CN105897925A - Mobile remote electric power monitoring system based on 4G network and monitoring method - Google Patents
Mobile remote electric power monitoring system based on 4G network and monitoring method Download PDFInfo
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- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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- H—ELECTRICITY
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- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
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- H04L41/0654—Management of faults, events, alarms or notifications using network fault recovery
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- H—ELECTRICITY
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Abstract
The invention provides a mobile remote electric power monitoring system based on a 4G network and a monitoring method, and relates to the field of electric power. The system comprises a monitoring terminal, a cloud terminal and a mobile terminal. The monitoring terminal comprises a power supply module, a sensor system, a data preprocessing device, a processor, an image collection device and a data transmission module. The cloud terminal comprises a cloud terminal data transmission module, a cloud terminal database and a cloud terminal data analyzing device. The mobile terminal comprises a mobile terminal data transmission module, a mobile terminal processor, a display device and a reminding device. According to the system and the method, an improvement scheme is provided specific to the defects that according to the existing electric power monitoring system and monitoring method, the monitoring is not in real time, the monitoring results are inaccurate and the network transmission is unreliable. The scheme has the advantages of accurate monitoring, real time monitoring, reliable transmission and complete information.
Description
Technical field
The present invention relates to power domain, particularly to a kind of mobile remote power based on 4G network monitoring system and monitoring method.
Background technology
Electric power monitoring system (hereinafter referred to as SCADA system) realize the heart (OCC) in the controlling electric power system is managed concentratedly and dispatches, real-time Control & data acquisition.Except the ruuning situation utilizing " four is distant " (remote control, remote signalling, remote measurement, remote regulating) function monitor electric power supply system equipment, grasp in time and process outside the various accidents of electric power system, alert event function, the background work station utilizing this system can also carry out data filing and statistical report form function, preferably to manage electric power system to system.
Along with computer and the development of communication technology, from late 1990s, the computer-based operational management that substation autometion system technology is electric power system brings once to be changed.It comprises Microcomputer Protection, dispatching automation and local basic automatization.Grid safety monitoring, electricity and non electrical quantity monitoring can be realized, parameter adjusts automatically, central signal, local voltage and reactive power integrative control, the automatic timesharing accounting of electric energy, emergency stop valve trip process records automatically, event sorts on time, accident treatment prompting, quickly process accident, microcomputer control maintenance-free battery and microcomputer telecontrol integrated function.In order to carry out, electric substation is unattended provides powerful technical support for it.
But existing electric power monitoring system there is also following defect:
1, early warning is inaccurate: the normal fluctuation occurred due to error and the power equipment system of sensor, all can cause exception getparms, and then cause the false alarm of whole system.Cause early warning inaccurate, cause unnecessary waste of human resource.
2, quantity of information is obtained few: obtain due to existing electric power monitoring system is all simple data message, although can pinpoint the problems to a certain extent from these data messages, but the most directly perceived.In some cases, according to clear data information, it is difficult to determine fault occurrence degree and reason.
3, network transmission is unreliable: a lot of electric power facilities and equipment are all mounted to remote sites and mountain area, the network transmission quality in these places is the lowest, traditional power monitoring system uses GPRS data transmission, if it is the best to run into signal, it is likely that causing trouble can not early warning in time.
4, monitoring is not in time: electric power maintenance relates to substantial amounts of field operation, and many times staff can only be contacted by the mobile phone carried with and monitoring personnel, thus solves fault.The most do not only result in the fault message of acquisition not in time, also result in the increase of maintenance difficulties.
Summary of the invention
In consideration of it, the invention provides a kind of mobile remote power based on 4G network monitoring system and monitoring method, this invention has the advantages such as monitoring is accurate, monitoring is timely, reliable, the information completely of transmission.
The technical solution used in the present invention is as follows:
A kind of mobile remote power based on 4G network monitoring system, it is characterised in that described system includes: monitoring side, high in the clouds and mobile terminal；Described monitoring side includes: power module, sensing system, data prediction device, processor, image collecting device and data transmission module；Described high in the clouds includes: high in the clouds data transmission module, cloud database, high in the clouds data analysis set-up；Described mobile terminal includes: mobile terminal data transmission module, mobile terminal processor, display device and alarm set；
Described sensing system includes: temperature sensor, humidity tactility apparatus, Smoke Sensor, voltage sensor, current sensor, arc sensor and data transmission device；
Described data prediction device includes: data filtering device and analysis judgment means；
Described data transmission module includes: transmission equipment and switching equipment；
Institute's high in the clouds data analysis set-up includes: time quantum and big data analysis processor.
