Temperature and humidity intelligent control early warning method and device for pole-mounted switch control box

Abstract

The invention discloses a temperature and humidity intelligent control early warning method and device for a pole-mounted switch control box, and relates to the technical field of temperature and humidity control. The humidity threshold value is dynamically adjusted through temperature data in the pole-mounted switch box; threshold judgment is conducted on the environment data, and a temperature regulator and / or a humidity regulator are / is started; the environment data and the regulator state data are uploaded to a cloud server, so that the cloud server performs environment change prediction according to the environment data to obtain humidity prediction data after the humidity regulator is turned off for a preset time step length; and comparing the actual data with the prediction data to generate early warning information. By monitoring the equipment surface temperature and the air temperature and humidity in real time, threshold adjustment can be carried out according to the humidity critical point of condensation at the current temperature instead of starting an adjuster based on a fixed threshold. Therefore, the regulator can be prevented from being started when not needed, energy waste is prevented, and the utilization efficiency of energy is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of temperature and humidity control, and in particular to a temperature and humidity intelligent control early warning method and device for a column-mounted switch control box. Background Art

[0002] The pole-mounted switch control box is an important part of the power system. It is often installed in an outdoor environment and exposed to different climatic conditions. The pole-mounted switch control box is affected by environmental factors such as temperature and humidity. These factors will directly affect the normal operation of the equipment, especially when the humidity is too high, it is easy to form condensation in the box, which may cause short circuits and corrosion of electrical equipment, and even affect the life and safety of the equipment. In order to solve this problem, the pole-mounted switch control box usually needs to have a certain temperature and humidity adjustment ability, by automatically adjusting the temperature and humidity in the box, preventing moisture accumulation, and protecting the equipment from the influence of environmental humidity.

[0003] At present, many pole-mounted switch control boxes use a control method based on preset temperature and humidity thresholds, which enable the temperature and humidity regulator through simple temperature and humidity monitoring and threshold setting. This method can maintain the normal operation of the equipment to a certain extent, but because it is based on fixed threshold control, it is easy to cause unnecessary adjustments, resulting in unnecessary energy waste. Summary of the invention

[0004] The purpose of the present invention is to solve the problem of energy waste mentioned in the above background technology, and to propose a temperature and humidity intelligent control early warning method and device for a column-mounted switch control box.

[0005] In a first aspect of the present invention, a temperature and humidity intelligent control and early warning method for a pole-mounted switch control box is provided, which is applied to a local client of the pole-mounted switch box. The method comprises:

[0006] Obtaining environmental data of the pole-mounted switch box; the environmental data includes the surface temperature of the equipment inside the box, the air temperature and humidity, and the air temperature and humidity outside the box;

[0007] If the surface temperature of the equipment in the box exceeds the preset temperature range, the temperature regulator is activated;

[0008] Performing threshold analysis according to the environmental data to obtain an anti-condensation humidity threshold;

[0009] If the air humidity in the box is greater than the anti-condensation humidity threshold, the humidity regulator is activated;

[0010] Running the humidity regulator according to a preset power until the humidity in the box reaches a preset ideal humidity value, and then shutting down the humidity regulator;

[0011] The environmental data and regulator status data are uploaded to the cloud server in a preset manner, so that the cloud server can predict environmental changes based on the environmental data and obtain temperature and humidity prediction data after the humidity regulator is turned off for a preset time step; the actual temperature and humidity data after the preset time step are compared with the predicted data to generate early warning information.

[0012] Optionally, performing threshold analysis according to the environmental data to obtain an anti-condensation humidity threshold includes:

[0013] According to the surface temperature of the equipment and the air temperature in the box, the condensation humidity is obtained:

[0014]

[0015] Among them, RH is the required condensation humidity; P1 and P2 are the saturated water vapor pressure at temperatures T1 and T2 respectively; T1 and T2 are the equipment surface temperature and air temperature in the box respectively; E0 is the saturated water vapor pressure at 0 degrees Celsius; a and b are constants;

[0016] An anti-condensation humidity threshold is obtained according to a preset safety factor and the condensation humidity; the safety factor is less than 1.

