CN113297741B - Multi-strategy electric cabinet dehumidification and anti-condensation method based on heterogeneous Internet of things - Google Patents
Multi-strategy electric cabinet dehumidification and anti-condensation method based on heterogeneous Internet of things Download PDFInfo
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Abstract
The invention discloses a multi-strategy electric cabinet dehumidification and dewing prevention method based on a heterogeneous Internet of things, which comprises the following steps of: h200, a data acquisition module acquires dynamic data of temperature and humidity in the cabinet in real time; h201, obtaining the dew point temperature t by using a dew point temperature calculation mode through temperature and humidity d (ii) a H202, the power cabinet dehumidification and anti-condensation system computing unit judges whether the dew-condensation condition is met or the dew-condensation tendency is generated through anti-condensation model operation; h203, if the dew condensation condition is met or the dew condensation trend is generated, starting a heating control module and a refrigerating module; and H204, transmitting data to the monitoring cloud platform through the transmission module in real time. The invention adopts the edge calculation technology, locally and intelligently decides the on-off time of the heating and condensing device in a multi-dimensional way on site, effectively breaks the balance of condensation points, dehumidifies the environment in the cabinet, effectively eliminates the condensation phenomenon on the surface of the cabinet and a terminal block, and simultaneously avoids the problems of equipment aging loss and energy consumption caused by overheating.
Description
Technical Field
The invention relates to the field of dehumidification of electric power cabinets, in particular to a heterogeneous Internet of things-based multi-strategy dehumidification and anti-condensation method for an electric power cabinet.
Background
Through the field investigation, the electric power operation system environment ubiquitous humidity of china, ponding problem, and this kind of abominable electric operation environment is extremely unfavorable to electrical equipment's life and electric power system operation environment, if: switch cabinet is affected with the tide and is exploded, and the switch board is affected with the tide and mildenes and rot the corruption, and humidity, dewfall in switch board, the block terminal, the electrical short circuit of generating line crane span structure, the moist ponding phenomenon of cable pit is many to take place. Because electrical equipment runs in a high humidity environment for a long time, various metal materials are rusted seriously, and the most direct harm is to cause the switch to refuse to move and influence the normal operation of the disconnecting link. The humid environment easily makes and produces "mildy and rot" in the switch board, and the potential safety hazard of greatly increased switch board flashover, short circuit, puncture can explode even.
In order to solve the problem, most of domestic power distribution cabinets adopt a mode of configuring a temperature controller to prevent condensation, and the condensation on the inner surface of the power distribution cabinet is avoided by raising the temperature in the power distribution cabinet through a temperature driving heater. However, the method only breaks through the temporary equilibrium state of the water vapor saturation degree in the local range of the power cabinet, misguides operation and maintenance personnel to judge the internal environment of the power distribution cabinet, accelerates the aging of an internal wiring plate and a line by the aid of unknowingly heating, and buries deeper hidden dangers. Meanwhile, an intelligent operation and maintenance platform is not available, equipment in the power distribution cabinet cannot be accessed into the operation and maintenance platform in a remote area, the operation of the equipment is separated from control, and the problems of condensation and system access in the power distribution cabinets in different regions need to be solved urgently.
Disclosure of Invention
The invention provides a dehumidification and anti-condensation method for a multi-strategy power cabinet based on a heterogeneous Internet of things, which aims to solve the problems of condensation and system access in power distribution cabinets in different regions.
The invention particularly relates to a multi-strategy electric cabinet dehumidification and dewing prevention method based on a heterogeneous Internet of things, which comprises the following steps:
h200, a data acquisition module acquires dynamic data of temperature and humidity in the cabinet in real time;
h201, obtaining the dew point temperature t by using a dew point temperature calculation mode through temperature and humidity d ；
H202, the power cabinet dehumidification and anti-condensation system computing unit judges whether the power cabinet dehumidification and anti-condensation system achieves a condensation condition or generates a condensation trend through anti-condensation model operation;
h203, if the dew condensation condition is met or the dew condensation trend is generated, starting a heating control module and a refrigerating module;
and H204, transmitting data to the monitoring cloud platform through the transmission module in real time.
