On-line monitoring type dehumidification control device for power distribution station house

Abstract

The invention discloses a power distribution station room on-line monitoring type dehumidification control device, which comprises a data acquisition module, a data analysis module, a dehumidification and humidity control module, a remote communication module, a data monitoring module and a power supply module, and is characterized in that the data acquisition module adopts a humidity sensor for acquisition, and the data analysis module adopts a Raspberry Pi integrated operation module; the dehumidification and humidity control module adopts a far infrared heater for dehumidification, the remote communication module adopts a 4G communication module, the data monitoring module adopts a Web page for display, and the power supply module adopts a voltage reduction module for providing electric energy. The device provides reliable fault reference points for fault first-aid repair, improves the fault first-aid repair efficiency, can monitor each power distribution station house in a region at the same time, monitors the abnormal humidity condition of the power distribution station house in advance, takes corresponding measures, and improves the operation safety and reliability of the power distribution station house.

Description

Technical Field

[0001] The invention relates to the technical field of power distribution maintenance, and in particular to an online monitoring dehumidification control device for a power distribution station. Background Art

[0002] With the continuous improvement of the degree of social informatization, the number of equipment used for remote control, remote measurement, and remote adjustment in distribution stations has increased significantly. At the same time, the requirements of these equipment on the operating environment are becoming increasingly stringent, especially humidity control, which has an important impact on the normal operation and life of distribution equipment. Therefore, maintaining appropriate humidity in distribution stations and preventing equipment from moisture, short circuit, corrosion, etc. have become important issues that the power industry must face.

[0003] At present, there are more than 340 power distribution stations in Shapotou District, which are widely distributed. Under the integrated operation mode of marketing and distribution, it will consume a lot of manpower and material resources to conduct a dragnet power inspection and operation and maintenance inspection. The existing humidity monitoring of power distribution stations has the following problems:

[0004] (1) The existing dehumidification method only places a dehumidifier in the corner of the power distribution station and collects the humidity value at the location. The collection location is not representative and cannot reflect the overall humidity of the power distribution station. In addition, the dehumidification location cannot meet the overall dehumidification conditions of the entire power distribution station.

[0005] (2) Excessive humidity in the distribution station is only discovered by manual periodic inspections, which makes it impossible to monitor the humidity in the distribution station in real time and respond in time to take relevant measures;

[0006] (3) The number of distribution stations is huge and they are widely distributed, making it impossible to locate faults, patrol and maintenance efficiency is low and not targeted, and response speed is slow.

[0007] The current dehumidification methods in distribution rooms have certain limitations in terms of dehumidification efficiency and effect, system complexity and cost, space occupancy and installation restrictions, environmental adaptability, and maintenance. At the same time, during the monitoring process, the efficiency of the work team members' dragnet inspections is too low, it takes a long time and it is impossible to monitor the humidity in advance, which results in power outages due to faults.

[0008] In the prior art, a Chinese invention patent with application number 202211016877.0 proposes an intelligent dehumidification device for a distribution station, including a distribution station shell, the distribution station shell is connected to the dehumidification device and performs dehumidification treatment, an energy-saving cleaning device fixed on the distribution station shell achieves energy-saving effect and automatically cleans the photovoltaic panels, ventilation and dust removal sealing devices are passed through both sides of the distribution station shell for ventilation, and the ventilation and dust removal sealing devices are used for auxiliary sealing when the humidity of the external environment is too high. The dehumidification device includes an auxiliary dust removal box, and the dust removal component in the auxiliary dust removal box is used for dust removal treatment. The dust removal component is connected to the auxiliary material dehumidification box through a first exhaust pipe, and the auxiliary material dehumidification box is connected to a dehumidifier, and the dehumidifier is connected to a temperature rising box. The temperature rising box is connected to the distribution station shell through the air outlet on the second exhaust pipe. The device solves the problem of only placing a dehumidifier in a corner to solve the abnormal humidity in the distribution station, but does not play a role in real-time monitoring, and cannot solve the existing problems of low work efficiency and timely response. Summary of the invention

[0009] In order to overcome the above-mentioned problems, the purpose of the present invention is to provide an online monitoring dehumidification control device for a distribution station. The device collects humidity data of the distribution station through a data acquisition module, uses a remote communication module to transmit real-time data, realizes real-time monitoring of humidity at key points of the distribution station, improves the work quality of operation and maintenance, analyzes the current real-time humidity data through a data analysis module, and controls the opening and closing of the dehumidification control module through a remote communication module according to the analysis results, thereby realizing intelligent dehumidification of the distribution station. The device can provide a reliable fault reference point for fault repair and improve the efficiency of fault repair. The device can monitor each distribution station in the area at the same time, detect abnormal humidity in the distribution station in advance and take corresponding measures. It has a wide range of applications and effectively improves the operation safety and reliability of the distribution station.

