[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

CN112104717A - Safety detection method for power Internet of things equipment - Google Patents

Safety detection method for power Internet of things equipment Download PDF

Info

Publication number
CN112104717A
CN112104717A CN202010912796.3A CN202010912796A CN112104717A CN 112104717 A CN112104717 A CN 112104717A CN 202010912796 A CN202010912796 A CN 202010912796A CN 112104717 A CN112104717 A CN 112104717A
Authority
CN
China
Prior art keywords
working condition
things equipment
detection
power internet
standard
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
Application number
CN202010912796.3A
Other languages
Chinese (zh)
Inventor
张凌浩
刘春�
唐勇
王豪
梁晖辉
黎思敏
唐超
向思屿
张菊玲
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Leshan Power Supply Co Of State Grid Sichuan Electric Power Co
Electric Power Research Institute of State Grid Sichuan Electric Power Co Ltd
Original Assignee
Leshan Power Supply Co Of State Grid Sichuan Electric Power Co
Electric Power Research Institute of State Grid Sichuan Electric Power Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Leshan Power Supply Co Of State Grid Sichuan Electric Power Co, Electric Power Research Institute of State Grid Sichuan Electric Power Co Ltd filed Critical Leshan Power Supply Co Of State Grid Sichuan Electric Power Co
Priority to CN202010912796.3A priority Critical patent/CN112104717A/en
Publication of CN112104717A publication Critical patent/CN112104717A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING 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
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01HMEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H17/00Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01KMEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K13/00Thermometers specially adapted for specific purposes
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/06Investigating concentration of particle suspensions
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R19/00Arrangements for measuring currents or voltages or for indicating presence or sign thereof
    • G01R19/165Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/50Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
    • G01R31/52Testing for short-circuits, leakage current or ground faults
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B25/00Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
    • G08B25/01Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
    • G08B25/10Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using wireless transmission systems
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B7/00Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
    • G08B7/06Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources

Landscapes

  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Health & Medical Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Signal Processing (AREA)
  • Medical Informatics (AREA)
  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Computing Systems (AREA)
  • Dispersion Chemistry (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Alarm Systems (AREA)

Abstract

The invention discloses a security detection method of power Internet of things equipment, which comprises the following specific steps of accessing the power Internet of things equipment to a standard working condition output terminal, then starting a sensing layer detection unit of the power Internet of things equipment, inputting rated parameters of the power Internet of things equipment, sensing layer functions and operation execution functions into an industrial personal computer, wherein the operation detection standard value Y1 is obtained after the operation execution functions are input; according to the method, the working condition type is formulated in the industrial personal computer according to the sensing layer function of the power Internet of things equipment, the normal working condition output terminal is started according to a control command, the set normal working condition parameters are output, and the power Internet of things equipment senses the working condition through the working condition parameter acquisition unit.

