CN108737489A - Energy management cloud platform based on expert system mixed inference matches electrical equipment method for diagnosing faults - Google Patents
Energy management cloud platform based on expert system mixed inference matches electrical equipment method for diagnosing faults Download PDFInfo
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- CN108737489A CN108737489A CN201810237748.1A CN201810237748A CN108737489A CN 108737489 A CN108737489 A CN 108737489A CN 201810237748 A CN201810237748 A CN 201810237748A CN 108737489 A CN108737489 A CN 108737489A
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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
- H04B—TRANSMISSION
- H04B3/00—Line transmission systems
- H04B3/54—Systems for transmission via power distribution lines
- H04B3/542—Systems for transmission via power distribution lines the information being in digital form
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/04—Processing captured monitoring data, e.g. for logfile generation
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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]
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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
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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Abstract
Match electrical equipment method for diagnosing faults the invention discloses a kind of energy management cloud platform based on expert system mixed inference, data in energy management cloud platform database are analyzed and handled, judge the failure that electrical equipment is likely to occur, it takes appropriate measures for different faults, realizes the fault diagnosis of electrical equipment.Energy management cloud platform based on expert system mixed inference with electrical equipment fault diagnosis system is made of sensor assembly, ARM embedded integrations equipment, broadband PLC module, data concentrator, ethernet module, integrated treatment computer, mobile phone terminal and cloud platform.Sensor assembly acquires relevant parameter, and ARM embedded integration equipment handles relevant parameter, then by being transmitted in data concentrator in the PLC module of broadband, cloud platform is sent data to finally by ethernet module.The inference engine of expert system system of cloud platform is handled and is matched to data, the final fault diagnosis for realizing electrical equipment.
Description
Technical field
The present invention relates to a kind of being based on electrical equipment New Fault Diagnosis Method, especially one kind for energy management cloud platform
The energy management cloud platform of expert system mixed inference matches electrical equipment method for diagnosing faults.
Background technology
During construction and development, energy is always be unable to do without as basic supply.But there are the uses of some energy
Unreasonable phenomenon either electrical equipment breaks down and cannot be resolved in time, so will result in the wave of the middle energy
Take, increased financial burden, if can be to implementing effectively rational Managed Solution, can not only save a large number of spending can be with
Advanced equipment is introduced to improve work quality.
As the attention to the quality of education is higher and higher, infrastructure and working environment also gradually become perfect.In
The advance of electrical equipment, the advance of the working environment and infrastructure that are also demonstrated by a certain extent.As long as electricity consumption
Just inevitably there is the case where failure in equipment, fail in time to make it corresponding decision once electrical equipment breaks down, gently then
It is heavy then so that entire electricity system paralyses state prevent task from being completed in time, influences work quality,
Either what kind of consequence is all detrimental to management and development.So the fault diagnosis of electrical equipment just seems very heavy
It will be with necessity.
Internet of Things is also more popular in recent years new technology, Internet of Things can allow all things on earth by internet be connected with each other from
And construct intranet network, communication can be carried out according to certain communication protocol and exchange that in Internet of Things between arbitrary objects
This information.The information of electrical equipment circulates in Internet of Things network just forms electrical quantity supplemental characteristic, realizes and uses for cloud platform
The fault diagnosis of electric equipment creates condition.
Cloud platform is the development of cloud computing technology and the emerging technology occurred, cloud platform can run the meter that developer writes
Calculation machine program, the expert system used such as the present invention.Cloud platform can also provide corresponding service to requestor simultaneously, such as read
Access is according to the either services such as certain execution operation.Cloud platform can also store a large amount of data for corresponding computer program into
Row analysis and processing, so that better service can be provided for requestor.
Invention content
The purpose of the present invention be exactly in order to solve to occur in energy management electrical equipment with it is unreasonable and cannot and
Shi Faxian faulty equipments and caused by the wasting of resources the problem of, it is proposed that a kind of energy management based on expert system mixed inference
Cloud platform matches electrical equipment method for diagnosing faults, which utilizes object with electrical equipment fault diagnosis system
Ambient enviroment relevant parameter and the running parameter of electrical equipment itself when sensor acquisition electrical equipment in networking works,
Relevant parameter is sent to ARM embedded integration equipment first and does data respective handling, then will treated data according to making by oneself
Adopted communication protocol is sent to corresponding data concentrator, then the data packing of concentrator is sent to the expert system mixed inference of cloud platform
Mechanism carries out the processing and matching of data, finally realizes the purpose of the fault diagnosis of electrical equipment.
