CN109726896A - The calculation method and device of energy efficiency, storage medium, electronic device - Google Patents
The calculation method and device of energy efficiency, storage medium, electronic device Download PDFInfo
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- CN109726896A CN109726896A CN201811479190.4A CN201811479190A CN109726896A CN 109726896 A CN109726896 A CN 109726896A CN 201811479190 A CN201811479190 A CN 201811479190A CN 109726896 A CN109726896 A CN 109726896A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The present invention provides a kind of calculation method of energy efficiency and device, storage medium, electronic devices, wherein, this method comprises: obtaining the operation data of the target energy, wherein, the operation data includes: rate of load condensate, consuming energy amount, the production quantity of energy of the consuming energy volume production out, wherein, the rate of load condensate is percentage of the target energy between the average load and maximum load of cycle time；Classify according to the rate of load condensate to the consuming energy amount and the production quantity of energy；Energy valid value corresponding with rate of load condensate is calculated according to the consuming energy amount and the production quantity of energy.Through the invention, by will valid value be associated with rate of load condensate, consider influence of the rate of load condensate dimension in process of production to energy valid value, the operation of energy source station can be more accurately instructed according to rate of load condensate, solves the technical issues of energy valid value that cannot be calculated under different load rate in the prior art.
Description
Technical field
The present invention relates to the communications fields, and the calculation method and device, storage in particular to a kind of energy efficiency are situated between
Matter, electronic device.
Background technique
In the prior art, energy efficiency is energy conversion efficiency, and Energy Efficiency Ratio is bigger, and the energy of saving is more.Increasingly
Environmental protection and energy-efficient today are pursued, can accurately understand and predict energy efficiency, be that numerous enterprises are of interest.
In the prior art, current AI (artificial intelligence) intelligent algorithm is led in the application of every field than wide in the energy
The application in domain is also gradually risen.Optimizing scheduling by general energy station of the AI algorithm to operation is algorithm engineering teacher institute all the time
The final goal of pursuit, but the realization of algorithm is all confined to ideal state, has ignored equipment in actual moving process
The various actual conditions encountered cause equipment that can not be run according to set AI Optimization scheduling algorithm.Such as the general combustion that can stand
The operation of gas steam boiler is exactly one of exemplary apparatus, currently since the actual operation operating condition of gas-steam boiler is unable to reach AI
The perfect condition of intelligent algorithm Optimized Operation, so the gas-steam boiler efficiency based on time dimension in algorithm is calculated and calculated
Method is unable to reach the function that should have, and differs larger with truthful data by its prediction and the energy valid value calculated.
For the above-mentioned problems in the prior art, at present it is not yet found that the solution of effect.
Summary of the invention
The embodiment of the invention provides a kind of calculation method of energy efficiency and device, storage medium, electronic devices.
According to one embodiment of present invention, a kind of calculation method of energy efficiency is provided, comprising:
Obtain the operation data of the target energy, wherein the operation data includes: rate of load condensate, consuming energy amount, described disappears
Take the production quantity of energy of quantity of energy output, wherein the rate of load condensate be the target energy cycle time average load with
Percentage between maximum load；
Classify according to the rate of load condensate to the consuming energy amount and the production quantity of energy；
Energy valid value corresponding with rate of load condensate is calculated according to the consuming energy amount and the production quantity of energy.
Optionally, carrying out classification to the consuming energy amount and the production quantity of energy according to the rate of load condensate includes:
Rate of load condensate is divided according to pre- fixed step size, obtains multiple load settings；
Determine the load setting of each production time；
Consuming energy amount in the production time for belonging to either objective load setting is classified as corresponding to production quantity of energy
Target consumer quantity of energy and target produce quantity of energy.
Optionally, energy valid value packet corresponding with rate of load condensate is calculated according to the consuming energy amount and the production quantity of energy
It includes:
It is obtained for either objective load setting by target production quantity of energy divided by the target consumer quantity of energy
Quotient；
The quotient is determined as energy valid value of the target energy under the target load rate.
Optionally, after the operation data for obtaining the target energy, the method also includes:
Data cleansing is carried out to the operation data.
