Near electricity sensor data processing system and method

Abstract

The invention discloses a near-electricity sensor data processing system and method. The method comprises the following steps: acquiring electric field analog signal data in an environment; converting the electric field analog signal into a digital signal through an AD analog-to-digital converter; abnormal data in the digital signals are filtered through a filtering algorithm; enhancing the filtered digital signal to obtain an amplified digital signal; compressing the amplified repeated digital signal by adopting a domain correlation sequence algorithm; transmitting the compressed digital signal to a monitoring terminal; the monitoring terminal decompresses and restores the compressed digital signal according to an algorithm rule during compression; judging whether the decompressed and restored digital signal exceeds the limit or not; and carrying out corresponding early warning on the overrun numerical values in different ranges. According to the invention, the transmission data volume of the wireless transmission equipment and the network is reduced, and meanwhile, the acquisition and processing of the near electric induction data by the monitoring terminal are not influenced.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of near electric induction data processing, in particular to a near electric induction data processing system and method. BACKGROUND

[0002] In the working scene of high-voltage risks such as substations and high-voltage towers, workers carrying near electric induction devices enter, and usually output a single switch signal. Since the electric field intensity is proportional to the electrostatic force constant and the original electric field, and inversely proportional to the square of the test distance, the switch signal is not conducive to the real measurement of the electric field intensity.

[0003] In the Chinese patent with application number CN202310363019.1, a hierarchical early warning detection system based on near electric induction is disclosed, which includes a near electric induction device, and a scene acquisition device exists on the near electric induction device. The system includes: a near electric induction configuration module for pre-configuring the charge induction interval and the near electric induction mode of the near electric induction device, and generating a near electric induction instruction; a multi-source scene recognition module for collecting multi-source scene data according to the near electric induction instruction through the configuration of multiple data collection scripts on the scene acquisition device, and determining the multi-source scene data; a warning detection module for obtaining target data of the power equipment for early warning detection according to the multi-source scene data and the near electric induction instruction; and generating hierarchical warning information of the power equipment when the target data is near electric warning data, and sending the warning information to the user client; when the target data is near electric detection data, generating the position distribution information of the power equipment, and uploading to the user client.

[0004] The defect of the existing patent is that although the existing near electric induction data early warning system generates the position distribution information of the power equipment when the target data is near electric detection data and uploads to the user client, it lacks consideration of the transmission of the induction data. Since the near electric induction device generally collects signals with a frequency of 50 Hz for transmission, the transmission port collects a large amount of near electric induction data, and there are many transmission monitoring terminal devices. If the near electric induction data is not compressed, the storage capacity of the transmission device will exceed the limit, affecting the use effect of the wireless communication device. SUMMARY

[0005] In view of the problem that the existing near electric induction data transmission device lacks compression of near electric induction data, the application provides a near electric induction data processing system and method.

[0006] To achieve the above technical purposes, the technical scheme adopted by the application is as follows:

[0007] The application discloses a kind of near electric inductor data processing systems, including electric field signal acquisition unit, signal conversion unit, signal filter unit, signal amplification unit, electric field signal data compression unit, wireless transmission unit, electric field signal data decompression unit, electric field signal data judging unit and electric field signal data over-limit early warning unit;

[0008] Electric field signal acquisition unit is connected with signal conversion unit, for collecting electric field analog signal data in environment;

[0009] Signal conversion unit is connected with signal filter unit, and electric field analog signal is converted into digital signal by AD analog-digital converter;

[0010] Signal filter unit is connected with signal amplification unit, and abnormal data in digital signal is filtered by filtering algorithm;

[0011] Signal amplification unit is connected with electric field signal data compression unit, and the digital signal after filtering is enhanced, and amplified digital signal is obtained;

[0012] Electric field signal data compression unit is connected with wireless transmission unit, and the repeated digital signal after amplification is compressed;

[0013] Wireless transmission unit is connected with electric field signal data decompression unit, and compressed digital signal is transmitted to monitoring terminal;

[0014] Electric field signal data decompression unit is connected with electric field signal data judging unit, and monitoring terminal is compressed according to the algorithm rule of the time and the digital signal after compression is decompressed and restored;

[0015] Electric field signal data judging unit is connected with electric field signal data over-limit early warning unit, and whether the digital signal after decompression and restoration is over-limit is judged;

[0016] Electric field signal data over-limit early warning unit carries out corresponding early warning to over-limit value in different range.

