CN117553859A - Intelligent detection system and detection method for high-low voltage power distribution cabinet - Google Patents
Intelligent detection system and detection method for high-low voltage power distribution cabinet Download PDFInfo
- Publication number
- CN117553859A CN117553859A CN202311604883.2A CN202311604883A CN117553859A CN 117553859 A CN117553859 A CN 117553859A CN 202311604883 A CN202311604883 A CN 202311604883A CN 117553859 A CN117553859 A CN 117553859A
- Authority
- CN
- China
- Prior art keywords
- unit
- data
- module
- distribution cabinet
- power distribution
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 86
- 238000012544 monitoring process Methods 0.000 claims abstract description 48
- 238000007405 data analysis Methods 0.000 claims abstract description 25
- 230000002159 abnormal effect Effects 0.000 claims abstract description 16
- 230000000694 effects Effects 0.000 claims abstract description 8
- 238000013461 design Methods 0.000 claims abstract description 5
- 238000012423 maintenance Methods 0.000 claims description 37
- 238000004458 analytical method Methods 0.000 claims description 23
- 238000003745 diagnosis Methods 0.000 claims description 19
- 230000005856 abnormality Effects 0.000 claims description 18
- 238000007781 pre-processing Methods 0.000 claims description 15
- 238000012545 processing Methods 0.000 claims description 9
- 238000013500 data storage Methods 0.000 claims description 6
- 238000007619 statistical method Methods 0.000 claims description 6
- 238000000034 method Methods 0.000 claims description 5
- 238000001914 filtration Methods 0.000 claims description 3
- 238000012806 monitoring device Methods 0.000 claims description 3
- 238000010606 normalization Methods 0.000 claims description 3
- 238000013468 resource allocation Methods 0.000 claims description 3
- 238000005070 sampling Methods 0.000 claims description 3
- 238000013480 data collection Methods 0.000 abstract description 2
- 238000011897 real-time detection Methods 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 238000012800 visualization Methods 0.000 description 1
Classifications
-
- 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R21/00—Arrangements for measuring electric power or power factor
- G01R21/006—Measuring power factor
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/185—Electrical failure alarms
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The utility model relates to a switch board detects relevant technical field, discloses a high-low voltage power distribution cabinet's intelligent detection system and detection method thereof, including detecting system, detecting system includes sensor module, data acquisition module, data analysis module, remote monitoring module, state monitoring module and early warning module, sensor module is connected with data acquisition module, remote monitoring module is connected with state detection module, state detection module is connected with early warning module. The sensor module is used for detecting the inside of the high-low voltage power distribution cabinet in real time, the data detected by the sensor is collected according to data collection, and the real-time detection of the data running inside the high-low voltage power distribution cabinet is achieved through the design, so that the effect of locating and maintaining the abnormal data inside the high-low voltage power distribution cabinet is achieved, and the problems of short service life and potential safety hazards of the low-voltage power distribution cabinet are solved.
Description
Technical Field
The invention relates to the technical field related to detection of power distribution cabinets, in particular to an intelligent detection system and method for a high-low voltage power distribution cabinet.
Background
In the processes of power generation, power transformation, power transmission, power distribution and the like of the power system, the power distribution cabinet plays roles of on-off, control, protection and the like. The power distribution cabinet is a main body supporting body for installing various control electric elements in power equipment, a plurality of electric elements are assembled on the cabinet body together, operation and management are convenient, high-low voltage conversion is convenient, the power distribution cabinet is an electric equipment, external wires of the power distribution cabinet firstly enter a main control switch in the cabinet, then enter a sub-control switch, and all paths are arranged according to the requirements. The power distribution cabinet is internally provided with various electric elements such as a meter, an automatic controller, a motor magnetic switch, various alternating current contactors and the like, and is also provided with a high-voltage chamber and a low-voltage chamber.
The intelligent detection system of the traditional high-low voltage power distribution cabinet can only detect the environment of the power distribution cabinet, but cannot detect the working data of the power distribution cabinet in the running state, so that the detected data cannot be uploaded and positioned in real time, the abnormal data can not be found timely by an maintainer, and the problem that the service life of the high-low voltage power distribution cabinet is short and potential safety hazards exist can be solved.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an intelligent detection system and a detection method for a high-low voltage power distribution cabinet, which solve the problem that the detected data cannot be uploaded and positioned in real time so as to solve the problem that the abnormal data of the power distribution cabinet in the running state is detected in real time because the working data of the power distribution cabinet in the running state cannot be detected.