[0010] The technical solution adopted by the present invention is:

[0011] The online monitoring dehumidification control device for a power distribution station includes a data acquisition module, a data analysis module, a dehumidification control module, a remote communication module, a data monitoring module, and a power module. The data acquisition module is used to collect humidity information in the power distribution station. The data analysis module receives the humidity information in each power distribution station collected by the data acquisition module through the remote communication module, processes the humidity data, and determines whether the humidity is greater than a set threshold. The dehumidification control module starts or shuts down the dehumidification device according to the result of the data analysis module. The remote communication module is used for data transmission. The data monitoring module is used to display the real-time humidity information of each power distribution station. The power module provides power for the operation of the device.

[0012] The data acquisition module uses humidity sensors for data collection, and the humidity sensors are arranged in each power distribution station room.

[0013] The data analysis module uses a Raspberry Pi integrated computing module.

[0014] The dehumidification and humidity control module uses a far-infrared heater for dehumidification.

[0015] The remote communication module adopts a 4G communication module.

[0016] The data monitoring module is displayed using a Web page.

[0017] The power supply module adopts a step-down module to provide electrical energy.

[0018] As a further description of the present invention, the process of the data analysis module is as follows:

[0019] S01: System startup;

[0020] S02: Power on self-test;

[0021] S03: Determine whether the self-test result is normal;

[0022] S04: If the self-test result is normal, start real-time monitoring of the humidity in the distribution station.

[0023] If the self-test result is abnormal, a startup failure alarm signal will be issued;

[0024] S05: Real-time monitoring of humidity information in each distribution station room;

[0025] S06: Determine whether the humidity is greater than or equal to a set threshold;

[0026] S07: If it is greater than the threshold, including the case where it is equal to the threshold, the far-infrared heater of the dehumidification and humidity control module is started, and then the terminal information of each distribution station is summarized.

[0027] If it is less than the threshold, the far-infrared heater of the dehumidification and humidity control module will not be started, and the terminal information of each distribution station will be directly summarized.

[0028] As a further description of the present invention, the humidity information monitored in real time in step S05 of the data analysis module and the terminal information of each distribution station summarized in step S07 are displayed on the web interface of the data monitoring module through the remote communication module.

[0029] As a further description of the present invention, the humidity threshold in step S06 is 75%.

[0030] As a further description of the present invention, the remote communication module is used for data transmission between modules, including four processes: calibration, power-on failure alarm, emergency exception, and general exception. The specific steps of each process are:

[0031] The calibration process is used to calibrate the response time of the data analysis module. After the data analysis module is started, the standard time is sent to the data analysis module;

[0032] After the data analysis module sends the startup failure alarm information, the startup failure alarm process transmits it to the abnormal information database, retrieves the data and pushes the information;

[0033] When the humidity data monitored by the data analysis module rises sharply, the emergency abnormality process issues a serious defect alarm signal and sends an alarm message remotely, and at the same time issues an emergency repair notice;

[0034] The general abnormal process sends out a general defect alarm signal and remotely sends alarm information when the humidity data monitored by the data analysis module exceeds a threshold.

[0035] As a further description of the present invention, the far-infrared heater is a carbon fiber far-infrared heater.

[0036] As a further description of the present invention, the principles of the layout position and quantity of the far-infrared heaters are:

[0037] Priority should be given to equipment-intensive areas and areas prone to condensation.

[0038] Install far-infrared heaters in high humidity areas.

[0039] Far infrared heaters are arranged in key areas

[0040] As a further description of the present invention, the specific process of the web page of the data monitoring module is as follows:

[0041] SW01: Access the page and send data request;

[0042] SW02: Directly receive data according to data request or process data request and then send data, and finally receive data;

[0043] SW03: resolve address;

[0044] SW04: Display the page, i.e. perform Web display;

[0045] SW05: Generate page;

[0046] SW06: directly obtain data according to the generated page, or send data according to the processing request of the generated page and finally obtain data.

[0047] As a further description of the present invention, the humidity sensor is a hydrophobic humidity sensor, specifically a HIH-6130 module.