Described data transmission device signal respectively is connected to temperature sensor, humidity sensor, Smoke Sensor, voltage sensor, current sensor, arc sensor, the data message sended over from each sensor for reception, sends these data messages to data prediction device；Described temperature sensor, for obtaining the temperature information in power equipment environment；Described humidity sensor, for obtaining the humidity information in power equipment environment；Described Smoke Sensor, for monitoring the smoke condition in power equipment environment；Described voltage sensor, for obtaining the information of voltage on the power equipment monitored；Described current sensor, for obtaining the current information on the power equipment monitored；Described arc sensor, for obtaining the arc information on the power equipment monitored.
Described data filtering device signal respectively is connected to data transmission device and analyzes judgment means, filters for the data message sending over data transmission device；Described analysis judgment means signal respectively is connected to data filtering device and processor, for being analyzed judging to the data message after filtering, draws judged result, sends result to processor；Described processor, signal is connected to analyze judgment means, data transmission module and image collecting device respectively, and for processing the data message received, the data message after processing sends to high in the clouds data transmission module.
Described switching device signal is connected to transmission equipment, for real time monitoring network environment, according to the transmission mode of Network Environment Status switching transmission equipment；Described transmission equipment, signal is connected to switching equipment and data transmission module respectively, for the switching command according to switching equipment switching, changes network transmission mode, and the data message sended over by processor sends to high in the clouds.
Described high in the clouds data transmission module, signal is connected to mobile terminal data transmission module, data transmission module and cloud database respectively, the data message sended over from data transmission module for reception, the transmission of these data messages is stored to cloud database, and receive the request command from mobile terminal, send data message to mobile terminal；Described high in the clouds data analysis set-up includes: time quantum and big data analysis processor；Described time quantum signal respectively is connected to big data analysis processor and cloud database, for according to value analysis time arranged, periodically the big data analysis instructions of transmission is to big data analysis processor, and according to the report time value arranged, periodically sends report and assign instruction to cloud database.
A kind of monitoring method monitoring system based on based on 4G network the mobile remote power one of claim 15 Suo Shu, it is characterised in that said method comprising the steps of:
Step 1: monitoring side initializes, power module is started working, and provides power for whole system, and whole system comes into operation；Sensing system starts real-time gather data information, including: ambient temperature data, ambient humidity data, ETS data, equipment voltage data, device current data, equipment arc data, these data messages are sent in real time to data prediction device；
Step 2: the data message that data prediction device begins for collecting filters, sets 6 threshold values in data filtering device, is respectively as follows: A, B, C, D, E and F；Temperature data and the A of acquisition are compared, if temperature data value < then deleted by A by temperature data value；If temperature data value > A, then this temperature data is sent to analyzing judgment means；Same, if humidity data value < then deleted by B by humidity data value；If humidity data value > B, then this humidity data is sent to analyzing judgment means；If smoke data value < then deleted by C by smoke data value；If smoke data value > C, then this temperature data is sent to analyzing judgment means；If voltage data value < then deleted by D by voltage data value；If voltage data value > D, then this voltage data is sent to analyzing judgment means；If current data value < then deleted by E by current data value；If current data value > E, then this current data is sent to analyzing judgment means；If arc data value < then deleted by F by arc data value；If arc data value > F, then this temperature data is sent to analyzing judgment means；
Step 3: the data message that analysis judgment means begins for receiving is analyzed judging；First time threshold a: T is set；Statistics receives the number of times of a certain sensor data information: N in the range of this time threshold；Set Safe Times threshold value as M；The N value counted on and M value are compared, if N<M, does not deals with, if N>M, generate an early warning labelling；Add up in the time threshold T set, the number of early warning labelling: P；Set threshold value of warning as O；If P > O, then send safe early warning order to processor；If P < O, do not deal with.
