Near electricity inductor data acquisition system and method

Abstract

The invention discloses a near-electricity inductor data acquisition system and method. The method comprises the following steps: S1, acquiring electric field signals of electrode probes arranged at multiple angles in an electric field operation environment; s2, filtering other electric field signal data interfering the electric field signal; s3, performing size sorting on the filtered electric field signals; s4, the electric field signals processed by the tiny signal processing unit are enhanced in an equal proportion; s5, transmitting the enhanced electric field signal to a monitoring terminal through a wireless Bluetooth transmission module; s6, judging whether the electric field signal at each angle is abnormal or not, if so, entering a step S7, and if not, entering a step S8; s7, deleting the abnormal electric field signal, and sending out unique identification codes and abnormal information of the electrode probes corresponding to different angles on the probe of the near-electricity sensor at the same time; and abnormal data stacking of the system storage database is prevented. And S8, calculating simulation charges corresponding to the electric field signals of each angle.

Description

Technical Field

[0001] This invention belongs to the field of electric field data acquisition and processing technology, specifically, it relates to a proximity sensor data acquisition system and method. Background Technology

[0002] Proximity induction alarms, also known as carrier wave induction alarms, are a common type of electromagnetic field induction alarm. They utilize the principle of induced current for detection, enabling non-contact detection of metal materials such as steel, copper, and aluminum.

[0003] Existing proximity sensors use overly simplistic methods to detect electric field strength, providing limited output status information—merely a switching signal with a single, generic warning. Since electric field strength is directly proportional to the electrostatic constant and the original electric field, and inversely proportional to the square of the test distance, switching signals are unsuitable for accurate measurement of electric field strength. Furthermore, the environment at power field sites is extremely complex; the presence of other charged or uncharged objects can cause electric field interference or overlap, affecting the accuracy of proximity sensor data acquisition. Summary of the Invention

[0004] To address the problem that existing proximity sensor detection methods are too simple, output limited status information, and are unable to collect data on electric field interference devices in power field operations, this invention provides a proximity sensor data acquisition system and method.

[0005] To achieve the above-mentioned technical objectives, the technical solution adopted by the present invention is as follows:

[0006] A proximity sensor data acquisition system includes a multi-angle sensing unit, a signal filtering unit, a micro-signal processing unit, an operational amplifier unit, and an analog electric field numerical output unit.

[0007] The multi-angle sensing unit is communicatively connected to the signal filtering unit, and uses electrode probes set at multiple angles to acquire electric field signals in the power field operation environment.

[0008] The signal filtering unit is communicatively connected to the micro-signal processing unit and is used to filter out other electric field signal data that interfere with the electric field signal;

[0009] The micro-signal processing unit is communicatively connected to the operational amplifier unit to sort the filtered electric field signals by magnitude.

[0010] The operational amplifier unit is communicatively connected to the electric field measurement numerical unit, which proportionally amplifies the electric field signal processed by the micro-signal processing unit, facilitating subsequent analog charge judgment and calculation.

[0011] The simulated electric field numerical output unit transmits the enhanced electric field signal to the monitoring terminal via a wireless Bluetooth transmission module, determines whether the electric field signal at each angle is abnormal, and calculates the simulated charge corresponding to the electric field signal at each angle.

[0012] Furthermore, the electrode probe is connected to the probe of a proximity sensor. Each acquisition uses only one electrode probe to collect one signal. At the same acquisition location, electrode probes set at multiple angles need to be energized one by one to collect the electric field signal in the power field operation environment.

[0013] Furthermore, when electrode probes set at multiple angles collect electric field signals in a power field operation environment, the electric field signal at the same collection location includes the unique identifier of the electrode probe at different angles, the time sequence, and the corresponding electric field signal.

[0014] Further, the detailed steps for filtering out other electric field signal data that interfere with the electric field signal are as follows:

[0015] The signal filtering unit is preset with a range of electric field signals that need to be filtered;

[0016] When an electric field signal is received, the corresponding electric field signal is directly matched and read.

[0017] Determine whether the read electric field signal is within the preset range of electric field signals that need to be filtered;

[0018] If the signal is within the preset range of the electric field signal to be filtered, then delete the unique identifier of the corresponding electrode probe at different angles, the different time series and the corresponding electric field signal.

