CN107506889A - Multi-energy data processing method, device, energy source processor and energy processing system - Google Patents
Multi-energy data processing method, device, energy source processor and energy processing system Download PDFInfo
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Abstract
The present invention discloses multi-energy data processing method, device, energy source processor and energy processing system.Wherein, this method includes：Obtain the multi-energy data of one or more equipment；Statistical analysis is carried out to the multi-energy data, obtains analysis result；Wherein, the analysis result is used to diagnose equipment state；By built-in web page server, the analysis result is shown on webpage.Pass through the present invention, energy source processor itself carries out the statistical analysis of multi-energy data, and administrative staff need to be only connected by terminal with energy source processor, you can access the webpage built in the energy source processor, whole multi-energy data monitoring situation is directly viewable, without the network system by load.
Description
Technical field
The present invention relates to network communication technology field, at multi-energy data processing method, device, the energy
Manage device and energy processing system.
Background technology
Advocated the epoch of energy-conservation in the whole world, energy-conservation carries out effectively management energy to the energy as the most important thing of each enterprise
Enough effective energy-saving analysis means are provided for enterprise.
The method for energy management is mainly to monitor the power consumption information of each equipment at present, and will by the method for communication
Data are uploaded onto the server, and carry out data display and statistical analysis.Such processing method system processing is complicated, dependent on whole
Network system, integral deployment difficulty are big.
In addition, mainly lay particular emphasis on the analysis in itself to the energy, seldom slave unit in energy processing system this part at present
Angle carries out utilizing excavation to multi-energy data.
Processing for multi-energy data in the prior art depends on whole net system, implements the problem of more complicated, at present not yet
It is proposed effective solution.
The content of the invention
Multi-energy data processing method, device, energy source processor and energy processing system are provided in the embodiment of the present invention, with solution
Certainly the processing of multi-energy data depends on whole net system in the prior art, implements the problem of more complicated.
In order to solve the above technical problems, the invention provides a kind of multi-energy data processing method, wherein, this method includes：
Obtain the multi-energy data of one or more equipment；Statistical analysis is carried out to the multi-energy data, obtains analysis result；Wherein, institute
Analysis result is stated to be used to diagnose equipment state；By built-in web page server, by the analysis result on webpage
Display.
Further, before the multi-energy data for obtaining one or more equipment, methods described also includes：Association one or more
Individual equipment.
Further, statistical analysis is carried out to the multi-energy data and obtains analysis result, including：By each equipment of acquisition
The multi-energy data compared with default energy parameter scope；If the multi-energy data meets the default energy parameter
Scope, it is determined that the equipment operation is normal；Otherwise, it determines the equipment operation is abnormal, and alarm.
Further, statistical analysis is carried out to the multi-energy data and obtains analysis result, including：Electricity consumption to each equipment
Amount and electricity consumption period carry out statistical analysis；Wherein, the multi-energy data comprises at least power consumption and electricity consumption period；With reference to electricity
Net time-of-use tariffs pattern, draw the electricity consumption peak period and electricity consumption paddy period of each equipment.
Further, statistical analysis is carried out to the multi-energy data and obtains analysis result, including：According to the multi-energy data
Draw the power curve of each equipment；Judge whether the state of each equipment is good according to the power curve, to determine whether
Need to overhaul.
Further, statistical analysis is carried out to the multi-energy data and obtains analysis result, including：According to the multi-energy data
Draw energy consumption curve.
Further, statistical analysis is carried out to the multi-energy data and obtains analysis result, including：According to the use of each equipment
Electricity and electricity consumption period determine equipment cost, and form the statement of costs；Wherein, the multi-energy data comprise at least power consumption and
The electricity consumption period；The statement of costs is associated with enterprise energy consumption index；Equipment energy consumption is predicted according to the statement of costs,
When the equipment energy consumption exceeds enterprise energy consumption index corresponding with the statement of costs, alarm.