[0017] Further, the electric field signal acquisition unit is a spherical electric field induction sensor, and the spherical electric field sensor is composed of a hollow sphere and a measuring capacitor C m The sensing area of the spherical electric field sensor is divided into two parts, and the surface of the sphere is coated with a metal layer, and the two metal sensing layers are insulated from each other, and are connected in the sphere by C m If the spherical electric field sensor is located in a non-uniform electric field generated by a point charge Q (t), the space point where the spherical electric field sensor is located is M, and the electric field intensity of point M before the spherical electric field sensor is put into the electric field is E m When the spherical electric field sensor is put into the electric field at point M, a small amount of electric charge will be induced on the surface of the two metal hemispheres under the action of the electric field force, and these surface microcharges will be connected to the measuring capacitor Cm The above will generate a small voltage. By measuring this small induced voltage, the electric field strength E m .

[0018] Further, the electric field signal acquisition unit collects an electric field analog signal, and the signal conversion unit converts the digital signal into an electric signal corresponding to an identifiable data value.

[0019] Further, the filtering algorithm is a limiting amplitude filtering algorithm, and the detailed steps of the limiting amplitude filtering algorithm for filtering abnormal data in the digital signal are as follows:

[0020] Determine whether the current collected digital signal and the last collected digital signal have changed in state, if not, proceed to the next step, if so, determine that the collected digital signal is abnormal;

[0021] Difference between the current collected digital signal and the last collected digital signal is obtained;

[0022] The obtained digital signal difference value is compared with the preset maximum deviation value;

[0023] If the obtained digital signal difference value is greater than or equal to the preset maximum deviation value, it is determined that the current collected digital signal is abnormal, the current collected digital signal is invalid, and the last collected normal digital signal is used to replace the current collected digital signal;

[0024] If the obtained digital signal difference value is less than the preset maximum deviation value, it is determined that the current collected digital signal is normal, and the current collected digital signal is valid.

[0025] Further, the compression process of the amplified digital signal by the electric field signal data compression unit is as follows:

[0026] The amplified digital signal is split into an integer and a floating point;

[0027] The lossless compression algorithm is used to encode the integer digital signal to obtain variable data and repeated data in the integer digital signal;

[0028] The field-dependent sequence algorithm (NCS) is used to compress the variable data, repeated data and floating point;

[0029] The compressed variable data, repeated data and floating point are converted into ASCII codes;

[0030] The converted ASCII codes are converted into binary codes;

[0031] The converted binary codes are iterated to obtain "0" and "1" code words;

[0032] Compare the Bits of the code words to obtain the optimal compression code word.

[0033] Further, the compressed digital signal is decompressed in the electric field signal data decompression unit according to the algorithm rule during compression, and the detailed steps are as follows:

[0034] The compressed code word is identified, and the initial traversal value of the code word is obtained.

[0035] The reverse "0" traversal is performed, and "0" is filled in the corresponding position, and "1" is filled in the remaining positions.

[0036] The reverse "1" traversal is performed, and "1" is filled in the corresponding position, and "0" is filled in the remaining positions.

[0037] The binary code is recovered, and the ASCII code is converted and recovered.

[0038] The ASCII code is encoded by using the reverse field correlation sequence algorithm (NCS), and the variable data, repeated data and floating point are obtained.

[0039] The data is merged, and the initial amplified digital signal is obtained.

[0040] Further, when the field correlation sequence algorithm compresses the variable data, repeated data and floating point, the continuity of the data before and after reading the data is first judged, then the traversal based on 0 and 1 is performed on each character of the read data, two code words are generated for each individual character, and the code word with the smallest number of bits is finally selected as the best code word.

[0041] Let the matrix array G composed of the amplified digital signal in time sequence period be an input matrix of size m x n, which is represented as a two-dimensional array, as shown in the following formula:

[0042]

[0043] Where, φ (m，n) is the measured data value of the amplified digital signal, m and n represent the measurement time sequence and the measurement physical quantity respectively, and the total size of the array is mxn=N. For an input sequence of length N, the NCS algorithm needs Opt size to store the compressed data, as shown in the following formula:

[0044]

[0045] Where NCS opt represents the number of bits in the code word, in addition, the NCS algorithm needs eight additional control bits C b to obtain the best number of bits in the compressed data, and the average number of bits required to store a single character in the monitoring array is:

[0046]

[0047] In the above formula, NCSch_av The storage byte amount is Opt size and NCS ch_av The lower the value, the higher the compression performance of the algorithm. As can be seen from the above formula, the NCS algorithm needs to store a character at most 4 bits, but the algorithm only needs to store a character in most cases 1 bit, and the algorithm can achieve better compression effect. The NCS code word construction table is as follows:

[0048]

[0049] Further, the wireless transmission unit transmits the compressed digital signal using the WSNs network.

