CN112630300B - Intelligent Internet of things ultrasonic probe system and ultrasonic probe replacement prompting method - Google Patents
Intelligent Internet of things ultrasonic probe system and ultrasonic probe replacement prompting method Download PDFInfo
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Abstract
The application discloses ultrasonic probe system of intelligence thing networking and ultrasonic probe's change suggestion method, this system include at least one ultrasonic probe, host computer and cloud ware, and ultrasonic probe includes detecting element and believe circuit board a little, and miniature circuit board includes consumptive material wear sensor and controller, sets up in detecting element top and is connected with detecting element electricity. The consumable wear sensor is used for monitoring consumable wear information of the detection element in real time; the controller is used for processing consumable wear information to obtain a consumable wear value, calculating the measurement accuracy of the detection element, and prompting probe replacement when the consumable wear value is larger than a wear threshold value or the measurement accuracy is smaller than an accuracy threshold value or the working time exceeds a working time threshold value. The suggestion is changed to ultrasonic transducer that can be more accurate, changes the wasting of resources that causes when avoiding the state good to and the potential safety hazard that the excessive wearing and tearing of probe caused, reduce cost promotes the ability to ultrasonic transducer prediction and maintenance.
Description
Technical Field
The specification relates to the technical field of probes, in particular to an intelligent Internet of things ultrasonic probe system and a replacement prompting method for an ultrasonic probe in the intelligent Internet of things ultrasonic probe system.
Background
At present, the quality condition of the steel rail is basically inspected by adopting a small ultrasonic steel rail flaw detector in the railway of China, wherein a conventional ultrasonic probe used is in direct contact with the steel rail, and the ultrasonic probe is quick in abrasion, short in service life and high in consumption due to the poor using environment and long continuous working time.
In order to ensure the accuracy of flaw detection, the ultrasonic probe on the small ultrasonic steel rail flaw detector can be replaced regularly. On one hand, the direct regular replacement of the probe which is still in a good state causes resource waste; on the other hand, for an excessively worn probe, due to the fact that data accuracy is reduced, a time node which is not replaced regularly may not be used, and potential safety hazards are prone to being caused. Meanwhile, the conventional ultrasonic probe is only a passive element and cannot recognize the ID of the ultrasonic probe, so that the use state of the ultrasonic probe cannot be recorded.
Disclosure of Invention
An object of the embodiment of the specification is to provide an intelligent internet of things ultrasonic probe system and a replacement prompting method for an ultrasonic probe in the intelligent internet of things ultrasonic probe system, which can predict the service life of the intelligent internet of things ultrasonic probe according to the actual service condition of the intelligent internet of things ultrasonic probe and prompt replacement.
In order to achieve the above objects, in a first aspect, the present specification provides an intelligent internet of things ultrasonic probe system, which includes at least one ultrasonic probe, an upper computer and a cloud server, wherein,
the ultrasonic probe comprises a detection element and a miniature circuit board, wherein the miniature circuit board comprises a consumable wear calculation module, a controller and a communication module, and the miniature circuit board is arranged above the detection element and is electrically connected with the detection element;
the consumable wear calculation module is used for monitoring consumable wear information of the detection element in real time;
the controller is used for processing the consumable wear information to obtain a consumable wear value, calculating the measurement accuracy of the detection element and recording the working time of the detection element;
the communication module is used for sending the consumable wear value, the measurement accuracy and the working time length to the cloud server through the upper computer;
the upper computer is provided with a probe diagnosis module for analyzing the consumable wear value, the measurement accuracy and the working duration of each ultrasonic probe, and when the consumable wear value is greater than the wear threshold value or the measurement accuracy is less than the accuracy threshold value or the working duration exceeds the working duration threshold value, the probe replacement prompt is carried out.
Optionally, the detecting element includes a plurality of straight probes and inclined probes, and the controller calculates the measurement accuracy of the detecting element according to the following formula:
wherein, cStraight barIs the accuracy coefficient of the straight probe,
is the precision coefficient of the inclined probe (i is 1, …, n is a positive integer), AStraight barFor the measurement accuracy of the straight probe, the calculation formula is as follows:
theta is the sound axis deflection angle index score, and the calculation formula is as follows:
wherein D isx，DyThe offset of the acoustic axis in the x and y directions respectively,
fe is the frequency error index score, and the calculation formula is as follows:
wherein f is the echo frequency of the standard test block, f0The standard frequency of the ultrasonic probe of the intelligent Internet of things is set;
r is the resolving power index score of the probe, and the calculation formula is as follows:
wherein h is the height of the measured wave trough,
phi is the index score of the refraction angle, and the calculation formula is as follows:
the intelligent Internet of things ultrasonic probe comprises an intelligent Internet of things ultrasonic probe body, a standard test block and a base, wherein a is the front edge distance of the intelligent Internet of things ultrasonic probe body, X is the distance between the front edge of the intelligent Internet of things ultrasonic probe body and the standard test block, and L is the standard test block distance.
