A device and method for detecting grout density and flow

Abstract

The application provides a grouting density and flow detection device and method, relates to the technical field of grouting monitoring, and comprises a control module, a density data acquisition module, a flow data acquisition module, a data processing module, a data transmission module, a data storage module and a display control module.The control module is used for exciting a sensor; the density data acquisition module is used for applying ultrasonic waves to a density detection pipe section and converting the ultrasonic waves into electric signals; the flow data acquisition module is used for applying ultrasonic waves to a flow detection pipe section and converting the ultrasonic waves into electric signals; the data processing module is used for analyzing cement slurry density and flow after filtering sound wave data; the data transmission module is used for outputting analyzed data to a control end; the data storage module is used for storing backup data locally; and the display control module is used for monitoring a working state and adjusting parameters on the local machine.The application can monitor cement slurry density and flow parameters flowing in a pipe.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of grouting monitoring, and particularly relates to a grouting density and flow detection device and method. BACKGROUND

[0002] Grouting is an important measure to ensure the stability of dam foundation and surrounding rock mass in water conservancy construction. The cement used for grouting is a liquid mixed by water and cement ash, so the density and flow of cement slurry are directly related to the effect of grouting.

[0003] At present, there are various detection methods for grouting density and flow on the market. At present, four kinds of density sensors, namely, differential pressure type, radiation type, float type and fixed liquid level cylinder type, and electromagnetic flowmeter are mainly relied on. The differential pressure type density sensor is the most commonly used in construction, which is designed according to the principle that the internal pressure distribution of slurry is proportional to the density. The differential pressure type density sensor is suitable for static or stable flow liquid, but in the grouting process, the pressure and flow rate change greatly and frequently, which affects the measurement accuracy. The change of flow rate and high pressure fluctuation directly affect the measurement results, the error is more than 5% at low pressure, and can reach ±48% at high pressure. The cement slurry liquid is easy to precipitate, and the shunt flow needs to be kept not less than 25L / min, but the output of the on-site grouting pump is large, the slurry flows slowly in the shunt pipeline, and the precipitation problem is difficult to avoid. In addition, the radiation type density sensor detects the density of cement slurry by emitting gamma rays, and the measurement accuracy is the highest, but there is a hidden danger of radioactivity to the operator's body. The measurement of electromagnetic flowmeter is not affected by the changes of fluid density, viscosity, temperature, pressure and conductivity, and has unique adaptability to slurry measurement. Since the induced voltage signal is formed in the entire space filled with magnetic field, which is the average value on the pipe surface, the required straight pipe section of the sensor is short. However, the electromagnetic flowmeter is usually distributed in an array in the application, which occupies a large working area. SUMMARY

[0004] In view of the above problems in the prior art, the application provides a grouting density and flow detection device and method, which solves the problems of poor applicability and large volume of the density detection method.

[0005] In order to achieve the above purpose, in a first aspect, the technical scheme adopted by the application is as follows: a grouting density and flow detection device, comprising:

[0006] A control module is used for emitting signals to excite an ultrasonic flow sensor and an ultrasonic density sensor, respectively.

[0007] A density data acquisition module is used for applying ultrasonic waves to the grouting density detection pipe section, and converting the received ultrasonic waves into density electric signals by using the ultrasonic density sensor.

[0008] The flow data acquisition module is used for applying ultrasonic waves to the flow detection pipe section and converting the received ultrasonic waves into flow electric signals by using the ultrasonic flow sensor.

[0009] The data processing module is used for filtering the density electric signals and the flow electric signals respectively and analyzing the grouting density and the flow according to the filtered acoustic wave data.

[0010] The data transmission module is used for transmitting the analyzed grouting density and flow information to the control end.

[0011] The data storage module is used for storing the analyzed grouting density data and flow data.

[0012] The display control module is used for monitoring the working state of the detection device on the local machine and adjusting parameters.