Step 4: if processor receives analyzes the early warning order that judgment means sends over, then send image acquisition commands to image collecting device, image collecting device starts to gather the picture signal of whole power equipment and facility environment, sends picture signal to processor；
Step 5: after all data messages got are integrated by processor, and add alarm command, then send out always to data transmission module, switching equipment in data transmission module is for current network conditions, judgement should select which kind of network transmission mode, the at utmost validity and reliability of guarantee information transmission；If judging, 4G network condition is good, and GPRS network is in poor shape, then select 4G network transmission mode；Data message is sent to high in the clouds data transmission module；
Step 6: after high in the clouds data transmission module receives data message, stores data message transmission to cloud database, and sends alarm command to mobile terminal；
Step 7: mobile-terminated receive alarm command after, alarm set begins to send out alerting signal；The actual image information that display device display image acquisition device arrives；
Step 8: meanwhile, high in the clouds data analysis set-up, also under the control of time quantum, the data message in cloud database can be carried out big data analysis, propose to analyze suggestion；Analysis suggestion is stored in cloud database；Time quantum can control cloud database and periodically send analysis suggestion to mobile terminal in the time formulated.
Use above technical scheme, present invention produces following beneficial effect:
1, monitoring is accurately: the monitoring system of the offer of the present invention and monitoring method, the data message that can not only monitor in real time, also can obtain monitoring image information simultaneously, and both combine.Staff can judge the failure cause that power equipment occurs the most accurately, can solve failure problems more targetedly.Additionally, in the data message obtained, it is provided that good self-error strobe utility, the false alarm that rejecting sensor error and equipment Temporal fluctuations cause.
2, network transmission is reliable: for the particularity of electric power facility, we provide the function of network switching, for the difference of current network conditions situation.Choose the network transmission means of optimum, can more efficiently transmitting monitor data and monitored results.Further ensure that the accuracy of monitoring result.
3, big data analysis: the present invention is processed by cloud and the theory of big data is incorporated in power monitoring system and monitoring method, high in the clouds will store all of monitoring data, and these are monitored data the carrying out big data analysis of timing, draw analysis result.And timing transmission analysis result is to mobile terminal, for this analysis result, staff can judge whether this power equipment exists potential safety hazard, if need repairing.
4, monitoring is in time: the present invention by the Internet+theory be incorporated in power monitoring system and monitoring method, early warning information and order that monitoring system sends over can be received whenever and wherever possible.Staff can respond rapidly for early warning in time.
Accompanying drawing explanation
Fig. 1 is a kind of based on 4G network mobile remote power monitoring system and the monitoring method of the present invention.
Detailed description of the invention
All features disclosed in this specification, or disclosed all methods or during step, in addition to mutually exclusive feature and/or step, all can combine by any way.
Any feature disclosed in this specification (including any accessory claim, summary), unless specifically stated otherwise, all can be by other equivalences or there is the alternative features of similar purpose replaced.I.e., unless specifically stated otherwise, an example during each feature is a series of equivalence or similar characteristics.
The embodiment of the present invention 1 provides a kind of mobile remote power based on 4G network monitoring system, system structure as shown in Figure 1:
A kind of mobile remote power based on 4G network monitoring system, it is characterised in that described system includes: monitoring side, high in the clouds and mobile terminal；Described monitoring side includes: power module, sensing system, data prediction device, processor, image collecting device and data transmission module；Described high in the clouds includes: high in the clouds data transmission module, cloud database, high in the clouds data analysis set-up；Described mobile terminal includes: mobile terminal data transmission module, mobile terminal processor, display device and alarm set；
Described sensing system includes: temperature sensor, humidity tactility apparatus, Smoke Sensor, voltage sensor, current sensor, arc sensor and data transmission device；
Described data prediction device includes: data filtering device and analysis judgment means；
Described data transmission module includes: transmission equipment and switching equipment；
Institute's high in the clouds data analysis set-up includes: time quantum and big data analysis processor.
Described data transmission device signal respectively is connected to temperature sensor, humidity sensor, Smoke Sensor, voltage sensor, current sensor, arc sensor, the data message sended over from each sensor for reception, sends these data messages to data prediction device；Described temperature sensor, for obtaining the temperature information in power equipment environment；Described humidity sensor, for obtaining the humidity information in power equipment environment；Described Smoke Sensor, for monitoring the smoke condition in power equipment environment；Described voltage sensor, for obtaining the information of voltage on the power equipment monitored；Described current sensor, for obtaining the current information on the power equipment monitored；Described arc sensor, for obtaining the arc information on the power equipment monitored.
