CN106327078A - Energy management experiment system and energy management experiment method capable of simulating true node data change - Google Patents
Energy management experiment system and energy management experiment method capable of simulating true node data change Download PDFInfo
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Abstract
The invention discloses an energy management experiment system and an energy management experiment method capable of simulating true node data change. The energy management experiment system comprises an experiment control server and a plurality of simulating nodes, wherein the experiment control server and the plurality of simulating nodes constitute a simulated energy monitoring network. The experiment control server comprises the components of a node selecting module which is used for selecting a simulating node requirement for measurement and selecting the type of a simulating device according to the selected simulating node; and a central control module which is used for transmitting a control command to the selected simulating node according to the selected simulating node that is selected by the node selecting module. The energy management experiment system capable of simulating true node data change is based on an Internet-of-things thought and simulates an enterprise energy ecosystem in which energy devices such as a plurality of electric power devices, a water supply device, an air conditioning device and a pressure device are interconnected. The energy management experiment system and the energy management experiment method realize energy data sharing and supply a feasible plan for energy-saving and emission-reduction of an enterprise through associated change analysis on energy data.
Description
Technical field
The present invention relates to energy conservation field of experiment equipment, particularly relate to a kind of energy simulating real node data variation
Source control experimental system, method.
Background technology
Energy development is faced with the severe challenges such as resource anxiety, environmental pollution, climate change, and China the most also adds large needle
To manufacturing energy-saving and emission-reduction dynamics.Accordingly, it is capable to source interconnection is increasingly paid close attention to by people.The energy interconnects, and interconnects based on thing thing
Internet of Things thought, constitute an electric device, water supply installation, air-conditioning device and pressure apparatus equal energy source device and be mutually related
Enterprise energy ecosystem, it is achieved multi-energy data is shared, and is the energy-conservation of enterprise by multi-energy data is associated mutation analysis
Reduce discharging and feasible program is provided.
For realizing energy interconnection, it is often necessary to set up energy management system in manufacturing enterprise, various energy resources metering is set
Instrument obtains the node data of various energy source device, in order to comprehensively analyze.But so need to put into substantial amounts of manpower and materials,
A set of energy management system uses only for a manufacturing enterprise, poor universality.It is additionally, since this energy management system to be embedded into
In the energy production system of actual motion, to obtain some special experimental datas, as under over loading operating mode run data,
Then needing energy production system to run under over loading operating mode, energy production system easily causes damage, experiment risk is high.
Therefore, if can be by an energy source capsule that can simulate true energy production system interior joint data variation completely
Reason experimental system, solves problem above？
Summary of the invention
It is an object of the invention to propose a kind of test verity and the high real node the simulated data variation of reliability
Energy conservation experimental system, method.
For reaching this purpose, the present invention by the following technical solutions:
A kind of energy conservation experimental system simulating real node data variation, including experiment control server and multiple
Analog node, described experiment control server and multiple analog node are built into simulation energy monitor network, described experiment control
Server includes:
Joint point selection module, for selecting the analog node of required measurement and selecting simulation according to selected analog node
The type of device；
Central control module, for the analog node selected according to joint point selection module, sends to selected analog node
Control command；
Described analog node includes:
Control command receiver module, for receiving and perform the control command that described central control module sends；
Analog node radix storehouse, for setting the span of analog node data, and generates in analog node data
Analog node radix collection in span；
Node radix generation module, concentrates for the analog node radix generated from analog node radix storehouse, chooses one
Analog node radix；
Node pseudo random number generation module, for generating analog node pseudo random number according to linear congruential method；
Analog node data generation module, for the analog node radix chosen according to node radix generation module, and root
The analog node pseudo random number generated according to node pseudo random number generation module, generates analog node data, and to described experiment control
Control server sends analog node data；
Wherein, the structure of described analog node data is:
Analog node data=analog node radix+analog node pseudo random number.