[0013] The present application has the advantages that: through the above design, the control module transmits information to excite the ultrasonic flow sensor and the ultrasonic density sensor respectively, and then the two sensors receive corresponding ultrasonic waves and convert them into corresponding density electric signals and flow electric signals respectively, and the density electric signals and the flow electric signals are analyzed, so that the automatic data acquisition, data processing, transmission determination and result display of the cement grouting density and flow are realized.

[0014] Further, the density data acquisition module comprises:

[0015] The first acquisition pipe section is used for carrying the ultrasonic transducer and applying ultrasonic waves to the grouting density detection pipe section.

[0016] The first ultrasonic sensor is used for converting the received ultrasonic waves into density electric signals.

[0017] The first adapter pipe head is used for modularly connecting the measurement pipe section.

[0018] Further, the flow data acquisition module comprises:

[0019] The second acquisition pipe section is used for carrying the ultrasonic transducer and applying ultrasonic waves to the flow detection pipe section.

[0020] The second ultrasonic sensor is used for converting the received ultrasonic waves into flow electric signals.

[0021] The second adapter pipe head is used for modularly connecting the measurement pipe section.

[0022] In a second aspect, the present application provides a grouting density and flow detection method, comprising the following steps:

[0023] S1, the control module is used to emit electric signals to respectively excite the ultrasonic density sensor and the ultrasonic flow sensor;

[0024] S2, the ultrasonic density sensor is used to convert electric signals into ultrasonic waves through piezoelectric effect, and apply ultrasonic waves to the density detection pipe section; the ultrasonic density sensor is located on both sides of the density detection pipe section; the ultrasonic density sensor receives ultrasonic waves and converts them into density electric signals.

[0025] S3, the ultrasonic flow sensor is used to convert electric signals into ultrasonic waves through piezoelectric effect, and apply ultrasonic waves to the flow detection pipe section; the ultrasonic flow sensor is located on both sides of the flow detection pipe section; the ultrasonic flow sensor receives ultrasonic waves and converts them into flow electric signals.

[0026] S4, the data processing module is used to filter the density electric signals and the flow electric signals respectively, and analyze the grouting density and the grouting flow according to the filtered acoustic wave data.

[0027] The present application has the following advantages: through the above design, the control module transmits information to excite the ultrasonic flow sensor and the ultrasonic density sensor respectively, and then the two sensors receive corresponding ultrasonic waves and convert them into corresponding density electric signals and flow electric signals respectively; the density electric signals and the flow electric signals are analyzed to realize automatic data acquisition, data processing, transmission determination and result display of the cement grouting density and flow.

[0028] Further, the analysis of the grouting density is specifically as follows:

[0029] A1, the total average number M of empirical mode decomposition EEMD algorithm and the signal amplitude coefficient a of white noise are set;

[0030] A2, empirical mode decomposition EEMD is performed to obtain IMFs, and the first three IMFs are taken as characteristic modal components for identification and signal reconstruction;

[0031] A3, the selected characteristic modal components are analyzed, and signal reconstruction is performed after setting a weight coefficient; the expression of the reconstructed signal is as follows:

[0032] y r (t)=imf1+βimf2+imf3 i=1,2,3

[0033] Wherein, y r (t) represents the reconstructed signal, imf i represents the i-th modal, and β represents the weight coefficient.

[0034] A4, find the maximum peak point of the reconstructed signal in time domain and frequency domain by the following formula:

[0035] p = -17.45t - 8.141f + 618.414t 2 -7674.316t 3 + 2.809f 3 + 6.66

[0036] Wherein, p represents the density value of cement slurry, t represents the time domain maximum peak value, and f represents the frequency domain maximum peak value;

[0037] A5, calculate the frequency domain area of the first three IMF by using the following formula to perform neural network identification:

[0038] A i = ∫|x i (f)|df i = 1, 2, 3

[0039] Wherein, A i represents the frequency domain area of the i-th IMF, and x i (f) represents the amplitude of the i-th IMF component at the frequency domain maximum peak value f.