[0048] Beneficial effects of the present invention:

[0049] The online monitoring dehumidification control device for a power distribution station of the present invention comprises a data acquisition module, a data analysis module, a dehumidification control module, a remote communication module, a data monitoring module and a power supply module. The device collects humidity data of the power distribution station through the data acquisition module, and uses the remote communication module to transmit real-time data, thereby realizing real-time monitoring of humidity at key points of the power distribution station. Personnel can monitor the humidity development of the power distribution station even when they are not on site, thereby reducing personal safety risks to zero and improving the work quality of operation and maintenance work. The current real-time humidity data is analyzed through the data analysis module, and the remote communication module is used to monitor the humidity according to the analysis results. Control the opening and closing of the dehumidification and humidity control module, timely discover the moisture phenomenon in the distribution station, and promptly handle and report it, realizing the intelligent dehumidification of the distribution station and minimizing the probability of failure in the distribution station. The device can provide a reliable fault reference point for fault repair and improve the efficiency of fault repair. The device can monitor each distribution station in the area at the same time, detect the abnormal humidity in the distribution station in advance and take corresponding measures. It has a wide range of applications and efficient dehumidification, avoiding failures of cables, distribution cabinets, and transformers due to moisture, and effectively improving the operation safety and reliability of the distribution station.

[0050] The online monitoring dehumidification control device of the distribution station room of the present invention adopts a carbon fiber far-infrared heater. The carbon fiber heating element in the carbon fiber far-infrared heater has an electric heat conversion rate close to 100%, and the radiated far infrared rays are easily absorbed by objects, thereby effectively realizing dehumidification and temperature control and improving dehumidification efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 This is the overall structure diagram of the online monitoring dehumidification control device for the power distribution station proposed by the present invention;

[0052] Figure 2 This is the principle diagram of the online monitoring dehumidification control device for the power distribution station proposed by the present invention;

[0053] Figure 3 This is a flow chart of the data analysis module of the online monitoring dehumidification control device for the power distribution station proposed by the present invention;

[0054] Figure 4 This is a flow chart of the remote communication module of the online monitoring dehumidification control device for the power distribution station proposed by the present invention;

[0055] Figure 5It is a flow chart showing the web page of the data monitoring module of the online monitoring type dehumidification control device for the power distribution station proposed by the present invention;

[0056] Figure 6 It is the program test interface of the data analysis module of the online monitoring dehumidification control device for the power distribution station proposed by the present invention;

[0057] Figure 7 This is a web page diagram of the online monitoring dehumidification control device for the power distribution station proposed by the present invention;

[0058] Figure 8 This is a web page diagram of the online monitoring dehumidification control device for a distribution station proposed by the present invention. DETAILED DESCRIPTION

[0059] The specific implementation of the present invention is described below in conjunction with the accompanying drawings and embodiments:

[0060] It should be noted that the structures, proportions, sizes, etc. illustrated in the drawings of this specification are only used to match the contents disclosed in the specification for people familiar with this technology to understand and read, and are not used to limit the conditions under which the present invention can be implemented. Any structural modification, change in proportional relationship or adjustment of size should still fall within the scope of the technical contents disclosed in the present invention without affecting the effects and purposes that can be achieved by the present invention.

[0061] At the same time, the terms such as "upper", "lower", "left", "right", "middle" and "one" cited in this specification are only for the convenience of description and are not used to limit the scope of implementation of the present invention. Changes or adjustments to their relative relationships should be regarded as the scope of implementation of the present invention without substantially changing the technical content.

[0062] like Figures 1 to 8 As shown, it shows a specific embodiment of the present invention:

[0063] Example

[0064] The online monitoring dehumidification control device for a power distribution station is characterized in that it includes a data acquisition module, a data analysis module, a dehumidification control module, a remote communication module, a data monitoring module, and a power module. The data acquisition module is used to collect humidity information in the power distribution station. The data analysis module receives the humidity information in each power distribution station collected by the data acquisition module through the remote communication module, processes the humidity data, and determines whether the humidity is greater than a set threshold. The dehumidification control module starts or shuts down the dehumidification device according to the result of the data analysis module. The remote communication module is used for data transmission. The data monitoring module is used to display the real-time humidity information of each power distribution station. The power module provides power for the operation of the device.

[0065] The data acquisition module uses humidity sensors for data collection, and the humidity sensors are arranged in each power distribution station room.