Further, the dew point temperature t d The calculation method is as follows:
t is 273.15+ T, T is the air temperature, and the unit is ℃;
water vapor saturation pressure pws, in Pa;
when the air temperature t is in the range of-100 to 0 ℃,
ln pws＝C 1 /T+C 2 +C 3 T+C 4 T 2 +C 5 T 3 +C 6 T 4 +C 7 lnT；
wherein: c 1 ＝-5.6745359E+03；C 2 ＝6.3925247E+00；C 3 ＝-9.6778430E-03；C 4 ＝6.2215701E-07； C 5 ＝2.0747825E-09；C 6 ＝-9.4840240E-13；C 7 ＝4.1635019E+00；
When the air temperature t is in the range of 0-200 ℃,
ln pws＝C 8 /T+C 9 +C 10 T+C 11 T 2 +C 12 T 3 +C 13 lnT；
wherein: c 8 ＝-5.8002206E+03；C 9 ＝1.3914993E+00；C 10 ＝-4.8640239E-02；C 11 ＝4.1764768E-05； C 12 ＝-1.4452093E-08；C 13 ＝6.5459673E+00；
Relative humidity j ═ pw/pws
Dew point temperature t d The unit temperature is in the range of 0-93 ℃;
td＝C 14 +C 15 a+C 16 a 2 +C 17 a 3 +C 18 (pw) 0.1984 ；
wherein, a is ln pw, and pw is water vapor partial pressure in unit of kPa;
C 14 ＝6.54；C 15 ＝14.526；C 16 ＝0.7389；C 17 ＝0.09486；C 18 ＝0.4569。
further, electric power cabinet dehumidification antisweat system is including installing intelligent dehydrating unit, thing networking gateway and the thing networking supervision platform in the electric power cabinet, thing networking supervision platform includes thing networking basic platform and visual fortune dimension platform.
Furthermore, intelligence dehydrating unit includes power module, computational unit, communication unit, refrigeration module, temperature and humidity sensor, fan, heating circuit and drainage pipe, and the fan sets up in the side of electric power cabinet, and drainage pipe sets up in the bottom of electric power cabinet, and power module, computational unit, communication unit, refrigeration module, temperature and humidity sensor and heating circuit set up in the inside of electric power cabinet.
Furthermore, the refrigeration module adopts a semiconductor refrigeration piece.
Further, the communication unit uses a LoRa or NBIoT communication module to perform wireless transmission.
Furthermore, the temperature and humidity sensor of the intelligent dehumidifying device is connected with the cabinet through an AI (artificial intelligence) of 4-20 mA, and respectively measures the air temperature in the cabinet, the air humidity in the cabinet, the surface humidity of the cabinet body, the air temperature outside the cabinet and the air humidity outside the cabinet.
Furthermore, the intelligent dehumidifying device is provided with 2 DO ports for connecting two heaters and deciding to turn on 1 or 2 heaters according to the condensation risk level.
Further, the anti-condensation model is as follows: the dew condensation risk temperature difference value delta T is equal to the surface temperature Ts-the internal dew point temperature T of the cabinet body d (ii) a When the surface temperature Ts of the cabinet body is less than or equal to the dew point temperature t in the cabinet d When the delta T is less than or equal to 0, the surface of the cabinet body forms dew condensation; the temperature of the surface of the cabinet body is increased through heating, the delta T value is increased, and dew condensation can be effectively avoided.
Furthermore, the gateway and the basic platform of the internet of things are designed by using an MPLS-like multi-protocol data frame format, so that equipment adopting different network communication modes can be identified and managed in a unified manner; in order to adapt to the heterogeneous network transmission, the devices are uniformly designed by adopting ID-based network identification.
