A video electromagnetic leakage signal protection system based on big data

Abstract

The present invention discloses a video electromagnetic leakage signal protection system based on big data, comprising an acquisition unit, an identification unit, a database, a trajectory analysis unit, a signal detection unit, a protection unit and an intelligent device; electromagnetic information related to the video electromagnetic leakage signal is collected by the acquisition unit, and the electromagnetic information is transmitted to the identification unit; the database stores record information related to the video electromagnetic leakage; the identification unit obtains the record information from the database; the present invention detects signals outside the set distance range of the device by the signal detection unit; the trajectory analysis unit performs trajectory analysis operations on type data, recorded wavelength data, recorded power data, recorded position data, electromagnetic wave speed data, electromagnetic frequency data, name data, current data and voltage data together, accurately analyzes the moving direction of the leakage signal, and reversely deduces the leakage source, thereby increasing the accuracy of data analysis, saving time and improving work efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of electromagnetic signal leakage, and in particular to a video electromagnetic leakage signal protection system based on big data. Background Art

[0002] Electromagnetic leakage refers to the electromagnetic leakage caused by the equipment of the information system being able to radiate through the ground wire, power wire, signal wire, parasitic electromagnetic signals or harmonics when working. If these electromagnetic signals are received and extracted and processed, the original information can be restored, resulting in information leakage;

[0003] At present, the countermeasures for electromagnetic leakage are not discovered until a long time after the leakage, which causes the leakage of electromagnetic signals to threaten the security of information. After the leakage, people need to inspect every part of the equipment, which takes a lot of time. Therefore, we propose a video electromagnetic leakage signal protection system based on big data. Summary of the invention

[0004] The purpose of the present invention is to provide a video electromagnetic leakage signal protection system based on big data.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A video electromagnetic leakage signal protection system based on big data, comprising an acquisition unit, an identification unit, a database, a trajectory analysis unit, a signal detection unit, a protection unit and an intelligent device;

[0007] The acquisition unit collects electromagnetic information related to the video electromagnetic leakage signal and transmits the electromagnetic information to the recognition unit;

[0008] The database stores recorded information related to electromagnetic leakage in the video. The recognition unit obtains the recorded information from the database and performs recognition operations on the recorded information together with the electromagnetic information to obtain type data, recorded wavelength data, recorded power data, recorded position data, electromagnetic wave velocity data, electromagnetic frequency data, current data and voltage data, and transmits them together to the trajectory analysis unit;

[0009] The signal detection unit detects the signal outside the set distance range of the device, and the trajectory analysis unit performs trajectory analysis operation on the type data, recorded wavelength data, recorded power data, recorded position data, electromagnetic wave speed data, electromagnetic frequency data, name data, current data and voltage data to obtain leakage source data and leakage location data, and transmit them to the smart device;

[0010] receiving and displaying leakage source data and leakage location data through the smart device, generating a protection signal, and sending the protection signal, leakage source data and leakage location data to the protection unit;

[0011] The database also stores a leakage signal protection method corresponding to the name data. The protection signal is received through the protection unit, and the corresponding leakage prevention plan is extracted from the database according to the leakage source data and the leakage location data, and the corresponding leakage prevention plan is executed.

[0012] As a further improvement of the present invention: the specific operation process of the identification operation is:

[0013] Step 1: Acquire electromagnetic information, calibrate the fluctuation speed of the electromagnetic wave in the electromagnetic information as electromagnetic wave speed data, calibrate the frequency of the electromagnetic wave in the electromagnetic information as electromagnetic frequency data, calibrate the current size of the electromagnetic device in the electromagnetic information as current data, and calibrate the voltage size of the electromagnetic device in the electromagnetic information as voltage data;

[0014] Step 2: Obtain the recorded information, mark the electromagnetic type in the recorded information as type data, mark the frequency corresponding to the electromagnetic wave type in the recorded information as recorded frequency data, mark the length of the electromagnetic wave in the recorded information as recorded wavelength data, mark the average power of the circuit in the recorded information as recorded power data, mark the location of the equipment parts in the recorded information as recorded location data, and mark the part name corresponding to the recorded location data in the recorded information as name data;

[0015] Step 3: extract the recorded frequency data and the frequency data, and match them. When the matching results of the recorded frequency data and the frequency data are consistent, it is determined that the two are the same electromagnetic wave, and the type data corresponding to the recorded frequency data is automatically extracted. When the matching results of the recorded frequency data and the frequency data are inconsistent, it is determined that the two are not the same electromagnetic wave, and the type data is not extracted;

[0016] Step 4: Extract the recording wavelength data, recording power data and recording position data corresponding to the type data.