Description

Safety detection method for power Internet of things equipment
Technical Field
The invention relates to the technical field of safety detection of Internet of things, in particular to a safety detection method for power Internet of things equipment.
Background
With the rapid increase of the number of global networking devices, the interconnection of everything becomes an important direction for the future development of the global network. According to the forecast, the networking quantity of global Internet of things equipment in 2025 can reach two billions, and the intelligent Internet of things equipment is widely applied to various fields such as smart cities, smart traffic, intelligent production, smart homes and the like. At the same time, a number of security issues and threats associated therewith have become increasingly interesting.
The power internet of things equipment has the functions of running state information acquisition, data uploading and operation execution, and the running state information generally comprises basic information such as voltage, current, phase angle, frequency, time and the like, and further comprises the conditions of abnormal electric energy quality, short-circuit fault and the like for special running conditions. At present, the safety problem of the terminal equipment of the Internet of things is mainly detected aiming at specific terminal equipment, and data synchronization and comparison among equipment are not carried out, so that the safety problem among the equipment which possibly exists is found.
Disclosure of Invention
The technical problem to be solved by the invention is to overcome the existing defects and provide a safety detection method for power internet of things equipment, which can effectively solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a safety detection method for power Internet of things equipment comprises the following specific steps,
s1, accessing the power Internet of things equipment to a standard working condition output terminal, then starting a sensing layer detection unit of the power Internet of things equipment, inputting rated parameters, sensing layer functions and operation execution functions of the power Internet of things equipment into an industrial personal computer, wherein the operation execution functions are input to be operation detection standard values Y1;
s2, working condition types are formulated in the industrial personal computer according to the sensing layer function of the power Internet of things equipment, detection is started, and a control instruction is sent to a standard working condition output terminal;
s3, starting a normal working condition output end by the standard working condition output terminal according to a control instruction, outputting a set rated voltage U, a set rated current I, a set rated frequency f and a set rated range phase angle of a normal working condition, sensing the working condition by the power Internet of things equipment through a working condition parameter acquisition unit, acquiring data through a sensor and uploading the data;
s4, synchronously acquiring output of a standard working condition output terminal by a working condition parameter acquisition unit and a power Internet of things equipment sensor, transmitting the output to an industrial personal computer after passing through a data collection node terminal, and processing and storing the output by the industrial personal computer to be used as a working condition detection standard value Y2;
s5, acquiring various parameters of the power Internet of things equipment body under the normal working condition by the operation execution acquisition unit, and transmitting the parameters to the industrial personal computer, wherein the parameters are processed and stored by the industrial personal computer to serve as an operation detection measurement value Y3;
s6, detecting the internal environment and the real-time working condition of the power Internet of things equipment through the internal environment detection unit and the real-time working condition detection unit, transmitting detection data to the data node convergence terminal, and uploading the detection data to the industrial personal computer through the data node convergence terminal;
s7, the industrial personal computer compares the detection value with the standard value, gives a result, judges whether the detection value meets the requirement, compares the detection result with a standard data value prestored in the industrial personal computer, judges whether the environment inside the electric power Internet of things equipment is abnormal or not, and controls the alarm module to give an alarm when the environment inside the electric power Internet of things equipment is abnormal.
As a preferred technical scheme, the internal environment detection unit comprises a vibration detection module, a temperature detection module, a humidity detection module, a smoke detection module and an aging detection module, the real-time working condition detection unit comprises a current detection module, a voltage detection module and a leakage detection module, and the internal environment detection unit and the real-time working condition detection unit are both in communication connection with the industrial personal computer.
As a preferred technical solution of the present invention, the vibration detection module is a vibration sensor, the temperature detection module is a temperature sensor, the humidity detection module is a humidity sensor, the smoke detection module is a smoke sensor, the current detection module is a current sensor, the voltage detection module is a voltage sensor, and the aging detection module is a noise sensor.
As a preferred technical scheme of the invention, the standard working condition output terminal (2) comprises a normal working condition output end and an abnormal working condition output end, wherein the normal working condition output end generates standard working conditions of voltage, current, phase angle and frequency for detecting the accuracy of the sensor and network protocol; the abnormal working condition output end generates a standard power quality abnormal working condition or a standard short-circuit fault working condition and is used for detecting a sensor power quality sensing function, a short-circuit fault sensing function, an edge calculation function and an on-site operation execution function.
According to a preferable technical scheme of the invention, the power quality abnormal working conditions comprise voltage deviation, voltage fluctuation and flicker, three-phase voltage unbalance, frequency deviation, harmonic waves and intermittent waves, and the short-circuit fault working conditions comprise single-phase earth fault, interphase short-circuit fault and three-phase short-circuit fault.
