Flow detection method and device for centrifugal slurry pump

Abstract

The invention discloses a flow detection method and device for a centrifugal slurry pump, and relates to the field of flow detection. The method is applied to a flow detection device and comprises the steps that after an ultrasonic transmitter transmits an ultrasonic detection signal to a target pipeline, an echo signal of the target pipeline is obtained, and the echo signal is converted into a first flow value; judging whether the first flow value is within a preset flow range or not; if not, obtaining an impeller resistance value of the slurry pump; converting the impeller resistance value into a compensation coefficient, and compensating the first flow value by adopting a flow compensation equation to obtain a second flow value; and the second flow value is uploaded to a slurry pump control system, so that the slurry pump control system adjusts the flow output of the slurry pump according to the second flow value. By implementing the technical scheme provided by the invention, the problem that the accuracy of flow detection is reduced due to the fact that the propagation path of ultrasonic waves is changed by particle-containing ore pulp is solved.

Description

Technical Field

[0001] The present application relates to the technical field of flow detection, and in particular to a flow detection method and device for a centrifugal slurry pump. Background Art

[0002] In the mining industry, it is necessary to transport slurry containing ore particles. In the past, manual transportation was not only costly but also inefficient. Therefore, slurry pumps adapted to this working condition came into being. Slurry pumps are a type of centrifugal pump. Compared with traditional centrifugal pumps, slurry pumps use a unique open impeller or semi-open impeller structure, which is wear-resistant and does not easily accumulate particles.

[0003] At present, when using a centrifugal slurry pump to transport particle-containing slurry, in order to avoid frequent impact of ore particles on the conveying pipeline and cause damage to the pipeline, it is necessary to detect the output flow of the centrifugal slurry pump and adjust its output power in time; due to the particularity of the conveyed fluid, it is difficult to directly detect its flow, so most of them use ultrasonic flow meters for non-contact detection, which sends ultrasonic waves to the pipeline, and then converts the downstream and upstream propagation time difference in the echo signal into the corresponding flow value, thereby realizing non-contact detection of the centrifugal slurry pump.

[0004] However, the composition of particle-containing slurry is non-uniform, and the ore particles therein are of different sizes, which causes the propagation path of the ultrasonic wave in the above detection method to change, thereby causing errors in the detected echo signal, thereby reducing the accuracy of flow detection. Summary of the invention

[0005] In order to solve the problem that particle-containing slurry causes the propagation path of ultrasonic waves to change, thereby reducing the accuracy of flow detection, the present application provides a flow detection method and device for a centrifugal slurry pump.

[0006] In a first aspect, the present application provides a flow detection method for a centrifugal slurry pump, which is applied to a flow detection device, and the method comprises: After the ultrasonic transmitter transmits an ultrasonic detection signal to the target pipeline, an echo signal of the target pipeline is obtained, and the echo signal is converted into a first flow value; Determining whether the first flow rate value is within a preset flow rate range; If not, obtain the impeller resistance value of the slurry pump; Converting the impeller resistance value into a compensation coefficient, and using a flow compensation equation to compensate the first flow value to obtain a second flow value; The second flow value is uploaded to a slurry pump control system, so that the slurry pump control system adjusts the flow output of the slurry pump according to the second flow value.

[0007] Optionally, the acquiring the echo signal of the target pipeline further includes: Obtaining basic parameters of the target pipeline, wherein the basic parameters include pipe diameter, pipe material, detection distance, and fluid composition; Standardizing the basic parameters and generating a parameter matrix; The parameter matrix is ​​input into a convolutional neural network for convolution, pooling and full connection processing to obtain the acquisition frequency of the echo signal.

[0008] Optionally, the acquiring the echo signal of the target pipeline further includes: Acquiring the ultrasonic detection signal and the ultrasonic detection signal; Performing continuous wavelet transform on the ultrasonic detection signal and the ultrasonic detection signal to obtain a first time-frequency spectrum of the ultrasonic detection signal and a second time-frequency spectrum of the ultrasonic detection signal; Performing image matching on the first time-frequency spectrum and the second time-frequency spectrum to obtain a registration point; Based on the registration point, performing synchronous compression transformation on the second time-frequency spectrum to obtain a compressed time-frequency spectrum; Performing inverse wavelet transform on the compressed time-frequency spectrum to obtain the echo signal.