[0040] A6, the calculated frequency domain area is input into the neural network, and the grouting density is output.

[0041] Further, the grouting flow is analyzed, which specifically comprises:

[0042] B1, according to the filtered acoustic wave data, the transmission wavelength is calculated by using the Doppler effect;

[0043] B2, according to the relationship among the sound velocity, the transmission frequency, the frequency of the reflected acoustic wave of the cement particles and the frequency received by the receiving transducer, the receiving frequency is determined;

[0044] B3, the grouting flow is calculated based on the transmission wavelength and the receiving frequency, and the grouting flow is completed.

[0045] The beneficial effects of the above further scheme are: through the above design, the cement slurry flow measurement can be realized in a smaller space.

[0046] In a third aspect, the present application provides an electronic device, comprising a memory, a processor and a computer program stored on the memory and running on the processor, wherein the processor executes the program to realize the steps of the grouting density and flow detection method, which specifically comprises:

[0047] C1, receiving the density electrical signal and the flow electrical signal from an external device or an internal module;

[0048] C2, performing processing on the received density and flow acoustic wave data, including the steps of the method in any one of claims 4-6.

[0049] C3, store the processed density data and flow data in the memory or transmit to external devices through the communication module; the electronic device can be a smart terminal, a server or an embedded system.

[0050] In a fourth aspect, the present application provides a computer readable storage medium, which stores a computer program, and the computer program, when executed, implements the steps of any of the methods for detecting grouting density and flow.

[0051] D1, receiving the total average number M input by a user and the signal amplitude coefficient α of Gaussian white noise;

[0052] D2, after saving the input parameters, processing the received density and flow acoustic signals;

[0053] D3, calling an algorithm or a logic module to implement the steps of any of the methods according to claims 4-6;

[0054] D4, outputting the density data and flow data and storing them to a designated location; the storage medium can be a hard disk, a solid state disk, an optical disk or other readable storage devices. BRIEF DESCRIPTION OF DRAWINGS

[0055] Figure 1 It is a schematic diagram of the system structure of the present application.

[0056] Figure 2 It is a flow chart of the method of the present application. DETAILED DESCRIPTION

[0057] The specific embodiments of the present application are described below to facilitate the understanding of the present application by those skilled in the art, but it should be clear that the present application is not limited to the scope of the specific embodiments, and for those skilled in the art, any changes within the spirit and scope of the present application as defined and determined by the appended claims are obvious, and all the inventions utilizing the concept of the present application are within the scope of protection.

[0058] Embodiment 1

[0059] The conventional density detection method is contact type, but in order to solve the problem of large error in high-pressure grouting and reduce the working volume to ensure the quality of engineering grouting, the present application provides a device for detecting grouting density and flow, which comprises:

[0060] A control module for emitting signals to respectively excite an ultrasonic flow sensor and an ultrasonic density sensor;

[0061] The density data acquisition module is configured to apply ultrasonic waves to the grouting density detection pipe section and convert the received ultrasonic waves into density electric signals by using an ultrasonic density sensor.

[0062] The flow data acquisition module is configured to apply ultrasonic waves to the flow detection pipe section and convert the received ultrasonic waves into flow electric signals by using an ultrasonic flow sensor.

[0063] The data processing module is configured to filter the density electric signals and the flow electric signals respectively, and analyze the grouting density and the flow according to the filtered acoustic wave data.

[0064] The data transmission module is configured to transmit the analyzed grouting density and flow information to the control end.

[0065] The data storage module is configured to store the analyzed grouting density data and flow data.

[0066] The display control module is configured to monitor the working state of the detection device and adjust parameters on the local machine.

[0067] In this embodiment, the density data acquisition module comprises:

[0068] The first acquisition pipe section is configured to carry the ultrasonic transducer and apply ultrasonic waves to the grouting density detection pipe section.

