CN108600345A - A kind of self-learning method of power concentrator - Google Patents
A kind of self-learning method of power concentrator Download PDFInfo
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- CN108600345A CN108600345A CN201810316191.0A CN201810316191A CN108600345A CN 108600345 A CN108600345 A CN 108600345A CN 201810316191 A CN201810316191 A CN 201810316191A CN 108600345 A CN108600345 A CN 108600345A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
Abstract
The present invention relates to a kind of self-learning methods of power concentrator, it will be for the corresponding parsing policy store of main website of power office message request that can be parsed to the packet parsing policy database of itself by power concentrator, main website of the power office message request that power concentrator itself cannot parse also is fed back into power concentrator manufacturer backstage, correct packet parsing strategy is fed back to the packet parsing policy database to obtain power concentrator manufacturer backstage, meet its actual resolved needs to most of message request transmitted by main website of power office from there through the packet parsing policy database for constantly updating power concentrator.The self-learning method of the power concentrator only needs the remote data communication between power concentrator and main website of power office and between power concentrator and power concentrator manufacturer backstage, so that it may do cumbersome problem caused by site examining and repairing back and forth back and forth to be effectively prevented from technical staff.
Description
Technical field
The present invention relates to power concentrator field more particularly to a kind of self-learning methods of power concentrator.
Background technology
In recent years, there are many power concentrator problem, and the main website of power office of each province can be various to the proposition of power concentrator producer
Demand, and the various problems that these power concentrators can be also occurred.Feed back to power concentrator producer.
Under normal conditions, power concentrator producer can in time assign certainly after receiving the problem of main website of power office is sent
Oneself technical staff does site inspection repair at the power concentrator to go wrong；Then, technical staff also can be maintenance process
Found in power concentrator the problem of feed back to the developer of power concentrator producer in time, just need electric power collection at this time
The Zhong Qi producers personnel that arrange work change the correspondence program of power concentrator for the problem, and again by technical staff
It hurries to those power concentrator scenes gone wrong to do upgrading processing, thus completes the entire solution for power concentrator problem
Process.
However, the existing entire solution process consuming time for power concentrator problem is long, a large amount of manpower is wasted
Material resources, that is to say, that the technical staff of power concentrator producer is needed constantly to travel to and fro between power concentrator scene and electric power concentration
Between device producer, and it also requires technical staff found in maintenance process the problem of power concentrator in time feeding back to out
Thus hair personnel just can guarantee the normal use of power concentrator.In addition, due to power concentrator be nearly all hang over it is higher
On electric pole or wall, this brings inconvenience to the site examining and repairing of technical staff.
Invention content
The technical problem to be solved by the present invention is to provide a kind of self study of power concentrator for the above-mentioned prior art
Method.Power concentrator may be implemented for message request transmitted by main website of power office in the self-learning method of the power concentrator
Sort out dissection process, and automatically replace packet parsing policy database, to be effectively prevented from technical staff's site examining and repairing
Caused cumbersome problem.
Technical solution is used by the present invention solves above-mentioned technical problem：A kind of self-learning method of power concentrator,
For including that power concentrator, main website of power office and power concentrator manufacturer backstage are formed by system, power concentrator point
It is not connect with main website of power office and power concentrator manufacturer background communication, which is characterized in that the self study of the power concentrator
Method in turn includes the following steps 1 to step 8：
Step 1, the main website of power office sends message request to power concentrator；
Step 2, the power concentrator receives and does dissection process to the message request transmitted by main website of power office：
When the message request transmitted by the power concentrator successfully parses main website of power office, power concentrator is sent pair
Should the feedback information of message request give main website of power office；Otherwise, transmitted by main website of power concentrator forwarding power office
The message request gives power concentrator manufacturer backstage；
Step 3, the power concentrator manufacturer backstage provides the parsing plan for message request transmitted by power concentrator
Power concentrator is slightly given, and the test that power concentrator manufacturer backstage is directed to the message request is successfully passed in power concentrator
Afterwards, the packet parsing policy database of the power concentrator is arrived in power concentrator storage for the parsing strategy of the message request
It is interior；Otherwise, the power concentrator sends the message request not being successfully parsed and gives power concentrator manufacturer backstage again；
Step 4, power concentrator manufacturer backstage for the message request not parsed successfully by power concentrator into
When going and parse, and the message request not parsed successfully by concentrator is successfully parsed in default parsing number, power concentrator