[0009] Optionally, reading a variation curve of the impeller resistance value, and extracting a mutation curve in the variation curve; Performing characteristic analysis on the mutation curve to obtain the mutation amplitude and mutation time of the mutation curve; Obtaining the viscosity coefficient of the slurry; The compensation coefficient is calculated according to the mutation amplitude, mutation time and viscosity coefficient.

[0010] Optionally, the compensation coefficient is calculated according to the mutation amplitude, mutation time and viscosity coefficient, specifically using the following formula: in, is the compensation coefficient, is the mutation amplitude, is the mutation time, is the viscosity coefficient.

[0011] Optionally, the flow compensation equation is specifically: Where, Q is the second flow value, is the first flow value, is the propagation speed of ultrasound in the fluid under standard working conditions, is the propagation speed of ultrasonic waves in the fluid under actual working conditions, is the compensation coefficient.

[0012] In a second aspect, the present application provides a flow detection device for a centrifugal slurry pump, wherein the device is a flow detection device, and the flow detection device includes an acquisition module, a processing module, and a sending module, wherein: The acquisition module is used to acquire the echo signal of the target pipeline after the ultrasonic transmitter transmits the ultrasonic detection signal to the target pipeline, and convert the echo signal into a first flow value; The processing module is used to determine whether the first flow value is within a preset flow range; if not, obtain the impeller resistance value of the slurry pump; convert the impeller resistance value into a compensation coefficient, and use a flow compensation equation to compensate the first flow value to obtain a second flow value; The sending module is used to upload the second flow value to a slurry pump control system, so that the slurry pump control system adjusts the flow output of the slurry pump according to the second flow value.

[0013] In a third aspect, the present application provides an electronic device comprising a processor, a memory, a user interface and a network interface, wherein the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes a method as described in any one of the first aspects.

[0014] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores instructions, and when the instructions are executed, the method as described in any one of the first aspects is executed.

[0015] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. This application monitors the current ultrasonic echo signal of the target pipeline and converts the echo signal into the current first flow value of the pipeline. Since the slurry contains ore particles, it will cause disturbance of the flow value. Therefore, by judging whether the first flow value is within the preset flow range, the size of the ore particles is judged. It can be understood that for larger ore particles, the disturbance of the flow value will also be more obvious, resulting in the first flow value detected being inaccurate. When the slurry containing ore particles enters the pump body of the slurry pump, it will cause impact resistance to the impeller. When the first flow value is not within the preset flow range, it means that the resistance caused by the current size of ore particles to the impeller is large. This application monitors this resistance change and converts it into a flow compensation coefficient, and then uses the flow compensation equation to compensate the first flow value, thereby obtaining a more real and accurate second flow value, so that the slurry pump control system can better adjust the slurry pump power to achieve normal output of pipeline flow.

[0016] 2. When monitoring the first flow value, the echo signal contains more disturbances due to the influence of many factors. In order to improve the accuracy of the first flow value, the present application performs continuous wavelet transform on the ultrasonic detection signal emitted by the signal transmitting source and the ultrasonic detection signal detected by the signal receiving end to obtain the first time-frequency spectrum corresponding to the ultrasonic detection signal and the second time-frequency spectrum corresponding to the ultrasonic detection signal. The time-frequency spectrum at this time can characterize the energy distribution in the signal, and among the many influencing factors in the echo signal, the pipe diameter, pipe material, detection distance and fluid composition account for the main proportion. Therefore, the present application finds the registration points of various influencing factors through image matching of the first time-frequency spectrum and the second time-frequency spectrum, and then combines the energy signal characteristics of each major influencing factor to perform synchronous compression transformation on the time-frequency curves at each registration point according to different energy compression ratios, so that the energy signals of these major disturbances are more concentrated, and finally the compressed second time-frequency spectrum is inversely transformed to reduce the wavelet coefficients of the disturbance part and reconstruct a more accurate echo signal. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a flow chart of a flow detection method for a centrifugal slurry pump provided in an embodiment of the present application.