Optionally, according to the consuming energy amount and the production quantity of energy calculate energy valid value corresponding with rate of load condensate it
Afterwards, the method also includes:
It generates using the rate of load condensate as independent variable, the energy valid value is the curve graph of dependent variable.
Optionally, according to the consuming energy amount and the production quantity of energy calculate energy valid value corresponding with rate of load condensate it
Afterwards, the method also includes:
Using the rate of load condensate as input label, the energy valid value trains artificial intelligence model as output label,
In, the artificial intelligence model is used to predict the energy valid value of the target energy.
Optionally, the target energy includes following one: steam energy, the heating energy.
According to another embodiment of the invention, a kind of computing device of energy efficiency is provided, comprising:
Module is obtained, for obtaining the operation data of the target energy, wherein the operation data includes: rate of load condensate, consumption
The production quantity of energy that quantity of energy, the consuming energy volume production go out, wherein the rate of load condensate is the target energy in cycle time
Average load and maximum load between percentage；
Categorization module, for classifying according to the rate of load condensate to the consuming energy amount and the production quantity of energy；
Computing module, for calculating efficiency corresponding with rate of load condensate according to the consuming energy amount and the production quantity of energy
Value.
Optionally, the categorization module includes:
Division unit obtains multiple load settings for dividing rate of load condensate according to pre- fixed step size；
Determination unit, for determining the load setting of each production time；
Taxon, the consuming energy amount and the production energy in production time for either objective load setting will to be belonged to
Amount is classified as corresponding target consumer quantity of energy and target production quantity of energy.
Optionally, the computing module includes:
Computing unit disappears target production quantity of energy divided by the target for being directed to either objective load setting
Take quantity of energy, obtains quotient；
Determination unit, for the quotient to be determined as energy valid value of the target energy under the target load rate.
Optionally, described device further include: cleaning module, for obtaining the operation number of the target energy in the acquisition module
According to later, data cleansing is carried out to the operation data.
Optionally, described device further include:
Generation module, for calculating and bearing according to the consuming energy amount and the production quantity of energy in the computing module
It after the corresponding energy valid value of lotus rate, generates using the rate of load condensate as independent variable, the energy valid value is the curve graph of dependent variable.
Optionally, described device further include:
Training module, for calculating and bearing according to the consuming energy amount and the production quantity of energy in the computing module
After the corresponding energy valid value of lotus rate, using the rate of load condensate as input label, for the energy valid value as output label, training is artificial
Model of mind, wherein the artificial intelligence model is used to predict the energy valid value of the target energy.
Optionally, the target energy includes following one: steam energy, the heating energy.
According to still another embodiment of the invention, a kind of storage medium is additionally provided, meter is stored in the storage medium
Calculation machine program, wherein the computer program is arranged to execute the step in any of the above-described embodiment of the method when operation.
According to still another embodiment of the invention, a kind of electronic device, including memory and processor are additionally provided, it is described
Computer program is stored in memory, the processor is arranged to run the computer program to execute any of the above-described
Step in embodiment of the method.
Through the invention, the operation data of the target energy is obtained, wherein the operation data includes: rate of load condensate, consumption energy
The production quantity of energy that source amount, the consuming energy volume production go out, and then according to the rate of load condensate to the consuming energy amount and described
Production quantity of energy is classified, and calculates efficiency corresponding with rate of load condensate according to the consuming energy amount and the production quantity of energy
Value, by will valid value be associated with rate of load condensate, the influence to energy valid value in process of production of consideration rate of load condensate dimension can basis
Rate of load condensate more accurately instructs the operation of energy source station, solves the energy valid value that cannot be calculated under different load rate in the prior art
The technical issues of.
Detailed description of the invention
The drawings described herein are used to provide a further understanding of the present invention, constitutes part of this application, this hair
Bright illustrative embodiments and their description are used to explain the present invention, and are not constituted improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is a kind of hardware block diagram of the calculating network terminal of energy efficiency of the embodiment of the present invention；
Fig. 2 is the flow chart of the calculation method of energy efficiency according to an embodiment of the present invention；
Fig. 3 is the flow diagram of the embodiment of the present invention；
Fig. 4 is the efficiency curve graph of the embodiment of the present invention；
Fig. 5 is the structural block diagram of the computing device of energy efficiency according to an embodiment of the present invention.
