Wireless electromagnetic wave short transmission method and related equipment

Abstract

The invention discloses a wireless electromagnetic wave short transmission method and related equipment, and relates to the technical field of signal transmission, and the method comprises the steps: calculating a transmission frequency range and optimizing transmission power based on underground data; generating a modulation signal based on a main transmission frequency and the optimized transmission power, the main transmission frequency being determined based on the transmission frequency range; generating a compensation signal based on a dynamic compensation function and the modulation signal; sequentially executing frequency domain conversion, filtering and demodulation operations based on the compensation signal, and extracting original data; and generating target decoded data based on an integrity check function and the original data.

Description

Technical Field

[0001] The present application relates to the technical field of signal transmission, and in particular to a wireless electromagnetic wave short-distance transmission method and related equipment. Background Art

[0002] Signal transmission in complex underground environments is one of the key technologies for achieving real-time monitoring and control near the drill bit. However, existing underground signal transmission methods such as cable transmission or acoustic wave transmission face many problems in practical applications. On the one hand, cable transmission relies on complex physical connections, which is not only susceptible to damage from the high temperature and high pressure environment underground, but also increases equipment maintenance costs; on the other hand, acoustic wave transmission has poor stability in high-noise environments and is greatly affected by the mud medium underground, resulting in significant signal attenuation, making it difficult to achieve efficient long-distance transmission. In addition, traditional transmission technologies generally have insufficient anti-interference capabilities, and are affected by various factors such as underground mechanical vibration and electromagnetic interference, making it difficult to guarantee the quality and reliability of the transmitted signal.

[0003] Wireless electromagnetic wave short transmission technology has gradually become a research hotspot for downhole signal transmission because it does not require physical connection and can adapt to complex environments. However, due to the high conductivity and high attenuation characteristics of downhole mud, the energy loss of the signal during propagation is serious, and random noise and interference put forward higher requirements for signal extraction. Therefore, a wireless electromagnetic wave short transmission method is urgently needed to solve the above problems. Summary of the invention

[0004] A series of simplified concepts are introduced in the Summary of the Invention section, which will be further described in detail in the Detailed Description of the Invention section. The Summary of the Invention section of this application does not mean to attempt to define the key features and essential technical features of the claimed technical solution, nor does it mean to attempt to determine the scope of protection of the claimed technical solution.

[0005] In a first aspect, the present application provides a wireless electromagnetic wave short transmission method, comprising:

[0006] Calculate the transmission frequency range and optimize the transmission power based on downhole data;

[0007] Generate a modulated signal based on a main transmission frequency and the optimized transmission power, wherein the main transmission frequency is determined based on the transmission frequency range;

[0008] Generate a compensation signal based on the dynamic compensation function and the modulation signal;

[0009] Based on the above-mentioned compensation signal, frequency domain conversion, filtering and demodulation operations are performed in sequence to extract original data;

[0010] Based on the integrity check function and the above original data, target decoded data is generated.

[0011] In a feasible implementation manner, the above-mentioned optimized transmission power is determined based on the following formula:

[0012]

[0013] Among them, P opt is to optimize the transmission power; k is the proportional constant; d is the well depth; σ is the conductivity; α eff is the attenuation factor, denoted as α eff =α(f mean );f mean The main transmission frequency is determined based on the mean value of the transmission frequency range;

[0014]

[0015] Among them, μ r is the relative magnetic permeability; ∈ r is the dielectric constant; σ is the conductivity.

[0016] In a feasible implementation manner, the generating of the modulation signal based on the main transmission frequency and the optimized transmission power includes:

[0017] Based on the main transmission frequency and the above-mentioned optimized transmission power, a basic waveform is constructed to obtain a basic signal;

[0018] Based on the Fourier transform and the above basic signal, determine the frequency domain signal;

[0019] Based on the modulation factor, optimizing the frequency domain signal;

[0020] Based on the inverse Fourier transform and the optimized frequency domain signal, an optimized time domain signal is obtained;

[0021] A modulated signal is generated based on the compensation term and the optimized time domain signal.

[0022] In a feasible implementation manner, the above-mentioned generating a compensation signal based on the dynamic compensation function and the above-mentioned modulation signal includes:

[0023] Constructing a dynamic compensation function, wherein the dynamic compensation function is determined based on the attenuation factor and the well depth;

[0024] Normalizing the above dynamic compensation function to obtain a normalized dynamic compensation function;

[0025] Based on the normalized dynamic compensation function, the modulated signal is corrected to generate a compensation signal.

[0026] In a feasible implementation manner, based on the above-mentioned compensation signal, frequency domain conversion, filtering and demodulation operations are sequentially performed to extract original data, including:

[0027] receiving the above-mentioned compensation signal and converting it into a frequency domain distribution;

[0028] Performing a filtering operation on the above frequency domain distribution to obtain a filtered frequency domain signal;

[0029] Performing inverse Fourier transform on the filtered frequency domain signal to obtain a demodulated signal;

[0030] Effective information is extracted from the above demodulated signal to obtain original data.

[0031] In a feasible implementation manner, the generating target decoded data based on the integrity check function and the original data includes:

[0032] Based on the above original data and main frequency compensation data, generate fused data;

[0033] Generate target decoding data based on the above fused data and the probability distribution of the received signal;

[0034] Upload the above target decoding data to the ground equipment to complete the signal transmission process.

[0035] In a feasible implementation, it also includes:

[0036] Based on multimodal sensor data, the transmission frequency range and the parameters of the dynamic compensation function are dynamically adjusted, wherein the multimodal sensor data includes noise signals, electromagnetic environment change data and equipment operation status data collected in real time underground.

[0037] In a second aspect, the present application proposes a wireless electromagnetic wave short transmission device, comprising:

[0038] A downhole data acquisition unit, used to calculate the transmission frequency range and optimize the transmission power based on the downhole data;

[0039] A modulation signal generating unit, configured to generate a modulation signal based on a main transmission frequency and the above-mentioned optimized transmission power, wherein the above-mentioned main transmission frequency is determined based on the above-mentioned transmission frequency range;

[0040] A compensation signal generating unit, used for generating a compensation signal based on a dynamic compensation function and a modulation signal;

[0041] An original data extraction unit, used to perform frequency domain conversion, filtering and demodulation operations in sequence based on the above-mentioned compensation signal to extract original data;

[0042] The decoded data generating unit is used to generate target decoded data based on the integrity check function and the original data.

[0043] In a third aspect, an electronic device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is configured to implement the steps of any one of the electromagnetic wave short transmission methods of the first aspect when executing the computer program stored in the memory.

[0044] In a fourth aspect, the present application further proposes a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the wireless electromagnetic wave short transmission method of any one of the first aspects is implemented.

[0045] In summary, the embodiment of the present application significantly improves the efficiency and quality of signal transmission by dynamically optimizing the transmission frequency and power and combining the signal compensation design in the frequency domain and time domain. Based on the physical properties of the transmission medium, such as the conductivity of the mud fluid, the well depth and other parameters, the optimized frequency range can effectively reduce the attenuation of the signal in a complex environment, and at the same time, the transmission power is reasonably allocated to the main frequency band to ensure that the signal energy is concentrated within the optimal propagation range, thereby increasing the transmission distance and signal coverage. In addition, the method adopts adaptive waveform modulation technology, and by adjusting the waveform parameters and compensation functions, the signal can dynamically adapt to the random noise and various interferences in the downhole environment to achieve higher stability and anti-interference ability. In terms of signal reception and processing, the embodiment of the present application designs a multimodal signal fusion and dynamic compensation model, which can efficiently extract effective information and suppress useless interference, thereby significantly improving the fidelity and decoding accuracy of the signal. At the same time, by introducing an integrity check mechanism, combining historical data with real-time data for joint analysis and optimization, the accumulation of decoding errors is effectively avoided, ensuring the integrity and reliability of the target data. This method breaks through the limitations of traditional cable or sound wave transmission, does not rely on complex physical connections, can adapt to harsh environments such as high temperature, high pressure, and high noise, and has strong practicality and flexibility. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present specification. Also, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0047] Figure 1 A schematic diagram of a wireless electromagnetic wave short transmission method provided in an embodiment of the present application;

[0048] Figure 2 A schematic diagram of the structure of a wireless electromagnetic wave short transmission device provided in an embodiment of the present application;

[0049] Figure 3 A schematic diagram of the structure of a wireless electromagnetic wave short transmission method device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0050] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices. The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments.

[0051] See also Figure 1 , is a flow chart of a wireless electromagnetic wave short transmission method provided in an embodiment of the present application, which may specifically include:

[0052] S110, calculating the transmission frequency range and optimizing the transmission power based on the downhole data;

[0053] Exemplarily, step S110 is to obtain key environmental data through downhole sensors, and calculate a suitable transmission frequency range and optimize transmission power based on these data to ensure that the signal can be propagated stably and efficiently in a complex downhole environment.

[0054] After obtaining the above data, the characteristics of the transmission medium are described using a pre-established physical model. According to the conductivity of the mud and the well depth, the attenuation factor of the electromagnetic wave at different frequencies can be calculated, thereby determining an optimal transmission frequency range. The lower and upper limits of the frequency range are determined by physical parameters such as the dielectric constant, relative magnetic permeability, and conductivity of the mud, respectively, to ensure that the selected frequency can effectively penetrate the medium and minimize the energy loss of the signal during propagation. Then, based on the calculated frequency range, the transmission power is further optimized. The purpose of optimizing the transmission power is to reasonably allocate energy and avoid unnecessary power waste while ensuring the signal coverage and transmission stability. The optimization process usually involves balancing the energy distribution and transmission efficiency of the signal, and adjusting the power output so that the signal can achieve the best propagation effect within the selected frequency range.

[0055] Through the dynamic calculation and optimization of step S110, the system can flexibly adjust the transmission parameters according to the real-time changes in the underground environment, significantly improving the transmission performance of wireless electromagnetic waves in complex media. This not only effectively reduces signal attenuation and energy loss, but also enhances the system's resistance to environmental interference.

[0056] S120, generating a modulated signal based on a main transmission frequency and the optimized transmission power, wherein the main transmission frequency is determined based on the transmission frequency range;

[0057] Exemplarily, based on the main transmission frequency and optimized transmission power determined in step S110, a modulated signal suitable for a complex underground environment is generated. First, a basic waveform is constructed according to the main transmission frequency and the optimized transmission power to obtain a basic signal. The basic waveform is usually in the form of a sine wave or other suitable waveform to ensure that the signal has good spectral characteristics and energy concentration during transmission. In this way, the basic signal can be effectively propagated within the selected main frequency band, while reducing energy leakage in other frequency bands, thereby improving the transmission efficiency and anti-interference ability of the signal.

[0058] Next, the system performs a Fourier transform on the base signal and converts it to the frequency domain so that the signal's spectrum can be finely optimized. In the frequency domain, the frequency domain signal is adjusted based on the preset modulation factor to optimize its spectral distribution. This process involves enhancing the signal energy near the main transmission frequency while suppressing unnecessary frequency components to reduce the interference and noise effects of the signal during transmission. The optimized frequency domain signal is converted back to the time domain through an inverse Fourier transform to obtain an optimized time domain signal. Finally, the dynamic compensation term is combined to generate the target's modulated signal. The dynamic compensation term is adjusted according to the environmental parameters to offset the impact of the downhole medium on signal propagation and ensure the stability and reliability of the modulated signal in complex environments.

[0059] S130, generating a compensation signal based on the dynamic compensation function and the above-mentioned modulation signal;

[0060] Exemplarily, a dynamic compensation function is used to adjust the previously generated modulation signal to generate a compensation signal to effectively offset the energy attenuation and random interference generated during signal propagation in the downhole environment. First, the system constructs a dynamic compensation function based on the mud parameters obtained in step S110. The dynamic compensation function reflects the attenuation characteristics of electromagnetic waves when propagating in the mud, and is dynamically adjusted according to actual environmental conditions. In order to ensure the consistency and stability of the compensation effect, the dynamic compensation function needs to be normalized, that is, the amplitude range of the compensation function is adjusted to a predetermined standard range to avoid excessive amplification or weakening of the signal.

[0061] After completing the normalization of the dynamic compensation function, the system applies it to the modulated signal to generate a compensation signal. The normalized dynamic compensation function is multiplied point by point with the modulated signal to correct the amplitude and phase of the modulated signal to compensate for the distortion and attenuation caused by the change of medium characteristics during the transmission of the signal. This process not only enhances the transmission stability of the signal, but also significantly improves the anti-interference ability of the signal, enabling it to maintain a high transmission quality in the highly conductive and highly attenuated mud medium.

[0062] S140, based on the above-mentioned compensation signal, perform frequency domain conversion, filtering and demodulation operations in sequence to extract original data;

[0063] Exemplarily, step S140 is to accurately extract the original data from the compensation signal, and this process includes performing frequency domain conversion, filtering and demodulation operations in sequence. First, the compensation signal is processed by a frequency domain conversion module, and a fast Fourier transform is usually used to convert the time domain signal into a frequency domain representation. This conversion allows the spectral characteristics of the signal to be revealed, which helps to identify and analyze the main frequency components in the signal and their distribution. Through frequency domain conversion, useful information in the signal can be effectively separated from noise, laying the foundation for subsequent filtering operations.

[0064] Next, the filtering operation is performed in the frequency domain to eliminate unwanted frequency components and noise interference and retain the effective frequency range that is critical for extracting the original data. The design of the filter is based on the dynamic compensation function generated in step S130 to ensure that the filter can be optimized for the specific interference frequency in the downhole environment.

[0065] Finally, the filtered frequency domain signal is converted back to the time domain through inverse Fourier transform and enters the demodulation stage. In the demodulation operation, the system uses the demodulation algorithm corresponding to the modulation stage to extract the original data from the optimized time domain signal. The demodulation process may include steps such as synchronization, phase recovery and signal reconstruction to ensure that the transmitted information is accurately recovered from the modulated signal. Through this series of frequency domain conversion, filtering and demodulation operations, step S140 can effectively extract high-quality original data from the complex downhole environment, ensuring that the data transmission of the entire wireless electromagnetic wave short transmission system is efficient and reliable.

[0066] S150: Generate target decoded data based on the integrity check function and the original data.

[0067] Exemplarily, step S150 verifies and optimizes the original data extracted in step S140 through an integrity check function to generate target decoded data. This process first merges the original data with the main frequency compensation characteristics and other relevant information of the transmission signal to eliminate potential errors caused by signal attenuation or distortion.

[0068] After completing the data fusion, the system introduces an integrity check function to verify the consistency and correctness of the fused data. The integrity check function calculates the check value by comparing each element of the fused data with the predefined reference data. If the check value is lower than the set threshold, the data is considered to have passed the integrity check to ensure its reliability; otherwise, the system will trigger a mechanism to adjust the fusion process and recalibrate the data to meet the integrity requirements. This verification mechanism effectively prevents data errors caused by environmental interference or abnormal conditions during the transmission process, and ensures the high accuracy of the target decoded data.

[0069] Finally, based on the probability distribution of the fused data and the received signal, the system uses a joint probability distribution model to generate the target's decoded data. The model combines the conditional probabilities of the fused data and the received signal, as well as the results of the integrity check function, and balances the influence of the probability distribution and the check result through the weight factor, thereby generating comprehensive and reliable decoded data. This process not only ensures the integrity and consistency of the data, but also improves the system's anti-interference ability and the stability of data transmission in complex underground environments. Through step S150, the entire wireless electromagnetic wave short transmission system realizes an efficient closed loop from signal reception to data decoding, ensuring the accuracy of the transmitted information and the overall reliability of the system.

[0070] In summary, the embodiment of the present application significantly improves the efficiency and quality of signal transmission by dynamically optimizing the transmission frequency and power and combining the signal compensation design in the frequency domain and time domain. Based on the physical properties of the transmission medium, such as the conductivity of the mud fluid, the well depth and other parameters, the optimized frequency range can effectively reduce the attenuation of the signal in a complex environment, and at the same time, the transmission power is reasonably allocated to the main frequency band to ensure that the signal energy is concentrated within the optimal propagation range, thereby improving the transmission distance and signal coverage. In addition, the method adopts adaptive waveform modulation technology, and by adjusting the waveform parameters and compensation functions, the signal can dynamically adapt to the random noise and various interferences in the downhole environment to achieve higher stability and anti-interference ability. In terms of signal reception and processing, the embodiment of the present application designs a multimodal signal fusion and dynamic compensation model, which can efficiently extract effective information and suppress useless interference, thereby significantly improving the fidelity and decoding accuracy of the signal. At the same time, by introducing an integrity check mechanism, combining historical data with real-time data for joint analysis and optimization, the accumulation of decoding errors is effectively avoided, ensuring the integrity and reliability of the target data.

[0071] In some examples, key physical parameters of the mud (such as conductivity, temperature, pressure, well depth, etc.) are obtained through downhole sensors, and the dynamic frequency range and optimized transmission power suitable for wireless electromagnetic wave short-distance transmission are calculated based on these data.

[0072] The propagation of electromagnetic waves in mud is affected by the dielectric constant ∈r , magnetic permeability μ r , conductivity σ and signal frequency f, its attenuation factor α(f) can be expressed as:

[0073]

[0074] Among them, π is pi; f is the frequency of electromagnetic wave; μ r is the relative magnetic permeability of the mud; ∈ r is the dielectric constant of the mud; σ is the electrical conductivity of the mud.

[0075] According to the medium characteristics of the mud, the transmission frequency range f range Determined as:

[0076] f range =[f min , f max ]

[0077]

[0078] Among them, f min is the minimum frequency; f max is the maximum frequency; d is the well depth; σd is the cumulative effect of mud conductivity and well depth.

[0079] The above optimized transmission power is determined based on the following formula:

[0080]

[0081] Among them, P opt is to optimize the transmission power; k is the proportional constant; d is the well depth; σ is the conductivity; α eff The frequency range f mean The attenuation factor is denoted as α eff =α(f mean );f mean The main transmission frequency is determined based on the mean value of the transmission frequency range;

[0082]

[0083] Among them, μ r is the relative magnetic permeability; ∈ r is the dielectric constant; σ is the conductivity.

[0084] In order to improve the transmission efficiency, the mean value of the transmission frequency range is selected as the main transmission frequency f of the signal. mean , the main transmission frequency is expressed as:

[0085]

[0086] Exemplarily, in the embodiments of the present application, the attenuation factor α(f) of the medium describes the degree of energy attenuation of electromagnetic waves when propagating in the mud liquid, and is greatly affected by the frequency and medium characteristics. is the basic relationship between frequency and medium, and additionally ∈ r / σ / 2πf takes into account the coupling effect between the conductivity and frequency in the medium. Frequency range f range The upper and lower limits of f are determined by the electromagnetic properties of the mud. Although higher frequencies can provide higher signal resolution, their effective transmission distance is shorter due to the square relationship of the attenuation factor α(f). Therefore, the upper limit f max Restricted. min It is the basic limitation of the physical properties of the medium, and the dielectric constant of the slurry ∈ r , and magnetic permeability μ r Directly related. Optimize transmission power P opt The product of the well depth d and the conductivity σ reflects the cumulative absorption of the mud on the electromagnetic wave transmission. It is used to compensate for the attenuation of the signal underground. The main transmission frequency f mean is the mean value of the frequency range f mean The signal energy and transmission efficiency are balanced, so that the signal can propagate far enough in the mud while maintaining appropriate transmission strength; the output dynamic frequency range f range =[f min , f max ], optimize the transmission power P opt , main transmission frequency f mean .

[0087] In some examples, the generating of the modulated signal based on the main transmission frequency and the optimized transmission power includes:

[0088] Based on the main transmission frequency and the above-mentioned optimized transmission power, a basic waveform is constructed to obtain a basic signal;

[0089] Based on the Fourier transform and the above basic signal, determine the frequency domain signal;

[0090] Based on the modulation factor, optimizing the frequency domain signal;

[0091] Based on the inverse Fourier transform and the optimized frequency domain signal, an optimized time domain signal is obtained;

[0092] A modulated signal is generated based on the compensation term and the optimized time domain signal.

[0093] Exemplarily, the expression of the basic signal is:

[0094] S base (t) = P opt ·sin(2πf mean t)

[0095] Among them, P opt To optimize the transmission power; f mean Main transmission frequency; S base (t) is the basic signal.

[0096] Through Fourier transform, the signal S base (t) is converted into frequency domain and expressed as:

[0097]

[0098] According to the frequency domain distribution S base (t) and modulation factor ξ(f), the signal spectrum is optimized and expressed as:

[0099] S mod (f) = S base (f)·ξ(f)

[0100] In order to optimize the signal energy distribution, a frequency-dependent modulation factor is introduced, which is expressed as:

[0101]

[0102] Among them, ξ(f) is used to enhance the main frequency band frequency f mean Energy near ±Δf, reducing high-frequency noise.

[0103] The optimized signal is converted back to the time domain through inverse Fourier transform and expressed as:

[0104]

[0105] To further enhance the signal's anti-interference capability, a dynamic compensation function is superimposed and the modulated signal is output, which is expressed as:

[0106] S(t)=S td (t)+η(t)

[0107] Among them, η(t) is the dynamic interference compensation function, which is used to offset the random signal interference in the mud.

[0108] The dynamic disturbance compensation function η(t) is calculated based on the high-order disturbance terms of the mud parameters σ, d and mud characteristics, and is expressed as:

[0109]

[0110] Among them, A η =k η / (1+σ·d), k η is the compensation amplitude constant; f η is the compensation frequency, and its value is f mean / 2; α effis the effective attenuation factor; the dynamic interference compensation function dynamically adjusts the signal energy distribution by superimposing a set of orthogonal cosine waves to compensate for the random disturbance of the mud to the signal.

[0111] In some examples, generating a compensation signal based on the dynamic compensation function and the modulation signal includes:

[0112] Constructing a dynamic compensation function, wherein the dynamic compensation function is determined based on the attenuation factor and the well depth;

[0113] Normalizing the above dynamic compensation function to obtain a normalized dynamic compensation function;

[0114] Based on the normalized dynamic compensation function, the modulated signal is corrected to generate a compensation signal.

[0115] Exemplarily, according to the mud parameters, a dynamic compensation function G(f) is constructed, which is expressed as:

[0116]

[0117] G(f) is normalized and expressed as:

[0118]

[0119] Based on the normalized dynamic compensation function, the above modulation signal is corrected to generate a compensation signal, which is expressed as:

[0120] S comp (t) = S(t)·G norm (f mean )

[0121] Determining the fidelity of the compensation signal, and if the fidelity is less than a preset threshold, re-adjusting the parameters of the dynamic compensation function, including:

[0122] Define the signal fidelity indicator Q:

[0123]

[0124] Among them, Q is the ratio of signal energy in the main frequency band to the total energy, Δf is the bandwidth of the signal main frequency range, S comp (f) is the frequency domain energy distribution S(f) of the modulated signal S(t).

[0125] During signal transmission, the fidelity of the compensation signal directly affects the quality of the final received signal and the decoding accuracy. Fidelity is an important indicator to measure the similarity between the compensation signal and the original signal, and is usually quantified by calculating the error or deviation of the signal. When the fidelity of the compensation signal is less than the preset threshold, it means that the compensation effect is not ideal, and the signal may be distorted due to environmental changes, noise interference, etc. In order to ensure the effective transmission and decoding accuracy of the signal, the parameters of the compensation function are adjusted based on the evaluation results of the fidelity, thereby improving the signal recovery quality.

[0126] In some examples, the above-mentioned frequency domain conversion, filtering and demodulation operations are sequentially performed based on the above-mentioned compensation signal to extract the original data, including:

[0127] receiving the above-mentioned compensation signal and converting it into a frequency domain distribution;

[0128] Performing a filtering operation on the above frequency domain distribution to obtain a filtered frequency domain signal;

[0129] Performing inverse Fourier transform on the filtered frequency domain signal to obtain a demodulated signal;

[0130] Effective information is extracted from the above demodulated signal to obtain original data.

[0131] Exemplarily, receiving the compensation signal S comp (t), converted to the frequency domain S through Fourier transform comp (f), expressed as:

[0132]

[0133] The frequency domain signal after filtering is expressed as:

[0134] S filt (t) = S comp (f)·H(f)

[0135] The frequency response of the filter is expressed as:

[0136]

[0137] Where n is the filter order, which controls the smoothness of the transition band; ΔFilter is the filter bandwidth.

[0138] The filtered frequency domain signal S filt (t) is demodulated, and the demodulated time domain signal is expressed as:

[0139]

[0140] From the demodulated signal S demod Extract valid information D from (t) raw, the extraction of effective information is completed through the relevant matching function, which is expressed as:

[0141]

[0142] Among them, φ D (t) is the predefined signal template function; T is the transmission time of the signal.

[0143] In some examples, generating target decoded data based on the integrity check function and the original data includes:

[0144] Based on the above original data and main frequency compensation data, generate fused data;

[0145] Generate target decoding data based on the above fused data and the probability distribution of the received signal;

[0146] Upload the above target decoding data to the ground equipment to complete the signal transmission process.

[0147] For example, the extracted raw data D raw The compensation characteristic G(f) of the transmitted signal and the main frequency information f mean Fusion, get fused data, correct the potential deviation in the data, expressed as:

[0148] Fusion Data fused The calculation formula is:

[0149] D fused =∫ T D raw (t)·G(f mean )dt

[0150] Among them, D raw (t) is the original data extracted from the time domain signal, which may contain noise or distortion; G(f mean ) is the main frequency compensation characteristic. The fusion process uses the main frequency compensation characteristic G(f mean ) to correct the data to ensure that the data that is attenuated or distorted during transmission is corrected.

[0151] Use the integrity check function Φ(D) to verify the fused data D fused consistency and correctness.

[0152] The integrity check function is defined as:

[0153]

[0154] Among them, D fused,i is the i-th element of the fused data; D ref,iis the reference data for comparison and verification; calculate the value of the verification function Φ(D). If the result is lower than the set threshold, the data integrity is considered to have passed the verification; otherwise, adjust D fused Fusion process.

[0155] Based on the extracted fusion data D fused and the probability distribution of the received signal P(D|S comp ), generate target decoded data D final , expressed as:

[0156] Joint probability distribution model:

[0157]

[0158] Among them, P(D|D fused , S comp ) is the conditional probability of the fused data and the received signal; Φ(D) is the data integrity check function; λ is the weight factor used to balance the influence of probability distribution and integrity check.

[0159] The generated target decoding data is uploaded to the ground equipment, thus completing the entire radio electromagnetic wave short-distance transmission process. This process includes the establishment of a data transmission interface, the application of a data transmission protocol, and the guarantee of data integrity and reliability during the transmission process.

[0160] First, the system transmits the decoded data from the downhole equipment to the surface equipment through a preset data transmission interface. This interface usually uses efficient and anti-interference wireless communication protocols, such as communication protocols based on Bluetooth, Wi-Fi or dedicated radio frequency bands, to adapt to the high noise and multipath propagation characteristics in the complex environment of the underground. When establishing a communication connection, the system will dynamically select the optimal communication parameters, such as frequency, modulation mode and transmission power, according to the real-time transmission environment to ensure that the data can be stably transmitted to the surface equipment. In addition, during the data transmission process, the system will use encryption technology to protect the data to prevent data leakage or interception by unauthorized third parties during the transmission process.

[0161] Secondly, in order to ensure the integrity and reliability of the transmitted data, the system introduces a variety of verification mechanisms and error correction technologies during the data upload process. For example, the use of cyclic redundancy check or forward error correction code to verify and correct data packets can effectively detect and correct bit errors that may occur during transmission. In addition, the system will also implement a data retransmission mechanism. When a data packet is lost or a verification failure is detected, a retransmission request is automatically triggered to ensure that all decoded data can be transmitted to the ground equipment intactly and without error.

[0162] Finally, after the ground equipment receives the data, it will further process and analyze the data through dedicated software or control systems. The system will record the transmission log, monitor the real-time status of data transmission, and store data, visualize it, or integrate it with other ground control systems as needed. It not only ensures the efficient and safe transmission of data from underground equipment to ground equipment, but also improves the reliability and practicality of the entire wireless electromagnetic wave short transmission system through multi-level verification and optimization measures.

[0163] Through the above steps, a complete closed loop from downhole data decoding to surface data uploading is achieved, ensuring the efficiency of the signal transmission process and the accuracy of the data, and meeting the needs of real-time monitoring and control in complex downhole environments.

[0164] In some examples, it also includes:

[0165] Based on multimodal sensor data, the transmission frequency range and the parameters of the dynamic compensation function are dynamically adjusted, wherein the multimodal sensor data includes noise signals, electromagnetic environment change data and equipment operation status data collected in real time underground.

[0166] Exemplarily, the environment and equipment data collected in real time by a variety of sensors are utilized, including downhole noise signals, electromagnetic environment change data, and equipment operation status data, to achieve adaptive response and optimization adjustment of the system to the complex downhole environment.

[0167] The multimodal sensor data is first acquired in real time through the data acquisition unit. These data include but are not limited to the noise level in the downhole environment, changes in the electromagnetic field strength, and the operating status parameters of the equipment (such as temperature, pressure, and vibration frequency). Through the comprehensive analysis of these multi-dimensional data, the system can accurately evaluate the dynamic changes of the current transmission environment. For example, an increase in noise signals may indicate an increase in mechanical activity downhole, and changes in the electromagnetic environment may affect the propagation path and attenuation characteristics of the signal, while the data on the equipment operating status provides real-time monitoring information on the performance of the transmission equipment itself.

[0168] Based on the above analysis results, the system uses an adaptive algorithm to dynamically adjust the transmission frequency range and the parameters of the dynamic compensation function. The adjustment of the transmission frequency range is aimed at selecting the optimal frequency band to adapt to the current changes in the electromagnetic environment and reduce signal attenuation and interference. For example, when it is detected that the electromagnetic interference in a certain frequency band is enhanced, the system can automatically switch to a frequency band with less interference to ensure the stability and reliability of signal transmission. At the same time, the parameters of the dynamic compensation function will also be optimized according to real-time environmental data to more effectively offset the energy loss and signal distortion caused by environmental changes during signal propagation. Through this dynamic adjustment, the system can continuously optimize the transmission performance and improve the signal's anti-interference ability and transmission quality.

[0169] In summary, by introducing a dynamic adjustment mechanism based on multimodal sensor data, the wireless electromagnetic wave short transmission method of the present invention can adapt to the complex changes of the underground environment in real time, ensuring the efficiency and reliability of signal transmission. This adaptive optimization strategy not only improves the anti-interference ability of the system in high noise and electromagnetic interference environments, but also extends the transmission distance and coverage of the signal, significantly enhancing the practicality and stability of the entire signal transmission system.

[0170] See also Figure 2 , is a schematic diagram of the structure of a wireless electromagnetic wave short transmission device provided in an embodiment of the present application, comprising:

[0171] A downhole data acquisition unit 21, used to calculate the transmission frequency range and optimize the transmission power based on the downhole data;

[0172] A modulation signal generating unit 22, configured to generate a modulation signal based on a main transmission frequency and the above-mentioned optimized transmission power, wherein the above-mentioned main transmission frequency is determined based on the above-mentioned transmission frequency range;

[0173] A compensation signal generating unit 23, configured to generate a compensation signal based on a dynamic compensation function and the above-mentioned modulation signal;

[0174] The original data extraction unit 24 is used to perform frequency domain conversion, filtering and demodulation operations in sequence based on the above-mentioned compensation signal to extract the original data;

[0175] The decoded data generating unit 25 is used to generate target decoded data based on the integrity check function and the original data.

[0176] See also Figure 3 The embodiment of the present application also provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored in the memory 310 and executable on the processor. When the processor 320 executes the computer program 311, it implements the steps of any method of wireless electromagnetic wave short transmission.

[0177] Since the electronic device introduced in this embodiment is a device used to implement a wireless electromagnetic wave short transmission device in the embodiment of the present application, based on the method introduced in the embodiment of the present application, the technical personnel in this field can understand the specific implementation method of the electronic device of the present embodiment and its various variations. Therefore, how the electronic device implements the method in the embodiment of the present application is not introduced in detail here. As long as the equipment used by the technical personnel in this field to implement the method in the embodiment of the present application is within the scope of protection of this application.

[0178] During the specific implementation process, when the computer program 311 is executed by a processor, any implementation method in the embodiments corresponding to the first aspect can be implemented.

[0179] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0180] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-readable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-readable program code.

[0181] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0182] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0183] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0184] The present application also provides a computer program product, which includes computer software instructions. When the computer software instructions are executed on a processing device, the processing device executes Figure 1 A process of a wireless electromagnetic wave short transmission method in the corresponding embodiment.

[0185] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on the computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, a computer, a server or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can store or a data storage device such as a server or a data center that includes one or more available media integration. The available medium can be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid state drive (SSD)), etc.

[0186] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0187] In the several embodiments provided in the present application, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0188] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0189] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0190] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), disk or optical disk and other media that can store program codes.

[0191] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

[0192] Although the preferred embodiments of this specification have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of this specification.

[0193] Obviously, those skilled in the art can make various changes and modifications to this specification without departing from the spirit and scope of this specification. Thus, if these modifications and variations of this specification fall within the scope of the claims of this specification and their equivalents, this specification is also intended to include these modifications and variations.

Claims

1. A wireless electromagnetic wave short transmission method, characterized in that: The method comprises: Calculate the transmission frequency range and optimize the transmission power based on downhole data; generating a modulated signal based on a main transmission frequency and the optimized transmission power, wherein the main transmission frequency is determined based on the transmission frequency range; generating a compensation signal based on a dynamic compensation function and the modulation signal; Based on the compensation signal, frequency domain conversion, filtering and demodulation operations are performed in sequence to extract original data; Based on the integrity check function and the original data, target decoded data is generated.

2. The wireless electromagnetic wave short transmission method according to claim 1, characterized in that: The optimized transmission power is determined based on the following formula: Among them, P opt is to optimize the transmission power; k is the proportional constant; d is the well depth; σ is the conductivity; α eff is the attenuation factor, denoted as α eff =α(f mean );f mean The main transmission frequency is determined based on the mean value of the transmission frequency range; Among them, μ r is the relative magnetic permeability; ∈ r is the dielectric constant; σ is the conductivity.

3. The wireless electromagnetic wave short-distance transmission method according to claim 1, characterized in that: The generating of a modulation signal based on the main transmission frequency and the optimized transmission power comprises: Based on the main transmission frequency and the optimized transmission power, construct a basic waveform to obtain a basic signal; Determine a frequency domain signal based on Fourier transform and the base signal; Optimizing the frequency domain signal based on the modulation factor; Based on the inverse Fourier transform and the optimized frequency domain signal, an optimized time domain signal is obtained; A modulated signal is generated based on the compensation term and the optimized time domain signal.

4. The wireless electromagnetic wave short-distance transmission method according to claim 1, characterized in that: The generating of the compensation signal based on the dynamic compensation function and the modulation signal comprises: Constructing a dynamic compensation function, wherein the dynamic compensation function is determined based on an attenuation factor and a well depth; Normalizing the dynamic compensation function to obtain a normalized dynamic compensation function; Based on the normalized dynamic compensation function, the modulated signal is modified to generate a compensation signal.

5. The wireless electromagnetic wave short-distance transmission method according to claim 1, characterized in that: The method of sequentially performing frequency domain conversion, filtering and demodulation operations based on the compensation signal to extract original data includes: receiving the compensation signal and converting it into a frequency domain distribution; Performing a filtering operation on the frequency domain distribution to obtain a filtered frequency domain signal; Performing an inverse Fourier transform on the filtered frequency domain signal to obtain a demodulated signal; Effective information is extracted from the demodulated signal to obtain original data.

6. The wireless electromagnetic wave short-distance transmission method according to claim 1, characterized in that: The generating target decoded data based on the integrity check function and the original data comprises: Generate fused data based on the original data and the main frequency compensation data; Generate target decoded data based on the fused data and the probability distribution of the received signal; The target decoded data is uploaded to the ground equipment to complete the signal transmission process.

7. The wireless electromagnetic wave short-distance transmission method according to claim 1, characterized in that: Also includes: Based on multimodal sensor data, the transmission frequency range and the parameters of the dynamic compensation function are dynamically adjusted, wherein the multimodal sensor data includes noise signals, electromagnetic environment change data and equipment operation status data collected in real time underground.

8. A wireless electromagnetic wave short-distance transmission device, characterized in that: include: A downhole data acquisition unit, used to calculate the transmission frequency range and optimize the transmission power based on the downhole data; a modulation signal generating unit, configured to generate a modulation signal based on a main transmission frequency and the optimized transmission power, wherein the main transmission frequency is determined based on the transmission frequency range; A compensation signal generating unit, used for generating a compensation signal based on a dynamic compensation function and a modulation signal; An original data extraction unit, used to perform frequency domain conversion, filtering and demodulation operations in sequence based on the compensation signal to extract original data; The decoded data generating unit is used to generate target decoded data based on the integrity check function and the original data.

9. An electronic device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is used to implement the steps of the wireless electromagnetic wave short transmission method as described in any one of claims 1 to 7 when executing the computer program stored in the memory.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the wireless electromagnetic wave short transmission method as described in any one of claims 1 to 7 is implemented.

Images