[0017] As a further improvement of the present invention, the specific operation process of the trajectory analysis operation is as follows:

[0018] K1: Obtain type data, and extract the corresponding electromagnetic wave speed data and electromagnetic frequency data according to the type data, and bring the electromagnetic wave speed data and electromagnetic frequency data into the calculation formula: electromagnetic wavelength = wave speed data / frequency data;

[0019] K2: Obtain the recorded wavelength data and perform difference calculation between it and the electromagnetic wavelength data, wavelength difference = recorded wavelength data - electromagnetic wavelength data;

[0020] K3: Set a preset value of wavelength difference, calibrate it as the preset wavelength value, compare the wavelength difference with the preset wavelength value, and obtain a wavelength abnormality signal and a wavelength normal signal;

[0021] K4: Obtain current data and voltage data, and substitute them into the calculation formula: power = current data * voltage data, substitute the power and recorded power data into the difference calculation formula, thereby calculating the power difference, setting a preset value of the power difference, and calibrating it as the power preset value, and comparing it with the power difference to obtain a power abnormality signal and a power normal signal;

[0022] K5: Acquire a normal wavelength signal, an abnormal wavelength signal, a normal power signal, and an abnormal power signal. When an abnormal wavelength signal and an abnormal power signal appear at the same time, the electromagnetic signal is determined to be wrong and an analysis signal is generated. Otherwise, the electromagnetic signal is determined to be normal and no analysis signal is generated. The electromagnetic signal is leak analyzed based on the analysis signal to obtain leakage source data and leakage location data.

[0023] K6: Transmit leak source data and leak location data to smart devices.

[0024] As a further improvement of the present invention, the process of comparing the wavelength difference with the wavelength preset value is specifically as follows:

[0025] S1: When the wavelength difference is less than or equal to the wavelength preset value, it is determined that the wavelength change is within the preset value range, and a wavelength normal signal is generated;

[0026] S2: When the wavelength difference is greater than the wavelength preset value, it is determined that the wavelength change is outside the preset value range and a wavelength abnormality signal is generated.

[0027] As a further improvement of the present invention, the process of comparing the preset power value with the power difference value is specifically as follows:

[0028] A1: When the power difference is less than or equal to the preset power value, it is determined that the power change is within the preset value range, and a power normal signal is generated;

[0029] A2: When the power difference is greater than the preset power value, it is determined that the power change is outside the preset value range and a power abnormality signal is generated.

[0030] As a further improvement of the present invention, the leakage analysis process of the electromagnetic signal is specifically as follows:

[0031] H1: Obtain the corresponding record location data according to the type data;

[0032] H2: Obtain the recorded position data, and establish a virtual space rectangular coordinate system based on the bottom angle of the device corresponding to the recorded position data as the origin, calibrate the positions of different parts in the virtual space rectangular coordinate system, and record the calibrated points as part coordinate points;

[0033] H3: Obtain the position of the signal at different time points through the signal detection unit, and mark it as signal position data, mark the signal position data in the virtual space rectangular coordinate system, and mark the point as the signal coordinate point;

[0034] H4: Obtain the signal coordinate points of the signals detected at two different time points, connect the two signal coordinate points with a straight line, mark the straight line as the signal connection line, extend one side of the signal connection line, and when the part coordinate point is on the extended signal connection line, it is determined that the part is a signal leakage part and a danger signal is generated. When the part coordinate point is not on the extended signal connection line, it is determined that the part is not a signal leakage part and a re-detection signal is generated;

[0035] H5: Extract the danger signal and the re-detection signal, and identify them. When the re-detection signal is identified, perform the above H4 operation again. When the danger signal is identified, extract the corresponding name data and the corresponding record position data, mark the name data as the leakage source data, and mark the record position data corresponding to the leakage source data as the leakage position data.

[0036] Beneficial effects of the present invention:

[0037] (1) The signal detection unit detects signals outside the set distance range of the device, and the trajectory analysis unit performs trajectory analysis operations on the type data, recorded wavelength data, recorded power data, recorded position data, electromagnetic wave speed data, electromagnetic frequency data, name data, current data and voltage data, accurately analyzes the movement direction of the leakage signal, and reversely deduce the leakage source, thereby increasing the accuracy of data analysis, saving time and improving work efficiency.

