CN109614664A - Power distribution network switch cabinet state analysis method and system - Google Patents

Power distribution network switch cabinet state analysis method and system Download PDF

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Publication number
CN109614664A
CN109614664A CN201811391168.4A CN201811391168A CN109614664A CN 109614664 A CN109614664 A CN 109614664A CN 201811391168 A CN201811391168 A CN 201811391168A CN 109614664 A CN109614664 A CN 109614664A
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China
Prior art keywords
power distribution
distribution network
information
data
switchgear
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CN201811391168.4A
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Chinese (zh)
Inventor
张明达
王荣历
王海斌
吕峰
王思谨
江静
许耀杰
张莹
胡盛
何平波
王海波
宋伟
卓科权
严青
袁海达
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Ningbo Hengchen Electric Power Construction Co Ltd
Ningbo Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
Original Assignee
Ningbo Hengchen Electric Power Construction Co Ltd
Ningbo Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
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Application filed by Ningbo Hengchen Electric Power Construction Co Ltd, Ningbo Power Supply Co of State Grid Zhejiang Electric Power Co Ltd filed Critical Ningbo Hengchen Electric Power Construction Co Ltd
Priority to CN201811391168.4A priority Critical patent/CN109614664A/en
Publication of CN109614664A publication Critical patent/CN109614664A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/30Circuit design
    • G06F30/36Circuit design at the analogue level
    • G06F30/367Design verification, e.g. using simulation, simulation program with integrated circuit emphasis [SPICE], direct methods or relaxation methods
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]

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  • Engineering & Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Power Engineering (AREA)
  • Microelectronics & Electronic Packaging (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The present invention provides a kind of power distribution network switch cabinet state analysis method and system.This method comprises: including: the environmental information of real-time monitoring distal end power distribution network switchgear;Data processing is carried out to the environmental information, generates analysis data;By by the analysis data input fault model to obtain probability of malfunction;And warning message is generated according to the probability of malfunction.This disclosure relates to power distribution network switch cabinet state analysis method and system, it is possible to prevente effectively from the generation of power distribution network switchgear failure.Effectively improve the safety and reliability of power supply line's operation.

Description

Power distribution network switch cabinet state analysis method and system
Technical field
This disclosure relates to computer information processing field, in particular to a kind of power distribution network switch cabinet state analysis side Method and system.
Background technique
Switch cabinet equipment extensive utilization in the power system, carries the important function such as route switching, line fault protection, Its safe and stable operation is significant for the safety guarantee of power supply line.In long-term operational process, contact in switchgear Contact resistance have increase, cause the increase of contact temperature rise, cause equipment fault, lead to the accidents such as equipment damage, it is fixed to need Phase carries out inspection.
In addition, commonly using insulation and/or arc extinguishing of the sulfur hexafluoride gas as electrical equipment in power industry.Sulfur hexafluoride Electric strength is 2.5 times of nitrogen under same pressure, and breakdown voltage is 2.5 times of air, and arc extinguishing ability is 100 times of air, It is a kind of super-pressure insulating dielectric materials of new generation better than between air and oil, is often used breaker, high-tension transformer etc. In high-tension electricity equipment, therefore the monitoring of the gas concentration is of great significance to switch cabinet equipment normal operation.
Therefore, it is necessary to a kind of new power distribution network switch cabinet state analysis methods and system.
Above- mentioned information are only used for reinforcing the understanding to the background of the disclosure, therefore it disclosed in the background technology part It may include the information not constituted to the prior art known to persons of ordinary skill in the art.
Summary of the invention
In view of this, the disclosure provides a kind of power distribution network switch cabinet state analysis method and system, it is possible to prevente effectively from matching The generation of power network switch cabinet failure.The safety and reliability of power supply line's operation is effectively improved,
Other characteristics and advantages of the disclosure will be apparent from by the following detailed description, or partially by the disclosure Practice and acquistion.
According to the one side of the disclosure, a kind of power distribution network switch cabinet state analysis method is proposed, this method comprises: prison in real time Survey the environmental information of distal end power distribution network switchgear;Data processing is carried out to the environmental information, generates analysis data;By by institute It states in analysis data input fault model to obtain probability of malfunction;And warning message is generated according to the probability of malfunction.
In a kind of exemplary embodiment of the disclosure, further includes: the environmental information of distal end is transmitted to local clothes Device be engaged in carry out subsequent processing.
