CN106547287A - A kind of new forms of energy drying room temperature investigating method and its system based on Internet of Things - Google Patents
A kind of new forms of energy drying room temperature investigating method and its system based on Internet of Things Download PDFInfo
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- CN106547287A CN106547287A CN201510670704.4A CN201510670704A CN106547287A CN 106547287 A CN106547287 A CN 106547287A CN 201510670704 A CN201510670704 A CN 201510670704A CN 106547287 A CN106547287 A CN 106547287A
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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
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/40—Solar thermal energy, e.g. solar towers
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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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
- Y02P80/20—Climate change mitigation technologies for sector-wide applications using renewable energy
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Abstract
The present invention relates to a kind of new forms of energy drying room temperature investigating method based on Internet of Things, new forms of energy are relied on to coordinate energy storage heating system, fuzzy control PID is dissolved in single Agent controllers, then Multi-Agent technologies are dissolved in control system, according to the actual task demand of factory's drying room system, drying room system is divided into into the Multi-Agent control systems of little coordinating communication each other and the Web networks that can connect；The present invention also provides a kind of system of application the method.Advantages of the present invention is embodied in：Not only effectively reduce energy resource consumption and CO2 emission, and solve the coordination problem in drying room control system between subsystems, the drying room system after improvement has that adjustment time is short, energy consumption is low, intelligent and high reliability.
Description
Technical field
The present invention relates to new forms of energy drying room and its temperature detection-control technology field, and in particular to Yi Zhongji
In the new forms of energy drying room temperature investigating method and its system of Internet of Things.
Background technology
With rapid advances and the construction of IT application in enterprises of control technology, by Modern Web technology
The mode blended with conventional procedure control technology, has become current tele-control system exploitation
With the focus of research, then, structure becomes control field based on the Controlling model of Web technologies
One of important directions of development.
In conventional procedure control field for computational, gradually substituted using computer
The calculating task of control system, but for its control strategy, it is prevailing at present still
It is traditional pid algorithm, so makes full use of the strong point of computer, according to this lifts work
The integral level of process control.There is PID control simple structure, pid parameter and control process to close
The features such as being clear and definite, therefore PID control strategy is widely used in Industry Control.Prior art
In drying room system although take pid parameter self-adjusting system, but if be related to complexity
Nonlinear control system, traditional PID control are difficult to set up an accurate mathematical model, and
Response time is long, and the starting stage swings larger, and accuracy rate is low, it is impossible to reach preferable effect.
The content of the invention
The purpose of the present invention is for traditional PID control low precision of the prior art, accuracy rate
A kind of low, deficiency that the temperature control amplitude of oscillation is excessive, there is provided new forms of energy collection heat control method.
Another object of the present invention is to provide a kind of new forms of energy drying room measurement and control of temperature based on Internet of Things
System.
For achieving the above object, the invention discloses following technical scheme：
A kind of new forms of energy drying room temperature investigating method based on Internet of Things, relies on new forms of energy to coordinate storage
Energy heating system, fuzzy control PID is dissolved in single Agent controllers, then will
Multi-Agent technologies are dissolved in control system, according to the actual task of factory's drying room system
Drying room system is divided into little coordinating communication each other and the Web networks that can connect by demand
Multi-Agent control systems：
(1) PID control and fuzzy control are combined into into Fuzzy-PID controllers
Fuzzy-PID controllers include the PID controller for being employed fuzzy inference system, obscure
Pid parameter is carried out self regulation according to On-line Fuzzy logic rule by inference system, is employed mould
The PID controller of paste inference system outputs control signals to controlled device, and control target is change
Frequency device, using the output of PID controller as input voltage, its output will control wind to converter
Machine rotating speed, to make drying room maintain fixed temperature；
(2) the Multi-Agent coordinating communications of distributed and multi-fieldbus Control System are accessed
Multi-Agent includes main controlled node and some control nodes, and main controlled node carries out core
Decision-making, arranges the pid parameter in the first control node, the first control node detection drying room first
Interior temperature and heat collector temperature, by each parameter of Fuzzy Calculation PID, when the first control node is examined
Measure temperature in drying room, heat collector temperature it is all relatively low when, which will notify the second control node, enter
Row air can be heated；When detecting, heat collector temperature is higher, and temperature is relatively stable in drying room
When, notify that the 3rd control node carries out energy storage control, to maintain drying room temperature.