Specific embodiment
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention
Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only
The embodiment of a part of the invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people
The model that the present invention protects all should belong in member's every other embodiment obtained without making creative work
It encloses.
It should be noted that description and claims of this specification and term " first " in above-mentioned attached drawing, "
Two " etc. be to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should be understood that using in this way
Data be interchangeable under appropriate circumstances, so as to the embodiment of the present invention described herein can in addition to illustrating herein or
Sequence other than those of description is implemented.In addition, term " includes " and " having " and their any deformation, it is intended that cover
Cover it is non-exclusive include, for example, the process, method, system, product or equipment for containing a series of steps or units are not necessarily limited to
Step or unit those of is clearly listed, but may include be not clearly listed or for these process, methods, product
Or other step or units that equipment is intrinsic.
Embodiment 1
Embodiment of the method provided by the embodiment of the present application one can in server, the network terminal, terminal or
It is executed in similar arithmetic unit.For operating on the network terminal, Fig. 1 is a kind of energy efficiency of the embodiment of the present invention
Calculate the hardware block diagram of the network terminal.As shown in Figure 1, Network Termination #1 0 may include one or more (only shows in Fig. 1
One) (processor 102 can include but is not limited to the place of Micro-processor MCV or programmable logic device FPGA etc. to processor 102
Manage device) and memory 104 for storing data, optionally, the above-mentioned network terminal can also include for communication function
Transmission device 106 and input-output equipment 108.It will appreciated by the skilled person that structure shown in FIG. 1 is only to show
Meaning, does not cause to limit to the structure of the above-mentioned network terminal.For example, Network Termination #1 0 may also include it is more than shown in Fig. 1
Perhaps less component or with the configuration different from shown in Fig. 1.
Memory 104 can be used for storing computer program, for example, the software program and module of application software, such as this hair
The corresponding computer program of calculation method of energy efficiency in bright embodiment, processor 102 are stored in memory by operation
Computer program in 104 realizes above-mentioned method thereby executing various function application and data processing.Memory 104
May include high speed random access memory, may also include nonvolatile memory, as one or more magnetic storage device, flash memory,
Or other non-volatile solid state memories.In some instances, memory 104 can further comprise relative to processor 102
Remotely located memory, these remote memories can pass through network connection to Network Termination #1 0.The example packet of above-mentioned network
Include but be not limited to internet, intranet, local area network, mobile radio communication and combinations thereof.
Transmitting device 106 is used to that data to be received or sent via a network.Above-mentioned network specific example may include
The wireless network that the communication providers of Network Termination #1 0 provide.In an example, transmitting device 106 includes a Network adaptation
Device (Network Interface Controller, referred to as NIC), can be connected by base station with other network equipments to
It can be communicated with internet.In an example, transmitting device 106 can for radio frequency (Radio Frequency, referred to as
RF) module is used to wirelessly be communicated with internet.
A kind of calculation method of energy efficiency is provided in the present embodiment, and Fig. 2 is the energy according to an embodiment of the present invention
The flow chart of the calculation method of efficiency, as shown in Fig. 2, the process includes the following steps:
Step S202 obtains the operation data of the target energy, wherein the operation data includes: rate of load condensate, consuming energy
The production quantity of energy that amount, the consuming energy volume production go out, wherein the rate of load condensate is the target energy putting down in cycle time
Percentage between equal load and maximum load；
Step S204 classifies to the consuming energy amount and the production quantity of energy according to the rate of load condensate；
Step S206 calculates energy valid value corresponding with rate of load condensate according to the consuming energy amount and the production quantity of energy.
Optionally, after the corresponding relationship between rate of load condensate and energy valid value is calculated, it can calculate or predict according to rate of load condensate
It can valid value.