For the purpose for realizing above-mentioned, the present invention adopts the following technical scheme that：
A kind of energy management cloud platform based on expert system mixed inference matches electrical equipment fault diagnosis system, it is wrapped
Include sensor assembly, ARM embedded integrations equipment, broadband PLC module, data concentrator, ethernet module, integrated treatment calculating
Machine, mobile phone terminal and cloud platform.
Wherein,
Sensor assembly acquisition influences the electrical quantity parameter of the environmental correclation parameter and electrical equipment of electrical equipment work, than
The motor speed parameter of such as temperature, humidity, intensity of illumination and suction pump；
ARM embedded integration integration of equipments ARM microprocessor minimum system, polylith electric energy measure chip, E2PROM and
Communication interface circuit.Wherein, ARM microprocessor minimum system is the circuit that ensures ARM microprocessor and can work, electric energy measurement
Chip is for obtaining the related datas such as the active power, reactive power and power factor of electrical equipment；E2PROM is mainly used
It is used for subsequent data transmission and processing in storing some ephemeral datas, communication interface mainly to realize that electrical equipment is embedded with ARM
The interaction of the interaction of device data and cloud platform and ARM embedded devices.
The effect of broadband PLC module is only can to realize the interior space unit either exterior space with a power transmission line
The electrical equipment of unit carries out data transmission with data concentrator, while can also receive the correlation that data concentrator is sent out and refer to
It enables.
Data concentrator mainly stores each electrical equipment in each interior space unit either exterior space unit
Related data, communicated with cloud platform finally by ethernet module, at the same can also receive cloud platform transmission instruction.
The main function of ethernet module is to provide two-way communication channel for data concentrator and cloud platform.
On the one hand integrated treatment computer is that can realize that user checks electrical equipment by friendly human-computer interaction interface
Fault condition, on the other hand be then relevant order to be sent out to ARM embedded devices by cloud platform at any time, to make
Electrical equipment executes correctly operation (booting or shutdown etc. operations).
On the one hand mobile phone terminal can monitor the failure logging of any one electrical equipment by friendly people's interactive interface
Situation.The electrical equipment that diagnostic system is failed correctly to make fault diagnosis by another aspect staff is recorded by mobile phone
Come, the content of record includes the information such as fault type, fault time, IP address under electrical equipment code, pattern, and will record
It is uploaded in cloud platform.
Cloud platform is to carry out data processing according to the parameter uploaded, and then expert system mixed inference mechanism is according to processing
Data Matching expert system knowledge base afterwards, the purpose of the final fault diagnosis for realizing electrical equipment.
A kind of energy management cloud platform based on expert system mixed inference matches electrical equipment method for diagnosing faults, utilizes
Ambient enviroment relevant parameter when sensor acquisition electrical equipment in Internet of Things works, such as temperature and intensity of illumination environment ginseng
Number and electrical equipment itself running parameter, such as suction pump motor speed running parameter.Sensors all first are all
Self-check program can be executed, if sensor failure, by fault message by ARM embedded integration equipment packages at data frame
It is sent to concentrator.Otherwise, sensor starts to acquire relevant parameter, then send the collected relevant parameter of sensor to ARM
Embedded integration equipment does data processing, i.e., data being packaged into the format of data frame, (each frame data are only concerning an electricity consumption
Equipment relevant parameter), the format of wherein data frame has to comply with data frame format specified in customized communication protocol.If
When ARM embedded integration equipment obtains electrical equipment work, ambient enviroment relevant environmental parameter and electrical equipment itself is electrical
When measuring parameter, these parameters are stored temporarily in the E of ARM embedded integration equipment2In PROM, when collected parameter next time
When consistent with last parameter, any processing is not done to data at this time.Otherwise ARM embedded integrations equipment every 5 seconds by room
Interior space cell or all data frame of exterior space unit are uploaded in data concentrator and store.Interior space list
Member or all data of exterior space unit empty E after uploading2PROM.When concentrator obtains the data frame of whole region
When, all data frames are packaged and are sent to cloud platform for expert system mixed inference mechanism pair by ethernet module by concentrator
Data packet is handled and is matched, and finally realizes the purpose of the fault diagnosis of electrical equipment.By expert system hybrid-inference engine
After system is to the fault diagnosis of electrical equipment, each electrical equipment failure can be checked with integrated treatment computer and mobile phone terminal at any time
Type, fault time and the information such as the reason of may cause the failure, while integrated treatment computer and mobile phone terminal can be with
Realize remote switch electrical equipment.