Further, the concrete mode of the fuzzy inference system is as follows：
PID controller output signal is
In formula, KpFor proportionality coefficient, TiBecome integration time constant, τ is derivative time constant,
Three above parameter is all adjustable parameter；
The input of Fuzzy-PID controllers is error e (t), and its rate of change isIt is output as
Kp, Ki, KdVariable quantity, these three pid parameters according to On-line Fuzzy logic rule self
Adjust, and pid parameter is adjusted to：
In formula, Kp, KiAnd KdRefer to the parameter value after PID changes, Kp0, Ki0And Kd0For ginseng
Number initial value.
Further, communicated using RS485 between the control node and main controlled node, each
Message based KQML communication protocols are adopted between control node.
Further, the RS485 interfaces adopt Shielded Twisted Pair and the double biographies of WiFi radio communications
Defeated pattern.
To realize above-mentioned second purpose, the invention discloses following technical scheme：
A kind of new forms of energy drying room temperature control system based on Internet of Things, including the first controller,
Second controller, the 3rd controller, solar thermal collector, attemperater, air energy heater,
Drying room, high-pressure fan, low pressure fan and negative-pressure air fan,
Divide on the pipeline that solar thermal collector is connected with attemperater, air energy heater, drying room
First valve node, the second valve node, the 3rd valve node and the 4th valve node are not provided with,
Pipeline between drying room and negative-pressure air fan is provided with the 5th valve node, solar thermal collector and baking
Pipeline between room is provided with the 6th valve node and the 7th valve node, wherein the 6th valve section
High pressure positive blower and fan with low voltage are respectively equipped with point and the 7th valve node；
Solar thermal collector is provided with the first temperature sensor, solar thermal collector and the first valve
The pipeline that node is connected is provided with second temperature sensor, and attemperater is provided with the 3rd temperature biography
Sensor, drying room are provided with the 4th temperature sensor, the pipeline that the 7th valve node is connected with drying room
It is provided with the 5th temperature sensor；
First controller connects the first temperature sensor, high pressure positive blower, fan with low voltage, the 6th valve
Door node, the 7th valve node and second temperature sensor；
Second controller connect the first valve node, the second valve node, the 3rd valve node,
Three-temperature sensor and negative-pressure air fan；
3rd controller connect the 5th temperature sensor, the 4th valve node, air energy heater,
4th temperature sensor and the 5th valve node；
Said system by the temperature in real-time monitoring solar thermal collector and drying room, arrange first,
The control coefrficient of second, third controller makes the temperature stabilization of drying room within limits, the
One controller utilizes the wind speed of Frequency Converter Control high pressure positive blower and fan with low voltage；When the first controller
When monitoring that heat collector interior temperature spends high, inform that second controller passes through Frequency Converter Control negative pressure wind
Machine, carries out convulsion energy storage；When the first monitoring control devices, in heat collector, temperature is arranged less than drying room
During temperature, inform the 3rd controller by temperature in air energy heater intensification drying room；First control
Device processed, second controller, the 3rd controller communicate with one another, and data are transmitted by Internet of Things
Into staff's handheld terminal.
A kind of new forms of energy drying room temperature investigating method based on Internet of Things disclosed by the invention and its it is
System, compared with prior art, not only effectively reduces energy resource consumption and CO2 emission, and
And solve the coordination problem in drying room control system between subsystems.By Simulink
Drying room system after emulation shows to improve has that adjustment time is short, energy consumption is low, intelligent and reliable
The advantages of property is high.
