CN106327078B - A kind of energy management experimental system, the method for analog real node data variation - Google Patents
A kind of energy management experimental system, the method for analog real node data variation Download PDFInfo
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Abstract
The invention discloses energy management experimental system, the methods of a kind of analog real node data variation, including experiment control server and multiple analog nodes, experiment control server and multiple analog nodes are built into simulation energy monitor network, experiment control server includes: node selecting module, and the type of simulator is selected for analog node needed for selecting measurement and according to selected analog node；The analog node of central control module, the analog node for being selected according to node selecting module, Xiang Suoxuan sends control command.The Internet of Things thought that the energy management experimental system of analog real node data variation is interconnected based on object object, the energy source devices such as one or more electric devices, water supply device, air-conditioning device and pressure apparatus are simulated to be mutually related the enterprise energy ecosystem, it realizes that multi-energy data is shared, provides feasible program and the association mutation analysis to multi-energy data for the energy-saving and emission-reduction of enterprise.
Description
Technical field
The present invention relates to energy management field of experiment equipment more particularly to a kind of energy of analog real node data variation
Source control experimental system, method.
Background technique
Energy development is faced with severe challenges, the China such as resource anxiety, environmental pollution, climate change and also increases needle in recent years
To manufacturing energy-saving and emission-reduction dynamics.Therefore, energy source interconnection is increasingly paid close attention to by people.Energy source interconnection, is interconnected based on object object
Internet of Things thought, constitute the energy source devices such as an electric device, water supply device, air-conditioning device and pressure apparatus and be mutually related
The enterprise energy ecosystem realizes that multi-energy data is shared, passes through the energy conservation that the association mutation analysis to multi-energy data is enterprise
Emission reduction provides feasible program.
To realize energy source interconnection, it is often necessary to establish energy management system in manufacturing enterprise, setting various energy resources are measured
Instrument obtains the node datas of various energy source devices, to carry out comprehensive analysis.But a large amount of manpower and material resources need to be put into this way,
A set of energy management system is used only for a manufacturing enterprise, poor universality.Moreover, because the energy management system is embedded into
In the energy production system of actual motion, to obtain some special experimental datas, such as the data run under excess load operating condition,
It then needs energy production system to run under excess load operating condition, is easy to damage energy production system, experiment risk is high.
Therefore, if the energy source capsule of true energy production system interior joint data variation can be simulated completely by one
Experimental system is managed, to solve problem above?
Summary of the invention
It is an object of the invention to propose a kind of analog real node data variation for testing authenticity and high reliablity
Energy management experimental system, method.
To achieve this purpose, the present invention adopts the following technical scheme:
A kind of energy management experimental system of analog real node data variation, including experiment control server and multiple
Analog node, the experiment control server and multiple analog nodes are built into simulation energy monitor network, the experiment control
Server includes:
Node selecting module selects to simulate for the analog node of measurement needed for selecting and according to selected analog node
The type of device；
The analog node of central control module, the analog node for being selected according to node selecting module, Xiang Suoxuan is sent
Control command；
The analog node includes:
Control command receiving module, the control command sent for receiving and executing the central control module；
Analog node radix library for setting the value range of analog node data, and is generated in analog node data
Analog node radix collection in value range；
Node radix generation module, the analog node radix for generating from analog node radix library are concentrated, and choose 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, analog node radix and root for being chosen according to node radix generation module
According to the analog node pseudo random number that node pseudo random number generation module generates, analog node data are generated, and are controlled to the experiment
Control server sends analog node data；
Wherein, the structure of the analog node data are as follows:
Analog node data=analog node radix+analog node pseudo random number.
Preferably, the node pseudo random number generation module includes:
Pseudo-random sequence generator, for generating analog node pseudo random number according to recursive sequence formula；
Wherein, the recursive sequence formula are as follows:
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 the latter analog node pseudo random number, and A, B and M are equal
For the preset constant of pseudo-random sequence generator, M represents the period of the recursive sequence formula and meets the following conditions:
(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 M is 4 multiple, A-1 is necessary for 4 multiple.
Preferably, the analog node further include:
Node radix sensor, for obtaining and conveying node detection data to the node radix generation module；
The node radix generation module further include:
Nodal test data determining device, for judging the received nodal test data whether in analog node data
In value range, if then setting analog node radix for the nodal test data.
Preferably, the experiment control server further include:
Data renewal time setting module, for setting data renewal time, timing updates analog node pseudo random number, from
And timing updates analog node data, the fluctuating change of the analog node digital simulation real node data；
Analog node data management library, the analog node data received for storage management.