The corresponding parsing strategy for the message request at this time is sent to power concentrator by manufacturer backstage, is updated by power concentrator
Packet parsing policy database originally；Otherwise, power concentrator manufacturer backstage personnel assigned is done for power concentrator
Field maintenance；
Step 5, the exception information appeared in the power concentrator detection self-operating process, will by power concentrator
The exception information detected is sent to power concentrator manufacturer backstage；The power concentrator manufacturer backstage will be described in corresponding solve
The resolution policy of power concentrator exception information is sent to power concentrator, and resolution policy solution pair is utilized by power concentrator
The exception information answered；
Step 6, its follow-up new message request for power concentrator is organized into preset format by the main website of power office
Demand file and send arrange after the preset format demand file to power concentrator；
Step 7, the preset format demand file transmitted by main website of power concentrator parsing power office, and according to described
Preset format demand file parses the new message request that main website of power office is sent：
When the power concentrator successfully parses the new message request of main website of power office, which feeds back successfully
Study is prompted to main website of power office, and the parsing strategy of the corresponding new message request is stored to described in step 4 by power concentrator
Updated packet parsing policy database obtains the newer packet parsing policy database of self study；Otherwise, the electric power collection
Middle device feedback learning failure is prompted to main website of power office；
Step 8, the power concentrator utilizes the parsing plan in the newer packet parsing policy database of the self study
Slightly accordingly parse the message request transmitted by main website of power office.
Optionally, in the self-learning method of the power concentrator, the resolution policy includes being directed to power concentrator
The patch file of exception information or/and upgrade procedure file for power concentrator exception information.
Optionally, in the self-learning method of the power concentrator, the preset format demand file meets 376 stipulations
Or/and 698 stipulations.
With improvement, in the self-learning method of the power concentrator, the message request includes being directed to power concentrator
The reading request of data of interior data, for power concentrator running parameter parameter setting request and for power concentrator
Control at least one of operation requests.
It improves again, the self-learning method of the power concentrator further includes：The power concentrator manufacturer is from the background by its needle
Preset format upgrade file is organized into the upgrade file of power concentrator and sends the preset format upgrading after arranging
File corresponds to parsing power concentrator to power concentrator, by power concentrator according to the preset format upgrade file of reception
The step of upgrade file that manufacturer backstage is subsequently sent.
It improves again, the self-learning method of the power concentrator further includes：In step 7, the main website of power office according to
The prompt of the power concentrator feedback learning failure judges processing：When power office's main station judging power concentrator study is lost
When the reason of losing is software fault, the main website of power office sends the corresponding software document for solving the software fault and is concentrated to electric power
Device；When the reason of power office's main station judging power concentrator study failure is hardware fault, the main website of power office assigns dimension
It repaiies personnel and replaces corresponding hardware.
With improvement, in the self-learning method of the power concentrator, in step 2, when power concentrator success
When parsing the message request transmitted by main website of power office, power concentrator is spaced according to default transmission sends the corresponding message request
Feedback information give main website of power office.
Further, in the self-learning method of the power concentrator, the default parsing number in step 4 is three
It is secondary；Or the self-learning method of the power concentrator further includes following steps a1~step a3：
Step a1, the power concentrator statistical analysis obtain the consumption habit and electricity consumption of electric energy meter user, and by this
The personalized acquisition scheme and individual character of the consumption habit and electricity consumption that match the electric energy meter user is arranged in power concentrator automatically
Change acquisition tasks；
Step a2, the power concentrator is using the personalized acquisition scheme with personalized acquisition tasks for corresponding
Electric energy meter carries out electricity related data and is acquired with electric energy meter associated event data；Wherein, the personalized acquisition scheme includes general
Energization energy acquisition scheme, event acquisition scheme and report scheme；The personalization task includes to be configured for each user group
Personalized task execution frequency；
Step a3, the power concentrator establish electric energy meter to each electric energy meter administered respectively and correspond to the normal of day part
Electricity consumption range, and detect by power concentrator the power consumption data of user corresponding to each electric energy meter：
When power concentrator judge user the corresponding period electricity consumption beyond the user the period normal electricity consumption model
When enclosing, the electric energy meter data of the user are reported to main website of power office and do early warning processing by the power concentrator；Otherwise, the electricity
Power concentrator not reports the electric energy meter data of the user to give main website of power office.
