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

Abstract

The invention discloses an intelligent lightning protection real-time online monitoring system, which relates to the technical field of lightning protection. The system includes a lightning protection device, a lightning monitoring equipment group, a lightning prediction equipment group and a cloud service platform. The lightning monitoring equipment group collects the lightning protection work information of the lightning protection device, and sends the lightning protection work information to the cloud service platform; the cloud service platform records the lightning protection work information, and predicts the state of the lightning protection device according to the lightning protection work information; lightning prediction The equipment group monitors the meteorological electric field information in the air near the protected equipment, and predicts the degree of damage caused by lightning strikes to the protected equipment according to the meteorological electric field information, and sends it to the cloud service platform as early warning information; the cloud service platform controls the lightning protection device according to the early warning information. , and give an early warning. Through the above system, the lightning protection device can be detected in real time, the state of the lightning protection device can be predicted according to the lightning protection work information, and the damage degree of the protected equipment by lightning strikes can be predicted, which saves manpower and material resources and improves the detection efficiency and prevention effect.

Description

An 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 technique

In modern society, lightning arresters have been used in large quantities in many systems such as power, communication, monitoring, automation, etc., in order to protect these systems from lightning strikes. However, the surge arrester protects the back-end equipment by discharging surges and limiting the voltage, so the core components can withstand the surge current for a limited number of times, and it is easy to directly break down or gradually deteriorate and eventually lead to damage. When damaged, a large transient current will flow inside the component, and the product will generate high heat. At this time, if the front-end disconnection device fails to disconnect the lightning arrester from the system in time, there is a risk of fire. However, when the lightning arrester is disconnected from the system, the system loses the lightning protection function, and is easily damaged by lightning intrusion.

The inspection and inspection of traditional lightning protection devices is usually more than once a year. Personnel need to carry equipment to the site to test lightning protection products, which not only has a long detection cycle, but also consumes a lot of manpower and material resources, and the detection effect is poor.

SUMMARY OF THE INVENTION

The purpose of the present invention is to solve the above-mentioned problems of the background technology, and to propose an intelligent lightning protection real-time online monitoring system.

The object of the present invention can be realized through the following technical solutions:

The embodiment of the present invention provides an intelligent lightning protection real-time online monitoring system, including a lightning protection device, a lightning monitoring equipment group, a lightning prediction equipment group and a cloud service platform;

in:

The lightning monitoring equipment group is used to collect the lightning protection work information of the lightning protection device, and send the lightning protection work information to the cloud service platform;

The cloud service platform is used to record the lightning protection work information, and predict the state of the lightning protection device according to the lightning protection work information;

The lightning prediction equipment group is used to monitor the meteorological electric field information in the air near the protected equipment, and predict the damage degree of the protected equipment from lightning strikes according to the meteorological electric field information, and send it to the cloud service as early warning information platform;

The cloud service platform is further configured to control the operation of the lightning arrester according to the early warning information, and perform early warning.

Optionally, the lightning monitoring equipment group includes a lightning monitoring device, an SPD monitoring device, a grounding monitoring device, an environmental monitoring module and a first communication module; the lightning protection work information includes lightning current waveform information, SPD work information, and grounding information. and environmental information;

in:

The lightning monitoring device is used for collecting the analog differential signal of lightning when the lightning arrester is working, and performing waveform restoration on the analog differential signal to obtain the lightning current waveform information;

The SPD monitoring device is used to collect the SPD discharge lightning strike times of the lightning arrester, as well as the working data of the SPD, the data of the backup circuit breaker and the working environment data, as the working information of the SPD;

The grounding monitoring device is used to collect the connection information of the grounding down-conductor, the loop grounding resistance and the metal loop connection information of the lightning arrester as the grounding information;

The environmental monitoring module is used to collect leakage current data, power frequency current, voltage, Rogowski coil data, integrator data, temperature and zero sequence current of the lightning arrester as the environmental information;

The first communication module is used for data communication with the cloud service platform.