Compared with the closest prior art, the technical scheme provided by the invention has the following beneficial effects:
1) the invention deeply analyzes the condensation cause, adopts the edge calculation technology, and locally and intelligently decides the on-off adjusting time of the heating and condensing device in a multi-dimensional way on site, thereby effectively breaking the balance of condensation points, not only carrying out a dehumidification strategy, but also preventing the condensation phenomenon of the surface of the cabinet body and the terminal strip, and simultaneously avoiding the problems of equipment aging loss and energy consumption caused by overheating. The device takes full account of redundancy and subsequent expansion in the interface design. The equipment intelligently decides the starting of the equipment according to whether the running state is normal or not and the running time, prevents the equipment from being damaged and balances the service life of the equipment.
2) The invention also provides an overall solution based on the heterogeneous Internet of things, provides related design on the protocol exchange of multiple networks, and can adapt to various modes such as detection of relative concentration points in a district, detection of outdoor single points and the like on the deployment of the networks. Meanwhile, an access scheme of a platform end is provided, the running state of the intelligent dehumidifying device can be monitored through the platform, parameters can be adjusted according to actual running environments (such as day and night, seasons and regions), and different heating and dehumidifying quantity requirements can be adapted. The historical data accumulated by the operation of the platform can be used for big data analysis and artificial intelligence decision making, and a data basis is provided for subsequent expansion.
Drawings
FIG. 1 is a schematic flow diagram of a dehumidification and anti-condensation method of a multi-strategy power cabinet based on heterogeneous Internet of things;
FIG. 2 is a structural diagram of the dehumidification and dewing prevention system of the electric power cabinet of the present invention;
FIG. 3 is a schematic diagram of an electric cabinet according to the present invention;
fig. 4 is an interface diagram of the intelligent dehumidifying apparatus of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention.
As shown in fig. 1, the heterogeneous internet of things-based multi-strategy dehumidification and dewing prevention method for the power cabinet comprises the following steps:
h200, a data acquisition module acquires dynamic data of temperature and humidity in the cabinet in real time;
h201, obtaining a dew point temperature td through temperature and humidity by using a dew point temperature calculation mode;
h202, calculating whether dehumidification and heating conditions are achieved or not by a power cabinet dehumidification and anti-condensation system calculating unit through anti-condensation model operation;
h203, if the dew condensation condition is met or the dew condensation trend is generated, starting a heating control module and a refrigerating module;
and H204, transmitting data to the monitoring cloud platform through the transmission module in real time.
Dew point temperature t d And calculating data during condensation by the following formula to ensure the accuracy of the data, wherein the calculation mode is as follows:
t is 273.15+ T, T is the air temperature, and the unit is ℃;
water vapor saturation pressure pws, unit Pa;
when the air temperature t ranges from-100 to 0 ℃,
ln pws＝C 1 /T+C 2 +C 3 T+C 4 T 2 +C 5 T 3 +C 6 T 4 +C 7 lnT；
wherein: c 1 ＝-5.6745359E+03；C 2 ＝6.3925247E+00；C 3 ＝-9.6778430E-03；C 4 ＝6.2215701E-07； C 5 ＝2.0747825E-09；C 6 ＝-9.4840240E-13；C 7 ＝4.1635019E+00；
When the air temperature t is in the range of 0-200 ℃,
ln pws＝C 8 /T+C 9 +C 10 T+C 11 T 2 +C 12 T 3 +C 13 lnT；
wherein: c 8 ＝-5.8002206E+03；C 9 ＝1.3914993E+00；C 10 ＝-4.8640239E-02；C 11 ＝4.1764768E-05； C 12 ＝-1.4452093E-08；C 13 ＝6.5459673E+00；
Relative humidity j ═ pw/pws
Dew point temperature t d The unit temperature is in the range of 0-93 ℃;
td＝C 14 +C 15 a+C 16 a 2 +C 17 a 3 +C 18 (pw) 0.1984 ；
wherein a is ln pw, and pw is water vapor partial pressure in unit kPa;
C 14 ＝6.54；C 15 ＝14.526；C 16 ＝0.7389；C 17 ＝0.09486；C 18 ＝0.4569。
referring to fig. 2 and 3, the dehumidification and dewing prevention system for the electric power cabinet comprises an intelligent dehumidification device, an internet of things gateway, an internet of things base platform and a visual operation and maintenance platform which are installed in the electric power cabinet 1, and the internet of things base platform and the visual operation and maintenance platform are collectively called as an internet of things supervision platform. The intelligent dehumidifying device communication part adopts the modularized design, can support multiple different network transmission modes such as loRa, NBIoT 2G, and when using the loRa wireless communication mode, all intelligent dehumidifying devices in a district can access the thing networking gateway that is responsible for managing this district, through thing networking gateway butt joint thing networking basic platform, realize the uplink and downlink transmission of data. When the power distribution cabinet is in a remote area and is relatively isolated, the number in a certain distance is small, and under the condition of no backbone network, an NBIoT/2G communication mode can be adopted, equipment can be directly accessed to an IoT basic platform, and the environment in the power distribution cabinet can be detected and controlled.
