CN112600309B - Low-voltage power distribution intelligent diagnosis system with wave recording function - Google Patents

Low-voltage power distribution intelligent diagnosis system with wave recording function Download PDF

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Publication number
CN112600309B
CN112600309B CN202110232267.3A CN202110232267A CN112600309B CN 112600309 B CN112600309 B CN 112600309B CN 202110232267 A CN202110232267 A CN 202110232267A CN 112600309 B CN112600309 B CN 112600309B
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fault
data
recording
intelligent
event
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CN112600309A (en
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黄振山
洪继龙
李泉
吉庆伟
张合朋
曲红磊
洪炜
潘二恒
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Talent Sci Co ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02B90/20—Smart grids as enabling technology in buildings sector
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
    • Y04S40/124—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wired telecommunication networks or data transmission busses

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Human Computer Interaction (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)

Abstract

The invention discloses a low-voltage power distribution intelligent diagnosis system with a wave recording function, which comprises a cloud platform, a user side and intelligent side equipment, wherein the user side and the intelligent side equipment are connected with the cloud platform through a system network; the cloud platform is connected with the user side through a system network; the intelligent end equipment is used for acquiring monitoring data and uploading the monitoring data to the intelligent side equipment, and the intelligent side equipment stores the line monitoring data and uploads the line monitoring data to the cloud platform; the cloud platform comprises a database, a real-time data management unit, an event management unit, a wave recording information generation unit, a historical data management unit, a historical alarm query unit and a fault wave recording analysis unit; the invention can acquire the fault information of the distribution line in time and push the fault information in time so that the staff can respond to the fault in time, and provides the line monitoring information query and the associated information query in a selected range, provides the trend analysis of power supply data and predicts the occurrence of the fault.

Description

Low-voltage power distribution intelligent diagnosis system with wave recording function
Technical Field
The invention relates to the technical field of intelligent power supply, in particular to a low-voltage power distribution intelligent diagnosis system with a wave recording function.
Background
The structure of a power distribution network in China is complex, the power supply area is wide, the automation level is low, the problems of difficulty in positioning, long fault recovery time and the like are caused easily after a fault occurs, the power supply reliability of the power distribution network is seriously influenced, and the current power distribution network has greater intelligent development requirements;
with the increasing sophistication of energy management systems, more and more regulations and standards focus on energy usage efficiency. The user relies on the data collected by the power management system to perform analysis and generate reports, but if the system data is inaccurate or incorrect, the reports are distorted, and even wrong investment decisions are caused.
Energy efficiency management solutions to optimize power system performance are important, and reliability of power supply within a facility is critical to overall facility operation. Power supply interruption can affect productivity and even bring about potential safety hazards, while energy waste and equipment failure can cause economic losses.
Therefore, a system for collecting fault information of the distribution line in time and pushing the fault information in time so that a worker can respond to the fault in time and quickly restore the distribution line needs to be designed.
Disclosure of Invention
The invention provides a low-voltage power distribution intelligent diagnosis system with a wave recording function, which solves the technical problems in the related technology.
According to one aspect of the invention, a low-voltage distribution intelligent diagnosis system with a wave recording function is provided, which comprises:
the cloud platform is connected with a user side and intelligent side equipment of the cloud platform through a system network, wherein the intelligent side equipment is connected with the intelligent side equipment;
the cloud platform is connected with the user side through a system network;
the intelligent side equipment is used for acquiring monitoring data and uploading the monitoring data to the intelligent side equipment, and the intelligent side equipment stores the line monitoring data and uploads the line monitoring data to the cloud platform;
the monitoring data comprises line monitoring data, line fault monitoring data and line state data;
the cloud platform includes:
a database for storing monitoring data;
the real-time data management unit is used for generating data of the current day and drawing a chart based on the data of the current day;
an event management unit for generating event information from the detection data;
the recording information generating unit is used for generating fault recording information according to the line fault monitoring data;
the fault recording information represents the change conditions of various electrical quantities and temperature quantities in the processes before and after the fault;
the historical data management unit is used for calling monitoring data in a time period specified by the historical data query request according to the historical data query request and drawing a chart based on the monitoring data in the time period;
the historical alarm query unit is used for calling event information in a specified range or event information related to certain event information according to a historical event query request;
the fault recording analysis unit is used for calling recording information in a time period specified by the historical recording query request according to the historical recording query request;
and the fault recording analysis unit is also used for calling related recording information according to the related recording query request.