In a kind of exemplary embodiment of the disclosure, further includes: believed by the history environment of the power distribution network switchgear Breath constructs the fault model.
In a kind of exemplary embodiment of the disclosure, further includes: obtain the history environment letter of the power distribution network switchgear Breath;Obtain the corresponding historical failure information of history environment information of the power distribution network switchgear;And the history environment is believed Breath determines the fault model by training with mathematical model described in the historical failure information input.
In a kind of exemplary embodiment of the disclosure, the history environment information for obtaining the power distribution network switchgear is corresponding Historical failure information includes: the corresponding history field data of history environment information for obtaining the power distribution network switchgear;Obtain institute State the corresponding historic state parameter of history environment information of power distribution network switchgear;And obtain the history of the power distribution network switchgear The corresponding historical failure reason of environmental information.
In a kind of exemplary embodiment of the disclosure, the mathematical model includes: neural-network learning model and limited Element analysis model.
In a kind of exemplary embodiment of the disclosure, the environmental information of real-time monitoring distal end power distribution network switchgear includes: The temperature information of real-time monitoring distal end power distribution network switchgear;The humidity information of real-time monitoring distal end power distribution network switchgear;Prison in real time Survey the gas concentration information of distal end power distribution network switchgear.
In a kind of exemplary embodiment of the disclosure, data processing is carried out to the environmental information, generates analysis data Include: that processing of unpacking is carried out to the environmental information, generates the first data;First data are decoded processing, are generated Second data;And second data are subjected to error correcting and detecting processing, generate the analysis data.
In a kind of exemplary embodiment of the disclosure, by the environmental information of distal end be transmitted to local server with into Row subsequent processing includes: that the environmental information is transmitted to local server to carry out subsequent processing by NB-IoT network.
According to the one side of the disclosure, propose that a kind of power distribution network switch cabinet state analytical equipment, the device include: monitoring mould Block, the environmental information for real-time monitoring distal end power distribution network switchgear;Data module, for carrying out data to the environmental information Processing generates analysis data;Model module, for by the way that probability of malfunction will be generated in the analysis data input fault model; And alarm module, for generating warning message according to the probability of malfunction.
According to the one side of the disclosure, a kind of electronic equipment is proposed, which includes: one or more processors; Storage device, for storing one or more programs;When one or more programs are executed by one or more processors, so that one A or multiple processors realize such as methodology above.
According to the one side of the disclosure, it proposes a kind of computer-readable medium, is stored thereon with computer program, the program Method as mentioned in the above is realized when being executed by processor.
According to the power distribution network switch cabinet state analysis method and system of the disclosure, it is possible to prevente effectively from the event of power distribution network switchgear The generation of barrier.The safety and reliability of power supply line's operation is effectively improved,
It should be understood that the above general description and the following detailed description are merely exemplary, this can not be limited It is open.
Detailed description of the invention
Its example embodiment is described in detail by referring to accompanying drawing, above and other target, feature and the advantage of the disclosure will It becomes more fully apparent.Drawings discussed below is only some embodiments of the present disclosure, for the ordinary skill of this field For personnel, without creative efforts, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is the system of a kind of power distribution network switch cabinet state analysis method and system shown according to an exemplary embodiment Block diagram.
Fig. 2 is a kind of flow chart of power distribution network switch cabinet state analysis method shown according to an exemplary embodiment.
Fig. 3 is a kind of flow chart of the power distribution network switch cabinet state analysis method shown according to another exemplary embodiment.
Fig. 4 is a kind of block diagram of power distribution network switch cabinet state analysis system shown according to an exemplary embodiment.
Fig. 5 is the block diagram of a kind of electronic equipment shown according to an exemplary embodiment.
Fig. 6 is that a kind of computer readable storage medium schematic diagram is shown according to an exemplary embodiment.
Specific embodiment
Example embodiment is described more fully with reference to the drawings.However, example embodiment can be real in a variety of forms It applies, and is not understood as limited to embodiment set forth herein;On the contrary, thesing embodiments are provided so that the disclosure will be comprehensively and complete It is whole, and the design of example embodiment is comprehensively communicated to those skilled in the art.Identical appended drawing reference indicates in figure Same or similar part, thus repetition thereof will be omitted.
In addition, described feature, structure or characteristic can be incorporated in one or more implementations in any suitable manner In example.In the following description, many details are provided to provide and fully understand to embodiment of the disclosure.However, It will be appreciated by persons skilled in the art that can with technical solution of the disclosure without one or more in specific detail, Or it can be using other methods, constituent element, device, step etc..In other cases, it is not shown in detail or describes known side Method, device, realization or operation are to avoid fuzzy all aspects of this disclosure.