The intelligent dehumidifying device comprises a power supply module, a calculating unit, a communication unit, a refrigerating module, a temperature and humidity sensor, a fan 2, a heating loop and a drainage pipeline 3. The fan 2 is arranged on the side face of the electric power cabinet, the drainage pipeline 3 is arranged at the bottom of the electric power cabinet, and the power supply module, the computing unit, the communication unit, the refrigeration module, the temperature and humidity sensor and the heating loop are arranged inside the electric power cabinet.
The refrigerating module adopts the semiconductor refrigeration piece, adopts the Peltier effect, changes the current direction refrigeration of semiconductor refrigeration piece, and the comdenstion water that vapor was liquefied through the refrigeration piece can be discharged through drainage pipe, and the heating adopts external heating ware, and heating loop in the electric power cabinet is connected to external heating ware, carries out the regulation of heating through PID calculation. The communication unit can perform wireless transmission using a communication module such as LoRa or NBIoT.
Referring to fig. 4, the temperature and humidity sensor of the intelligent dehumidifier is connected with an AI (4 to 20mA), the AI1 measures the air temperature inside the cabinet, the AI2 measures the air humidity inside the cabinet, the AI3 measures the surface humidity of the cabinet, the AI4 measures the air temperature outside the cabinet, and the AI5 measures the air humidity outside the cabinet.
The air temperature and the air humidity in the cabinet are used for calculating the dew point temperature of the air in the cabinet, and meanwhile, the air humidity in the cabinet can be used for deciding the opening and closing of the dehumidification of the refrigeration sheet by utilizing the Peltier effect; the temperature difference between the surface temperature of the cabinet body and the dew point temperature is used for deciding the opening number and the closing time of the heaters; and the outside air temperature and the outside air humidity are transmitted to the Internet of things monitoring platform for detecting and referencing the external environment state of the current power distribution cabinet. The intelligent dehumidifying device is designed with 2 DO ports, namely DO1 and DO2, and is used for connecting two heaters, and 1 or 2 heaters are decided to be started according to the condensation risk level.
Meanwhile, an RS485 interface and a DI interface are reserved in the design of the intelligent dehumidifying device, the intelligent dehumidifying device can be used for upgrading and configuring on-site equipment, meanwhile, the equipment and the state point can be conveniently detected in the later stage, and the redundancy and the expansion requirements are fully considered.
The core function of the dehumidification and anti-condensation system of the power cabinet is to dehumidify the environment in the power distribution cabinet, prevent the formation of a condensation site and eliminate potential safety hazards of the power operation environment. The intelligent decision-making that adopts the multidimension degree makes the power distribution cabinet internal environment reach the state that is suitable for the operation to save energy consumption, prevent equipment ageing and the potential safety hazard that the overheating leads to, the fortune dimension personnel can detect and manage the operational environment, according to day and night, season real-time adjustment system parameter, and solve the network access problem of different environment monitoring points simultaneously.
The dew condensation risk temperature difference value delta T is equal to the surface temperature Ts-the internal dew point temperature T of the cabinet body d ；
The reason for dew formation on the surface of the cabinet body is as follows: the surface temperature Ts of the cabinet body is less than or equal to the dew point temperature t in the cabinet d I.e. Δ T is less than or equal to 0; therefore, the surface temperature of the cabinet body is increased through heating, the delta T value is increased, the dewing can be effectively avoided, but the overheating possibly causes the aging of circuits and other potential safety hazards in the power distribution cabinet, so that the system adopts an edge calculation model, intelligently decides the heating opening and closing time, and avoids the potential safety hazards and the energy consumption problems caused by overheating while achieving the dewing prevention.