[0066] The data analysis module uses a Raspberry Pi integrated computing module.

[0067] The dehumidification and humidity control module uses a far-infrared heater for dehumidification.

[0068] The remote communication module adopts a 4G communication module.

[0069] The data monitoring module is displayed using a Web page.

[0070] The power supply module adopts a step-down module to provide electrical energy.

[0071] In this embodiment, Figure 1 , Figure 2 As shown, the device collects humidity data of the distribution station through the data acquisition module, uses the remote communication module to transmit real-time data, realizes real-time monitoring of humidity at key points of the distribution station, and personnel can monitor the humidity development of the distribution station even if they are not on site, reducing personal safety risks to zero and improving the work quality of operation and maintenance work. The current real-time humidity data is analyzed through the data analysis module, and the opening and closing of the dehumidification and humidity control module is controlled through the remote communication module according to the analysis results, so as to timely discover the moisture phenomenon in the distribution station, and timely handle and report it, realizing intelligent dehumidification of the distribution station, minimizing the probability of failure of the distribution station, and providing a reliable fault reference point for fault repair, thereby improving the efficiency of fault repair. The device can simultaneously monitor each distribution station in the area, detect abnormal humidity in the distribution station in advance and take corresponding measures, with a wide range of applications and efficient dehumidification, avoiding failures of cables, distribution cabinets, and transformers due to moisture, and effectively improving the operation safety and reliability of the distribution station.

[0072] Specifically, the humidity sensor is a hydrophobic humidity sensor, specifically a HIH-6130 module.

[0073] In this embodiment, the infrared sensing thermopile detector chip and the signal processing dedicated integrated chip are integrated in the TO-39 metal package of the HIH-6130 module. Due to the integration of low noise amplifier, 17-bit analog-to-digital converter and powerful digital signal processing unit, high-precision and high-resolution humidity measurement can be achieved. The humidity sensor has factory calibration, digital PWM and SMBus (system management bus) output mode. As a standard, it is configured as a 10-bit PWM output format for continuous transmission of object humidity in the humidity range of 0%RH-100%RH, with a resolution of ±1%RH. The POR default mode is the SMBus output format, which can fully meet the actual use requirements and is easy to maintain.

[0074] The factory calibration ambient temperature range of the humidity sensor of the HIH-6130 module is -25°C to 85°C. When measuring humidity within this temperature range, the sensor humidity measurement system will automatically compensate for environmental errors. In addition, the HIH-6130 infrared sensor also integrates an optical filter that can transmit long waves. The wavelength passband of the filter is 5.5-14um, which is used to block visible light and near-infrared light radiation, avoid visible light and near-infrared light from affecting the perception of the HIH-6130 probe, reduce measurement impact, and improve sensor measurement accuracy and stability.

[0075] In this embodiment, the humidity sensor is used for testing, and it is found that when the ambient temperature changes, the humidity measurement accuracy of the sensor is slightly affected. The humidity sensor has strong stability and can accurately reflect the actual situation of the distribution station. At the same time, its detection accuracy is high. The specific test data is shown in Table 1 below.

[0076] Table 1 Humidity statistics

[0077]

[0078] Specifically, the process of the data analysis module is as follows:

[0079] S01: System startup;

[0080] S02: Power on self-test;

[0081] S03: Determine whether the self-test result is normal;

[0082] S04: If the self-test result is normal, start real-time monitoring of the humidity in the distribution station.

[0083] If the self-test result is abnormal, a startup failure alarm signal will be issued;

[0084] S05: Real-time monitoring of humidity information in each distribution station room;

[0085] S06: Determine whether the humidity is greater than or equal to a set threshold;

[0086] S07: If it is greater than the threshold, including the case where it is equal to the threshold, the far-infrared heater of the dehumidification and humidity control module is started, and then the terminal information of each distribution station is summarized.

[0087] If it is less than the threshold, the far-infrared heater of the dehumidification and humidity control module will not be started, and the terminal information of each distribution station will be directly summarized.

[0088] Specifically, the humidity information monitored in real time in step S05 of the data analysis module and the terminal information of each power distribution station obtained by summarizing in step S07 are displayed on the Web interface of the data monitoring module through the remote communication module.