Block diagram shown in the drawings is only functional entity, not necessarily must be corresponding with physically separate entity. I.e., it is possible to realize these functional entitys using software form, or realized in one or more hardware modules or integrated circuit These functional entitys, or these functional entitys are realized in heterogeneous networks and/or processor device and/or microcontroller device.
Flow chart shown in the drawings is merely illustrative, it is not necessary to including all content and operation/step, It is not required to execute by described sequence.For example, some operation/steps can also decompose, and some operation/steps can close And or part merge, therefore the sequence actually executed is possible to change according to the actual situation.
It should be understood that although herein various assemblies may be described using term first, second, third, etc., these groups Part should not be limited by these terms.These terms are to distinguish a component and another component.Therefore, first group be discussed herein below Part can be described as the second component without departing from the teaching of disclosure concept.As used herein, term " and/or " include associated All combinations for listing any of project and one or more.
It will be understood by those skilled in the art that attached drawing is the schematic diagram of example embodiment, module or process in attached drawing Necessary to not necessarily implementing the disclosure, therefore it cannot be used for the protection scope of the limitation disclosure.
Fig. 1 is the system of a kind of power distribution network switch cabinet state analysis method and system shown according to an exemplary embodiment Block diagram.
As shown in Figure 1, system architecture 100 may include monitoring device 101,102,103, network 104 and server 105, Transmitting device 106,107,108.Network 104 is to provide communication chain between transmitting device 106,107,108 and server 105 The medium on road.Network 104 may include various connection types, such as wired, wireless communication link or fiber optic cables etc..
Monitoring device 101,102,103 is interacted by transmitting device 106,107,108 with network 104 and server 105, with Receive or send message etc..Various sensors can be installed in monitoring device 101,102,103, may be, for example, gas sensing Device.Temperature Humidity Sensor, environmental sensor, pressure sensor etc..
Terminal device 101,102,103 can be the various electronic equipments with display screen and supported web page browsing, packet Include but be not limited to smart phone, tablet computer, pocket computer on knee and desktop computer etc..
Server 105 can be to provide the server of various services, such as to the biography that transmitting device 106,107,108 obtains The background server that sensor related data is handled.Server 105 can carry out the data received the processing such as analyzing, and Processing result (such as warning information, environmental risk information) is fed back into terminal device.
Server 105 can for example obtain the environmental information of power distribution network switchgear in real time;Server 105 can be for example by the ring Border information real-time Transmission is to remote server;Server 105 can such as remote server the environmental information is located in real time Reason generates display information;Server 105 can be analyzed for example and show the display information.
Server 105 can for example preset the data renewal frequency of display equipment;Server 105 can be for example according to the data Renewal frequency shows the display information in the display equipment.
Server 105 can be the server of an entity, also may be, for example, multiple server compositions, needs to illustrate It is that power distribution network switchgear remote detecting method provided by the embodiment of the present disclosure can be executed by server 105, correspondingly, matches Power network switch cabinet remote detection device can be set in server 105.
According to the power distribution network switchgear remote detecting method and system of the disclosure, by obtaining power distribution network switchgear in real time Environmental information;And by the environmental information real-time Transmission to remote server, and show the mode of the display information, it can be right Temperature and humidity and sulfur hexafluoride gas concentration in switchgear are monitored, prevention apparatus failure, ensure equipment safety operation and confession Electric reliability.
It, can effectively monitoring switch cabinet equipment be according to the power distribution network switchgear remote detecting method and system of the disclosure Normal condition finds the failure symptom of a trend, advanced processing, it is possible to prevente effectively from the generation of such failure in time.Effectively improve supply lines The safety and reliability of road transport row reduces the generation of improper power outage;The research and development of the present apparatus have high-tension switch cabinet The ability of long-range monitoring and early warning, is an effective component part of wisdom power grid construction.
Fig. 2 is a kind of flow chart of power distribution network switch cabinet state analysis method shown according to an exemplary embodiment.Match Power network switch cabinet state analysis method includes at least step S202 to S208.
As shown in Fig. 2, in S202, the environmental information of real-time monitoring distal end power distribution network switchgear.Match real-time monitoring distal end The environmental information of power network switch cabinet includes: the temperature information of real-time monitoring distal end power distribution network switchgear;Real-time monitoring distal end distribution The humidity information of net switchgear;The gas concentration information of real-time monitoring distal end power distribution network switchgear.
