CN114778959A - Intelligent lightning protection real-time online monitoring system - Google Patents

Intelligent lightning protection real-time online monitoring system Download PDF

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Publication number
CN114778959A
CN114778959A CN202210403630.8A CN202210403630A CN114778959A CN 114778959 A CN114778959 A CN 114778959A CN 202210403630 A CN202210403630 A CN 202210403630A CN 114778959 A CN114778959 A CN 114778959A
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lightning
lightning protection
information
protection device
module
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曹建春
蒋伟军
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Changsha Leilixing Electronic Science & Technology Co ltd
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Changsha Leilixing Electronic Science & Technology Co ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R29/00Arrangements for measuring or indicating electric quantities not covered by groups G01R19/00 - G01R27/00
    • G01R29/08Measuring electromagnetic field characteristics
    • G01R29/0807Measuring electromagnetic field characteristics characterised by the application
    • G01R29/0814Field measurements related to measuring influence on or from apparatus, components or humans, e.g. in ESD, EMI, EMC, EMP testing, measuring radiation leakage; detecting presence of micro- or radiowave emitters; dosimetry; testing shielding; measurements related to lightning
    • G01R29/0842Measurements related to lightning, e.g. measuring electric disturbances, warning systems
    • 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
    • G01R29/00Arrangements for measuring or indicating electric quantities not covered by groups G01R19/00 - G01R27/00

Abstract

The invention discloses an intelligent lightning protection real-time online monitoring system, and relates to the technical field of lightning protection. The lightning monitoring equipment group acquires lightning protection working information of the lightning protector and sends the lightning protection working information to the cloud service platform; the cloud service platform records the lightning protection working information and predicts the state of the lightning protection device according to the lightning protection working information; the lightning prediction equipment set monitors meteorological electric field information in the air near the protected equipment, predicts the damage degree of the protected equipment caused by lightning stroke according to the meteorological electric field information, and sends the damage degree as early warning information to the cloud service platform; and the cloud service platform controls the lightning protection device to work according to the early warning information and carries out early warning. Can detect the lightning protection device in real time through above-mentioned system, according to the state of lightning protection device of lightning protection work information prediction to the prediction receives the harm degree of thunderbolt by protective apparatus, practices thrift manpower and materials and improves detection efficiency and prevention effect.