Through the above steps, the operation data of the target energy is obtained, wherein the operation data includes: rate of load condensate, consumption
The production quantity of energy that quantity of energy, the consuming energy volume production go out, and then according to the rate of load condensate to the consuming energy amount and institute
It states production quantity of energy to classify, efficiency corresponding with rate of load condensate is calculated according to the consuming energy amount and the production quantity of energy
Value, by will valid value be associated with rate of load condensate, the influence to energy valid value in process of production of consideration rate of load condensate dimension can basis
Rate of load condensate more accurately instructs the operation of energy source station, solves the energy valid value that cannot be calculated under different load rate in the prior art
The technical issues of.
Optionally, the executing subject of above-mentioned steps can be data processing equipment, and server, terminal etc. specifically can be
Processor, algoritic module etc., but not limited to this.
The application scenarios of the present embodiment can be applied in the scene that the energy uses, and the target energy specifically can be steam
The energy, the heating energy are also possible to the expendables energy such as electricity, gas and water.The energy valid value of the present embodiment refers to the conversion effect of the energy
Rate, Energy Efficiency Ratio is bigger, and the utilization rate of the energy is higher, and the energy of saving is more, is illustrated so that the target energy is steam as an example,
In boiler manfacturing steam energy, need to consume combustion gas, coal, the consumption such as electric light by the conversion of boiler, is translated into steam
The energy, if consuming energy amount is 100 joules (joule, or be abbreviated as J) within certain production time, production quantity of energy is
60 joules, then its energy valid value is 60%.
In the present embodiment, classification packet is carried out to the consuming energy amount and the production quantity of energy according to the rate of load condensate
It includes:
S11 divides rate of load condensate according to pre- fixed step size, obtains multiple load settings；
The present embodiment, for sample, for cycle time calculated average load with 1 hour, rate of load condensate in 30 days with 30 days
Have respectively: 50%, 54%, 70%, 77%, 82%, 98%, 100%, 120%, pre- fixed step size is that 10% (pre- fixed step size can be with
Divided according to the actual range of rate of load condensate, when range is smaller, can be set it is smaller, such as 0.1%, this can be according to load
Rate divides the influence degree of energy valid value), 7 load settings are obtained, are respectively: 50%~60%, 60%~70%, 70%
~80%, 80%~90%, 90%~100%, 100%~110%, 110%~120%.
S12 determines the load setting of each production time；The actual load for determining 30 days each production times, judges it
Which load setting fallen in, if the rate of load condensate in the 3rd~22 hour the 2nd day is 54%, fall in the 1st load setting (50%~
60%), the rate of load condensate in the 5th~10 hour the 8th day is 82%, falls in the 4th load setting (80%~90%) etc..
Consuming energy amount in the production time for belonging to either objective load setting is classified as by S13 with production quantity of energy
Corresponding target consumer quantity of energy and target produce quantity of energy.
The target load section of the present embodiment can be any load setting, in all production times, all loading zones
Between under target consumer quantity of energy and target production quantity of energy classify, every a kind of corresponding load setting, such as the 2nd day the
Rate of load condensate in 3~22 hours is 54%, the 1st load setting, and consuming energy amount and production quantity of energy are respectively as follows: 2K coke
Ear, then is classified as being corresponding with consuming energy amount and production energy when rate of load condensate is the 1st load setting by 1.5K joules
Source amount, is respectively as follows: 2K joules, 1.5K joules.
In the present embodiment, efficiency corresponding with rate of load condensate is calculated according to the consuming energy amount and the production quantity of energy
Value includes:, by target production quantity of energy divided by the target consumer quantity of energy, to obtain quotient for either objective load setting
Value；The quotient is determined as energy valid value of the target energy under the target load rate.
After classifying according to the rate of load condensate to the consuming energy amount and the production quantity of energy, and then calculate
Energy valid value under each rate of load condensate (section), for any load setting.Influence due to rate of load condensate to efficiency, is calculated
It is very likely that there is differences for energy valid value.