In one embodiment, in real time obtain power distribution network switchgear environmental information further include: by the temperature information, Humidity information and gas concentration information generate the environmental information.
It can be for example, SCM Based switch cabinet parameter monitoring device, by sensor real-time monitoring high-tension switch cabinet Temperature, humidity, sulfur hexafluoride gas concentration data.Monitoring device using modularization thinking design, have low-power consumption and it is low at This characteristics of, can be managed concentratedly and be controlled to sensor node, and collected sensing data is handled and stored. The device is adapted under high and low temperature environment work, and has the characteristics that low-power consumption, stability is high, is easily installed, fully meets severe Field work condition.
In one embodiment, gas concentration sensor is the sensor for detecting sulfur hexafluoride gas concentration.Electric power Insulation and/or arc extinguishing of the sulfur hexafluoride gas as electrical equipment are commonly used in industry.The electric strength of sulfur hexafluoride is same pressure 2.5 times of lower nitrogen, breakdown voltage are 2.5 times of air, and arc extinguishing ability is 100 times of air, are a kind of better than air and oil Between super-pressure insulating dielectric materials of new generation.But sulfur hexafluoride is a kind of asphyxiant, can be breathed in higher concentrations tired Hardly possible is wheezed, skin and mucous membrane change indigo plant, general spasticity.Suck mixed gas a few minutes of the oxygen of 80% sulfur hexafluoride+20% Afterwards, human body will appear numb limb or even death by suffocation.China provides that the permission of sulfur hexafluoride gas is dense in operation room air Degree should be greater than 18% no more than oxygen content in 6g/m3 or air;Short term contact, the safe level of sulfur hexafluoride gas is not in air Greater than 7.5g/m3.Sulfur hexafluoride is being pharmacologically inert gas, low toxicity but have smothering action to human body.It is living or was using Cheng Zhonghui decomposes the less fluorinated conjunction object and fluorine oxide of the toxic sulphur of some traces.So for sulfur hexafluoride gas concentration Detection have great importance.
Can for example, real-time reception remote end-node sensing data, realize data record, the failure of each switchgear Temperature setting and fault alarm function.To guarantee that monitoring and warning forecasting centre can correctly obtain monitoring station data, reading at any time The information such as arbitrary period data or monitoring station working condition are connect by communication program first after data reach monitoring center's server Data are received, communication program is responsible for unpacking to data packet, decoding, error correction and detection processing is carried out to data, such a process reduces The bit error rate of data improves data integrity rate.It is stored into database and is stored in journal file after monitoring data synthesis.
In S204, data processing is carried out to the environmental information, generates analysis data.The environmental information is counted According to processing, generating analysis data includes: to carry out processing of unpacking to the environmental information, generates the first data;By first number According to processing is decoded, the second data are generated;And second data are subjected to error correcting and detecting processing, generate the analysis number According to.
Big data can be formed for example, collect and survey switchgear scene, state parameter and failure cause, by effectively organizing, The content for finding out its regularity forms knowledge base and judges the failure of switchgear using methods such as neural network and finite element analyses Situation;
In S206, by by the analysis data input fault model to obtain probability of malfunction.In one embodiment In, fault model described in the history environment information architecture by the power distribution network switchgear.
In S208, warning message is generated according to the probability of malfunction.Exceed the event of threshold value for probability of malfunction, generates Warning information.Can for example, real-time collecting switchgear state, will by the state measured become parameter input solver, worked as The health status of preceding switch cabinet gives alert process once certain parameters change.
According to the power distribution network switchgear remote detecting method of the disclosure, the environment by obtaining power distribution network switchgear in real time is believed Breath;And by the environmental information real-time Transmission to remote server, and show the mode of the display information, it can be to switchgear Interior temperature and humidity and sulfur hexafluoride gas concentration is monitored, prevention apparatus failure, ensures that equipment safety operation and power supply are reliable Property.
According to the power distribution network switchgear remote detecting method of the disclosure, it is capable of the abnormal feelings of effective monitoring switch cabinet equipment Condition finds the failure symptom of a trend, advanced processing, it is possible to prevente effectively from the generation of such failure in time.Effectively improve power supply line's operation Safety and reliability, reduce the generation of improper power outage;The research and development of the present apparatus make high-tension switch cabinet have long-range prison The ability with early warning is surveyed, is an effective component part of wisdom power grid construction.