According to the preferable technical scheme, the output end of the industrial personal computer at the input end of the standard working condition output terminal is connected with the control command sent by the industrial personal computer for receiving the control command, the output end of the standard working condition output terminal is connected with the input end of the power Internet of things equipment, and the standard working condition output terminal outputs the working condition to the power Internet of things equipment according to the control command sent by the industrial personal computer.
As a preferred technical solution of the present invention, an input end of the operating condition parameter collecting unit is connected to an output end of a standard operating condition output terminal, and is used for collecting operating condition information output by the standard operating condition output terminal to the power internet of things device, an output end of the operating condition parameter collecting unit is connected to the industrial personal computer and is used for transmitting the collected operating condition information to the industrial personal computer, an input end of the operation execution collecting unit and an input end of the data collection node terminal are connected to an output end of the power internet of things device and are used for collecting operation execution data of the power internet of things device, and output ends of the operation execution collecting unit and the data collection node terminal are connected to the industrial personal computer and are used for transmitting the collected operation.
As a preferred technical scheme of the invention, the alarm module comprises a wireless communication module and an audible and visual alarm.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, through arranging the electric power Internet of things equipment, the standard working condition output terminal, the working condition parameter acquisition unit, the operation execution acquisition unit, the data collection node terminal and the industrial personal computer, the electric power Internet of things equipment is detected through the internal environment detection unit and the real-time working condition detection unit, detection data are sent to the industrial personal computer in real time, and when the detection data are abnormal, an alarm is given; the system is used for solving the function detection of the running state information acquisition, data uploading and operation execution of the power Internet of things equipment, the system can evaluate the overall performance of the sensing layer of the power Internet of things equipment, the detection method can integrally evaluate important function requirements such as sensor performance, sensor network performance and communication protocols, and the detection method is a rapid and effective safety detection method.
Drawings
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is a schematic structural diagram of an internal environment detection unit according to the present invention;
fig. 3 is a schematic structural diagram of an implementation condition detection unit of the present invention.
In the figure: 1. an industrial personal computer; 2. a standard working condition output terminal; 3. electric power Internet of things equipment; 4. a working condition parameter acquisition unit; 5. a data collection node terminal; 6. an operation execution acquisition unit; 7. and an alarm module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-3, the present invention provides a technical solution: a safety detection method for power Internet of things equipment comprises the following specific steps,
s1, connecting the power Internet of things equipment 3 to the standard working condition output terminal 2, then starting a sensing layer detection unit of the power Internet of things equipment, inputting rated parameters, sensing layer functions and operation execution functions of the power Internet of things equipment 3 into the industrial personal computer 1, wherein the operation execution functions are input to be operation detection standard values Y1;
s2, working condition types are formulated in the industrial personal computer 1 according to the sensing layer function of the power Internet of things equipment 3, detection is started, and a control instruction is sent to the standard working condition output terminal 2;
s3, the standard working condition output terminal 2 starts a normal working condition output end according to a control instruction, rated voltage U, rated current I, rated frequency f and a rated range phase angle of a set normal working condition are output, the power Internet of things equipment 3 senses the working condition through the working condition parameter acquisition unit 4, and data are acquired and uploaded through a sensor;
s4, the working condition parameter acquisition unit 4 and the power Internet of things equipment 3 sensor synchronously acquire output of the standard working condition output terminal 2, the output is transmitted to the industrial personal computer 1 after passing through the data collection node terminal 5, and the industrial personal computer 1 processes and stores the output as a working condition detection standard value Y2;
s5, the operation execution acquisition unit 6 acquires various parameters of the power Internet of things equipment 3 body under normal working conditions and transmits the parameters to the industrial personal computer 1, and the industrial personal computer 1 processes and stores the parameters as an operation detection measurement value Y3;
s6, simultaneously detecting the internal environment and the real-time working condition of the power Internet of things equipment 3 through the internal environment detection unit and the real-time working condition detection unit, transmitting detection data to the data node convergence terminal, and uploading the detection data to the industrial personal computer 1 through the data node convergence terminal;
s7, the industrial personal computer 1 compares the detection value with the standard value to give a result, judges whether the detection value meets the requirement, compares the detection result with a standard data value prestored in the industrial personal computer 1 to judge whether the environment inside the electric power Internet of things equipment 3 is abnormal or not, and when the environment inside the electric power Internet of things equipment 3 is abnormal, the industrial personal computer 1 controls the alarm module 7 to give an alarm.