[0019] Figure 2 It is a structural schematic diagram of a flow detection device for a centrifugal slurry pump provided in an embodiment of the present application.

[0020] Figure 3 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application.

[0021] Explanation of the reference numerals: 1. Acquisition module; 2. Processing module; 3. Sending module; 300. Electronic device; 301. Processor; 302. Communication bus; 303. User interface; 304. Network interface; 305. Memory. DETAILED DESCRIPTION

[0022] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0023] In the description of the embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.

[0024] In the description of the embodiments of the present application, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0025] In the complex process of mining and processing, the slurry transportation link plays a pivotal role. For a long time, if the slurry containing ore particles is to be transported from the mining site to the subsequent processing site, the traditional manual transportation method not only consumes a lot of manpower costs, but also has extremely low transportation efficiency due to the high labor intensity of workers and cumbersome operation procedures, making it difficult to meet the growing demand for mining production. Against this background, slurry pumps have emerged as a high-efficiency transportation equipment designed specifically for such working conditions. Slurry pumps are essentially centrifugal pumps, which have been cleverly improved for the special properties of slurry. Compared with conventional centrifugal pumps, it uses an open impeller or semi-open impeller structure, which makes it difficult for particles to accumulate inside the impeller during frequent contact and friction with ore particles due to the wear-resistant material on the impeller surface and the open structure, effectively avoiding problems such as impeller imbalance, increased wear and even equipment failure caused by accumulation.

[0026] At present, when using centrifugal slurry pumps to transport particle-containing slurry over long distances or on a large scale, since the slurry contains a large number of ore particles of different sizes and textures, these particles will continuously hit the inner wall of the pipeline during high-speed flow. Over time, the pipeline is prone to serious damage such as wear, deformation, and even rupture, which will not only cause slurry leakage, waste of resources and environmental pollution, but may also cause the entire transportation system to be paralyzed, resulting in huge economic losses. Therefore, accurately detecting the output flow of centrifugal slurry pumps and adjusting their output power in a timely manner based on the test results have become core measures to ensure the safe operation of pipelines.

[0027] Since ore slurry is a non-uniform fluid containing solid ore particles, conventional contact flow detection is very likely to cause damage to the detection instrument. Therefore, non-contact ultrasonic detection is often used. It sends ultrasonic waves to the pipeline and then converts the downstream and upstream propagation time difference in the echo signal into the corresponding flow value, thereby realizing non-contact detection of centrifugal slurry pumps. However, when the ultrasonic wave emitted to the conveying pipeline passes through this non-uniform medium, the propagation path will be seriously disturbed by the ore particles. When the particles are large, the ultrasonic wave will undergo obvious scattering, changing the propagation direction and failing to propagate along the expected straight line or stable path. As a result, the received echo signal deviates significantly from the ideal state in a uniform fluid, thereby reducing the accuracy of flow detection.

[0028] In order to solve the above problems, the present application provides a flow detection method for a centrifugal slurry pump, which is applied to a flow detection device, such as Figure 1 As shown, the method includes steps S101 to S105, which are as follows: S101. After an ultrasonic transmitter transmits an ultrasonic detection signal to a target pipeline, an echo signal of the target pipeline is acquired and the echo signal is converted into a first flow value.