Preferably, described node pseudo random number generation module includes:
Pseudo-random sequence generator, for generating analog node pseudo random number according to recursive sequence formula；
Wherein, described recursive sequence formula is:
X (n+1)=(Ax (n)+B) mod M, n=0,1,2 ...；
X (n) is previous analog node pseudo random number, and x (n+1) is later analog node pseudo random number, and A, B and M are equal
The constant preset for pseudo-random sequence generator, M represents the cycle of described recursive sequence formula and meets following condition:
(1) B and M prime number each other；
(2) A, B and x (0) are respectively less than M；
(3) A-1 is the multiple of p, and p is any prime number of divisible M；
(4) when the multiple that M is 4, A-1 is necessary for the multiple of 4.
Preferably, described analog node also includes:
Node radix sensor, is used for obtaining and carry nodal test data to described node radix generation module；
Described node radix generation module also includes:
Nodal test data diagnosis apparatus, for judging that whether the described nodal test data received are in analog node data
In span, if then described nodal test data being set to analog node radix.
Preferably, described experiment control server also includes:
Data update time setting module, update the time for setting data, and timing updates analog node pseudo random number, from
And timing updates analog node data, the fluctuation change of described analog node digital simulation real node data；
Analog node data management storehouse, for storing the described analog node data that management receives.
Preferably, the experimental technique of the described energy conservation experimental system that can simulate real node data variation, bag are used
Include and select analog node process and analog node data generating procedure:
Analog node process is selected to include:
Step A1, experiment control server selects the required analog node measured and the type of device of corresponding simulation；
Step A2, the analog node selected according to step A1, experiment control server sends control to selected analog node
System order；
Step A3, analog node receives and performs the control command that described experiment control server sends；
Analog node data generating procedure includes:
Step B1, analog node sets the span of analog node data；
Step B2, the span of the analog node data that analog node sets according to step B1, analog node base is set
Number；
Step B3, analog node generates analog node pseudo random number according to linear congruential method；
Step B4, the analog node radix arranged according to step B2, and the analog node pseudorandom generated according to step B3
Number, analog node generates analog node data, and sends analog node data to described experiment control server；
Wherein, the structure of described analog node data is:
Analog node data=analog node radix+analog node pseudo random number.
Preferably, generate analog node pseudo random number according to linear congruential method, specifically include:
Analog node generates analog node pseudo random number according to recursive sequence formula；
Described recursive sequence formula is:
X (n+1)=(Ax (n)+B) mod M, n=0,1,2 ...；
X (n) is previous analog node pseudo random number, and x (n+1) is later analog node pseudo random number, and A, B and M are equal
For constant, M represents the cycle of described recursive sequence formula and meets following condition:
(1) B and M prime number each other；
(2) A, B and x (0) are respectively less than M；
(3) A-1 is the multiple of p, and p is any prime number of divisible M；
(4) when the multiple that M is 4, A-1 is necessary for the multiple of 4.
Preferably, analog node radix method to set up, specifically include:
According to the span of the analog node data that step B1 sets, analog node sets up taking in analog node data
Analog node radix collection in the range of value, and choose an analog node radix from analog node radix concentration；
Or, analog node obtains nodal test data by sensor, and judges that the nodal test data that obtain are whether
In the span of analog node data, if then described nodal test data being set to analog node radix.
Preferably, analog node data updating process is also included:
Step C1, experiment control server settings data update the time；
Step C2, the data set according to step C1 update the time, and analog node timing updates analog node pseudo random number,
Thus timing updates analog node data, the fluctuation change of described analog node digital simulation real node data；
Step C3, the described analog node data that the storage management of experiment control server receives.
The Internet of Things thought that described energy conservation experimental system interconnects based on thing thing, simulate one or more electric device,
Water supply installation, air-conditioning device and pressure apparatus equal energy source device are mutually related enterprise energy ecosystem, it is achieved multi-energy data
Share, be that the energy-saving and emission-reduction of enterprise provide feasible program by multi-energy data is associated mutation analysis.Arrange multiple described
Analog node simulates the fluctuation change of the real node data of various energy source device, such as ammeter, water meter, humiture instrument respectively
Change with the node data of Pressure gauge equal energy source measuring instrument.Described pseudo-random sequence generator utilizes described linear congruential method raw
Becoming analog node pseudo random number, formation speed is fast, it is ensured that analog node data are to become in little scope around a node radix
Change, multi-energy data change in the enterprise energy ecosystem that laminating normal table runs.