It will be clearly understood that the present disclosure describes how to form and use particular example, but the principle of the disclosure is not limited to These exemplary any details.On the contrary, the introduction based on disclosure disclosure, these principles can be applied to many other Embodiment.
In one embodiment, in power distribution network switch cabinet state analysis method further include: believe the environment of distal end Breath is transmitted to local server to carry out subsequent processing.After the environmental information of distal end is transmitted to local server to carry out Continuous processing includes: that the environmental information is transmitted to local server to carry out subsequent processing by NB-IoT network.
NB-IoT network structure is constituted by multiple transmitting devices;And by the node in NB-IoT network structure it One by the environmental information real-time Transmission to remote server.NB-IoT (narrowband Internet of Things, Narrow Band Internet Of Things) network uses packet-based core networks (EPC) network architecture based on 4G/LTE evolution, have big connection, decimal According to, low-power consumption, low cost, the characteristic of depth covering.NB-IoT network uses star network topology, is by a base station Covering communication terminal, single base station cell it can support 50,000 NB-IoT terminals accesses, terminal booting that can network on a large scale. Radio Access Network base station (i.e. eNodeB) mainly undertakes the correlation functions such as access processing and cell management of eating dishes without rice or wine.Base station and IoT Core net is attached, to realize the data transmission of long range wide area.
Fig. 3 is a kind of flow chart of power distribution network switch cabinet state analysis method shown according to an exemplary embodiment.Fig. 3 Shown power distribution network switch cabinet state analysis method is to " event described in the history environment information architecture by the power distribution network switchgear The detailed description of barrier model ".It further include step S302 to S306.
In S302, the history environment information of the power distribution network switchgear is obtained.Obtain going through for the power distribution network switchgear The corresponding historical failure information of history environmental information includes: to obtain the corresponding history of history environment information of the power distribution network switchgear Field data;Obtain the corresponding historic state parameter of history environment information of the power distribution network switchgear;And match described in obtaining The corresponding historical failure reason of the history environment information of power network switch cabinet.
In S304, the corresponding historical failure information of history environment information of the power distribution network switchgear is obtained.It can basis Historical record data determines historical failure information.
In S306, by mathematical model described in the history environment information and the historical failure information input, pass through Training determines the fault model.The mathematical model includes: neural-network learning model and finite element analysis model.
Wherein, neural network (Neural Networks, NN) is (referred to as neural by a large amount of, simple processing unit Member) widely interconnect and the complex networks system that is formed, it reflects many essential characteristics of human brain function, is a height Spend complicated non-linear dynamic learning system.Neural network have large-scale parallel, distributed storage and processing, self-organizing, from Adapt to and self-learning ability, be particularly suitable for processing need and meanwhile consider many factors and condition, at inaccurate and fuzzy information Reason problem.The development of neural network and Neuscience, mathematical and physical science, cognitive science, computer science, artificial intelligence, Information Center , cybernetics, robotics, microelectronics, psychology, optical oomputing, molecular biology etc. are related, are that an emerging edge is handed over Pitch subject.
Neuron is the biological model based on the nerve cell of biological nervous system.In people to biological nervous system It is studied, when mechanism to inquire into artificial intelligence, neuron mathematicization, to produce neuron ischemia.
A large amount of identic neuron, which is attached at-rises, just constitutes neural network.Neural network is that a height is non- Linear dynamics system.Although the structure and function of each neuron is uncomplicated, the dynamic behaviour of neural network is then Sufficiently complex;Therefore, the various phenomenons in the actual physics world can be expressed with neural network.
Neural network model is described based on the mathematical model of neuron.Artificial neural network (ArtificialNuearlNewtokr) s is retouched to one kind of the first-order characteristics of human brain system.Simply, it is one A mathematical model.Neural network model is indicated by network topology node feature and learning rules.
Wherein, finite element analysis (FEA, Finite Element Analysis) is using the method for mathematical approach to true Physical system (geometry and load working condition) is simulated.Utilize simple and interaction element (i.e. unit), so that it may use The unknown quantity of limited quantity goes to approach the real system of unlimited unknown quantity.
Finite element analysis is solved again after replacing challenge with better simply problem.It is regarded as domain is solved by many The referred to as small interconnection subdomain composition of finite element, assumes suitable (better simply) approximate solution to each unit, then pushes away Lead solve this domain it is total meet condition (equilibrium condition of such as structure), to obtain the solution of problem.Because practical problem by compared with Simple question is replaced, so this solution not instead of Exact Solutions, approximate solution.Since most of practical problems are difficult to obtain standard Really solution, and not only computational accuracy is high for finite element, but also adapts to various complicated shapes, thus become effective project analysis Means.
