CN108365963A - A kind of solar-electricity pool electronic communication system - Google Patents
A kind of solar-electricity pool electronic communication system Download PDFInfo
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- CN108365963A CN108365963A CN201810322318.XA CN201810322318A CN108365963A CN 108365963 A CN108365963 A CN 108365963A CN 201810322318 A CN201810322318 A CN 201810322318A CN 108365963 A CN108365963 A CN 108365963A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/02—Details
- H04L12/10—Current supply arrangements
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/34—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
- H02J7/35—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering with light sensitive cells
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
- H04B17/336—Signal-to-interference ratio [SIR] or carrier-to-interference ratio [CIR]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0631—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
- H04L41/065—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis involving logical or physical relationship, e.g. grouping and hierarchies
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0677—Localisation of faults
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/145—Network analysis or design involving simulating, designing, planning or modelling of a network
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- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Power Engineering (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention belongs to technical field of electronic communication, disclose a kind of solar-electricity pool electronic communication system, and the solar-electricity pool electronic communication system includes:Solar powered module, parameter configuration module, single chip control module, wireless communication module, signal amplification module, level switch module, computer, display module.The present invention can obtain the solar energy of clean and effective by solar powered module, save the energy, economic and environment-friendly, can avoid occurring interrupting situation during electronic communication with permanent supply;Synchronous signal amplification module has more excellent anti-high-frequency noise and antinoise signal mutual interference characteristic, amplifies to electrical communication signals, can increase information transmission range, enhances signal strength.
Description
Technical field
The invention belongs to technical field of electronic communication more particularly to a kind of solar-electricity pool electronic communication systems.
Background technology
Electronic communication is that Electronics Science and Technology and information technology are combined, builds the engineering field of advanced information society,
Electronic component, integrated circuit, electronic control, instrument instrument are solved using the basic theories of Electronics Science and Technology and information technology
The technical issues of table, Computer Design are with manufacture and with electronics and communication engineering related field is studied the detection of electronic information, is passed
Theory and technology that is defeated, exchanging, handle and show.However, existing electronic communication system expends electric energy using traditional power supply mode,
It can not work on if power-off, influence communication efficiency;Simultaneously electronic communication transmission be easily lost on the way, signal strength
It is weak, influence signal reception.
In conclusion problem of the existing technology is:Existing electronic communication system expends electricity using traditional power supply mode
Can, it can not work on if power-off, influence communication efficiency;Simultaneously electronic communication transmission be easily lost on the way, signal it is strong
Spend it is weak, influence signal reception.
Invention content
In view of the problems of the existing technology, the present invention provides a kind of solar-electricity pool electronic communication systems.
The invention is realized in this way a kind of solar-electricity pool electronic communication system includes:
Solar powered module is connect with single chip control module, converts solar energy for passing through solar panel
For electric energy, it is powered;
Parameter configuration module is connect with single chip control module, for carrying out initial parameter configuration to communication system;It is described
The initial parameter data of acquisition are uniformly processed parameter configuration module, build unified operation/maintenance data model;According to structure
Operation/maintenance data model analysis is associated to heterogeneous network operation/maintenance data and network failure, realize network failure positioning;
Operation/maintenance data model process is as follows:
First, it chooses and refers to warning information parameter vector, establish reference sequence X0,
X0={ X0(k) | k=1,2 ..., n }=(X0(1),X0(2),…,X0(n))
Wherein k indicates moment, X0Indicate that warning information, n indicate warning information parameter vector intrinsic dimensionality;