[0069] The first ultrasonic sensor is configured to convert the received ultrasonic waves into density electric signals.

[0070] The first adapter pipe head is configured to modularly access the measurement pipe section.

[0071] In this embodiment, the flow data acquisition module comprises:

[0072] The second acquisition pipe section is configured to carry the ultrasonic transducer and apply ultrasonic waves to the flow detection pipe section.

[0073] The second ultrasonic sensor is configured to convert the received ultrasonic waves into flow electric signals.

[0074] The second adapter pipe head is configured to modularly access the measurement pipe section.

[0075] In the embodiment, the control module is used for emitting a signal to excite the sensor; the density data acquisition module is used for applying ultrasonic waves to the density detection pipe section, receiving the ultrasonic waves by the sensor and converting the ultrasonic waves into an electric signal; the flow data acquisition module is used for applying ultrasonic waves to the flow detection pipe section, receiving the ultrasonic waves by the sensor and converting the ultrasonic waves into an electric signal; the data processing module is used for filtering the digital signal and analyzing the density and flow of the cement slurry according to the filtered acoustic wave data; the data transmission module comprises a wired interface, a 4G and wireless network communication unit and is used for outputting the analyzed data to a control end; the data storage module is used for storing and backing up the output data locally; and the display control module is used for directly monitoring the working state on the local machine and adjusting parameters. The cement slurry flowing in the pipe can be monitored in terms of the density and flow parameters.

[0076] Embodiment 2

[0077] As shown in Figure 2 The present application provides a method for detecting the density and flow of grouting, and the implementation method is as follows:

[0078] S1, an electric signal is emitted by the control module to excite the ultrasonic density sensor and the ultrasonic flow sensor;

[0079] S2, the electric signal is converted into ultrasonic waves by the piezoelectric effect of the ultrasonic density sensor, the ultrasonic waves are applied to the density detection pipe section, and the ultrasonic density sensor receives the ultrasonic waves and converts them into a density electric signal, wherein the ultrasonic density sensor is located on both sides of the density detection pipe section;

[0080] S3, the electric signal is converted into ultrasonic waves by the piezoelectric effect of the ultrasonic flow sensor, the ultrasonic waves are applied to the flow detection pipe section, and the ultrasonic flow sensor receives the ultrasonic waves and converts them into a flow electric signal, wherein the ultrasonic flow sensor is located on both sides of the flow detection pipe section;

[0081] S4, the density electric signal and the flow electric signal are filtered by the data processing module, and the grouting density and the grouting flow are analyzed according to the filtered acoustic wave data.

[0082] In the embodiment, the analysis of the grouting density is as follows:

[0083] A1, the total average number M of the empirical mode decomposition EEMD algorithm and the signal amplitude coefficient a of the white noise are set; the total average number M of the empirical mode decomposition EEMD algorithm is set, which aims to determine the total number of decompositions after adding different Gaussian white noises to the original signal, improve the stability of the decomposition result, set the signal amplitude coefficient a of the white noise, which aims to control the intensity of the Gaussian white noise added to the original signal, weaken the local discontinuity of the original signal and ensure the frequency resolution of the decomposition result

[0084] A2, EEMD decomposition is performed to obtain IMFs, and the first three IMFs are taken as characteristic modal components for recognition and signal reconstruction;

[0085] A3, the selected characteristic modal components are analyzed, and the weight coefficient is set to perform signal reconstruction, and the expression of the reconstructed signal is as follows:

[0086] y r (t) = imf1 + βimf2 + imf3 i = 1, 2, 3

[0087] Where y r (t) represents the reconstructed signal, imf i represents the i-th mode, and β represents the weight coefficient;

[0088] A4, find the maximum peak points of the reconstructed signal in time domain and frequency domain by using the following formula:

[0089] ρ = -17.45t - 8.141f + 618.414t 2 -7674.316t 3 + 2.809f 3 + 6.66

[0090] Where ρ represents the density value of the cement slurry, t represents the time domain maximum peak, and f represents the frequency domain maximum peak;

[0091] A5, calculate the frequency domain area of the first three IMFs to perform neural network recognition by using the following formula:

[0092] A i = ∫|x i (f)|df i = 1, 2, 3

[0093] Where A i represents the frequency domain area of the i-th IMF, and x i (f) represents the amplitude of the i-th IMF component at the frequency domain maximum peak f;

[0094] A6, the calculated frequency domain area is input into the neural network, and the grouting density is output.