Finite element is that those gather together and can indicate the discrete unit of practical continuous domain.The concept of finite element is early in several It just generated and had been applied before a century, such as approached circle with polygon (limited straight line units) to acquire round week It is long, but be suggested as a kind of method, then it is nearest thing.FInite Element is initially referred to as approximate matrix method, is applied to The Strength Calculation of aircraft, and the scientist for being engaged in mechanics study is caused due to its convenience, practicability and validity Great interest.By the effort of short many decades, with the fast development of computer technology and universal, finite element method is rapid Expand to almost all of science and technology field from Structural Engineering strength analysis calculation, become it is a kind of it is rich and varied, be widely used And practical and efficient numerical analysis method.
It can be by the history environment information and the historical failure information input finite element analysis model, by complicated problem It is simplified, the information input neural-network learning model after then simplifying passes through training and determine the failure mould in Type.Fault model can obtain probability of malfunction by the environmental information of input.
It will be appreciated by those skilled in the art that realizing that all or part of the steps of above-described embodiment is implemented as being executed by CPU Computer program.When the computer program is executed by CPU, above-mentioned function defined by the above method that the disclosure provides is executed Energy.The program can store in a kind of computer readable storage medium, which can be read-only memory, magnetic Disk or CD etc..
Further, it should be noted that above-mentioned attached drawing is only the place according to included by the method for disclosure exemplary embodiment Reason schematically illustrates, rather than limits purpose.It can be readily appreciated that above-mentioned processing shown in the drawings is not indicated or is limited at these The time sequencing of reason.In addition, be also easy to understand, these processing, which can be, for example either synchronously or asynchronously to be executed in multiple modules.
Following is embodiment of the present disclosure, can be used for executing embodiments of the present disclosure.It is real for disclosure device Undisclosed details in example is applied, embodiments of the present disclosure is please referred to.
Fig. 4 is a kind of block diagram of power distribution network switch cabinet state analysis system shown according to an exemplary embodiment.Distribution Net switch cabinet state analysis system includes: monitoring module 402, data module 404, model module 406, alarm module 408.
Monitoring module 402 is used for the environmental information of real-time monitoring distal end power distribution network switchgear;Real-time monitoring distal end power distribution network The environmental information of switchgear includes: the temperature information of real-time monitoring distal end power distribution network switchgear;Real-time monitoring distal end power distribution network is opened Close the humidity information of cabinet;The gas concentration information of real-time monitoring distal end power distribution network switchgear.
Data module 404 is used to carry out data processing to the environmental information, generates analysis data;To the environmental information Data processing is carried out, generating analysis data includes: to carry out processing of unpacking to the environmental information, generates the first data;It will be described First data are decoded processing, generate the second data;And second data are subjected to error correcting and detecting processing, described in generation Analyze data.
Model module 406 is used for by will generate probability of malfunction in the analysis data input fault model;By described Fault model described in the history environment information architecture of power distribution network switchgear.
Alarm module 408 is used to generate warning message according to the probability of malfunction.Can for example, real-time collecting switchgear shape The state measured will be become parameter input solver, obtains the health status of current switch cabinet by state, once certain parameters occur Variation, gives alert process.
The implementation of the present apparatus is capable of the abnormal conditions of effective monitoring switch cabinet equipment, finds the failure symptom of a trend in time, in advance Processing, it is possible to prevente effectively from the generation of such failure.The safety and reliability of power supply line's operation is effectively improved, reduction is non-just The generation of normal power outage;The ability that the research and development of the present apparatus make high-tension switch cabinet have long-range monitoring and early warning, is wisdom power grid One effective component part of construction.
Fig. 5 is the block diagram of a kind of electronic equipment shown according to an exemplary embodiment.
The electronic equipment 200 of this embodiment according to the disclosure is described referring to Fig. 5.The electronics that Fig. 5 is shown Equipment 200 is only an example, should not function to the embodiment of the present disclosure and use scope bring any restrictions.
As shown in figure 5, electronic equipment 200 is showed in the form of universal computing device.The component of electronic equipment 200 can wrap It includes but is not limited to: at least one processing unit 210, at least one storage unit 220, (including the storage of the different system components of connection Unit 220 and processing unit 210) bus 230, display unit 240 etc..