[0029] In the above steps, when monitoring the flow of the target pipeline, the monitoring accuracy of the flow will change due to the influence of some basic parameters of the target pipeline. At this time, it is necessary to adjust the acquisition frequency of the echo signal to reduce the influence of the basic parameters on the flow monitoring. Specifically: Before the ultrasonic transmitter transmits the ultrasonic detection signal to the target pipeline, the basic parameters of the target pipeline are first obtained, which include the pipe diameter, pipe material, detection distance and fluid composition; then, the basic parameters are standardized and a parameter matrix is ​​generated; wherein, the standardization process is to match the associated data of each data in the basic parameters with the corresponding associated database, obtain multiple numerical data with higher associated attributes corresponding to each data, and then query multiple data with the same attributes in the multiple numerical data corresponding to each data, and finally use the multiple data with the same attributes as the standardized processing results. For example, for the same attribute data "pipe diameter", for the pipe diameter, the "pipe diameter" itself is the data with a high correlation degree; for the pipe material, different pipe materials require different pipe diameters to adapt to the internal pressure in the pipe; for the detection distance, different pipe diameters require different detection distances to have a better detection effect; for the fluid composition, different fluid compositions require different pipe diameters to ensure the smooth transportation of the fluid. It should be noted that the optimal value of each data in the basic parameters for the same attribute data is not necessarily the same. Therefore, by constructing the standardized processing result into a parameter matrix, and then inputting the parameter matrix into the convolutional neural network for convolution, pooling and full connection processing, the echo acquisition frequency is adjusted from multiple dimensions to make its acquisition frequency more suitable for the current pipeline.

[0030] In a possible implementation, when acquiring the echo signal of the target pipeline, due to the presence of many interference factors in the pipeline environment, there is a lot of noise in the echo signal, which results in an inaccurate first flow value calculated from the echo signal. In order to solve this problem, the present application utilizes the characteristic that the ultrasonic signal emitted by the signal transmitting source does not contain noise, and uses it as a reference, thereby providing an effective analysis basis for analyzing the interference factors in the ultrasonic detection signal detected by the signal receiving end, and also facilitates the subsequent targeted signal noise reduction of the interference factors in the ultrasonic detection signal. Specifically: First, a continuous wavelet transform is performed on the ultrasonic detection signal emitted by the signal transmitting source and the ultrasonic detection signal detected by the signal receiving end to obtain a first time-frequency spectrum corresponding to the ultrasonic detection signal and a second time-frequency spectrum corresponding to the ultrasonic detection signal. The time-frequency spectrum at this time can characterize the energy distribution in the signal, and among the many influencing factors in the echo signal, the pipe diameter, pipe material, detection distance and fluid composition account for the main proportion. Therefore, the present application finds the registration points of various influencing factors through image matching of the first time-frequency spectrum and the second time-frequency spectrum. It should be explained here that due to slight changes in the propagation media such as pipes and fluids through which the ultrasonic detection signal passes, the interference factors in the second time-frequency spectrum are not concentrated at certain registration points, but show a wide distribution range and the disturbance amplitude is not obvious. Therefore, the interference signal at the registration point in the second time-frequency spectrum cannot be simply eliminated, otherwise it will cause more serious distortion in the second time-frequency spectrum. Therefore, the present application combines the energy signal characteristics of each major influencing factor, and performs synchronous compression transformation on the time-frequency curve at each registration point according to different energy compression ratios, so that the energy signals of these major disturbances are concentrated in their respective normal intervals, and finally performs inverse wavelet transformation on the compressed second time-frequency spectrum to reduce the wavelet coefficients of the disturbance part, and then uses the denoising signal algorithm to reconstruct a more accurate echo signal. The above method can not only process the disordered interference signals in the echo signal, making the identification of the interference signals simpler and more effective, but also does not require a complex denoising algorithm, and reduces the difficulty of noise signal processing by concentrating the interference signals in their corresponding denoising intervals.

[0031] S102: Determine whether the first flow rate value is within a preset flow rate range.

[0032] S103: If not, obtain the impeller resistance value of the slurry pump.

[0033] S104, converting the impeller resistance value into a compensation coefficient, and using a flow compensation equation to compensate the first flow value to obtain a second flow value.