Accompanying drawing explanation
The present invention will be further described for accompanying drawing, but the content in accompanying drawing does not constitute any limitation of the invention.
Fig. 1 is the energy conservation experimental system structural representation of one of them embodiment of the present invention；
Fig. 2 is the energy conservation experimental system module relation diagram of one of them embodiment of the present invention；
Fig. 3 is the energy conservation experimental system control flow chart of one of them embodiment of the present invention.
Wherein: experiment control server 1；Analog node 2；Central control module 11；Joint point selection module 12；Control command
Receiver module 21；Analog node radix storehouse 22；Node radix generation module 23；Node pseudo random number generation module 24；Simulation joint
Point data generation module 25；Pseudo-random sequence generator 241；Node radix sensor 26；Data update time setting module 13；
Analog node data management storehouse 14.
Detailed description of the invention
Further illustrate technical scheme below in conjunction with the accompanying drawings and by detailed description of the invention.
The energy conservation experimental system of the real node the simulated data variation of the present embodiment, as it is shown in figure 1, include experiment
Controlling server 1 and multiple analog node 2, described experiment control server 1 and multiple analog node 2 are built into simulation energy prison
Control network,
As in figure 2 it is shown, described experiment control server 1 includes:
Joint point selection module 12, for selecting the analog node 2 of required measurement and selecting according to selected analog node 2
The type of analog；
Central control module 11, for the analog node 2 selected according to joint point selection module 12, to selected analog node
2 transmitting control commands；
Described analog node 2 includes:
Control command receiver module 21, for receiving and perform the control command that described central control module 11 sends；
Analog node radix storehouse 22, for setting the span of analog node data, and generates in analog node data
Span in analog node radix collection；
Node radix generation module 23, concentrates for the analog node radix generated from analog node radix storehouse 22, chooses
One analog node radix；
Node pseudo random number generation module 24, for generating analog node pseudo random number according to linear congruential method；
Analog node data generation module 25, for the analog node radix chosen according to node radix generation module 23,
With the analog node pseudo random number generated according to node pseudo random number generation module 24, generate analog node data, and to described
Experiment control server 1 sends analog node data；
Wherein, the structure of described analog node data is:
Analog node data=analog node radix+analog node pseudo random number.
The Internet of Things thought that the described energy conservation experimental system simulating real node data variation interconnects based on thing thing,
Simulate one or more electric device, water supply installation, air-conditioning device and pressure apparatus equal energy source device to be mutually related enterprise's energy
Source ecosystem, it is achieved multi-energy data is shared, and is that the energy-saving and emission-reduction of enterprise carry by multi-energy data is associated mutation analysis
For feasible program.Described energy conservation experimental system includes experiment control server 1 and multiple analog node 2, described simulation joint
Point 2 generation analog node data, can arrange multiple analog node 2, simulate the real node data of various energy source device respectively
Fluctuation change, such as ammeter, water meter, humiture instrument and Pressure gauge equal energy source measuring instrument node data change；Described reality
Test control server 1 for selecting and controlling each analog node 2；Described analog node radix storehouse 22 is according to corresponding energy meter
Amount instrument measurement scope and the span presetting analog node data, all analog node data of generation must be in institute
State in the span of analog node data, thus ensure the effectiveness of analog node data.
During use, user selects required analog node 2, the analog node of such as ammeter by experiment control server 1
2；Then, user chooses an analog node base by described node radix generation module 23 from described analog node radix collection
Number；Then pass through described node pseudo random number generation module 24 and generate analog node pseudo random number according to linear congruential method；Finally,
Described analog node pseudo random number is added to analog node radix thus is generated mould by described analog node data generation module 25
Intend node data, and send analog node data to described experiment control server 1.Described simulate real node data variation
The fluctuation change of energy conservation experimental system simulation real node data, thus ensure the true of described energy conservation experimental system
Real accurate.
