functions.
[0018] The present application also has the following beneficial effects: The core of the present application is to introduce a dew point temperature calculation model based on the Magnus-Tetens formula and an absolute humidity calculation model based on the ideal gas law, realizing the advance and quantitative judgment of condensation risk, compared with the traditional extensive control method relying on fixed relative humidity threshold, fundamentally eliminating the occurrence of condensation and ensuring the insulation safety of the equipment. On this basis, the innovative "ventilation dehumidification → condensation dehumidification → heating dehumidification" progressive control strategy realizes real "on-demand dehumidification" by dynamically comparing indoor and outdoor absolute humidity and introducing a water immersion signal locking mechanism, ensuring dehumidification effect while preferentially using natural cold sources (low humidity air), significantly reducing energy consumption. At the same time, the intelligent temperature control strategy breaks the isolation of temperature control, intelligently selects the optimal heat dissipation path (natural ventilation or auxiliary cooling) by linking indoor and outdoor temperature, humidity, and smoke concentration, etc. multiple parameters, avoiding the secondary risk of introducing moisture in a high-humidity environment, and realizing fine control of heat dissipation energy consumption.
[0019] The application also has the following beneficial effects: The integrated intelligent alarm mechanism of the application comprehensively considers multiple criteria such as temperature / humidity absolute value, change trend, and dew condensation, smoke, and water immersion state, realizes multi-level early warning from "slight anomaly" to "danger" to "seriousness", greatly improves the accuracy and timeliness of the alarm, facilitates the operation and maintenance personnel to quickly locate the fault level and take corresponding measures. Ultimately, the synergistic effect of the above technical links enables the whole system to stably control the temperature and humidity in the safe range in practical application (such as a European box transformer), completely eliminates the dew condensation phenomenon, and effectively prevents fire through early smoke alarm, thereby reducing the equipment failure rate caused by environmental problems to a very low level, achieving the operation and maintenance goal of energy saving and consumption reduction, and achieving outstanding comprehensive benefits. BRIEF DESCRIPTION OF DRAWINGS
[0020] In order to more clearly illustrate the technical solutions of the embodiments of the application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor.
[0021] Figure 1 It is a schematic diagram of the overall system architecture of the application. Figure 2 It is a schematic diagram of the data acquisition and preprocessing process of the application. Figure 3 It is a schematic diagram of the edge computing, dew point temperature and absolute humidity calculation process of the application. Figure 4 It is a schematic diagram of the progressive dehumidification control strategy main process of the application. Figure 5 It is a schematic diagram of the heating dehumidification power calculation refinement process of the application. Figure 6 It is a schematic diagram of the intelligent temperature control strategy process of the application. Figure 7 It is a schematic diagram of the intelligent temperature control strategy process of the application. Figure 8 It is a schematic diagram of the temperature monitoring hierarchical intelligent alarm process of the application. Figure 9 It is a schematic diagram of the absolute humidity monitoring hierarchical intelligent alarm process of the application. Figure 10 It is a schematic diagram of the dew condensation and smoke intelligent alarm process of the application DETAILED DESCRIPTION
[0022] In order to make the objects, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the present application.
[0023] With reference to Figures 1-10 An outdoor complete equipment environment intelligent control method is applied to a European box-type substation (hereinafter referred to as "European substation"), which is divided into a low-voltage chamber, a high-voltage chamber and a transformer chamber. The specific implementation steps are as follows: Sensor arrangement Ambient temperature and humidity sensor: a total of 6 lines, respectively installed in the upper and lower parts of the low-voltage chamber, 1 line under the high-voltage chamber, 1 line under the transformer chamber, and 1 line outdoors.
[0024] Surface temperature: a total of 6 lines, of which 2 lines are on the top of the transformer chamber, and 2 lines are on the top of the high-voltage chamber and the low-voltage chamber.
[0025] Smoke concentration sensor: a total of 3 lines, respectively installed in the high-voltage chamber, the low-voltage chamber and the transformer chamber.
[0026] Data acquisition and preprocessing Sliding window filtering: low-voltage chamber / high-voltage chamber window size Transformer chamber .
[0027] Low-voltage chamber / high-voltage chamber filtering formula Transformer chamber filtering formula . Take temperature data acquisition and preprocessing as an example for calculation.