Further, statistical analysis is carried out to the multi-energy data and obtains analysis result, including：According to the institute of each equipment
State multi-energy data and determine single product energy consumption；Wherein, single product energy consumption=total energy consumption/total output；According to the same of different time sections
Single product energy consumption of product, forms single product energy consumption curve.
Further, statistical analysis is carried out to the multi-energy data and obtains analysis result, including：According to the institute of each equipment
State multi-energy data and determine the annual of the equipment and/or monthly and/or daily power consumption；Wherein, the multi-energy data at least wraps
Include power consumption；According to described annual and/or monthly and/or daily power consumption, it is determined that following electricity demand forecasting data.
Further, the multi-energy data comprises at least one below：Voltage, electric current, power, electricity.
Further, by built-in web page server, the analysis result is shown on webpage, including：Obtaining
To after IP address, the analysis result is shown on webpage；Wherein, the webpage corresponds with the IP address.
Present invention also offers a kind of multi-energy data processing unit, wherein, described device includes：Acquisition module, for obtaining
Take the multi-energy data of one or more equipment；Analysis module, for carrying out statistical analysis to the multi-energy data, obtain analysis knot
Fruit；Wherein, the analysis result is used to diagnose equipment state；Display module, for by built-in web page server,
The analysis result is shown on webpage.
Further, the multi-energy data comprises at least one below：Voltage, electric current, power, electricity.
Further, the display module, specifically for after IP address is got, showing that the analysis is tied on webpage
Fruit；Wherein, the webpage corresponds with the IP address.
Present invention also offers a kind of energy source processor, wherein, the energy source processor includes：Communication interface, for closing
Join one or more equipment；Processing module, for obtaining the multi-energy data of the equipment, statistical is carried out to the multi-energy data
Analysis, obtains analysis result；Wherein, the analysis result is used to diagnose equipment state；Web page server, for by described in
Analysis result is shown on webpage；Wherein, the IP address of the energy source processor corresponds with the webpage.
Further, the energy source processor also includes：Holder, for storing the multi-energy data and/or described point
Analyse result.
Further, the energy source processor also includes：Ethernet interface, for being connected to whole network server；The energy
Source data and/or the analysis result are uploaded to the whole network server accordingly.
Present invention also offers a kind of energy processing system, wherein, the energy processing system includes：Above-mentioned energy processing
Device, and one or more equipment with energy relational processor.
By the present invention, energy source processor itself carries out the statistical analysis of multi-energy data, and administrative staff need to only pass through terminal
It is connected with energy source processor, you can the webpage built in the energy source processor is accessed, is directly viewable whole multi-energy data monitoring situation,
Without the network system by load.
Brief description of the drawings
Fig. 1 is the structured flowchart of energy source processor according to embodiments of the present invention；
Fig. 2 is the basic composition frame chart of energy source processor according to embodiments of the present invention；
Fig. 3 is the structural representation of energy processing system according to embodiments of the present invention；
Fig. 4 is the flow chart of multi-energy data processing method according to embodiments of the present invention；
Fig. 5 is the structured flowchart of multi-energy data processing unit according to embodiments of the present invention.
Embodiment
The present invention is described in further detail with specific embodiment below in conjunction with the accompanying drawings, but not as the limit to the present invention
It is fixed.
Fig. 1 is the structured flowchart of energy source processor according to embodiments of the present invention, as shown in figure 1, the energy source processor bag
Include：
Communication interface, for associating one or more equipment；
Processing module, for obtaining the multi-energy data of equipment, statistical analysis is carried out to multi-energy data, obtains analysis result；
Web page server, for analysis result to be shown on webpage；Wherein, the IP address and webpage one of energy source processor
One correspondence.
In the present embodiment, it is possible to which source processor itself possesses multi-energy data analyzing and processing ability, chart etc. is automatically generated, is managed
Reason personnel need to be only connected by terminal with energy source processor, you can is accessed the webpage built in the energy source processor, is directly viewable whole
Individual multi-energy data monitors situation, without the network system by load.