Optionally, the micro circuit board further includes a memory electrically connected to the controller, and is configured to record the wear value of the consumable, the operating time, and the basic information of the ultrasonic probe.
Optionally, a probe information management system is deployed on the cloud server and used for analyzing the historical consumable wear value, the measurement accuracy and the working duration of each ultrasonic probe system head, and updating the calculation parameter information and the working duration of the ultrasonic probe when the upper computer or the upper computer is started according to the analysis result and the basic information of the ultrasonic probe.
Optionally, the calculation parameter information of the ultrasonic probe includes a collimation coefficient c of the straight probeStraight barPrecision coefficient of tilt probe
Standard frequency f of ultrasonic probe of intelligent Internet of things0Measuring the height h of the wave trough and the deviation D of the sound axis in the x and y directionsx，DyThe front edge distance a of the intelligent Internet of things ultrasonic probe and the distance X between the front edge of the intelligent Internet of things ultrasonic probe and the standard test block are one or more.
Optionally, the probe diagnosis module obtains a health management model by training the working time, the consumable wear value and the measurement accuracy of all the ultrasonic probes, inputs the working time, the consumable wear value and the measurement accuracy of the ultrasonic probes to be tested into the health management model to obtain the predicted service life, and when the predicted service life is smaller than a service life threshold value, the predicted service life is right to prompt the ultrasonic probes of the intelligent internet of things to be tested to replace.
In a second aspect, an embodiment of the present specification provides a method for prompting replacement of an ultrasonic probe in an intelligent internet of things ultrasonic probe system, where the system includes at least one ultrasonic probe, an upper computer, and a cloud server, the ultrasonic probe includes a detection element and a miniature circuit board, the miniature circuit board includes a consumable wear calculation module, a controller, and a communication module, and the method includes:
the consumable wear calculation module monitors consumable wear information of the detection element in real time and sends the consumable wear information to the controller;
the controller receives and processes the consumable wear information to obtain a consumable wear value, calculates the measurement accuracy of the detection element and records the working time of the detection element;
the communication module sends the consumable wear value, the measurement accuracy and the working time to the cloud server through an upper computer;
the probe diagnosis module arranged on the upper computer analyzes consumable wear values, measurement accuracy and working duration of each ultrasonic probe, and when the consumable wear values are larger than a wear threshold value or the measurement accuracy is smaller than an accuracy threshold value or the working duration exceeds a working duration threshold value, probe replacement prompting is carried out.
8. The method for prompting the replacement of the ultrasonic probe in the ultrasonic probe system of the intelligent internet of things according to claim 7, wherein the measurement accuracy of the detection element is calculated by the following formula:
wherein, cStraight barIs the accuracy coefficient of the straight probe,
is the precision coefficient of the inclined probe (i is 1, …, n is a positive integer), AStraight barFor the measurement accuracy of the straight probe, the calculation formula is as follows:
theta is the sound axis deflection angle index score, and the calculation formula is as follows:
wherein D isx，DyThe offset of the acoustic axis in the x and y directions respectively,
wherein, fe is the frequency error index score, and the calculation formula is as follows:
wherein f is the echo frequency of the standard test block, f0The standard frequency of the ultrasonic probe of the intelligent Internet of things is set;
r is the resolving power index score of the probe, and the calculation formula is as follows:
wherein, h is the height of the measured trough, phi is the index score of the refraction angle, and the calculation formula is as follows:
the intelligent Internet of things ultrasonic probe comprises an intelligent Internet of things ultrasonic probe body, a standard test block and a standard test block, wherein a is the front edge distance of the intelligent Internet of things ultrasonic probe body, X is the distance between the front edge of the intelligent Internet of things ultrasonic probe body and the standard test block, and L is the distance between the standard test block and the standard test block.
Optionally, a probe information management system is deployed on the cloud server, and the method further includes:
the probe information management system manages according to the basic information of each ultrasonic probe, and updates the ultrasonic probe information when the upper computer is replaced or started.
Optionally, the probe diagnosis module obtains a health management model by training the working time, the consumable wear value and the measurement accuracy of all the ultrasonic probes, inputs the working time, the consumable wear value and the measurement accuracy of the ultrasonic probes to be tested into the health management model to obtain the predicted service life, and when the predicted service life is smaller than a service life threshold value, the predicted service life is right to prompt the ultrasonic probes of the intelligent internet of things to be tested to replace.