In order to achieve the above purpose, the invention is realized by the following technical scheme: the intelligent detection system of the high-low voltage power distribution cabinet comprises a detection system, wherein the detection system comprises a sensor module, a data acquisition module, a data analysis module, a remote monitoring module, a state monitoring module and an early warning module, the sensor module is connected with the data acquisition module, the data acquisition module is connected with the data analysis module, the data analysis module is connected with the remote monitoring module, the remote monitoring module is connected with the state detection module, and the state detection module is connected with the early warning module;
the sensor module is used for monitoring various parameters and states in the power distribution cabinet in real time by various types of sensors, including current, voltage, temperature, humidity and power factor, and the sensors can be installed at key positions to acquire accurate and comprehensive data.
Preferably, the sensor module comprises a voltage sensor unit, a current sensor unit and a temperature sensor unit, wherein the sensor module is connected with the voltage sensor unit, the voltage sensor unit is connected with the current sensor unit, and the current sensor unit is connected with the temperature sensor unit;
the sensor module is used for collecting data of related parameters in real time, transmitting the data to the system for analysis and processing, and the system can obtain accurate and comprehensive power distribution cabinet data through the combination of the sensors, so that intelligent monitoring of the state and the parameters of the power distribution cabinet is realized.
Preferably, the data acquisition module comprises a data receiving unit, a data preprocessing unit and a data storage unit, wherein the data receiving unit is connected with the data preprocessing unit, and the data preprocessing unit is connected with the data storage unit;
the data receiving unit is used for receiving data from the sensor and the monitoring device and transmitting the data to the data acquisition and processing unit of the system for processing and analysis.
Preferably, the data analysis module comprises a statistical analysis unit, a trend analysis unit and an abnormality detection unit, wherein the statistical analysis unit is connected with the trend analysis unit, and the trend analysis unit is connected with the abnormality detection unit;
the anomaly detection unit is used for receiving the power data acquired by the sensor, and performing sampling, filtering and normalization preprocessing operations on the data so as to facilitate subsequent data analysis and anomaly detection.
Preferably, the abnormality detection unit comprises an overload unit, a short-circuit unit and a voltage abnormality unit, wherein the abnormality detection unit is connected with the overload unit, the overload unit is connected with the short-circuit unit, and the short-circuit unit is connected with the voltage abnormality unit;
the overload unit is used for monitoring and detecting whether overload conditions occur in the power equipment. Overload generally refers to a load carried by an electrical device that exceeds its rated capacity or design parameters, resulting in the device operating at too high a load. Overload may cause problems such as equipment failure, damage or loss of power stability, so timely detection of overload conditions is critical to safe and normal operation of the equipment.
Preferably, the remote monitoring module comprises a real-time state monitoring unit, a remote control switch unit and an equipment diagnosis and maintenance unit, the remote monitoring module is connected with the real-time state monitoring unit, the real-time state monitoring unit is connected with the remote control switch unit, and the remote control switch unit is connected with the equipment diagnosis and maintenance unit;
the equipment diagnosis and maintenance unit is used for providing maintenance suggestions and decision support according to the diagnosis result and the set maintenance strategy, can judge the emergency degree and the influence range of faults, gives out suggested maintenance methods and maintenance plans, and helps operation and maintenance staff to formulate reasonable maintenance strategies and resource allocation.
Preferably, the equipment diagnosis and maintenance unit comprises a positioning unit and a damage searching unit, wherein the equipment diagnosis and maintenance unit is connected with the positioning unit, and the positioning unit is connected with the damage searching unit;
the positioning unit is used for positioning and searching damaged equipment, so that the equipment is convenient to overhaul and maintain.
Preferably, the state detection module comprises an operation detection unit and a released power detection unit, the state detection module is connected with the operation detection unit, and the operation detection unit is connected with the released power detection unit;
the operation monitoring unit is used for detecting the electric power in operation in real time, so that whether the operation is normal or not can be judged conveniently.
Preferably, the early warning module comprises a report unit, a message notification unit and a data recording unit, wherein the report unit is connected with the message notification unit, and the message notification unit is connected with the data recording unit;
the early warning module is used for detecting the detected data and is convenient for notifying the detected abnormal data.