[0034] In the above steps S102 to S104, the preset flow range can be understood as the allowable flow variation range compared with the ideal flow value. When the first flow value is within the preset flow range, it means that the fluid in the pipeline is relatively uniform and contains fewer ore particles. At this time, the echo signal is less disturbed, so the first flow value can be used as the current true flow value of the target pipeline. When the first flow value is not within the preset flow range, it means that there are larger ore particles in the current pipeline. Such larger ore particles will not only change the propagation path of the ultrasonic signal, causing an erroneous estimation of the pipeline flow, but also cause the fluid circulation to slow down. At this time, if the flow value calculated by the echo signal is still used to control the power of the slag pump, it will seriously affect the normal transportation of the fluid in the pipeline. Therefore, the present application detects the impeller resistance value of the slurry pump to infer the particle size of the ore, and then infers the degree of influence of the ore particles on the fluid, and then uses this degree of influence as the compensation coefficient of the first flow value currently detected, so that the first flow value is closer to the actual flow in the pipeline. Specifically: First, read the change curve of the impeller resistance value. Under normal circumstances, the change curve of the impeller resistance value is in a stable state. When there are large mineral particles in the pump body of the slurry pump, it will cause impact on the impeller. At this time, the change curve of the impeller resistance value will show a mutation. At this time, by extracting this mutation curve, and then performing characteristic analysis on the mutation curve, the mutation amplitude and mutation time of this mutation are obtained. Here, it is equivalent to expressing the size of the ore in terms of mutation amplitude and mutation time. Since the viscosity of the slurry itself will also cause resistance to the impeller, and when larger ore particles are mixed into the slurry, this resistance will change significantly. Therefore, this application also obtains the viscosity coefficient of the slurry, and finally calculates the compensation coefficient (degree of influence) for the flow rate based on the mutation amplitude, mutation time and viscosity coefficient. The specific calculation method is the following formula: in, is the compensation coefficient, is the mutation amplitude, is the mutation time, is the viscosity coefficient.

[0035] In the above formula, since the mutation amplitude has a more direct effect on the fluid, while the mutation time and viscosity coefficient have a relatively indirect effect, the mutation amplitude is set on the numerator. When the mutation amplitude increases, the increase in the mutation amplitude in the denominator has a more significant effect on the compensation coefficient than the mutation time and viscosity coefficient; when the mutation time increases, Increases, the denominator increases, and the compensation coefficient decreases. This reflects that if the resistance mutation time is long, the fluid has more time to adapt, the impact on the flow rate is relatively small, and no large compensation is required; similarly, when the viscosity coefficient increases, the denominator increases and the compensation coefficient decreases, because the high viscosity fluid responds relatively slowly to the change in resistance.

[0036] When compensating the first flow value, a flow compensation equation may be used to correct the first flow value, and specifically, the following formula may be used: Where, Q is the second flow value, is the first flow value, is the propagation speed of ultrasound in the fluid under standard working conditions, is the propagation speed of ultrasonic waves in the fluid under actual working conditions, is the compensation coefficient.

[0037] In the above formula, since the ultrasonic signal is affected by the ore particles, the propagation speed of the ultrasonic wave in the fluid is different from that under standard working conditions. To express this difference value, and then multiply it by the compensation coefficient to correct the difference value. At this time, the comprehensive influence of ore particles, fluid and ultrasonic signals on the flow rate is comprehensively considered, so that the calculated flow rate can more truly reflect the actual fluid flow situation.

[0038] S105, uploading the second flow value to the slurry pump control system, so that the slurry pump control system adjusts the flow output of the slurry pump according to the second flow value.

[0039] In the above steps, the second flow value can reflect the current flow value of the target pipeline. Therefore, after uploading the second flow value to the slurry pump control system, the slurry pump control system controls the power of the slurry pump according to the second flow value, thereby controlling the fluid flow speed in the pipeline, thereby ensuring smooth flow of the fluid in the pipeline.

[0040] Reference Figure 2 The present application also provides a flow detection device for a centrifugal slurry pump, the device is a flow detection device, the flow detection device includes an acquisition module, a processing module and a sending module, wherein: an acquisition module, configured to acquire an echo signal of the target pipeline after the ultrasonic transmitter transmits an ultrasonic detection signal to the target pipeline, and convert the echo signal into a first flow value; A processing module, used for determining whether the first flow value is within a preset flow range; if not, obtaining an impeller resistance value of the slurry pump; converting the impeller resistance value into a compensation coefficient, and using a flow compensation equation to compensate the first flow value to obtain a second flow value; The sending module is used to upload the second flow value to the slurry pump control system, so that the slurry pump control system adjusts the flow output of the slurry pump according to the second flow value.

