CN113783112A - Self-adaptive intelligent dehumidification temperature control device - Google Patents
Self-adaptive intelligent dehumidification temperature control device Download PDFInfo
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- CN113783112A CN113783112A CN202110986632.XA CN202110986632A CN113783112A CN 113783112 A CN113783112 A CN 113783112A CN 202110986632 A CN202110986632 A CN 202110986632A CN 113783112 A CN113783112 A CN 113783112A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02B—BOARDS, SUBSTATIONS OR SWITCHING ARRANGEMENTS FOR THE SUPPLY OR DISTRIBUTION OF ELECTRIC POWER
- H02B1/00—Frameworks, boards, panels, desks, casings; Details of substations or switching arrangements
- H02B1/26—Casings; Parts thereof or accessories therefor
- H02B1/28—Casings; Parts thereof or accessories therefor dustproof, splashproof, drip-proof, waterproof or flameproof
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02B—BOARDS, SUBSTATIONS OR SWITCHING ARRANGEMENTS FOR THE SUPPLY OR DISTRIBUTION OF ELECTRIC POWER
- H02B1/00—Frameworks, boards, panels, desks, casings; Details of substations or switching arrangements
- H02B1/56—Cooling; Ventilation
- H02B1/565—Cooling; Ventilation for cabinets
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
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Abstract
The invention relates to a self-adaptive intelligent dehumidification temperature control device, which comprises a shell, an air inlet fan, a temperature and humidity detection device, a semiconductor condensation device, a heating device, an air outlet fan and a control unit, wherein the shell is arranged in a terminal box at a position far away from electrified equipment; the control unit controls the air inlet fan and the air outlet fan to automatically switch rotating speeds so as to realize temperature and humidity monitoring of a far area and a near area in the terminal box; the control unit automatically controls the power consumption of the semiconductor condensing device and the heating device to be adaptive to the air flow rate so as to reduce the power consumption of the semiconductor condensing device and the heating device. The device not only is favorable for carrying out dehumidification and temperature control on the terminal box, but also has low working energy consumption.
Description
Technical Field
The invention belongs to the technical field of electrical equipment dehumidification, and particularly relates to a self-adaptive intelligent dehumidification temperature control device.
Background
At present, the problems of moisture, condensation and the like exist in a terminal box commonly used in an electric power system, and the insulation performance of electric equipment in a cabinet is directly influenced. The reasons for the generation of condensation are generally as follows: (1) the phenomenon of heavy humidity and condensation at night caused by large temperature change day and night, especially in rainy seasons, due to long-time rainfall, the humidity and sultry of the weather, and heat generated by continuous work of electric elements in the running terminal box, a large amount of water vapor is condensed to form dew. (2) The connection hole between the bottom of the cabinet and the cable trench is not blocked or has a gap, so that moisture in the cable trench is led into the cabinet through the hole or the gap and cannot be discharged in time. (3) In consideration of safety protection, the terminal box is generally good in sealing performance, but poor in heat dissipation performance, and with the opening of the heater in the box, moisture is evaporated to form steam in the box, and a large amount of condensation is formed on the bottom, the top and the wall of the box.
Therefore, the control of the humidity and the temperature in the box has important significance for improving the insulation performance of the electrical equipment in the terminal box. The optimum humidity of the electrical equipment in the terminal box should be maintained between 30% and 60%, and if the humidity exceeds 60%, condensation is easily formed, which may adversely affect the insulation performance of the electrical equipment. The harm of the generation of condensation to the terminal box is mainly shown in the following steps: 1. partial discharge and ground arc striking are caused by moisture and condensation, and arc explosion accidents can be caused by interphase short circuit, so that power supply interruption is caused, and great economic loss is brought; 2. dew formed on some electrical equipment can corrode metal parts of the control equipment, affect the service life of the control equipment and cause failure of a monitoring control protection circuit. Therefore, it is necessary to develop a device capable of preventing dew and moisture in the terminal box.