Preferably, described node pseudo random number generation module 24 includes:
Pseudo-random sequence generator 241, for generating analog node pseudo random number according to recursive sequence formula；
Wherein, described recursive sequence formula is:
X (n+1)=(Ax (n)+B) mod M, n=0,1,2 ...；
X (n) is previous analog node pseudo random number, and x (n+1) is later analog node pseudo random number, and A, B and M are equal
The constant preset for pseudo-random sequence generator 241, M represents the cycle of described recursive sequence formula and meets following condition:
(1) B and M prime number each other；
(2) A, B and x (0) are respectively less than M；
(3) A-1 is the multiple of p, and p is any prime number of divisible M；
(4) when the multiple that M is 4, A-1 is necessary for the multiple of 4.
Described pseudo-random sequence generator 241 is for generating analog node pseudo random number according to recursive sequence formula, the most logical
Cross and previous analog node pseudo random number is carried out linear operation delivery thus obtain next analog node pseudo random number.Institute
Stating pseudo-random sequence generator 241 utilizes described linear congruential method to generate analog node pseudo random number, and formation speed is fast, generation
Analog node pseudo random number is uniformly distributed and its randomness is high, then makes analog node data can preferably simulate real node
The fluctuation change of data.It should be noted that x (0)=0, thus the analog node pseudo random number amplitude of variation generated is little, protects
Card analog node data are to change in little scope around a node radix, and the enterprise energy that laminating normal table runs is ecological
Multi-energy data change in system.
Preferably, described analog node 2 also includes:
Node radix sensor 26, is used for obtaining and carry nodal test data to described node radix generation module 23；
Described node radix generation module 23 also includes:
Nodal test data diagnosis apparatus, for judging that whether the described nodal test data received are in analog node data
In span, if then described nodal test data being set to analog node radix.
Described analog node 2 also includes node radix sensor 26, and user can select voluntarily by node radix sensor
26 detect acquisition nodal test data, and the described analog node radix making described node radix generation module 23 arrange is the trueest
Real, the analog node data then making generation are the most true and reliable.
Preferably, described experiment control server 1 also includes:
Data update time setting module 13, update the time for setting data, and timing updates analog node pseudo random number,
Thus timing updates analog node data, the fluctuation change of described analog node digital simulation real node data；
Analog node data management storehouse 14, for storing the described analog node data that management receives.
Owing in the enterprise energy ecosystem that runs at normal table, real node data are around a node radix
Fluctuate the most up and down, therefore described data are set and update time setting module 13, update analog node by timing
Pseudo random number, makes the fluctuation of described analog node digital simulation real node data change, thus guarantees source control and test system
The true and accurate of system.The analog node data received are carried out the pipe that stores and classify by described analog node data management storehouse 14
Reason, can generate various analog node data analysis table, it is simple to customer analysis data, provides for design energy-saving and emission-reduction scheme and supports.
Preferably, use the experimental technique of the described energy conservation experimental system that can simulate real node data variation, as
Shown in Fig. 3, including selecting analog node process and analog node data generating procedure:
Analog node process is selected to include:
Step A1, experiment control server 1 selects analog node 2 and the type of device of corresponding simulation of required measurement；
Step A2, the analog node 2 selected according to step A1, experiment control server 1 sends to selected analog node 2
Control command；
Step A3, analog node 2 receives and performs the control command that described experiment control server 1 sends；
Analog node data generating procedure includes:
Step B1, analog node 2 sets the span of analog node data；
Step B2, the span of the analog node data that analog node 2 sets according to step B1, analog node base is set
Number；
Step B3, analog node 2 generates analog node pseudo random number according to linear congruential method；
Step B4, the analog node radix arranged according to step B2, and the analog node pseudorandom generated according to step B3
Number, analog node 2 generates analog node data, and sends analog node data to described experiment control server 1；
Wherein, the structure of described analog node data is:
Analog node data=analog node radix+analog node pseudo random number.