Described data filtering device signal respectively is connected to data transmission device and analyzes judgment means, filters for the data message sending over data transmission device；Described analysis judgment means signal respectively is connected to data filtering device and processor, for being analyzed judging to the data message after filtering, draws judged result, sends result to processor；Described processor, signal is connected to analyze judgment means, data transmission module and image collecting device respectively, and for processing the data message received, the data message after processing sends to high in the clouds data transmission module.
Described switching device signal is connected to transmission equipment, for real time monitoring network environment, according to the transmission mode of Network Environment Status switching transmission equipment；Described transmission equipment, signal is connected to switching equipment and data transmission module respectively, for the switching command according to switching equipment switching, changes network transmission mode, and the data message sended over by processor sends to high in the clouds.
Described high in the clouds data transmission module, signal is connected to mobile terminal data transmission module, data transmission module and cloud database respectively, the data message sended over from data transmission module for reception, the transmission of these data messages is stored to cloud database, and receive the request command from mobile terminal, send data message to mobile terminal；Described high in the clouds data analysis set-up includes: time quantum and big data analysis processor；Described time quantum signal respectively is connected to big data analysis processor and cloud database, for according to value analysis time arranged, periodically the big data analysis instructions of transmission is to big data analysis processor, and according to the report time value arranged, periodically sends report and assign instruction to cloud database.
The embodiment of the present invention 2 provides a kind of remote power based on 4G network monitoring method:
A kind of monitoring method monitoring system based on based on 4G network the mobile remote power one of claim 15 Suo Shu, it is characterised in that said method comprising the steps of:
Step 1: monitoring side initializes, power module is started working, and provides power for whole system, and whole system comes into operation；Sensing system starts real-time gather data information, including: ambient temperature data, ambient humidity data, ETS data, equipment voltage data, device current data, equipment arc data, these data messages are sent in real time to data prediction device；
Step 2: the data message that data prediction device begins for collecting filters, sets 6 threshold values in data filtering device, is respectively as follows: A, B, C, D, E and F；Temperature data and the A of acquisition are compared, if temperature data value < then deleted by A by temperature data value；If temperature data value > A, then this temperature data is sent to analyzing judgment means；Same, if humidity data value < then deleted by B by humidity data value；If humidity data value > B, then this humidity data is sent to analyzing judgment means；If smoke data value < then deleted by C by smoke data value；If smoke data value > C, then this temperature data is sent to analyzing judgment means；If voltage data value < then deleted by D by voltage data value；If voltage data value > D, then this voltage data is sent to analyzing judgment means；If current data value < then deleted by E by current data value；If current data value > E, then this current data is sent to analyzing judgment means；If arc data value < then deleted by F by arc data value；If arc data value > F, then this temperature data is sent to analyzing judgment means；
Step 3: the data message that analysis judgment means begins for receiving is analyzed judging；First time threshold a: T is set；Statistics receives the number of times of a certain sensor data information: N in the range of this time threshold；Set Safe Times threshold value as M；The N value counted on and M value are compared, if N<M, does not deals with, if N>M, generate an early warning labelling；Add up in the time threshold T set, the number of early warning labelling: P；Set threshold value of warning as O；If P > O, then send safe early warning order to processor；If P < O, do not deal with.
Step 4: if processor receives analyzes the early warning order that judgment means sends over, then send image acquisition commands to image collecting device, image collecting device starts to gather the picture signal of whole power equipment and facility environment, sends picture signal to processor；
Step 5: after all data messages got are integrated by processor, and add alarm command, then send out always to data transmission module, switching equipment in data transmission module is for current network conditions, judgement should select which kind of network transmission mode, the at utmost validity and reliability of guarantee information transmission；If judging, 4G network condition is good, and GPRS network is in poor shape, then select 4G network transmission mode；Data message is sent to high in the clouds data transmission module；
Step 6: after high in the clouds data transmission module receives data message, stores data message transmission to cloud database, and sends alarm command to mobile terminal；
Step 7: mobile-terminated receive alarm command after, alarm set begins to send out alerting signal；The actual image information that display device display image acquisition device arrives；
Step 8: meanwhile, high in the clouds data analysis set-up, also under the control of time quantum, the data message in cloud database can be carried out big data analysis, propose to analyze suggestion；Analysis suggestion is stored in cloud database；Time quantum can control cloud database and periodically send analysis suggestion to mobile terminal in the time formulated.