[0038] (2) Receive and display leakage source data and leakage location data through smart devices, generate protection signals, and send the protection signals, leakage source data, and leakage location data to the protection unit; the database also stores leakage signal protection methods corresponding to the name data, receives protection signals through the protection unit, and extracts corresponding leakage prevention plans from the database based on the leakage source data and leakage location data, and executes the corresponding leakage prevention plans; quickly draw conclusions and prompt management personnel to handle them according to corresponding measures to avoid large amounts of electromagnetic signal leakage and increase the safety of electromagnetic signal leakage. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The present invention will be further described below in conjunction with the accompanying drawings;

[0040] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] See also Figure 1 As shown, the present invention is a video electromagnetic leakage signal protection system based on big data, including an acquisition unit, an identification unit, a database, a trajectory analysis unit, a signal detection unit, a protection unit and an intelligent device;

[0043] The acquisition unit is used to collect electromagnetic information related to the video electromagnetic leakage signal and transmit the electromagnetic information to the recognition unit;

[0044] The database stores the recorded information related to the video electromagnetic leakage. The recognition unit obtains the recorded information from the database and performs the recognition operation on the recorded information together with the electromagnetic information. The specific operation process of the recognition operation is as follows:

[0045] Step 1: Acquire electromagnetic information, calibrate the fluctuation speed of the electromagnetic wave in the electromagnetic information as electromagnetic wave speed data, calibrate the frequency of the electromagnetic wave in the electromagnetic information as electromagnetic frequency data, calibrate the current size of the electromagnetic device in the electromagnetic information as current data, and calibrate the voltage size of the electromagnetic device in the electromagnetic information as voltage data;

[0046] Step 2: Obtain the recorded information, mark the electromagnetic type in the recorded information as type data, mark the frequency corresponding to the electromagnetic wave type in the recorded information as recorded frequency data, mark the length of the electromagnetic wave in the recorded information as recorded wavelength data, mark the average power of the circuit in the recorded information as recorded power data, mark the location of the equipment parts in the recorded information as recorded location data, and mark the part name corresponding to the recorded location data in the recorded information as name data;

[0047] Step 3: extract the recorded frequency data and the frequency data, and match them. When the matching results of the recorded frequency data and the frequency data are consistent, it is determined that the two are the same electromagnetic wave, and the type data corresponding to the recorded frequency data is automatically extracted. When the matching results of the recorded frequency data and the frequency data are inconsistent, it is determined that the two are not the same electromagnetic wave, and the type data is not extracted;

[0048] Step 4: extracting the recording wavelength data, recording power data and recording position data corresponding to the type data, and transmitting them together with the electromagnetic wave velocity data, electromagnetic frequency data, current data and voltage data to the trajectory analysis unit;

[0049] The signal detection unit is used to detect signals outside the set distance range of the device. The trajectory analysis unit is used to perform trajectory analysis operations on the type data, recorded wavelength data, recorded power data, recorded position data, electromagnetic wave speed data, electromagnetic frequency data, name data, current data and voltage data. The specific operation process of the trajectory analysis operation is as follows:

[0050] K1: Obtain type data, and extract the corresponding electromagnetic wave speed data and electromagnetic frequency data according to the type data, and bring the electromagnetic wave speed data and electromagnetic frequency data into the calculation formula: electromagnetic wavelength = wave speed data / frequency data;

[0051] K2: Obtain the recorded wavelength data and perform difference calculation between it and the electromagnetic wavelength data, wavelength difference = recorded wavelength data - electromagnetic wavelength data;

[0052] K3: Set a preset value of wavelength difference, calibrate it as the preset wavelength value, and compare the wavelength difference with the preset wavelength value, specifically:

[0053] S1: When the wavelength difference is less than or equal to the wavelength preset value, it is determined that the wavelength change is within the preset value range, and a wavelength normal signal is generated;

[0054] S2: When the wavelength difference is greater than the wavelength preset value, it is determined that the wavelength change is outside the preset value range, and a wavelength abnormality signal is generated;

[0055] K4: Obtain current data and voltage data, and substitute them into the calculation formula: power = current data * voltage data, substitute the power and recorded power data into the difference calculation formula, thereby calculating the power difference, setting a preset value of the power difference, and calibrating it as the power preset value, and comparing it with the power difference, specifically:

[0056] A1: When the power difference is less than or equal to the preset power value, it is determined that the power change is within the preset value range, and a power normal signal is generated;

[0057] A2: When the power difference is greater than the preset power value, it is determined that the power change is outside the preset value range and a power abnormality signal is generated;

[0058] K5: Obtain the normal wavelength signal, abnormal wavelength signal, normal power signal and abnormal power signal, and perform leakage analysis on them, specifically:

[0059] H1: Obtain the corresponding record location data according to the type data;

[0060] H2: Obtain the recorded position data, and establish a virtual space rectangular coordinate system based on the bottom angle of the device corresponding to the recorded position data as the origin, calibrate the positions of different parts in the virtual space rectangular coordinate system, and record the calibrated points as part coordinate points;