Optionally, after the operation data for obtaining the target energy, further includes: it is clear to carry out data to the operation data
It washes.The present embodiment obtains operation data and can acquire from gauge table, is manually entered, and obtains and calculate based on pre-defined algorithm
It arrives, by data cleansing, it can be found that and correcting identifiable mistake in operation data, including inspection data consistency, processing
Invalid value and missing values, deleting duplicated data etc. reduce data source to the shadow of result to obtain relatively accurate data source
It rings.
Optionally, according to the consuming energy amount and the production quantity of energy calculate energy valid value corresponding with rate of load condensate it
Afterwards, further includes: generate using the rate of load condensate as independent variable, the energy valid value is the curve graph of dependent variable.Such as in two-dimensional coordinate,
Rate of load condensate (x) indicates that x-axis, energy valid value (y) indicate that y-axis, graphical representation, energy valid value change with the variation of rate of load condensate.Certainly,
The present embodiment considers that the factor of other influences energy valid value is in the ideal situation, or to be consistent other than rate of load condensate, only
Consider influence of the rate of load condensate to energy valid value.
Fig. 3 is the flow diagram of the embodiment of the present invention, and in one example, the target energy is combustion gas, is turned using boiler
It changes combustion gas to obtain, predetermined step size settings are 0.1%, comprising:
The first step runs the operation data that big data extracts gas-steam boiler by equipment；
Second step cleans the data in equipment running process, removes abnormal data；
Third step, according to rate of load condensate step-length 0.1% to the air consumption and producing steam of gas-steam boiler under different load rate
Amount is sorted out；
4th step, according to formula: efficiency=producing steam amount/consumption gas quantity calculates the efficiency of gas-steam boiler；
5th step averages to multiple energy valid value under same rate of load condensate, average value is denoted as the load value
It can valid value；
6th step is drawn efficiency curve, is illustrated in fig. 4 shown below.Fig. 4 is the efficiency curve graph of the embodiment of the present invention, including 0~
100% rate of load condensate, y-axis are the energy valid value of combustion gas.Two curves respectively correspond two boilers, it can thus be seen that can valid value
With rate of load condensate there are certain positive correlation, rate of load condensate is bigger, and efficiency is higher.
Optionally, according to the consuming energy amount and the production quantity of energy calculate energy valid value corresponding with rate of load condensate it
Afterwards, further includes: using the rate of load condensate as input label, the energy valid value is as output label, training artificial intelligence (AI) mould
Type, wherein the artificial intelligence model is used to predict the energy valid value of the target energy.Due in the prior art, such as target energy
Source is combustion gas, and by fuel gas alternative, AI model is unable to reach institute based on the gas-steam boiler efficiency computational algorithm of time dimension
The function that should have, the present embodiment consider its influence to energy valid value, pass through sample by adding rate of load condensate operator in AI model
Collect (input label is in addition to rate of load condensate, it is also contemplated that time, temperature, air pressure etc.), training AI model, available more acurrate intelligence
The AI model of energy.
It should be noted that for the various method embodiments described above, for simple description, therefore, it is stated as a series of
Combination of actions, but those skilled in the art should understand that, the present invention is not limited by the sequence of acts described because
According to the present invention, some steps may be performed in other sequences or simultaneously.Secondly, those skilled in the art should also know
It knows, the embodiments described in the specification are all preferred embodiments, and related actions and modules is not necessarily of the invention
It is necessary.
Through the above description of the embodiments, those skilled in the art can be understood that according to above-mentioned implementation
The method of example can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but it is very much
In the case of the former be more preferably embodiment.Based on this understanding, technical solution of the present invention is substantially in other words to existing
The part that technology contributes can be embodied in the form of software products, which is stored in a storage
In medium (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that a terminal device (can be mobile phone, calculate
Machine, server or network equipment etc.) method that executes each embodiment of the present invention.
Embodiment 2
Additionally provide a kind of computing device of energy efficiency in the present embodiment, the device for realizing above-described embodiment and
Preferred embodiment, the descriptions that have already been made will not be repeated.As used below, predetermined function may be implemented in term " module "
The combination of the software and/or hardware of energy.It is hard although device described in following embodiment is preferably realized with software
The realization of the combination of part or software and hardware is also that may and be contemplated.