Further, the line monitoring data comprises measured voltage/current monitoring data, residual current monitoring data, active/reactive power monitoring data, cable temperature monitoring data and protection current monitoring data;
the line fault monitoring data comprises overload fault detection data, overvoltage fault detection data, short-circuit instantaneous fault detection data, undervoltage fault detection data, short-circuit short-time fault detection data and temperature anomaly detection data;
line status data includes power down/power back status data.
Further, the intelligent side device uploads monitoring data based on a predetermined period.
Further, the data of the current day is updated based on the updating of the monitoring data, and the chart drawn based on the data of the current day is updated synchronously with the data of the current day.
Further, the event information includes an event type, a line of an action corresponding to the event, an event occurrence time, and monitoring data during the action corresponding to the event;
wherein the event types include: a power outage/restoration event, a short circuit short time fault event, an overload fault event, an overvoltage fault event, a short circuit transient fault event, an undervoltage fault event.
Further, the historical data query request includes a specified time period, a specified route, and a specified type.
Furthermore, the method for calling the event information related to the certain event information according to the historical event query request adopts one or more than two of the following methods:
firstly, event information in the same time period is correlated;
secondly, event information of the same action line is correlated;
and thirdly, associating the same type of event information.
Furthermore, the method for calling the relevant recording information according to the relevant recording query request adopts one or more than two of the following methods:
firstly, correlating the recording information in the same time period;
secondly, correlating the recording information of the same action line;
and thirdly, associating the recording information of the same fault type.
Further, the cloud platform further comprises a sending unit for sending data and a receiving unit for receiving the data, the receiving unit is used for receiving information from the user side and the intelligent side device, and the sending unit is used for sending the information to the user side and the intelligent side device.
Further, the intelligent edge device comprises:
the storage unit is used for storing the line monitoring data collected by the intelligent terminal equipment;
and the fault recording matching unit is used for marking the fault type for the fault recording.
The invention has the beneficial effects that:
the invention can acquire the fault information of the distribution line in time and push the fault information in time so that the staff can respond to the fault in time and recover quickly;
and moreover, the method provides line monitoring information query and associated information query in a selected range, and can provide power supply data trend analysis and predict fault occurrence.
Drawings
Fig. 1 is a schematic block diagram of a low-voltage distribution intelligent diagnosis system with a wave recording function according to an embodiment of the present invention;
FIG. 2 is a block diagram of a cloud platform according to an embodiment of the invention;
FIG. 3 is a block diagram of an intelligent edge device according to an embodiment of the invention;
fig. 4 is a diagram illustrating a specific application of an embodiment of the present invention.
In the figure: the system comprises a cloud platform 100, a system network 200, a user side 300, an intelligent side device 400, an intelligent side device 500, a database 110, a real-time data management unit 120, an event management unit 130, a recording information generation unit 140, a historical data management unit 150, a historical alarm query unit 160, a fault recording analysis unit 170, a sending unit 180, a receiving unit 190, a storage unit 410, a fault recording matching unit 420, a shunt monitoring unit 510, an intelligent circuit breaker 520 and a backup power supply 530.