[0017] Optionally, uploading the environmental data and the regulator status data to the cloud server in a preset manner includes:

[0018] The environmental data within the preset time period is expanded tenfold and then rounded to obtain the target data set;

[0019] Compress the target data set:

[0020]

[0021] Among them, y is the compressed data; x is the target data; max and min are the maximum and minimum values ​​of the temperature item or humidity item in the target data set respectively; INT represents the rounding function;

[0022] Each compressed data is encoded into a 1-byte binary code for transmission.

[0023] A second aspect of the present invention provides a temperature and humidity intelligent control and early warning method for a pole-mounted switch control box, which is applied to a cloud server. The method includes:

[0024] Receive environmental data and regulator status data; the environmental data includes the equipment surface temperature, air temperature and humidity in the pole-mounted switch box, and the air temperature and humidity outside the box;

[0025] According to the operating status data of the regulator, the environmental data at the first sampling time after the humidity regulator is shut down is extracted as the target data;

[0026] Preprocessing the target data to obtain a first eigenvector;

[0027] Convert the first sampling moment into a numerical feature, and add the numerical feature into the first feature vector to obtain a second feature vector;

[0028] The second feature vector is used as an input of a pre-trained prediction model to obtain humidity prediction data after a preset time step; the prediction model is a multi-layer perceptron regression model;

[0029] Compare the humidity prediction data with the actual humidity data to generate early warning information.

[0030] Optionally, comparing the humidity prediction data with the humidity actual data to generate warning information includes:

[0031] According to the actual humidity data, an actual change rate is obtained;

[0032] According to the humidity prediction data, a theoretical change rate is obtained;

[0033] Calculating the difference between the actual change rate and the theoretical change rate;

[0034] If the difference is greater than a preset error threshold, a warning message is generated.

[0035] A third aspect of the present invention provides a temperature and humidity intelligent control and early warning device for a pole-mounted switch control box, which is applied to a local client of the pole-mounted switch box, and the device includes:

[0036] A data acquisition module is used to acquire environmental data of the pole-mounted switch box; the environmental data includes the surface temperature of the equipment inside the box, the air temperature and humidity, and the air temperature and humidity outside the box;

[0037] A temperature regulating module is used to activate a temperature regulator if the surface temperature of the equipment in the box exceeds a preset temperature range;

[0038] A threshold calculation module, used to perform threshold analysis based on the environmental data to obtain an anti-condensation humidity threshold;

[0039] A humidity regulating module, for starting a humidity regulator if the air humidity in the box is greater than the anti-condensation humidity threshold; operating the humidity regulator according to a preset power until the humidity in the box reaches a preset ideal humidity value, and then shutting down the humidity regulator;

[0040] The data transmission module is used to upload the environmental data and the regulator status data to the cloud server in a preset manner, so that the cloud server can predict the environmental changes based on the environmental data and obtain the temperature and humidity prediction data after the preset time step of closing the humidity regulator; compare the actual temperature and humidity data after the preset time step with the prediction data to generate early warning information.

[0041] Optionally, the threshold calculation module includes:

[0042] The critical humidity calculation module is used to obtain the condensation humidity based on the equipment surface temperature and air temperature in the box:

[0043]

[0044] Among them, RH is the required condensation humidity; P1 and P2 are the saturated water vapor pressure at temperatures T1 and T2 respectively; T1 and T2 are the equipment surface temperature and air temperature in the box respectively; E0 is the saturated water vapor pressure at 0 degrees Celsius; a and b are constants;

[0045] The threshold determination module is used to obtain an anti-condensation humidity threshold according to a preset safety factor and the condensation humidity; the safety factor is less than 1.