It is described that relevant parameter is acquired by Internet of Things, finally data are sent to cloud platform for expert system hybrid-inference engine
System is analyzed and is matched to data, to realize the fault diagnosis to electrical equipment.
The present invention mainly utilizes following technology：
1, embedded system technology
In the fault diagnosis system, since the operation irregularity of sensor causes expert system mixed inference mechanism to electricity consumption
Equipment fault diagnosis is unsuccessfully unallowable, so must be to the work of sensor before sensor formally acquires relevant parameter
Make state and carries out self-test.Sensor is connected directly with ARM embedded integration equipment, is write corresponding sensor self-check program and is burnt
Enter in ARM microprocessor, the program meaning will detect that the related physical quantity of tested sensor is brought into really with the ADC in ARM
The data that structure after fixed functional relation is acquired with tested sensor compare, and illustrate if data are consistent with result tested
Sensor does not break down, can acquire relevant parameter, otherwise illustrates that being tested sensor has occurred and that failure and by failure
It is sent in the form of data packet to cloud platform to enrich the knowledge base of expert system, and data deposit unit exception database is worked as
In.Self-test is carried out by ARM microprocessor due to sensor again, so must self-test, the side of self-test first be carried out to ARM microprocessor
Formula chip producer can provide, and Self-Check Report is consistent with the processing mode of the Self-Check Report of sensor.ARM microprocessor is responsible for simultaneously
Relevant parameter is packaged into data frame according to the data frame format of self-defining communication protocol to data, also microprocessor driven with
Too net module communicates related data packets with cloud platform, these are required for embedded system technology to support.
2, communication protocol
The relevant parameter of upload preferably handle and classify in order to facilitate cloud platform, the ARM insertions in the system
Communication protocol between formula integrated equipment and data concentrator is to use self-defining communication protocol.The data of self-defining communication protocol
Frame format is different by wrapping head 0x80, IP address 1, IP address 2, IP address 3, electrical equipment identification code, sensor identification code, sensor
Normal flag bit, command word, electrical quantity related data, check code and packet tail 0x26.The packet head and packet tail of data frame are in order to know
The beginning and termination of track data packet, IP address 1 are the IP address of the data concentrator of a certain bulk region, and IP address 2 is a certain
The IP address of a certain sub-regions in bulk region, IP address 3 are then some rooms in a certain sub-regions in a certain bulk region
The IP address of interior space cell either exterior space unit.Electrical equipment identification code is the exclusive mark of each electrical equipment
Will, likewise, sensor identification code is the exclusive mark of each sensor, sensor abnormality flag bit then indicates sensor
Working condition, different command word codes indicate different electrical quantity related datas, such as voltage, electric current and power factor number
According to.Check code is for judging whether receiving terminal is properly received the foundation of transmitted data frame.
The regional database that cloud platform can match cloud platform by self-defining communication protocol as parsing just will be apparent that
Know some region of a certain device-dependent electrical quantity parameter and positioning failure equipment in ground.
3, Wi-Fi/4G/3G technologies
Wi-Fi is a kind of technology for allowing electronic equipment to be connected to a WLAN, can be allowed using Wi-Fi technology
Mobile phone terminal and integrated treatment computer access the WLAN of each indoor and outdoor spaces subregion so that mobile phone terminal
Cloud platform is accessed with integrated treatment computer, realizes that related data exchanges.And 4G and 3G technology mobile phone terminal are carried out with cloud platform
Second of channel of data exchange.