It improves again, in the self-learning method of the power concentrator, in steps of 5, the power concentrator will detect
To exception information according to predeterminated frequency be sent to power concentrator manufacturer backstage.
Again with improvement, in the self-learning method of the power concentrator, the solution in the packet parsing policy database
Analysis strategy is corresponded with the message request transmitted by main website of power office.
Compared with the prior art, the advantages of the present invention are as follows：
First, the self-learning method of power concentrator may be implemented power concentrator and be directed to institute of main website of power office in the present invention
The classification dissection process of message request is sent, and automatically replaces the packet parsing policy database of power concentrator itself,
Cumbersome problem caused by site examining and repairing is done back and forth back and forth to be effectively prevented from technical staff；
Secondly, in the present invention, arranged by the way that main website of power office to be subsequently sent to the new message request of power concentrator
At preset format demand file so that preset format demand file can be compatible with simultaneously meets 376 stipulations and 698 stipulations, and
These preset formats can be asked text to be sent to power concentrator by main website of power office, even if thus main website of following needs office is sent
When the message request of the message request of 376 stipulations or 698 stipulations, the power concentrator in the present invention can be parsed accurately
Go out these message requests, is effectively improved the power concentrator for different stipulations message requests transmitted by main website of power office
The compatibility parsed.
Description of the drawings
Fig. 1 is the self-learning method flow diagram of power concentrator in the embodiment of the present invention.
Specific implementation mode
Below in conjunction with attached drawing embodiment, present invention is further described in detail.
As shown in Figure 1, in the present embodiment power concentrator self-learning method, for including power concentrator, power office
Main website and power concentrator manufacturer backstage are formed by system, power concentrator respectively with main website of power office and power concentrator
The connection of manufacturer background communication, the self-learning method of the power concentrator in turn include the following steps 1 to step 8：
Step 1, main website of power office sends message request to power concentrator；
For example, the message request in the present embodiment may include for the reading request of data of data in power concentrator,
For power concentrator running parameter parameter setting request and in the control operation requests of power concentrator at least
It is a kind of；
Step 2, power concentrator receives and does dissection process to the message request transmitted by main website of power office：
When the message request transmitted by power concentrator successfully parses main website of power office, power concentrator send it is corresponding should
The feedback information of message request gives main website of power office；Otherwise, the message transmitted by main website of power concentrator forwarding power office is asked
It asks and gives power concentrator manufacturer backstage；
That is, can usually be previously stored with the parsing for sending message request for main website of power office in power concentrator
Strategy；It is asked for example, being just stored in advance for the message request A of main website of power office transmission, in power concentrator and parsing the message
Seek the parsing strategy a of A；Once power concentrator determination has received message request A, power concentrator is just with the parsing plan to prestore
Slightly a goes to parse this message request A；That once the main website of power office that power concentrator is received is sent is message request B, due to
The parsing strategy of analytic message request B is not previously stored in power concentrator, then power concentrator at this time just can not
This message request B is successfully parsed, so, the message request B that main website of power office is sent will be sent to this by power concentrator
Power concentrator manufacturer background process；
Certainly, in the step 2, when the message request transmitted by power concentrator successfully parses main website of power office, electricity
Power concentrator can also give power office master according to the default feedback information for sending the corresponding message request of interval transmission as needed
It stands；
Step 3, power concentrator manufacturer backstage provide the parsing strategy for message request transmitted by power concentrator to
Power concentrator, and after power concentrator successfully passes test of the power concentrator manufacturer backstage for the message request, electricity
Power concentrator storage is in the parsing strategy to the packet parsing policy database of the power concentrator of the message request；It is no
Then, power concentrator sends the message request not being successfully parsed and gives power concentrator manufacturer backstage again；
Wherein, in the present embodiment, in packet parsing policy database parsing strategy with main website of power office transmitted by
Message request corresponds；
In the step 3, then power concentrator manufacturer backstage sends electric power again main website of power office oneself is modeled to
Concentrator feeds back main website of the power office message request parsed not successfully to power concentrator, to utilize electric power by power concentrator
Concentrator manufacturer is fed back on backstage the parsing strategy come and parsing power concentrator manufacturer backstage is gone to be sent with main website of power office identity
Message request；Once power concentrator can successfully parse current message request at this time, just illustrate that this asks current message
The parsing strategy asked be it is correct, to power concentrator storage for the message request parsing strategy to the power concentrator