The solutions for terminal box moisture and condensation at home and abroad are generally as follows: (1) the condensation phenomenon is solved by heating the interior of the equipment by using an electric heater, but the condensation cannot be eliminated fundamentally because the method only increases the unsaturated degree of water vapor in the air and does not discharge the water vapor in the cabinet. (2) With the damp-repellent, hang silica gel bag or other absorbent material in the cabinet, however because its effect of absorbing water is limited and the moisture of absorption is difficult for discharging, so the effect often is not obvious, and then maintenance work volume increases. (3) The intelligent dehumidifying device is an advanced dehumidifying method at present. However, the content of water vapor in the air in the cabinet is reduced only by adopting a simple temperature and humidity sensor and a fan dehumidifier, and the moisture content is limited by the detection range of the temperature and humidity sensor, so that the working state of the complex and variable environment cannot be adaptively changed, the problem of failure occurs, the insulation capacity is further reduced, and the potential safety operation hazard of equipment is easily caused. For this reason, it is necessary to design a new solution to solve the problem of moisture and condensation in the terminal box.
Disclosure of Invention
The invention aims to provide a self-adaptive intelligent dehumidification temperature control device, which is not only beneficial to carrying out dehumidification temperature control on a terminal box, but also low in working energy consumption.
In order to achieve the purpose, the invention adopts the technical scheme that: a self-adaptive intelligent dehumidification temperature control device comprises a shell, and an air inlet fan, a temperature and humidity detection device, a semiconductor condensation device, a heating device, an air outlet fan and a control unit which are arranged in the shell, wherein the shell is arranged in a terminal box at a position far away from electrified equipment; the control unit is respectively electrically connected with the air inlet fan, the temperature and humidity detection device, the evaporation and condensation device, the heating device and the air outlet fan;
the control unit controls the air inlet fan and the air outlet fan to automatically switch rotating speeds so as to realize temperature and humidity monitoring of a far area and a near area in the terminal box; the control unit automatically controls the power consumption of the semiconductor condensing device and the heating device to be adaptive to the air flow rate so as to reduce the power consumption of the semiconductor condensing device and the heating device.
Furthermore, a dustproof filter screen is arranged on the air inlet.
Further, the temperature and humidity detection device comprises a detection air chamber and a temperature and humidity sensor arranged in the detection air chamber, the temperature and humidity sensor is electrically connected with the control unit, and the detection air chamber is located on the air flow channel to lead air entering the shell into the detection air chamber.
Further, the control unit controls the air inlet fan and the air outlet fan to automatically switch the rotating speed respectively based on a machine learning method, and the specific method comprises the following steps:
setting the rotation speed range of the fan to be 0-N, the volume of the terminal box to be V, and the temperature in the terminal box to be T1The temperature outside the terminal box is T2The actual humidity in the terminal box is Q when Q is>When 60%, the dehumidification temperature control device works; let the minimum rotation speed of the fan be N0Satisfy 0<N0<N, the collected humidity data is Q0If Q is0When Q, it is called the rotation speed N0The optimal rotating speed of the fan is obtained; establishing N with a particle swarm-support vector machine0The mathematical model of (a) is:
since the power consumption of the fan is proportional to its rotational speed, N0The smaller the energy consumption is; thus, the optimization objective of equation (1) is expressed as:
solving the formula (2) by utilizing a particle swarm algorithm, so that the optimal rotating speed of the fan can be obtained;
the control unit obtains the volume of the terminal box and the temperature inside and outside the terminal box based on the model, so that the optimal rotating speed can be automatically determined, and the self-adaptive control of the rotating speed of the fan is realized.
Further, the semiconductor condensing device comprises a semiconductor condenser and a pipeline system, the semiconductor condenser comprises a cold end and a hot end, the pipeline system comprises a condensing air pipe, one end of the condensing air pipe is communicated with the air flow channel so as to guide the air entering the shell into the condensing air pipe, the condensing air pipe is in contact with the cold end of the semiconductor condenser for heat exchange, a drain pipe is connected to the condensing air pipe, the other end of the condensing air pipe is connected with a gas regulator, an outlet of the gas regulator is divided into two paths, one path of the condensing air pipe enters the heating device after exchanging heat with the hot end of the semiconductor condenser, and the other path of the condensing air pipe directly enters the heating device so as to select whether the air passes through the hot end of the semiconductor condenser or not through the gas regulator; the control unit is respectively electrically connected with the semiconductor condenser and the heating device; the wet air is changed into dry air through the cold end of the semiconductor condenser, and the dry air is controlled to be blown into the hot end of the semiconductor condenser through the gas regulator under the condition that the dry air needs to be heated, so that the heat generated by the hot end of the semiconductor condenser is absorbed, and meanwhile, the energy consumption of the heating device is reduced.