[0046] Optionally, the data transmission module includes:

[0047] A data adjustment module, used to expand the environmental data within a preset time period by ten times and then round it to obtain a target data set;

[0048] Data compression module, used to compress the target data set:

[0049]

[0050] Among them, y is the compressed data; x is the target data; max and min are the maximum and minimum values ​​of the temperature item or humidity item in the target data set respectively; INT represents the rounding function;

[0051] The data encoding module is used to encode each compressed data into a 1-byte binary code for transmission.

[0052] A third aspect of the present invention provides a temperature and humidity intelligent control and early warning device for a column-mounted switch control box, which is applied to a cloud server, and the device includes:

[0053] A communication module, used to receive environmental data and regulator status data; the environmental data includes the equipment surface temperature, air temperature and humidity in the pole-mounted switch box, and the air temperature and humidity outside the box;

[0054] A sampling module, used for extracting the environmental data at the first sampling moment after the humidity regulator is shut down as target data according to the operating status data of the regulator;

[0055] A preprocessing module, used for preprocessing the target data to obtain a first feature vector; converting the first sampling moment into a numerical feature, adding it to the first feature vector, to obtain a second feature vector;

[0056] A prediction module, used for taking the second feature vector as an input of a pre-trained prediction model to obtain humidity prediction data after a preset time step; the prediction model is a multi-layer perceptron regression model;

[0057] The early warning module is used to compare the humidity prediction data with the actual humidity data and generate early warning information.

[0058] Optionally, the early warning module includes:

[0059] A change rate calculation module, used to obtain an actual change rate according to the actual humidity data; and obtain a theoretical change rate according to the predicted humidity data;

[0060] A difference calculation module, used to calculate the difference between the actual change rate and the theoretical change rate;

[0061] The information generation module is used to generate warning information if the difference is greater than a preset error threshold.

[0062] Beneficial effects of the present invention:

[0063] The present invention proposes a temperature and humidity intelligent control and early warning method for a pole-mounted switch control box, the method comprising: acquiring environmental data of the pole-mounted switch box; the environmental data comprising the surface temperature of equipment in the box, the air temperature and humidity, and the air temperature and humidity outside the box; if the surface temperature of equipment in the box exceeds a preset temperature range, starting a temperature regulator; performing threshold analysis based on the environmental data to obtain an anti-condensation humidity threshold; if the air humidity in the box is greater than the anti-condensation humidity threshold, starting a humidity regulator; operating the humidity regulator according to a preset power until the humidity in the box reaches a preset ideal humidity value, and then shutting down the humidity regulator; uploading the environmental data and regulator status data to a cloud server in a preset manner, so that the cloud server predicts environmental changes based on the environmental data, and obtains temperature and humidity prediction data after the humidity regulator is shut down for a preset time step; comparing the actual temperature and humidity data after the preset time step with the prediction data, and generating early warning information.

[0064] By monitoring the surface temperature of the equipment and the temperature and humidity of the air in real time, the threshold can be adjusted according to the critical point of condensation humidity at the current temperature, rather than starting the regulator based on a fixed threshold. This can avoid enabling the regulator when it is not needed, prevent energy waste, and improve energy efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] The present invention will be further described below in conjunction with the accompanying drawings.

[0066] Figure 1 A flow chart of a temperature and humidity intelligent control and early warning method for a column-mounted switch control box is provided for an embodiment of the present invention;

[0067] Figure 2 A flow chart of another temperature and humidity intelligent control and early warning method for a column-mounted switch control box is provided for an embodiment of the present invention;

[0068] Figure 3 A structural diagram of a temperature and humidity intelligent control and early warning device for a column-mounted switch control box is provided for an embodiment of the present invention;

[0069] Figure 4 A structural diagram of another temperature and humidity intelligent control and early warning device for a column-mounted switch control box is provided for an embodiment of the present invention. DETAILED DESCRIPTION