4, ethernet technology
Ethernet module connects data concentrator and cloud platform, and communications conduit is provided for both sides.Communication protocol therein is
TCP/IP communication agreement carries out the exploitation of Socket network programs by Python and is mounted on integrated treatment computer and can pass through
Network development program is communicated with cloud platform at any time, understands the information such as working condition and the fault diagnosis situation of electrical equipment, together
When also can by cloud platform to ARM embedded devices send related command make electrical equipment execute relevant operation.It can also lead to
The software development that Android either IOS carry out mobile phone terminal is crossed, the communication between mobile phone terminal and cloud platform is realized, has
Also realize that staff fails diagnostic system correctly to make the use of fault diagnosis outside function identical with integrated treatment computer
Electric equipment is recorded by mobile phone terminal, when the content of record includes fault type under electrical equipment code, pattern, failure
Between, the information such as IP address, and record is uploaded in cloud platform by mobile phone terminal.
5, broadband PLC technology
Broadband PLC technology full name is broadband power carrier communication, and broadband PLC technology is distinctive logical in electric system
There is the OFDM scheme of 1536 subcarriers, data can be realized by high-tension bus-bar for letter mode, bandwidth carrier
Data transmission is interfered with each other due to be not present in data transmission procedure using OFDM scheme, and transmission line
Road is to be laid out using original electric wire to eliminate the layout of other communication lines, there is certain economy and practicability.At this
In system, broadband PLC technology is applied between ARM embedded devices and data concentrator.Broadband PLC technology has traffic rate
The features such as fast and strong interference immunity.
6, expert system mixed inference mechanism
Expert system is to operate in a computer program of cloud platform, usually by human-computer interaction interface, knowledge base, reasoning
6 parts such as machine, integrated database, interpreter, knowledge acquisition are constituted.Human-computer interaction interface is by integrated treatment computer and mobile phone
Terminal provides, and knowledge base is the knowledge for being used to store expert and providing, and the quality institute of entire expert system mixed inference mechanism
, it wherein include institute it is useful " if：(precondition), then：(drawing a conclusion) " form expresses knowledge rule.In the event
Hinder in diagnostic expert system mixed inference mechanism, knowledge base is expressed as：" (if microprocessor self-test error), (micro- place
Manage device failure) if, (sensor parameters mistake), (sensor fault) and if (relevant parameter is abnormal), (is used
Electric equipment failure) etc. ", expert system mixed inference mechanism matches expert system repeatedly according to the phenomenon of the failure of current power equipment
Rule in knowledge base of uniting, obtains new conclusion, the reason of to obtain causing electrical equipment failure.Or assume that current use
The failure cause of electric equipment matches the rule in expert system knowledge base, obtains new conclusion repeatedly, to find that this reason is produced
Raw electrical equipment phenomenon of the failure.Wherein, the mixed inference mechanism of expert system first can parse the data packet of upload,
To obtain the related data information of the electrical equipment in data packet.Then expert system mixed inference mechanism is according to relevant
The reason of preliminary forward reasoning of knowledge base of data information matching expert system generates the data.And then assumed by expert system
The related data of electrical equipment under this reason of the further backward reasoning of knowledge base of the reason of primarily determining matching expert system
Information.The data that finally expert system backward reasoning is come out are compared with the data of upload, if the close then reasoning of result is correct,
And expert system knowledge base is written by cloud platform.Otherwise electrical equipment fault diagnosis result by manual record and is uploaded to expert system
System, and expert system knowledge base is written by cloud platform.Integrated database is for storing initial data needed for reasoning process
(data packet that data concentrator uploads), intermediate data and result data.Interpreter can be made centainly according to the enquirement of user
The explanation of degree so that expert system is more humane.In the expert system, equipment of the knowledge acquisition then from cloud platform foundation
Normal data library and unit exception database.