[0019] If the signal is not within the preset range of the electric field signal to be filtered, it is sent to the micro signal processing unit.

[0020] Further, detailed steps for determining whether the electric field signal at each angle is abnormal:

[0021] S5011. Select one plane of the electrode probe with multiple angles as the reference plane;

[0022] S5012. Write the unique identification code of the electrode probe at different angles into the database of the proximity sensor data acquisition system and query the electric field signals collected by all electrode probes under the reference plane selected in the above steps.

[0023] S5013. Obtain the direction of the electric field signal device to be detected in the power field operation environment;

[0024] S5014. Determine whether the electric field signal intensity or magnitude data value of the electrode probe on the reference surface shows a pattern where the electric field signal intensity or magnitude data value of the electrode probe closer to the electric field signal device to be detected is greater. At the same time, in the sorting of the electric field signals after filtering in the micro signal processing unit, the unique identifier code of the corresponding electrode probe is placed earlier.

[0025] S5015. If the electric field signal intensity or magnitude data value of the electrode probe in the direction closer to the electric field signal device to be detected is larger, then proceed to the step of calculating the simulated charge corresponding to the electric field signal at each angle.

[0026] S5016. If there is no pattern showing that the electric field signal intensity or magnitude data value of the electrode probe is greater in the direction closer to the electric field signal device to be detected, then find the electric field signal of the abnormal electrode probe and delete the unique identifier code, time series and corresponding electric field signal of the electrode probe at different angles.

[0027] Further, detailed steps for determining whether the electric field signal at each angle is abnormal:

[0028] Acquire the orientation of the device whose electric field signal is to be detected in the power field operation environment;

[0029] Based on the unique identifier of the electrode probe at different angles, the electric field signal data value (electric field strength or charge carried by the probe) in the preset angle direction of the probe is transformed into the direction of the electric field signal device to be detected through spatial trigonometric function relationship, so as to obtain the vector data value of the electric field signal data value in the preset angle direction of the probe.

[0030] Determine whether the vector data value of the electric field signal in the direction of the probe at the preset angle shows a pattern where the electric field signal data value of the electrode probe is larger the closer it is to the device to be tested.

[0031] If the electric field signal data value of the electrode probe is larger the closer it is to the device to be tested, then it is determined that there is no abnormality in the collected electric field signal.

[0032] If the electric field signal data value of the electrode probe is not larger the closer it is to the device being tested, the electric field signal acquisition is considered abnormal.

[0033] Furthermore, the analog charge method is used to calculate the analog charge corresponding to the electric field signal at each angle;

[0034] The simulated charge method uses a set of discrete charges within a conductor to replace the continuous free charges distributed on the surface of the conductor electrodes. The superposition theorem is used to calculate the electric field strength at any point in the electric field domain using formulas derived from these simulated charges. Furthermore, the boundary element method is used to determine these simulated charges. Therefore, finding and determining these simulated charges is crucial for accurate electric field calculations.

[0035] The specific calculation process includes:

[0036] Establishment of a system of simulated charge equations;

[0037] k simulated charges B are placed outside the field. j (j=1,2,…,k), select k potential matching points on the electrode surface, and the potential value at each point is... Given that for k matching points, the superposition theorem provides the potential expression for the k simulated charges:

[0038]

[0039] In the formula, A ij This is the potential value generated by the simulated charge j at the matching point i, but this potential value depends only on the position and type of the charge, and is independent of the charge value of the simulated charge.

[0040] Solving the system of charge equations in simulation;

[0041] The charge value B of the simulated charge was determined using Gaussian elimination. j (j = 1, 2, ..., k).

[0042] Verification and determination of simulated charge:

[0043] To verify whether the potential of the simulated charge satisfies the boundary conditions of the mismatched points on the electrode surface, s additional verification points are selected on the electrode surface, and the potential at each verification point is calculated:

[0044]

[0045] In the above formula, A nj (j=1,2,…,k), representing the potential value generated by the simulated charge j at the verification point; the potential values ​​at each potential verification point are... With a given known potential value In contrast, if the difference between the two satisfies the following formula:

[0046]

[0047] In the formula, Δ is the preset calculation error. If (3) is satisfied, the simulated charge value obtained by formula (1) is valid. The field strength or potential value at any point in the field is calculated by the simulated charge. If not satisfied, the number and position of the simulated charge in establishing the simulated charge equation set should be adjusted, and the process should return to the step of establishing the simulated charge equation set until formula (3) is satisfied.