[0050] Further, the detailed steps of the electric field signal data judgment unit for judging whether the decompressed and restored digital signal is out of limit are as follows:

[0051] The initial amplified digital signal (which is the decompressed and restored digital signal) is compared with the pre-stored electric field intensity of the staff that the monitoring terminal can enter;

[0052] It is judged whether the difference between the initial amplified digital signal and the pre-stored electric field intensity of the staff that the monitoring terminal can enter is within the warning range. If it is within the warning range, the next step is entered, if it is not, the entire data processing process is ended;

[0053] Different difference ranges within the warning range are traversed one by one;

[0054] When the difference between the initial amplified digital signal and the pre-stored electric field intensity of the staff that the monitoring terminal can enter falls into a certain difference range within the warning range, the falling difference range is sent to the electric field signal data out-of-limit warning unit;

[0055] The electric field signal data out-of-limit warning unit performs corresponding warning according to the out-of-limit values of different ranges.

[0056] Further, the upper and lower limits of the pre-stored electric field intensity of the staff that the monitoring terminal can enter are calculated by the spherical electric field induction sensor electric field intensity, and the electric field intensity calculation formula is:

[0057]

[0058] Wherein, Q(t) is the surface charge density of the spherical electric field induction sensor, d is the distance from the point charge Q(t) at point A to be measured to the center M of the spherical electric field induction sensor, and ε is the space dielectric constant;

[0059] The surface charge density of the point charge Q(t) on the spherical electric field induction sensor is solved by the image method, and the image method expression is:

[0060]

[0061] Wherein: a = R / d is a non-uniform coefficient, R is the length of the spherical surface radius from the center M point of the spherical electric field induction sensor, ε is the space dielectric constant; s is the area of the induction region; E m (t) is the field strength of the M point before the spherical electric field sensor is put into the electric field, and the total induction charge Q of the upper hemisphere of the spherical electric field sensor is obtained by integrating the surface charge density along the upper surface sphere m

[0062]

[0063] Since |a 2 -2 acosθ|<1, the total induction charge Q m The calculation formula is expanded as a 2 -2 acosθ power series, and the total induction charge Q m The integral in the calculation formula is obtained as follows:

[0064]

[0065] The relationship between the induction charge and the measured electric field strength E m (t) is Q m =C m U m , then:

[0066]

[0067] A near electric induction sensor data processing method, comprising the steps of:

[0068] Collecting electric field analog signal data in the environment;

[0069] Converting the electric field analog signal into a digital signal through an AD analog-to-digital converter;

[0070] Filtering abnormal data in the digital signal through a filtering algorithm;

[0071] Enhancing the filtered digital signal to obtain an amplified digital signal;

[0072] Compressing the amplified repeated digital signal using a field-dependent sequence algorithm;

[0073] Transmitting the compressed digital signal to a monitoring terminal;

[0074] The monitoring terminal decompresses and restores the compressed digital signal according to the algorithm rule during compression;

[0075] Judging whether the decompressed and restored digital signal is out of limit;

[0076] ​Corresponding warnings are issued for values ​​exceeding the limits in different ranges.

[0077] Compared with the prior art, the present invention has the following advantages:

[0078] The collected electric field analog signal data is converted, filtered, enhanced, and compressed before being sent to the monitoring terminal. The monitoring terminal then decompresses and restores the compressed digital signal, reducing the amount of data transmitted by the wireless transmission equipment and network, while not affecting the monitoring terminal's acquisition and processing of near-field induction data. Attached Figure Description

[0079] Figure 1 This is an overall structural block diagram of a proximity sensor data processing system according to an embodiment of the present invention;

[0080] Figure 2 This is a flowchart of a proximity sensor data processing method according to an embodiment of the present invention. Detailed Implementation

[0081] 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.