Secondly, it is assumed that there is m relatively fault warning information data, foundation to compare ordered series of numbers Xi
Xi={ Xi(k) | k=1,2 ..., n }=(Xi(1),Xi(2),…,Xi(n))i=1,2 ..., m
Then, it establishes and compares ordered series of numbers XiTo reference sequence X0In the incidence coefficient ζ at k momenti(k)
Wherein, w1For the corresponding weight of parameters, it is adjusted and determines according to the network attribute of user;Wherein ρ
For resolution ratio, ρ ∈ [0 ,+∞);ρ is bigger, and resolution is bigger;ρ is smaller, and resolution is smaller;
Finally, it calculates and compares ordered series of numbers XiTo reference sequence X0The degree of association
By association analysis, failure establishes mapping relations between fault warning information, KPI indexs and network, builds failure
Location model carries out network failure positioning by BP (back-propagation, back-propagating) neural network;The network event
Barrier positioning specifically includes following process:
First, m dimension alarm vectors Q is obtainedn=(s1,s2,s3…sm) and n dimension fault vectors On=(p1,p2,p3…pm), and
It is inputted simultaneously by multiple network nodes, makes system that there is parallel organization and parallel processing capability, input is carried out real-time
Dynamic processing;
Secondly, BP networks, the weights each to connect assign the value in specified range, while referring to for each neuron node
Determine threshold value;
Again, group input alarm sample machine objective result is supplied to network, and calculates the connection weight of neural network node
The input and output value of value, threshold value and each implicit layer unit;
Then, just each layer error:The error of output layer unit is calculated using object vector and network real output value, and is tied
The output of each unit of hidden layer is closed to correct connection weight and threshold value, carries out back-propagation amendment;
Finally, training sample vector sum is trained heterogeneous network system, transports network after the complete whole samples of training
Fault warning information is tieed up, trained BP networks is inputted and carries out network failure positioning;
Single chip control module connects with solar powered module, parameter configuration module, wireless communication module, display module
It connects, be used for and control modules normal work;
The calculation formula of the total link quality of the single chip control module is:
Qos=new_qos-data_len-skb_size-rtt-pacloss-signal
Wherein, Qos is total link quality, and data_len is transmission data length, and skb_size is that receiving cache queue is long
Degree, rtt are average delay, and pacloss is packet loss, and signal is the absolute value of signal strength;
Wherein, node_number_punishment is the hop count punishment being arranged in intermediate path,
Combined_qos=hello_qos × qos_own × qos_different_lq_punishment
Wherein, hello_qos is the information about link-quality in hello broadcast packets,
Qos_different_lq_punishment punishes that algorithm is for link asymmetry:
Wireless communication module is connect with single chip control module, signal amplification module, and being used for will be at single chip control module
Reason data are converted into wireless signal and are sent to signal amplification module;
The signal-noise ratio estimation method of the wireless communication module includes the following steps:
Step 1 measuring signal is mixed by N number of component signal and white Gaussian noise, asks the normalization of measuring signal
Fourth order cumulantSix rank cumulant of normalizingEight rank cumulant of normalizingEqual N+1 normalization high-order
Cumulant;
Step 2, structure normalization Higher Order Cumulants equation group;
Step 3, traverses out the modulation type combination of N number of signal, and the normalization for tabling look-up to obtain each modulation type signal is high
Rank cumulant substitutes into the top n equation in equation group, calculates the power ratio for acquiring resultant signal shared by each component signalResult is substituted into the N+1 equation, filters out correct modulation type combination;
Step 4 obtains the power ratio of resultant signal shared by correct modulation type and each component signal
According to signal-to-noise ratio (SNR) estimation formulaEstimate signal-to-noise ratio;
Signal amplification module is connect with wireless communication module, level switch module, for being amplified to wireless signal;
Level switch module is connect with signal amplification module, computer, is suitble to calculate electromechanics for converting voltages into
Pressure accesses computer;
Display module is connect with single chip control module, the data information for showing single chip control module processing.
Further, parameter configuration module includes Network conf iotag module and serial ports configuration module;
Network conf iotag module is used to send the required time according to residing network environment calculating task, to which selection is best
Network line;
Serial ports configuration module is used to be arranged the correspondence of task execution file and serial ports.