Preferably, using the experimental method of the energy management experimental system of the analog real node data variation, packet
Include selection analog node process and analog node data generating procedure:
Selection analog node process include:
The type of device of step A1, the analog node measured needed for the selection of experiment control server and corresponding simulation；
Step A2, according to the analog node that step A1 is selected, experiment control server sends control to selected analog node
System order；
Step A3, analog node receive and execute the control command that the experiment control server is sent；
Analog node data generating procedure includes:
Step B1, analog node set the value range of analog node data；
Analog node base is arranged according to the value range of the step B1 analog node data set in step B2, analog node
Number；
Step B3, analog node generate analog node pseudo random number according to linear congruential method；
Step B4, according to the analog node radix that step B2 is arranged, and the analog node pseudorandom generated according to step B3
Number, analog node generates analog node data, and sends analog node data to the experiment control server；
Wherein, the structure of the analog node data are as follows:
Analog node data=analog node radix+analog node pseudo random number.
Preferably, analog node pseudo random number is generated according to linear congruential method, specifically included:
Analog node generates analog node pseudo random number according to recursive sequence formula；
The recursive sequence formula are as follows:
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 the latter analog node pseudo random number, and A, B and M are equal
For constant, M represents the period of the recursive sequence formula and meets the following conditions:
(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 M is 4 multiple, A-1 is necessary for 4 multiple.
Preferably, analog node radix setting method, specifically includes:
According to the value range of the analog node data of step B1 setting, analog node establishes taking in analog node data
The analog node radix collection being worth in range, and concentrated from analog node radix and choose an analog node radix；
Alternatively, analog node obtains nodal test data by sensor, and whether judge the nodal test data obtained
In the value range of analog node data, if then setting analog node radix for the nodal test data.
Preferably, further include analog node data updating process:
Step C1, experiment control server settings data renewal time；
Step C2, according to the data renewal time that step C1 is set, analog node timing updates analog node pseudo random number,
To which timing updates analog node data, the fluctuating change of the analog node digital simulation real node data；
Step C3, the analog node data that experiment control server storage management receives.
The Internet of Things thought that the energy management experimental system is interconnected based on object object, the one or more electric devices of simulation,
The energy source devices such as water supply device, air-conditioning device and pressure apparatus are mutually related the enterprise energy ecosystem, realize multi-energy data
It is shared, feasible program is provided and the association mutation analysis to multi-energy data for the energy-saving and emission-reduction of enterprise.It is arranged multiple described
Analog node simulates the fluctuating change of the real node data of various energy source devices, such as ammeter, water meter, humiture instrument respectively
With the node data variation of the energy measurements instrument such as pressure gauge.The pseudo-random sequence generator is raw using the linear congruential method
At analog node pseudo random number, formation speed is fast, guarantees that analog node data are to become around a node radix in a small range
Change, multi-energy data variation in the enterprise energy ecosystem of fitting normal table operation.
Detailed description of the invention
The present invention will be further described for attached drawing, but the content in attached drawing does not constitute any limitation of the invention.
Fig. 1 is the energy management experimental system structural schematic diagram of the one of embodiment of the present invention；
Fig. 2 is the energy management experimental system module relation diagram of the one of embodiment of the present invention；
Fig. 3 is the energy management experimental system control flow chart of the one of embodiment of the present invention.
Wherein: experiment control server 1；Analog node 2；Central control module 11；Node selecting module 12；Control command
Receiving module 21；Analog node radix library 22；Node radix generation module 23；Node pseudo random number generation module 24；Simulation section
Point data generation module 25；Pseudo-random sequence generator 241；Node radix sensor 26；Data renewal time setting module 13；
Analog node data management library 14.
Specific embodiment
To further illustrate the technical scheme of the present invention below with reference to the accompanying drawings and specific embodiments.
The energy management experimental system of the analog real node data variation of the present embodiment, as shown in Figure 1, including experiment
Control server 1 and multiple analog nodes 2, the experiment control server 1 and multiple analog nodes 2 are built into simulation energy prison
Network is controlled,
As shown in Fig. 2, the experiment control server 1 includes:
Node selecting module 12 is selected for the analog node 2 of measurement needed for selecting and according to selected analog node 2
The type of simulator；
Central control module 11, the analog node 2 for being selected according to node selecting module 12, the analog node of Xiang Suoxuan
2 send control command；
The analog node 2 includes:
Control command receiving module 21, the control command sent for receiving and executing the central control module 11；
Analog node radix library 22 for setting the value range of analog node data, and is generated in analog node data
Value range in analog node radix collection；
Node radix generation module 23, the analog node radix for generating from analog node radix library 22 are concentrated, are chosen
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, the analog node radix for being 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, analog node data are generated, and to described
Experiment control server 1 sends analog node data；
Wherein, the structure of the analog node data are as follows:
Analog node data=analog node radix+analog node pseudo random number.
