Remote transmission data processing method

Abstract

The invention discloses a remote transmission data processing method, which comprises the following steps that: 1, a first control unit converts data acquired by a sensor into rectangular waves to obtain an original data signal; 2, the first control unit remotely transmits the original data signal to a second control unit through a cable to become a received data signal; the second control unit samples the received data signal according to the sampling frequency to obtain a data stream; 3, processing the data stream, and screening upper and lower edge data; 4, obtaining a time interval array according to the screened upper and lower edge data; 5, searching an address Bo in the time interval array; 6, determining a to-be-analyzed array according to the address Bo, and identifying each data in the to-be-analyzed array to obtain a to-be-decoded array; 7, Manchester decoding is carried out; and 8, character combination. According to the invention, correct data can be analyzed from a signal subjected to low-frequency interference, so that a correct command can be sent to equipment.

Description

Technical Field

[0001] The invention relates to a data processing method for underground mining equipment, and in particular to a remote transmission data processing method. Background Art

[0002] The downhole monitoring device uses a loop formed by power cables, cable armor and the earth to process the data measured downhole into a carrier wave through analog or digital signals, and sends it to the surface equipment for decoding. The decoded data is used by the surface equipment to control the operation of the submersible pump unit, improve oil and water production efficiency, protect the safety of the unit, and transmit well condition information.

[0003] When the ground equipment processes these carriers, due to the presence of high and low frequency interference on the transmission channel, although there are reactors and low-pass filters at the front end of the ground equipment to block AC signals, when the interference frequency is less than or equal to the signal frequency that can be filtered out by the reactor and low-pass filter, part of the low-frequency interference signal can pass through the reactor and low-pass filter. When using software or hardware to convert high and low levels, an error occurs, converting the original low level into a high level, resulting in data errors. Incorrect data will prevent the equipment from executing commands correctly and reduce equipment production efficiency. When the underground equipment fails, the protection action cannot be issued in time, causing permanent damage to the underground equipment.

[0004] In addition, when decoding the signal, the ground equipment must determine the high and low levels of the signal, and then convert it into binary data of 0 and 1, while recording the duration of the high and low levels. In addition, the information to be decoded must be captured by the microprocessor, so there are strict restrictions on the level of the captured signal, such as the high level of the signal must be higher than a value, usually 0.7V DD , the low level of the signal is less than or equal to 0.3V DD When the signal to be decoded contains a DC component that exceeds the high and low level requirements, the signal is not a regular rectangular wave, or there is a nonlinear phase delay, it will cause the problem of being unable to decode. Summary of the invention

[0005] The technical problem to be solved by the present invention is to provide a remote transmission data processing method, which can parse correct data from a signal interfered by low frequency, so that a controller can send a correct command to a device.

[0006] In order to solve the above technical problems, the technical solution of the remote transmission data processing method of the present invention is to include the following steps:

[0007] In the first step, the sensor transmits the collected data to the first control unit, and the first control unit converts the data into a rectangular wave to obtain an original data signal; the original data signal has an original signal frequency;

[0008] In the second step, the first control unit remotely transmits the original data signal to the second control unit via a cable to become a received data signal; the second control unit samples the received data signal according to a sampling frequency to obtain a data stream consisting of multiple data;

[0009] In another embodiment, the sampling frequency in the second step is 30 to 50 times the frequency of the original signal; the second control unit samples the received data signal in the following manner: determining a sampling period according to the sampling frequency, and sampling once in each sampling period.