Description of the drawings
Fig. 1 is solar energy drying room heat supply structural representation,
Fig. 2 is traditional PID control analogous diagram,
Fig. 3 is Fuzzy-PID controller architecture schematic diagrams,
Fig. 4 is traditional PI D and fuzzy-adaptation PID control comparison diagram,
Fig. 5 is Multi-Agent system schematic diagrams,
Fig. 6 is Multi-Agent working-flow figures,
Fig. 7 is whole day Fuzzy-PID control analogous diagram,
Fig. 8 is whole day Multi-Agent coordinating communication control analogous diagram,
Wherein：
1- the first controller 2- second controllers
The 3rd controller 4- solar thermal collectors of 3-
5- attemperater 6- air energy heaters
7- drying room 8- high pressure positive blowers
9- fan with low voltage 10- negative-pressure air fans
V1- the first valve node V2- the second valve nodes
The 4th valve nodes of the 3rd valve node V4- of V3-
The 6th valve nodes of the 5th valve node V6- of V5-
The 7th valve node the first temperature sensors of T1- of V7-
T2- second temperature sensor T3- three-temperature sensors
The 5th temperature sensors of the 4th temperature sensor T5- of T4-
Specific embodiment
With reference to embodiment and referring to the drawings the invention will be further described.
A kind of new forms of energy drying room temperature investigating method based on Internet of Things, relies on new forms of energy to coordinate storage
Energy heating system, fuzzy control PID is dissolved in single Agent controllers, then will
Multi-Agent technologies are dissolved in control system, according to the actual task of factory's drying room system
Drying room system is divided into little coordinating communication each other and the Web nets that can connect by demand
The Multi-Agent control systems of network：
(1) PID control and fuzzy control are combined into into Fuzzy-PID controllers
Fuzzy-PID controllers include the PID controller for being employed fuzzy inference system, obscure
Pid parameter is carried out self regulation according to On-line Fuzzy logic rule by inference system, is employed mould
The PID controller of paste inference system outputs control signals to controlled device, and controlled device is frequency conversion
Device, using the output of PID controller as input voltage, its output will control blower fan to converter
Rotating speed, to make drying room maintain fixed temperature；
(the Multi-Agent coordinating communications of distributed and multi-fieldbus Control System are accessed by 2
Multi-Agent includes main controlled node and some control nodes, and main controlled node carries out core and determines
Plan, arranges the pid parameter in the first control node, in the first control node detection drying room first
Temperature and heat collector temperature, by each parameter of Fuzzy Calculation PID, when the first control node is detected
When in drying room, temperature, heat collector temperature are all relatively low, which will notify the second control node, carry out
Air can be heated；When detecting, heat collector temperature is higher, and when in drying room, temperature is relatively stable,
Notify that the 3rd control node carries out energy storage control, to maintain drying room temperature.
In the present invention, the concrete mode of fuzzy inference system is as follows：
PID control refer to possess ratio, accretion point, plus derivation control action become ratio
Integral differential control system, PID controller output signal is
In formula, KpFor proportionality coefficient, TiBecome integration time constant, τ is derivative time constant,
Three above parameter is all adjustable parameter；
Because PID control has simple structure, the pid parameter and control process relation spy such as clearly
Point, then PID control strategy be widely used in Industry Control.If being related to the non-thread of complexity
Property control system, traditional PID control are difficult to set up an accurate mathematical model, and can not
Reach preferable effect.Set up based on traditional PID control phantom, if drying room control system
Transmission function be：
Drying room temperature is set to 80 DEG C, and assumes random disturbances of the control system by amplitude ± 5.PID
Parameter tuning adopt Ziegler-Nichols Tunings, critical proportional band law, attenuation curve method
Three kinds of method contrast simulations are as shown in Figure 2.
Find from Fig. 2, after a period of time, three kinds of pid parameter setting methods can make control
Tend to be steady, but the starting stage swings larger, even if attenuation curve method amplitude of fluctuation is relatively small,
But ideal effect can not be reached.
In some controllers, fuzzy control is considered as one of effective solution.Fuzzy Control
System does not need strict mathematical model, and when nonlinear system is processed, has good control
Effect.But, in place of also having some shortcomings, such as the steady-state error of fuzzy control and dynamic are unstable
It is fixed.Then, in some industrial control fields, PID control and fuzzy control are combined into
Fuzzy-PID controllers.Fuzzy-PID controllers not only inherit the advantage of each of which,
And the control strategy that compensate for their shortcoming to be optimal.Fuzzy-PID controllers are tied
Structure is as shown in Figure 3.