An intelligent detection method of a high-low voltage power distribution cabinet comprises the following steps of;
firstly, detecting the voltage, the current and the temperature in the power distribution cabinet in real time through a sensor module, acquiring data detected by the sensor in real time through data acquisition, and uploading the acquired data;
step two, the collected data are received and preprocessed, and meanwhile, the collected data are stored in real time, so that data analysis is convenient, and trend analysis and anomaly analysis are carried out according to the analyzed data;
and thirdly, detecting equipment after the data analysis is finished, and detecting the power distribution cabinet in real time through a remote monitoring module when abnormal data is detected, uploading the detected state in real time, and locating and searching damaged and faulty equipment at the same time, so that the effect of detecting in real time is achieved.
The invention provides an intelligent detection system and an intelligent detection method for a high-low voltage power distribution cabinet. The beneficial effects are as follows:
1. according to the invention, the inside of the high-low voltage power distribution cabinet is detected in real time through the sensor module, the data detected by the sensor is collected according to data collection, meanwhile, the collected data is analyzed, the analyzed numerical value is subjected to trend and abnormal data analysis effects, the real-time detection of the data running in the high-low voltage power distribution cabinet is achieved through the design, the effect of positioning and maintaining the abnormal data in the high-low voltage power distribution cabinet is achieved, and the problems of short service life and potential safety hazard of the low-voltage power distribution cabinet are solved.
2. According to the invention, the abnormal data is divided through the abnormal detection, the problem of sudden abnormal data damage is solved through remote real-time monitoring of different abnormal data, and the effect of real-time updating and diagnosis is carried out according to the abnormal data, so that the effect of further prolonging the service life of the high-low voltage power distribution cabinet is achieved.
Drawings
FIG. 1 is a main frame diagram of the present invention;
FIG. 2 is a flow chart of a sensor module of the present invention;
FIG. 3 is a flow chart of a data acquisition module according to the present invention;
FIG. 4 is a flow chart of a data analysis module according to the present invention;
FIG. 5 is a flow chart of an anomaly detection unit of the present invention;
FIG. 6 is a flow chart of a remote monitoring module according to the present invention;
FIG. 7 is a flow chart of a device diagnostic and maintenance unit of the present invention;
FIG. 8 is a flow chart of a status detection module according to the present invention;
FIG. 9 is a flow chart of the early warning module of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment one:
referring to fig. 1-9, an embodiment of the invention provides an intelligent detection system of a high-low voltage power distribution cabinet, which comprises a detection system, wherein the detection system comprises a sensor module, a data acquisition module, a data analysis module, a remote monitoring module, a state monitoring module and an early warning module, the sensor module is connected with the data acquisition module, the data acquisition module is connected with the data analysis module, the data analysis module is connected with the remote monitoring module, the remote monitoring module is connected with the state detection module, and the state detection module is connected with the early warning module;
the sensor module is used for monitoring various parameters and states in the power distribution cabinet in real time by various types of sensors, including current, voltage, temperature, humidity and power factor, and the sensors can be installed at key positions to acquire accurate and comprehensive data.
Specifically, the state monitoring module is used for displaying the state data of the equipment in the form of a chart, a curve, a dynamic diagram and the like through a visualization technology, so that operation and maintenance personnel can intuitively know the operation condition of the equipment, find potential problems and make corresponding maintenance decisions.
The sensor module comprises a voltage sensor unit, a current sensor unit and a temperature sensor unit, the sensor module is connected with the voltage sensor unit, the voltage sensor unit is connected with the current sensor unit, and the current sensor unit is connected with the temperature sensor unit;
the sensor module is used for collecting data of related parameters in real time, transmitting the data to the system for analysis and processing, and the system can obtain accurate and comprehensive power distribution cabinet data through the combination of the sensors, so that intelligent monitoring of the state and the parameters of the power distribution cabinet is realized.
The data acquisition module comprises a data receiving unit, a data preprocessing unit and a data storage unit, wherein the data receiving unit is connected with the data preprocessing unit, and the data preprocessing unit is connected with the data storage unit;
the data receiving unit is used for receiving data from the sensor and the monitoring device and transmitting the data to the data acquisition and processing unit of the system for processing and analysis.
Specifically, the data preprocessing unit is used for preprocessing and preparing raw data so as to facilitate subsequent data analysis and modeling, and the data preprocessing aims at converting and integrating the data so as to facilitate the use for further analysis tasks.
The data analysis module comprises a statistical analysis unit, a trend analysis unit and an abnormality detection unit, wherein the statistical analysis unit is connected with the trend analysis unit, and the trend analysis unit is connected with the abnormality detection unit;
the anomaly detection unit is used for receiving the power data acquired by the sensor, and performing sampling, filtering and normalization preprocessing operations on the data so as to facilitate subsequent data analysis and anomaly detection.