[0070] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0071] The embodiment of the present invention provides a temperature and humidity intelligent control and early warning method for a pole-mounted switch control box, which is applied to a local client of the pole-mounted switch box. Figure 1 , Figure 1 A flow chart of a temperature and humidity intelligent control and early warning method for a column switch control box provided by an embodiment of the present invention. The method comprises the following steps:

[0072] S101, obtaining environmental data of the pole-mounted switch box;

[0073] S102, if the surface temperature of the equipment in the box exceeds a preset temperature range, start the temperature regulator;

[0074] S103, performing threshold analysis based on environmental data to obtain an anti-condensation humidity threshold;

[0075] S104, if the air humidity in the box is greater than the anti-condensation humidity threshold, the humidity regulator is started;

[0076] S105, operating the humidity regulator according to a preset power until the humidity in the box reaches a preset ideal humidity value, and then shutting down the humidity regulator;

[0077] S106, uploading the environmental data and regulator status data to the cloud server in a preset manner.

[0078] The environmental data includes the surface temperature of the equipment inside the box, the air temperature and humidity, and the air temperature and humidity outside the box. Humidity refers to relative humidity.

[0079] Based on the temperature and humidity intelligent control and early warning method of a column switch control box provided by the embodiment of the present invention, by real-time monitoring of the environmental data in the box, the threshold value can be adjusted according to the humidity critical point of condensation at the current temperature, rather than starting the regulator based on a fixed threshold value. This can avoid starting the regulator when it is not needed, prevent energy waste, and improve energy utilization efficiency.

[0080] In one implementation, the regulator may include a fan, a condensing sheet, a heater, etc. The fan and the heater may be used for temperature regulation; the fan and the condensing sheet may be combined for humidity regulation; the heater may also be used as a secondary humidity regulator in conjunction with the condensing sheet, such as in a low temperature and high humidity environment.

[0081] In one implementation, high humidity may cause oxidation and corrosion of the metal parts of electrical equipment, or even short circuit hazards. This method ensures that the humidity in the box is kept within the ideal range by intelligently adjusting the humidity, avoiding condensation and corrosion risks, and extending the life of the equipment.

[0082] In one implementation, a plurality of temperature sensors and humidity sensors are configured in the pole switch control box. Temperature and humidity detection is performed according to a preset collection frequency (for example, once every 30 seconds) and stored locally. Data is uploaded to a cloud server according to a preset interval period (for example, 30 minutes), so that the cloud server can predict environmental changes based on environmental data and obtain temperature and humidity prediction data after the humidity regulator is turned off for a preset time step; the actual temperature and humidity data after the preset time step are compared with the predicted data to generate an early warning message, prompting the staff to inspect the pole switch control box. An early warning message can also be generated based on the running time of the humidity regulator if the ideal humidity value is not reached after exceeding the preset maximum time.

[0083] In one embodiment, step S102 includes:

[0084] Step 1: Get the condensation humidity based on the equipment surface temperature and air temperature in the box:

[0085]

[0086] Among them, RH is the required condensation humidity; P1 and P2 are the saturated water vapor pressure at temperatures T1 and T2 respectively; T1 and T2 are the equipment surface temperature and air temperature in the box respectively; E0 is the saturated water vapor pressure at 0 degrees Celsius; a and b are constants.

[0087] Step 2: Obtain an anti-condensation humidity threshold according to a preset safety factor and condensation humidity; the safety factor is less than 1.

[0088] In one implementation, the device surface temperature includes the surface temperature of the electrical unit and the temperature of the inner wall of the switch control box. When calculating the condensation humidity, the minimum value of the device surface temperature is selected for calculation to ensure that no condensation occurs at any position.

[0089] In one implementation, E0 can be set to 6.11 hPa; a and b can be set to 7.69 and 243.92 respectively. The safety factor can be set to 0.9, and the anti-condensation humidity threshold is obtained by multiplying the safety factor by the condensation humidity, which means that when the air humidity reaches 90% of the condensation humidity, dehumidification is performed to ensure the timeliness of dehumidification.