Detailed Description
The subject matter described herein will now be discussed with reference to example embodiments. It should be understood that these embodiments are discussed only to enable those skilled in the art to better understand and thereby implement the subject matter described herein, and are not intended to limit the scope, applicability, or examples set forth in the claims. Changes may be made in the function and arrangement of elements discussed without departing from the scope of the disclosure. Various examples may omit, substitute, or add various procedures or components as needed. For example, the described methods may be performed in an order different from that described, and various steps may be added, omitted, or combined. In addition, features described with respect to some examples may also be combined in other examples.
In this embodiment, a low-voltage power distribution intelligent diagnosis system with a wave recording function is provided, as shown in fig. 1, which is a schematic diagram of a low-voltage power distribution intelligent diagnosis system with a wave recording function according to the present invention, as shown in fig. 1-2, the low-voltage power distribution intelligent diagnosis system with a wave recording function includes a cloud platform 100, and a user terminal 300 and an intelligent side device 400 that are connected to the cloud platform 100 through a system network 200, where the intelligent side device 400 is connected to the intelligent side device 500; the cloud platform 100 is connected with a user terminal 300 through a system network 200;
the intelligent side device 400 may upload the monitoring data at a fixed time, and the intelligent side device 400 uploads the monitoring data based on a predetermined period.
The database 110 of the cloud platform 100 provides monitoring data storage management; the data of the current day generated by the real-time data management unit 120 of the cloud platform 100 is dynamic data, and is updated at any time based on the update of the monitoring data, that is, the data of the current day is updated when the intelligent side device 400 uploads the monitoring data, and the chart drawn based on the data of the current day is updated along with the update of the data of the current day;
the chart drawn based on the data of the current day comprises real-time voltage, current and temperature curves of the current day, and a line load and state information list;
the event information generated by the event management unit 130 of the cloud platform 100 includes an event type, a line of an action corresponding to the event, an event occurrence time, and monitoring data (temperature, voltage, and current value at the time of the action) at the time of the action corresponding to the event;
the event information generated by the event management unit 130 is relatively dispersed information, the cloud platform 100 may be sent to the user terminal 300 in a real-time pushing manner, and the user terminal 300 sends a corresponding event query request to query other event information associated with certain event information;
for the association of the event information, the event information in the same time period, the same action line and the same type are associated; and calling the associated event information.
For example, for a certain event information, the event information with the same time period, the same action line and the same type is recommended to the user terminal 300.
The cloud platform 100 may send the event information to the user terminal 300 in a real-time push manner.
The wave recording information generating unit 140 of the cloud platform 100 generates fault wave recording information according to the line fault monitoring data; representing the change conditions of various electrical quantities in the processes before and after the fault;
the historical data management unit 150 of the cloud platform 100 calls monitoring data in a time period specified by a historical data query request according to the historical data query request sent to the cloud platform 100 by the user terminal 300, and draws a chart based on the monitoring data in the time period;
the historical alarm query unit 160 of the cloud platform 100 calls event information in a specified range or event information associated with certain event information according to a historical event query request sent to the cloud platform 100 by the user terminal 300;
the fault recording analysis unit 170 is used for calling recording information in a time period specified by the historical recording query request according to the historical recording query request;
the fault recording analysis unit 170 is further configured to retrieve relevant recording information according to the relevant recording query request;
the association of the recording information may refer to the association of the event information.
For example, for a related recording query request of a certain recording information, the recording information with the same time period, the same action line and the same type is recommended to the user terminal 300.
The historical wave recording query request is sent to the cloud platform 100 by the user terminal 300, and at least comprises a specified time period, and can also comprise specified lines and specified types of wave recording information;
the cloud platform 100 further includes a sending unit 180 for sending data and a receiving unit 190 for receiving data, the receiving unit 190 is configured to receive information from the user terminal 300 and the intelligent side device 400, and the sending unit 180 is configured to send information to the user terminal 300 and the intelligent side device 400;
for example, the query request sent by the user terminal 300 is received to the cloud platform 100 through the receiving unit 190; the cloud platform 100 transmits event information, data of the current day, chart information, etc. to the user terminal 300 through the transmission unit 180.