The described energy conservation experimental technique of real node data variation of simulating is for testing for Internet of Things energy conservation
Analog node data are provided, the fluctuation change of described analog node digital simulation real node data, improves the verity of experiment
And reliability.Internet of Things energy conservation test, based on thing thing interconnection Internet of Things thought, simulate one or more electric device,
Water supply installation, air-conditioning device and pressure apparatus equal energy source device are mutually related enterprise energy ecosystem, it is achieved multi-energy data
Share, be that the energy-saving and emission-reduction of enterprise provide feasible program by multi-energy data is associated mutation analysis.And the Internet of Things energy
The fluctuation change that it is critical only that the real node data that can simulate various energy source device of management misconduct, runs at normal table
Enterprise energy ecosystem in real node data for fluctuate the most up and down around a node radix.
Described analog node data creation method generates analog node pseudo random number according to linear congruential method, and is added
To described analog node radix to form analog node data, update analog node pseudo random number by timing, make described simulation
The fluctuation change of node data simulation real node data, thus ensure the true and accurate that Internet of Things energy conservation is tested.Can mould
Draw up the fluctuation change of the real node data of various energy source device, such as ammeter, water meter, humiture instrument and Pressure gauge equal energy source
The node data change of measuring instrument.The span of described analog node data is according to corresponding energy measurement instrument measurement
Scope and set, all analog node data of generation in the span of described analog node data, thus must be protected
The effectiveness of card analog node data.
Preferably, generate analog node pseudo random number according to linear congruential method, specifically include:
Analog node 2 generates analog node pseudo random number according to recursive sequence formula；
Described recursive sequence formula is:
X (n+1)=(Ax (n)+B) mod M, n=0,1,2 ...；
X (n) is previous analog node pseudo random number, and x (n+1) is later analog node pseudo random number, and A, B and M are equal
For constant, M represents the cycle of described recursive sequence formula and meets following condition:
(1) B and M prime number each other；
(2) A, B and x (0) are respectively less than M；
(3) A-1 is the multiple of p, and p is any prime number of divisible M；
(4) when the multiple that M is 4, A-1 is necessary for the multiple of 4.
Linear congruential method generates analog node pseudo random number according to recursive sequence formula, i.e. by previous analog node
Pseudo random number carries out linear operation delivery thus obtains next analog node pseudo random number.Utilize described linear congruential method raw
Becoming analog node pseudo random number, formation speed is fast, and the analog node pseudo random number of generation is uniformly distributed and its randomness is high, continues
And make analog node data can preferably simulate the fluctuation change of real node data.It should be noted that x (0)=0, thus
The analog node pseudo random number amplitude of variation generated is little, it is ensured that analog node data are in little scope around a node radix
Interior change, multi-energy data change in the enterprise energy ecosystem that laminating normal table runs.
Preferably, analog node radix method to set up, specifically include:
According to the span of the analog node data that step B1 sets, analog node 2 is set up in analog node data
Analog node radix collection in span, and choose an analog node radix from analog node radix concentration；
Or, analog node 2 obtains nodal test data by sensor, and judges the nodal test data that obtain are whether
In the span of analog node data, if then described nodal test data being set to analog node radix.
Described analog node radix can be concentrated from described analog node radix and choose, and described analog node radix is one and consolidates
Definite value, remains unchanged in the updating, the simulation that i.e. analog node data are changed by a fixing analog node cardinal sum one
Node pseudo random number forms.Described analog node radix also can detect acquisition by sensor, makes the described simulation joint of setting
Point radix is the truest, and the analog node data then making generation are the most true and reliable.
Preferably, as it is shown on figure 3, also include analog node data updating process:
Step C1, experiment control server 1 setting data updates the time；
Step C2, the data set according to step C1 update the time, and analog node 2 timing updates analog node pseudorandom
Number, thus timing updates analog node data, the fluctuation change of described analog node digital simulation real node data；
Step C3, the described analog node data that experiment control server 1 storage management receives.