[0048] In the field operation environment of power, the equipment that generates charge includes insulators, grounded conductors and suspended conductors; different types of charge are generated on the surface of the equipment, free surface charge is generated on the surface of conductors, and dielectric surface polarization charge is formed on the surface of insulators. The equivalent charge affects and changes the electric field distribution characteristics through superposition.

[0049]

[0050] For the Pth i N surface points of the device k H represents the number of insulator devices. l N represents the number of grounding conductor devices. m The number of suspended conductor devices; S a Let S be the surface area of ​​the a-th insulator device. b Let S be the surface area of ​​the b-th grounding conductor device. c Let S be the surface area of ​​the c-th suspended conductor device. d Let P be the area of ​​the Earth. σ(P) is the surface density of the polarization charge. f (P) is the surface density of free charge, τ f (P) represents the surface density of free charges on the suspended conductor.

[0051] From the above equations, to calculate the electric field intensity at any point, the charge distribution density on the surface of the equipment needs to be known. The charge distribution density on the surface of insulators and suspended conductors can be obtained from the boundary integral equation of the equipment surface.

[0052] Therefore, the formula for calculating the potential at any point is as follows:

[0053]

[0054] After calculating the potential, the field strength is then calculated based on the relationship between potential and field strength in the spatial coordinate system.

[0055] A method for acquiring data from a proximity sensor, comprising the following steps:

[0056] S1. Collect electric field signals from the power field operation environment using electrode probes set at multiple angles;

[0057] S2, Other electric field signal data that filter out interfering electric field signals;

[0058] S3. Sort the filtered electric field signals by magnitude;

[0059] S4. Amplify the electric field signal processed by the micro-signal processing unit proportionally;

[0060] S5. Transmit the enhanced electric field signal to the monitoring terminal via a wireless Bluetooth transmission module;

[0061] S6. Determine whether the electric field signal at each angle is abnormal. If it is abnormal, proceed to step S7. If it is normal, proceed to step S8.

[0062] S7. Delete the abnormal electric field signal, and at the same time send out the unique identification code of the electrode probe corresponding to different angles on the proximity sensor probe and the abnormal information; to prevent the system's database from accumulating abnormal data.

[0063] S8. Calculate the simulated charge corresponding to the electric field signal at each angle.

[0064] Compared with the prior art, the present invention has the following advantages:

[0065] By increasing the amount of data carried by the collected electric field signals and adding more information to the output, the system can collect and eliminate data on electric field interference substances in the power field operation environment. Simultaneously, it verifies and judges abnormal electric field signals and calculates the simulated charges corresponding to the electric field signals, achieving an output that more closely approximates the actual data value of the electric field strength of the equipment under test. This facilitates subsequent judgment and early warning by construction personnel regarding changes in the electric field strength of equipment in the power field operation environment. Attached Figure Description

[0066] Figure 1 This is an overall structural block diagram of a proximity sensor data acquisition system according to an embodiment of the present invention;

[0067] Figure 2 This is an overall flowchart of a proximity sensor data acquisition method according to an embodiment of the present invention. Detailed Implementation

[0068] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to embodiments and accompanying drawings. The content mentioned in the embodiments is not intended to limit the present invention.

[0069] like Figure 1 As shown, this embodiment provides a proximity sensor data acquisition system, including a multi-angle sensing unit, a signal filtering unit, a micro-signal processing unit, an operational amplifier unit, and an analog electric field numerical output unit;

[0070] The multi-angle sensing unit is communicatively connected to the signal filtering unit, and uses electrode probes set at multiple angles to acquire electric field signals in the power field operation environment.

[0071] The signal filtering unit is communicatively connected to the micro-signal processing unit and is used to filter out other electric field signal data that interfere with the electric field signal;

[0072] The micro-signal processing unit is communicatively connected to the operational amplifier unit to sort the filtered electric field signals by magnitude.