[0082] like Figure 1 As shown, this embodiment provides a proximity sensor data processing system, including an electric field signal acquisition unit, a signal conversion unit, a signal filtering unit, a signal amplification unit, an electric field signal data compression unit, a wireless transmission unit, an electric field signal data decompression unit, an electric field signal data judgment unit, and an electric field signal data over-limit early warning unit;

[0083] The electric field signal acquisition unit is communicatively connected to the signal conversion unit and is used to acquire simulated electric field signal data in the environment.

[0084] The signal conversion unit is communicatively connected to the signal filtering unit, and converts the analog electric field signal into a digital signal through an AD analog-to-digital converter;

[0085] The signal filtering unit is communicatively connected to the signal amplification unit and uses a filtering algorithm to filter out abnormal data in the digital signal.

[0086] The signal amplification unit is communicatively connected to the electric field signal data compression unit to enhance the filtered digital signal and obtain the amplified digital signal.

[0087] The electric field signal data compression unit is communicatively connected to the wireless transmission unit to compress the amplified repetitive digital signal;

[0088] The wireless transmission unit is communicatively connected to the electric field signal data decompression unit, and transmits the compressed digital signal to the monitoring terminal.

[0089] The electric field signal data decompression unit is in communication connection with the electric field signal data judgment unit, and monitors the terminal to decompress the compressed digital signal according to the compression algorithm;

[0090] The electric field signal data judgment unit is in communication connection with the electric field signal data over-limit early warning unit, and judges whether the decompressed digital signal is over-limit;

[0091] The electric field signal data over-limit early warning unit gives corresponding early warning to the over-limit values in different ranges.

[0092] The electric field signal acquisition unit is a spherical electric field induction sensor, which is composed of a hollow sphere and a measuring capacitor C m The sensing area of the spherical electric field sensor is to divide the surface of the sphere into two parts, and is coated with a metal layer. The two metal sensing layers are insulated from each other, and are connected by C m If the spherical electric field sensor is given in a non-uniform electric field generated by a point charge Q(t), let the space point where the spherical electric field sensor is located be M, and the electric field intensity at M before the spherical electric field sensor is put into the electric field be E m When the spherical electric field sensor is put into the electric field at M, a small amount of charge will be induced on the surface of the two metal hemispheres under the action of the electric field force. These surface microcharges will generate a small voltage on the measuring capacitor C m Through the measurement of this small induced voltage, the electric field intensity E m .

[0093] The electric field analog signal collected by the electric field signal acquisition unit is an electric signal, and the digital signal converted by the signal conversion unit is an electric signal corresponding to an identifiable data value.

[0094] The filtering algorithm is a limiting amplitude filtering algorithm, and the detailed steps of the limiting amplitude filtering algorithm for filtering abnormal data in the digital signal are as follows:

[0095] Determine whether the current collected digital signal and the last collected digital signal have changed in state. If the state has not changed, go to the next step, if the state has changed, determine that the collected digital signal is abnormal;

[0096] Subtract the current collected digital signal from the last collected digital signal to obtain a digital signal difference value;

[0097] Compare the obtained digital signal difference value with the preset maximum deviation value;

[0098] If the obtained digital signal difference value is greater than or equal to the preset maximum deviation value, it is determined that the current collected digital signal is abnormal, this time's collected digital signal is invalid, and the last time's collected normal digital signal is used to replace this time's collected digital signal;

[0099] If the obtained digital signal difference value is less than the preset maximum deviation value, it is determined that the current collected digital signal is normal, and the current collected digital signal is valid.

[0100] The compression process of the electric field signal data compression unit on the amplified digital signal is as follows:

[0101] The amplified digital signal is split into an integer and a floating point;

[0102] The lossless compression algorithm is used for run-length encoding of the integer digital signal to obtain variable data and repetitive data in the integer digital signal.

[0103] The field-dependent sequence algorithm (NCS) is used for compression of the variable data, the repetitive data and the floating point.

[0104] The compressed variable data, the repetitive data and the floating point are converted into ASCII codes.

[0105] The converted ASCII codes are converted into binary codes.

[0106] The converted binary codes are traversed to obtain "0" and "1" code words.

[0107] The Bits of the code words are compared to obtain the optimal compression code word.

[0108] The detailed steps of decompression and restoration of the compressed digital signal in the electric field signal data decompression unit according to the algorithm rules during compression are as follows:

[0109] The compression package code word is identified to obtain the initial traversal value of the code word.