The present invention effect be：A kind of energy management cloud platform based on expert system mixed inference with electrical equipment therefore
Hinder diagnostic method, it can solve to occur in energy management electrical equipment with unreasonable and cannot find that failure is set in time
It is standby and caused by the wasting of resources the problem of, fully rely on Internet of Things and expert system mixed inference mechanism.Whole system utilizes object
In intranet network respective sensor acquire data send to cloud platform expert system mixed inference mechanism carry out data analysis and
Matching, to realize the fault diagnosis of electrical equipment.
Description of the drawings
Fig. 1 is energy management cloud platform with electrical equipment fault diagnosis system structure chart.
Fig. 2 is indoor and outdoor spaces regional structure figure.
Fig. 3 is interior space cellular construction figure.
In figure 3, the equipment mark code of 1 expression printer, 2 indicate the equipment mark code of air-conditionings, the equipment that n indicates computer
Identification code.
Fig. 4 is exterior space cellular construction figure.
In Fig. 4, x indicates that the equipment mark code of street lamp, y indicate the equipment mark code of suction pump.
Fig. 5 is self-defining communication protocol data frame format figure.
Fig. 6 is expert system mixed inference mechanism reasoning flow chart.
Fig. 7 is that energy management cloud platform matches electrical equipment method for diagnosing faults flow chart.
Specific implementation mode
The present invention will be further described with embodiment below in conjunction with the accompanying drawings.
In Fig. 1, energy management cloud platform with electrical equipment fault diagnosis system structure by the affiliated area of space of electrical equipment,
Cloud platform, mobile phone terminal and integrated treatment computer are constituted.
Region belonging to electrical equipment is divided into two parts, and a part is interior space region, another portion
It is exterior space region to divide.The related data of each electrical equipment in each subregion is classified and is summarized by region, finally leads to
It crosses Ethernet and transmits related data to cloud platform to come for cloud platform processing and match related data.Meanwhile staff
It can utilize Wi-Fi, 4G and 3G technology either integrated treatment computer at any time can using Ethernet by mobile phone terminal
Access the fault message that cloud platform inquires a certain specific electrical equipment in a certain region.Staff can also by mobile phone terminal or
Person be integrated treatment computer record fail by the faulty equipment information of Accurate Diagnosis and using Wi-Fi, 4G and 3G technology or
Fault message is uploaded to cloud platform by Ethernet.The knowledge base that cloud platform enriches expert system further according to the fault message of upload supplies
The data of next time are matching.
In Fig. 2, interior space regional structure is consistent with exterior space regional structure, and each area of space is several
The array manifold that space cell is constituted, indoor and outdoor spaces unit 1.1 therein to indoor and outdoor spaces unit 1.n are all same
Row array, that is, indoor and outdoor spaces subregion 1, it is another row battle array that m.1 indoor and outdoor spaces unit, which arrives indoor and outdoor spaces unit m.n all,
Row are indoor and outdoor spaces subregion m.Each indoor and outdoor spaces subregion can be with there are one indoor and outdoor spaces sub-district numeric field datas
Concentrator, the data concentrator store each electrical equipment in each indoor and outdoor spaces unit of the indoor and outdoor spaces subregion
Electrical data.Last each indoor and outdoor spaces subregion data concentrator is sent out the data respectively stored by PLC technology
These data are stored and are utilized customized by external space region total data concentrator sent to the room, the total data concentrator
Communication protocol send data packing to ethernet module, finally by these data packets are sent to cloud platform for special with outer net module
Family's system inference mechanism is handled and is matched to these data.
In Fig. 3, the electrical equipments such as printer, air-conditioning and desktop computer are placed in interior space unit, each electricity consumption is set
Standby to be equipped with the sensor for measuring its related electric amount parameter, these mating sensors are connect with ARM embedded integration equipment,
Purpose is that the related electric amount parameter that will be measured in real time is sent in real time to ARM embedded integration equipment and handled data for it.
Finally data are completed with the data concentrator of the interior space subregion by PLC by ARM embedded integrations equipment to communicate.And
The equipment mark code of the equipment mark code that each electrical equipment and its mating sensor have oneself exclusive, printer is 1,
Mating sensor identification code is S1, the equipment mark code of air-conditioning is 2, and mating sensor identification code is S2, desktop computer
Equipment mark code is n, and mating sensor identification code is Sn, the equipment mark code of each interior space unit be it is general,
Because having self-defining communication protocol to position the specific location of electrical equipment.User and staff may be by mobile phone terminal
Integrated treatment computer is inquired in the interior space unit by Wi-Fi/4G/3G or ethernet access cloud platform and is respectively used
The operating status and fault message of electric equipment.But only there is staff upload cloud platform to fail the failure correctly diagnosed
The permission of facility information.