[0090] In one embodiment, step S106 includes:

[0091] Step 1: Expand the environmental data within a preset time period by ten times and then round it to the integer to obtain the target data set.

[0092] Step 2: compress the target data set:

[0093]

[0094] Among them, y is the compressed data; x is the target data; max and min are the maximum and minimum values ​​corresponding to the temperature item or humidity item in the target data set respectively; INT represents the integer function, which is rounded off.

[0095] Step three, encode each compressed data into a 1-byte binary code for transmission.

[0096] In one implementation, the preset time period is the time period from the end time of the last transmission to the current time. max and min are the maximum and minimum values ​​of the corresponding item data in the time period. Instead of using the upper and lower limits of the sensor, the precision loss caused by compression can be reduced, and the minimum and maximum values ​​are encoded as 2-byte binary codes to ensure the accuracy of the benchmark. For example, assuming that the upper and lower limits of the temperature sensor are -40 to 80 degrees, and the temperature change in the preset time period is 30 to 35 degrees; the loss of precision of the former is approximately The latter loses precision of about This is completely within the acceptable range.

[0097] In one implementation, the compressed data is not only easier to transmit, but also reduces the space requirements of storage devices and reduces the pressure on the cloud server to communicate with multiple clients.

[0098] The embodiment of the present invention provides a temperature and humidity intelligent control and early warning method for a pole-mounted switch control box, which is applied to a cloud server. Figure 2 , Figure 2 A flow chart of another temperature and humidity intelligent control and early warning method for a column switch control box provided by an embodiment of the present invention. The method comprises the following steps:

[0099] S201, receiving environmental data and regulator status data.

[0100] S202: extracting environmental data at the first sampling time after the humidity regulator is shut down as target data according to the operating status data of the regulator.

[0101] S203, preprocessing the target data to obtain a first eigenvector.

[0102] S204, converting the first sampling moment into a numerical feature, adding it into the first feature vector, and obtaining a second feature vector.

[0103] S205, using the second eigenvector as an input of a pre-trained prediction model to obtain humidity prediction data after a preset time step; the prediction model is a multi-layer perceptron regression model.

[0104] S206, comparing the humidity prediction data with the humidity actual data to generate warning information.

[0105] Among them, the environmental data includes the equipment surface temperature, air temperature and humidity in the pole-mounted switch box, and the air temperature and humidity outside the box.

[0106] In one implementation, the preprocessing includes a normalization operation. During the training phase of the prediction model, the historical data is normalized using the maximum and minimum values ​​of the historical data. During the inference phase of the model, the normalization operation uses the same maximum and minimum values.

[0107] In one implementation, the sampling time is recorded in year-month-day-hour-minute-second, and the month-day-hour-minute is normalized and converted into a numerical feature.

[0108] In one implementation, the training data of the model comes from the historical monitoring data of the control box. The model is trained by the temperature and humidity change data under natural conditions at night (the regulator is kept closed). The model also predicts the temperature and humidity changes under natural conditions. The humidity regulator is often started during the period of time when the temperature drops, such as at night. At this time, the temperature regulator often does not work, so after the humidity regulator is turned off, the control box is in a natural state. In particular, the model uses night data for analysis to avoid the influence of daytime light intensity on the prediction accuracy.

[0109] In one embodiment, step S206 includes:

[0110] Step 1: According to the actual humidity data, the actual change rate Ad is obtained:

[0111]

[0112] Among them, h t is the humidity value at time t; Δt is the preset time step; h t+Δt is the humidity value at time t+Δt.

[0113] Step 2: According to the humidity prediction data, the theoretical change rate Td is obtained:

[0114]

[0115] Among them, h' t+Δt is the predicted humidity value at time t+Δt.

[0116] Step 3: Calculate the difference between the actual change rate and the theoretical change rate:

[0117] DV=|Ad-Td|

[0118] Step 4: If the difference is greater than the preset error threshold, a warning message is generated.