Description

Intelligent lightning protection real-time online monitoring system
Technical Field
The invention relates to the technical field of lightning protection, in particular to an intelligent lightning protection real-time online monitoring system.
Background
Modern society lightning protection devices have been used in large numbers in many systems such as power, communication, monitoring, automation, etc. to protect these systems from lightning strikes. However, the lightning protection device protects the back-end equipment by discharging surge and limiting voltage, so that the number of times of surge current impact resistance of core components is limited, and the core components are easy to be directly broken down or gradually deteriorated to finally cause damage. When the lightning protection device is damaged, transient large current passes through the inside of the element, the product generates high heat, and at the moment, if the front-end separation device fails to disconnect the lightning protection device from the system in time, the risk of fire hazard is caused. However, the lightning protection device is disconnected from the system, so that the system loses the lightning protection function, and is very easy to be damaged due to lightning invasion.
Traditional lightning protection device inspection survey is more than once every year usually, and personnel need carry equipment to the scene and detect the lightning protection product, not only detection cycle length to can consume a large amount of manpower and materials detection effect poor.
Disclosure of Invention
The invention aims to solve the problems of the background technology and provides an intelligent lightning protection real-time online monitoring system.
The purpose of the invention can be realized by the following technical scheme:
the embodiment of the invention provides an intelligent lightning protection real-time online monitoring system, which comprises a lightning protection device, a lightning monitoring equipment group, a lightning prediction equipment group and a cloud service platform, wherein the lightning protection device comprises a lightning protection device, a lightning prediction equipment group and a cloud service platform;
wherein:
the lightning monitoring equipment group is used for acquiring lightning protection working information of the lightning protection device and sending the lightning protection working information to the cloud service platform;
the cloud service platform is used for recording the lightning protection working information and predicting the state of the lightning protection device according to the lightning protection working information;
the lightning prediction equipment group is used for monitoring meteorological electric field information in the air near the protected equipment, predicting the damage degree of the protected equipment caused by lightning according to the meteorological electric field information, and sending the damage degree as early warning information to the cloud service platform;
and the cloud service platform is also used for controlling the lightning protection device to work according to the early warning information and carrying out early warning.
Optionally, the lightning monitoring device group includes a lightning monitoring device, an SPD monitoring device, a ground monitoring device, an environment monitoring module, and a first communication module; the lightning protection working information comprises lightning current waveform information, SPD working information, grounding information and environment information;
wherein:
the lightning monitoring device is used for acquiring a lightning analog differential signal when the lightning protector works and carrying out waveform reduction on the analog differential signal to obtain lightning current waveform information;
the SPD monitoring device is used for acquiring the lightning stroke discharging times of the SPD of the lightning protector, and working data, backup circuit breaker data and working environment data of the SPD as the working information of the SPD;
the grounding monitoring device is used for acquiring the connection information of a grounding down lead of the lightning protector, the circuit grounding resistance and the metal circuit connection information as the grounding information;
the environment monitoring module is used for collecting leakage current data, power frequency current, voltage, Rogowski coil data, integrator data, temperature and zero sequence current of the lightning protector as the environment information;
the first communication module is used for carrying out data communication with the cloud service platform.
Optionally, the lightning current waveform information includes a waveform, polarity, peak value, charge amount, specific energy, time and number of lightning currents or a polarity, peak value, energy, time and number of intrusion surges on the line.
Optionally, the cloud service platform includes a data statistics module, a data processing module, and an alarm module; the lightning protection working information comprises a target equipment identifier of the lightning protector;
the data statistics module is used for counting and recording the lightning protection working information of the lightning protection device according to the target equipment identifier;
the data processing module is used for judging the state of the lightning protection device according to the lightning protection working information and predicting the service life of the lightning protection device;
the alarm module is used for alarming when the data processing module judges that the state of the lightning protection device is abnormal;
and the alarm module is also used for giving an alarm when the data processing module predicts that the service life of the lightning protection device is less than a preset time value.
Optionally, the predicting, by the data processing module, the service life of the lightning arrester specifically includes:
Figure BDA0003600962060000031
wherein C is rated lightning leakage frequency of the lightning protector, C1Number of lightning strikes discharged for SPD of the lightning protection device, C2Number of intrusion surges to the lightning protection device, I1iIs the ith lightning current peak, I2iIs the ith invasion surge peak value, I is the rated lightning current of the lightning protector, sgn [ x [ ]]And T is the rated working time of the lightning protection device, T is the actual working time of the lightning protection device, and alpha and beta are preset exponential parameters.
Optionally, the lightning prediction device set includes an atmospheric electric field instrument, a lightning stroke prediction module, and a second communication module;
the atmospheric electric field instrument is used for acquiring electric field data in the atmosphere according to a preset period duration;
the lightning stroke prediction module is used for predicting the probability of the lightning phenomenon in the next preset period time according to the electric field data acquired by the current preset period time, calculating the lightning intensity according to the electric field intensity value, and predicting the damage degree of the protected equipment caused by the lightning stroke according to the probability of the lightning phenomenon and the lightning intensity;