It should be noted that the historical data management unit 150, the historical alarm query unit 160, and the fault record analysis unit 170 retrieve data and generate data, and then send the data to the user end 300 that sent the query request through the sending unit 180.
The intelligent end equipment 500 can select the intelligent shunt monitoring unit 510 and other types of intelligent end equipment 500 (such as an intelligent circuit breaker 520), and can be connected with a backup power supply 530;
as shown in fig. 4, as a specific application example, the shunt monitoring unit 510 is a TDA-111 intelligent low-voltage shunt monitoring unit (ti technologies, inc.).
The installation and connection mode is as follows:
1) an opening CT of the TDA-111 intelligent low-voltage shunt monitoring unit is clamped on a monitoring line cable;
when in connection, the opening is screwed down by a screwdriver, thereby preventing the magnetic leakage of the CT open circuit;
2) the TDA-111 intelligent low-voltage shunt monitoring unit is fixed on the cable through a binding belt, so that the temperature measurement is accurate;
3) the TDA-111 intelligent low-voltage shunt monitoring units are connected in series through matched cables (four-core cascade cables) and then are connected with the intelligent side equipment 400;
4) the two-core cable wire of the TDA-111 intelligent low-voltage shunt monitoring unit is connected with the L wire and the N wire of the phase through a wiring mode or a puncture wire clamp.
Wherein, the smart edge device 400 is a TDC9688A smart cloud box (ti energy science and technology, ltd);
the installation and connection mode of the TDC9688A smart cloud box is as follows:
1) the power distribution cabinet is fixed on the power distribution cabinet through a guide rail or a magnetic part;
2) a COM1 interface of the TDC9688A smart cloud box is connected with the TDA-111 smart low-voltage shunt monitoring unit by using a matched four-core cable;
3) a COM2 interface of the TDC9688A smart cloud box is connected with the smart breaker 520;
4) the BATT interface of the TDC9688A smart cloud box is connected with the backup power supply 530 through a matched five-core cable;
5) the connecting terminal of the TDC9688A smart cloud box is connected with the AC220V power supply in a wiring mode or a puncturing power-taking mode;
6) the antenna of the TDC9688A smart cloud box extends to the outer side of the power distribution cabinet, so that the stability and reliability of wireless communication signals are ensured;
the backup power source 530 is TDA-1101 backup power source (titanium technologies, Inc.);
the installation and connection mode is as follows:
1) the power distribution cabinet is fixed on the power distribution cabinet through a guide rail or a magnetic part;
2) the TDA-1101 backup power supply is connected with a BATT interface of the TDC9688A smart cloud box through a matched five-core cable.
Up to 12 shunt monitoring units 510 or 6 intelligent circuit breakers 520 may be connected to 1 intelligent edge device 400. The last 3 bits of the barcode number of the shunt monitoring unit 510 represent the installed line serial number and phase, as shown in a 01: line 1, line a; b03: line phase B of line 3;
when multiple sets of equipment are purchased: the last 3 bits of the numbering are the same and may be used interchangeably.
The shunt monitoring unit 510 has the following functions: backup power supply 530 access, RMS wave recording function, line power, over-temperature alarm, residual current, overload monitoring/protection, short circuit short time monitoring/protection, short circuit instantaneous monitoring/protection, overvoltage monitoring/protection, undervoltage monitoring/protection;
the smart breaker 520 has the following functions: residual current, open-phase protection, open-zero protection and residual current protection;
the interactive interface of the user terminal 300 is based on a wechat platform, when the wechat terminal is in use, the wechat public number is scanned and bound with the intelligent side equipment 400, and the equipment number of the intelligent side equipment 400 displayed by the wechat terminal is marked below the two-dimensional code of the intelligent side equipment 400;
the "smart edge device 400" corresponds to "a certain branch monitoring site".