In Fig. 3, r (t) is drying room desired temperature, and y (t) is actual temperature output.
The input of Fuzzy-PID controllers is error e (t), and its rate of change isIt is output as Kp,
Ki, KdVariable quantity, these three pid parameters according to On-line Fuzzy logic rule self regulation,
And pid parameter is adjusted to：
In formula, Kp, KiAnd KdRefer to the parameter value after PID changes, Kp0, Ki0And Kd0For ginseng
Number initial value.Control target is converter, and converter is using the output of PID controller as defeated
Enter voltage, its output will control rotation speed of fan, to make drying room maintain fixed temperature.
The same temperature that arranges is 80 DEG C, and ssystem transfer function such as traditional PI D simulation is identical.It is based on
Fuzzy-PID controls as shown in Figure 4 with traditional PI D damped method control contrast simulation.
As shown in Figure 4, traditional PID control, self-adjusting parameters fuzzy-adaptation PID control utensil are contrasted
There is the feature of less overshoot, response time is shorter, this demonstrate that Fuzzy-PID control ratios are passed
System PID control performance more preferably, and the track of parameter also faster, more accuracy.
Refer to Fig. 5.In figure, main controlled node is the decision-making core of system, but wherein each control
Node (Agent) also has the ability made decisions on one's own, each control node (Agent) and group
Into respective control node.Each control node (Agent) can not only communicate with one another, and may be used also
To receive the order from internet of things application layer time.Control node and main controlled node are adopting
Based on RS485 communications, because RS485 interfaces have good noise immunity, long biography
The advantages of defeated distance and multistation ability, then become the first-selection of serial communication in industry, RS485
The half-duplex network of interface composition typically only needs two lines, so RS485 interfaces are adopted
Shielded Twisted Pair is transmitted, it is also contemplated that signal all standing and some places are difficult the factors such as wiring,
WiFi wireless communications modes, i.e. RS485 interfaces are devised using Shielded Twisted Pair and WiFi
Radio communication double-transmission mode.It is main using a kind of message based between each control node
KQML communication protocols, while be also that a kind of independent information is exchanged and protocol language in itself,
KQML communication protocols can reach the standard of Agent communications for coordination.
Fig. 6 is Multi-Agent working-flow figures, the first control node of main description and its
Workflow between his control node.It is complex in system when controlling with Fuzzy-PID
When in drying room system, due to needing to set up multiple measuring and controlling nodes, if independent work between them,
And in the whole day continuous firing, it is found that its effect is unsatisfactory.For controller 1, use
It is as shown in Figure 7 that Fuzzy-PID models set up whole day emulation.
By the access of Multi-Agent coordinating communications, when the first control node Agent1 is detected
When in drying room, temperature, heat collector temperature are all relatively low, which will notify the second control node Agent2,
Carry out city's electricity air energy heating；When detecting, heat collector temperature is higher, and in drying room temperature compared with
During to stablize, notify that the 3rd control node Agent3 carries out energy storage control.Whole day is set up again
Emulation is as shown in Figure 8.
From Fig. 7,8 it is seen that, when in heat collector temperature be less than 80 DEG C when, using Fuzzy-PID
Control system mode, the temperature in drying room can not maintain 80 DEG C well.And be based on
The Fuzzy PID Control System of Multi-Agent coordinating communications not only can when working long hours
Make drying room steadily in the long term in 80 DEG C of temperature of setting, and energy storage device energy saving can be passed through,
Purpose of design has been reached, actual demand has been met.