Fig. 5 is the structural block diagram of the computing device of energy efficiency according to an embodiment of the present invention, as shown in figure 5, the device
It include: to obtain module 50, categorization module 52, computing module 54, wherein
Module 50 is obtained, for obtaining the operation data of the target energy, wherein the operation data includes: rate of load condensate, disappears
Take quantity of energy, the production quantity of energy that the consuming energy volume production goes out, wherein the rate of load condensate is the target energy at the period
Between average load and maximum load between percentage；
Categorization module 52, for dividing according to the rate of load condensate the consuming energy amount and the production quantity of energy
Class；
Computing module 54, for calculating energy corresponding with rate of load condensate according to the consuming energy amount and the production quantity of energy
Valid value.
Optionally, the categorization module includes: division unit, for dividing rate of load condensate according to pre- fixed step size, is obtained multiple
Load setting；Determination unit, for determining the load setting of each production time；Taxon, for either objective will to be belonged to
Consuming energy amount and production quantity of energy in the production time of load setting are classified as corresponding target consumer quantity of energy and target
Produce quantity of energy.
Optionally, the computing module includes: computing unit, for being directed to either objective load setting, by the target
Quantity of energy is produced divided by the target consumer quantity of energy, obtains quotient；Determination unit, for the quotient to be determined as the mesh
Mark energy valid value of the energy under the target load rate.
Optionally, described device further include: cleaning module, for obtaining the operation number of the target energy in the acquisition module
According to later, data cleansing is carried out to the operation data.
Optionally, described device further include: generation module, for the computing module according to the consuming energy amount and
After the production quantity of energy calculates energy valid value corresponding with rate of load condensate, generate using the rate of load condensate as independent variable, the efficiency
Value is the curve graph of dependent variable.
Optionally, described device further include: training module, for the computing module according to the consuming energy amount and
After the production quantity of energy calculates energy valid value corresponding with rate of load condensate, using the rate of load condensate as input label, the efficiency
Value is used as output label, training artificial intelligence model, wherein the artificial intelligence model is used to predict the energy of the target energy
Valid value.
Optionally, the target energy includes following one: steam energy, the heating energy.
It should be noted that above-mentioned modules can be realized by software or hardware, for the latter, Ke Yitong
Following manner realization is crossed, but not limited to this: above-mentioned module is respectively positioned in same processor；Alternatively, above-mentioned modules are with any
Combined form is located in different processors.
Embodiment 3
The embodiments of the present invention also provide a kind of storage medium, computer program is stored in the storage medium, wherein
The computer program is arranged to execute the step in any of the above-described embodiment of the method when operation.
Optionally, in the present embodiment, above-mentioned storage medium can be set to store by executing based on following steps
Calculation machine program:
S1 obtains the operation data of the target energy, wherein the operation data includes: rate of load condensate, consuming energy amount, institute
State the production quantity of energy that consuming energy volume production goes out, wherein the rate of load condensate is that the target energy is born in the average of cycle time
Percentage between lotus and maximum load；
S2 classifies to the consuming energy amount and the production quantity of energy according to the rate of load condensate；
S3 calculates energy valid value corresponding with rate of load condensate according to the consuming energy amount and the production quantity of energy.
Optionally, in the present embodiment, above-mentioned storage medium can include but is not limited to: USB flash disk, read-only memory (Read-
Only Memory, referred to as ROM), it is random access memory (Random Access Memory, referred to as RAM), mobile hard
The various media that can store computer program such as disk, magnetic or disk.
The embodiments of the present invention also provide a kind of electronic device, including memory and processor, stored in the memory
There is computer program, which is arranged to run computer program to execute the step in any of the above-described embodiment of the method
Suddenly.
Optionally, above-mentioned electronic device can also include transmission device and input-output equipment, wherein the transmission device
It is connected with above-mentioned processor, which connects with above-mentioned processor.