[0073] The operational amplifier unit is communicatively connected to the electric field measurement numerical unit, which proportionally amplifies the electric field signal processed by the micro-signal processing unit, facilitating subsequent analog charge judgment and calculation.

[0074] The simulated electric field numerical output unit transmits the enhanced electric field signal to the monitoring terminal via a wireless Bluetooth transmission module, determines whether the electric field signal at each angle is abnormal, and calculates the simulated charge corresponding to the electric field signal at each angle.

[0075] The electrode probes are connected to the probe of a proximity sensor. Only one electrode probe acquires one signal at a time. At the same acquisition location, multiple electrode probes at different angles need to be energized one by one to acquire the electric field signal in the power field operation environment. This ensures that the acquisition circuit of a single electrode probe is not damaged or affected by environmental interference, preventing the acquired electric field signal from deviating from the actual electric field signal data.

[0076] When multi-angle electrode probes collect electric field signals in a power field operation environment, the electric field signal at the same collection location includes a unique identifier for each electrode probe at different angles, a time series, and the corresponding electric field signal. The unique identifier for each electrode probe at different angles facilitates matching and identification of the electrode probe locations and angles in a database. The corresponding electric field signals from different time series and different angles can all be converted to the same electric field plane. By comparing the electric field signals within the same electric field plane, the authenticity of the electric field signal and the direction of the source of the electric field can be analyzed.

[0077] Detailed steps for filtering out other electric field signal data that interfere with the electric field signal:

[0078] The signal filtering unit is preset with a range of electric field signals that need to be filtered; the electric field signals that need to be filtered are generally interference signals generated by other conductors or equipment in the power field operation environment.

[0079] When an electric field signal is received, the corresponding electric field signal is directly matched and read.

[0080] Determine whether the read electric field signal is within the preset range of electric field signals that need to be filtered;

[0081] If the signal is within the preset range of the electric field signal to be filtered, then delete the unique identifier of the corresponding electrode probe at different angles, the different time series and the corresponding electric field signal.

[0082] If the signal is not within the preset range of the electric field signal to be filtered, it is sent to the micro signal processing unit.

[0083] Detailed steps for determining whether electric field signals at various angles are abnormal:

[0084] S5011. Select one plane of the electrode probe with multiple angles as the reference plane;

[0085] S5012. Write the unique identification code of the electrode probe at different angles into the database of the proximity sensor data acquisition system to query the electric field signals collected by all electrode probes under the reference plane selected in the above steps; query the electric field signals of all electrode probes in the reference plane by the angle of the reference plane in three-dimensional space.

[0086] S5013. Obtain the direction of the electric field signal device to be detected in the power field operation environment; the direction of the electric field signal device to be detected can be acquired by setting the attitude sensor in the system.

[0087] S5014. Determine whether the electric field signal intensity or magnitude data value of the electrode probes on the reference surface shows a pattern where the electric field signal intensity or magnitude data value of the electrode probes closer to the device being tested is greater. Simultaneously, in the magnitude sorting of the filtered electric field signals in the micro-signal processing unit, the unique identifier code of the corresponding electrode probe appears earlier. Based on the principle of electric field intensity signals, it is known that the closer the electrode probe is to the device being tested, the greater the electric field signal intensity, and the farther away, the smaller the electric field signal intensity. The electric field signal intensity or magnitude data values ​​of symmetrical electrode probes on the reference surface are equal or similar. A preset value can be set to limit the difference in electric field signal intensity between symmetrical electrode probes on the reference surface, restricting the data acquisition values ​​of abnormal detection electrode probes from being written into the system's database. This prevents the problem of poor reference value for the simulated charge corresponding to the electric field signal at each angle calculated using the simulated charge method.

[0088] S5015. If the electric field signal intensity or magnitude data value of the electrode probe in the direction closer to the electric field signal device to be detected is larger, then proceed to the step of calculating the simulated charge corresponding to the electric field signal at each angle.

[0089] S5016. If there is no pattern showing that the electric field signal intensity or magnitude data value of the electrode probe is greater in the direction closer to the electric field signal device to be detected, then find the electric field signal of the abnormal electrode probe and delete the unique identifier code, time series and corresponding electric field signal of the electrode probe at different angles.