The embodiment of the present invention 3 provides a kind of city parking intelligent management system and method, system structure as shown in Figure 1:
A kind of mobile remote power based on 4G network monitoring system, it is characterised in that described system includes: monitoring side, high in the clouds and mobile terminal；Described monitoring side includes: power module, sensing system, data prediction device, processor, image collecting device and data transmission module；Described high in the clouds includes: high in the clouds data transmission module, cloud database, high in the clouds data analysis set-up；Described mobile terminal includes: mobile terminal data transmission module, mobile terminal processor, display device and alarm set；
Described sensing system includes: temperature sensor, humidity tactility apparatus, Smoke Sensor, voltage sensor, current sensor, arc sensor and data transmission device；
Described data prediction device includes: data filtering device and analysis judgment means；
Described data transmission module includes: transmission equipment and switching equipment；
Institute's high in the clouds data analysis set-up includes: time quantum and big data analysis processor.
Described data transmission device signal respectively is connected to temperature sensor, humidity sensor, Smoke Sensor, voltage sensor, current sensor, arc sensor, the data message sended over from each sensor for reception, sends these data messages to data prediction device；Described temperature sensor, for obtaining the temperature information in power equipment environment；Described humidity sensor, for obtaining the humidity information in power equipment environment；Described Smoke Sensor, for monitoring the smoke condition in power equipment environment；Described voltage sensor, for obtaining the information of voltage on the power equipment monitored；Described current sensor, for obtaining the current information on the power equipment monitored；Described arc sensor, for obtaining the arc information on the power equipment monitored.
Described data filtering device signal respectively is connected to data transmission device and analyzes judgment means, filters for the data message sending over data transmission device；Described analysis judgment means signal respectively is connected to data filtering device and processor, for being analyzed judging to the data message after filtering, draws judged result, sends result to processor；Described processor, signal is connected to analyze judgment means, data transmission module and image collecting device respectively, and for processing the data message received, the data message after processing sends to high in the clouds data transmission module.
Described switching device signal is connected to transmission equipment, for real time monitoring network environment, according to the transmission mode of Network Environment Status switching transmission equipment；Described transmission equipment, signal is connected to switching equipment and data transmission module respectively, for the switching command according to switching equipment switching, changes network transmission mode, and the data message sended over by processor sends to high in the clouds.
Described high in the clouds data transmission module, signal is connected to mobile terminal data transmission module, data transmission module and cloud database respectively, the data message sended over from data transmission module for reception, the transmission of these data messages is stored to cloud database, and receive the request command from mobile terminal, send data message to mobile terminal；Described high in the clouds data analysis set-up includes: time quantum and big data analysis processor；Described time quantum signal respectively is connected to big data analysis processor and cloud database, for according to value analysis time arranged, periodically the big data analysis instructions of transmission is to big data analysis processor, and according to the report time value arranged, periodically sends report and assign instruction to cloud database.
A kind of monitoring method monitoring system based on based on 4G network the mobile remote power one of claim 15 Suo Shu, it is characterised in that said method comprising the steps of:
Step 1: monitoring side initializes, power module is started working, and provides power for whole system, and whole system comes into operation；Sensing system starts real-time gather data information, including: ambient temperature data, ambient humidity data, ETS data, equipment voltage data, device current data, equipment arc data, these data messages are sent in real time to data prediction device；
Step 2: the data message that data prediction device begins for collecting filters, sets 6 threshold values in data filtering device, is respectively as follows: A, B, C, D, E and F；Temperature data and the A of acquisition are compared, if temperature data value < then deleted by A by temperature data value；If temperature data value > A, then this temperature data is sent to analyzing judgment means；Same, if humidity data value < then deleted by B by humidity data value；If humidity data value > B, then this humidity data is sent to analyzing judgment means；If smoke data value < then deleted by C by smoke data value；If smoke data value > C, then this temperature data is sent to analyzing judgment means；If voltage data value < then deleted by D by voltage data value；If voltage data value > D, then this voltage data is sent to analyzing judgment means；If current data value < then deleted by E by current data value；If current data value > E, then this current data is sent to analyzing judgment means；If arc data value < then deleted by F by arc data value；If arc data value > F, then this temperature data is sent to analyzing judgment means；
Step 3: the data message that analysis judgment means begins for receiving is analyzed judging；First time threshold a: T is set；Statistics receives the number of times of a certain sensor data information: N in the range of this time threshold；Set Safe Times threshold value as M；The N value counted on and M value are compared, if N<M, does not deals with, if N>M, generate an early warning labelling；Add up in the time threshold T set, the number of early warning labelling: P；Set threshold value of warning as O；If P > O, then send safe early warning order to processor；If P < O, do not deal with.