Optionally, in the present embodiment, above-mentioned processor can be set to execute following steps by computer program:
S1 obtains the operation data of the target energy, wherein the operation data includes: rate of load condensate, consuming energy amount, institute
State the production quantity of energy that consuming energy volume production goes out, wherein the rate of load condensate is that the target energy is born in the average of cycle time
Percentage between lotus and maximum load；
S2 classifies to the consuming energy amount and the production quantity of energy according to the rate of load condensate；
S3 calculates energy valid value corresponding with rate of load condensate according to the consuming energy amount and the production quantity of energy.
Optionally, the specific example in the present embodiment can be with reference to described in above-described embodiment and optional embodiment
Example, details are not described herein for the present embodiment.
Obviously, those skilled in the art should be understood that each module of the above invention or each step can be with general
Computing device realize that they can be concentrated on a single computing device, or be distributed in multiple computing devices and formed
Network on, optionally, they can be realized with the program code that computing device can perform, it is thus possible to which they are stored
It is performed by computing device in the storage device, and in some cases, it can be to be different from shown in sequence execution herein
Out or description the step of, perhaps they are fabricated to each integrated circuit modules or by them multiple modules or
Step is fabricated to single integrated circuit module to realize.In this way, the present invention is not limited to any specific hardware and softwares to combine.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.It is all within principle of the invention, it is made it is any modification, etc.
With replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of calculation method of energy efficiency characterized by comprising
Obtain the operation data of the target energy, wherein the operation data includes: rate of load condensate, consuming energy amount, the consumption energy
The production quantity of energy that source volume production goes out；The rate of load condensate be the target energy cycle time average load and maximum load it
Between percentage；
Classify according to the rate of load condensate to the consuming energy amount and the production quantity of energy；
Energy valid value corresponding with rate of load condensate is calculated according to the consuming energy amount and the production quantity of energy.
2. the method according to claim 1, wherein according to the rate of load condensate to the consuming energy amount and described
Production quantity of energy carries out classification
Rate of load condensate is divided according to pre- fixed step size, obtains multiple load settings；
Determine the load setting of each production time；
Consuming energy amount in the production time for belonging to either objective load setting is classified as corresponding mesh with production quantity of energy
It marks consuming energy amount and target produces quantity of energy.
3. according to the method described in claim 2, it is characterized in that, according to the consuming energy amount and the production energy meter
Calculating energy valid value corresponding with rate of load condensate includes:
Quotient is obtained by target production quantity of energy divided by the target consumer quantity of energy for either objective load setting；
The quotient is determined as energy valid value of the target energy under the target load rate.
4. the method according to claim 1, wherein obtain the target energy operation data after, the side
Method further include:
Data cleansing is carried out to the operation data.
5. the method according to claim 1, wherein according to the consuming energy amount and the production quantity of energy
After calculating energy valid value corresponding with rate of load condensate, the method also includes:
It generates using the rate of load condensate as independent variable, the energy valid value is the curve graph of dependent variable.
6. the method according to claim 1, wherein according to the consuming energy amount and the production quantity of energy
After calculating energy valid value corresponding with rate of load condensate, the method also includes:
Using the rate of load condensate as input label, the energy valid value is as output label, training artificial intelligence model, wherein institute
Artificial intelligence model is stated for predicting the energy valid value of the target energy.
7. the method according to claim 1, wherein the target energy includes following one: steam energy warms up
The gas energy.
8. a kind of computing device of energy efficiency characterized by comprising
Module is obtained, for obtaining the operation data of the target energy, wherein the operation data includes: rate of load condensate, consuming energy
The production quantity of energy that amount, the consuming energy volume production go out, wherein the rate of load condensate is the target energy putting down in cycle time
Percentage between equal load and maximum load；
Categorization module, for classifying according to the rate of load condensate to the consuming energy amount and the production quantity of energy；
Computing module, for calculating energy valid value corresponding with rate of load condensate according to the consuming energy amount and the production quantity of energy.
9. a kind of storage medium, which is characterized in that be stored with computer program in the storage medium, wherein the computer
Program is arranged to execute method described in any one of claim 1 to 7 when operation.
10. a kind of electronic device, including memory and processor, which is characterized in that be stored with computer journey in the memory
Sequence, the processor are arranged to run the computer program to execute side described in any one of claim 1 to 7
Method.
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