[0089] In this embodiment, Figure 3 As shown in the figure, it is a data processing flow chart of the data analysis module. According to the processing flow, the online humidity monitoring of the distribution station is realized. The software program is as follows:

[0090]

[0091] In this embodiment, in the actual test, the data analysis module is connected to the PC, and the program written on the PC is compiled and then imported into the Raspberry Pi integrated computing module to prepare for the function test of the computing module and the program. The computing processing capability and program of the computing module are tested on the PC through the data link. The program test interface is as follows: Figure 6 As shown in the figure, it can be seen that the data analysis module operates correctly and the response time is within 2s. It can process the humidity data of each distribution station collected by the data acquisition module in time to realize online monitoring.

[0092] Specifically, the humidity threshold in step S06 is 75%.

[0093] In this embodiment, the humidity threshold of 75% is set to ensure that each device in the power distribution station can work stably and reliably.

[0094] Specifically, the remote communication module is used for data transmission between modules, including four processes: calibration, startup failure alarm, emergency exception, and general exception.

[0095] In this embodiment, Figure 4 The figure shows the flow chart of the remote communication module. The remote communication module is the carrier of all data transmission of the device. Its software program is as follows:

[0096]

[0097] The specific steps of each process are:

[0098] The calibration process is used to calibrate the response time of the data analysis module. After the data analysis module is started, the standard time is sent to the data analysis module;

[0099] After the data analysis module sends the startup failure alarm information, the startup failure alarm process transmits it to the abnormal information database, retrieves the data and pushes the information;

[0100] When the humidity data monitored by the data analysis module rises sharply, the emergency abnormality process issues a serious defect alarm signal and sends an alarm message remotely, and at the same time issues an emergency repair notice;

[0101] The general abnormal process sends out a general defect alarm signal and remotely sends alarm information when the humidity data monitored by the data analysis module exceeds a threshold.

[0102] In this embodiment, the remote communication module is verified according to the above procedure, and the verification results are shown in Table 2 below. It can be seen from the verification that the transmission accuracy of the module is 100%.

[0103] Table 2 Remote communication module function verification table

[0104]

[0105] Specifically, the far-infrared heater adopts a carbon fiber far-infrared heater

[0106] In this embodiment, the far-infrared heater adopts a carbon fiber far-infrared heater. The carbon fiber heating element in the carbon fiber far-infrared heater has an electric heat conversion rate close to 100%, and the radiated far infrared rays are easily absorbed by objects, thereby effectively realizing dehumidification and temperature control and improving dehumidification efficiency.

[0107] Specifically, the principles for the layout position and quantity of the far-infrared heaters are:

[0108] Priority should be given to equipment-intensive areas and areas prone to condensation.

[0109] Install far-infrared heaters in high humidity areas.

[0110] Far infrared heaters are arranged in key areas

[0111] In this embodiment, according to the above principles, the layout positions of the far-infrared heaters in each distribution station should first be prioritized in areas with dense equipment and prone to condensation, such as around high and low voltage distribution cabinets, to ensure that these key equipment are adequately heated and dehumidified; secondly, according to the environmental humidity monitoring data, the far-infrared heaters are installed in areas with higher humidity to effectively reduce the humidity in the area and prevent electrical equipment from getting damp; finally, in key areas such as cable trenches and vents, moisture is easy to accumulate and enter the distribution station. Arranging far-infrared heaters at these locations can accelerate the discharge and replacement of moisture and improve efficiency.

[0112] In this embodiment, the actual layout position of the humidity sensor is consistent with the principle of the layout position of the far-infrared heater. Because the excessive humidity in equipment-intensive areas, areas prone to condensation, high humidity areas, and key areas will affect the normal operation of the equipment, the layout of humidity sensors in this area can truly reflect the actual situation of the distribution station and achieve the purpose of real-time online monitoring.

[0113] Specifically, the specific process of the Web page of the data monitoring module is as follows:

[0114] SW01: Access the page and send data request;

[0115] SW02: Directly receive data according to data request or process data request and then send data, and finally receive data;

[0116] SW03: resolve address;

[0117] SW04: Display the page, i.e. perform Web display;

[0118] SW05: Generate page;

[0119] SW06: directly obtain data according to the generated page, or send data according to the processing request of the generated page and finally obtain data.

[0120] In this embodiment, Figure 5 The following is a flow chart of the web page of the data monitoring module, which is used to log in to the page on a mobile phone or computer. The software program is as follows:

[0121]

[0122] In this embodiment, it is actually verified that the domain name applied can be successfully logged into the mobile phone and computer web page, such as Figure 7 , Figure 8 shown.