Further, Network conf iotag module includes modulation intelligence M and channel quantity c, is sent based on following formula estimation task
Time loss T2=2Ttx(M, c)+Tvm, wherein Ttx(M, c) indicates to send the time of task under network configuration,
Wherein L indicates the bit number of task, TsIt is constant associated with the mobile environment residing for equipment with l.
Further, the wireless communication module includes signal conversion module, signal transmission module;
Signal conversion module, for converting digital signals into analog signal;
Signal transmission module, for wirelessly sending analog signal.
Further, signal amplification module includes the first operation amplifier circuit, the first reference voltage of first comparator circuit
Circuit, phase inverter, current biasing circuit and resistance;
First comparator is hysteresis comparator, and rising and falling edges overturning point voltage is different, and intermediate there are a voltages
Window.
Further, the single chip control module uses AT89C52 microcontrollers.
Further, the level switch module uses MAX232 devices.
Advantages of the present invention and good effect are:The present invention can obtain clean and effective too by solar powered module
Positive energy saves the energy, economic and environment-friendly, can avoid occurring interrupting situation during electronic communication with permanent supply;Synchronous signal is put
Big module has more excellent anti-high-frequency noise and antinoise signal mutual interference characteristic, amplifies to electrical communication signals, can increase information
Transmission range enhances signal strength.
Description of the drawings
Fig. 1 is solar-electricity pool electronic communication system structure diagram provided in an embodiment of the present invention;
Fig. 2 is solar-electricity pool electronic communication system signal amplifier module circuit diagram provided in an embodiment of the present invention;
In figure:1, solar powered module;2, parameter configuration module;3, single chip control module;4, wireless communication module;
5, signal amplification module;6, level switch module;7, computer;8, display module.
Specific implementation mode
In order to further understand the content, features and effects of the present invention, the following examples are hereby given, and coordinate attached drawing
Detailed description are as follows.
The structure of the present invention is explained in detail below in conjunction with the accompanying drawings.
As shown in Figure 1, solar-electricity pool electronic communication system provided in an embodiment of the present invention includes:Solar powered mould
Block 1, parameter configuration module 2, single chip control module 3, wireless communication module 4, signal amplification module 5, level switch module 6,
Computer 7, display module 8.
Solar powered module 1 is connect with single chip control module 3, for being turned solar energy by solar panel
Electric energy is turned to, is powered;
Parameter configuration module 2 is connect with single chip control module 3, for carrying out initial parameter configuration to communication system;
Single chip control module 3, with solar powered module 1, parameter configuration module 2, wireless communication module 4, display mould
Block 8 connects, and is used for and controls modules normal work;
Wireless communication module 4 is connect with single chip control module 3, signal amplification module 5, for microcontroller to be controlled mould
The processing of block 3 data are converted into wireless signal and are sent to signal amplification module 5;
Signal amplification module 5 is connect with wireless communication module 4, level switch module 6, for being put to wireless signal
Greatly;
Level switch module 6 is connect with signal amplification module 5, computer 7, for converting voltages into suitable computer 7
Voltage accesses computer 7;
Display module 8 is connect with single chip control module 3, the data letter handled for showing single chip control module 3
Breath.
Parameter configuration module 2 includes Network conf iotag module and serial ports configuration module;
Network conf iotag module is used to send the required time according to residing network environment calculating task, to which selection is best
Network line;
Serial ports configuration module is used to be arranged the correspondence of task execution file and serial ports.
Network conf iotag module includes modulation intelligence M and channel quantity c, and the time sent based on following formula estimation task is disappeared
Consume T2=2Ttx(M, c)+Tvm, wherein Ttx(M, c) indicates to send the time of task under network configuration,
Wherein L indicates the bit number of task, TsIt is constant associated with the mobile environment residing for equipment with l.
The wireless communication module 4 includes signal conversion module, signal transmission module;
Signal conversion module, for converting digital signals into analog signal;
Signal transmission module, for wirelessly sending analog signal.