Fig. 2 is the basic composition frame chart of energy source processor according to embodiments of the present invention, as shown in Fig. 2, at the above-mentioned energy
Reason device also includes：Holder, for stored energy source data and/or analysis result.Furthermore it is also possible to including SD card, it is equally used for
Stored energy source data and/or analysis result.Based on this, administrative staff can check called data at any time.
Above-mentioned energy source processor can also include：RTC (Real-Time Clock, real-time clock), for multi-energy data
Carry out statistical analysis.Ethernet interface, for being connected to whole network server；Based on this, multi-energy data and/or analysis result can be with
It is uploaded to whole network server.Above-mentioned energy source processor can also include external communication interface RS485/CAN.USB in Fig. 2 is
Above-mentioned communication interface.
Fig. 3 is the structural representation of energy processing system according to embodiments of the present invention, as shown in Fig. 3, energy processing
System includes：Multiple energy source processors, and one or more equipment with each energy relational processor.Energy source processor carries
For respective communication interface (wire/wireless) and one or more equipment interconnections, the data acquisition module (such as ammeter) in equipment
After being acquired to multi-energy data, energy source processor obtains the multi-energy data, and the statistical analysis technique set according to user,
Statistical analysis and storage are carried out to multi-energy data.By the Web_Server servers built in energy source processor, pass through Ethernet
Interface, statistical result is presented to user by webpage.User can check statistics by terminal (such as mobile phone, flat board client)
As a result.Energy source processor is optionally connected into whole net, and multi-energy data and/or statistic analysis result are uploaded into whole net services
Device.
Technical scheme based on the present embodiment, it is real for energy source processor in order to realize the localization of multi-energy data management
The transplanting of existing linux operating systems, and Web_Server servers built in exploitation so that energy source processor possesses web access work(
Can, and the data communication interfaces such as Wifi, LAN, RS485 are externally provided.
When needing to carry out multi-energy data monitoring to some or multiple equipment, first according to agreement, pass through software
Configuration, data interaction is carried out with equipment by RS485 interfaces or other the corresponding interface, reads the multi-energy data of equipment.It is for example, right
In electrical equipment, multi-energy data can at least include：Voltage (U), electric current (I), power (P), electricity (Q).Certainly, the present invention is real
Apply multi-energy data management of the example not only for electrical equipment, for equipment such as water, gas, oil, equally can by communication interface with
Corresponding instrument communication interface obtains multi-energy data according to standard agreement.
The workflow of energy source processor is introduced below by preferred embodiment.
Fig. 4 is the flow chart of multi-energy data processing method according to embodiments of the present invention, and as shown in Fig. 4, this method includes
Following steps：
Step S401, energy source processor obtain the multi-energy data of one or more equipment；Before this, the energy is set to handle
Device associates with one or more equipment.Multi-energy data in the present embodiment can at least include one below：Voltage, electric current, work(
Rate, electricity.
Step S402, energy source processor carry out statistical analysis to multi-energy data, obtain analysis result；Wherein, the analysis knot
Fruit is used to diagnose equipment state.
Step S403, energy source processor are shown analysis result by built-in web page server on webpage.
Specifically, the IP address of user's input energy sources processor, built-in web server is after IP address is got, in net
Analysis result is shown on page；Wherein, webpage corresponds with IP address.
By the present embodiment, realize that multi-energy data management localizes, administrative staff need to only pass through terminal and energy source processor
Connection, you can access the webpage built in the energy source processor, whole multi-energy data monitoring situation is directly viewable, without passing through load
Network system.
In the present embodiment, it is possible to source processor carries out applying Treatment Analysis to multi-energy data, mainly including following several feelings
Condition：
A, real time data application：Excavated from multi-energy data angle, carry out equipment control；
(1) by the multi-energy data of each equipment of acquisition compared with default energy parameter scope；If multi-energy data
Meet default energy parameter scope, it is determined that the equipment operation is normal；Otherwise, it determines the equipment operation is abnormal, and alarm.