[0010] The third step is to process the data stream collected by the second control unit to filter out rising edge data and falling edge data;

[0011] In another embodiment, the method for processing the data stream in the third step is:

[0012] The data collected by the second control unit are sequentially placed into D addresses; then the first data collected first is discarded, and the data on the subsequent addresses are moved forward one grid, so that the last address is vacant and the newly collected data is placed thereafter; the sampling is repeated in this way, so that all the data collected by the second control unit are sequentially moved from the last address of the D addresses to the first address;

[0013] During the dynamic movement of all the data collected by the second control unit from the last address of the D addresses to the first address, the adjacent data on the D addresses are compared; when the data on the D addresses meet the condition that the preceding data on the adjacent addresses are smaller than the succeeding data, the D data on the D addresses at this moment are taken as the first array, and the first array is the rising edge data in the received data signal curve;

[0014] Continue to compare the adjacent data at the D addresses; when the data at the D addresses meet the condition that the preceding data at the adjacent addresses is greater than the succeeding data, use the D data at the D addresses at this moment as the second array, which is the falling edge data in the received data signal curve;

[0015] Continuously comparing the adjacent data at the D addresses; and filtering out rising edge data and falling edge data from the data stream.

[0016] In another embodiment, the D is 5-15.

[0017] The fourth step is to record the time interval between the rising edge and the falling edge in the rising edge data and the falling edge data; the time interval between the rising edge and the falling edge in the rising edge data and the falling edge data is recorded as X 2n , the time interval between the falling edge and the rising edge is recorded as X 2n+1, where n is an integer; the time interval values ​​are arranged in order to form a time interval array B;

[0018] Step 5, synchronization frame identification; determine the size of each data in the time interval array B in turn, find the first data between 0.75*T1 and 1.25*T1, and record the address of the data as Bo; where T1 is the original signal period, and the original signal period is the reciprocal of the original signal frequency;

[0019] Step 6: Binary data recognition;

[0020] The data at the address Bo+1 in the time interval array B and all the data thereafter are taken as the array to be parsed, each data in the array to be parsed is identified, and the size of each data is judged in turn until all the data are identified, thereby obtaining the array C to be decoded;

[0021] In another embodiment, the identification method of the sixth step is:

[0022] When the data value at address Bo+n satisfies the condition between 0.75*T1 and 1.25*T1, 0 and 0 are placed in the first and second addresses of the array C to be decoded respectively, otherwise 0 is placed in the first address of the array C to be decoded; wherein n is an odd number;

[0023] When the data value at address Bo+m satisfies the condition between 0.75*T1 and 1.25*T1, 1 and 1 are placed in the next two addresses of the array C to be decoded respectively, otherwise 1 is placed in the next address of the array C to be decoded; where m is an even number.

[0024] Step 7, Manchester decoding;

[0025] Using Manchester decoding method, decode the array C to be decoded to obtain the parsing array Z;

[0026] In another embodiment, the decoding method of the seventh step is: group the array C to be decoded into multiple binary number sequences in pairs, when the binary number sequence is 0 or 1, it is recorded as 1; when the binary number sequence is 1 or 0, it is recorded as 0; the binary codes converted from the multiple binary number sequences are placed in each address of the analysis array Z in turn to obtain the analysis array Z.

[0027] In another embodiment, during the decoding process of the seventh step, if a binary number sequence of 0, 0 or 1, 1 is encountered, an abnormal signal is directly output.

[0028] Step 8: word combination;

[0029] All data in the analysis array Z are grouped into a plurality of words, each word being a binary number; the binary number is converted into a decimal number, and the decimal number is the corrected data.

[0030] In another embodiment, in the eighth step, every 16 data in the parsed array Z are grouped into one word.

[0031] In another embodiment, the last word among the multiple words obtained in the eighth step is used as a check code; the check code is used to check all the previous binary numbers, and the data after the check is completed is the correct data.

[0032] In another embodiment, the remote distance is more than 1000 meters.

[0033] The technical effects that can be achieved by the present invention are:

[0034] The present invention can still correctly decode the data after the downhole data is disturbed during the transmission process. The controller can send correct instructions to the equipment according to the data signal parsed by the present invention, so that the downhole equipment can correctly execute the command and improve the production efficiency of the equipment. When the downhole equipment fails, the controller can send a protection action instruction to the equipment in time according to the data signal parsed by the present invention to avoid the failure causing permanent damage to the downhole equipment.