[0110] The reverse "0" traversal is performed to fill "0" in the corresponding position and "1" in the remaining positions.

[0111] The reverse "1" traversal is performed to fill "1" in the corresponding position and "0" in the remaining positions.

[0112] The binary code is restored, and the ASCII code is converted and restored.

[0113] The inverse field-dependent sequence algorithm (NCS) is used for encoding of the ASCII code to obtain variable data, repetitive data and floating points.

[0114] The data is merged to obtain the initial amplified digital signal.

[0115] When the field-dependent sequence algorithm is used for compression of the variable data, the repetitive data and the floating points, the continuity of the data before and after reading the data is first judged, then the traversal based on 0 and 1 is performed on each character of the read data, two code words are generated for each individual character, and finally the code word with the smallest number of bits is selected as the best code word.

[0116] The amplified digital signal is arranged as a matrix array G with a time sequence period, which is an input matrix with a size of m x n, and is expressed as a two-dimensional array, as shown in the following formula:

[0117]

[0118] wherein φ (m，n) is a measured data value of the amplified digital signal, m and n respectively represent a measurement time sequence and a measurement physical quantity, and the total size of the array is mxn=N. For an input sequence with a length of N, the NCS algorithm needs Opt size to store compressed data, as shown in the following formula:

[0119]

[0120] wherein NCS opt represents the number of bits in the code word, in addition, the NCS algorithm needs eight additional control bits C b to obtain the optimal number of bits in the compressed data, and the average number of bits required to store a single character in the monitoring array is:

[0121]

[0122] In the above formula, NCS ch_av is the storage byte amount. Opt size and NCS ch_av , the lower the value, the higher the compression performance of the algorithm. As can be seen from the above formula, the NCS algorithm needs to store a character with a maximum of 4 bits, but the algorithm only needs to store a character with 1 bit in most cases, and the algorithm can achieve better compression effect. The NCS code word construction table is as follows:

[0123]

[0124] The wireless transmission unit transmits the compressed digital signal using the WSNs network.

[0125] The detailed steps of the electric field signal data judgment unit for judging whether the decompressed and restored digital signal is out of limit are as follows:

[0126] The initial amplified digital signal (which is the decompressed and restored digital signal) is compared with the pre-stored electric field intensity of the staff that can enter the monitoring terminal;

[0127] It is judged whether the difference between the initial amplified digital signal and the pre-stored electric field intensity of the staff that can enter the monitoring terminal is within the warning range, if it is within the warning range, the next step is entered, if it is not, the entire data processing process is ended;

[0128] Different difference ranges within the warning range are traversed one by one;

[0129] When the initial amplified digital signal and the pre-stored staff accessible electric field intensity difference of the monitoring terminal fall into a certain difference range of the early warning range, the fallen difference range is sent to the electric field signal data overrun early warning unit;

[0130] The electric field signal data overrun early warning unit carries out corresponding early warning according to the overrun value of different ranges.

[0131] The upper and lower limits of the staff accessible electric field intensity pre-stored in the monitoring terminal are obtained by the electric field intensity calculation of the spherical electric field induction sensor, and the electric field intensity calculation formula is:

[0132]

[0133] Wherein, Q(t) is the surface charge density of the spherical electric field induction sensor, d is the distance from the point charge Q(t) at point A to be measured to the center M of the spherical electric field induction sensor, and ε is the space dielectric constant.

[0134] The surface charge density of the point charge Q(t) on the spherical electric field induction sensor is solved by mirror method, and the mirror method expression is:

[0135]

[0136] Wherein: a=R / d is the non-uniformity coefficient, R is the radius length from the center M of the spherical electric field induction sensor to the spherical surface, ε is the space dielectric constant, s is the area of the induction area, and E m (t) is the field strength of point M before the spherical electric field sensor is put into the electric field, and the surface charge density is integrated along the upper surface of the sphere to obtain the total induced charge Q m of the upper hemisphere of the spherical electric field sensor:

[0137]

[0138] Since |a 2 -2acosθ|<1, the total induced charge Q m The calculation formula is expanded as a 2 -2acosθ power series, and the total induced charge Q m The integral in the calculation formula is carried out to obtain the following results:

[0139]

[0140] From the relationship between the induced charge and the measured electric field strength E m (t), Q m =C m U m , then:

[0141]

[0142] A near electric inductor data processing method, comprising the steps of:

[0143] S1, collecting electric field analog signal data in the environment;

[0144] S2, converting the electric field analog signal into a digital signal through an AD analog-digital converter;

[0145] S3, filtering abnormal data in the digital signal through a filtering algorithm;

[0146] S4, enhancing the filtered digital signal to obtain an amplified digital signal;

[0147] S5, compressing the amplified repeated digital signal by using a field-related sequence algorithm;

[0148] S6, transmitting the compressed digital signal to a monitoring terminal;

[0149] S7, decompressing and restoring the compressed digital signal by the monitoring terminal according to the algorithm rule during compression;

[0150] S8, judging whether the decompressed and restored digital signal is out of limit;

[0151] S9, giving corresponding early warning to the out-of-limit values in different ranges.

[0152] Compared with the prior art, the present application has the following beneficial effects:

[0153] After the collected electric field analog signal data is converted, filtered, enhanced and compressed and then sent to the monitoring terminal, the decompressed and restored digital signal is obtained by the monitoring terminal, so that the transmission data amount of the wireless transmission equipment and network is reduced, and meanwhile the collection and processing of the near electric induction data by the monitoring terminal are not affected.

[0154] The near electric inductor data processing system and method provided by the present application are described in detail above. The description of the specific embodiments is only used to help understand the method and its core idea. It should be pointed out that, for those skilled in the art, without departing from the principles of the present application, some improvements and modifications can be made to the present application, and these improvements and modifications also fall within the protection scope of the present application.

Claims

1. A near electric inductor data processing system, characterized by, The electric field signal acquisition unit, the signal conversion unit, the signal filtering unit, the signal amplification unit, the electric field signal data compression unit, the wireless transmission unit, the electric field signal data decompression unit, the electric field signal data judgment unit and the electric field signal data overrun early warning unit are included. The electric field signal acquisition unit is in communication connection with the signal conversion unit and is used for collecting electric field analog signal data in the environment. The signal conversion unit is in communication connection with the signal filtering unit and converts the electric field analog signal into a digital signal through an AD analog-to-digital converter. The signal filtering unit is in communication connection with the signal amplification unit and filters abnormal data in the digital signal through a filtering algorithm. The signal amplification unit is in communication connection with the electric field signal data compression unit, enhances the filtered digital signal and obtains an amplified digital signal. The electric field signal data compression unit is in communication connection with the wireless transmission unit and compresses the amplified repeated digital signal. The wireless transmission unit is in communication connection with the electric field signal data decompression unit and transmits the compressed digital signal to a monitoring terminal. The electric field signal data decompression unit is in communication connection with the electric field signal data judgment unit, and the monitoring terminal follows the algorithm rules during compression to decompress and restore the compressed digital signal. The electric field signal data judgment unit is in communication connection with the electric field signal data overrun early warning unit and judges whether the decompressed and restored digital signal is overrun. The electric field signal data overrun early warning unit performs corresponding early warning on the overrun values in different ranges.

2. A near electric inductor data processing system according to claim 1, characterized in that, The electric field signal acquisition unit is a spherical electric field induction sensor, which is composed of a hollow sphere and a measurement capacitor. The sensing area of the spherical electric field sensor is to divide the surface of the sphere into two halves and coat it with a metal layer. The two metal sensing layers are insulated from each other and connected by a measurement capacitor inside the sphere.

3. A near electric inductor data processing system according to claim 2, wherein, The electric field analog signal collected by the electric field signal acquisition unit is an electric signal, and the digital signal converted by the signal conversion unit is an electric signal corresponding to identifiable data values.

4. A near electric inductor data processing system according to claim 3, wherein, The filtering algorithm is a limiting amplitude filtering algorithm, and the detailed steps of the limiting amplitude filtering algorithm for filtering abnormal data in the digital signal are as follows: Determine whether there is a change in the state of the current collected digital signal and the last collected digital signal. If there is no change, proceed to the next step. If there is a change, determine that the collected digital signal is abnormal. Subtract the current collected digital signal from the last collected digital signal to obtain a digital signal difference value. Compare the obtained digital signal difference value with a preset maximum deviation value. If the obtained digital signal difference value is greater than or equal to the preset maximum deviation value, it is determined that the current collected digital signal is abnormal, and the current collected digital signal is invalid. Replace the current collected digital signal with the normal digital signal collected at the last time. If the obtained digital signal difference value is less than the preset maximum deviation value, it is determined that the current collected digital signal is normal, and the current collected digital signal is valid.