"the shunt monitoring unit 510" corresponds to "a certain phase of a certain line"; "Intelligent breaker 520" corresponds to "a line";
the wechat terminal can also set a period for the intelligent side device 400 to upload the monitoring data, and further can independently set an independent uploading period for different data.
The low-voltage distribution intelligent diagnosis system with the wave recording function, which is formed by the selected equipment, has the following characteristics:
the WeChat message automatically pushes the user power-off/power-on information to realize the real-time alarm of abnormal power supply of the user;
pre-judging the power failure reason, automatically recording power failure data, quickly confirming the power failure reason and accelerating the recovery of power supply;
the trend analysis of the power supply data is completed through WeChat, and the method is simple, intuitive, friendly in interface and convenient to operate;
convenient and fast installation of equipment, minimized field workload:
the shunt monitoring unit 510 is of an open-close type structure and is provided with a locking component, so that a cable is not required to be detached, and the installation is convenient;
the intelligent side device 400 and the backup power source 530 support magnetic type installation and guide rail type installation, and second-level fixation is achieved;
aerial plug interface cables are adopted for connection among the devices, so that the device is fast and safe;
the shunt monitoring unit 510 has integrated protection, measurement and control design and functions of electrical monitoring, fault detection, fault recording and temperature sensing;
the shunt monitoring unit 510 has obvious running state and fault state indication, and meets the requirements of informatization monitoring and on-site indication;
the shunt monitoring unit 510 has wide-range sampling, high linearity, strong overload capacity and no insulation damage under 10 times rated current overload;
the intelligent side device 400 is powered by AC220V and can supply power to DC24V, so that peripheral expansion is facilitated;
the intelligent side device 400 integrates gateway functions such as communication, acquisition, control, storage, protocol conversion and the like;
the backup power supply 530 ensures that the fault information is reported in time when the line fault and power failure are monitored.
In this embodiment, a mode extending beyond the above-mentioned device type selection is provided, for example, a certain device with a fault recording function is connected to the intelligent side device 400, and only the fault recording can be acquired and uploaded to the intelligent side device 400, but the fault type corresponding to the fault recording cannot be provided, so that complete recording information cannot be generated, as shown in fig. 3, in such a case, the embodiment provides an intelligent side device 400, which includes a storage unit 410 for storing line monitoring data acquired by the intelligent side device 500 and a fault recording matching unit 420 for marking the fault type for the fault recording;
the method for marking the fault type by recording the fault comprises the following steps:
setting the domain U as the set of all fault classes, the current and voltage faults
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Short circuit and open circuit failure
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Is a fuzzy subset on U, and for a given fault recording U, the attribution of U is judged.
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Fault recording including all short-circuits, open-circuits, temperature faults
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Fault recording including all temperature faults;
the fault record is a historically collected fault record of the intelligent side device 400;
part of parameters of fault recording are selected as quantization indexes, a plurality of quantization indexes are selected, for example, 10 quantization indexes are selected:
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，
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，
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，
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，
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. Thus, the quantization index vector of each fault record is
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；
As an example, quantization index a is a maximum voltage, quantization index B is a maximum current, quantization index C is a minimum voltage, quantization index D is a minimum current, quantization index E is a voltage drop rate, quantization index F is a voltage increase rate, quantization index G is a current increase rate, quantization index H is a current decrease rate, quantization index I is a maximum temperature, and quantization index J is a minimum temperature.