The delta T value is increased through heating, the saturation balance of the environment air in the cabinet is broken, the dew formation can be prevented, but the water vapor in the cabinet is not fundamentally discharged, when the relative humidity of the environment water vapor in the cabinet is too high, the temperature difference between the surface of the refrigeration sheet and the air temperature is generated by utilizing the Peltier effect, the water vapor in the cabinet is condensed and discharged, and therefore the relative humidity is reduced.
The effects of dehumidification and condensation prevention are achieved by using two strategies of heating and refrigeration at the same time and dynamically adjusting the operation parameters, the condensation prevention model mainly comprises the two strategies, default parameters are taken as examples, and the execution strategy logic from the intelligent dehumidification device end to the Internet of things monitoring platform under the two strategies is shown in the table.
The value ranges of the parameters delta T, Ts and RH in the table can be configured and adjusted through the internet of things supervision platform, and can be adjusted according to regional climate, day and night and seasons of an operation site, and the adjusted parameters can be sent to the equipment end of the intelligent dehumidifying device through network downlink data and received and stored by the intelligent dehumidifying device.
The equipment end of the system supports various forms of network access platforms to adapt to the coverage conditions of networks and equipment points in different areas, the communication Protocol of the equipment adopts a unified design, and the gateway of the Internet of things and the basic platform of the Internet of things are designed in an MPLS (Multi-Protocol Label Switching, abbreviated as MPLS) mode, so that the equipment adopting different network communication modes can be identified and managed in a unified way.
And (3) designing the format of the MPLS-like multiprotocol data frame:
| two-layer network header | MPLS-like labels | Upper layer data header | Data segment |
| N | N | N | N |
Class MPLS label:
| Network Type | MPLS Header | Protocol header | Device ID | | CRC | |
| 1 |
2 | N Bytes | 2 Bytes | N Bytes |
MPLS Header：
| QoS | TTL1 | PHL |
| BIT[15:13] | BIT[12:8] | BIT[7:0] |
Protocol header：
| Reserved | Protocol Type | TTL2 | payload length |
| N Bytes | BIT[15:12] | BIT[11:8] | BIT[7:0] |
the network control of the system adopts an MPLS-like distributed forwarding control strategy, the operation data subscription of an Internet of things basic platform to intelligent dehumidifying devices with different communication modes can be realized, and the point-to-point data forwarding can be realized. When big data analysis is used in the later period, the anti-condensation model operation parameters of the power distribution cabinet in a certain area can be obtained and forwarded to the intelligent dehumidifying device of the power distribution cabinet in the adjacent area, so that the operation parameters can be dynamically learned, the optimal adjusting effect can be achieved, and the dehumidifying and anti-condensation can be more efficiently and reliably realized. In order to adapt to heterogeneous Network transmission, the devices are uniformly designed by adopting an ID-based Network identifier, and a Network Type identifies a Network Type, such as LoRa, NBIoT and 4G; the MPLS Header includes QoS (network quality of service), TTL (Time to Live), PHL (protocol Header length); QoS defines the data transmission capability, which is divided into three levels of 0, 1 and 2 at present, the later period can be expanded, 0 represents that at most one transmission is carried out, the network can transmit in a Best Effort mode, but the packet loss is allowed; 1: at least once, ensuring that the receiver receives data, but possibly multiple times; 2: once and only once, ensuring that the receiver receives the data and only once. TTL is designed to prevent the network from looping and packets are forwarded indefinitely, e.g. by setting TTL to 5, i.e. packets will be automatically discarded after being forwarded 5 times. The PHL specifies the length of the subsequent field protocol header. The Protocol header has variable length, so that subsequent expansion is facilitated, for example, a Device ID occupies 2 bytes and can represent 65534 equipment nodes (0 is not used for reservation) at most, and the expandable length can adapt to requirements if the system capacity is increased in the later period. Payload data is system data, such as temperature and humidity, dew point temperature, current equipment on-off state and the like, and the system can be designed according to business requirements. The CRC is used to check the correctness of the data.