Step 4: if processor receives analyzes the early warning order that judgment means sends over, then send image acquisition commands to image collecting device, image collecting device starts to gather the picture signal of whole power equipment and facility environment, sends picture signal to processor；
Step 5: after all data messages got are integrated by processor, and add alarm command, then send out always to data transmission module, switching equipment in data transmission module is for current network conditions, judgement should select which kind of network transmission mode, the at utmost validity and reliability of guarantee information transmission；If judging, 4G network condition is good, and GPRS network is in poor shape, then select 4G network transmission mode；Data message is sent to high in the clouds data transmission module；
Step 6: after high in the clouds data transmission module receives data message, stores data message transmission to cloud database, and sends alarm command to mobile terminal；
Step 7: mobile-terminated receive alarm command after, alarm set begins to send out alerting signal；The actual image information that display device display image acquisition device arrives；
Step 8: meanwhile, high in the clouds data analysis set-up, also under the control of time quantum, the data message in cloud database can be carried out big data analysis, propose to analyze suggestion；Analysis suggestion is stored in cloud database；Time quantum can control cloud database and periodically send analysis suggestion to mobile terminal in the time formulated.
The monitoring system of the offer of the present invention and monitoring method, the data message that can not only monitor in real time, also can obtain monitoring image information simultaneously, and both combine.Staff can judge the failure cause that power equipment occurs the most accurately, can solve failure problems more targetedly.Additionally, in the data message obtained, it is provided that good self-error strobe utility, the false alarm that rejecting sensor error and equipment Temporal fluctuations cause.
For the particularity of electric power facility, we provide the function of network switching, for the difference of current network conditions situation.Choose the network transmission means of optimum, can more efficiently transmitting monitor data and monitored results.Further ensure that the accuracy of monitoring result.
The present invention is processed by cloud and the theory of big data is incorporated in power monitoring system and monitoring method, and high in the clouds will store all of monitoring data, and these are monitored data the carrying out big data analysis of timing, draws analysis result.And timing transmission analysis result is to mobile terminal, for this analysis result, staff can judge whether this power equipment exists potential safety hazard, if need repairing.
The present invention by the Internet+theory be incorporated in power monitoring system and monitoring method, early warning information and order that monitoring system sends over can be received whenever and wherever possible.Staff can respond rapidly for early warning in time.
The invention is not limited in aforesaid detailed description of the invention.The present invention expands to any new feature disclosed in this manual or any new combination, and the arbitrary new method that discloses or the step of process or any new combination.
Claims (6)
1. mobile remote power based on a 4G network monitoring system, it is characterised in that described system includes: monitoring side, high in the clouds and mobile terminal；Described monitoring side includes: power module, sensing system, data prediction device, processor, image collecting device and data transmission module；Described high in the clouds includes: high in the clouds data transmission module, cloud database, high in the clouds data analysis set-up；Described mobile terminal includes: mobile terminal data transmission module, mobile terminal processor, display device and alarm set；
Described sensing system includes: temperature sensor, humidity tactility apparatus, Smoke Sensor, voltage sensor, current sensor, arc sensor and data transmission device；
Described data prediction device includes: data filtering device and analysis judgment means；
Described data transmission module includes: transmission equipment and switching equipment；
Institute's high in the clouds data analysis set-up includes: time quantum and big data analysis processor.
2. mobile remote power based on 4G network monitoring system as claimed in claim 1, it is characterized in that, described data transmission device signal respectively is connected to temperature sensor, humidity sensor, Smoke Sensor, voltage sensor, current sensor, arc sensor, the data message sended over from each sensor for reception, sends these data messages to data prediction device；Described temperature sensor, for obtaining the temperature information in power equipment environment；Described humidity sensor, for obtaining the humidity information in power equipment environment；Described Smoke Sensor, for monitoring the smoke condition in power equipment environment；Described voltage sensor, for obtaining the information of voltage on the power equipment monitored；Described current sensor, for obtaining the current information on the power equipment monitored；Described arc sensor, for obtaining the arc information on the power equipment monitored.