In this embodiment, it is preferred, internal environment detecting element includes vibration detection module, temperature detection module, humidity detecting module, smog detecting module and ageing detecting module, real-time operating mode detecting element includes current detection module, voltage detection module and electric leakage detecting module, internal environment detecting element and real-time operating mode detecting element all with industrial computer 1 communication connection.
In this embodiment, preferably, the vibration detection module is a vibration sensor, and is configured to detect whether the power cabinet is stable; the temperature detection module is a temperature sensor and is used for detecting the working temperature in the electric power cabinet; the humidity detection module is a humidity sensor and is used for detecting the humidity in the electric power cabinet; the smoke detection module is a smoke sensor and is used for detecting whether the interior of the electric power cabinet works safely or not; the current detection module is a current sensor and is used for detecting whether the working current of the electric power cabinet is stable or not; the voltage detection module is a voltage sensor and is used for detecting whether the working voltage of the electric power cabinet is stable or not; the aging detection module is a noise sensor and is used for detecting whether electronic elements of the power cabinet are aged or not.
In this embodiment, preferably, the standard condition output terminal 2 includes a normal condition output terminal and an abnormal condition output terminal, and the normal condition output terminal generates standard voltage, current, phase angle and frequency conditions for detecting the accuracy of the sensor and the network protocol; the abnormal working condition output end generates a standard power quality abnormal working condition or a standard short-circuit fault working condition and is used for detecting a sensor power quality sensing function, a short-circuit fault sensing function, an edge calculation function and an on-site operation execution function.
In this embodiment, preferably, the abnormal operating conditions of the power quality include voltage deviation, voltage fluctuation and flicker, three-phase voltage unbalance, frequency deviation, harmonics and intermittent waves, and the short-circuit fault operating conditions include single-phase ground fault, inter-phase short-circuit fault and three-phase short-circuit fault.
In this embodiment, it is preferred, the output of input industrial computer 1 of standard operating mode output terminal 2 is connected and is used for receiving the control command that industrial computer 1 sent, the output of standard operating mode output terminal 2 is connected with the input of electric power thing networking device 3, and standard operating mode output terminal 2 exports the operating mode to electric power thing networking device 3 according to the control command that industrial computer 1 sent.
In this embodiment, it is preferred, the output of standard operating mode output terminal 2 is connected to operating mode parameter acquisition unit 4's input, gathers the operating mode information that standard operating mode output terminal 2 exported to electric power thing networking device 3, operating mode parameter acquisition unit 4's output is connected with industrial computer 1 for carry industrial computer 1 with the operating mode information of gathering, the output of electric power thing networking device 3 is connected to the input that operation execution acquisition unit 6 and data collect the node terminal, is used for gathering electric power thing networking device 3's operation execution data and operating mode detection data, the output that operation execution acquisition unit 6 and data collect the node terminal is connected with industrial computer 1, is used for carrying the operation execution data and the operating mode detection data of gathering industrial computer 1 and judges.
In this embodiment, preferably, the alarm module 7 includes a wireless communication module and an audible and visual alarm.
The working principle and the using process of the invention are as follows: when the device is used, the vibration detection module is a vibration sensor and is used for detecting whether the power internet of things equipment 3 is stable or not; the temperature detection module is a temperature sensor and is used for detecting the working temperature inside the power internet of things equipment 3; the humidity detection module is a humidity sensor and is used for detecting the humidity inside the power internet of things equipment 3; the smoke detection module is a smoke sensor and is used for detecting whether the interior of the power internet of things equipment 3 works safely or not; the current detection module is a current sensor and is used for detecting whether the working current of the power internet of things equipment 3 is stable or not; the voltage detection module is a voltage sensor and is used for detecting whether the working voltage of the power internet of things equipment 3 is stable or not; the aging detection module is a noise sensor and is used for detecting whether an electronic element of the power Internet of things equipment 3 is aged or not, detecting whether electric leakage occurs in the power Internet of things equipment 3 or not through the electric leakage detection module, if the electric leakage occurs, the power failure module is controlled through the industrial personal computer 1 to power off the power Internet of things equipment 3, the power Internet of things equipment 3 is detected through the internal environment detection unit and the real-time working condition detection unit, detection data are sent to the industrial personal computer 1 in real time, and when the detection data are abnormal, an alarm is given; the detection method is used for solving the function detection of the running state information acquisition, data uploading and operation execution of the power Internet of things equipment 3, the system can evaluate the overall performance of the sensing layer of the power Internet of things equipment 3, the detection method can integrally evaluate important function requirements such as sensor performance, sensor network performance and communication protocols, and the detection method is a rapid and effective safety detection method.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (8)