Signal amplification module 5 includes the first operation amplifier circuit, the first reference voltage circuit of first comparator circuit, anti-
Phase device, current biasing circuit and resistance;
First comparator is hysteresis comparator, and rising and falling edges overturning point voltage is different, and intermediate there are a voltages
Window.
The initial parameter data of acquisition are uniformly processed the parameter configuration module, build unified operation/maintenance data mould
Type;Analysis is associated to heterogeneous network operation/maintenance data and network failure according to the operation/maintenance data model of structure, realizes network event
Barrier positioning;
Operation/maintenance data model process is as follows:
First, it chooses and refers to warning information parameter vector, establish reference sequence X0,
X0={ X0(k) | k=1,2 ..., n }=(X0(1),X0(2),…,X0(n))
Wherein k indicates moment, X0Indicate that warning information, n indicate warning information parameter vector intrinsic dimensionality;
Secondly, it is assumed that there is m relatively fault warning information data, foundation to compare ordered series of numbers Xi
Xi={ Xi(k) | k=1,2 ..., n }=(Xi(1),Xi(2),…,Xi(n))i=1,2 ..., m
Then, it establishes and compares ordered series of numbers XiTo reference sequence X0In the incidence coefficient ζ at k momenti(k)
Wherein, w1For the corresponding weight of parameters, it is adjusted and determines according to the network attribute of user;Wherein ρ
For resolution ratio, ρ ∈ [0 ,+∞);ρ is bigger, and resolution is bigger;ρ is smaller, and resolution is smaller;
Finally, it calculates and compares ordered series of numbers XiTo reference sequence X0The degree of association
By association analysis, failure establishes mapping relations between fault warning information, KPI indexs and network, builds failure
Location model carries out network failure positioning by BP (back-propagation, back-propagating) neural network;The network event
Barrier positioning specifically includes following process:
First, m dimension alarm vectors Q is obtainedn=(s1,s2,s3…sm) and n dimension fault vectors On=(p1,p2,p3…pm), and
It is inputted simultaneously by multiple network nodes, makes system that there is parallel organization and parallel processing capability, input is carried out real-time
Dynamic processing;
Secondly, BP networks, the weights each to connect assign the value in specified range, while referring to for each neuron node
Determine threshold value;
Again, group input alarm sample machine objective result is supplied to network, and calculates the connection weight of neural network node
The input and output value of value, threshold value and each implicit layer unit;
Then, just each layer error:The error of output layer unit is calculated using object vector and network real output value, and is tied
The output of each unit of hidden layer is closed to correct connection weight and threshold value, carries out back-propagation amendment;
Finally, training sample vector sum is trained heterogeneous network system, transports network after the complete whole samples of training
Fault warning information is tieed up, trained BP networks is inputted and carries out network failure positioning.
The calculation formula of the total link quality of the single chip control module is:
Qos=new_qos-data_len-skb_size-rtt-pacloss-signal
Wherein, Qos is total link quality, and data_len is transmission data length, and skb_size is that receiving cache queue is long
Degree, rtt are average delay, and pacloss is packet loss, and signal is the absolute value of signal strength;
Wherein, node_number_punishment is the hop count punishment being arranged in intermediate path,
Combined_qos=hello_qos × qos_own × qos_different_lq_punishment
Wherein, hello_qos is the information about link-quality in hello broadcast packets,
Qos_different_lq_punishment punishes that algorithm is for link asymmetry:
The signal-noise ratio estimation method of the wireless communication module includes the following steps:
Step 1 measuring signal is mixed by N number of component signal and white Gaussian noise, asks the normalization of measuring signal
Fourth order cumulantSix rank cumulant of normalizingEight rank cumulant of normalizingEqual N+1 normalization high-order
Cumulant;
Step 2, structure normalization Higher Order Cumulants equation group;
Step 3, traverses out the modulation type combination of N number of signal, and the normalization for tabling look-up to obtain each modulation type signal is high
Rank cumulant substitutes into the top n equation in equation group, calculates the power ratio for acquiring resultant signal shared by each component signalResult is substituted into the N+1 equation, filters out correct modulation type combination;
Step 4 obtains the power ratio of resultant signal shared by correct modulation type and each component signal
According to signal-to-noise ratio (SNR) estimation formulaEstimate signal-to-noise ratio.