Refer to Fig. 1.Present invention also offers a kind of new forms of energy baking room temperature of application said method
Degree TT＆C system, including the first controller 1, second controller 2, the 3rd controller 3, too
It is positive can heat collector 4, attemperater 5, air energy heater 6, drying room 7, high-pressure fan 8,
Low pressure fan 9 and negative-pressure air fan 10,
The pipe that solar thermal collector 4 is connected with attemperater 5, air energy heater 6, drying room 7
The first valve node V1, the second valve node V2, the 3rd valve node V3 are respectively equipped with road
With the 4th valve node V4,
Pipeline between drying room 7 and negative-pressure air fan 10 is provided with the 5th valve node V5, solar energy collection
Pipeline between hot device 4 and drying room 7 is provided with the 6th valve node V6 and the 7th valve node
V7, wherein being respectively equipped with high pressure positive blower 8 at the 6th valve node V6 and the 7th valve node V7
With fan with low voltage 9；
Solar thermal collector 4 is provided with the first temperature sensor T1, solar thermal collector 4 and
The pipeline that one valve node V1 is connected is provided with second temperature sensor T2, on attemperater 5
Three-temperature sensor T3 is provided with, drying room 7 is provided with the 4th temperature sensor T4, the 7th valve
The pipeline that door node V7 is connected with drying room 7 is provided with the 5th temperature sensor T5；
First controller 1 connect the first temperature sensor T1, high pressure positive blower 8, fan with low voltage 9,
6th valve node V6, the 7th valve node V7 and second temperature sensor T2；
Second controller 2 connects the first valve node V1, the second valve node V2, the 3rd valve
Node V3, three-temperature sensor T3 and negative-pressure air fan 10；
3rd controller 3 connects the 5th temperature sensor T5, the 4th valve node V4, air energy
Heater 6, the 4th temperature sensor T4 and the 5th valve node V5；
Said system is arranged by the temperature in real-time monitoring solar thermal collector 4 and drying room 7
The control coefrficient of first, second, third controller makes the temperature stabilization of drying room 7 in certain limit
Within, the first controller 1 utilizes the wind speed of Frequency Converter Control high pressure positive blower 8 and fan with low voltage 9；
When the first controller 1 monitors that 4 interior temperature of solar thermal collector spends high, the second control is informed
Device 2 carries out convulsion energy storage by Frequency Converter Control negative-pressure air fan 10；When the first controller 1
When monitoring that temperature arranges temperature less than drying room 7 in solar thermal collector 4, the 3rd control is informed
Device 3 is by temperature in 6 intensification drying room 7 of air energy heater；First controller 1, second is controlled
Device processed 2, the 3rd controller 3 communicate with one another, and data are transferred to work people by Internet of Things
In member's handheld terminal.
Drying room control system is a complicated physical process, and wherein control system has big time delay,
And the coupled relation for be input into, exporting is sufficiently complex.Traditional PID control simple structure, meets
Industrial requirement, to nonlinear system but helpless.Fuzzy-PID control energy effectively solvings are non-
Linear problem, but in being used in many control systems of drying room, effect is unsatisfactory.The present invention proposes one
Plant based on Multi-Agent coordinating communication Fuzzy-PID control systems, and on this basis,
Remote terminal platform is constructed, and is repeatedly tried using emulation tool and actual industrial operation
Test, demonstrate the feasibility of put forward model.
The above is only the preferred embodiment of the present invention, it is noted that for this area
Those of ordinary skill, under the premise of not departing from the present invention, if the present invention can also be made
Dry to improve and supplement, these improve and supplement, and also should be regarded as protection scope of the present invention.
Claims (5)
1. a kind of new forms of energy drying room temperature investigating method based on Internet of Things, it is characterised in that according to
Support new forms of energy coordinate energy storage heating system, and fuzzy control PID is dissolved into single Agent controllers
In, then Multi-Agent technologies are dissolved in control system, according to factory's drying room system
Actual task demand, drying room system is divided into into little coordinating communication each other and can be connected
Web networks Multi-Agent control systems：
(1) PID control and fuzzy control are combined into into Fuzzy-PID controllers
Fuzzy-PID controllers include the PID controller for being employed fuzzy inference system, obscure
Pid parameter is carried out self regulation according to On-line Fuzzy logic rule by inference system, is employed mould
The PID controller of paste inference system outputs control signals to controlled device, and control target is change
Frequency device, using the output of PID controller as input voltage, its output will control wind to converter
Machine rotating speed, to make drying room maintain fixed temperature；
(2) the Multi-Agent coordinating communications of distributed and multi-fieldbus Control System are accessed
Multi-Agent includes main controlled node and some control nodes, and main controlled node carries out core
Decision-making, arranges the pid parameter in the first control node, the first control node detection drying room first
Interior temperature and heat collector temperature, by each parameter of Fuzzy Calculation PID, when the first control node is examined
Measure temperature in drying room, heat collector temperature it is all relatively low when, which will notify the second control node, enter
Row air can be heated；When detecting, heat collector temperature is higher, and temperature is relatively stable in drying room
When, notify that the 3rd control node carries out energy storage control, to maintain drying room temperature.