The Internet of Things thought that the energy management experimental system of the analog real node data variation is interconnected based on object object,
The energy source devices such as one or more electric devices, water supply device, air-conditioning device and pressure apparatus are simulated to be mutually related enterprise's energy
The source ecosystem is realized that multi-energy data is shared, is mentioned by the energy-saving and emission-reduction that the association mutation analysis to multi-energy data is enterprise
For feasible program.The energy management experimental system includes experiment control server 1 and multiple analog nodes 2, the simulation section
Point 2 generates analog node data, and settable multiple analog nodes 2 simulate the real node data of various energy source devices respectively
The energy measurements instrument such as fluctuating change, such as ammeter, water meter, humiture instrument and pressure gauge node data variation；The reality
Control server 1 is tested for selecting and controlling each analog node 2；Analog node radix library 22 is according to corresponding energy meter
Amount instrument measurement range and the value range for presetting analog node data, all analog node data of generation must be in institute
In the value range for stating analog node data, to guarantee the validity of analog node data.
In use, user selects required analog node 2, such as the analog node of ammeter by experiment control server 1
2；Then, user chooses an analog node base from the analog node radix collection by the node radix generation module 23
Number；Then analog node pseudo random number is generated according to linear congruential method by the node pseudo random number generation module 24；Finally,
The analog node pseudo random number is added to analog node radix to generate mould by the analog node data generation module 25
Quasi- node data, and analog node data are sent to the experiment control server 1.The analog real node data variation
Energy management experimental system simulation real node data fluctuating change, to guarantee the true of the energy management experimental system
It is real accurate.
Preferably, the 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, the recursive sequence formula are as follows:
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 the latter analog node pseudo random number, and A, B and M are equal
For the preset constant of pseudo-random sequence generator 241, M represents the period of the recursive sequence formula and meets the following conditions:
(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 M is 4 multiple, A-1 is necessary for 4 multiple.
The pseudo-random sequence generator 241 is used to generate analog node pseudo random number according to recursive sequence formula, i.e., logical
It crosses and linear operation and modulus is carried out to obtain next analog node pseudo random number to previous analog node pseudo random number.Institute
It states pseudo-random sequence generator 241 and generates analog node pseudo random number using the linear congruential method, formation speed is fast, generation
Analog node pseudo random number is uniformly distributed and its randomness is high, then enables the more preferable simulation real node of analog node data
The fluctuating change of data.It should be noted that x (0)=0 is protected so that the analog node pseudo random number amplitude of variation generated is little
Demonstrate,proving analog node data is to change around a node radix in a small range, the enterprise energy ecology of fitting normal table operation
Multi-energy data changes in system.
Preferably, the analog node 2 further include:
Node radix sensor 26, for obtaining and conveying node detection data to the node radix generation module 23；
The node radix generation module 23 further include:
Nodal test data determining device, for judging the received nodal test data whether in analog node data
In value range, if then setting analog node radix for the nodal test data.
The analog node 2 further includes node radix sensor 26, and user can voluntarily select through node radix sensor
26 obtain nodal test data to detect, and the analog node radix that the node radix generation module 23 is arranged is more true
It is real, then make the analog node data generated more true and reliable.
Preferably, the experiment control server 1 further include:
Data renewal time setting module 13, for setting data renewal time, timing updates analog node pseudo random number,
To which timing updates analog node data, the fluctuating change of the analog node digital simulation real node data；
Analog node data management library 14, the analog node data received for storage management.
Since real node data are around a node radix in the enterprise energy ecosystem that normal table is run
Fluctuation up and down in a certain range, therefore the data renewal time setting module 13 is set, analog node is updated by timing
Pseudo random number, makes the fluctuating change of the analog node digital simulation real node data, to guarantee energy management experiment system
The true and accurate of system.The analog node data received are stored and are classified pipe by analog node data management library 14
Reason, produces various analog node data analytical tables, is convenient for customer analysis data, provides support for design energy-saving and emission-reduction scheme.