Wherein, the storage unit is stored with program code, and said program code can be held by the processing unit 210 Row, so that the processing unit 210 executes described in this specification above-mentioned electronic prescription circulation processing method part according to this The step of disclosing various illustrative embodiments.For example, the processing unit 210 can be executed such as Fig. 2, walked shown in Fig. 3 Suddenly.
The storage unit 220 may include the readable medium of volatile memory cell form, such as random access memory Unit (RAM) 2201 and/or cache memory unit 2202 can further include read-only memory unit (ROM) 2203.
The storage unit 220 can also include program/practical work with one group of (at least one) program module 2205 Tool 2204, such program module 2205 includes but is not limited to: operating system, one or more application program, other programs It may include the realization of network environment in module and program data, each of these examples or certain combination.
Bus 230 can be to indicate one of a few class bus structures or a variety of, including storage unit bus or storage Cell controller, peripheral bus, graphics acceleration port, processing unit use any bus structures in a variety of bus structures Local bus.
Electronic equipment 200 can also be with one or more external equipments 300 (such as keyboard, sensing equipment, bluetooth equipment Deng) communication, can also be enabled a user to one or more equipment interact with the electronic equipment 200 communicate, and/or with make Any equipment (such as the router, modulation /demodulation that the electronic equipment 200 can be communicated with one or more of the other calculating equipment Device etc.) communication.This communication can be carried out by input/output (I/O) interface 250.Also, electronic equipment 200 can be with By network adapter 260 and one or more network (such as local area network (LAN), wide area network (WAN) and/or public network, Such as internet) communication.Network adapter 260 can be communicated by bus 230 with other modules of electronic equipment 200.It should Understand, although not shown in the drawings, other hardware and/or software module can be used in conjunction with electronic equipment 200, including but unlimited In: microcode, device driver, redundant processing unit, external disk drive array, RAID system, tape drive and number According to backup storage system etc..
Through the above description of the embodiments, those skilled in the art is it can be readily appreciated that example described herein is implemented Mode can also be realized by software realization in such a way that software is in conjunction with necessary hardware.Therefore, according to the disclosure The technical solution of embodiment can be embodied in the form of software products, which can store non-volatile at one Property storage medium (can be CD-ROM, USB flash disk, mobile hard disk etc.) in or network on, including some instructions are so that a calculating Equipment (can be personal computer, server or network equipment etc.) executes the above method according to disclosure embodiment.
Fig. 6 schematically shows a kind of computer readable storage medium schematic diagram in disclosure exemplary embodiment.
Refering to what is shown in Fig. 6, describing the program product for realizing the above method according to embodiment of the present disclosure 400, can using portable compact disc read only memory (CD-ROM) and including program code, and can in terminal device, Such as it is run on PC.However, the program product of the disclosure is without being limited thereto, in this document, readable storage medium storing program for executing can be with To be any include or the tangible medium of storage program, the program can be commanded execution system, device or device use or It is in connection.
Described program product can be using any combination of one or more readable mediums.Readable medium can be readable letter Number medium or readable storage medium storing program for executing.Readable storage medium storing program for executing for example can be but be not limited to electricity, magnetic, optical, electromagnetic, infrared ray or System, device or the device of semiconductor, or any above combination.The more specific example of readable storage medium storing program for executing is (non exhaustive List) include: electrical connection with one or more conducting wires, portable disc, hard disk, random access memory (RAM), read-only Memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc read only memory (CD-ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.
The computer readable storage medium may include in a base band or the data as the propagation of carrier wave a part are believed Number, wherein carrying readable program code.The data-signal of this propagation can take various forms, including but not limited to electromagnetism Signal, optical signal or above-mentioned any appropriate combination.Readable storage medium storing program for executing can also be any other than readable storage medium storing program for executing Readable medium, the readable medium can send, propagate or transmit for by instruction execution system, device or device use or Person's program in connection.The program code for including on readable storage medium storing program for executing can transmit with any suitable medium, packet Include but be not limited to wireless, wired, optical cable, RF etc. or above-mentioned any appropriate combination.
Can with any combination of one or more programming languages come write for execute the disclosure operation program Code, described program design language include object oriented program language-Java, C++ etc., further include conventional Procedural programming language-such as " C " language or similar programming language.Program code can be fully in user It calculates and executes in equipment, partly executes on a user device, being executed as an independent software package, partially in user's calculating Upper side point is executed on a remote computing or is executed in remote computing device or server completely.It is being related to far Journey calculates in the situation of equipment, and remote computing device can pass through the network of any kind, including local area network (LAN) or wide area network (WAN), it is connected to user calculating equipment, or, it may be connected to external computing device (such as utilize ISP To be connected by internet).