1. A safety detection method for electric power Internet of things equipment is characterized by comprising the following steps: comprises the following specific steps of the following steps,
s1, connecting the power Internet of things equipment (3) to the standard working condition output terminal (2), then starting a sensing layer detection unit of the power Internet of things equipment, inputting rated parameters of the power Internet of things equipment (3), sensing layer functions and operation execution functions in the industrial personal computer (1), wherein the input operation execution functions are operation detection standard values Y1;
s2, working condition types are formulated in the industrial personal computer (1) according to the sensing layer function of the power Internet of things equipment (3), detection is started, and a control instruction is sent to the standard working condition output terminal (2);
s3, the standard working condition output terminal (2) starts a normal working condition output terminal according to a control instruction, a set rated voltage U, a set rated current I, a set rated frequency f and a set rated range phase angle of a normal working condition are output, the power Internet of things equipment (3) senses the working condition through a working condition parameter acquisition unit (4), and data are acquired and uploaded through a sensor;
s4, a working condition parameter acquisition unit (4) and a power Internet of things equipment (3) sensor synchronously acquire output of a standard working condition output terminal (2), the output is transmitted to an industrial personal computer (1) through a data collection node terminal (5), and the industrial personal computer (1) processes and stores the output as a working condition detection standard value Y2;
s5, the operation execution acquisition unit (6) acquires various parameters of the power Internet of things equipment (3) body under normal working conditions, and transmits the parameters to the industrial personal computer (1), and the industrial personal computer (1) processes and stores the parameters as an operation detection measurement value Y3;
s6, simultaneously detecting the internal environment and the real-time working condition of the power Internet of things equipment (3) through the internal environment detection unit and the real-time working condition detection unit, transmitting detection data to the data node aggregation terminal, and uploading the detection data to the industrial personal computer (1) through the data node aggregation terminal;
s7, the industrial personal computer (1) compares the detection value with the standard value, gives a result, judges whether the detection value meets the requirement, compares the detection result with the standard data value prestored in the industrial personal computer (1), judges whether the environment inside the power Internet of things equipment (3) is abnormal or not, and controls the alarm module (7) to give an alarm when the environment inside the power Internet of things equipment (3) is abnormal.
2. The safety detection method for the power Internet of things equipment according to claim 1, characterized in that: the internal environment detection unit comprises a vibration detection module, a temperature detection module, a humidity detection module, a smoke detection module and an aging detection module, the real-time working condition detection unit comprises a current detection module, a voltage detection module and a leakage detection module, and the internal environment detection unit and the real-time working condition detection unit are in communication connection with the industrial personal computer (1).
3. The safety detection method of the power internet of things equipment according to claim 2, characterized in that: the vibration detection module is a vibration sensor, the temperature detection module is a temperature sensor, the humidity detection module is a humidity sensor, the smoke detection module is a smoke sensor, the current detection module is a current sensor, the voltage detection module is a voltage sensor, and the aging detection module is a noise sensor.
4. The safety detection method for the power Internet of things equipment according to claim 1, characterized in that: the standard working condition output terminal (2) comprises a normal working condition output end and an abnormal working condition output end, and the normal working condition output end generates standard working conditions of voltage, current, phase angle and frequency for detecting the accuracy of the sensor and network protocols; the abnormal working condition output end generates a standard power quality abnormal working condition or a standard short-circuit fault working condition and is used for detecting a sensor power quality sensing function, a short-circuit fault sensing function, an edge calculation function and an on-site operation execution function.
5. The safety detection method of the electric power Internet of things equipment according to claim 4, characterized in that: the abnormal working conditions of the electric energy quality comprise voltage deviation, voltage fluctuation and flicker, three-phase voltage unbalance, frequency deviation, harmonic waves and intermittent waves, and the short-circuit fault working conditions comprise single-phase earth faults, interphase short-circuit faults and three-phase short-circuit faults.
6. The safety detection method for the power Internet of things equipment according to claim 1, characterized in that: the output of input industrial computer (1) of standard operating mode output terminal (2) is connected and is used for receiving the control command that industrial computer (1) sent, the output of standard operating mode output terminal (2) is connected with the input of electric power thing networking device (3), and standard operating mode output terminal (2) exports the operating mode to electric power thing networking device (3) according to the control command that industrial computer (1) sent.
7. The safety detection method for the power Internet of things equipment according to claim 1, characterized in that: the output of standard operating mode output terminal (2) is connected to the input of operating mode parameter acquisition unit (4), gathers the operating mode information that standard operating mode output terminal (2) exported power thing networking device (3), the output and industrial computer (1) of operating mode parameter acquisition unit (4) are connected for carry industrial computer (1) with the operating mode information of gathering, the output of power thing networking device (3) is connected to the input of operation execution acquisition unit (6) and data collection node terminal, is used for gathering the operation execution data and the operating mode detection data of power thing networking device (3), the output and industrial computer (1) of operation execution acquisition unit (6) and data collection node terminal are connected for carry the operation execution data and the operating mode detection data of gathering to industrial computer (1) and judge.
8. The safety detection method for the power Internet of things equipment according to claim 1, characterized in that: the alarm module (7) comprises a wireless communication module and an audible and visual alarm.
CN202010912796.3A 2020-09-03 2020-09-03 Safety detection method for power Internet of things equipment Pending CN112104717A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010912796.3A CN112104717A (en) 2020-09-03 2020-09-03 Safety detection method for power Internet of things equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010912796.3A CN112104717A (en) 2020-09-03 2020-09-03 Safety detection method for power Internet of things equipment