Power consumption and electricity consumption period to each equipment carry out statistical analysis；Wherein, multi-energy data comprises at least electricity consumption
Amount and electricity consumption period；With reference to power network time-of-use tariffs pattern, the electricity consumption peak period and electricity consumption paddy period of each equipment are drawn.
Specifically,
For electrical equipment, when user needs to carry out energy monitor to some equipment, by Web webpages, configure and wait to supervise
The relevant information of equipment is controlled, such as including essential informations such as rated power, operating voltage, electric current, normal electricity consumption periods.Configuration
After the completion of, start to obtain the multi-energy data of equipment, respectively voltage, electric current, power, electricity equal energy source data independently deposit
Storage, and the current power amount of computing device in real time.Simultaneously according to electricity consumption situation, statistical separates out the electricity consumption period of equipment, knot
The time-of-use tariffs pattern of power network is closed, statistics equipment is specifically in peak period, or the electricity consumption of paddy period, so that user ties according to statistics
Fruit, adjusting device application plan, effectively reduces electric cost.
The normal electricity consumption period set according to user, and the multi-energy data obtained, when discovering device is in inoperative
Between (I when being run>0), timely alert, prompts administrative staff, the improper operating of equipment, and timely discovering device is deposited
In energy waste situation.
(2) power curve of each equipment is drawn according to multi-energy data；The state of each equipment is judged according to power curve
It is whether good, to determine the need for overhauling.
Specifically,
According to the multi-energy data of acquisition, the power curve of plotting unit longtime running, and according to the tendency of power curve, it is right
Equipment state makes diagnosis, prompts user to be overhauled in time to equipment, equipment operation is effectively ensured in optimum state.
(3) when it is non-normal working electric current to detect multi-energy data (such as current data), equipment is judged in off-duty,
Leakage of current be present, equipment can be provided alert in the presence of electric leakage, effectively solve equipment leakage and unit exception.
B, data statistics processing
(1) days daily power consumption
Every year monthly daily power consumption be can the basic power source data that provide of source processor, entirely can source processor with this
Based on, carry out data gos deep into mining analysis.
(2) energy consumption curve
Energy consumption curve is drawn according to multi-energy data, mainly according to the voltage of equipment, electric current, power, electricity formation stages
Property energy consumption curve.
(3) equipment energy consumption cost
Cost calculation is carried out according to each equipment power consumption and electricity consumption period in real time, the statement of costs is formed by the date；
(4) managing power consumption index
Equipment cost is determined according to the power consumption of each equipment and electricity consumption period, and forms the statement of costs；Wherein, the energy
Data comprise at least power consumption and electricity consumption period；The statement of costs is associated with enterprise energy consumption index；It is pre- according to the statement of costs
Measurement equipment energy consumption, when equipment energy consumption exceeds enterprise energy consumption index corresponding with the statement of costs, alarm.
(5) single product energy consumption
Single product energy consumption is determined according to the multi-energy data of each equipment；Wherein, single product energy consumption=total energy consumption/total output；According to
Single product energy consumption of the identical product of different time sections, forms single product energy consumption curve.
Specifically,
According to monthly daily energy consumption data, and the production of single product every year, single product energy consumption, single product energy consumption are calculated
=total energy consumption/total output.By single product energy consumption, ratio of each different product on energy consumption cost can be effectively contrasted, is being counted
On the basis of calculating single product energy consumption, single product energy consumption curve is formed for the identical product list product energy consumption of different time sections, can be made
Administrative staff are obtained to pinpoint the problems in time.
(6) Energy Demand Forecast
The annual of the equipment and/or monthly and/or daily power consumption is determined according to the multi-energy data of each equipment；Its
In, multi-energy data comprises at least power consumption；According to annual and/or monthly and/or daily power consumption, it is determined that following power consumption
Prediction data.
Specifically,
According to the days daily power consumption of equipment, energy source processor forms prediction letter to following date electricity demand automatically
Breath, enterprise's future source of energy demand and entreprise cost can be given to provide effective foundation.