5. A near electric inductor data processing system according to claim 4, wherein, The compression process of the electric field signal data compression unit on the amplified digital signal is as follows: Split the amplified digital signal into an integer and a floating point. Use a lossless compression algorithm to encode the integer digital signal to obtain variable data and repeated data in the integer digital signal. Use a domain-dependent sequence algorithm to compress the variable data, repeated data and floating point. The compressed variable data, repeated data and floating point are converted into ASCII codes; The converted ASCII codes are converted into binary codes; The converted binary codes are traversed by "0" and "1" to obtain "0" and "1" code words; The Bits of the code words are compared to obtain the optimal compressed code word.

6. A near-eye inductor data processing system according to claim 5, wherein, The compressed digital signal is decompressed and restored in the electric field signal data decompression unit according to the algorithm rule during compression, and the detailed steps are as follows: The compressed code word is identified to obtain the initial traversal value of the code word; The "0" is supplemented in the corresponding position in the reverse "0" traversal, and the rest of the positions are filled with 1; The "1" is supplemented in the corresponding position in the reverse "1" traversal, and the rest of the positions are filled with 0; The binary code is restored, and the ASCII code is converted and restored; The ASCII code is encoded by using the inverse domain correlation sequence algorithm to obtain the variable data, repeated data and floating point; The data is merged to obtain the initial amplified digital signal.

7. A near-eye inductor data processing system according to claim 6, wherein, When the variable data, repeated data and floating point are compressed by the domain correlation sequence algorithm, the continuity of the data before and after reading is first judged, then each character of the read data is traversed based on 0 and 1, two code words are generated for each individual character, and the code word with the smallest number of Bits is finally selected as the optimal code word; Let the matrix array G composed of the amplified digital signal in the time sequence period be an input matrix of size m x n, which is represented as a two-dimensional array, as shown in the following formula: where φ (m，n) is the measured data value of the amplified digital signal, m and n represent the measurement time sequence and the measurement physical quantity, respectively, and the total size of the array is mxn=N. For an input sequence of length N, the NCS algorithm requires Opt size to store the compressed data, as shown in the following equation: where NCS opt represents the number of bits present in the code word, in addition, the NCS algorithm requires eight additional control bits C b to obtain the optimal number of bits in the compressed data, the average number of bits required to store a single character in the monitoring array is: In the above formula, NCS ch_av is the amount of storage bytes.

8. A near-eye inductor data processing system according to claim 7, wherein, The wireless transmission unit transmits the compressed digital signal by using the WSNs network.

9. A near-eye inductor data processing system according to claim 8, wherein, The detailed steps of whether the decompressed and restored digital signal is out of limit in the electric field signal data judgment unit are as follows: The initial amplified digital signal (which is the decompressed and restored digital signal) is subtracted from the staff-enterable electric field intensity pre-stored in the monitoring terminal; It is judged whether the difference between the initial amplified digital signal and the staff-enterable electric field intensity pre-stored in the monitoring terminal is within the warning range, if it is within the warning range, the next step is entered, if it is not, the whole data processing process is ended; The different difference ranges within the warning range are traversed one by one; When the initial amplified digital signal and the staff-enterable electric field intensity pre-stored in the monitoring terminal fall into a certain difference range in the warning range, the fallen difference range is sent to the electric field signal data out-of-limit warning unit; The electric field signal data out-of-limit warning unit performs corresponding warning according to the out-of-limit values in different ranges.

10. A near electric inductor data processing method, characterized by, The steps include: Collecting the electric field analog signal data in the environment; Converting the electric field analog signal into a digital signal by an AD analog-digital converter; Filtering abnormal data in the digital signal by a filtering algorithm; Enhancing the filtered digital signal to obtain an amplified digital signal; Compressing the amplified repeated digital signal by using the domain correlation sequence algorithm; Transmitting the compressed digital signal to the monitoring terminal; Decompressing and restoring the compressed digital signal in the monitoring terminal according to the algorithm rule during compression; Judging whether the decompressed and restored digital signal is out of limit; Performing corresponding warning on the out-of-limit values in different ranges.

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