The abnormality detection unit comprises an overload unit, a short circuit unit and a voltage abnormality unit, wherein the abnormality detection unit is connected with the overload unit, the overload unit is connected with the short circuit unit, and the short circuit unit is connected with the voltage abnormality unit;
the overload unit is used for monitoring and detecting whether the power equipment is overloaded. Overload generally refers to a load carried by an electrical device that exceeds its rated capacity or design parameters, resulting in the device operating at too high a load. Overload may cause problems such as equipment failure, damage or loss of power stability, so timely detection of overload conditions is critical to safe and normal operation of the equipment.
The remote monitoring module comprises a real-time state monitoring unit, a remote control switch unit and an equipment diagnosis and maintenance unit, the remote monitoring module is connected with the real-time state monitoring unit, the real-time state monitoring unit is connected with the remote control switch unit, and the remote control switch unit is connected with the equipment diagnosis and maintenance unit;
the equipment diagnosis and maintenance unit is used for providing maintenance suggestions and decision support according to the diagnosis result and the set maintenance strategy, can judge the emergency degree and the influence range of faults, gives out suggested maintenance methods and maintenance plans, and helps operation and maintenance staff to formulate reasonable maintenance strategies and resource allocation.
The equipment diagnosis and maintenance unit comprises a positioning unit and a damage searching unit, the equipment diagnosis and maintenance unit is connected with the positioning unit, and the positioning unit is connected with the damage searching unit;
the positioning unit is used for positioning and searching damaged equipment, so that the equipment is convenient to overhaul and maintain.
Specifically, the damage searching unit is used for positioning and judging the detected data, so that analysis and maintenance are convenient.
The state detection module comprises an operation detection unit and a released power detection unit, the state detection module is connected with the operation detection unit, and the operation detection unit is connected with the released power detection unit;
the operation monitoring unit is used for detecting the electric power in operation in real time, so that whether the operation is normal or not can be judged conveniently.
The early warning module comprises a report unit, a message notification unit and a data recording unit, wherein the report unit is connected with the message notification unit, and the message notification unit is connected with the data recording unit;
the early warning module is used for detecting the detected data and is convenient for notifying the detected abnormal data.
Embodiment two:
the embodiment provides an intelligent detection method for a high-low voltage power distribution cabinet on the basis of the embodiment, which comprises the following steps of;
firstly, detecting the voltage, the current and the temperature in the power distribution cabinet in real time through a sensor module, acquiring data detected by the sensor in real time through data acquisition, and uploading the acquired data;
step two, the collected data are received and preprocessed, and meanwhile, the collected data are stored in real time, so that data analysis is convenient, and trend analysis and anomaly analysis are carried out according to the analyzed data;
and thirdly, detecting equipment after the data analysis is finished, and detecting the power distribution cabinet in real time through a remote monitoring module when abnormal data is detected, uploading the detected state in real time, and locating and searching damaged and faulty equipment at the same time, so that the effect of detecting in real time is achieved.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. The intelligent detection system of the high-low voltage power distribution cabinet comprises a detection system and is characterized by comprising a sensor module, a data acquisition module, a data analysis module, a remote monitoring module, a state monitoring module and an early warning module, wherein the sensor module is connected with the data acquisition module, the data acquisition module is connected with the data analysis module, the data analysis module is connected with the remote monitoring module, the remote monitoring module is connected with the state detection module, and the state detection module is connected with the early warning module;
the sensor module is used for monitoring various parameters and states in the power distribution cabinet in real time by various types of sensors, including current, voltage, temperature, humidity and power factor, and the sensors can be installed at key positions to acquire accurate and comprehensive data.
2. The intelligent detection system of a high-low voltage power distribution cabinet according to claim 1, wherein the sensor module comprises a voltage sensor unit, a current sensor unit and a temperature sensor unit, the sensor module is connected with the voltage sensor unit, the voltage sensor unit is connected with the current sensor unit, and the current sensor unit is connected with the temperature sensor unit;
the sensor module is used for collecting data of related parameters in real time, transmitting the data to the system for analysis and processing, and the system can obtain accurate and comprehensive power distribution cabinet data through the combination of the sensors, so that intelligent monitoring of the state and the parameters of the power distribution cabinet is realized.