Packet parsing policy database in；Certainly, if power concentrator still cannot successfully parse current message request,
Power concentrator will give power concentrator manufacturer background process the message request that this is not parsed again；
Described resolution policy includes the patch file for power concentrator exception information or/and is directed in the present embodiment
The upgrade procedure file of power concentrator exception information；
Step 4, power concentrator manufacturer backstage is not solved by the message request that power concentrator successfully parses for this
When analysing, and the message request not parsed successfully by concentrator successfully parsed in default parsing number, power concentrator manufacturer
The corresponding parsing strategy for the message request at this time is sent to power concentrator by backstage, is updated by power concentrator original
Packet parsing policy database；Otherwise, power concentrator manufacturer backstage personnel assigned does field maintenance for power concentrator；
For example, the default parsing number in the present embodiment is set as three times；
Step 5, the exception information appeared in power concentrator detection self-operating process, will be detected by power concentrator
To exception information be sent to power concentrator manufacturer backstage；Power concentrator manufacturer backstage solves the electric power concentration by corresponding
The resolution policy of device exception information is sent to power concentrator, and corresponding exception is solved using the resolution policy by power concentrator
Information；
Certainly, as an improvement, in steps of 5, power concentrator can also be by the exception information detected according to default frequency
Rate is sent to power concentrator manufacturer backstage；
Step 6, its follow-up new message request for power concentrator is organized into preset format request by main website of power office
File and send arrange after the preset format demand file to power concentrator；
Wherein, in the present embodiment, the preset format demand file in the step 6 for the new message request of main website of power office can
To meet 376 stipulations or 698 stipulations；Such as：
When meeting 376 stipulations for the preset format demand file of the new message request of main website of power office, after power concentrator
It is continuous to parse main website of the power office message request for meeting 376 stipulations according to the preset format demand file；
When meeting 698 stipulations for the preset format demand file of the new message request of main website of power office, after power concentrator
It is continuous to parse main website of the power office message request for meeting 698 stipulations according to the preset format demand file；
Certainly, preferably, preferably simultaneously for the preset format demand file of the new message request of main website of power office
Compatibility meets 376 stipulations and 698 stipulations, even if thus main website of following needs office sends message request or 698 rule of 376 stipulations
When message request about, the power concentrator in the embodiment can accurately parse these message requests, effectively carry
The high power concentrator is for the compatibility that different stipulations message requests are parsed transmitted by main website of power office；
Step 7, the preset format demand file transmitted by main website of power concentrator parsing power office, and according to preset format
Demand file parses the new message request that main website of power office is sent：
When power concentrator successfully parses the new message request of main website of power office, which, which feeds back, successfully learns
Be prompted to main website of power office, the parsing strategy that the corresponding new message request is stored by power concentrator is updated to described in step 4
Packet parsing policy database afterwards obtains the newer packet parsing policy database of self study；Otherwise, power concentrator is fed back
Study failure is prompted to main website of power office；
Step 8, power concentrator is right using the parsing strategy in the newer packet parsing policy database of the self study
Parse the message request transmitted by main website of power office with answering.
That is, the self-learning method of power concentrator can be directed to power office by power concentrator in the present embodiment
The classification dissection process of message request transmitted by main website automatically replaces the packet parsing policy data of power concentrator itself
Library, electric power is arrived in the parsing strategy all storages as much as possible that can successfully parse message request transmitted by main website of power office
In the packet parsing policy database of concentrator；In this way, when main website of power office sends new message request to power concentrator,
Power concentrator directly can directly transfer corresponding packet parsing strategy out of oneself packet parsing policy database
Current message request transmitted by the received main website of power office of parsing, it is no longer necessary to which technical staff specially goes power concentrator live
Repair upgrading is done, technical staff is effectively prevented from and does cumbersome problem caused by site examining and repairing back and forth back and forth.
Certainly, follow-up transmitted next successfully to parse power concentrator manufacturer backstage in order to preferably facilitate power concentrator
Upgrade file, the self-learning method of power concentrator can also include in the present embodiment：Power concentrator manufacturer is from the background by it
It is organized into preset format upgrade file for the upgrade file of power concentrator and sends the preset format liter after arranging
Grade file corresponds to parsing electric power according to the preset format upgrade file of reception to power concentrator, by power concentrator and concentrates
The step of upgrade file that device manufacturer backstage is subsequently sent.