Preferably, using the experimental method of the energy management experimental system of the analog real node data variation, such as
Shown in Fig. 3, including selection analog node process and analog node data generating procedure:
Selection analog node process include:
Step A1, the type of device of analog node 2 and corresponding simulation that experiment control server 1 measures needed for selecting；
Step A2, according to the analog node 2 that step A1 is selected, experiment control server 1 is sent to selected analog node 2
Control command；
Step A3, analog node 2 receive and execute the control command that the experiment control server 1 is sent；
Analog node data generating procedure includes:
Step B1, analog node 2 set the value range of analog node data；
Analog node base is arranged according to the value range of the step B1 analog node data set in step B2, analog node 2
Number；
Step B3, analog node 2 generate analog node pseudo random number according to linear congruential method；
Step B4, according to the analog node radix that step B2 is arranged, and the analog node pseudorandom generated according to step B3
Number, analog node 2 generates analog node data, and sends analog node data to the experiment control server 1；
Wherein, the structure of the analog node data are as follows:
Analog node data=analog node radix+analog node pseudo random number.
The energy management experimental method of the analog real node data variation is used to test for Internet of Things energy management
Analog node data are provided, the fluctuating change of the analog node digital simulation real node data improves the authenticity of experiment
And reliability.Internet of Things energy management experiment, based on the Internet of Things thought of object object interconnection, the one or more electric devices of simulation,
The energy source devices such as water supply device, air-conditioning device and pressure apparatus are mutually related the enterprise energy ecosystem, realize multi-energy data
It is shared, feasible program is provided and the association mutation analysis to multi-energy data for the energy-saving and emission-reduction of enterprise.And the Internet of Things energy
The key of management misconduct is that analog goes out the fluctuating change of the real node data of various energy source devices, runs in normal table
The enterprise energy ecosystem in real node data be around a node radix in a certain range up and down fluctuation.
The analog node data creation method generates analog node pseudo random number according to linear congruential method, and is added
To the analog node radix to form analog node data, analog node pseudo random number is updated by timing, makes the simulation
Node data simulates the fluctuating change of real node data, to guarantee the true and accurate of Internet of Things energy management experiment.It can mould
Draw up the energy such as the fluctuating change, such as ammeter, water meter, humiture instrument and pressure gauge of real node data of various energy source devices
The node data of measuring instrument changes.The value range of the analog node data is according to corresponding energy measurement instrument measurement
Range and set, all analog node data of generation must be in the value range of the analog node data, to protect
Demonstrate,prove the validity of analog node data.
Preferably, analog node pseudo random number is generated according to linear congruential method, specifically included:
Analog node 2 generates analog node pseudo random number according to recursive sequence formula；
The recursive sequence formula are as follows:
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 the latter analog node pseudo random number, and A, B and M are equal
For constant, M represents the period of the recursive sequence formula and meets the following conditions:
(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 M is 4 multiple, A-1 is necessary for 4 multiple.
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 and modulus to obtain next analog node pseudo random number.It is raw using the linear congruential method
At 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, after
And enable the fluctuating change of the more preferable simulation real node data of analog node data.It should be noted that x (0)=0, thus
The analog node pseudo random number amplitude of variation of generation is little, guarantees that analog node data are around a node radix in small range
Interior variation is bonded multi-energy data variation in the enterprise energy ecosystem of normal table operation.
Preferably, analog node radix setting method, specifically includes:
According to the value range of the analog node data of step B1 setting, analog node 2 is established in analog node data
Analog node radix collection in value range, and concentrated from analog node radix and choose an analog node radix；
Alternatively, analog node 2 obtains nodal test data by sensor, and whether judge the nodal test data obtained
In the value range of analog node data, if then setting analog node radix for the nodal test data.
The analog node radix can be concentrated from the analog node radix and be chosen, and the analog node radix is one solid
Definite value remains unchanged in the updating, i.e., analog node data are by fixed analog node cardinal sum one simulation changed
Node pseudo random number composition.The analog node radix can also detect acquisition by sensor, make the simulation section of setting
Point radix is more true, then makes the analog node data generated more true and reliable.
Preferably, as shown in figure 3, further including analog node data updating process:
Step C1, experiment control server 1 set data renewal time；
Step C2, according to the data renewal time that step C1 is set, analog node 2 periodically updates analog node pseudorandom
Number, so that timing updates analog node data, the fluctuating change of the analog node digital simulation real node data；
Step C3, the analog node data that 1 storage management of experiment control server receives.
Since real node data are around a node radix in the enterprise energy ecosystem that normal table is run
Fluctuation up and down in a certain range, therefore analog node data updating process is set, analog node pseudorandom is updated by timing
Number, makes the fluctuating change of the analog node digital simulation real node data, to guarantee the true of energy management experimental method
It is real accurate.The analog node data received are carried out storage and Classification Management by the experiment control server 1, are produced various
Analog node data analytical table is convenient for customer analysis data, provides support for design energy-saving and emission-reduction scheme.