Optionally, the lightning current waveform information includes the waveform, polarity, peak value, charge amount, specific energy, time and number of lightning current or 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 work information includes the target device identifier of the lightning protection device;

The data statistics module is configured to count and record the lightning protection work information of the lightning protection device according to the target device identification;

The data processing module is used for judging the state of the lightning protection device according to the lightning protection work information, and predicting the service life of the lightning protection device;

The alarm module is configured to issue an alarm when the data processing module judges that the state of the lightning arrester is abnormal;

The alarm module is further configured to issue an alarm when the data processing module predicts that the service life of the lightning arrester is less than a preset time value.

Optionally, the data processing module predicts that the service life of the lightning arrester is specifically:

Wherein, C is the rated lightning discharge times of the lightning protection device, C ₁ is the SPD discharge lightning strike times of the lightning protection device, C ₂ is the intrusion surge times of the lightning protection device, and I _1i is the ith time The peak value of lightning current, I _2i is the peak value of the i-th intrusion surge, I is the rated lightning discharge current of the arrester, sgn[x] is the sign function, T is the rated working time of the arrester, and t is the The actual working time of the lightning arrester, α and β are preset index parameters.

Optionally, the lightning prediction equipment group includes an atmospheric electric field meter, a lightning strike prediction module and a second communication module;

The atmospheric electric field meter is used to collect electric field data in the atmosphere according to a preset period;

The lightning strike prediction module is used to predict the probability of a lightning phenomenon occurring in the next preset period according to the electric field data collected by the current preset period, and calculate the lightning strength according to the electric field strength value, and calculate the lightning strength according to the probability of the lightning phenomenon and the lightning strength. Predict the degree of damage to the protected equipment from lightning strikes;

The second communication module is used for data communication with the cloud service platform.

Optionally, the lightning strike prediction module includes a calculation sub-module, a prediction sub-module and an evaluation sub-module; the electric field data is the charge change in the air within a preset period;

The calculation submodule is used to calculate the electric field intensity in the current air according to the charge change, and obtain the atmospheric electric field time series data in the current cycle;

The prediction sub-module is used to input the atmospheric electric field time series data into the pre-trained BP neural network, obtain the probability of lightning phenomenon occurring in the next preset period, and calculate the lightning intensity according to the electric field intensity value;

The evaluation sub-module is used for predicting the damage degree of the protected equipment from lightning strikes according to the probability of the lightning phenomenon and the lightning intensity.

An intelligent lightning protection real-time online monitoring system provided by an embodiment of the present invention includes a lightning protection device, and also includes a lightning monitoring equipment group, a lightning prediction equipment group and a cloud service platform; wherein: the lightning monitoring equipment group is used for collecting lightning protection The lightning protection work information of the lightning protection device is sent to the cloud service platform; the cloud service platform is used to record the lightning protection work information and predict the status of the lightning protection device according to the lightning protection work information; It is used to monitor the meteorological electric field information in the air near the protected equipment, and predict the damage degree of the protected equipment from lightning strikes according to the meteorological electric field information, and send it to the cloud service platform as early warning information; the cloud service platform is also used to control the prevention according to the warning information. The mines work and give an early warning. Through the above system, the lightning protection device can be detected in real time, the state of the lightning protection device can be predicted according to the lightning protection work information, and the damage degree of the protected equipment by lightning strikes can be predicted, which saves manpower and material resources, and improves the detection efficiency and prevention effect.

Description of drawings

The present invention will be further described below in conjunction with the accompanying drawings.