QoS: (network) quality of service, which represents the transmission capacity of the data on the network, takes values: 0,1,2. 0 indicates that at most one transmission is carried out, the network can transmit in a Best Effort mode, but packet loss is allowed; 1: at least once, ensuring that the receiver receives data, but possibly multiple times; 2: once and only once, ensuring that the receiver receives the data and only once.
The intelligent dehumidifying device can be accessed to a supervision platform through a gateway (such as a LoRa network) or directly (such as a NBIoT network), and the supervision platform comprises six functional modules of remote control, service management, equipment management, an area map, equipment statistics and flow statistics. Remote control can lead operation and maintenance personnel to carry out remote control intervention on the dehumidification and heating device in the field power distribution cabinet; the service management mainly provides an interface for operation and maintenance personnel to modify field operation parameters; the equipment management is mainly used for increasing, deleting, changing and checking the intelligent dehumidifying device and the sensor accessed on site, configuring the range/address and the like; the regional map provides statistical overview information of the power distribution cabinets in each region, and zooming and grading viewing can be performed; the equipment statistics is used for counting and displaying the current online/offline/fault equipment; the flow statistics is used for carrying out statistics display and recharging prompt on the flow using the flow card equipment. The platform has the basic functions required by the dehumidification service of the power distribution cabinet, and can meet the requirements of on-site operation and maintenance.
The invention deeply analyzes the condensation reason, adopts an edge calculation mode, and locally and intelligently decides the on-off adjusting time of the heating and condensing device in a multi-dimensional way on site, thereby effectively breaking the balance of condensation points, not only carrying out a dehumidification strategy, but also preventing the condensation phenomenon on the surface of the cabinet body, and simultaneously avoiding the problems of equipment aging loss and energy consumption caused by excessive dehumidification and heating. The device takes redundancy and subsequent expansion into full consideration in interface design. The equipment intelligently decides the starting of the equipment according to whether the running state is normal or not and the running time, prevents the equipment from being damaged and balances the service life of the equipment.
The invention also provides an overall solution based on the heterogeneous Internet of things, provides related design on the protocol exchange of multiple networks, and can adapt to various modes such as detection of relative concentrated points in a district, detection of outdoor single points and the like on the deployment of the networks. Meanwhile, an access scheme of a platform end is provided, the running state of the intelligent dehumidifying device can be supervised through the platform, parameters can be adjusted according to actual running environments (such as day and night, seasons and regions), and different heating and dehumidifying quantity requirements can be adapted. The historical data accumulated by the operation of the platform can be used for big data analysis and artificial intelligence decision making, and a data basis is provided for subsequent expansion.