[0119] In one implementation, the preset time step can be set to 10 minutes. The error threshold can be set to 1.5. If the humidity change rate in the box differs greatly from the predicted change rate, it may mean that the control box is not well sealed, resulting in a large intrusion of the environment outside the box into the environment inside the box, or the detection accuracy of the sensor may be reduced. By generating early warning information, which may include the control box number, temperature and humidity, and geographic location information, the staff is prompted to inspect the control box to ensure the safe operation of the control box and reduce failure losses.

[0120] The embodiment of the present invention provides a temperature and humidity intelligent control and early warning device for a pole-mounted switch control box, which is applied to a local client of the pole-mounted switch box. Figure 3 , Figure 3This is a structural diagram of a temperature and humidity intelligent control and early warning device for a column switch control box provided by an embodiment of the present invention. The device includes:

[0121] The data acquisition module is used to obtain the environmental data of the pole-mounted switch box.

[0122] The temperature regulating module is used to start the temperature regulator if the surface temperature of the equipment in the box exceeds a preset temperature range.

[0123] The threshold calculation module is used to perform threshold analysis based on environmental data to obtain an anti-condensation humidity threshold.

[0124] The humidity regulating module is used to start the humidity regulator if the air humidity in the box is greater than the anti-condensation humidity threshold; run the humidity regulator according to the preset power until the humidity in the box reaches the preset ideal humidity value, and then shut down the humidity regulator.

[0125] The data transmission module is used to upload the environmental data and regulator status data to the cloud server in a preset manner.

[0126] The environmental data includes the surface temperature of the equipment inside the box, the air temperature and humidity, and the air temperature and humidity outside the box. Humidity refers to relative humidity.

[0127] The temperature and humidity intelligent control and early warning device for a column switch control box provided by the embodiment of the present invention can adjust the threshold value according to the critical point of condensation humidity at the current temperature by real-time monitoring of the device surface temperature and air temperature and humidity, instead of starting the regulator based on a fixed threshold value. This can avoid starting the regulator when it is not needed, prevent energy waste, and improve energy utilization efficiency.

[0128] In one embodiment, the threshold calculation module includes:

[0129] The critical humidity calculation module is used to obtain the condensation humidity based on the equipment surface temperature and air temperature in the box:

[0130]

[0131] Among them, RH is the required condensation humidity; P1 and P2 are the saturated water vapor pressure at temperatures T1 and T2 respectively; T1 and T2 are the equipment surface temperature and air temperature in the box respectively; E0 is the saturated water vapor pressure at 0 degrees Celsius; a and b are constants.

[0132] The threshold determination module is used to obtain the anti-condensation humidity threshold according to a preset safety factor and condensation humidity; the safety factor is less than 1.

[0133] In one embodiment, the data transmission module includes:

[0134] A data adjustment module, used to expand the environmental data within a preset time period by ten times and then round it to obtain a target data set;

[0135] Data compression module, used to compress the target data set:

[0136]

[0137] Where y is the compressed data; x is the target data; max and min are the maximum and minimum values ​​of the temperature item or humidity item in the target data set, respectively; INT represents the rounding function.

[0138] The data encoding module is used to encode each compressed data into a 1-byte binary code for transmission.

[0139] The embodiment of the present invention provides a temperature and humidity intelligent control and early warning device for a column-mounted switch control box, which is applied to a cloud server. Figure 4 , Figure 4 This is a structural diagram of another temperature and humidity intelligent control and early warning device for a column switch control box provided by an embodiment of the present invention. The device includes:

[0140] The communication module is used to receive environmental data and regulator status data.

[0141] The sampling module is used to extract the environmental data at the first sampling moment after the humidity regulator is shut down as the target data according to the operating status data of the regulator.

[0142] The preprocessing module is used to preprocess the target data to obtain a first eigenvector; convert the first sampling moment into a numerical feature, add it to the first eigenvector, and obtain a second eigenvector.