the second communication module is used for carrying out data communication with the cloud service platform.
Optionally, the lightning stroke prediction module includes a calculation sub-module, a prediction sub-module and an evaluation sub-module; the electric field data is the change of electric charge in the air within a preset period time;
the calculation submodule is used for calculating the electric field intensity in the current air according to the charge change to obtain atmospheric electric field time sequence data in the current period;
the prediction submodule is used for inputting the atmospheric electric field time sequence data into a pre-trained BP neural network to obtain the probability of lightning phenomenon in the next preset period duration, and calculating the lightning intensity according to the electric field intensity value;
and the evaluation submodule is used for predicting the damage degree of the protected equipment from the lightning stroke according to the probability of the lightning phenomenon and the lightning intensity.
The intelligent lightning protection real-time online monitoring system provided by the embodiment of the invention comprises a lightning protector, a lightning monitoring equipment group, a lightning predicting equipment group and a cloud service platform, wherein the lightning protector is arranged on the lightning protector; wherein: the lightning monitoring equipment group is used for acquiring lightning protection working information of the lightning protection device and sending the lightning protection working information to the cloud service platform; the cloud service platform is used for recording the lightning protection working information and predicting the state of the lightning protection device according to the lightning protection working information; the lightning prediction equipment group is used for monitoring meteorological electric field information in the air near the protected equipment, predicting the damage degree of the protected equipment caused by lightning stroke according to the meteorological electric field information, and sending the predicted damage degree as early warning information to the cloud service platform; and the cloud service platform is also used for controlling the lightning protection device to work according to the early warning information and carrying out early warning. Can detect the lightning protection device in real time through above-mentioned system, predict the state of lightning protection device according to lightning protection work information to the harm degree that the prediction was received the thunderbolt by protective apparatus, practice thrift manpower and materials, improve detection efficiency and prevention effect.
Drawings
The invention will be further described with reference to the accompanying drawings.
Fig. 1 is a system block diagram of an intelligent lightning protection real-time online monitoring system according to an embodiment of the present invention.
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.
The embodiment of the invention provides an intelligent lightning protection real-time online monitoring system. Referring to fig. 1, fig. 1 is a system block diagram of an intelligent lightning protection real-time online monitoring system provided in an embodiment of the present invention, including a lightning protection device, a lightning monitoring device group, a lightning prediction device group, and a cloud service platform;
wherein:
the lightning monitoring equipment group is used for acquiring lightning protection working information of the lightning protector and sending the lightning protection working information to the cloud service platform;
the cloud service platform is used for recording the lightning protection working information and predicting the state of the lightning protection device according to the lightning protection working information;
the lightning prediction equipment group is used for monitoring meteorological electric field information in the air near the protected equipment, predicting the damage degree of the protected equipment caused by lightning stroke according to the meteorological electric field information, and sending the predicted damage degree as early warning information to the cloud service platform;
and the cloud service platform is also used for controlling the lightning protection device to work according to the early warning information and carrying out early warning.
The intelligent lightning protection real-time online monitoring system provided by the embodiment of the invention can detect the lightning protection device in real time, predict the state of the lightning protection device according to the lightning protection work information, predict the damage degree of the protected equipment caused by lightning stroke, save manpower and material resources and improve the detection efficiency and the prevention effect.
In one implementation, the protected device may be a core device in a power, communication, monitoring, automation, etc. system. The lightning protector may be deployed on a protected device to protect the protected device from a lightning strike.
In one implementation, the lightning prediction equipment set can monitor the meteorological electric field information in the preset range, and can perform early warning on all protected equipment and lightning protection devices in the preset range.
In one embodiment, the set of lightning monitoring devices includes a lightning monitoring device, an SPD monitoring device, a ground monitoring device, an environmental monitoring module, and a first communication module; the lightning protection working information comprises lightning current waveform information, SPD working information, grounding information and environment information;
wherein:
the lightning monitoring device is used for acquiring analog differential signals of lightning when the lightning protector works and carrying out waveform reduction on the analog differential signals to obtain lightning current waveform information;
the SPD monitoring device is used for acquiring the lightning stroke discharge frequency of the SPD of the lightning protector, and working data, backup circuit breaker data and working environment data of the SPD as SPD working information;
the grounding monitoring device is used for acquiring the connection information of a grounding downlead of the lightning protector, the circuit grounding resistance and the metal circuit connection information as grounding information;
the environment monitoring module is used for acquiring leakage current data, power frequency current, voltage, Rogowski coil data, integrator data, temperature and zero sequence current of the lightning protector as environment information;
the first communication module is used for carrying out data communication with the cloud service platform.
In one embodiment, the lightning current waveform information includes a waveform, polarity, peak value, charge amount, specific energy, time and number of lightning currents or a polarity, peak value, energy, time and number of intrusion surges on the line.