Further, the control unit automatically controls the power consumption of the semiconductor condensing device to be adaptive to the air flow rate based on machine learning, and the specific method comprises the following steps:
setting the gas flow rate entering the semiconductor condensing device as I and the gas humidity as Q0Power consumption at cold end of semiconductor condenser is P, when Q0100%, cooling and dewing with moist air; establishing P and I, Q0The relationship of (a) to (b) is as follows:
with the aim of minimizing P as an optimization, namely:
the control unit obtains the gas flow and the gas humidity, and the model based on the formulas (3) and (4) is realized through a machine learning method, so that the semiconductor condensing device can be automatically controlled to consume the lowest power consumption to cool and condense the humid air.
Compared with the prior art, the invention has the following beneficial effects: the utility model provides a self-adaptation intelligence dehumidification temperature regulating device, the device can more effectively solve condensation and the humidity problem in the terminal case, and structurally, structural design according to aerodynamics and the mode of fan system cooperation temperature and humidity sensor can realize the humiture monitoring in different terminal case models in different regions, also applicable to the structure in other airtight spaces, and more excellent semiconductor condensing equipment and structure are adopted and can effectively reduce equipment volume, energy consumption, strengthen its application scope. In addition, this device is based on machine learning, makes device can independently control fan system and condensing system, has very big effect to the optimization of detection range and the promotion of power consumption ratio, and the device is applicable to the electric power system auxiliary assembly field, not only is applicable to the terminal box and still can be used to the cubical switchboard, has certain commonality.
Drawings
Fig. 1 is a schematic structural diagram of an apparatus according to an embodiment of the present invention.
Fig. 2 is a schematic view of the internal circulation of air in the embodiment of the present invention.
Detailed Description
The invention is further explained below with reference to the drawings and the embodiments.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
As shown in fig. 1, the embodiment provides a self-adaptive intelligent dehumidification temperature control device, which includes a housing 1, and an air inlet fan 2, a temperature and humidity detection device 3, a semiconductor condensation device 4, a heating device 5, an air outlet fan 6 and a control unit 7 which are arranged in the housing 1, wherein the housing 1 is arranged in a terminal box at a position far away from an electrified device, the upper portion of the housing is provided with an air inlet 8, the lower portion of the side of the housing is provided with an air outlet 9, and an air flow channel from the air inlet to the air outlet in the housing is sequentially provided with the air inlet fan 2, the temperature and humidity detection device 3, the semiconductor condensation device 4, the heating device 5 and the air outlet fan 6, so that gas dynamics and forced fan flow are combined to realize wide-range temperature and humidity monitoring and dehumidification temperature control; the control unit 7 is electrically connected with the air inlet fan 2, the temperature and humidity detection device 3, the semiconductor condensation device 4, the heating device 5 and the air outlet fan 6 respectively. In this embodiment, the air inlet 8 is provided with a dustproof filter screen 10.
The control unit 7 controls the air inlet fan 2 and the air outlet fan 6 to automatically switch rotating speeds, so that temperature and humidity monitoring of a far area and a near area in the terminal box is achieved, and blind areas can be effectively avoided. The control unit automatically controls the power consumption of the semiconductor condensing device 4 and the heating device 5 to be adaptive to the air flow rate so as to reduce the power consumption of the semiconductor condensing device and the heating device.
The structural design of the device structure for air internal circulation is carried out according to the aerodynamic theory (hot air flows upwards, and cold air flows downwards), so that more optimal air change can be realized, and moisture dead zones in the switch cabinet can be effectively reduced. In addition, as shown in fig. 2, the fan is adopted to expand the monitoring range, so that the problem that the existing temperature and humidity sensor can only monitor the temperature and humidity change condition in a small range is effectively solved, the dehumidification temperature control device can make faster and better feedback on the temperature and humidity condition in the terminal box, and wide-range temperature and humidity monitoring is realized.
In this embodiment, the temperature and humidity detecting device 3 includes a detecting air chamber 301 and a temperature and humidity sensor 302 disposed in the detecting air chamber, the temperature and humidity sensor is electrically connected to the control unit, and the detecting air chamber is located on the air flow passage to introduce air into the detecting air chamber.