[0095] In this embodiment, the grouting flow is analyzed, which is specifically:

[0096] B1, according to the filtered acoustic wave data, the transmission wavelength is calculated by using the Doppler effect:

[0097]

[0098] Where c represents the propagation speed of the acoustic wave in the static fluid, f represents the frequency of the acoustic wave reflected by the cement particles, and λ represents the transmission wavelength.

[0099] B2, determining the receiving frequency according to the relationship among the sound velocity, the transmitting frequency, the frequency of the reflected sound wave of the cement particles and the frequency received by the receiving transducer;

[0100] In the embodiment, according to the acoustic principle, the transducer transmits and receives the same wavelength, the receiving frequency is determined according to the relationship among the sound velocity, the transmitting frequency, the frequency of the reflected sound wave of the cement particles and the frequency received by the receiving transducer, and the expression is as follows:

[0101]

[0102] Wherein, f R represents the frequency received by the receiving transducer, f T represents the transmitting frequency of the transmitting transducer, θ represents the incident angle of the sound wave and the inner wall of the pipe, and v represents the flow rate of the slurry.

[0103] B3, the grouting flow is calculated based on the transmitting wavelength and the receiving frequency, and the grouting flow is completed:

[0104]

[0105] Wherein, Q represents the flow of the cement slurry.

[0106] In summary, through the above design, the automatic data acquisition, data processing, transmission determination and result display of the cement slurry grouting density and flow are realized.

[0107] Embodiment 3

[0108] The application provides an electronic device, which comprises a memory, a processor and a computer program stored in the memory and running on the processor, and the processor executes the program to realize part or all steps of the grouting density and flow detection method in embodiment 2, and the specific steps are as follows:

[0109] C1, receiving the density electric signal and the flow electric signal from an external device or an internal module;

[0110] C2, performing processing on the received density and flow sound wave data, including the steps of the method in embodiment 2;

[0111] C3, storing the processed density data and flow data in the memory or transmitting the processed density data and flow data to an external device through a communication module; the electronic device can be a smart terminal, a server or an embedded system.

[0112] In the embodiment, the electronic device can include a processor, a memory, a bus and a communication interface, the processor, the communication interface and the memory are connected through the bus, the memory stores a computer program capable of running on the processor, and the processor executes part or all steps of the grouting density and flow detection method described in the preceding embodiment 2 when running the computer program.

[0113] Embodiment 4

[0114] The application provides a computer readable storage medium, which stores a computer program, and part or all steps of the grouting density and flow detection method described in the embodiment 2 are implemented when the computer program is executed, and the steps are specifically as follows:

[0115] D1, receiving parameters such as the total average number M of user input and the signal amplitude coefficient a of Gaussian white noise;

[0116] D2, after saving the input parameters, processing the received density and flow sound wave signals;

[0117] D3, calling an algorithm or a logic module to implement the steps of the method described in the embodiment 2;

[0118] D4, outputting the density data and the flow data and storing them to a specified position; the storage medium can be a hard disk, a solid state disk, an optical disk or other readable storage devices.

[0119] The computer readable storage medium can be realized by any type of volatile or non-volatile storage device or their combination, such as static random access memory (SRAM), erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk, and the readable storage medium can be any available medium that can be accessed by a general-purpose or special-purpose computer. The readable storage medium is coupled to the processor, so that the processor can read information from the readable storage medium and write information to the readable storage medium, the readable storage medium can also be a component of the processor, and the processor and the readable storage medium can be located in an application specific integrated circuit (ASIC), or the processor and the readable storage medium can exist as discrete components in the point registration system.