[0090] Detailed steps for determining whether electric field signals at various angles are abnormal:

[0091] This function acquires the direction of the electric field signal device to be detected in the power field operation environment; it is only applicable when the electric field signal device to be detected in the power field operation environment is known.

[0092] Based on the unique identifier of the electrode probe at different angles, the electric field signal data value (electric field strength or charge carried by the probe) at the preset angle direction is converted to the direction of the electric field signal device to be detected through spatial trigonometric function relationship, and the vector data value of the electric field signal data value at the preset angle direction of the probe is obtained; the electric field strength or charge carried by the probe is vector data in three-dimensional space, and the electric field strength or charge carried by the probe can carry vector data of angle and direction.

[0093] Determine whether the vector data value of the electric field signal in the direction of the probe at the preset angle shows a pattern where the electric field signal data value of the electrode probe is larger the closer it is to the device to be tested.

[0094] If the electric field signal data value of the electrode probe is larger the closer it is to the device to be tested, then it is determined that there is no abnormality in the collected electric field signal.

[0095] If the electric field signal data value of the electrode probe does not conform to the rule that the closer the probe is to the device being tested, the larger the electric field signal value, then the acquired electric field signal is considered abnormal. Abnormal electric field signals require the deletion of the corresponding unique identifier, time series, and electric field signal of the electrode probe at different angles.

[0096] The analog charge method is used to calculate the analog charge corresponding to the electric field signal at each angle;

[0097] The simulated charge method uses a set of discrete charges within a conductor to replace the continuous free charges distributed on the surface of the conductor electrodes. The superposition theorem is used to calculate the electric field strength at any point in the electric field domain using formulas derived from these simulated charges. Furthermore, the boundary element method is used to determine these simulated charges. Therefore, finding and determining these simulated charges is crucial for accurate electric field calculations.

[0098] The specific calculation process includes:

[0099] Establishment of a system of simulated charge equations;

[0100] k simulated charges B are placed outside the field. j (j=1,2,…,k), select k potential matching points on the electrode surface (using boundary conditions), and the potential value at each point is... This is known. For k matching points, using the superposition theorem, the potential expression established by the k simulated charges can be derived:

[0101]

[0102] In the formula, A ij This is the potential value generated by the simulated charge j at the matching point i, but this potential value depends only on the position and type of the charge, and is independent of the charge value of the simulated charge.

[0103] Solving the system of charge equations in simulation;

[0104] The charge value B of the simulated charge was determined using Gaussian elimination. j (j = 1, 2, ..., k).

[0105] Verification and determination of simulated charges.

[0106] Verify whether the potential of the simulated charge satisfies the boundary conditions at the mismatched points on the electrode surface. Select s additional verification points on the electrode surface, typically between two adjacent potential-matched points. Calculate the potential at each verification point, i.e.:

[0107]

[0108] The potential values ​​at each potential verification point With a given known potential value In contrast, if the difference between the two satisfies the following formula:

[0109]

[0110] In the formula, Δ is the preset calculation error. If (3) is satisfied, the simulated charge value obtained by solving the formula (1) is valid. That is to say, the field strength or potential value at any point in the field can be calculated by these simulated charges. If not satisfied, the number and position of the simulated charges assumed in the first step should be adjusted appropriately, and the process should return to the establishment of the simulated charge equation set until formula (3) is satisfied.

[0111] In the field operation environment of power, the equipment that generates charge includes insulators, grounded conductors and suspended conductors; different types of charge are generated on the surface of the equipment, free surface charge is generated on the surface of conductors, and dielectric surface polarization charge is formed on the surface of insulators. The equivalent charge affects and changes the electric field distribution characteristics through superposition.

[0112]

[0113] For the Pth i N surface points of the device k H represents the number of insulator devices. l N represents the number of grounding conductor devices. m The number of suspended conductor devices; S a Let S be the surface area of ​​the a-th insulator device. b Let S be the surface area of ​​the b-th grounding conductor device. cLet S be the surface area of ​​the c-th suspended conductor device. d Let P be the area of ​​the Earth. σ(P) is the surface density of the polarization charge. f (P) is the surface density of free charge, τ f (P) represents the surface density of free charges on the suspended conductor.

[0114] From the above equations, to calculate the electric field intensity at any point, the charge distribution density on the surface of the equipment needs to be known. The charge distribution density on the surface of insulators and suspended conductors can be obtained from the boundary integral equation of the equipment surface.