[0028] Low-voltage chamber / high-voltage chamber data acquisition and filtered values are as follows:
[0029] Transformer chamber data acquisition and filtered values are as follows:
[0030] Edge computing Take the high-voltage chamber as an example to calculate the dew point temperature and the absolute humidity. In most outdoor environment scenarios, the fitting constant in the dew point temperature calculation formula is = 237.3, that is . In the absolute humidity calculation formula, , , , , , that is .
[0031] High pressure chamber filtered temperature , relative humidity , dew point temperature formula ; absolute humidity calculation formula .
[0032] Progressive dehumidification control strategy execution process High pressure chamber roof 2-way surface temperature sensor collection and processing calculation dew point temperature , , the minimum value of the two =max( , )=26.2 as the dehumidification start parameter. The dew threshold is set to , the measured real-time roof temperature , , , start dehumidification.
[0033] Case one, through real-time collection and processing of outdoor absolute humidity , the absolute humidity in the high pressure chamber , ventilation dehumidification. Set the time threshold , take 35℃, the absolute humidity value of relative humidity 60% as the absolute humidity safety value , in real-time collection and processing to get the absolute humidity, at a certain time , has fallen below the safety value, stop ventilation dehumidification.
[0034] Case two, according to case one to start ventilation dehumidification, in can not be reduced to the safety value, switch to condensation dehumidification, also in real-time collection and processing to get the absolute humidity, at a certain time , has fallen below the safety value, stop condensation dehumidification.
[0035] Case three, according to case one and two in turn to start ventilation dehumidification and condensation dehumidification, in can not be reduced to the safety value, start heating dehumidification, the high pressure chamber is equipped with the maximum heating power , , , , . Calculate the current , 2, the heating power is calculated by formula 40W, but need to meet the minimum power conditions, so the final heating power is 100W.
[0036] Intelligent temperature control strategy execution process Take the transformer room as the control object, set the safe temperature of the indoor equipment to 55℃, and measure the temperature of the transformer room ℃, which is greater than the safe temperature of 55℃, and the cooling program needs to be started.
[0037] Case one, measure the outdoor temperature , and the humidity , start the cooling fan for cooling, and read the internal temperature in at real time, at a certain moment, the temperature drops to 53℃, which is below the safe value, and the cooling is stopped.
[0038] Case two, start the cooling fan for cooling according to case one, and the internal temperature cannot be reduced to the safe value , then start the auxiliary cooling equipment, and similarly collect and process the internal temperature in at real time, at a certain moment, the temperature drops to 50℃, which is below the safe value, and the auxiliary cooling equipment is started.
[0039] Intelligent alarm execution process Take the transformer room as an example, set the safe temperature of the indoor equipment to , take 40℃, the absolute humidity value when the relative humidity is 60% is the absolute humidity safe value , and the indoor smoke concentration safe value is set to ppm. Real-time collection of indoor temperature, at a certain moment, the indoor temperature is greater than , less than 1.2 , triggering the temperature danger alarm; at a certain moment, the indoor temperature is greater than 1.2 , less than 1.5 , triggering the high temperature alarm; at a certain moment, the indoor temperature is greater than 1.5 , triggering the ultra-high temperature alarm. Real-time collection of indoor absolute humidity, at a certain moment, the indoor absolute humidity is greater than , less than 1.2 , triggering the absolute humidity danger alarm; at a certain moment, the indoor absolute humidity is greater than 1.2 , less than 1.5 , triggering the absolute humidity high risk alarm; at a certain moment, the indoor absolute humidity is greater than 1.5 , triggering the absolute humidity serious over-standard alarm. Real-time collection of indoor smoke concentration, at a certain moment, the indoor smoke concentration is greater than triggering the smoke over-standard alarm.
[0040] The effect of the embodiment: the application test of the embodiment in a photovoltaic power station in Xingtai, Hebei Province for 12 months can control the temperature rise of the transformer room of the Oubian to within 20K, and the absolute humidity to within ; control the temperature rise of the low-voltage room and the high-voltage room to within 15K, and the absolute humidity to within ; through the smoke concentration sensor alarm to assist in troubleshooting a slight short circuit fault (caused by small animals entering); the equipment failure caused by environmental problems is reduced from 2-3 times per year to 0 times; the dehumidification energy consumption is reduced by 22% compared with the traditional method, and the ventilation and heat dissipation energy consumption is reduced by 17%.