[0120] The present invention can provide methods, apparatuses, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) including computer-usable program code. Referring to the flowcharts and / or block diagrams of methods, apparatuses, and computer program products according to embodiments of the present invention, it should be understood that each flowchart and / or block diagram, and combinations thereof, can be implemented by computer program instructions. These computer program instructions can be provided to a computer-readable storage medium that operates in a particular manner on a general-purpose computer, special-purpose computer, embedded computer, or other programmable data processing device, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means implemented in the flowchart. Figure 1 One or more processes and / or boxes Figure 1 The functions specified in one or more boxes in the flowchart. These computer program instructions may also be accreted to a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable apparatus for implementing one or more processes and / or boxes in the flowchart. Figure 1 The steps of the function specified in one or more boxes.

[0121] It should be noted that the specific embodiments described above are exemplary, and those skilled in the art can devise various solutions inspired by the disclosure of this invention. These solutions all fall within the scope of this invention and its protection. Those skilled in the art should understand that this specification and its accompanying drawings are illustrative and not intended to limit the scope of the claims. The scope of protection of this invention is defined by the claims and their equivalents.

Claims

1. A device for detecting grout density and flow rate, characterized in that, include: The control module is used to transmit signals to excite the ultrasonic flow sensor and the ultrasonic density sensor respectively; The density data acquisition module is used to apply ultrasonic waves to the grout density detection pipe section and use an ultrasonic density sensor to convert the received ultrasonic waves into density electrical signals. The flow data acquisition module is used to apply ultrasonic waves to the flow detection pipe section and use an ultrasonic flow sensor to convert the received ultrasonic waves into flow electrical signals. The data processing module is used to filter the density electrical signal and the flow electrical signal respectively, and analyze the grouting density and flow rate based on the filtered acoustic data. The specific details of the grouting density analysis are as follows: Set the overall average number of iterations for the Empirical Mode Decomposition (EEMD) algorithm. and the signal amplitude coefficient of white noise ; Empirical Mode Decomposition (EEMD) is performed to obtain IMFs, and the first three IMFs are taken as the characteristic mode components for identification and signal reconstruction. The selected characteristic mode components are analyzed, and after setting weighting coefficients, the signal is reconstructed. The expression of the reconstructed signal is as follows: in, Indicates a recombination signal. Indicates the first One modality, Indicates the weighting coefficient; Use the following formula to find the maximum peak points of the reconstructed signal in the time and frequency domains: in, This indicates the density value of the cement paste. Indicates the maximum peak value in the time domain. Indicates the maximum peak value in the frequency domain; The frequency domain area of ​​the first three IMFs is calculated using the following formula for neural network identification: in, Indicates the first Frequency domain area of ​​an IMF Indicates the first The maximum peak value of each IMF component in the frequency domain The amplitude at that point; The calculated frequency domain area is imported into a neural network to output the grouting density. The data transmission module is used to transmit the grouting density and flow rate information obtained from the analysis to the control terminal; The data storage module is used to store the analytical grouting density data and flow rate data obtained from the analysis. The display control module is used to monitor the operating status of the detection device and adjust its parameters on the local machine.

2. The grouting density and flow rate detection device according to claim 1, characterized in that, The density data acquisition module includes: The first acquisition pipe section is used to carry the ultrasonic transducer and apply ultrasonic waves to the grout density detection pipe section. The first ultrasonic sensor is used to convert the received ultrasonic waves into density electrical signals; The first adapter is used to modularly connect the measuring pipe section.

3. The grouting density and flow rate detection device according to claim 1, characterized in that, The traffic data acquisition module includes: The second acquisition pipe section is used to carry the ultrasonic transducer and apply ultrasonic waves to the flow detection pipe section; The second ultrasonic sensor is used to convert the received ultrasonic waves into a flow electrical signal; The second adapter is used to modularly connect the measuring pipe section.