FIG. 1 is a system block diagram of an intelligent lightning protection real-time online monitoring system provided by an embodiment of the present invention.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

The embodiment of the present 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 by an embodiment of the present invention, including a lightning protection device, a lightning monitoring equipment group, a lightning prediction equipment group, and a cloud service platform;

in:

The lightning monitoring equipment group is used to collect the lightning protection work information of the lightning arrester, and send the lightning protection work information to the cloud service platform;

The cloud service platform is used to record the lightning protection work information and predict the status of the lightning protection device according to the lightning protection work information;

The lightning prediction equipment group is used to monitor the meteorological electric field information in the air near the protected equipment, and predict the damage degree of the protected equipment from lightning strikes according to the meteorological electric field information, and send it to the cloud service platform as early warning information;

The cloud service platform is also used to control the work of the lightning arrester according to the early warning information, and to carry out early warning.

Based on an intelligent lightning protection real-time online monitoring system provided by the embodiment of the present invention, the lightning protection device can be detected in real time, the state of the lightning protection device can be predicted according to the lightning protection work information, and the damage degree of the protected equipment by the lightning strike can be predicted, saving energy Manpower and material resources improve detection efficiency and prevention effect.

In an implementation manner, the protected device may be a core device in systems such as power, communication, monitoring, and automation. Lightning arresters can be deployed on the protected equipment to protect the protected equipment from lightning strikes.

In an implementation manner, the lightning prediction equipment group can monitor meteorological electric field information within a preset range, and can give early warning to all protected equipment and lightning arresters within the preset range.

In one embodiment, the lightning monitoring equipment group includes a lightning monitoring device, an SPD monitoring device, a grounding monitoring device, an environmental monitoring module, and a first communication module; the lightning protection work information includes lightning current waveform information, SPD work information, grounding information and environment information;

in:

The lightning monitoring device is used to collect the analog differential signal of lightning when the lightning arrester is working, and restore the waveform of the analog differential signal to obtain the lightning current waveform information;

The SPD monitoring device is used to collect the number of SPD discharge lightning strikes of the lightning arrester, as well as the working data of the SPD, the data of the backup circuit breaker and the working environment data, as the working information of the SPD;

The grounding monitoring device is used to collect the connection information of the grounding down-conductor, the loop grounding resistance and the metal loop connection information of the lightning arrester as the grounding information;

The environmental monitoring module is used to collect the leakage current data, power frequency current, voltage, Rogowski coil data, integrator data, temperature and zero-sequence current of the arrester as environmental information;

The first communication module is used for data communication with the cloud service platform.

In one embodiment, the lightning current waveform information includes the lightning current waveform, polarity, peak value, charge amount, specific energy, time and number of times or polarity, peak value, energy, time and number of intrusion surges on the line.

In an implementation manner, the service life of the lightning arrester can be predicted according to the lightning current waveform information.

In one embodiment, the cloud service platform includes a data statistics module, a data processing module and an alarm module; the lightning protection work information includes the target device identifier of the lightning protection device;

The data statistics module is used to count and record the lightning protection work information of the lightning protection device according to the target device identification;

The data processing module is used to judge the status of the lightning protection device and predict the service life of the lightning protection device according to the lightning protection work information;

The alarm module is used to alarm when the data processing module judges that the state of the lightning arrester is abnormal;

The alarm module is also used for alarming when the data processing module predicts that the service life of the lightning arrester is less than the preset time value.

In an implementation manner, the cloud service platform can generate a working chart of the lightning protection device according to the lightning protection work information of the lightning protection device recorded by the data statistics module, so as to visually display the working life cycle of the lightning protection device, which is convenient for data statistics and analysis.

In an implementation manner, the state of the lightning arrester is judged according to SPD working information, grounding information and environmental information.

In one embodiment, the data processing module predicts the service life of the lightning arrester as follows:

Among them, C is the rated lightning discharge times of the lightning arrester, C ₁ is the SPD discharge lightning strike times of the lightning protection device, C ₂ is the intrusion surge times of the lightning protection device, I _1i is the i-th lightning current peak value, I _2i is the peak value of the i-th intrusion surge, I is the rated lightning discharge current of the arrester, sgn[x] is the sign function, T is the rated working time of the arrester, t is the actual working time of the arrester, α and β is the default index parameter.

in,

In one implementation, when the i-th lightning current peak value is too large, and the ratio of I _1i to I is greater than 0.7 times, the damage effect of this lightning current on the lightning arrester is enlarged, and the enlarged effect of this lightning strike can be compensated. , reducing the predicted service life of the lightning arrester.