The technical principle of the invention is described above in combination with a specific embodiment.These descriptions are intended merely to explain of the invention
Principle, and shall not be construed in any way as a limitation of the scope of protection of the invention.Based on the explanation herein, the technology of this field
Personnel can associate with other specific embodiments of the invention without creative labor, these modes are fallen within
Within protection scope of the present invention.
Claims (4)
1. a kind of energy management experimental system of analog real node data variation, including experiment control server and multiple moulds
Quasi- node, the experiment control server and multiple analog nodes are built into simulation energy monitor network, which is characterized in that described
Experiment control server includes:
Node selecting module selects simulator for the analog node of measurement needed for selecting and according to selected analog node
Type；
The analog node of central control module, the analog node for being selected according to node selecting module, Xiang Suoxuan sends control
Order；
The analog node includes:
Control command receiving module, the control command sent for receiving and executing the central control module；
Analog node radix library for setting the value range of analog node data, and generates the value in analog node data
Analog node radix collection in range；
Node radix generation module, the analog node radix for generating from analog node radix library are concentrated, and a simulation is chosen
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, the analog node radix for being chosen according to node radix generation module, and according to section
The analog node pseudo random number that point pseudo random number generation module generates generates analog node data, and takes to the experiment control
Business device sends analog node data；
Wherein, the structure of the analog node data are as follows:
Analog node data=analog node radix+analog node pseudo random number；
The node pseudo random number generation module includes:
Pseudo-random sequence generator, for generating analog node pseudo random number according to recursive sequence formula；
Wherein, the recursive sequence formula are as follows:
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 the latter analog node pseudo random number, and A, B and M are puppet
The preset constant of random sequence generator, M represent the period of the recursive sequence formula and meet the following conditions:
(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 M is 4 multiple, A-1 is necessary for 4 multiple；
X (0)=0；
The analog node further include:
Node radix sensor, for obtaining and conveying node detection data to the node radix generation module；
The node radix generation module further include:
Nodal test data determining device, for judge the received nodal test data whether analog node data value
In range, if then setting analog node radix for the nodal test data.
2. the energy management experimental system of analog real node data variation according to claim 1, which is characterized in that
The experiment control server further include:
Data renewal time setting module, for setting data renewal time, timing updates analog node pseudo random number, depending on
Shi Gengxin analog node data, the fluctuating change of the analog node digital simulation real node data；
Analog node data management library, the analog node data received for storage management.
3. the experiment side of the energy management experimental system using analog real node data variation described in as claimed in claim 1 or 22
Method, which is characterized in that including selection analog node process and analog node data generating procedure:
Selection analog node process include:
The type of device of step A1, the analog node measured needed for the selection of experiment control server and corresponding simulation；
Step A2, according to the analog node that step A1 is selected, experiment control server sends control life to selected analog node
It enables；
Step A3, analog node receive and execute the control command that the experiment control server is sent；
Analog node data generating procedure includes:
Step B1, analog node set the value range of analog node data；
Analog node radix is arranged according to the value range of the step B1 analog node data set in step B2, analog node；
Step B3, analog node generate analog node pseudo random number according to linear congruential method；
Step B4, according to the analog node radix that step B2 is arranged, and the analog node pseudo random number generated according to step B3, mould
Quasi- node generates analog node data, and sends analog node data to the experiment control server；
Wherein, the structure of the analog node data are as follows:
Analog node data=analog node radix+analog node pseudo random number；
Analog node pseudo random number is generated according to linear congruential method, is specifically included:
Analog node generates analog node pseudo random number according to recursive sequence formula；
The recursive sequence formula are as follows:
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 the latter analog node pseudo random number, and A, B and M are normal
Number, M represent the period of the recursive sequence formula and meet the following conditions:
(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 M is 4 multiple, A-1 is necessary for 4 multiple；
X (0)=0；
Analog node radix setting method, specifically includes:
According to the value range of the analog node data of step B1 setting, analog node establishes the value model in analog node data
Interior analog node radix collection is enclosed, and is concentrated from analog node radix and chooses an analog node radix；
Alternatively, analog node obtains nodal test data by sensor, and judge the nodal test data obtained whether in mould
In the value range of quasi- node data, if then setting analog node radix for the nodal test data.
4. experimental method according to claim 3, which is characterized in that further include analog node data updating process:
Step C1, experiment control server settings data renewal time；
Step C2, according to the data renewal time that step C1 is set, analog node timing updates analog node pseudo random number, thus
Timing updates analog node data, the fluctuating change of the analog node digital simulation real node data；
Step C3, the analog node data that experiment control server storage management 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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