[0061] H3: Obtain the position of the signal at different time points through the signal detection unit, and mark it as signal position data, mark the signal position data in the virtual space rectangular coordinate system, and mark the point as the signal coordinate point;

[0062] H4: Obtain the signal coordinate points of the signals detected at two different time points, connect the two signal coordinate points with a straight line, mark the straight line as the signal connection line, extend one side of the signal connection line, and when the part coordinate point is on the extended signal connection line, it is determined that the part is a signal leakage part and a danger signal is generated. When the part coordinate point is not on the extended signal connection line, it is determined that the part is not a signal leakage part and a re-detection signal is generated;

[0063] H5: extract the danger signal and the re-detection signal, and identify them. When the re-detection signal is identified, the operation of H4 is performed again. When the danger signal is identified, the corresponding name data and the corresponding record position data are extracted, and the name data is marked as the leakage source data, and the record position data corresponding to the leakage source data is marked as the leakage position data;

[0064] K6: Transmit the leak source data and leak location data to the smart device;

[0065] The smart device is used to receive and display the leakage source data and the leakage location data, and generate a protection signal, and send the protection signal, the leakage source data and the leakage location data to the protection unit. The smart device is specifically a tablet computer;

[0066] The database also stores the leakage signal protection method corresponding to the name data. The protection unit receives the protection signal, extracts the corresponding leakage prevention plan from the database based on the leakage source data and the leakage location data, and performs protection operations based on the leakage prevention plan. The protection operation specifically refers to adding interference signals or wrapping shielding materials around the leakage source data.

[0067] When the present invention is working, the acquisition unit acquires electromagnetic information related to the video electromagnetic leakage signal, and transmits the electromagnetic information to the identification unit; the identification unit obtains the recorded information from the database, and performs an identification operation on the recorded information together with the electromagnetic information to obtain type data, recorded wavelength data, recorded power data, recorded position data, electromagnetic wave speed data, electromagnetic frequency data, current data and voltage data, and transmits them together to the trajectory analysis unit; the signal detection unit detects the signal outside the distance range set by the device, and the trajectory analysis unit performs a trajectory analysis operation on the type data, recorded wavelength data, recorded power data, recorded position data, electromagnetic wave speed data, electromagnetic frequency data, name data, current data and voltage data together to obtain leakage source data and leakage location data, and transmits them to the intelligent device; the leakage source data and leakage location data are received and displayed by the intelligent device, and a protection signal is generated, and the protection signal, the leakage source data and the leakage location data are sent to the protection unit; the database also stores a leakage signal protection method corresponding to the name data, the protection unit receives the protection signal, and extracts the corresponding anti-leakage plan from the database according to the leakage source data and the leakage location data, and executes the corresponding anti-leakage plan.