2. a kind of new forms of energy drying room measurement and control of temperature based on Internet of Things according to claim 1
Method, it is characterised in that the concrete mode of the fuzzy inference system is as follows：
PID controller output signal is
In formula, KpFor proportionality coefficient, TiBecome integration time constant, τ is derivative time constant,
Three above parameter is all adjustable parameter；
The input of Fuzzy-PID controllers is error e (t), and its rate of change isIt is output as
Kp, Ki, KdVariable quantity, these three pid parameters according to On-line Fuzzy logic rule self
Adjust, and pid parameter is adjusted to：
In formula, Kp, KiAnd KdRefer to the parameter value after PID changes, Kp0, Ki0And Kd0For ginseng
Number initial value.
3. a kind of new forms of energy drying room measurement and control of temperature based on Internet of Things according to claim 1
Method, it is characterised in that communicated using RS485 between the control node and main controlled node,
Message based KQML communication protocols are adopted between each control node.
4. a kind of new forms of energy drying room measurement and control of temperature based on Internet of Things according to claim 3
Method, it is characterised in that the RS485 interfaces adopt Shielded Twisted Pair and WiFi channel radios
Letter double-transmission mode.
5. a kind of new forms of energy drying room temperature control system of the method for application claim 1, which is special
Levy and be, including the first controller, second controller, the 3rd controller, solar thermal collector,
Attemperater, air energy heater, drying room, high-pressure fan, low pressure fan and negative-pressure air fan,
Divide on the pipeline that solar thermal collector is connected with attemperater, air energy heater, drying room
First valve node, the second valve node, the 3rd valve node and the 4th valve node are not provided with,
Pipeline between drying room and negative-pressure air fan is provided with the 5th valve node, solar thermal collector and baking
Pipeline between room is provided with the 6th valve node and the 7th valve node, wherein the 6th valve section
High pressure positive blower and fan with low voltage are respectively equipped with point and the 7th valve node；
Solar thermal collector is provided with the first temperature sensor, solar thermal collector and the first valve
The pipeline that node is connected is provided with second temperature sensor, and attemperater is provided with the 3rd temperature biography
Sensor, drying room are provided with the 4th temperature sensor, the pipeline that the 7th valve node is connected with drying room
It is provided with the 5th temperature sensor；
First controller connects the first temperature sensor, high pressure positive blower, fan with low voltage, the 6th valve
Door node, the 7th valve node and second temperature sensor；
Second controller connect the first valve node, the second valve node, the 3rd valve node,
Three-temperature sensor and negative-pressure air fan；
3rd controller connect the 5th temperature sensor, the 4th valve node, air energy heater,
4th temperature sensor and the 5th valve node；
Said system by the temperature in real-time monitoring solar thermal collector and drying room, arrange first,
The control coefrficient of second, third controller makes the temperature stabilization of drying room within limits, the
One controller utilizes the wind speed of Frequency Converter Control high pressure positive blower and fan with low voltage；When the first controller
When monitoring that heat collector interior temperature spends high, inform that second controller passes through Frequency Converter Control negative pressure wind
Machine, carries out convulsion energy storage；When the first monitoring control devices, in heat collector, temperature is arranged less than drying room
During temperature, inform the 3rd controller by temperature in air energy heater intensification drying room；First control
Device processed, second controller, the 3rd controller communicate with one another, and data are transmitted by Internet of Things
Into staff's handheld terminal.
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Application publication date: 20170329 |