[0143] The prediction module is used to use the second eigenvector as an input of the pre-trained prediction model to obtain humidity prediction data after a preset time step.

[0144] The early warning module is used to compare the humidity prediction data with the actual humidity data and generate early warning information.

[0145] Among them, the environmental data includes the equipment surface temperature, air temperature and humidity in the pole-mounted switch box, and air temperature and humidity outside the box; the prediction model is a multi-layer perceptron regression model.

[0146] In one embodiment, the early warning module includes:

[0147] The change rate calculation module is used to obtain the actual change rate based on the actual humidity data; and to obtain the theoretical change rate based on the humidity prediction data.

[0148] The difference calculation module is used to calculate the difference between the actual change rate and the theoretical change rate.

[0149] The information generation module is used to generate warning information if the difference is greater than a preset error threshold.

[0150] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A temperature and humidity intelligent control and early warning method for a pole-mounted switch control box, applied to a local client of a pole-mounted switch box, characterized in that: The method comprises: Obtaining environmental data of the pole-mounted switch box; the environmental data includes the surface temperature of the equipment inside the box, the air temperature and humidity, and the air temperature and humidity outside the box; If the surface temperature of the equipment in the box exceeds the preset temperature range, the temperature regulator is activated; Performing threshold analysis according to the environmental data to obtain an anti-condensation humidity threshold; If the air humidity in the box is greater than the anti-condensation humidity threshold, the humidity regulator is activated; Running the humidity regulator according to a preset power until the humidity in the box reaches a preset ideal humidity value, and then shutting down the humidity regulator; The environmental data and regulator status data are uploaded to the cloud server in a preset manner, so that the cloud server can predict environmental changes based on the environmental data and obtain temperature and humidity prediction data after the humidity regulator is turned off for a preset time step; the actual temperature and humidity data after the preset time step are compared with the predicted data to generate early warning information.

2. The temperature and humidity intelligent control and early warning method for a column switch control box according to claim 1 is characterized in that: The performing threshold analysis according to the environmental data to obtain the anti-condensation humidity threshold comprises: According to the surface temperature of the equipment and the air temperature in the box, the condensation humidity is obtained: Among them, RH is the required condensation humidity; P1 and P2 are the saturated water vapor pressure at temperatures T1 and T2 respectively; T1 and T2 are the equipment surface temperature and air temperature in the box respectively; E0 is the saturated water vapor pressure at 0 degrees Celsius; a and b are constants; An anti-condensation humidity threshold is obtained according to a preset safety factor and the condensation humidity; the safety factor is less than 1.

3. The temperature and humidity intelligent control and early warning method for a column switch control box according to claim 1 is characterized in that: The uploading of the environmental data and the regulator status data to the cloud server in a preset manner includes: The environmental data within the preset time period is expanded tenfold and then rounded to obtain the target data set; Compress the target data set: Among them, y is the compressed data; x is the target data; max and min are the maximum and minimum values ​​of the temperature item or humidity item in the target data set respectively; INT represents the rounding function; Each compressed data is encoded into a 1-byte binary code for transmission.

4. A temperature and humidity intelligent control and early warning method for a pole-mounted switch control box, applied to a cloud server, characterized in that: The method comprises: Receive environmental data and regulator status data; the environmental data includes the equipment surface temperature, air temperature and humidity in the pole-mounted switch box, and the air temperature and humidity outside the box; According to the operating status data of the regulator, the environmental data at the first sampling time after the humidity regulator is shut down is extracted as the target data; Preprocessing the target data to obtain a first eigenvector; Convert the first sampling moment into a numerical feature, and add the numerical feature into the first feature vector to obtain a second feature vector; The second feature vector is used as an input of a pre-trained prediction model to obtain humidity prediction data after a preset time step; the prediction model is a multi-layer perceptron regression model; Compare the humidity prediction data with the actual humidity data to generate early warning information.