In an implementation manner, the rated lightning discharge times, rated lightning current and rated working time of the lightning protection device can be obtained according to the type of the lightning protection device.

In one embodiment, the lightning prediction equipment group includes an atmospheric electric field meter, a lightning strike prediction module and a second communication module;

Atmospheric electric field meter, used to collect electric field data in the atmosphere according to a preset period;

The lightning strike prediction module is used to predict the probability of lightning phenomenon occurring in the next preset period according to the electric field data collected by the current preset period, and calculate the lightning strength according to the electric field strength value, and predict the lightning phenomenon according to the probability of the lightning phenomenon and the lightning strength. The degree of damage to the protection equipment from lightning strikes;

The second communication module is used for data communication with the cloud service platform.

In an implementation manner, the lightning detection of the atmospheric electric field instrument can use radio frequency technology, electric field detection technology and radio frequency sensor to detect meteorological conditions and lightning signals, and calculate the lightning area range. The electric field in the atmosphere can be measured by means of an antenna (metal sphere or wire) perpendicular to the electric field and parallel to the ground.

In one embodiment, the lightning strike prediction module includes a collection sub-module, a calculation sub-module, a prediction sub-module and an evaluation sub-module; the electric field data is the electric charge change in the air within a preset period;

The calculation sub-module is used to calculate the electric field intensity in the current air according to the change of electric charge, and obtain the time series data of the atmospheric electric field in the current cycle;

The prediction sub-module is used to input the atmospheric electric field time series data into the pre-trained BP neural network, obtain the probability of lightning phenomenon occurring in the next preset period, and calculate the lightning intensity according to the electric field intensity value;

The evaluation sub-module is used to predict the damage degree of the protected equipment from lightning strikes according to the probability of lightning phenomenon and the intensity of lightning.

In one implementation, the formation of lightning is a process of accumulation of electric charges, and the probability of occurrence of lightning phenomena can be predicted by monitoring changes in the electric field in the atmosphere.

In one implementation, the charge change Q(t) is a function of the charge change of the test point over time. The potential between the test point and the preset reference point can be calculated by the following formula (3):

Among them, H is the distance between the thundercloud and the ground, ε is the dielectric constant, L ₁ is the distance between the test point and the preset reference point, and I(t) is the current generated by the change of charge over time. Equivalent capacitance C:

C=C ₀ +C ₁ (4)

Among them, C ₀ is the equivalent capacitance of the atmospheric electric field meter circuit, C ₁ is the capacitance between the antenna of the atmospheric electric field meter and the land,

Among them, r is the radius of the antenna of the atmospheric electric field meter, and L is the length of the antenna of the atmospheric electric field meter.

In one implementation, the lightning intensity of the thundercloud can be calculated according to the potential E:

Among them, τ is the time constant, τ ₀ is the standard value of the time constant, and E _max is the maximum potential E in each cycle.

An embodiment of the present invention has been described in detail above, but the content is only a preferred embodiment of the present invention, and cannot be considered to limit the scope of the present invention. All equivalent changes and improvements made according to the scope of the application of the present invention should still belong to the scope of the patent of the present invention.