3. The intelligent detection system of the high-low voltage power distribution cabinet according to claim 1, wherein the data acquisition module comprises a data receiving unit, a data preprocessing unit and a data storage unit, the data receiving unit is connected with the data preprocessing unit, and the data preprocessing unit is connected with the data storage unit;
the data receiving unit is used for receiving data from the sensor and the monitoring device and transmitting the data to the data acquisition and processing unit of the system for processing and analysis.
4. The intelligent detection system of the high-low voltage power distribution cabinet according to claim 1, wherein the data analysis module comprises a statistical analysis unit, a trend analysis unit and an abnormality detection unit, the statistical analysis unit is connected with the trend analysis unit, and the trend analysis unit is connected with the abnormality detection unit;
the anomaly detection unit is used for receiving the power data acquired by the sensor, and performing sampling, filtering and normalization preprocessing operations on the data so as to facilitate subsequent data analysis and anomaly detection.
5. The intelligent detection system of a high-low voltage power distribution cabinet according to claim 4, wherein the abnormality detection unit comprises an overload unit, a short-circuit unit and a voltage abnormality unit, the abnormality detection unit is connected with the overload unit, the overload unit is connected with the short-circuit unit, and the short-circuit unit is connected with the voltage abnormality unit;
the overload unit is used for monitoring and detecting whether overload conditions occur in the power equipment. Overload generally refers to the fact that a load borne by an electric power device exceeds a rated capacity or design parameters of the electric power device, so that the overload can cause problems such as equipment failure, damage or loss of power stability when the device operates under an excessively high load state, and therefore timely detection of the overload condition is important for safe and normal operation of the device.
6. The intelligent detection system of a high-low voltage power distribution cabinet according to claim 1, wherein the remote monitoring module comprises a real-time state monitoring unit, a remote control switch unit and a device diagnosis and maintenance unit, the remote monitoring module is connected with the real-time state monitoring unit, the real-time state monitoring unit is connected with the remote control switch unit, and the remote control switch unit is connected with the device diagnosis and maintenance unit;
the equipment diagnosis and maintenance unit is used for providing maintenance suggestions and decision support according to the diagnosis result and the set maintenance strategy, can judge the emergency degree and the influence range of faults, gives out suggested maintenance methods and maintenance plans, and helps operation and maintenance staff to formulate reasonable maintenance strategies and resource allocation.
7. The intelligent detection system of a high-low voltage power distribution cabinet according to claim 6, wherein the equipment diagnosis and maintenance unit comprises a positioning unit and a damage searching unit, the equipment diagnosis and maintenance unit is connected with the positioning unit, and the positioning unit is connected with the damage searching unit;
the positioning unit is used for positioning and searching damaged equipment, so that the equipment is convenient to overhaul and maintain.
8. The intelligent detection system of a high-low voltage power distribution cabinet according to claim 1, wherein the state detection module comprises an operation detection unit and a released power detection unit, the state detection module is connected with the operation detection unit, and the operation detection unit is connected with the released power detection unit;
the operation monitoring unit is used for detecting the electric power in operation in real time, so that whether the operation is normal or not can be judged conveniently.
9. The intelligent detection system of a high-low voltage power distribution cabinet according to claim 1, wherein the early warning module comprises a report unit, a message notification unit and a data recording unit, the report unit is connected with the message notification unit, and the message notification unit is connected with the data recording unit;
the early warning module is used for detecting the detected data and is convenient for notifying the detected abnormal data.