In Fig. 4, the large-scale electric equipments such as street lamp and suction pump are installed in exterior space unit, each electrical equipment is all matched
There are the sensor for measuring its related electric amount parameter, these mating sensors to be connect with ARM embedded integration equipment, it is therefore an objective to
The related electric amount parameter measured in real time is sent in real time to ARM embedded integration equipment, data are handled for it.Finally by
ARM embedded integrations equipment is completed data with the data concentrator of the interior space subregion by PLC and is communicated.And each is used
The equipment mark code of the equipment mark code that electric equipment and its mating sensor have oneself exclusive, street lamp is x, mating biography
Sensor identification code is Sx, the equipment mark code of suction pump is y, and mating sensor identification code is Sy, each exterior space unit
Equipment mark code be general because having self-defining communication protocol to position the specific location of electrical equipment.In the exterior space
In unit, only staff may be by mobile phone terminal integrated treatment computer by Wi-Fi/4G/3G or with
Too net accesses the operating status and fault message that cloud platform inquires each electrical equipment in the interior space unit, while he also has
Upload the permission that cloud platform fails the faulty equipment information correctly diagnosed.
In Fig. 5, the frame format of self-defining communication protocol is set by packet head 0x80, IP address 1, IP address 2, IP address 3, electricity consumption
Standby identification code, sensor identification code, sensor abnormality flag bit, command word, electrical quantity related data, check code and packet tail 0x26
It constitutes.Packet in data frame format is first and packet tail is to distinguish the place that a frame data start and terminate, and IP address 1 records
Be a certain bulk region data concentrator IP address, IP address 2 record be a certain sub-regions in a certain bulk region
IP address, the record of IP address 3 is that some interior space unit is either outdoor in a certain sub-regions in a certain bulk region
The IP address of space cell.As long as parsing data frame obtains these three IP address and explicitly knows the specific of electrical equipment
Position.Electrical equipment identification code is the exclusive mark of each electrical equipment, likewise, sensor identification code is each sensing
The exclusive mark of device, sensor abnormality flag bit then indicate the working condition of sensor, and just common 0x00 is indicated, abnormal then use
0x01 is indicated.Different command codes indicates to upload the different electrical data of electrical equipment, such as voltage, electric current and power factor
Data.Check code is for judging whether receiving terminal is properly received the foundation of transmitted data frame.
In Fig. 6, expert system mixed inference mechanism be included in expert system in, and expert system operate in cloud platform it
In.To obtain the correct fault diagnosis result of electrical equipment it is necessary that cloud platform and expert system normal operation, stream
Journey is as follows.
The first step is that initialization cloud platform and expert system, i.e. cloud platform have configured regional database, equipment normal data
Library and unit exception database, and the running environment of configuration expert system.Expert system configures the related ginseng of each operational module
Number and associated documents.Cloud platform and expert system configuration enter second step after completing.
Second step is the data packet of expert system mixed inference mechanism parsing bottom upload to obtain corresponding electrical equipment
Related data.Enter third after the completion of resolve packet to walk.
Third step is that expert system mixed inference mechanism show that electrical equipment can according to the data of parsing using forward reasoning
The phenomenon of the failure that can occur completes Forward Reasoning and then enters the 4th step.
4th step is expert system mixed inference mechanism infers the phenomenon of the failure come using backward reasoning according to third step
It obtains the related data of electrical equipment, completes backward reasoning process and then enter the 5th step.
5th step be judge by expert system mixed inference mechanism infer Lai equipment-related data with parsing bottom on
Pass whether data are equal or close, and if being close between the two, that just illustrates expert system mixed inference mechanism reasoning
Correctly, i.e., it makes correctly fault diagnosis to correspondingly electrical equipment.And by corresponding diagnostic message include in human-computer interaction
On interface, while cloud platform will otherwise, that just illustrates expert system mixed inference mechanism inference errors, i.e., it is to corresponding electricity consumption
Equipment, which is made, fails correctly fault diagnosis.At this point, system will be prompted to the failure letter that staff records corresponding electrical equipment
It ceases and is uploaded to cloud platform.It completes the step and then enters the 6th step.