3. mobile remote power based on 4G network monitoring system as claimed in claim 1, it is characterized in that, described data filtering device signal respectively is connected to data transmission device and analyzes judgment means, filters for the data message sending over data transmission device；Described analysis judgment means signal respectively is connected to data filtering device and processor, for being analyzed judging to the data message after filtering, draws judged result, sends result to processor；Described processor, signal is connected to analyze judgment means, data transmission module and image collecting device respectively, and for processing the data message received, the data message after processing sends to high in the clouds data transmission module.
4. mobile remote power based on 4G network monitoring system as claimed in claim 1, it is characterised in that described switching device signal is connected to transmission equipment, for real time monitoring network environment, according to the transmission mode of Network Environment Status switching transmission equipment；Described transmission equipment, signal is connected to switching equipment and data transmission module respectively, for the switching command according to switching equipment switching, changes network transmission mode, and the data message sended over by processor sends to high in the clouds.
5. mobile remote power based on 4G network monitoring system as claimed in claim 1, it is characterized in that, described high in the clouds data transmission module, signal is connected to mobile terminal data transmission module, data transmission module and cloud database respectively, the data message sended over from data transmission module for reception, the transmission of these data messages is stored to cloud database, and receives the request command from mobile terminal, send data message to mobile terminal；Described high in the clouds data analysis set-up includes: time quantum and big data analysis processor；Described time quantum signal respectively is connected to big data analysis processor and cloud database, for according to value analysis time arranged, periodically the big data analysis instructions of transmission is to big data analysis processor, and according to the report time value arranged, periodically sends report and assign instruction to cloud database.
6. the monitoring method monitoring system based on based on 4G network the mobile remote power one of claim 15 Suo Shu, it is characterised in that said method comprising the steps of:
Step 1: monitoring side initializes, power module is started working, and provides power for whole system, and whole system comes into operation；Sensing system starts real-time gather data information, including: ambient temperature data, ambient humidity data, ETS data, equipment voltage data, device current data, equipment arc data, these data messages are sent in real time to data prediction device；
Step 2: the data message that data prediction device begins for collecting filters, sets 6 threshold values in data filtering device, is respectively as follows: A, B, C, D, E and F；Temperature data and the A of acquisition are compared, if temperature data value < then deleted by A by temperature data value；If temperature data value > A, then this temperature data is sent to analyzing judgment means；Same, if humidity data value < then deleted by B by humidity data value；If humidity data value > B, then this humidity data is sent to analyzing judgment means；If smoke data value < then deleted by C by smoke data value；If smoke data value > C, then this temperature data is sent to analyzing judgment means；If voltage data value < then deleted by D by voltage data value；If voltage data value > D, then this voltage data is sent to analyzing judgment means；If current data value < then deleted by E by current data value；If current data value > E, then this current data is sent to analyzing judgment means；If arc data value < then deleted by F by arc data value；If arc data value > F, then this temperature data is sent to analyzing judgment means；
Step 3: the data message that analysis judgment means begins for receiving is analyzed judging；First time threshold a: T is set；Statistics receives the number of times of a certain sensor data information: N in the range of this time threshold；Set Safe Times threshold value as M；The N value counted on and M value are compared, if N<M, does not deals with, if N>M, generate an early warning labelling；Add up in the time threshold T set, the number of early warning labelling: P；Set threshold value of warning as O；If P > O, then send safe early warning order to processor；If P < O, do not deal with；
Step 4: if processor receives analyzes the early warning order that judgment means sends over, then send image acquisition commands to image collecting device, image collecting device starts to gather the picture signal of whole power equipment and facility environment, sends picture signal to processor；
Step 5: after all data messages got are integrated by processor, and add alarm command, then send out always to data transmission module, switching equipment in data transmission module is for current network conditions, judgement should select which kind of network transmission mode, the at utmost validity and reliability of guarantee information transmission；If judging, 4G network condition is good, and GPRS network is in poor shape, then select 4G network transmission mode；Data message is sent to high in the clouds data transmission module；
Step 6: after high in the clouds data transmission module receives data message, stores data message transmission to cloud database, and sends alarm command to mobile terminal；
Step 7: mobile-terminated receive alarm command after, alarm set begins to send out alerting signal；The actual image information that display device display image acquisition device arrives；
Step 8: meanwhile, high in the clouds data analysis set-up, also under the control of time quantum, the data message in cloud database can be carried out big data analysis, propose to analyze suggestion；Analysis suggestion is stored in cloud database；Time quantum can control cloud database and periodically send analysis suggestion to mobile terminal in the time formulated.
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