4. A method for detecting grout density and flow rate, characterized in that, Includes the following steps: S1. The control module sends an electrical signal to excite the ultrasonic density sensor and the ultrasonic flow sensor respectively. S2. Using an ultrasonic density sensor, an electrical signal is converted into ultrasonic waves through the piezoelectric effect, and ultrasonic waves are applied to the density detection tube section. The ultrasonic density sensor is used to receive the ultrasonic waves and convert them into density electrical signals. The ultrasonic density sensor is located on both sides of the density detection tube section. S3. Using an ultrasonic flow sensor, an electrical signal is converted into ultrasonic waves through the piezoelectric effect, and ultrasonic waves are applied to the flow detection pipe section. The ultrasonic flow transmitter receives the ultrasonic waves and converts them into flow electrical signals. The ultrasonic flow sensor is located on both sides of the flow detection pipe section. S4. The density electrical signal and the flow electrical signal are filtered using the data processing module, and the grouting density and grouting flow rate are analyzed based on the filtered acoustic data. The specific details of the grouting density analysis are as follows: A1. Set the overall average number of iterations for the Empirical Mode Decomposition (EEMD) algorithm. and the signal amplitude coefficient of white noise ; A2. Perform Empirical Mode Decomposition (EEMD) to obtain IMFs, and take the first 3 IMFs as the characteristic mode components for identification and signal reconstruction. A3. Analyze the selected characteristic mode components, set weighting coefficients, and then reconstruct the signal. The expression for the reconstructed signal is as follows: in, Indicates a recombination signal. Indicates the first One modality, Indicates the weighting coefficient; A4. Use the following formula to find the maximum peak points of the reconstructed signal in the time and frequency domains: in, This indicates the density value of the cement paste. Indicates the maximum peak value in the time domain. Indicates the maximum peak value in the frequency domain; A5. Using the following formula, calculate the frequency domain area of ​​the first three IMFs for neural network identification: in, Indicates the first Frequency domain area of ​​an IMF Indicates the first The maximum peak value of each IMF component in the frequency domain The amplitude at that point; A6. Import the calculated frequency domain area into the neural network to output the grouting density.

5. The method for detecting grout density and flow rate according to claim 4, characterized in that, The grouting flow rate analyzed is specifically as follows: B1. Calculate the emission wavelength based on the filtered acoustic wave data using the Doppler effect; B2. Determine the receiving frequency based on the relationship between the speed of sound, the transmission frequency, the frequency of the sound wave reflected by the cement particles, and the frequency received by the receiving transducer. B3. Based on the transmission wavelength and receiving frequency, the grouting flow rate is calculated, and the grouting flow rate is completed.

6. An electronic device, characterized in that, The system includes a memory, a processor, and a computer program stored in the memory and running on the processor. The processor executes the program to implement the steps of the method for detecting grout density and flow rate as described in any one of claims 4-5, specifically: C1. Receive density electrical signals and flow electrical signals from external devices or internal modules; C2. Processing the received density and flow acoustic data, including the steps of the method as described in any one of claims 4-5; C3. Store the processed density data and flow data in the memory or transmit them to an external device via a communication module; the electronic device may be a smart terminal, a server, or an embedded system.

7. A computer-readable storage medium storing a computer program, characterized in that, The steps of implementing the grouting density and flow rate detection method as described in any one of claims 4-5 when executing the computer program are as follows: D1. The overall average number of times user input is received. And the signal amplitude coefficient of Gaussian white noise; D2. After saving the input parameters, process the received density and flow rate acoustic signals; D3. Invoke the algorithm or logic module to implement the method described in any of claims 4-5; D4. Output density data and flow data and store them in a specified location; the storage medium can be a hard disk, solid-state drive, optical disk, or other readable storage device.

Images