[0041] Optionally, obtaining the echo signal of the target pipeline also includes: Obtain the basic parameters of the target pipeline, including pipe diameter, pipe material, detection distance, and fluid composition; Standardize the basic parameters and generate a parameter matrix; The parameter matrix is ​​input into the convolutional neural network for convolution, pooling and full connection processing to obtain the acquisition frequency of the echo signal.

[0042] Optionally, the echo signal of the target pipeline is obtained, which specifically includes: Acquiring ultrasonic detection signals and ultrasonic detection signals; Performing continuous wavelet transform on the ultrasonic detection signal and the ultrasonic detection signal to obtain a first time-frequency spectrum of the ultrasonic detection signal and a second time-frequency spectrum of the ultrasonic detection signal; Perform image matching on the first time-frequency spectrum and the second time-frequency spectrum to obtain a registration point; Based on the registration point, synchronous compression transformation is performed on the second time-frequency spectrum to obtain a compressed time-frequency spectrum; Perform inverse wavelet transform on the compressed time-frequency spectrum to obtain the echo signal.

[0043] Optionally, reading a variation curve of the impeller resistance value, and extracting a mutation curve in the variation curve; Perform characteristic analysis on the mutation curve to obtain the mutation amplitude and mutation time of the mutation curve; Obtaining the viscosity coefficient of the slurry; The compensation coefficient is calculated based on the mutation amplitude, mutation time and viscosity coefficient.

[0044] Optionally, the compensation coefficient is calculated according to the mutation amplitude, mutation time and viscosity coefficient, and the specific formula is as follows: in, is the compensation coefficient, is the mutation amplitude, is the mutation time, is the viscosity coefficient.

[0045] Optionally, the flow compensation equation is specifically: Where, Q is the second flow value, is the first flow value, is the propagation speed of ultrasound in the fluid under standard working conditions, is the propagation speed of ultrasonic waves in the fluid under actual working conditions, is the compensation coefficient.

[0046] It should be noted that: when the device provided in the above embodiment realizes its function, only the division of the above functional modules is used as an example. In actual application, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0047] The present application also discloses an electronic device. Figure 3 , Figure 3 The electronic device 300 may include: at least one processor 301 , at least one network interface 304 , a user interface 303 , a memory 305 , and at least one communication bus 302 .

[0048] The communication bus 302 is used to realize the connection and communication between these components.

[0049] The user interface 303 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 303 may also include a standard wired interface and a wireless interface.

[0050] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0051] Among them, the processor 301 may include one or more processing cores. The processor 301 uses various interfaces and lines to connect various parts in the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305. Optionally, the processor 301 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 301 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 301, and it can be implemented separately through a chip.

[0052] Among them, the memory 305 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 305 may optionally also be at least one storage device located away from the aforementioned processor 301. Refer to Figure 3 The memory 305 as a computer storage medium may include an operating system, a network communication module, a user interface module, and an application program of a flow detection method for a centrifugal slurry pump.

[0053] exist Figure 3In the electronic device 300 shown, the user interface 303 is mainly used to provide an input interface for the user and obtain the data input by the user; and the processor 301 can be used to call the application program stored in the memory 305 for a flow detection method of a centrifugal slurry pump. When executed by one or more processors 301, the electronic device 300 executes one or more of the methods described in the above embodiments. It should be noted that for the aforementioned method embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0054] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0055] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of units, which is only a logical function division. 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 through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0056] 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.

[0057] 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.

[0058] 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 memory. Based on this understanding, the technical solution of the present application, 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, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0059] The above is only an exemplary embodiment of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and the truth of practice, those skilled in the art will easily think of other embodiments of the present disclosure.