On the basis of multi-energy data collection, the Web server built in energy source processor combination local, detection connection in real time
Request, administrative staff input the IP address of accordingly energy source processor by browser, you can corresponding website are connected to, in webpage
On intuitively check the energy service condition of equipment, including at least year, month, day electricity consumption statistics, power curve, current curve, set
The information such as standby electricity cost, modular diagnostic analysis result, electricity consumption performance assessment criteria, according to above- mentioned information, administrative staff can analyze
The basic running situation of equipment, while also provide effective examination standard to energy consumption index.
On the basis of energy source processor application, energy source processor also can form network by fieldbus, and pass through
Ethernet docks with enterprise servers, forms management platform.
Corresponding to the multi-energy data processing method of Fig. 4 introductions, a kind of multi-energy data processing unit is present embodiments provided, such as
The structured flowchart of multi-energy data processing unit shown in Fig. 5, the device include：
Acquisition module 10, for obtaining the multi-energy data of one or more equipment；Multi-energy data in the present embodiment is at least
One below can be included：Voltage, electric current, power, electricity；
Analysis module 20, for carrying out statistical analysis to multi-energy data, obtain analysis result；Wherein, analysis result is used for
Equipment state is diagnosed；
Display module 30, for by built-in web page server, analysis result to be shown on webpage；Specifically for
After getting IP address, analysis result is shown on webpage；Wherein, webpage corresponds with IP address.
It was found from description more than, essential core of the invention point is：
1st, by Web_Server server modes, Virtual HMI (Human Machine Interface, man-machine boundary are realized
Face), provide a kind of easily energy processing system building plan by energy source processor；
2nd, device diagnostic is carried out using multi-energy data.
The present invention mainly realizes the localization process for equipment multi-energy data by energy source processor, by obtaining the energy
Data, and in the statistical analysis that multi-energy data can be realized inside source processor, equipment is diagnosed according to analysis result, and leads to
The mode of Web_Server servers is crossed, user only needs the IP address of input energy sources processor to may have access to the website built in it,
So that whole energy management deployment is simple, user can access energy processor by network at any time, pass through built-in net
Page UI checks the multi-energy data of entirely energy source processor, without being related to the deployment of the whole network system such as server.
It should be noted that it is provided by the invention can source processor obtain equipment multi-energy data while, Ke Yitong
The efficiency data that feasible means obtain equipment is crossed, statistical analysis equally is carried out to efficiency data, for examining equipment state
It is disconnected.
Certainly, above is the preferred embodiment of the present invention.It should be pointed out that for those skilled in the art
For, on the premise of its general principles are not departed from, some improvements and modifications can also be made, these improvements and modifications
It is considered as protection scope of the present invention.
Claims (18)
1. a kind of multi-energy data processing method, it is characterised in that methods described includes：
Obtain the multi-energy data of one or more equipment；
Statistical analysis is carried out to the multi-energy data, obtains analysis result；Wherein, the analysis result is used to enter equipment state
Row diagnosis；
By built-in web page server, the analysis result is shown on webpage.
2. according to the method for claim 1, it is characterised in that before the multi-energy data for obtaining one or more equipment, institute
Stating method also includes：
Associate one or more equipment.
3. according to the method for claim 1, it is characterised in that statistical analysis is carried out to the multi-energy data and obtains analysis knot
Fruit, including：
By the multi-energy data of each equipment of acquisition compared with default energy parameter scope；
If the multi-energy data meets the default energy parameter scope, it is determined that the equipment operation is normal；Otherwise, it determines should
Equipment operation is abnormal, and alarms.
4. according to the method for claim 1, it is characterised in that statistical analysis is carried out to the multi-energy data and obtains analysis knot
Fruit, including：
Power consumption and electricity consumption period to each equipment carry out statistical analysis；Wherein, the multi-energy data comprises at least electricity consumption
Amount and electricity consumption period；
With reference to power network time-of-use tariffs pattern, the electricity consumption peak period and electricity consumption paddy period of each equipment are drawn.