Above-mentioned computer-readable medium carries one or more program, when said one or multiple programs are by one When the equipment executes, so that the computer-readable medium implements function such as: the environment of real-time monitoring distal end power distribution network switchgear Information;Data processing is carried out to the environmental information, generates analysis data;By will be in the analysis data input fault model To obtain probability of malfunction;And warning message is generated according to the probability of malfunction.
It will be appreciated by those skilled in the art that above-mentioned each module can be distributed in device according to the description of embodiment, it can also Uniquely it is different from one or more devices of the present embodiment with carrying out corresponding change.The module of above-described embodiment can be merged into One module, can also be further split into multiple submodule.
By the description of above embodiment, those skilled in the art is it can be readily appreciated that example embodiment described herein It can also be realized in such a way that software is in conjunction with necessary hardware by software realization.Therefore, implemented according to the disclosure The technical solution of example can be embodied in the form of software products, which can store in a non-volatile memories In medium (can be CD-ROM, USB flash disk, mobile hard disk etc.) or on network, including some instructions are so that a calculating equipment (can To be personal computer, server, mobile terminal or network equipment etc.) it executes according to the method for the embodiment of the present disclosure.
It is particularly shown and described the exemplary embodiment of the disclosure above.It should be appreciated that the present disclosure is not limited to Detailed construction, set-up mode or implementation method described herein;On the contrary, disclosure intention covers included in appended claims Various modifications and equivalence setting in spirit and scope.

Claims (10)

1. a kind of power distribution network switch cabinet state analysis method characterized by comprising
The environmental information of real-time monitoring distal end power distribution network switchgear;
Data processing is carried out to the environmental information, generates analysis data;
By by the analysis data input fault model to obtain probability of malfunction;And
Warning message is generated according to the probability of malfunction.
2. the method as described in claim 1, which is characterized in that further include:
The environmental information of distal end is transmitted to local server to carry out subsequent processing.
3. the method as described in claim 1, which is characterized in that further include:
Fault model described in history environment information architecture by the power distribution network switchgear.
4. method as claimed in claim 3, which is characterized in that further include:
Obtain the history environment information of the power distribution network switchgear;
Obtain the corresponding historical failure information of history environment information of the power distribution network switchgear;And
By in mathematical model described in the history environment information and the historical failure information input, the event is determined by training Hinder model.
5. method as claimed in claim 4, which is characterized in that the history environment information for obtaining the power distribution network switchgear is corresponding Historical failure information include:
Obtain the corresponding history field data of history environment information of the power distribution network switchgear;
Obtain the corresponding historic state parameter of history environment information of the power distribution network switchgear;And
Obtain the corresponding historical failure reason of history environment information of the power distribution network switchgear.
6. method as claimed in claim 4, which is characterized in that the mathematical model includes:
Neural-network learning model and finite element analysis model.
7. the method as described in claim 1, which is characterized in that the environmental information packet of real-time monitoring distal end power distribution network switchgear It includes:
The temperature information of real-time monitoring distal end power distribution network switchgear;
The humidity information of real-time monitoring distal end power distribution network switchgear;
The gas concentration information of real-time monitoring distal end power distribution network switchgear.
8. the method as described in claim 1, which is characterized in that carry out data processing to the environmental information, generate analysis number According to including:
Processing of unpacking is carried out to the environmental information, generates the first data;
First data are decoded processing, generate the second data;And
Second data are subjected to error correcting and detecting processing, generate the analysis data.
9. method according to claim 2, which is characterized in that by the environmental information of distal end be transmitted to local server with Carrying out subsequent processing includes:
The environmental information is transmitted to local server to carry out subsequent processing by NB-IoT network.
10. a kind of power distribution network switch cabinet state analysis system characterized by comprising
Monitoring module, the environmental information for real-time monitoring distal end power distribution network switchgear;
Data module generates analysis data for carrying out data processing to the environmental information;
Model module, for by the way that probability of malfunction will be generated in the analysis data input fault model;And
Alarm module, for generating warning message according to the probability of malfunction.
CN201811391168.4A 2018-11-21 2018-11-21 Power distribution network switch cabinet state analysis method and system Pending CN109614664A (en)

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Application publication date: 20190412