6th step is that cloud platform believes the failure that the reasoning results of expert system mixed inference mechanism and staff upload
Cease write device normal data library and unit exception database.The knowledge base that these information are written to expert system simultaneously, so as to
Expert system mixed inference mechanism more accurately carries out fault diagnosis next time to electrical equipment.
In Fig. 7, describes entire energy management cloud platform and match electrical equipment method for diagnosing faults implementation process, flow is such as
Under.
The first step is equally also to ensure that ARM is embedded under conditions of ensuring cloud platform and expert system even running
The normal work of integrated equipment and sensor.So ARM embedded integrations equipment once power on operation ARM inside self-check program
Judge whether ARM breaks down, if ARM embedded integration equipment does not break down, then runs the self-test of sensor
Program, to judge whether sensor breaks down.And cloud platform is by the self-inspection data write device of ARM embedded integration equipment
The knowledge base of expert system is finally enriched in normal data library.Enter third if sensor does not also break down to walk, and
The knowledge base of expert system is finally enriched in the self-inspection data write device normal data library of sensor by cloud platform.If ARM is embedding
Enter formula integrated equipment to break down, then stops the acquisition of electrical equipment related data, subsequently enter second step.If sensor is sent out
Failure has been given birth to, then has stopped the acquisition of electrical equipment related data, subsequently enters second step.
Second step is that staff has found that some region of data of human-computer interaction interface are blank, and staff reaches corresponding
Region is detected ARM embedded integrations equipment and sensor, and by the failure phase of ARM embedded integrations equipment and sensor
It closes information and cloud platform is uploaded to by mobile phone terminal either integrated treatment computer, while cloud platform writes these fault datas
Enter unit exception database, and enriches the knowledge base of expert system.
Third step is the related electric amount parameter number that the sensor mating with electrical equipment will acquire electrical equipment in real time
According to.
4th step be the electrical equipment related electric amount supplemental characteristic that second step sensor is acquired is sent it is embedded to ARM
Integrated equipment is digitized processing for it to related electric amount supplemental characteristic.After the processing for completing related electric amount supplemental characteristic
Into the 5th step.
5th step is that the data that will be deposited in each indoor and outdoor spaces region total data concentrator are led to according to customized
Letter protocol encapsulation carries out data packing again at data frame, sends data packets to cloud platform finally by ethernet module, then
Into the 6th step.
6th step is the fault diagnosis for allowing expert system mixed inference mechanism to carry out electrical equipment, subsequently enters the 7th step.
7th step is then to judge that electricity consumption is set to the result of electrical equipment fault diagnosis according to expert system mixed inference mechanism
It is standby whether to break down, it does not break down if electrical equipment is diagnosed, cloud platform is by normal related data write device
Normal data library simultaneously shows relevant diagnostic message in man-machine interface.Otherwise, cloud platform is different by fault related data write device
Regular data library simultaneously shows relevant fault message in man-machine interface.All expert system knowledge is written in related data by last cloud platform
Library, preferably to allow expert system mixed mechanism to carry out the fault diagnosis of electrical equipment.