While there have been shown and described what are at present considered the fundamental principles and essential features of the invention and its advantages, it will be apparent to those skilled in the art that the invention is not limited to the details of the foregoing exemplary embodiments, but is capable of other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (1)
1. A multi-strategy electric cabinet dehumidification and dewing prevention method based on heterogeneous Internet of things is characterized by comprising the following steps:
h200, a data acquisition module acquires dynamic data of temperature and humidity in the cabinet in real time;
h201, obtaining the dew point temperature t by using a dew point temperature calculation mode through temperature and humidity d ；
H202, the power cabinet dehumidification and anti-condensation system computing unit judges whether the power cabinet dehumidification and anti-condensation system achieves a condensation condition or generates a condensation trend through anti-condensation model operation;
h203, if the dew condensation condition is achieved or the dew condensation trend is generated, starting a heating control module and a refrigerating module;
h204, transmitting data to the monitoring cloud platform through the transmission module in real time;
the dew point temperature td is calculated as follows:
t is 273.15+ T, T is the air temperature, and the unit is ℃;
water vapor saturation pressure pws, unit Pa;
when the air temperature t ranges from-100 to 0 ℃,
ln pws＝C 1 /T+C 2 +C 3 T+C 4 T 2 +C 5 T 3 +C 6 T 4 +C 7 lnT；
wherein: c 1 ＝-5.6745359E+03；C 2 ＝6.3925247E+00；C 3 ＝-9.6778430E-03；C 4 ＝6.2215701E-07；C 5 ＝2.0747825E-09；C 6 ＝-9.4840240E-13；C 7 ＝4.1635019E+00；
When the air temperature t is in the range of 0-200 ℃,
ln pws＝C 8 /T+C 9 +C 10 T+C 11 T 2 +C 12 T 3 +C 13 lnT；
wherein: c 8 ＝-5.8002206E+03；C 9 ＝1.3914993E+00；C 10 ＝-4.8640239E-02；C 11 ＝4.1764768E-05；C 12 ＝-1.4452093E-08；C 13 ＝6.5459673E+00；
Relative humidity j ═ pw/pws
Dew point temperature t d The unit temperature is in the range of 0-93 ℃;
td＝C 14 +C 15 a+C 16 a 2 +C 17 a 3 +C 18 (pw) 0.1984 ；
wherein, a is ln pw, and pw is water vapor partial pressure in unit of kPa;
C 14 ＝6.54；C 15 ＝14.526；C 16 ＝0.7389；C 17 ＝0.09486；C 18 ＝0.4569；
the dehumidification and dewing prevention system of the electric power cabinet comprises an intelligent dehumidification device, an Internet of things gateway and an Internet of things supervision platform, wherein the intelligent dehumidification device, the Internet of things gateway and the Internet of things supervision platform are installed in the electric power cabinet;
the intelligent dehumidifying device comprises a power supply module, a calculating unit, a communication unit, a refrigerating module, a temperature and humidity sensor, a fan, a heating loop and a drainage pipeline, wherein the fan is arranged on the side surface of the electric cabinet, the drainage pipeline is arranged at the bottom of the electric cabinet, and the power supply module, the calculating unit, the communication unit, the refrigerating module, the temperature and humidity sensor and the heating loop are arranged inside the electric cabinet;
the refrigerating module adopts a semiconductor refrigerating sheet;
the communication unit uses a LoRa or NBIoT communication module group for wireless transmission;
the temperature and humidity sensor of the intelligent dehumidifying device is connected with the intelligent dehumidifying device through an AI (artificial intelligence) of 4-20 mA, and is used for measuring the air temperature in the cabinet, the air humidity in the cabinet, the surface temperature of the cabinet body, the air temperature outside the cabinet and the air humidity outside the cabinet respectively; the air temperature and the air humidity in the cabinet are used for calculating the dew point temperature of the air in the cabinet, and meanwhile, the air humidity in the cabinet can be used for deciding the opening and closing of the dehumidification of the refrigeration sheet by utilizing the Peltier effect; the temperature difference between the surface temperature of the cabinet body and the dew point temperature is used for deciding the opening number and the closing time of the heaters; the outside air temperature and the outside air humidity are transmitted to an Internet of things monitoring platform and used for detecting and referencing the external environment state of the current power distribution cabinet; the intelligent dehumidifying device is provided with 2 DO ports, namely DO1 and DO2, which are used for connecting two heaters and deciding to turn on 1 or 2 heaters according to the condensation risk level;
the preventionThe dewing model is as follows: the dewing risk temperature difference value delta T is equal to the cabinet body surface temperature Ts-the internal dew point temperature T d (ii) a When the surface temperature Ts of the cabinet body is less than or equal to the dew point temperature t in the cabinet d When the delta T is less than or equal to 0, the surface of the cabinet body forms dew condensation; the temperature of the surface of the cabinet body is increased through heating, the delta T value is increased, and condensation can be effectively avoided;
the gateway and the basic platform of the Internet of things are designed by using an MPLS-like multi-protocol data frame format, so that equipment adopting different network communication modes can be identified and managed in a unified manner; in order to adapt to heterogeneous network transmission, the device is uniformly designed by adopting an ID-based network identification.
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