[0123] The preferred embodiments of the present invention are described in detail above in conjunction with the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge scope of ordinary technicians in this field without departing from the purpose of the present invention.

[0124] Many other changes and modifications may be made without departing from the concept and scope of the present invention.It should be understood that the present invention is not limited to the specific embodiments, and the scope of the present invention is defined by the appended claims.

Claims

1. Online monitoring dehumidification control device for power distribution station, characterized in that: It includes a data acquisition module, a data analysis module, a dehumidification and humidity control module, a remote communication module, a data monitoring module, and a power module. The data acquisition module is used to collect humidity information in the power distribution station. The data analysis module receives the humidity information in each power distribution station collected by the data acquisition module through the remote communication module, processes the humidity data, and determines whether the humidity is greater than the set threshold. The dehumidification and humidity control module starts or shuts down the dehumidification device according to the result of the data analysis module. The remote communication module is used for data transmission. The data monitoring module is used to display the real-time humidity information of each power distribution station. The power module provides power for the operation of the device. The data acquisition module uses humidity sensors for data collection, and the humidity sensors are arranged in each power distribution station room. The data analysis module uses a Raspberry Pi integrated computing module. The dehumidification and humidity control module uses a far-infrared heater for dehumidification. The remote communication module adopts a 4G communication module. The data monitoring module is displayed using a Web page. The power supply module adopts a step-down module to provide electrical energy.

2. The online monitoring dehumidification control device for power distribution station according to claim 1 is characterized in that: The process of the data analysis module is as follows: S01: System startup; S02: Power on self-test; S03: Determine whether the self-test result is normal; S04: If the self-test result is normal, start real-time monitoring of the humidity in the distribution station. If the self-test result is abnormal, a startup failure alarm signal will be issued; S05: Real-time monitoring of humidity information in each distribution station room; S06: Determine whether the humidity is greater than or equal to a set threshold; S07: If it is greater than the threshold, including the case where it is equal to the threshold, the far-infrared heater of the dehumidification and humidity control module is started, and then the terminal information of each distribution station is summarized. If it is less than the threshold, the far-infrared heater of the dehumidification and humidity control module will not be started, and the terminal information of each distribution station will be directly summarized.

3. The online monitoring dehumidification control device for power distribution station according to claim 2 is characterized in that: The humidity information monitored in real time in step S05 of the data analysis module and the terminal information of each power distribution station obtained by summarizing in step S07 are displayed on the web interface of the data monitoring module through the remote communication module.

4. The online monitoring dehumidification control device for power distribution station according to claim 2 is characterized in that: The humidity threshold in step S06 is 75%.

5. The online monitoring dehumidification control device for power distribution station according to claim 1 is characterized in that: The remote communication module is used for data transmission between modules, including four processes: calibration, power-on failure alarm, emergency exception, and general exception. The specific steps of each process are as follows: The calibration process is used to calibrate the response time of the data analysis module. After the data analysis module is started, the standard time is sent to the data analysis module; After the data analysis module sends the startup failure alarm information, the startup failure alarm process transmits it to the abnormal information database, retrieves the data and pushes the information; When the humidity data monitored by the data analysis module rises sharply, the emergency abnormality process issues a serious defect alarm signal and sends an alarm message remotely, and at the same time issues an emergency repair notice; The general abnormal process sends out a general defect alarm signal and remotely sends alarm information when the humidity data monitored by the data analysis module exceeds a threshold.

6. The online monitoring dehumidification control device for power distribution station according to claim 1 is characterized in that: The far-infrared heater adopts a carbon fiber far-infrared heater.

7. The online monitoring dehumidification control device for power distribution station according to claim 6 is characterized in that: The principles for the layout position and quantity of the far-infrared heaters are: Priority should be given to equipment-intensive areas and areas prone to condensation. Install far-infrared heaters in high humidity areas. Far infrared heaters are arranged in key areas.

8. The online monitoring dehumidification control device for power distribution station according to claim 1, characterized in that: The specific process of the Web page of the data monitoring module is as follows: SW01: Access the page and send data request; SW02: Directly receive data according to data request or process data request and then send data, and finally receive data; SW03: resolve address; SW04: Display the page, i.e. perform Web display; SW05: Generate page; SW06: directly obtain data according to the generated page, or send data according to the processing request of the generated page and finally obtain data.

9. The online monitoring dehumidification control device for power distribution station according to claim 1, characterized in that: The humidity sensor is a hydrophobic humidity sensor, specifically a HIH-6130 module.

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