[0115] Therefore, the formula for calculating the potential at any point is as follows:

[0116]

[0117] After calculating the potential, the field strength is then calculated based on the relationship between potential and field strength in the spatial coordinate system.

[0118] like Figure 2 As shown, a method for acquiring data from a proximity sensor includes the following steps:

[0119] S1. Collect electric field signals from the power field operation environment using electrode probes set at multiple angles;

[0120] S2, Other electric field signal data that filter out interfering electric field signals;

[0121] S3. Sort the filtered electric field signals by magnitude;

[0122] S4. Amplify the electric field signal processed by the micro-signal processing unit proportionally;

[0123] S5. Transmit the enhanced electric field signal to the monitoring terminal via a wireless Bluetooth transmission module;

[0124] S6. Determine whether the electric field signal at each angle is abnormal. If it is abnormal, proceed to step S7. If it is normal, proceed to step S8.

[0125] S7. Delete the abnormal electric field signal, and at the same time send out the unique identification code of the electrode probe corresponding to different angles on the proximity sensor probe and the abnormal information; to prevent the system's database from accumulating abnormal data.

[0126] S8. Calculate the simulated charge corresponding to the electric field signal at each angle.

[0127] Compared with the prior art, the present invention has the following advantages:

[0128] By increasing the amount of data carried by the collected electric field signals and adding more information to the output, the system can collect and eliminate data on electric field interference substances in the power field operation environment. Simultaneously, it verifies and judges abnormal electric field signals and calculates the simulated charges corresponding to the electric field signals, achieving an output that more closely approximates the actual data value of the electric field strength of the equipment under test. This facilitates subsequent judgment and early warning by construction personnel regarding changes in the electric field strength of equipment in the power field operation environment.

[0129] The foregoing has provided a detailed description of a proximity sensor data acquisition system and method provided in this application. The specific embodiments described are merely for the purpose of helping to understand the method and its core ideas. It should be noted that those skilled in the art can make various improvements and modifications to this application without departing from its principles, and these improvements and modifications also fall within the protection scope of the claims of this application.

Claims

1. A proximity sensor data acquisition system, characterized in that, It includes a multi-angle sensing unit, a signal filtering unit, a micro-signal processing unit, an operational amplifier unit, and a simulated electric field numerical output unit; The multi-angle sensing unit is communicatively connected to the signal filtering unit, and uses electrode probes set at multiple angles to acquire electric field signals in the power field operation environment. The signal filtering unit is communicatively connected to the micro-signal processing unit and is used to filter out other electric field signal data that interfere with the electric field signal; The micro-signal processing unit is communicatively connected to the operational amplifier unit to sort the filtered electric field signals by magnitude. The operational amplifier unit is communicatively connected to the electric field measurement numerical unit, which proportionally amplifies the electric field signal processed by the micro-signal processing unit. This facilitates subsequent simulation of charge determination and calculation. The simulated electric field numerical output unit transmits the enhanced electric field signal to the monitoring terminal via a wireless Bluetooth transmission module, determines whether the electric field signal at each angle is abnormal, and calculates the simulated charge corresponding to the electric field signal at each angle.

2. The proximity sensor data acquisition system according to claim 1, characterized in that, The electrode probe is connected to the probe of a proximity sensor. Each time, only one electrode probe collects one signal. At the same collection position, multiple electrode probes set at different angles need to be energized one by one to collect the electric field signal in the power field operation environment.

3. The proximity sensor data acquisition system according to claim 2, characterized in that, When electrode probes with multiple angles collect electric field signals in a power field operation environment, the electric field signal at the same collection location includes the unique identifier of the electrode probes at different angles, the time series, and the corresponding electric field signal.

4. The proximity sensor data acquisition system according to claim 3, characterized in that, Detailed steps for filtering out other electric field signal data that interfere with the electric field signal: The signal filtering unit is preset with a range of electric field signals that need to be filtered; When an electric field signal is received, the corresponding electric field signal is directly matched and read. Determine whether the read electric field signal is within the preset range of electric field signals that need to be filtered; If the signal is within the preset range of the electric field signal to be filtered, then delete the unique identifier of the corresponding electrode probe at different angles, the different time series and the corresponding electric field signal. If the signal is not within the preset range of the electric field signal to be filtered, it is sent to the micro signal processing unit.