In one implementation, the service life of the lightning protection device can be predicted according to the lightning current waveform information.
In one embodiment, the cloud service platform comprises a data statistics module, a data processing module and an alarm module; the lightning protection working information comprises a target equipment identifier of the lightning protector;
the data statistics module is used for counting and recording the lightning protection working information of the lightning protection device according to the target equipment identifier;
the data processing module is used for judging the state of the lightning protection device according to the lightning protection working information and predicting the service life of the lightning protection device;
the alarm module is used for alarming when the data processing module judges that the state of the lightning protection device is abnormal;
and the alarm module is also used for giving an alarm when the data processing module predicts that the service life of the lightning protection device is less than a preset time value.
In one implementation mode, the cloud service platform can generate a working chart of the lightning protection device according to the lightning protection working information of the lightning protection device recorded by the data statistics module, visually display the working life cycle of the lightning protection device, and facilitate data statistics and analysis.
In one implementation, the state of the lightning protection device is determined based on SPD operational information, grounding information, and environmental information.
In one embodiment, the predicting of the service life of the lightning protection device by the data processing module specifically includes:
Figure BDA0003600962060000071
wherein C is rated lightning leakage frequency of the lightning protector, C1Number of lightning strikes discharged for SPD of lightning protection device, C2Number of intrusion surges for lightning protection devices, I1iIs the ith lightning current peak value, I2iThe ith invasion surge peak value, I is the rated leakage current of the lightning protector, sgn [ x ]]The method is characterized in that the method is a symbolic function, T is rated working time of the lightning protection device, T is actual working time of the lightning protection device, and alpha and beta are preset exponential parameters.
Wherein, the first and the second end of the pipe are connected with each other,
Figure BDA0003600962060000072
in one implementation, when the ith lightning current peak is too large, and I1iThe ratio of the current to the current I is larger than 0.7 time, the damage effect of the lightning protection device by the lightning current is enlarged, the enlarging effect of the lightning stroke at this time can be compensated, and the predicted service life of the lightning protection device is shortened.
In one implementation mode, the rated lightning leakage frequency, the rated lightning leakage current and the rated working time of the lightning protector can be obtained according to the type of the lightning protector.
In one embodiment, the set of lightning prediction devices comprises an atmospheric electric field instrument, a lightning strike prediction module and a second communication module;
the atmospheric electric field instrument is used for acquiring electric field data in the atmosphere according to preset cycle duration;
the lightning stroke prediction module is used for predicting the probability of the lightning phenomenon in the next preset period time according to the electric field data acquired by the current preset period time, calculating the lightning intensity according to the electric field intensity value, and predicting the damage degree of the protected equipment caused by the lightning stroke according to the probability of the lightning phenomenon and the lightning intensity;
and the second communication module is used for carrying out data communication with the cloud service platform.
In one implementation, the lightning detection of the atmospheric electric field instrument can utilize radio frequency technology, electric field detection technology and radio frequency sensors to detect meteorological conditions and lightning signals and calculate the lightning area range. The electric field in the atmosphere can be measured by an antenna (metal ball or wire) perpendicular to the electric field and parallel to the ground.
In one embodiment, the lightning strike prediction module includes an acquisition sub-module, a calculation sub-module, a prediction sub-module, and an evaluation sub-module; the electric field data is the change of electric charge in the air within a preset period time;
the calculation submodule is used for calculating the electric field intensity in the current air according to the charge change to obtain the atmospheric electric field time sequence data in the current period;
the prediction submodule is used for inputting atmospheric electric field time sequence data into a pre-trained BP neural network to obtain the probability of lightning phenomenon in the next preset period duration, and calculating the lightning intensity according to the electric field intensity value;
and the evaluation submodule is used for predicting the damage degree of the protected equipment caused by the lightning stroke according to the probability of the lightning phenomenon and the lightning intensity.
In one implementation, lightning formation is the process of accumulation of electrical charge, and the probability of a lightning event can be predicted by monitoring the change in the electrical field in the atmosphere.
In one implementation, the charge change q (t) is a function of the change in charge of the test points over time. The potential between the test point and the preset reference point can be calculated by the following formula (3):
Figure BDA0003600962060000081
wherein H is the distance between thundercloud and the ground, epsilon is the dielectric constant, and L1I (t) the current generated by the change of charge with time, which is the distance between the test point and the preset reference point. Equivalent capacitance C:
C=C0+C1 (4)
wherein, C0Equivalent capacitance, C, of the atmospheric electric field instrument circuit1Is the capacitance between the antenna of the atmospheric electric field instrument and the land,
Figure BDA0003600962060000091
wherein r is the radius of the antenna of the atmospheric electric field instrument, and L is the length of the antenna of the atmospheric electric field instrument.
In one implementation, the lightning intensity of the thundercloud can be calculated according to the potential E:
Figure BDA0003600962060000092
wherein tau is a time constant, tau0As a standard value of time constant, EmaxThe maximum potential E in each period.
Although one embodiment of the present invention has been described in detail, the description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be taken as limiting the scope of the invention. All equivalent changes and modifications made within the scope of the present invention shall fall within the scope of the present invention.