Claims (5)
1. a kind of energy management cloud platform based on expert system mixed inference matches electrical equipment method for diagnosing faults, the electricity consumption
Fault Diagnosis of Mechanical Equipment includes the interior interior space unit or exterior space unit for possessing a variety of electrical equipments；In electricity consumption
Be distributed with around equipment sensor assembly, ARM embedded integrations equipment, broadband PLC module, data concentrator, ethernet module,
Integrated treatment computer, mobile phone terminal and cloud platform；
Sensor assembly acquisition influences the electrical quantity parameter of the environmental correclation parameter and electrical equipment of electrical equipment work；
ARM embedded integration equipment realizes acquisition, the processing of related data and the driving of communication interface of sensor；
The effect of broadband PLC module is only can to realize interior space unit either exterior space unit with a power transmission line
Electrical equipment carry out data transmission with data concentrator, while the dependent instruction that data concentrator is sent out can also be received；
Data concentrator mainly stores the phase of each electrical equipment in each interior space unit either exterior space unit
Data are closed, are communicated with cloud platform finally by ethernet module, while the instruction of cloud platform transmission can also be received；
The main function of ethernet module is to provide two-way communication channel for data concentrator and cloud platform；
On the one hand integrated treatment computer is that can monitor the fault condition of electrical equipment by friendly human-computer interaction interface,
On the other hand be then can relevant order be sent out to ARM embedded devices by cloud platform at any time so that electricity consumption set
It is standby to execute correctly operation；
On the one hand mobile phone terminal can monitor the failure logging situation of any one electrical equipment by friendly people's interactive interface.
The electrical equipment that diagnostic system is failed correctly to make fault diagnosis by another aspect staff is recorded by mobile phone terminal
And it is uploaded to cloud platform.
2. the energy management cloud platform according to claim 1 based on expert system mixed inference matches electrical equipment failure
Diagnostic method, it is characterised in that customized communication protocol and the expert system mixed inference mechanism in cloud platform.
3. the energy management cloud platform based on expert system mixed inference is examined with electrical equipment failure according to claim 2
The self-defining communication protocol of disconnected method, data frame format are set by packet head 0x80, IP address 1, IP address 2, IP address 3, electricity consumption
Standby identification code, sensor identification code, sensor abnormality flag bit, command word, electrical quantity related data, check code and packet tail
0x26。
4. the expert system with electrical equipment method for diagnosing faults of the energy management cloud platform based on expert system mixed inference
Mixed inference mechanism, data handling procedure are：By obtained data packet according to the IP address 1 in data frame to electrical equipment
General area is positioned, and then determines the electrical equipment of specifically which floor then according to the IP address 2 in data frame
Classification.Specific interior space unit or exterior space unit are finally finally navigated to according to the IP address 3 in data frame
Electrical equipment.So database can be established by region.There are the identification code of electrical equipment, a mark in a data frame
Know the electrical equipment that code corresponds to one, cloud platform can establish electrical equipment database according to the identification code in data frame.
Meanwhile there is identification code and the abnormality mark position of sensor in a data frame.Cloud platform is according to sensor mark in data frame
Code is known with abnormality mark position to establish the database about sensor.The expert system hybrid-inference engine that can be run in cloud platform
System is analyzed and is matched to the electrical equipment related data in data packet in conjunction with sensor database, and cloud platform is according to expert
Mixed inference mechanism of uniting establishes the handling result of data the database of record electrical equipment working condition：Database working properly
With operation irregularity database, database and operation irregularity database working properly can also enrich the knowledge of expert system simultaneously
Library；
The reasoning process of the mixed inference mechanism of expert system is：Expert system mixed inference mechanism is according to related after processing first
Data information matching expert system the preliminary forward reasoning of knowledge base the reason of generating the data.Assumed just by expert system again
The dependency number of electrical equipment under the determining further backward reasoning of knowledge base of reason matching expert system this reason of step it is believed that
Breath.The data that finally expert system backward reasoning is come out are compared with the data of upload, and reasoning is correct if comparison result is close,
And expert system knowledge base is written by cloud platform.Otherwise electrical equipment fault diagnosis result by manual record and is uploaded to expert system
System, and expert system knowledge base is written by cloud platform.Expert system mixed inference mechanism carries out electrical equipment according to knowledge base
Fault diagnosis, the reason of obtaining the fault type of each electrical equipment and failure may be caused etc. information.
5. a kind of energy management cloud platform based on expert system mixed inference according to claim 1 matches electrical equipment
Method for diagnosing faults, which is characterized in that the acquired environment of expert system mixed inference mechanism combination sensor of the cloud platform
Relevant parameter and the electrical quantity parameter of electrical equipment itself and the data packet of upload pass through expert system mixed inference mechanism logarithm
According to the parsing, analysis and matching of packet, to realize the fault diagnosis of electrical equipment, and then corresponding decision is made.
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