[0041] The above shows and describes the basic principles, main features and advantages of the present application. Those skilled in the art should understand that the present application is not limited to the above embodiments, and the above embodiments and descriptions in the specification are only the principles of the present application. Without departing from the spirit and scope of the present application, various changes and improvements can be made to the present application, and these changes and improvements all fall within the scope of the claimed present application. The scope of protection required by the present application is defined by the appended claims and their equivalents.
Claims
1. A method for intelligent environmental control of outdoor complete sets of equipment, characterized in that, Includes the following steps: S1: Construct a distributed sensing network to collect environmental parameters through multiple sensors that are evenly deployed; S2: Perform sliding window filtering preprocessing on the collected data; S3: Real-time calculation of dew point temperature and absolute humidity based on edge computing; S4: Implement a progressive dehumidification control strategy; S5: Executes intelligent temperature control strategy; S6: Enables multi-level intelligent alarm functions.
2. The method for intelligent environmental control of outdoor complete sets of equipment according to claim 1, characterized in that, The distributed sensing network includes: Temperature and humidity sensors: at least two should be deployed in each compartment to collect indoor and outdoor air temperature and relative humidity; Surface temperature sensor: collects temperature of the compartment ceiling. ; Smoke sensor: collects smoke concentration ; Water immersion sensor: detects water immersion signals ; The sensor data is averaged to reduce errors.
3. The method for intelligent environmental control of outdoor complete sets of equipment according to claim 1, characterized in that, The sliding window filtering preprocessing uses the following formula: in This is the filtered value. These are the original sampled values. For the sliding window size, N=5 is used for the low-voltage and high-voltage rooms, and N=8 is used for the transformer room.
4. The method for intelligent environmental control of outdoor complete sets of equipment according to claim 1, characterized in that, The edge computing includes: Dew point temperature is calculated using the Magnus-Tetens formula: in These are the fitting constants; The air temperature inside the partition ( ); Relative humidity (%) Absolute humidity calculations are based on the ideal gas law: in 0 saturated water vapor pressure at time ; The molar mass of a water molecule ( ); Thermodynamic temperature conversion coefficient; Gas constant , The air temperature inside the partition ( ); Relative humidity (%).
5. The method for intelligent environmental control of outdoor complete sets of equipment according to claim 1, characterized in that, The progressive dehumidification control strategy includes: When the temperature of the compartment ceiling The dehumidification program is activated at certain times, including This is the condensation threshold. Comparison of outdoor absolute humidity relative to indoor absolute humidity ; like Prioritize ventilation and dehumidification; like Directly start the condensation dehumidification and lock the ventilation fan; Set time threshold If the internal temperature cannot be reduced to a safe level If so, switch to dehumidification mode; In the final stage, the decision to activate heating and dehumidification is based on the water immersion signal.
6. The method for intelligent environmental control of outdoor complete sets of equipment according to claim 5, characterized in that, The power control for heating and dehumidification is achieved using the following formula: in This represents the deviation between the current absolute temperature and the safe absolute humidity within the compartment. , which is the deviation between the target temperature and the current temperature, consisting of the current dew point temperature and the dew condensation threshold. Humidity deviation weighting coefficient Temperature deviation weighting coefficient Temperature and humidity interaction coefficient, when This means that when a water immersion signal is detected, the heating and dehumidification functions will be locked and an alarm will be triggered.
7. The method for intelligent environmental control of outdoor complete sets of equipment according to claim 1, characterized in that, The intelligent temperature control strategy includes: Indoor temperature The cooling process will start at the appropriate time. When outdoor temperature And outdoor humidity When needed, turn on the cooling fan; exist If the internal temperature cannot be reduced to a safe level If so, then activate the auxiliary cooling equipment; When outdoor temperature At that time, the auxiliary cooling equipment should be activated directly.
8. The method for intelligent environmental control of outdoor complete sets of equipment according to claim 5, characterized in that, The multi-level intelligent alarm includes: Temperature graded alarm: When When a hazard alarm is triggered, When a high temperature alarm is triggered, The over-temperature alarm is triggered at any time; Absolute humidity level alarm: When When a hazard alarm is triggered, When a high-risk alarm is triggered, A serious over-limit alarm is triggered at this time; Condensation alarm: When the temperature of the compartment ceiling is... Triggered at time; Smoke alarm: When Triggered at any time.