Build current voltage fault
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Short circuit and open circuit failure
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And temperature failure
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at current voltage fault
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,
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)(i=1,2...,6)；
in short circuit and open circuit fault
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=(
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,
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)(i=1,2...,12)；
at temperature failure
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,
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)(i=1,2...,6)；
computing the decimated faults
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,
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,
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Data of a jth quantization index of the ith fault,
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to represent
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Data of a jth quantization index of the ith fault,
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to represent
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Data of a jth quantization index for the ith fault;
respectively calculating the fault to be identified
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And
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,
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,
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the euler distance between them is:
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order to
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Short circuit and open circuit failure
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And temperature failure
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Is:
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；
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；
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；
substituting the quantitative index of the fault recording wave u into the above formula to obtain the fault recording wave u to the current and voltage fault
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Short circuit and open circuit failure
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And temperature failure
Figure 349756DEST_PATH_IMAGE050
Judging the fault type to which the fault recording u belongs according to the maximum membership principle, and marking the fault type to which the fault recording u belongs;
judge the reason according to the maximum membership principleThe fault types to which fault recording waves should belong are compared
Figure 276123DEST_PATH_IMAGE058
、
Figure 716594DEST_PATH_IMAGE059
、
Figure 335794DEST_PATH_IMAGE060
Of size, e.g.
Figure 9352DEST_PATH_IMAGE058
If the fault type is the maximum, the fault type to which the fault recording u belongs is a current-voltage fault;
after the fault type is marked on the fault recording by the method, complete recording information can be generated by combining information such as time, lines and the like.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present embodiment or portions thereof contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (e.g. a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method of the embodiments.
In the description of the present invention, it is to be understood that the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
In the present invention, unless otherwise expressly stated or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the present invention, unless otherwise expressly stated or limited, the first feature "on" or "under" the second feature may be directly contacting the first and second features or indirectly contacting the first and second features through an intermediate. Also, a first feature "on," "over," and "above" a second feature may be directly or diagonally above the second feature, or may simply indicate that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature may be directly under or obliquely under the first feature, or may simply mean that the first feature is at a lesser elevation than the second feature.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above should not be understood to necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
The embodiments of the present invention have been described with reference to the drawings, but the present invention is not limited to the above-mentioned specific embodiments, which are only illustrative and not restrictive, and those skilled in the art can make many forms without departing from the spirit and scope of the present invention and the protection scope of the claims.

Claims (10)

1. The utility model provides a low voltage distribution intelligent diagnosis system with record ripples function which characterized in that includes:
the cloud platform is connected with a user side and intelligent side equipment of the cloud platform through a system network, wherein the intelligent side equipment is connected with the intelligent side equipment;