Claims (7)

1. An intelligent lightning protection real-time online monitoring system comprises a lightning protection device, and is characterized by further comprising a lightning monitoring equipment group, a lightning prediction equipment group and a cloud service platform;
wherein:
the lightning monitoring equipment group is used for acquiring lightning protection working information of the lightning protection device and sending the lightning protection working information to the cloud service platform;
the cloud service platform is used for recording the lightning protection working information and predicting the state of the lightning protection device according to the lightning protection working information;
the lightning prediction equipment group is used for monitoring meteorological electric field information in the air near the protected equipment, predicting the damage degree of the protected equipment caused by lightning stroke according to the meteorological electric field information, and sending the predicted damage degree as early warning information to the cloud service platform;
and the cloud service platform is also used for controlling the lightning protection device to work according to the early warning information and carrying out early warning.
2. The intelligent lightning protection real-time online monitoring system according to claim 1, wherein the lightning monitoring equipment set comprises a lightning monitoring device, an SPD monitoring device, a grounding monitoring device, an environment monitoring module and a first communication module; the lightning protection working information comprises lightning current waveform information, SPD working information, grounding information and environment information;
wherein:
the lightning monitoring device is used for acquiring a lightning simulation differential signal when the lightning arrester works and carrying out waveform reduction on the simulation differential signal to obtain lightning current waveform information;
the SPD monitoring device is used for acquiring the lightning stroke discharging times of the SPD of the lightning protector, and working data, backup circuit breaker data and working environment data of the SPD as the working information of the SPD;
the grounding monitoring device is used for acquiring the connection information of a grounding down lead of the lightning protector, the circuit grounding resistance and the metal circuit connection information as the grounding information;
the environment monitoring module is used for collecting leakage current data, power frequency current, voltage, Rogowski coil data, integrator data, temperature and zero sequence current of the lightning protector as the environment information;
the first communication module is used for carrying out data communication with the cloud service platform.
3. The system according to claim 2, wherein the lightning current waveform information includes waveform, polarity, peak value, charge amount, specific energy, time and frequency of lightning current or polarity, peak value, energy, time and frequency of invasion surge on line.
4. The intelligent lightning protection real-time online monitoring system according to claim 3, wherein the cloud service platform comprises a data statistics module, a data processing module and an alarm module; the lightning protection working information comprises a target equipment identifier of the lightning protector;
the data statistics module is used for counting and recording the lightning protection working information of the lightning protection device according to the target equipment identifier;
the data processing module is used for judging the state of the lightning protection device according to the lightning protection working information and predicting the service life of the lightning protection device;
the alarm module is used for alarming when the data processing module judges that the state of the lightning protection device is abnormal;
and the alarm module is also used for giving an alarm when the data processing module predicts that the service life of the lightning protection device is less than a preset time value.
5. The intelligent lightning protection real-time online monitoring system according to claim 4, wherein the data processing module predicts the service life of the lightning protection device specifically as follows:
Figure FDA0003600962050000021
wherein C is rated lightning leakage frequency of the lightning protector, C1Number of lightning strikes discharged for SPD of the lightning protection device, C2Number of intrusion surges to the lightning protection device, I1iIs the ith lightning current peak value, I2iIs the ith invasion surge peak value, I is the rated lightning current of the lightning protector, sgn [ x [ ]]And T is the rated working time of the lightning protection device, T is the actual working time of the lightning protection device, and alpha and beta are preset exponential parameters.
6. The intelligent lightning protection real-time online monitoring system according to claim 1, wherein the lightning prediction equipment set comprises an atmospheric electric field instrument, a lightning stroke prediction module and a second communication module;
the atmospheric electric field instrument is used for acquiring electric field data in the atmosphere according to a preset period duration;
the lightning stroke prediction module is used for predicting the probability of lightning phenomena in the next preset period time according to electric field data acquired according to the current preset period time, calculating lightning intensity according to the electric field intensity value and predicting the damage degree of the protected equipment caused by lightning strokes according to the probability of the lightning phenomena and the lightning intensity;
the second communication module is used for carrying out data communication with the cloud service platform.
7. The intelligent lightning protection real-time online monitoring system according to claim 6, wherein the lightning stroke prediction module comprises a calculation sub-module, a prediction sub-module and an evaluation sub-module; the electric field data is the change of electric charge in the air within a preset period time;
the calculation submodule is used for calculating the electric field intensity in the current air according to the charge change to obtain atmospheric electric field time sequence data in the current period;
the prediction submodule is used for inputting the atmospheric electric field time sequence data into a pre-trained BP neural network to obtain the probability of lightning phenomenon in the next preset period duration, and calculating the lightning intensity according to the electric field intensity value;
and the evaluation submodule is used for predicting the damage degree of the protected equipment caused by the lightning stroke according to the probability of the lightning phenomenon and the lightning intensity.
CN202210403630.8A 2022-04-18 2022-04-18 Intelligent lightning protection real-time online monitoring system Pending CN114778959A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115754828A (en) * 2022-12-09 2023-03-07 广州力赛计量检测有限公司 Lightning protection grounding device detection system and method for machine room
CN115982243A (en) * 2023-02-08 2023-04-18 南京信息工程大学 Self-adaptive lightning protection method and system based on meteorological monitoring

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115754828A (en) * 2022-12-09 2023-03-07 广州力赛计量检测有限公司 Lightning protection grounding device detection system and method for machine room
CN115754828B (en) * 2022-12-09 2023-08-04 广州力赛计量检测有限公司 Lightning protection grounding device detection system and method for machine room
CN115982243A (en) * 2023-02-08 2023-04-18 南京信息工程大学 Self-adaptive lightning protection method and system based on meteorological monitoring

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