3 pieces of microcontroller control mould provided by the invention uses AT89C52 microcontrollers.
Level switch module 6 provided by the invention uses MAX232 devices.
The present invention is supplied in use, solar powered module 1 is converted solar energy into electrical energy by solar panel
Electricity;Then, initial parameter configuration is carried out to communication system by parameter configuration module 2, is calculated and is appointed according to residing network environment
Business sends the required time, to select optimum network circuit, and determines the correspondence of task execution file and serial ports;Monolithic
By data information, module 4 is sent to signal amplification module 5 to machine control module 3 by radio communication;Signal amplification module 5 is to wireless
Signal is amplified;7 voltage of suitable computer, which is converted voltages into, by level switch module 6 accesses computer;Finally, pass through
Display module 8 shows the data information that single chip control module 3 is handled.
The above is only the preferred embodiments of the present invention, and is not intended to limit the present invention in any form,
Every any simple modification made to the above embodiment according to the technical essence of the invention, equivalent variations and modification, belong to
In the range of technical solution of the present invention.
Claims (7)
1. a kind of solar-electricity pool electronic communication system, which is characterized in that the solar-electricity pool electronic communication system packet
It includes:
Solar powered module is connect with single chip control module, and electricity is converted solar energy into for passing through solar panel
Can, it is powered;
Parameter configuration module is connect with single chip control module, for carrying out initial parameter configuration to communication system;The parameter
The initial parameter data of acquisition are uniformly processed configuration module, build unified operation/maintenance data model;According to the fortune of structure
D Data Model is associated analysis to heterogeneous network operation/maintenance data and network failure, realizes network failure positioning;
Operation/maintenance data model process is as follows:
First, it chooses and refers to warning information parameter vector, establish reference sequence X0,
X0={ X0(k) | k=1,2 ..., n }=(X0(1),X0(2),…,X0(n))
Wherein k indicates moment, X0Indicate that warning information, n indicate warning information parameter vector intrinsic dimensionality;
Secondly, it is assumed that there is m relatively fault warning information data, foundation to compare ordered series of numbers Xi
Xi={ Xi(k) | k=1,2 ..., n }=(Xi(1),Xi(2),…,Xi(n))i=1,2 ..., m
Then, it establishes and compares ordered series of numbers XiTo reference sequence X0In the incidence coefficient ζ at k momenti(k)
Wherein, w1For the corresponding weight of parameters, it is adjusted and determines according to the network attribute of user;Wherein ρ is to differentiate
Coefficient, ρ ∈ [0 ,+∞);ρ is bigger, and resolution is bigger;ρ is smaller, and resolution is smaller;
Finally, it calculates and compares ordered series of numbers XiTo reference sequence X0The degree of association
By association analysis, failure establishes mapping relations between fault warning information, KPI indexs and network, builds fault location
Model carries out network failure positioning by BP (back-propagation, back-propagating) neural network;The network failure is fixed
Position specifically includes following process:
First, m dimension alarm vectors Q is obtainedn=(s1,s2,s3…sm) and n dimension fault vectors On=(p1,p2,p3…pm), and by its
It is inputted simultaneously by multiple network nodes, makes system that there is parallel organization and parallel processing capability, input is moved in real time
State processing;
Secondly, BP networks, the weights each to connect assign the value in specified range, while specifying threshold for each neuron node
Value;
Again, group input alarm sample machine objective result is supplied to network, and calculates the connection weight of neural network node, threshold
The input and output value of value and each implicit layer unit;
Then, just each layer error:The error of output layer unit is calculated using object vector and network real output value, and is combined hidden
Connection weight and threshold value are corrected in the output of each unit containing layer, carry out back-propagation amendment;
Finally, training sample vector sum is trained heterogeneous network system, by the event of network O&M after the complete whole samples of training
Hinder warning information, inputs trained BP networks and carry out network failure positioning;