10. An intelligent detection method for a high-low voltage power distribution cabinet, which uses the intelligent detection system for the high-low voltage power distribution cabinet according to any one of claims 1-9, and is characterized by comprising the following steps of;
firstly, detecting the voltage, the current and the temperature in the power distribution cabinet in real time through a sensor module, acquiring data detected by the sensor in real time through data acquisition, and uploading the acquired data;
step two, the collected data are received and preprocessed, and meanwhile, the collected data are stored in real time, so that data analysis is convenient, and trend analysis and anomaly analysis are carried out according to the analyzed data;
and thirdly, detecting equipment after the data analysis is finished, and detecting the power distribution cabinet in real time through a remote monitoring module when abnormal data is detected, uploading the detected state in real time, and locating and searching damaged and faulty equipment at the same time, so that the effect of detecting in real time is achieved.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311604883.2A CN117553859A (en) | 2023-11-29 | 2023-11-29 | Intelligent detection system and detection method for high-low voltage power distribution cabinet |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311604883.2A CN117553859A (en) | 2023-11-29 | 2023-11-29 | Intelligent detection system and detection method for high-low voltage power distribution cabinet |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117553859A true CN117553859A (en) | 2024-02-13 |
Family
ID=89820366
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311604883.2A Pending CN117553859A (en) | 2023-11-29 | 2023-11-29 | Intelligent detection system and detection method for high-low voltage power distribution cabinet |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117553859A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118646162A (en) * | 2024-08-12 | 2024-09-13 | 浙江万迪森电气有限公司 | A remote maintenance system for high and low voltage complete sets of power distribution equipment |
| CN118707221A (en) * | 2024-07-01 | 2024-09-27 | 国网河南省电力公司周口供电公司 | Real-time online monitoring method and system for power load of power distribution equipment |
| CN119010355A (en) * | 2024-08-27 | 2024-11-22 | 北京兴业建达电气有限公司 | High-low voltage power distribution real-time monitoring system based on edge calculation |
| CN120498831A (en) * | 2025-06-12 | 2025-08-15 | 易仁通电气集团股份有限公司 | Switch board safety monitoring system based on remote monitoring |
-
2023
- 2023-11-29 CN CN202311604883.2A patent/CN117553859A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118707221A (en) * | 2024-07-01 | 2024-09-27 | 国网河南省电力公司周口供电公司 | Real-time online monitoring method and system for power load of power distribution equipment |
| CN118646162A (en) * | 2024-08-12 | 2024-09-13 | 浙江万迪森电气有限公司 | A remote maintenance system for high and low voltage complete sets of power distribution equipment |
| CN118646162B (en) * | 2024-08-12 | 2024-11-15 | 浙江万迪森电气有限公司 | A remote maintenance system for high and low voltage complete sets of power distribution equipment |
| CN119010355A (en) * | 2024-08-27 | 2024-11-22 | 北京兴业建达电气有限公司 | High-low voltage power distribution real-time monitoring system based on edge calculation |
| CN120498831A (en) * | 2025-06-12 | 2025-08-15 | 易仁通电气集团股份有限公司 | Switch board safety monitoring system based on remote monitoring |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN117553859A (en) | Intelligent detection system and detection method for high-low voltage power distribution cabinet | |
| CN111010084B (en) | Photovoltaic power station intelligent monitoring analysis platform and method | |
| CN104020754B (en) | Method for enabling state monitoring information of transformer station primary main equipment to access to regulation and control system | |
| CN106990357A (en) | Intelligent electric machine integrated form multi-parameter fusion Gernral Check-up and early warning system | |
| CN206710565U (en) | Intelligent electric machine integrated form multi-parameter fusion Gernral Check-up and early warning system | |
| WO2024031855A1 (en) | Remote monitoring system for oil and gas in high-voltage bushing | |
| CN213210301U (en) | Transformer substation direct current abnormity detection platform based on regulation and control system | |
| CN107328438A (en) | A kind of power transformer runs comprehensive monitor system | |
| CN106443362A (en) | Power distribution network fault detection system | |
| CN201837712U (en) | Online monitoring device of HGIS (hybrid gas insulated switchgear) energy storage motor | |
| CN206057461U (en) | A kind of lightning monitoring and deterioration state monitoring system of lightning protection box | |
| GU et al. | Research on intelligent early warning algorithm for distribution network considering extreme climate conditions | |
| CN106646116A (en) | Trouble shooting and locating method for power distribution network | |
| CN114354166A (en) | Intelligent high-voltage circuit breaker energy storage spring online monitoring method and system | |
| CN119482976A (en) | Intelligent high and low voltage switch control equipment | |
| CN212321818U (en) | A kind of substation DC system early warning platform | |
| CN119471213A (en) | A method and system for intelligent analysis and diagnosis of urban rail power supply equipment faults | |
| CN112255554A (en) | A device for monitoring battery health and internal faults in a DC system | |
| CN111934426A (en) | Big data-based power grid equipment trend fault early warning system | |
| CN118783640A (en) | A substation monitoring system and method based on LabVIEW | |
| CN216449658U (en) | An on-line test device for capacitor capacitance | |
| CN118100440A (en) | Fault detection system of distributed direct-current power supply cabinet | |
| CN210376538U (en) | Online monitoring system for hump signal equipment | |
| CN220912359U (en) | Intelligent online monitoring system for comprehensive parameters of transformer | |
| CN222704124U (en) | A Fault Diagnosis System for Hydro-generator Sets |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |