CN104459827A - Method for evaluating performance of high-power electromagnetic transmitter - Google Patents

Abstract

The invention discloses a method for evaluating the performance of a high-power electromagnetic transmitter, which comprises the following steps: sampling the performance parameters corresponding to each transmission frequency point of the high-power electromagnetic transmitter in real time; extracting the performance parameter data corresponding to each transmission frequency point, Generate and display the corresponding data table; calculate the expectation, standard deviation, and change trend of the performance parameter data of each transmitting frequency point in the data table; draw the calculated expectation, standard deviation, and change trend to the performance parameters of the high-power electromagnetic transmitter The distribution curve and save the high-power electromagnetic transmitter performance parameter data. The invention can quickly and effectively analyze the stability of the transmitting frequency point and the distribution of the transmitting frequency when the high-power electromagnetic transmitter is working. The invention can directly check the emission effects, advantages and disadvantages of various high-power electromagnetic transmitters, provide certain guidance for receivers in receiving data and processing their data, and have certain guidance for the optimization of high-power electromagnetic transmitters significance.

Description

A performance evaluation method of high-power electromagnetic transmitter

technical field

The invention relates to a performance evaluation method of a high-power electromagnetic transmitter, belonging to the technical field of geological exploration.

Background technique

At present, energy competition is a permanent topic of international competition, and energy exploration is the basis of energy competition. Energy exploration not only affects the current economic development, but also is the basis for the country to formulate development plans, which restricts the sustainable development of the national economy. The mining and exploration of existing mineral resources and the complexity of geological conditions make exploration difficult.

Metal ores usually have good electrical conductivity, so the electromagnetic method is the most effective geophysical prospecting method for finding metal ores. The electromagnetic method constructs the distribution information of the conductivity of the subsurface medium by obtaining the response of the earth medium to the injected electromagnetic field.

Canadian Phoenix Company has launched V4, V6, and V8 electromagnetic launch systems since the 1980s. Among them, the maximum power of the V8 transmitter reaches 20kW, and the current range is 0.5A-40A; The power range of GDP32 is from 3KW-30KW, and the output voltage is 50V-1000V. In recent years, the Ministry of Land and Resources' deep detection technology and experimental research project (Sinoprobe) "Surface Electromagnetic Detection (SEP) System Development" project carried out by the Ministry of Land and Resources, the SEP transmitter developed by the team of Professor Zhang Yiming of Beijing University of Technology, mainly for Research on the high-voltage and high-power transmitter technology in the ground electromagnetic detection system provides theoretical support and technical support for the high-power electromagnetic transmitter technology used in electromagnetic exploration in my country. However, whether it is the V8 electromagnetic transmitter produced by Phoenix Company abroad, the GDP32 electromagnetic transmitter launched by Zonge Company in the United States, or the SEP high-power electromagnetic transmitter developed by our country, there is no relatively sound test for high-power electromagnetic transmitters. The method of judging the launch effect.

In the electromagnetic method, since the transmitting frequency has a significant impact on the receiving effect of the receiver and the subsequent analysis, the stability and distribution of the actual transmitting frequency is an extremely important factor for judging the transmitting effect of the transmitter.

Contents of the invention

The technical problem to be solved by the invention is to evaluate the performance of a high-power electromagnetic transmitter.

In order to achieve the above-mentioned purpose of the invention, the present invention provides a method for evaluating the performance of a high-power electromagnetic transmitter, comprising the following steps:

Real-time sampling of performance parameters corresponding to each transmission frequency point of the high-power electromagnetic transmitter;

Extract the performance parameter data corresponding to each transmission frequency point, generate the corresponding data table and display it;

Calculate the expectation, standard deviation, and change trend of the performance parameter data of each emission frequency point in the data table;

Draw the distribution curve of the high-power electromagnetic transmitter performance parameters based on the calculated expectation, standard deviation, and change trend, and save the high-power electromagnetic transmitter performance parameter data.

Wherein preferably, the step of performing real-time sampling of the performance parameters corresponding to each transmission frequency point of the high-power electromagnetic transmitter specifically includes:

Signal conditioning for performance parameters output by high-power electromagnetic transmitters;

Sampling the conditioned performance parameter signal to obtain performance parameter data;

Process the sampled performance parameter data.

Wherein preferably, the step of conditioning the performance parameter signal output by the high-power electromagnetic transmitter specifically includes:

Follow up and process the performance parameter signal output by the high-power electromagnetic transmitter;

Amplify and process the following performance parameter signal;

Filtering and processing the amplified performance parameter signal;

Level conversion processing is performed on the filtered performance parameter signal.

Wherein preferably, the step of processing the sampled performance parameter data specifically includes:

Measure the actual transmission frequency of the high-power electromagnetic transmitter when transmitting by the time difference method;

The measured frequency signal and the reference frequency signal generate a phase/time difference through a frequency divider;

The frequency difference and the fluctuation of the frequency difference are obtained by calculating the phase/time difference.

Wherein preferably, the said performance parameters include: output voltage, output current and actual transmission frequency.

Preferably, the distribution curve of the actual transmission frequency is drawn according to the probability of the actual transmission frequency with a larger standard deviation.

Preferably, the distribution curves of the output voltage and output current are obtained by fitting.

Wherein preferably, the performance parameter corresponding to each transmitting frequency point is collected in real time.

Wherein preferably, the data of said performance parameters are processed and displayed by Labview.

Wherein preferably, the expectation, standard deviation and variation trend of the said performance parameters are calculated by MATLAB.

The performance evaluation method of the high-power electromagnetic transmitter provided by the invention can quickly and effectively analyze the stability of the transmitting frequency point and the distribution of the transmitting frequency when the high-power electromagnetic transmitter is working. The present invention can directly check out the emission effects, advantages and disadvantages of various high-power electromagnetic transmitters, provides a certain guiding role for the receiver in receiving data and processing its data, and has a certain effect on the optimization of future high-power electromagnetic transmitters. guiding significance.

Description of drawings

Fig. 1 is a schematic flow chart of a method for evaluating the performance of a high-power electromagnetic transmitter of the present invention;

Fig. 2 is the schematic flow chart of data acquisition signal of the present invention;

Fig. 3 is a schematic diagram of the signal conditioning process of the present invention;

Fig. 4 is a schematic diagram of data conversion flow during data acquisition of the present invention;

Fig. 5 is a schematic structural diagram of the data acquisition system of the present invention;

Fig. 6 is a schematic diagram of the DSP time-difference method frequency measurement principle of the present invention;

Fig. 7 is a schematic diagram of upper computer data processing of the present invention;

Fig. 8 is the sampling data table of the present invention;

Fig. 9 is a schematic diagram of the display interface of the host computer of the present invention;

Fig. 10 is a schematic diagram of the standard deviation of the actual transmission frequency of the upper computer of the present invention;

Fig. 11 is a schematic diagram of the actual transmission frequency distribution when the transmission frequency of the high-power electromagnetic transmitter of the present invention is set to 9600 Hz;

Fig. 12 is a schematic diagram of the actual transmission frequency distribution when the transmission frequency of the high-power electromagnetic transmitter of the present invention is set to 7680 Hz;

Fig. 13 is a schematic diagram of the actual transmission frequency distribution when the transmission frequency of the high-power electromagnetic transmitter of the present invention is set to 5120 Hz;

Fig. 14 is a schematic diagram of the actual transmission frequency distribution when the transmission frequency of the high-power electromagnetic transmitter of the present invention is set to 3840 Hz.

Detailed ways

The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

As shown in Fig. 1, the present invention provides a kind of performance evaluation method of high-power electromagnetic transmitter, comprises the following steps: carry out real-time sampling to the performance parameter corresponding to each transmission frequency point of high-power electromagnetic transmitter; Extract each transmission frequency point corresponding Generate the corresponding data table and display it; calculate the expectation, standard deviation, and change trend of the performance parameter data of each emission frequency point in the data table; draw the calculated expectation, standard deviation, and change trend in a high-power Electromagnetic transmitter performance parameter distribution curve and save high-power electromagnetic transmitter performance parameter data. The following is a detailed description of the performance evaluation method of the high-power electromagnetic transmitter provided by the present invention.

First, the steps of real-time sampling of performance parameters corresponding to each transmitting frequency point of the high-power electromagnetic transmitter are introduced.

In one embodiment of the present invention, as shown in Figure 2, the step of performing real-time sampling of the performance parameters corresponding to each transmission frequency point of the high-power electromagnetic transmitter specifically includes: conditioning the performance parameter signal output by the high-power electromagnetic transmitter ; Sampling the conditioned performance parameter signal to obtain performance parameter data; processing the sampled performance parameter data. Upload the processed sampling data to the host computer. Specifically, the output performance parameters of the high-power electromagnetic transmitter include: output voltage, output current and actual transmission frequency.

In the present invention, as shown in Figure 3, the step of conditioning the performance parameter signal output by the high-power electromagnetic transmitter further includes: following the performance parameter signal output by the high-power electromagnetic transmitter; Amplification processing; filtering processing of the performance parameter signal after the amplification processing; performing level conversion processing on the performance parameter signal after filtering processing. As shown in Figure 3, specifically, the performance parameter signal output terminal of the high-power electromagnetic transmitter is connected to the signal input terminal, and the actual performance parameter signal is passed through the signal follower circuit and the amplification circuit when the high-power electromagnetic transmitter is launched, so as to improve the efficiency of frequency acquisition. Precision and accuracy, remove the error signal; then extract the frequency signal required for actual sampling by the low-pass filter circuit, and filter out some unnecessary signals; The performance parameter signal is converted to a corresponding level suitable for sampling processing. The performance parameter signal after level conversion is transmitted to the sampling circuit.

In the present invention, as shown in FIG. 4 , the AD sampling unit samples and tracks the voltage and output current output by the high-power electromagnetic transmitter in real time. The AD sampling unit preferably adopts the AD7606 chip, which has built-in analog input clamp protection, second-order anti-aliasing filter, track-and-hold amplifier, 16-bit ADC, and high-speed serial and parallel interfaces. All channels can achieve throughput rates up to 200KSPS sampling.

In the present invention, as shown in Figure 5, the AD sampling circuit transmits the sampled frequency signal to the DSP for processing, and obtains the final sampling frequency through the calculation of the DSP, and transmits it to the host computer. The DSP samples the actual transmission frequency, output voltage and output current of the high-power electromagnetic transmitter in real time, and uploads the collected data signals to the host computer after signal conditioning and DSP processing. DSP preferably adopts TMS320F28335DSP chip. As shown in Figure 6, the DSP uses the time difference method to measure the actual transmission frequency of the high-power electromagnetic transmitter. The measured frequency signal and the reference frequency signal generate a phase/time difference through a frequency divider, and the frequency difference and frequency difference are obtained by calculating the phase/time difference. Frequency fluctuations. The method has great flexibility in data processing and frequency measurement, is easy to control and can obtain the actual transmission frequency quickly and accurately.

Secondly, it introduces the steps of extracting the performance parameter data corresponding to each transmitting frequency point, generating a corresponding data table and displaying it.

As shown in Figure 7, the upper computer receives the real-time output performance parameters (output voltage, output current and actual transmission frequency) data transmitted by each transmission frequency point transmitted by the DSP, generates a corresponding data table, and stores it in the corresponding data table . For example, it can be stored in an excel table, as shown in Figure 8, the table records from left to right the peak-to-peak value of the sampling voltage, the emitted frequency value and the peak value of the sampling current, and each number on the far left corresponds to a cycle. As shown in Figure 9, the upper computer can use Labview software to display the sampling data in real time, generate the actual transmission frequency waveform diagram in the display interface, directly observe the actual transmission frequency of the high-power electromagnetic transmitter at this frequency point, and generate the actual The data table of emission frequency, output voltage, and output current displays the sampled peak-to-peak emission voltage, peak-to-peak emission current and changes in actual emission frequency in real time. It should be understood that the present invention is not limited thereto, and other tools with functions similar to the Labview software can still implement the present invention. For example, it can be implemented by using C# or C language programming for the host computer display tool.

Again, the steps of calculating the expectation, standard deviation, and change trend of the performance parameter data of each emission frequency point in the data table are introduced.

The host computer imports the actual transmission frequency, output voltage, and output current data of each transmission frequency point into MATLAB software for processing; use MATLAB software to calculate the frequency expectation, standard deviation, and trend of each transmission frequency point, etc. . Of course, it can be understood that it is not limited to this, and other software with the same function as MATLAB software can also be used to calculate the expectation, standard deviation, and change trend of each emission frequency point. The specific calculation process is as follows:

Assuming that there are n frequency points obtained by sampling at each transmitting frequency point, they are represented by x ₁ , x ₂ ,...x _n respectively, and the expected expression is shown in formula (1):

$\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{\mathrm{<span\; class="notranslate">\; x</span>}}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; E.</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; x</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\frac{{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; +</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}}}{\mathrm{<span\; class="notranslate">\; no</span>}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span>$

Variance is used to measure the degree of deviation between a random variable and its mathematical expectation (ie mean), and its mathematical expression is shown in formula (2):

$\mathrm{<span\; class="notranslate">\; D.</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; x</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; the\; s</span>}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; =</span>\frac{{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; -</span>\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{\mathrm{<span\; class="notranslate">\; x</span>}}<span\; class="notranslate">\; )</span>}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; +</span>{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; -</span>\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{\mathrm{<span\; class="notranslate">\; x</span>}}<span\; class="notranslate">\; )</span>}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; +</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; +</span>{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}}<span\; class="notranslate">\; -</span>\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{\mathrm{<span\; class="notranslate">\; x</span>}}<span\; class="notranslate">\; )</span>}^{\mathrm{<span\; class="notranslate">\; 2</span>}}}{\mathrm{<span\; class="notranslate">\; no</span>}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 2</span>}<span\; class="notranslate">\; )</span>$

And when used As an estimate of the variance of the sample X, it is found that its mathematical expectation is not the variance of X, but (n-1)/n times the variance of X. The mathematical expectation of D(X) is the variance of X, and the more accurate variance D(X) is shown in formula (3):

$\mathrm{<span\; class="notranslate">\; D.</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; x</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; the\; s</span>}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; =</span>\frac{{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; -</span>\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{\mathrm{<span\; class="notranslate">\; x</span>}}<span\; class="notranslate">\; )</span>}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; +</span>{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; -</span>\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{\mathrm{<span\; class="notranslate">\; x</span>}}<span\; class="notranslate">\; )</span>}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; +</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; +</span>{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}}<span\; class="notranslate">\; -</span>\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{\mathrm{<span\; class="notranslate">\; x</span>}}<span\; class="notranslate">\; )</span>}^{\mathrm{<span\; class="notranslate">\; 2</span>}}}{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 3</span>}<span\; class="notranslate">\; )</span>$

D(X) uses it as an estimate of the variance of X to be "unbiased", so we always use To estimate the variance of X, in the case of the same sample size, the larger the variance, the greater the fluctuation of the data and the more unstable it is.

After calculating the variance, further calculate its standard deviation, as shown in formula (4):

$\mathrm{<span\; class="notranslate">\; \&sigma;X</span>}<span\; class="notranslate">\; =</span>\sqrt{\mathrm{<span\; class="notranslate">\; D.</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; x</span>}<span\; class="notranslate">\; )</span>}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 4</span>}<span\; class="notranslate">\; )</span>$

Similarly, the larger the standard deviation, the greater the fluctuation and instability of the data transmitted by the high-power electromagnetic transmitter.

In addition, the frequency of actual transmission at the set frequency is represented by a ₁ , a ₂ ... a _n , the frequency of the corresponding frequency point is represented by b ₁ , b ₂ ... b _n , and the probability of occurrence is represented by c ₁ , c ₂ …c _n represents that the probability of the actual transmission frequency appearing at the set frequency is shown in formula (5):

${\mathrm{<span\; class="notranslate">\; c</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}}<span\; class="notranslate">\; =</span>\frac{{\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}}}{\underset{\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; no</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}{\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}}<span\; class="notranslate">\; ,</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1,2</span>}<span\; class="notranslate">\; ,</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span>\mathrm{<span\; class="notranslate">\; m</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 5</span>}<span\; class="notranslate">\; )</span>$

Among them, c _n represents the probability of occurrence of each frequency point, b _n represents the frequency of frequency occurrence, and b _k represents the frequency of each frequency.

Similarly, for the output voltage and output current of the sampled high-power electromagnetic transmitter, the same processing method can be used to analyze the data.

Finally, the steps of drawing the distribution curve of the performance parameters of the high-power electromagnetic transmitter and saving the performance parameter data of the high-power electromagnetic transmitter from the calculated expectation, standard deviation and change trend are introduced.

For the transmission frequency point with a large standard deviation, draw the probability distribution curve of its actual transmission frequency to obtain the frequency curve of its actual transmission, and according to this method, the distribution of the frequency point of the high-power electromagnetic transmitter can be clearly obtained; after processing by MATLAB Data fitting of the output voltage and output current is carried out, and the fitting curve of the output voltage and output current is drawn, and the output resistance at this frequency point is obtained according to the curve.

Based on the above analysis, the standard deviation distribution map of the actual transmission frequency of the high-power electromagnetic transmitter is obtained, as shown in Figure 10. It can be seen from Figure 10 that the standard deviation of the high-power electromagnetic transmitter is very small (less than 0.01) when transmitting at low frequencies, indicating that it is relatively stable when transmitting at low frequencies and high power, and its standard deviation is close to 0.5 at the high-frequency stage. It is proved that the fluctuation of high-power electromagnetic transmitter is relatively large at high frequency. The standard deviation of different high-power electromagnetic transmitters at different frequencies is not the same, so it is easy to see the emission effect.

For the transmission frequency with relatively large standard deviation, the present invention adopts the least square method to carry out curve fitting on the distribution of the actual transmission frequency points, and obtains the probability distribution curve of the actual transmission frequency points and the theoretical transmission frequency points of the high-power electromagnetic transmitter. As shown in Figure 11-14. Figure 11 is the actual transmission frequency distribution when the transmission frequency of the high-power electromagnetic transmitter is set to 9600Hz; Figure 12 is the actual transmission frequency distribution when the transmission frequency of the high-power electromagnetic transmitter is set to 7680Hz; Figure 13 is the transmission frequency of the high-power electromagnetic transmitter The actual transmission frequency distribution is set to 5120Hz; Figure 14 is the actual transmission frequency distribution when the high-power electromagnetic transmitter transmission frequency is set to 3840Hz. It can be seen from Figures 11-14, the distribution of the transmission frequency during actual transmission. The greater the transmission frequency, the greater the deviation of the actual transmission frequency, the less accurate the actual transmission frequency, the worse the stability, and the greater the impact on the receiver. The emission effect can be clearly seen from the probability distribution diagram. The distribution of different high-power electromagnetic transmitters at the same frequency can clearly see the upper and lower limits of the emission frequency and the emission effect. The smaller the difference between the upper and lower limits of actual transmission, the greater the probability of setting the frequency, and the better the transmission effect of the high-power electromagnetic transmitter. Because when the frequency is less than 3000 Hz, the standard deviation of each high-power electromagnetic transmitter's emission frequency is relatively small, and the emission frequency will hardly change at this time, so the distribution diagram of their actual emission frequencies will not be drawn here one by one. According to these curves, the distribution of the actual transmission frequency can be obtained, from which the transmission effect of the high-power electromagnetic transmitter can be clearly seen, which provides a basis for the data analysis of the receiver in the future. What needs to be explained here is that the method of performing data fitting on the output voltage and output current processed by MATLAB, and drawing the fitting curve of the output voltage and output current is the same as the above method, and will not be repeated here.