[0035] The present invention is not restricted by high and low levels during the decoding process, has great tolerance to nonlinear phase delay on the signal, has a small amount of data processing during the decoding process, and has low bandwidth requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] It should be understood by those skilled in the art that the following description is only intended to schematically illustrate the principles of the present invention, which can be applied in a variety of ways to achieve many different alternative embodiments. These descriptions are only intended to illustrate the general principles of the teachings of the present invention and are not intended to limit the inventive concepts disclosed herein.

[0037] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and, together with the general description above and the detailed description of the drawings that follow, serve to explain the principles of the invention.

[0038] The present invention is further described in detail below with reference to the accompanying drawings and specific embodiments:

[0039] Figure 1 It is a schematic diagram of downhole data signals;

[0040] Figure 2 It is a schematic diagram of the well data signal affected by low frequency interference;

[0041] Figure 3 It is a schematic diagram of the sampling points of the well data signal;

[0042] Figure 4 It is a schematic diagram of filtering data from the well data signal;

[0043] Figure 5 It is a schematic diagram of the time interval of the well data signal;

[0044] Figure 6 is a schematic diagram of the time interval array B;

[0045] Figure 7 It is a schematic diagram of the analysis of the time interval array B;

[0046] Figure 8 is a schematic diagram of Manchester decoding of the array C to be decoded;

[0047] Fig. 9 is a schematic diagram of the analytical array Z. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solution and advantages of the embodiment of the present invention clearer, the technical solution of the embodiment of the present invention will be clearly and completely described in conjunction with the drawings of the embodiment of the present invention. Obviously, the described embodiment is a part of the embodiment of the present invention, not all of the embodiments. Based on the described embodiment of the present invention, all other embodiments obtained by ordinary technicians in the field without creative work belong to the scope of protection of the present invention. Unless otherwise defined, the technical terms or scientific terms used herein should be understood by people with ordinary skills in the field to which the present invention belongs. "First", "second" and similar words used in this article do not indicate any order, quantity or importance, but are only used to distinguish different components. "Including" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects.

[0049] The remote transmission data processing method of the present invention comprises the following steps:

[0050] In the first step, the downhole sensor collects data from the equipment downhole and transmits the collected data to the downhole MCU (Micro controller Unit) (i.e., the first control unit). The downhole MCU converts the data into a rectangular wave with high and low changes to obtain a downhole data signal (i.e., the original data signal);

[0051] Downhole data signals such as Figure 1As shown, its frequency is the downhole signal frequency (i.e. the original signal frequency), and its reciprocal is the downhole signal period; the downhole signal frequency is determined by the equipment operating frequency;

[0052] In the second step, the downhole MCU transmits the downhole data signal to the surface MCU (i.e., the second control unit) through the power cable, which becomes the uphole data signal (i.e., the received data signal); the surface MCU performs ADC (Analog to Digital Converter) sampling on the uphole data signal at a fixed frequency;

[0053] Because the downhole equipment is more than 1000 meters away from the ground, the downhole data signal is distorted due to low-frequency interference when it is transmitted to the ground, that is, the uphole data signal is not exactly the same as the downhole data signal, but its frequency remains basically unchanged (i.e. Figure 2 The waveform shown is similar to Figure 1 The waveforms shown are different, but the frequencies of the two are essentially the same).

[0054] The sampling method of the ground MCU for the well data signal is as follows:

[0055] Determine the sampling frequency; preferably, the sampling frequency of the surface MCU is 30 to 50 times the downhole signal frequency; the data obtained by using this sampling frequency can truly reflect the status of the equipment;

[0056] The sampling period is determined according to the sampling frequency; sampling is performed once in each sampling period, and the ground MCU continuously samples to obtain a data stream consisting of multiple data, such as Figure 3 D0, D1, D2, D3, D4, D5, ... shown;

[0057] The third step is to process the data collected by the ground MCU and filter out valid data;

[0058] The screening method is:

[0059] The data collected by the ground MCU is sequentially placed into D addresses; then the data D0 collected first at address m1 is discarded, and the data at the subsequent addresses are moved forward one grid, so that the last address m6 is vacant and the newly collected data Dx is placed, and the sampling is cyclically performed so that all the data collected by the ground MCU moves from the last address of D addresses to the first address and finally leaves; preferably, D can be 5 to 15;

[0060] In this process, the adjacent data at the D addresses are compared; if the data at each address meets the requirement that the preceding data at the adjacent address is smaller than the succeeding data, then all the data at the D addresses meet the screening condition at this moment, and the D data at the D addresses are taken as the first array A, and the first array A is the rising edge in the well data signal curve;

[0061] Continue to compare the sizes of adjacent data at these D addresses; if the data at each address meets the condition that the data in the previous address is greater than the data in the subsequent address for adjacent addresses, then all the data at the D addresses at this moment meets the screening condition, and these D data at the D addresses are used as the second array A, and this second array A is the falling edge in the wellhead data signal curve;

[0062] Repeat the above operations to screen out the rising edge and the falling edge from the wellhead data signal;

[0063] As a specific embodiment, as Figure 4 shown, first sequentially put the 6 data D0 to D5 collected by the ground MCU into these 6 addresses m1 to m6; then discard the data D0 at address m1, move the data D1 forward to address m1, move the data D2 forward to address m2, and so on. After address m6 is vacated, put the newly collected data DX into it, and sample in this way in a loop;

[0064] During this process, compare the sizes of adjacent data at the 6 addresses; only when the data at the 6 addresses m1 to m6 meets the screening condition of D0 < D1 < D2 < D3 < D4 < D5 at a certain moment, then use this D0, D1, D2, D3, D4, D5 as the first array A, and this first array A is the rising edge in the wellhead data signal curve;

[0065] Continue to compare the sizes of adjacent data at these 6 addresses; when the data at the 6 addresses m1 to m6 meets the screening condition of D0 > D1 > D2 > D3 > D4 > D5 at a certain moment, then use this D0, D1, D2, D3, D4, D5 as the second array A, and this second array A is the falling edge in the wellhead data signal curve;

[0066] The present invention screens and processes the received downhole data signal through the ground MCU, and the obtained wellhead data signal curve can truly reflect the state of the equipment.

[0067] The present invention samples and processes the received downhole data signal through the ground MCU, and does not require the wellhead data signal curve to have high and low levels. Even if it is affected by low-frequency interference, it will not affect the data acquisition result and will not cause incorrect data.

[0068] Fourth step, record the time interval between the rising edge and the falling edge in the wellhead data signal curve; record the time interval between the rising edge and the falling edge of the wellhead data signal curve as X 2n , record the time interval between the falling edge and the rising edge as X 2n+1 , where n is 0, 1, 2, 3..., as Figure 5 shown;

[0069] Put the time interval values ​​into the time interval array B in order, such as Figure 6 As shown; when n is 0, there are X0 and X1 in one cycle; when n is 1, there are X2 and X3 in one cycle; and so on.

[0070] Step 5: Synchronous frame identification;

[0071] Determine the size of each value in the time interval array B in turn, find the first data between 0.75*T1 and 1.25*T1 (T1 is the period of the downhole signal), and confirm the address of the data; record the address of the data as Bo, and Bo is the synchronization address.

[0072] Step 6: Binary data recognition;

[0073] The data at the address Bo+1 in the time interval array B (i.e., the next address adjacent to the address Bo) and all the data thereafter are taken as the time interval array B1 to be analyzed, and each data in the time interval array B1 to be analyzed is analyzed, and the size of each data is determined in turn. The specific method is as follows:

[0074] like Figure 7 As shown, if the data value at the address Bo+n (n=1, 3, 5...odd number) in the time interval array B1 to be analyzed meets the condition of being between 0.75*T1 and 1.25*T1, 0 and 0 are respectively placed in the first and second addresses of the array C to be decoded, otherwise 0 is placed in the first address of the array C to be decoded;

[0075] If the data value at address Bo+m (m=2, 4, 6...even number) in the time interval array B1 to be analyzed meets the condition of being between 0.75*T1 and 1.25*T1, then 1 and 1 are placed in the next two addresses of the array C to be decoded respectively, otherwise 1 is placed in the next address of the array C to be decoded; until all data are identified and the array C to be decoded is obtained.

[0076] In such Figure 8 In the embodiment shown, if the data at the address Bo+1 in the time interval array B1 to be parsed is not between 0.75*T1 and 1.25*T1, the data at the first address c1 of the array C to be decoded is 0;

[0077] The data value at address Bo+2 in the time interval array B1 to be parsed meets the condition of being between 0.75*T1 and 1.25*T1, then the second and third addresses c2 and c3 of the array C to be decoded are 1 and 1 respectively;

[0078] The data at address Bo+3 in the time interval array B1 to be parsed is not between 0.75*T1 and 1.25*T1, so the fourth address c4 of the array C to be decoded is 0;

[0079] If the data value at address Bo+4 in the time interval array B1 to be parsed is not between 0.75*T1 and 1.25*T1, the fifth address c5 of the array C to be decoded is 1;

[0080] The data at address Bo+5 in the time interval array B1 to be parsed meets the condition of being between 0.75*T1 and 1.25*T1, and the sixth and seventh addresses c6 and c7 of the array C to be decoded are 0 and 0 respectively;

[0081] If the data value at address Bo+6 in the to-be-decoded time interval array B1 is not between 0.75*T1 and 1.25*T1, the eighth address c8 of the to-be-decoded array C is 1.

[0082] Although the frequencies of the uphole data signal and the downhole data signal are not exactly the same, they remain slightly different. The present invention further screens the data through the step of synchronous frame recognition and analyzes the data through the step of binary data recognition, thereby solving the influence of data on the frequency during remote transmission.

[0083] Step 7, Manchester decoding;

[0084] Using Manchester decoding method, decode the array C to be decoded to obtain the parsing array Z;

[0085] The array C to be decoded is divided into multiple binary sequences in pairs. If the sequence is 0 and 1, it is recorded as 1; if the sequence is 1 and 0, it is recorded as 0; and so on to obtain the data in the parsing array Z;

[0086] If the sequence is 0, 0 or 1, 1, an abnormal signal is directly output;

[0087] Step 8: word combination;

[0088] Group all the data in the analysis array Z into words, with every 16 data z1 to z16 forming a word, and each word being a binary number; convert the binary number into a decimal number, which is the calibrated sensor measurement result;

[0089] In such Fig. 9 In the embodiment shown, address z1 is the lowest bit of the word data, and every 16 0s or 1s form a binary number, which is converted into a decimal number of 22697; 22697 is the corrected measurement value.

[0090] Preferably, the last word in the parsing array Z can be used as a check code to check all the previous data. The data after the check is correct data. The ground control cabinet can read various data in the ground equipment through the 485 bus to control the operation of the submersible pump.

[0091] The present invention can be used for sensors of underground mining equipment, such as pressure sensors and temperature sensors. Since the downhole data (such as pressure values ​​and temperature values) collected by the sensors located downhole will be distorted when transmitted to the ground, the present invention processes the distorted data according to the characteristics of the downhole equipment, so that the data collected by the downhole sensors can truly reflect the situation of the equipment.

[0092] Of course, the present invention can also be used for sensors that require long-distance transmission (eg, a distance of more than 1000 meters).

[0093] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these changes and modifications.

Claims

1. A remote transmission data processing method, characterized in that: The following steps are involved: In the first step, the first control unit converts the data collected by the sensor into a rectangular wave to obtain an original data signal; the original data signal has an original signal frequency; In the second step, the first control unit remotely transmits the original data signal to the second control unit via a cable to become a received data signal; the second control unit samples the received data signal according to a sampling frequency to obtain a data stream consisting of multiple data; The third step is to process the data stream collected by the second control unit to filter out rising edge data and falling edge data; The fourth step is to obtain a time interval array according to the rising edge data and the falling edge data; The fifth step is synchronization frame identification, finding the address Bo in the time interval array; Step 6: Binary data recognition; Determine the array to be parsed according to the address Bo, identify each data in the array to be parsed, and obtain the array to be decoded; Step 7, Manchester decoding; Using the Manchester decoding method, the array to be decoded is decoded to obtain a parsed array; Step 8: word combination; All data in the analysis array are grouped into a plurality of words, each word being a binary number; the binary number is converted into a decimal number, and the decimal number is the corrected data.

2. The remote transmission data processing method according to claim 1, characterized in that: The sampling frequency in the second step is 30 to 50 times the frequency of the original signal; the second control unit samples the received data signal in the following manner: determining a sampling period according to the sampling frequency, and sampling once in each sampling period.

3. The remote transmission data processing method according to claim 1, characterized in that: The third step is to process the data stream as follows: The data collected by the second control unit are sequentially placed into D addresses; then the first data collected is discarded, and the data on the subsequent addresses are moved forward one grid, so that the last address is vacant and the newly collected data is placed therein; The sampling is performed in this way, so that all the data collected by the second control unit moves from the last address of the D addresses to the first address in sequence; During the dynamic movement of all the data collected by the second control unit from the last address of the D addresses to the first address, the adjacent data on the D addresses are compared; when the data on the D addresses meet the condition that the preceding data on the adjacent addresses are smaller than the succeeding data, the D data on the D addresses at this moment are taken as the first array, and the first array is the rising edge data in the received data signal curve; Continue to compare the adjacent data at the D addresses; when the data at the D addresses meet the condition that the preceding data at the adjacent addresses is greater than the succeeding data, use the D data at the D addresses at this moment as the second array, which is the falling edge data in the received data signal curve; Continuously comparing the adjacent data at the D addresses; and filtering out rising edge data and falling edge data from the data stream.

4. The remote transmission data processing method according to claim 1, characterized in that: The specific method of the fourth step is: record the time interval between the rising edge and the falling edge in the rising edge data and the falling edge data; record the time interval between the rising edge and the falling edge in the rising edge data and the falling edge data as X 2n , the time interval between the falling edge and the rising edge is recorded as X 2n+1 , where n is an integer; the time interval values ​​are arranged in order to form a time interval array B.

5. The remote transmission data processing method according to claim 1, characterized in that: The specific method of the fifth step is: determine the size of each data in the time interval array B in turn, find the first data between 0.75*T1 and 1.25*T1, and record the address of the data as Bo; wherein T1 is the original signal period, and the original signal period is the inverse of the original signal frequency.

6. The remote transmission data processing method according to claim 1, characterized in that: The specific method of the sixth step is: take the data at the address Bo+1 in the time interval array B and all the data thereafter as the array to be parsed, identify each data in the array to be parsed, and determine the size of each data in turn until all the data are identified, thereby obtaining the array C to be decoded.

7. The remote transmission data processing method according to claim 6, characterized in that: The identification method in the sixth step is: When the data value at address Bo+n satisfies the condition between 0.75*T1 and 1.25*T1, 0 and 0 are placed in the first and second addresses of the array C to be decoded respectively, otherwise 0 is placed in the first address of the array C to be decoded; wherein n is an odd number; When the data value at address Bo+m satisfies the condition between 0.75*T1 and 1.25*T1, 1 and 1 are placed in the next two addresses of the array C to be decoded respectively, otherwise 1 is placed in the next address of the array C to be decoded; where m is an even number.

8. The remote transmission data processing method according to claim 1, characterized in that: The decoding method of the seventh step is: group the array C to be decoded into multiple binary number sequences in pairs, when the binary number sequence is 0 or 1, it is recorded as 1; when the binary number sequence is 1 or 0, it is recorded as 0; the binary codes converted from the multiple binary number sequences are sequentially placed in each address of the analysis array Z to obtain the analysis array Z; During the decoding process of the seventh step, if the binary number sequence is 0, 0 or 1, 1, an abnormal signal is directly output.

9. The remote transmission data processing method according to claim 1, characterized in that: Using the last word among the multiple words obtained in the eighth step as a check code; The verification code is used to verify all the previous binary numbers, and the data after the verification is completed is the correct data.

10. The remote transmission data processing method according to claim 1, characterized in that: The remote distance is more than 1000 meters.

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