Publications (1)

Publication Number Publication Date
CN112104717A true CN112104717A (en) 2020-12-18

Family

ID=73757148

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010912796.3A Pending CN112104717A (en) 2020-09-03 2020-09-03 Safety detection method for power Internet of things equipment

Country Status (1)

Country Link
CN (1) CN112104717A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113420290A (en) * 2021-06-25 2021-09-21 深圳得讯信息技术有限公司 Security detection method and system for power Internet of things equipment
CN116169793A (en) * 2023-04-25 2023-05-26 国网山东省电力公司胶州市供电公司 Supervision and prediction system for power equipment
CN116660672A (en) * 2023-08-02 2023-08-29 国网四川省电力公司乐山供电公司 Power grid equipment fault diagnosis method and system based on big data

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110138870A (en) * 2019-05-21 2019-08-16 国网湖北省电力有限公司电力科学研究院 A kind of the sensing layer detection system and its detection method of ubiquitous electric power Internet of Things power equipment
CN110906971A (en) * 2019-10-17 2020-03-24 姚国辉 Centralized detection method for power cabinet based on Internet of things
CN111007449A (en) * 2019-11-20 2020-04-14 北京中电飞华通信股份有限公司 Electric power thing networking perception system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110138870A (en) * 2019-05-21 2019-08-16 国网湖北省电力有限公司电力科学研究院 A kind of the sensing layer detection system and its detection method of ubiquitous electric power Internet of Things power equipment
CN110906971A (en) * 2019-10-17 2020-03-24 姚国辉 Centralized detection method for power cabinet based on Internet of things
CN111007449A (en) * 2019-11-20 2020-04-14 北京中电飞华通信股份有限公司 Electric power thing networking perception system

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113420290A (en) * 2021-06-25 2021-09-21 深圳得讯信息技术有限公司 Security detection method and system for power Internet of things equipment
CN116169793A (en) * 2023-04-25 2023-05-26 国网山东省电力公司胶州市供电公司 Supervision and prediction system for power equipment
CN116169793B (en) * 2023-04-25 2023-08-11 国网山东省电力公司胶州市供电公司 Supervision and prediction system for power equipment
CN116660672A (en) * 2023-08-02 2023-08-29 国网四川省电力公司乐山供电公司 Power grid equipment fault diagnosis method and system based on big data
CN116660672B (en) * 2023-08-02 2023-10-10 国网四川省电力公司乐山供电公司 Power grid equipment fault diagnosis method and system based on big data

Similar Documents

Publication Publication Date Title
CN112104717A (en) Safety detection method for power Internet of things equipment
CN103440727A (en) Electrical fire prewarning method and system
CN110470939A (en) The monitoring power distribution cabinet and line fault judgment method of a kind of automatic detection and alarm
CN103376387A (en) Transmission grid fault detection system and method based on internet of thing technology
CN203241076U (en) Distributed online ring main unit monitoring device
CN205920158U (en) DC power supply AC ripple monitoring devices
CN103673865A (en) Deformation motoring device of power transformer winding
CN105548799A (en) Method for online monitoring on generator rotor winding inter-turn short circuit faults
CN108459295A (en) CVT on-line monitoring systems and method based on distributed data acquisition processing
CN110365534B (en) Automatic chopping and recovery method for intelligent substation communication system
CN112816909A (en) Method and device for monitoring leakage current of solar photovoltaic inverter
CN107357173A (en) A kind of home appliance monitor system based on cloud control
CN106324546A (en) Electronic transformer state acquisition device
CN110687493A (en) Current transformer on-line measuring system based on multiple signal acquisition
CN211121602U (en) Three-phase capacitor voltage transformer state monitoring system
CN206003260U (en) A kind of intelligent security guard early warning system
CN117907723A (en) Intelligent detection and visualization system and method for charging pile power box
CN111555461A (en) Intelligent diagnosis system and judgment method for safety and health degree of photovoltaic power station
CN201935981U (en) Fault detector for electric distribution network
CN110879338A (en) High-voltage power equipment insulation detection system based on inductive power supply and detection method thereof
CN111007449A (en) Electric power thing networking perception system
CN110596519A (en) Direct current system ground fault detection system based on Fourier transform and detection method thereof
CN202013399U (en) Power transmission line fault ranging plug-in with arc light short circuit identification considered
CN107076639A (en) Monitor the torsional oscillation in turbogenerator
CN211481002U (en) Monitoring terminal for low-voltage metering box

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
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20201218