Owing in the enterprise energy ecosystem that runs at normal table, real node data are around a node radix
Fluctuate the most up and down, therefore analog node data updating process is set, update analog node pseudorandom by timing
Number, makes the fluctuation of described analog node digital simulation real node data change, thus guarantees the true of source control experimental technique
Real accurate.The analog node data received are carried out storing and Classification Management by described experiment control server 1, can generate various
Analog node data analysis table, it is simple to customer analysis data, provides for design energy-saving and emission-reduction scheme and supports.
The know-why of the present invention is described above in association with specific embodiment.These describe and are intended merely to explain the present invention's
Principle, and limiting the scope of the invention can not be construed to by any way.Based on explanation herein, the technology of this area
Personnel need not pay performing creative labour can associate other detailed description of the invention of the present invention, and these modes fall within
Within protection scope of the present invention.
Claims (8)
1. can simulate an energy conservation experimental system for real node data variation, including experiment control server and multiple mould
Intending node, described experiment control server and multiple analog node are built into simulation energy monitor network, it is characterised in that described
Experiment control server includes:
Joint point selection module, for selecting the analog node of required measurement and selecting analog according to selected analog node
Type；
Central control module, for the analog node selected according to joint point selection module, sends to selected analog node and controls
Order；
Described analog node includes:
Control command receiver module, for receiving and perform the control command that described central control module sends；
Analog node radix storehouse, for setting the span of analog node data, and generates the value in analog node data
In the range of analog node radix collection；
Node radix generation module, concentrates for the analog node radix generated from analog node radix storehouse, chooses a simulation
Node radix；
Node pseudo random number generation module, for generating analog node pseudo random number according to linear congruential method；
Analog node data generation module, for the analog node radix chosen according to node radix generation module, with according to joint
The analog node pseudo random number that some pseudo random number generation module generates, generates analog node data, and takes to described experiment control
Business device sends analog node data；
Wherein, the structure of described analog node data is:
Analog node data=analog node radix+analog node pseudo random number.
The energy conservation experimental system simulating real node data variation the most according to claim 1, it is characterised in that
Described node pseudo random number generation module includes:
Pseudo-random sequence generator, for generating analog node pseudo random number according to recursive sequence formula；
Wherein, described recursive sequence formula is:
X (n+1)=(Ax (n)+B) mod M, n=0,1,2 ...；
X (n) is previous analog node pseudo random number, and x (n+1) is later analog node pseudo random number, and A, B and M are puppet
The constant that random sequence generator is preset, M represents the cycle of described recursive sequence formula and meets following condition:
(1) B and M prime number each other；
(2) A, B and x (0) are respectively less than M；
(3) A-1 is the multiple of p, and p is any prime number of divisible M；
(4) when the multiple that M is 4, A-1 is necessary for the multiple of 4.
The energy conservation experimental system simulating real node data variation the most according to claim 1, it is characterised in that
Described analog node also includes:
Node radix sensor, is used for obtaining and carry nodal test data to described node radix generation module；
Described node radix generation module also includes:
Nodal test data diagnosis apparatus, for judging that the described nodal test data received are whether in the value of analog node data
In the range of, if then described nodal test data being set to analog node radix.
The energy conservation experimental system simulating real node data variation the most according to claim 1, it is characterised in that
Described experiment control server also includes:
Data update time setting module, for setting data update the time, timing update analog node pseudo random number, from depending on
Shi Gengxin analog node data, the fluctuation change of described analog node digital simulation real node data；
Analog node data management storehouse, for storing the described analog node data that management receives.