In order to meet the electric energy meter acquisition needs to different electric energy meter users, the self-study of the power concentrator in the present embodiment
Learning method can also include the following steps a1~step a3：
Step a1, power concentrator statistical analysis obtain the consumption habit and electricity consumption of electric energy meter user, and by the electric power
The personalized acquisition scheme for the consumption habit and electricity consumption that matching electric energy meter user is arranged in concentrator automatically is appointed with personalized acquisition
Business；
Step a2, power concentrator using personalized acquisition scheme and personalized acquisition tasks be directed to corresponding electric energy meter into
Row electricity related data is acquired with electric energy meter associated event data；Wherein, personalized acquisition scheme includes common generated energy acquisition
Scheme, event acquisition scheme and report scheme；Personalized task includes for the personalized task execution of each user group configuration
Frequency；
Step a3, power concentrator establish the normal electricity consumption that electric energy meter corresponds to day part to each electric energy meter administered respectively
Range, and detect by power concentrator the power consumption data of user corresponding to each electric energy meter：
When power concentrator judge user the corresponding period electricity consumption beyond the user the period normal electricity consumption model
When enclosing, which is reported to main website of power office by the electric energy meter data of the user and does early warning processing；Otherwise, electric power is concentrated
Device not reports the electric energy meter data of the user to give main website of power office.
In addition, in step 7 in the present embodiment, main website of power office can also fail according to power concentrator feedback learning
Prompt judge processing：When the reason of power office's main station judging power concentrator study failure is software fault, electric power
Main website of office sends the corresponding software document for solving the software fault to power concentrator；When power office's main station judging power concentrator
When the reason of study failure is hardware fault, main website of power office assigns maintenance personal to replace corresponding hardware.
The self-learning method of power concentrator in the present embodiment, by the way that main website of power office is subsequently sent to power concentrator
New message request be organized into preset format demand file so that preset format demand file can be compatible with simultaneously meets 376 rule
About with 698 stipulations, and these preset formats can be asked text be sent to power concentrator by main website of power office, even if thus follow-up
Main website of power office send 376 stipulations message request or 698 stipulations message request when, the present invention in power concentrator it is equal
These message requests can be accurately parsed, the power concentrator is effectively improved and is directed to transmitted by main website of power office not
The compatibility parsed with stipulations message request.
Although the preferred embodiment of the present invention described in detail above, it is to be clearly understood that for this field
Technical staff for, the invention may be variously modified and varied.Appoint made by all within the spirits and principles of the present invention
What modification, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of self-learning method of power concentrator, for including power concentrator, main website of power office and power concentrator
Manufacturer backstage is formed by system, and power concentrator is connect with main website of power office and power concentrator manufacturer background communication respectively,
It is characterized in that, the self-learning method of the power concentrator in turn includes the following steps 1 to step 8：
Step 1, the main website of power office sends message request to power concentrator；
Step 2, the power concentrator receives and does dissection process to the message request transmitted by main website of power office：
When the message request transmitted by the power concentrator successfully parses main website of power office, power concentrator send it is corresponding should
The feedback information of message request gives main website of power office；Otherwise, report transmitted by main website of power concentrator forwarding power office
Power concentrator manufacturer backstage is given in text request；
Step 3, power concentrator manufacturer backstage provide the parsing strategy for message request transmitted by power concentrator to
Power concentrator, and after power concentrator successfully passes test of the power concentrator manufacturer backstage for the message request, electricity
Power concentrator storage is in the parsing strategy to the packet parsing policy database of the power concentrator of the message request；It is no
Then, the power concentrator sends the message request not being successfully parsed and gives power concentrator manufacturer backstage again；
Step 4, the power concentrator manufacturer backstage is not solved by the message request that power concentrator successfully parses for this
When analysing, and the message request not parsed successfully by concentrator successfully parsed in default parsing number, power concentrator manufacturer
The corresponding parsing strategy for the message request at this time is sent to power concentrator by backstage, is updated by power concentrator original
Packet parsing policy database；Otherwise, power concentrator manufacturer backstage personnel assigned does scene for power concentrator
Repair；
Step 5, the exception information appeared in the power concentrator detection self-operating process, will be detected by power concentrator
To exception information be sent to power concentrator manufacturer backstage；The power concentrator manufacturer backstage solves the electric power by corresponding
The resolution policy of concentrator exception information is sent to power concentrator, corresponding using resolution policy solution by power concentrator
Exception information；
Step 6, its follow-up new message request for power concentrator is organized into preset format request by the main website of power office
File and send arrange after the preset format demand file to power concentrator；
Step 7, the preset format demand file transmitted by main website of power concentrator parsing power office, and according to described default
The new message request that main website of formatted request document analysis power office is sent：
When the power concentrator successfully parses the new message request of main website of power office, which, which feeds back, successfully learns
Be prompted to main website of power office, the parsing strategy that the corresponding new message request is stored by power concentrator is updated to described in step 4
Packet parsing policy database afterwards obtains the newer packet parsing policy database of self study；Otherwise, the power concentrator
Feedback learning failure is prompted to main website of power office；
Step 8, the power concentrator is right using the parsing strategy in the newer packet parsing policy database of the self study
Parse the message request transmitted by main website of power office with answering.