5. according to the method for claim 1, it is characterised in that statistical analysis is carried out to the multi-energy data and obtains analysis knot
Fruit, including：
The power curve of each equipment is drawn according to the multi-energy data；
Judge whether the state of each equipment is good according to the power curve, to determine the need for overhauling.
6. according to the method for claim 1, it is characterised in that statistical analysis is carried out to the multi-energy data and obtains analysis knot
Fruit, including：
Energy consumption curve is drawn according to the multi-energy data.
7. according to the method for claim 1, it is characterised in that statistical analysis is carried out to the multi-energy data and obtains analysis knot
Fruit, including：
Equipment cost is determined according to the power consumption of each equipment and electricity consumption period, and forms the statement of costs；Wherein, the energy
Data comprise at least power consumption and electricity consumption period；
The statement of costs is associated with enterprise energy consumption index；Equipment energy consumption is predicted according to the statement of costs, set described
When standby energy consumption exceeds enterprise energy consumption index corresponding with the statement of costs, alarm.
8. according to the method for claim 1, it is characterised in that statistical analysis is carried out to the multi-energy data and obtains analysis knot
Fruit, including：
Single product energy consumption is determined according to the multi-energy data of each equipment；Wherein, single product energy consumption=total energy consumption/total output；
According to single product energy consumption of the identical product of different time sections, single product energy consumption curve is formed.
9. according to the method for claim 1, it is characterised in that statistical analysis is carried out to the multi-energy data and obtains analysis knot
Fruit, including：
The annual of the equipment and/or monthly and/or daily power consumption is determined according to the multi-energy data of each equipment；Its
In, the multi-energy data comprises at least power consumption；
According to described annual and/or monthly and/or daily power consumption, it is determined that following electricity demand forecasting data.
10. method according to any one of claim 1 to 9, it is characterised in that the multi-energy data comprises at least following
One of：
Voltage, electric current, power, electricity.
11. according to the method for claim 1, it is characterised in that by built-in web page server, by the analysis result
Shown on webpage, including：
After IP address is got, the analysis result is shown on webpage；Wherein, a pair of the webpage and the IP address 1
Should.
12. a kind of multi-energy data processing unit, it is characterised in that described device includes：
Acquisition module, for obtaining the multi-energy data of one or more equipment；
Analysis module, for carrying out statistical analysis to the multi-energy data, obtain analysis result；Wherein, the analysis result is used
Diagnosed in equipment state；
Display module, for by built-in web page server, the analysis result to be shown on webpage.
13. device according to claim 12, it is characterised in that the multi-energy data comprises at least one below：Voltage,
Electric current, power, electricity.
14. device according to claim 12, it is characterised in that
The display module, specifically for after IP address is got, the analysis result is shown on webpage；Wherein, it is described
Webpage corresponds with the IP address.
15. a kind of energy source processor, it is characterised in that the energy source processor includes：
Communication interface, for associating one or more equipment；
Processing module, for obtaining the multi-energy data of the equipment, statistical analysis is carried out to the multi-energy data, obtains analysis knot
Fruit；Wherein, the analysis result is used to diagnose equipment state；
Web page server, for the analysis result to be shown on webpage；Wherein, the IP address of the energy source processor and institute
State webpage one-to-one corresponding.
16. energy source processor according to claim 15, it is characterised in that the energy source processor also includes：
Holder, for storing the multi-energy data and/or the analysis result.
17. energy source processor according to claim 15, it is characterised in that the energy source processor also includes：
Ethernet interface, for being connected to whole network server；The multi-energy data and/or the analysis result are uploaded to institute accordingly
State whole network server.
18. a kind of energy processing system, it is characterised in that the energy processing system includes：It is any in claim 15 to 17
Energy source processor described in, and one or more equipment with the energy relational processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710551733.8A CN107506889A (en) | 2017-07-07 | 2017-07-07 | Multi-energy data processing method, device, energy source processor and energy processing system |
Applications Claiming Priority (1)
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Application publication date: 20171222 |