Single chip control module is connect with solar powered module, parameter configuration module, wireless communication module, display module, is used
In and control modules normal work;
The calculation formula of the total link quality of the single chip control module is:
Qos=new_qos-data_len-skb_size-rtt-pacloss-signal
Wherein, Qos is total link quality, and data_len is transmission data length, and skb_size is receiving cache queue length,
Rtt is average delay, and pacloss is packet loss, and signal is the absolute value of signal strength;
Wherein, node_number_punishment is the hop count punishment being arranged in intermediate path,
Combined_qos=hello_qos × qos_own × qos_different_lq_punishment
Wherein, hello_qos is the information about link-quality, qos_different_lq_ in hello broadcast packets
Punishment punishes that algorithm is for link asymmetry:
Wireless communication module is connect with single chip control module, signal amplification module, for single chip control module to be handled number
It is sent to signal amplification module according to wireless signal is converted into;
The signal-noise ratio estimation method of the wireless communication module includes the following steps:
Step 1 measuring signal is mixed by N number of component signal and white Gaussian noise, seeks the normalization quadravalence of measuring signal
CumulantSix rank cumulant of normalizingEight rank cumulant of normalizingEqual N+1 normalization higher order cumulants
Amount;
Step 2, structure normalization Higher Order Cumulants equation group;
Step 3, traverses out the modulation type combination of N number of signal, and the normalization high-order for tabling look-up to obtain each modulation type signal is tired
Accumulated amount substitutes into the top n equation in equation group, calculates the power ratio for acquiring resultant signal shared by each component signalResult is substituted into the N+1 equation, filters out correct modulation type combination;
Step 4 obtains the power ratio of resultant signal shared by correct modulation type and each component signal According to
Signal-to-noise ratio (SNR) estimation formulaEstimate signal-to-noise ratio;
Signal amplification module is connect with wireless communication module, level switch module, for being amplified to wireless signal;
Level switch module is connect with signal amplification module, computer, for converting voltages into suitable computer voltage, is connect
Enter computer;
Display module is connect with single chip control module, the data information for showing single chip control module processing.
2. solar-electricity pool electronic communication system as described in claim 1, which is characterized in that parameter configuration module includes net
Network configuration module and serial ports configuration module;
Network conf iotag module is used to send the required time according to residing network environment calculating task, to select optimum network
Circuit;
Serial ports configuration module is used to be arranged the correspondence of task execution file and serial ports.
3. solar-electricity pool electronic communication system as claimed in claim 2, which is characterized in that the Network conf iotag module packet
Modulation intelligence M and channel quantity c are included, the time loss T sent based on following formula estimation task2=2Ttx(M, c)+Tvm, wherein
Ttx(M, c) indicates to send the time of task under network configuration:
Wherein L indicates the bit number of task, TsIt is constant associated with the mobile environment residing for equipment with L.
4. solar-electricity pool electronic communication system as described in claim 1, which is characterized in that the wireless communication module packet
Include signal conversion module, signal transmission module;
Signal conversion module, for converting digital signals into analog signal;
Signal transmission module, for wirelessly sending analog signal.
5. solar-electricity pool electronic communication system as described in claim 1, which is characterized in that the signal amplification module packet
Include the first operation amplifier circuit, the first reference voltage circuit of first comparator circuit, phase inverter, current biasing circuit and electricity
Resistance;
First comparator is hysteresis comparator, and rising and falling edges overturning point voltage is different, and intermediate there are a voltage windows.
6. solar-electricity pool electronic communication system as described in claim 1, which is characterized in that the single chip control module
Using AT89C52 microcontrollers.
7. solar-electricity pool electronic communication system as described in claim 1, which is characterized in that the level switch module is adopted
With MAX232 devices.
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