2. the self-learning method of power concentrator according to claim 1, which is characterized in that the resolution policy includes being directed to
The patch file of power concentrator exception information or/and upgrade procedure file for power concentrator exception information.
3. the self-learning method of power concentrator according to claim 1, which is characterized in that the preset format demand file
Meet 376 stipulations or/and 698 stipulations.
4. the self-learning method of power concentrator according to claim 1, which is characterized in that the message request includes being directed to
The reading request of data of data in power concentrator is asked and for the parameter setting of power concentrator running parameter for electricity
At least one of control operation requests of power concentrator.
5. the self-learning method of power concentrator according to claim 1, which is characterized in that further include：The electric power is concentrated
Device manufacturer backstage by its for power concentrator upgrade file be organized into preset format upgrade file and send arrangement after
The preset format upgrade file is to power concentrator, by power concentrator according to the preset format upgrade file pair of reception
The step of upgrade file that power concentrator manufacturer backstage is subsequently sent should be parsed.
6. the self-learning method of power concentrator according to claim 1, which is characterized in that further include：In step 7, institute
It states main website of power office and processing is judged according to the prompt of power concentrator feedback learning failure：
When the reason of power office's main station judging power concentrator study failure is software fault, main website of the power office transmission pair
The software document of the software fault should be solved to power concentrator；
When the reason of power office's main station judging power concentrator study failure is hardware fault, the main website of power office assigns dimension
It repaiies personnel and replaces corresponding hardware.
7. according to the self-learning method of any one of claim 1~6 power concentrator, which is characterized in that in step 2,
When the message request transmitted by the power concentrator successfully parses main website of power office, power concentrator is according between default transmission
Main website of power office is given every the feedback information for sending the corresponding message request.
8. the self-learning method of power concentrator according to claim 1, which is characterized in that the default solution in step 4
It is three times to analyse number；Or
The self-learning method of the power concentrator further includes following steps a1~step a3：
Step a1, the power concentrator statistical analysis obtain the consumption habit and electricity consumption of electric energy meter user, and by the electric power
The personalized acquisition scheme that the consumption habit and electricity consumption that match the electric energy meter user is arranged in concentrator automatically is adopted with personalization
Set task；
Step a2, the power concentrator are directed to corresponding electric energy using the personalized acquisition scheme with personalized acquisition tasks
Table carries out electricity related data and is acquired with electric energy meter associated event data；Wherein, the personalized acquisition scheme includes common electricity
Energy acquisition scheme, event acquisition scheme and report scheme；The personalization task includes to configure individual character for each user group
The task execution frequency of change；
Step a3, the power concentrator establish the normal electricity consumption that electric energy meter corresponds to day part to each electric energy meter administered respectively
Range, and detect by power concentrator the power consumption data of user corresponding to each electric energy meter：
When power concentrator judges user when the electricity consumption of corresponding period is beyond normal electricity consumption range of the user in the period,
The electric energy meter data of the user are reported to main website of power office and do early warning processing by the power concentrator；Otherwise, the electric power collection
Middle device not reports the electric energy meter data of the user to give main website of power office.
9. the self-learning method of power concentrator according to claim 7, which is characterized in that in steps of 5, the electric power collection
The exception information detected is sent to power concentrator manufacturer backstage by middle device according to predeterminated frequency.
10. the self-learning method of power concentrator according to claim 7, which is characterized in that the packet parsing strategy number
It is corresponded with the message request transmitted by main website of power office according to the parsing strategy in library.
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| CN112927488A (en) * | 2021-02-09 | 2021-06-08 | 杭州极能科技有限公司 | Intelligent water affair management system |
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