5. A proximity sensor data acquisition system according to claim 4, characterized in that, Detailed steps for determining whether electric field signals at various angles are abnormal: S5011. Select one plane of the electrode probe with multiple angles as the reference plane; S5012. Write the unique identification code of the electrode probe at different angles into the database of the proximity sensor data acquisition system and query the electric field signals collected by all electrode probes under the reference plane selected in the above steps. S5013. Obtain the direction of the electric field signal device to be detected in the power field operation environment; S5014. Determine whether the electric field signal intensity or magnitude data value of the electrode probe on the reference surface shows a pattern where the electric field signal intensity or magnitude data value of the electrode probe closer to the electric field signal device to be detected is greater. At the same time, in the sorting of the electric field signals after filtering in the micro signal processing unit, the unique identifier code of the corresponding electrode probe is placed earlier. S5015. If the electric field signal intensity or magnitude data value of the electrode probe in the direction closer to the electric field signal device to be detected is larger, then proceed to the step of calculating the simulated charge corresponding to the electric field signal at each angle. S5016. If there is no pattern showing that the electric field signal intensity or magnitude data value of the electrode probe is greater in the direction closer to the electric field signal device to be detected, then find the electric field signal of the abnormal electrode probe and delete the unique identifier, time series and corresponding electric field signal of the electrode probe at different angles.

6. A proximity sensor data acquisition system according to claim 4, characterized in that, Detailed steps for determining whether electric field signals at various angles are abnormal: Acquire the orientation of the device whose electric field signal is to be detected in the power field operation environment; Based on the unique identification code of the electrode probe at different angles, the electric field signal data value in the preset angle direction of the probe is transformed into the direction of the electric field signal device to be detected through spatial trigonometric function relationship, so as to obtain the vector data value of the electric field signal data value in the preset angle direction of the probe; Determine whether the vector data value of the electric field signal in the direction of the probe at the preset angle shows a pattern where the electric field signal data value of the electrode probe is larger the closer it is to the device to be tested. If the electric field signal data value of the electrode probe is larger the closer it is to the device to be tested, then it is determined that there is no abnormality in the collected electric field signal. If the electric field signal data value of the electrode probe is not larger the closer it is to the device being tested, the electric field signal acquisition is considered abnormal.

7. A proximity sensor data acquisition system according to claim 5 or 6, characterized in that, The analog charge method is used to calculate the analog charge corresponding to the electric field signal at each angle; The simulated charge method uses a set of discrete charges inside the conductor to replace the free charges continuously distributed on the surface of the conductor electrodes. The superposition theorem is used to calculate the electric field strength at any point in the electric field domain using formulas for these simulated charges, and the boundary element method is used to determine these simulated charges.

8. A proximity sensor data acquisition system according to claim 7, characterized in that, The specific calculation process includes: Establishment of the simulated charge equation system: k simulated charges B are placed outside the field. j (j=1,2,…,k), select k potential matching points on the electrode surface, and the potential value at each point is... Given that for k matching points, the superposition theorem provides the potential expression for the k simulated charges: In the formula, A ij To simulate the potential value generated by charge j at matching point i; Solving the system of analog charge equations: The charge value B of the simulated charge was determined using Gaussian elimination. j (j = 1, 2, ..., k).

9. A method for acquiring data from a proximity sensor, characterized in that, Including the following steps: S1. Collect electric field signals from the power field operation environment using electrode probes set at multiple angles; S2, Other electric field signal data that filter out interfering electric field signals; S3. Sort the filtered electric field signals by magnitude; S4. Amplify the electric field signal processed by the micro-signal processing unit proportionally; S5. Transmit the enhanced electric field signal to the monitoring terminal via a wireless Bluetooth transmission module; S6. Determine whether the electric field signal at each angle is abnormal. If it is abnormal, proceed to step S7. If it is normal, proceed to step S8. S7. Delete the abnormal electric field signal, and at the same time send out the unique identification code and abnormal information of the electrode probes at different angles on the proximity sensor probe. S8. Calculate the simulated charge corresponding to the electric field signal at each angle.

Images