The timed start of the inlet and outlet fans may be set according to local temperature characteristics, i.e., local night time and sunrise time. The control unit respectively controls the air inlet fan and the air outlet fan to automatically switch the rotating speed based on a machine learning method, and the specific method comprises the following steps:
setting the rotation speed range of the fan to be 0-N, the volume of the terminal box to be V, and the temperature in the terminal box to be T1The temperature outside the terminal box is T2The actual humidity in the terminal box is Q when Q is>When 60%, the dehumidification temperature control device works; when the rotating speed of the fan is N, the humidity condition in the terminal box can be acquired, but the energy consumption is large; let the minimum rotation speed of the fan be N0Satisfy 0<N0<N, the collected humidity data is Q0If Q is0When Q, it is called the rotation speed N0The optimal rotating speed of the fan is obtained; establishing N by utilizing a particle swarm-support vector machine based on the existing test data0The mathematical model of (a) is:
since the power consumption of the fan is proportional to its rotational speed, N0The smaller the energy consumption is; thus, the optimization objective of equation (1) is expressed as:
and (3) solving the formula (2) by utilizing a particle swarm algorithm to obtain the optimal rotating speed of the fan.
The control unit obtains the volume of the terminal box and the temperature inside and outside the terminal box based on the model, so that the optimal rotating speed can be automatically determined, the self-adaptive control of the rotating speed of the fan is realized, and the purpose of reducing energy consumption is achieved.
In this embodiment, the semiconductor condensing device 4 includes a semiconductor condenser 401 and a pipeline system, the semiconductor condenser includes a cold end and a hot end, the pipeline system includes a condensing air pipe 402, one end of the condensing air pipe is communicated with the air flow channel to guide the air entering the housing into the condensing air pipe, the condensing air pipe is in contact with the cold end of the semiconductor condenser for heat exchange, the condensing air pipe is connected with a drain pipe 403, the other end of the condensing air pipe is connected with a gas regulator 404, an outlet of the gas regulator is divided into two paths, one path of the condensing air pipe exchanges heat with the hot end of the semiconductor condenser and then enters the heating device, and the other path of the condensing air pipe directly enters the heating device to select whether the air passes through the hot end of the semiconductor condenser through the gas regulator; the control unit is respectively electrically connected with the semiconductor condenser and the heating device; moist air becomes dry air through the cold junction of semiconductor condenser, and dry air is in the condition that needs the heating, and dry air is blown in the hot junction of semiconductor condenser through gas regulator control to absorb the fever of semiconductor condenser hot junction, solve the problem that generates heat of semiconductor condenser, and further obtain dry hot-air, reduce heating device's energy consumption simultaneously. In addition, because the thermal inertia of the semiconductor refrigerating sheet is very small, the refrigerating or heating time is very fast, and the refrigerating sheet can reach the maximum temperature difference when the power is on for less than 1 minute under the condition that the heat dissipation of the hot end is good and the cold end is idle. Therefore, when the temperature is lower than 10 ℃ and even lower than 0 ℃, the dehumidification capacity of the conventional compressor in a low-temperature state can be maintained by utilizing the rapidity of semiconductor response and rapidly and circularly switching between refrigeration and heating, so that the defect that the conventional compressor cannot dehumidify at a low temperature is overcome.
In the structure of dehumidification and temperature control, after humid air is sucked by a fan through a dust removal net, the temperature and humidity of the humid air are sequentially monitored through a detection air chamber, and the temperature and the moisture are reduced and condensed by an evaporator (a cold end of a semiconductor condenser). The evaporator cooling system also has the function of self-adaptive control.
The control unit automatically controls the power consumption of the semiconductor condensing device to be adaptive to the air flow rate based on machine learning, and the specific method comprises the following steps:
setting the gas flow rate entering the semiconductor condensing device as I and the gas humidity as Q0Power consumption at cold end of semiconductor condenser is P, when Q0100%, cooling and dewing with moist air; establishing P and I, Q0The relationship of (a) to (b) is as follows:
with the aim of minimizing P as an optimization, namely:
the control unit obtains the gas flow and the gas humidity, and the model based on the formulas (3) and (4) is realized through a machine learning method, so that the semiconductor condensing device can be automatically controlled to consume the lowest power consumption to cool and condense the humid air.
The foregoing is directed to preferred embodiments of the present invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof, and the scope thereof is determined by the claims that follow. However, any simple modification, equivalent change and modification of the above embodiments according to the technical essence of the present invention are within the protection scope of the technical solution of the present invention.