[0068] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. A video electromagnetic leakage signal protection system based on big data, characterized in that: It includes a collection unit, an identification unit, a database, a trajectory analysis unit, a signal detection unit, a protection unit and intelligent equipment; The acquisition unit collects electromagnetic information related to the video electromagnetic leakage signal and transmits the electromagnetic information to the recognition unit; The database stores recorded information related to electromagnetic leakage in the video. The recognition unit obtains the recorded information from the database and performs recognition operations on the recorded information together with the electromagnetic information to obtain type data, recorded wavelength data, recorded power data, recorded position data, electromagnetic wave velocity data, electromagnetic frequency data, current data and voltage data, and transmits them together to the trajectory analysis unit; The signal detection unit detects the signal outside the set distance range of the device, and the trajectory analysis unit performs trajectory analysis operation on the type data, recorded wavelength data, recorded power data, recorded position data, electromagnetic wave speed data, electromagnetic frequency data, name data, current data and voltage data to obtain leakage source data and leakage location data, and transmit them to the smart device; receiving and displaying leakage source data and leakage location data through the smart device, generating a protection signal, and sending the protection signal, leakage source data and leakage location data to the protection unit; The database also stores a leakage signal protection method corresponding to the name data, receives the protection signal through the protection unit, extracts the corresponding leakage prevention plan from the database according to the leakage source data and the leakage location data, and executes the corresponding leakage prevention plan; The specific operation process of the identification operation is as follows: Step 1: Acquire electromagnetic information, calibrate the fluctuation speed of the electromagnetic wave in the electromagnetic information as electromagnetic wave speed data, calibrate the frequency of the electromagnetic wave in the electromagnetic information as electromagnetic frequency data, calibrate the current size of the electromagnetic device in the electromagnetic information as current data, and calibrate the voltage size of the electromagnetic device in the electromagnetic information as voltage data; Step 2: Obtain the recorded information, mark the electromagnetic type in the recorded information as type data, mark the frequency corresponding to the electromagnetic wave type in the recorded information as recorded frequency data, mark the length of the electromagnetic wave in the recorded information as recorded wavelength data, mark the average power of the circuit in the recorded information as recorded power data, mark the location of the equipment parts in the recorded information as recorded location data, and mark the part name corresponding to the recorded location data in the recorded information as name data; Step 3: extract the recorded frequency data and the frequency data, and match them. When the matching results of the recorded frequency data and the frequency data are consistent, it is determined that the two are the same electromagnetic wave, and the type data corresponding to the recorded frequency data is automatically extracted. When the matching results of the recorded frequency data and the frequency data are inconsistent, it is determined that the two are not the same electromagnetic wave, and the type data is not extracted; Step 4: extracting the recording wavelength data, recording power data and recording position data corresponding to the type data; The specific operation process of trajectory analysis is as follows: K1: Obtain type data, and extract the corresponding electromagnetic wave speed data and electromagnetic frequency data according to the type data, and bring the electromagnetic wave speed data and electromagnetic frequency data into the calculation formula: electromagnetic wavelength = wave speed data / frequency data; K2: Obtain the recorded wavelength data, and perform difference calculation between the recorded wavelength data and the electromagnetic wavelength data, where wavelength difference = recorded wavelength data - electromagnetic wavelength data; K3: Set a preset value of wavelength difference, calibrate it as the preset wavelength value, compare the wavelength difference with the preset wavelength value, and obtain a wavelength abnormality signal and a wavelength normal signal; K4: Obtain current data and voltage data, and substitute them into the calculation formula: power = current data * voltage data, substitute the power and recorded power data into the difference calculation formula, thereby calculating the power difference, setting a preset value of the power difference, and calibrating the preset value of the power difference as the preset power value, and comparing the preset power value with the power difference to obtain a power abnormality signal and a power normal signal; K5: Acquire a normal wavelength signal, an abnormal wavelength signal, a normal power signal, and an abnormal power signal. When an abnormal wavelength signal and an abnormal power signal appear at the same time, the electromagnetic signal is determined to be wrong and an analysis signal is generated. Otherwise, the electromagnetic signal is determined to be normal and no analysis signal is generated. The electromagnetic signal is leak analyzed based on the analysis signal to obtain leakage source data and leakage location data. K6: Transmit the leak source data and leak location data to the smart device; The leakage analysis process of electromagnetic signals is as follows: H1: Obtain the corresponding record location data according to the type data; H2: Obtain the recorded position data, and establish a virtual space rectangular coordinate system based on the bottom angle of the device corresponding to the recorded position data as the origin, calibrate the positions of different parts in the virtual space rectangular coordinate system, and record the calibrated points as part coordinate points; H3: Obtain the position of the signal at different time points through the signal detection unit, and mark it as signal position data, mark the signal position data in the virtual space rectangular coordinate system, and mark the point as the signal coordinate point; H4: Obtain the signal coordinate points detected at two different time points, connect the two signal coordinate points with a straight line, mark the straight line as the signal connection line, extend one side of the signal connection line, and when the part coordinate point is on the extended signal connection line, it is determined that the part is a signal leakage part and a danger signal is generated. When the part coordinate point is not on the extended signal connection line, it is determined that the part is not a signal leakage part and a re-detection signal is generated; H5: Extract the danger signal and the re-detection signal, and identify them. When the re-detection signal is identified, perform the above H4 operation again. When the danger signal is identified, extract the corresponding name data and the corresponding record position data, mark the name data as the leakage source data, and mark the record position data corresponding to the leakage source data as the leakage position data.

2. According to the big data-based video electromagnetic leakage signal protection system of claim 1, it is characterized in that: The specific process of comparing the wavelength difference with the wavelength preset value is as follows: S1: When the wavelength difference is less than or equal to the wavelength preset value, it is determined that the wavelength change is within the preset value range, and a wavelength normal signal is generated; S2: When the wavelength difference is greater than the wavelength preset value, it is determined that the wavelength change is outside the preset value range and a wavelength abnormality signal is generated.

3. The video electromagnetic leakage signal protection system based on big data according to claim 1 is characterized in that: The specific process of comparing the power preset value with the power difference value is as follows: A1: When the power difference is less than or equal to the preset power value, it is determined that the power change is within the preset value range, and a power normal signal is generated; A2: When the power difference is greater than the preset power value, it is determined that the power change is outside the preset value range and a power abnormality signal is generated.

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