5. The temperature and humidity intelligent control and early warning method for a column switch control box according to claim 4 is characterized in that: The step of comparing the humidity prediction data with the humidity actual data and generating early warning information comprises: According to the actual humidity data, an actual change rate is obtained; According to the humidity prediction data, a theoretical change rate is obtained; Calculating the difference between the actual change rate and the theoretical change rate; If the difference is greater than a preset error threshold, a warning message is generated.

6. A temperature and humidity intelligent control and early warning device for a pole-mounted switch control box, applied to a local client of a pole-mounted switch box, characterized in that: The device comprises: A data acquisition module is used to acquire environmental data of the pole-mounted switch box; the environmental data includes the surface temperature of the equipment inside the box, the air temperature and humidity, and the air temperature and humidity outside the box; A temperature regulating module is used to activate a temperature regulator if the surface temperature of the equipment in the box exceeds a preset temperature range; A threshold calculation module, used to perform threshold analysis based on the environmental data to obtain an anti-condensation humidity threshold; A humidity regulating module, for starting a humidity regulator if the air humidity in the box is greater than the anti-condensation humidity threshold; operating the humidity regulator according to a preset power until the humidity in the box reaches a preset ideal humidity value, and then shutting down the humidity regulator; The data transmission module is used to upload the environmental data and the regulator status data to the cloud server in a preset manner, so that the cloud server can predict the environmental changes based on the environmental data and obtain the temperature and humidity prediction data after the preset time step of closing the humidity regulator; compare the actual temperature and humidity data after the preset time step with the prediction data to generate early warning information.

7. The temperature and humidity intelligent control and early warning device for a column switch control box according to claim 6 is characterized in that: The threshold calculation module comprises: The critical humidity calculation module is used to obtain the condensation humidity based on the equipment surface temperature and air temperature in the box: Among them, RH is the required condensation humidity; P1 and P2 are the saturated water vapor pressure at temperatures T1 and T2 respectively; T1 and T2 are the equipment surface temperature and air temperature in the box respectively; E0 is the saturated water vapor pressure at 0 degrees Celsius; a and b are constants; The threshold determination module is used to obtain an anti-condensation humidity threshold according to a preset safety factor and the condensation humidity; the safety factor is less than 1.

8. The temperature and humidity intelligent control and early warning device for a column switch control box according to claim 6 is characterized in that: The data transmission module comprises: A data adjustment module, used to expand the environmental data within a preset time period by ten times and then round it to obtain a target data set; Data compression module, used to compress the target data set: Among them, y is the compressed data; x is the target data; max and min are the maximum and minimum values ​​of the temperature item or humidity item in the target data set respectively; INT represents the rounding function; The data encoding module is used to encode each compressed data into a 1-byte binary code for transmission.

9. A temperature and humidity intelligent control and early warning device for a column switch control box, applied to a cloud server, characterized in that: The device comprises: A communication module, used to receive environmental data and regulator status data; the environmental data includes the equipment surface temperature, air temperature and humidity in the pole-mounted switch box, and the air temperature and humidity outside the box; A sampling module, used for extracting the environmental data at the first sampling moment after the humidity regulator is shut down as target data according to the operating status data of the regulator; A preprocessing module, used for preprocessing the target data to obtain a first feature vector; converting the first sampling moment into a numerical feature, adding it to the first feature vector, to obtain a second feature vector; A prediction module, used for taking the second feature vector as an input of a pre-trained prediction model to obtain humidity prediction data after a preset time step; the prediction model is a multi-layer perceptron regression model; The early warning module is used to compare the humidity prediction data with the actual humidity data and generate early warning information.

10. The temperature and humidity intelligent control and early warning device for a column switch control box according to claim 9, characterized in that: The early warning module comprises: A change rate calculation module, used to obtain an actual change rate according to the actual humidity data; and obtain a theoretical change rate according to the predicted humidity data; A difference calculation module, used to calculate the difference between the actual change rate and the theoretical change rate; The information generation module is used to generate warning information if the difference is greater than a preset error threshold.

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