[0060] This application is intended to cover any variation, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the art not described in the present disclosure. The description and examples are to be regarded as exemplary only, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A flow detection method for a centrifugal slurry pump, characterized in that: Applied to a flow detection device, the method comprises: After the ultrasonic transmitter transmits an ultrasonic detection signal to the target pipeline, an echo signal of the target pipeline is obtained, and the echo signal is converted into a first flow value; Determining whether the first flow rate value is within a preset flow rate range; If not, obtain the impeller resistance value of the slurry pump; Converting the impeller resistance value into a compensation coefficient, and using a flow compensation equation to compensate the first flow value to obtain a second flow value; The second flow value is uploaded to a slurry pump control system, so that the slurry pump control system adjusts the flow output of the slurry pump according to the second flow value.

2. The method according to claim 1, characterized in that The step of acquiring the echo signal of the target pipeline further comprises: Obtaining basic parameters of the target pipeline, wherein the basic parameters include pipe diameter, pipe material, detection distance, and fluid composition; Standardizing the basic parameters and generating a parameter matrix; The parameter matrix is ​​input into a convolutional neural network for convolution, pooling and full connection processing to obtain the acquisition frequency of the echo signal.

3. The method according to claim 1, characterized in that The step of obtaining the echo signal of the target pipeline further comprises: Acquiring the ultrasonic detection signal and the ultrasonic detection signal; Performing continuous wavelet transform on the ultrasonic detection signal and the ultrasonic detection signal to obtain a first time-frequency spectrum of the ultrasonic detection signal and a second time-frequency spectrum of the ultrasonic detection signal; Performing image matching on the first time-frequency spectrum and the second time-frequency spectrum to obtain a registration point; Based on the registration point, performing synchronous compression transformation on the second time-frequency spectrum to obtain a compressed time-frequency spectrum; Performing inverse wavelet transform on the compressed time-frequency spectrum to obtain the echo signal.

4. The method according to claim 1, characterized in that: The impeller resistance value is converted into a compensation coefficient, specifically: Reading the variation curve of the impeller resistance value, and extracting the mutation curve in the variation curve; Performing characteristic analysis on the mutation curve to obtain the mutation amplitude and mutation time of the mutation curve; Obtaining the viscosity coefficient of the slurry; The compensation coefficient is calculated according to the mutation amplitude, mutation time and viscosity coefficient.

5. The method according to claim 4, characterized in that The compensation coefficient is calculated according to the mutation amplitude, mutation time and viscosity coefficient, specifically using the following formula: in, is the compensation coefficient, is the mutation amplitude, is the mutation time, is the viscosity coefficient.

6. The method according to claim 5, characterized in that The flow compensation equation is specifically: Where, Q is the second flow value, is the first flow value, is the propagation speed of ultrasound in the fluid under standard working conditions, is the propagation speed of ultrasonic waves in the fluid under actual working conditions, is the compensation coefficient.

7. A flow detection device for a centrifugal slurry pump, characterized in that: The device is a flow detection device, comprising an acquisition module (1), a processing module (2) and a sending module (3), wherein: The acquisition module (1) is used to acquire an echo signal of the target pipeline after the ultrasonic transmitter transmits an ultrasonic detection signal to the target pipeline, and convert the echo signal into a first flow value; The processing module (2) is used to determine whether the first flow value is within a preset flow range; if not, obtain the impeller resistance value of the slurry pump; convert the impeller resistance value into a compensation coefficient, and use a flow compensation equation to compensate the first flow value to obtain a second flow value; The sending module (3) is used to upload the second flow value to a slurry pump control system, so that the slurry pump control system adjusts the flow output of the slurry pump according to the second flow value.

8. An electronic device, characterized in that: The electronic device (300) comprises a processor (301), a memory (305), a user interface (303) and a network interface (304), wherein the memory (305) is used to store instructions, the user interface (303) and the network interface (304) are used to communicate with other devices, and the processor (301) is used to execute the instructions stored in the memory (305) so that the electronic device (300) executes the method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed, the method according to any one of claims 1 to 6 is performed.

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