Claims (6)
1. A self-adaptive intelligent dehumidification temperature control device is characterized by comprising a shell, an air inlet fan, a temperature and humidity detection device, a semiconductor condensation device, a heating device, an air outlet fan and a control unit, wherein the air inlet fan, the temperature and humidity detection device, the semiconductor condensation device, the air outlet fan and the control unit are arranged in the shell; the control unit is respectively electrically connected with the air inlet fan, the temperature and humidity detection device, the evaporation and condensation device, the heating device and the air outlet fan;
the control unit controls the air inlet fan and the air outlet fan to automatically switch rotating speeds so as to realize temperature and humidity monitoring of a far area and a near area in the terminal box; the control unit automatically controls the power consumption of the semiconductor condensing device and the heating device to be adaptive to the air flow rate so as to reduce the power consumption of the semiconductor condensing device and the heating device.
2. The adaptive intelligent dehumidification temperature control device of claim 1, wherein a dustproof filter screen is arranged on the air inlet.
3. The device of claim 1, wherein the temperature and humidity sensor is electrically connected to the control unit, and the air channel is located on the air channel to guide air entering the housing into the detection air chamber.
4. The adaptive intelligent dehumidification temperature control device according to claim 1, wherein the control unit controls the air inlet fan and the air outlet fan to automatically switch the rotation speed respectively based on a machine learning method, and the specific method is as follows:
setting the rotation speed range of the fan to be 0-N, the volume of the terminal box to be V, and the temperature in the terminal box to be T1The temperature outside the terminal box is T2The actual humidity in the terminal box is Q when Q is>When 60%, the dehumidification temperature control device works;let the minimum rotation speed of the fan be N0Satisfy 0<N0<N, the collected humidity data is Q0If Q is0When Q, it is called the rotation speed N0The optimal rotating speed of the fan is obtained; establishing N with a particle swarm-support vector machine0The mathematical model of (a) is:
since the power consumption of the fan is proportional to its rotational speed, N0The smaller the energy consumption is; thus, the optimization objective of equation (1) is expressed as:
solving the formula (2) by utilizing a particle swarm algorithm, so that the optimal rotating speed of the fan can be obtained;
the control unit obtains the volume of the terminal box and the temperature inside and outside the terminal box based on the model, so that the optimal rotating speed can be automatically determined, and the self-adaptive control of the rotating speed of the fan is realized.
5. The device of claim 1, wherein the semiconductor condenser comprises a semiconductor condenser and a pipeline system, the semiconductor condenser comprises a cold end and a hot end, the pipeline system comprises a condensation air pipe, one end of the condensation air pipe is communicated with the air flow channel to guide air entering the shell into the condensation air pipe, the condensation air pipe is in contact with the cold end of the semiconductor condenser for heat exchange, a drain pipe is connected to the condensation air pipe, the other end of the condensation air pipe is connected with a gas regulator, an outlet of the gas regulator is divided into two paths, one path of the gas regulator enters the heating device after exchanging heat with the hot end of the semiconductor condenser, and the other path of the gas regulator directly enters the heating device to select whether the air passes through the hot end of the semiconductor condenser; the control unit is respectively electrically connected with the semiconductor condenser and the heating device; the wet air is changed into dry air through the cold end of the semiconductor condenser, and the dry air is controlled to be blown into the hot end of the semiconductor condenser through the gas regulator under the condition that the dry air needs to be heated, so that the heat generated by the hot end of the semiconductor condenser is absorbed, and meanwhile, the energy consumption of the heating device is reduced.
6. The device of claim 1, wherein the control unit automatically controls the power consumption of the semiconductor condensing device to be adapted to the air flow rate based on machine learning, and the method comprises:
setting the gas flow rate entering the semiconductor condensing device as I and the gas humidity as Q0Power consumption at cold end of semiconductor condenser is P, when Q0100%, cooling and dewing with moist air; establishing P and I, Q0The relationship of (a) to (b) is as follows:
with the aim of minimizing P as an optimization, namely:
the control unit obtains the gas flow and the gas humidity, and the model based on the formulas (3) and (4) is realized through a machine learning method, so that the semiconductor condensing device can be automatically controlled to consume the lowest power consumption to cool and condense the humid air.
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| CN115121094A (en) * | 2022-06-28 | 2022-09-30 | 北京京仪大气环保科技有限公司 | Intelligent gas dehumidifier |
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