Using the data obtained from the above analysis, the sampling data analysis table of each frequency point of the high-power electromagnetic transmitter is obtained (as shown in Table 2), and the performance parameters of the high-power electromagnetic transmitter are stored in the corresponding data table, which is used as a large-scale An evaluation method for the emission effect of a high-power electromagnetic transmitter, and at the same time provide a reference for the receiver to receive data in the future, so as to verify the emission effect of a high-power electromagnetic transmitter.

Table 2 Sampling data analysis table of each frequency point emitted by high-power electromagnetic transmitter

In summary, the present invention proposes a method for evaluating the emission performance parameters of high-power electromagnetic transmitters, which can quickly and effectively analyze the stability of the emission frequency point and the emission frequency of high-power electromagnetic transmitters when they are working. distributed. The present invention can directly check out the emission effects, advantages and disadvantages of various high-power electromagnetic transmitters, provides a certain guiding role for the receiver in receiving data and processing its data, and has a certain effect on the optimization of future high-power electromagnetic transmitters. guiding significance.

The above embodiments are only used to illustrate the present invention, but not to limit the present invention. Those of ordinary skill in the relevant technical field can make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, all Equivalent technical solutions also belong to the category of the present invention, and the scope of patent protection of the present invention should be defined by the claims.

Claims (10)

1. a high-power electromagnetic transmitter performance evaluation method, is characterized in that, comprises the steps: Real-time sampling of performance parameters corresponding to each transmission frequency point of the high-power electromagnetic transmitter; Extract the performance parameter data corresponding to each transmission frequency point, generate the corresponding data table and display it; Calculate the expectation, standard deviation, and change trend of the performance parameter data of each emission frequency point in the data table; Draw the distribution curve of the high-power electromagnetic transmitter performance parameters based on the calculated expectation, standard deviation, and change trend, and save the high-power electromagnetic transmitter performance parameter data. 2. The method according to claim 1, characterized in that, the step of carrying out real-time sampling of the corresponding performance parameters of each emission frequency point of the high-power electromagnetic transmitter specifically comprises: Signal conditioning for performance parameters output by high-power electromagnetic transmitters; Sampling the conditioned performance parameter signal to obtain performance parameter data; Process the sampled performance parameter data. 3. The method according to claim 2, characterized in that, the step of conditioning the performance parameter signal output by the high-power electromagnetic transmitter specifically comprises: Follow up and process the performance parameter signal output by the high-power electromagnetic transmitter; Amplify and process the following performance parameter signal; Filtering and processing the amplified performance parameter signal; Level conversion processing is performed on the filtered performance parameter signal. 4. The method according to claim 2, wherein the step of processing the sampled performance parameter data specifically comprises: Measure the actual transmission frequency of the high-power electromagnetic transmitter when transmitting by the time difference method; The measured frequency signal and the reference frequency signal generate a phase/time difference through a frequency divider; The frequency difference and the fluctuation of the frequency difference are obtained by calculating the phase/time difference. 5. The method according to claim 1, wherein the response performance parameters include: output voltage, output current and actual transmission frequency. 6. The method according to claim 5, wherein the distribution curve of the actual transmission frequency is drawn according to the probability of the actual transmission frequency with a larger standard deviation. 7. The method according to claim 5, wherein the distribution curves of the output voltage and output current are obtained by fitting. 8. The method according to any one of claims 1-7, wherein the performance parameters corresponding to each transmitting frequency point are collected in real time. 9. The method according to any one of claims 1-7, characterized in that, the data of the performance parameters are processed and displayed by Labview. 10. The method according to any one of claims 1-7, characterized in that, the expectation, standard deviation, and variation trend of the stress performance parameters are calculated by MATLAB.