the cloud platform is connected with the user side through a system network;
the intelligent side equipment is used for acquiring monitoring data and uploading the monitoring data to the intelligent side equipment, and the intelligent side equipment stores the line monitoring data and uploads the line monitoring data to the cloud platform;
the monitoring data comprises line monitoring data, line fault monitoring data and line state data;
the cloud platform includes:
a database for storing monitoring data;
the real-time data management unit is used for generating data of the current day and drawing a chart based on the data of the current day;
an event management unit for generating event information from the detection data;
the recording information generating unit is used for generating fault recording information according to the line fault monitoring data;
the fault recording information represents the change conditions of various electrical quantities and temperature quantities in the processes before and after the fault;
the historical data management unit is used for calling monitoring data in a time period specified by the historical data query request according to the historical data query request and drawing a chart based on the monitoring data in the time period;
the historical alarm query unit is used for calling event information in a specified range or event information related to certain event information according to a historical event query request;
the fault recording analysis unit is used for calling recording information in a time period specified by the historical recording query request according to the historical recording query request;
the fault recording analysis unit is also used for calling related recording information according to the related recording query request;
the intelligent edge device comprises:
the storage unit is used for storing the line monitoring data collected by the intelligent terminal equipment;
the fault recording matching unit is used for marking the fault type for fault recording;
the method for marking the fault type of the fault record by the fault record matching unit comprises the following steps:
setting the domain U as the set of all fault classes, the current and voltage faults
Figure 895947DEST_PATH_IMAGE001
Short circuit and open circuit failure
Figure 78666DEST_PATH_IMAGE002
And temperature failure
Figure 327245DEST_PATH_IMAGE003
The method comprises the following steps that (1) a fuzzy subset on U is obtained, and for a given fault recording U, the attribution of the U is judged;
in which current and voltage fail
Figure 925717DEST_PATH_IMAGE004
Fault recording including all current and voltage faults, short-circuit and open-circuit faults
Figure 208930DEST_PATH_IMAGE005
Fault recording including all short-circuits, open-circuits, temperature faults
Figure 749502DEST_PATH_IMAGE006
Fault recording including all temperature faults;
the fault record is a historically acquired fault record of the intelligent side equipment (400);
partial parameters of fault recording are selected as quantitative indexes, and 10 quantitative indexes are selected:
Figure 282115DEST_PATH_IMAGE007
，
Figure 684277DEST_PATH_IMAGE008
，
Figure 821997DEST_PATH_IMAGE009
，
Figure 80940DEST_PATH_IMAGE010
，
Figure 38532DEST_PATH_IMAGE011
，
Figure 493653DEST_PATH_IMAGE012
，
Figure 282618DEST_PATH_IMAGE013
，
Figure 915724DEST_PATH_IMAGE014
，
Figure 626191DEST_PATH_IMAGE015
，
Figure 166894DEST_PATH_IMAGE016
quantitative index vector of each fault recordingIs composed of
Figure 13627DEST_PATH_IMAGE017
；
Build current voltage fault
Figure 614373DEST_PATH_IMAGE018
Short circuit and open circuit failure
Figure 61404DEST_PATH_IMAGE019
And temperature failure
Figure 343480DEST_PATH_IMAGE020
Membership function of (a):
at current voltage fault
Figure 310299DEST_PATH_IMAGE021
Decimation 6 faults:
Figure 347525DEST_PATH_IMAGE022
=(
Figure 767006DEST_PATH_IMAGE023
,
Figure 102041DEST_PATH_IMAGE024
,.....
Figure 720104DEST_PATH_IMAGE025
)(i=1,2...,6)；
in short circuit and open circuit fault
Figure 131494DEST_PATH_IMAGE026
Decimation 12 faults:
Figure 772691DEST_PATH_IMAGE027
=(
Figure 458887DEST_PATH_IMAGE028
,
Figure 400298DEST_PATH_IMAGE029
,.....
Figure 966277DEST_PATH_IMAGE030
)(i=1,2...,12)；
at temperature failure
Figure 360350DEST_PATH_IMAGE031
Decimation 6 faults:
Figure 850237DEST_PATH_IMAGE032
=(
Figure 380575DEST_PATH_IMAGE033
,
Figure 868189DEST_PATH_IMAGE034
,.....
Figure 546295DEST_PATH_IMAGE035
)(i=1,2...,6)；
computing the decimated faults
Figure 286543DEST_PATH_IMAGE036
,
Figure 671388DEST_PATH_IMAGE037
,
Figure 126640DEST_PATH_IMAGE038
Average value of (d):
Figure 495305DEST_PATH_IMAGE039
Figure 264678DEST_PATH_IMAGE040
Figure 831925DEST_PATH_IMAGE041
wherein
Figure 910608DEST_PATH_IMAGE042
To represent
Figure 500990DEST_PATH_IMAGE043
Data of a jth quantization index of the ith fault,
Figure 339633DEST_PATH_IMAGE044
to represent
Figure 495808DEST_PATH_IMAGE045
Data of a jth quantization index of the ith fault,
Figure 496125DEST_PATH_IMAGE046
to represent
Figure 823070DEST_PATH_IMAGE047
Data of a jth quantization index for the ith fault;