Claims (7)

1. an intelligent lightning protection real-time online monitoring system, comprising a lightning protection device, is characterized in that, also comprises lightning monitoring equipment group, lightning forecasting equipment group and cloud service platform; in: The lightning monitoring equipment group is used to collect the lightning protection work information of the lightning protection device, and send the lightning protection work information to the cloud service platform; The cloud service platform is used to record the lightning protection work information, and predict the state of the lightning protection device according to the lightning protection work information; The lightning prediction equipment group is used to monitor the meteorological electric field information in the air near the protected equipment, and predict the damage degree of the protected equipment from lightning strikes according to the meteorological electric field information, and send it to the cloud service as early warning information platform; The cloud service platform is further configured to control the operation of the lightning protection device according to the early warning information, and perform early warning. 2. An intelligent lightning protection real-time online monitoring system according to claim 1, wherein the lightning monitoring equipment group comprises a lightning monitoring device, an SPD monitoring device, a grounding monitoring device, an environmental monitoring module and a first communication module ; The lightning protection work information includes lightning current waveform information, SPD work information, grounding information and environmental information; in: The lightning monitoring device is used for collecting the analog differential signal of lightning when the lightning arrester is working, and performing waveform restoration on the analog differential signal to obtain the lightning current waveform information; The SPD monitoring device is used to collect the SPD discharge lightning strike times of the lightning arrester, as well as the working data of the SPD, the data of the backup circuit breaker and the working environment data, as the working information of the SPD; The grounding monitoring device is used to collect the connection information of the grounding down-conductor, the loop grounding resistance and the metal loop connection information of the lightning arrester as the grounding information; The environmental monitoring module is used to collect leakage current data, power frequency current, voltage, Rogowski coil data, integrator data, temperature and zero sequence current of the lightning arrester as the environmental information; The first communication module is used for data communication with the cloud service platform. 3. a kind of intelligent lightning protection real-time online monitoring system according to claim 2, is characterized in that, described lightning current waveform information comprises lightning current waveform, polarity, peak value, charge amount, specific energy, time and number of times or Polarity, peak value, energy, time and number of intrusion surges on the line. 4. An 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 work information includes the The target device identification of the mine; The data statistics module is configured to count and record the lightning protection work information of the lightning protection device according to the target device identification; The data processing module is used for judging the state of the lightning protection device according to the lightning protection work information, and predicting the service life of the lightning protection device; The alarm module is configured to issue an alarm when the data processing module judges that the state of the lightning arrester is abnormal; The alarm module is further configured to issue an alarm when the data processing module predicts that the service life of the lightning arrester is less than a preset time value. 5. An 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 as follows:

Wherein, C is the rated lightning discharge times of the lightning protection device, C ₁ is the SPD discharge lightning strike times of the lightning protection device, C ₂ is the intrusion surge times of the lightning protection device, and I _1i is the ith time The peak value of lightning current, I _2i is the peak value of the i-th intrusion surge, I is the rated lightning discharge current of the arrester, sgn[x] is the sign function, T is the rated working time of the arrester, and t is the The actual working time of the lightning arrester, α and β are preset index parameters. 6. A kind of intelligent lightning protection real-time online monitoring system according to claim 1, is characterized in that, described lightning prediction equipment group comprises atmospheric electric field meter, lightning strike prediction module and second communication module; The atmospheric electric field meter is used to collect electric field data in the atmosphere according to a preset period; The lightning strike prediction module is used to predict the probability of a lightning phenomenon occurring in the next preset period according to the electric field data collected in the current preset period, and calculate the lightning strength according to the electric field strength value, and calculate the lightning strength according to the probability of the lightning phenomenon and the lightning strength. Predict the degree of damage to the protected equipment from lightning strikes; The second communication module is used for data communication with the cloud service platform. 7. An intelligent lightning protection real-time online monitoring system according to claim 6, wherein the lightning strike prediction module comprises a calculation sub-module, a prediction sub-module and an evaluation sub-module; and the electric field data is in a preset period Changes in charge in the air over time; The calculation submodule is used to calculate the electric field intensity in the current air according to the charge change, and obtain the atmospheric electric field time series data in the current cycle; The prediction sub-module is used to input the atmospheric electric field time series data into the pre-trained BP neural network, obtain the probability of lightning phenomenon occurring in the next preset period, and calculate the lightning intensity according to the electric field intensity value; The evaluation sub-module is used for predicting the damage degree of the protected equipment from lightning strikes according to the probability of the lightning phenomenon and the lightning intensity.

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