5. the energy conservation experimental system of the use real node simulated data variation described in claim 1 to 4 any one
Experimental technique, it is characterised in that include selecting analog node process and analog node data generating procedure:
Analog node process is selected to include:
Step A1, experiment control server selects the required analog node measured and the type of device of corresponding simulation；
Step A2, the analog node selected according to step A1, experiment control server sends to selected analog node and controls life
Order；
Step A3, analog node receives and performs the control command that described experiment control server sends；
Analog node data generating procedure includes:
Step B1, analog node sets the span of analog node data；
Step B2, the span of the analog node data that analog node sets according to step B1, analog node radix is set；
Step B3, analog node generates analog node pseudo random number according to linear congruential method；
Step B4, the analog node radix arranged according to step B2, and the analog node pseudo random number generated according to step B3, mould
Intend node and generate analog node data, and send analog node data to described experiment control server；
Wherein, the structure of described analog node data is:
Analog node data=analog node radix+analog node pseudo random number.
Experimental technique the most according to claim 5, it is characterised in that generate analog node pseudorandom according to linear congruential method
Number, specifically includes:
Analog node generates analog node pseudo random number according to recursive sequence formula；
Described recursive sequence formula is:
X (n+1)=(Ax (n)+B) mod M, n=0,1,2 ...；
X (n) is previous analog node pseudo random number, and x (n+1) is later analog node pseudo random number, and A, B and M are often
Number, M represents the cycle of described recursive sequence formula and meets following condition:
(1) B and M prime number each other；
(2) A, B and x (0) are respectively less than M；
(3) A-1 is the multiple of p, and p is any prime number of divisible M；
(4) when the multiple that M is 4, A-1 is necessary for the multiple of 4.
Experimental technique the most according to claim 5, it is characterised in that analog node radix method to set up, specifically includes:
According to the span of the analog node data that step B1 sets, analog node sets up the value model in analog node data
Enclose interior analog node radix collection, and choose an analog node radix from analog node radix concentration；
Or, analog node obtains nodal test data by sensor, and judges that whether the nodal test data obtained are at mould
Intend in the span of node data, if then described nodal test data being set to analog node radix.
Experimental technique the most according to claim 5, it is characterised in that also include analog node data updating process:
Step C1, experiment control server settings data update the time；
Step C2, the data set according to step C1 update the time, and analog node timing updates analog node pseudo random number, thus
Timing updates analog node data, the fluctuation change of described analog node digital simulation real node data；
Step C3, the described analog node data that the storage management of experiment control server receives.
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| CN102063566A (en) * | 2010-12-15 | 2011-05-18 | 冶金自动化研究设计院 | Multi-gas-source steam pipe network computing system of hydraulic thermal-coupling simulation model |
| CN102546063A (en) * | 2012-02-24 | 2012-07-04 | 哈尔滨工业大学 | Energy consumption simulation tool of wireless sensor network and simulation method thereof |
| CN102663232A (en) * | 2012-03-13 | 2012-09-12 | 江苏润和软件股份有限公司 | Multi-dimensional simulation analysis system and method thereof for user energy efficiency evaluation |
| CN105391066A (en) * | 2015-12-17 | 2016-03-09 | 西安交通大学 | Smart power grid stimulation operation system |
| CN105517006A (en) * | 2015-12-02 | 2016-04-20 | 昆明理工大学 | Modeling simulation method for wireless sensor network power consumption model based on random geometric theory |
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| CN102063566A (en) * | 2010-12-15 | 2011-05-18 | 冶金自动化研究设计院 | Multi-gas-source steam pipe network computing system of hydraulic thermal-coupling simulation model |
| CN102546063A (en) * | 2012-02-24 | 2012-07-04 | 哈尔滨工业大学 | Energy consumption simulation tool of wireless sensor network and simulation method thereof |
| CN102663232A (en) * | 2012-03-13 | 2012-09-12 | 江苏润和软件股份有限公司 | Multi-dimensional simulation analysis system and method thereof for user energy efficiency evaluation |
| CN105517006A (en) * | 2015-12-02 | 2016-04-20 | 昆明理工大学 | Modeling simulation method for wireless sensor network power consumption model based on random geometric theory |
| CN105391066A (en) * | 2015-12-17 | 2016-03-09 | 西安交通大学 | Smart power grid stimulation operation system |
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