respectively calculating the fault to be identified
Figure 262141DEST_PATH_IMAGE048
And
Figure 476085DEST_PATH_IMAGE049
,
Figure 912882DEST_PATH_IMAGE050
,
Figure 274594DEST_PATH_IMAGE051
the euler distance between them is:
Figure 455039DEST_PATH_IMAGE052
Figure 772757DEST_PATH_IMAGE053
Figure 177194DEST_PATH_IMAGE054
order to
Figure 229463DEST_PATH_IMAGE055
Then a current-voltage fault can be obtained
Figure 682441DEST_PATH_IMAGE056
Short circuit and open circuit failure
Figure 933294DEST_PATH_IMAGE057
And temperature failure
Figure 446315DEST_PATH_IMAGE058
Is:
Figure 235148DEST_PATH_IMAGE059
Figure 554134DEST_PATH_IMAGE060
；
Figure 862756DEST_PATH_IMAGE061
Figure 546678DEST_PATH_IMAGE062
；
Figure 104698DEST_PATH_IMAGE063
Figure 430637DEST_PATH_IMAGE064
；
substituting the quantitative index of the fault recording wave u into the above formula to obtain the fault recording wave u to the current and voltage fault
Figure 577454DEST_PATH_IMAGE056
Short circuit and open circuit failure
Figure 494594DEST_PATH_IMAGE065
And temperature failure
Figure 743173DEST_PATH_IMAGE066
Judging the fault type to which the fault recording u belongs according to the maximum membership principle, and marking the fault type to which the fault recording u belongs.
2. The intelligent diagnosis system with recording function for low voltage distribution of claim 1, wherein the line monitoring data comprises measured voltage/current monitoring data, residual current monitoring data, active/reactive power monitoring data, cable temperature monitoring data, protection current monitoring data;
the line fault monitoring data comprises overload fault detection data, overvoltage fault detection data, short-circuit instantaneous fault detection data, undervoltage fault detection data, short-circuit short-time fault detection data and temperature anomaly detection data;
line status data includes power down/power back status data.
3. The intelligent diagnosis system with recording function for low voltage distribution in accordance with claim 1, wherein the intelligent side device uploads the monitoring data based on a predetermined period.
4. The intelligent diagnosis system with recording function for low voltage distribution in accordance with claim 1, wherein the data of the current day is updated based on the update of the monitoring data, and the chart drawn based on the data of the current day is updated synchronously with the data of the current day.
5. The intelligent diagnosis system with recording function for low voltage distribution according to claim 1, wherein the event information includes event type, line of action corresponding to the event, event occurrence time, and monitoring data during action corresponding to the event;
wherein the event types include: a power outage/restoration event, a short circuit short time fault event, an overload fault event, an overvoltage fault event, a short circuit transient fault event, an undervoltage fault event.
6. The system of claim 1, wherein the historical data query request includes a specified time period, a specified line, and a specified type.
7. The intelligent diagnosis system with recording function for low voltage distribution according to claim 1, wherein the event information related to the event information is retrieved according to the historical event query request by one or more of the following methods:
firstly, event information in the same time period is correlated;
secondly, event information of the same action line is correlated;
and thirdly, associating the same type of event information.
8. The intelligent diagnosis system with recording function for low-voltage distribution according to claim 1, wherein the method for retrieving the relevant recording information according to the relevant recording inquiry request is one or more of the following methods:
firstly, correlating the recording information in the same time period;
secondly, correlating the recording information of the same action line;
and thirdly, associating the recording information of the same fault type.
9. The intelligent diagnosis system with recording function for low voltage distribution of claim 1, wherein the cloud platform further comprises a sending unit for sending data and a receiving unit for receiving data, the receiving unit is used for receiving information from the user terminal and the intelligent side device, and the sending unit is used for sending information to the user terminal and the intelligent side device.
10. The intelligent diagnosis system with recording function for low voltage distribution of claim 1, wherein the quantization index a is maximum voltage, the quantization index B is maximum current, the quantization index C is minimum voltage, the quantization index D is minimum current, the quantization index E is voltage drop rate, the quantization index F is voltage increase rate, the quantization index G is current increase rate, the quantization index H is current decrease rate, the quantization index I is maximum temperature, and the quantization index J is minimum temperature.
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