One or more embodiments of the present specification provide an intelligence thing networking ultrasonic probe system and an intelligent thing networking ultrasonic probe system in ultrasonic probe's change suggestion method, consumptive material wearing and tearing information through real-time detection detecting element, and calculate detecting element's measurement accuracy and length of operation in real time, carry out the suggestion of probe change when consumptive material wearing and tearing value is greater than the wearing and tearing threshold value or the measurement accuracy is less than the accuracy threshold value, thereby can be more accurate change the suggestion to intelligence thing networking ultrasonic probe, avoid because the wasting of resources that the change caused when the ultrasonic probe state is good, and the potential safety hazard that ultrasonic probe excessive wear caused, and therefore, the cost is reduced, promote the ability to prediction of intelligence thing networking ultrasonic probe and maintenance.
Drawings
In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present specification, and for those skilled in the art, other drawings can be obtained according to the drawings without any creative effort. In the drawings:
fig. 1 is a schematic diagram of an intelligent internet of things ultrasonic probe system provided by an embodiment of the invention;
fig. 2 is a schematic diagram of an intelligent internet of things ultrasonic probe provided in an embodiment of the present specification;
FIG. 3 is a schematic diagram of the structure of a microcircuit board in some embodiments provided herein;
fig. 4 is a flowchart of a replacement prompting method for an ultrasonic probe in an intelligent internet of things ultrasonic probe system provided in the present specification.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in one or more embodiments of the present specification will be clearly and completely described below with reference to the drawings in one or more embodiments of the present specification, and it is obvious that the described embodiments are only a part of the embodiments of the specification, and not all embodiments. All other embodiments obtained by a person skilled in the art based on one or more embodiments of the present specification without making any creative effort shall fall within the protection scope of the embodiments of the present specification.
Referring to fig. 1 to 3, fig. 1 is a schematic view of an intelligent internet of things ultrasonic probe system provided in an embodiment of the present invention, fig. 2 is a schematic view of an intelligent internet of things ultrasonic probe provided in an embodiment of the present invention, and fig. 3 is a schematic view of a structure of a micro circuit board in some embodiments provided in the present specification.
The intelligent Internet of things ultrasonic probe system comprises at least one ultrasonic probe, an upper computer and a cloud server, wherein the upper computer is connected between the at least one ultrasonic probe and the cloud server.
The intelligent internet of things ultrasonic probe comprises a detection element 10 and a miniature circuit board 20.
The detection element 10 is arranged in the ultrasonic probe and used for transmitting ultrasonic pulses to the surface of a detected object and simultaneously receiving echo waves reflected by defects of the surface of the detected object, and the miniature circuit board 20 comprises a consumable wear calculation module, a controller and a communication module, wherein the miniature circuit board 20 is arranged above the detection element and electrically connected with the detection element, the consumable wear calculation module is used for monitoring consumable wear information of the detection element in real time and processing the consumable wear information to obtain a consumable wear value, calculating the measurement accuracy of the detection element and recording the working time of the detection element, the communication module is used for sending the consumable wear information and the working time information to the cloud server through an upper computer, and a probe diagnosis module is arranged on the upper computer and used for sending the consumable wear value, the controller and the communication module of each ultrasonic probe, And analyzing the measurement accuracy and the working time, and prompting probe replacement when the consumable wear value is greater than the wear threshold, or the measurement accuracy is less than the accuracy threshold, or the working time exceeds the working time threshold.
In the embodiments of the present description, the ultrasonic waves are mechanical waves with a frequency higher than 20 khz. The frequency commonly used in ultrasonic flaw detection is 0.5-10 MHz. The mechanical wave can propagate in a material at a certain speed and direction, and can generate reflection, refraction and waveform conversion when meeting a heterogeneous interface (such as a defect or the bottom surface of an object to be measured) with different acoustic impedances. This phenomenon can be used for ultrasonic inspection, most commonly pulse reflection, in which a voltage from a pulse oscillator is applied to a probe (made of piezoelectric ceramic or quartz wafer) and the ultrasonic pulse from the probe enters the material through an acoustic coupling medium (such as oil or water) and propagates through the material, and after a defect is encountered, part of the reflected energy returns to the probe along the original path, and the probe converts the reflected energy into an electric pulse, which is amplified by an instrument and displayed on a fluorescent screen of a oscillograph. Based on the position and amplitude of the reflected wave of the defect on the screen (as compared to the amplitude of the reflected wave of the artificial defect in the reference block), the position and approximate size of the defect can be determined.
In this specification, calculate the consumptive material degree of wear of real-time supervision detecting element through the consumptive material wearing and tearing, indicate that detecting element can not continue to use when the consumptive material wearing and tearing value exceeds the wearing and tearing threshold value, untimely change can cause the damage of precision component, simultaneously in this specification through the controller real-time calculation detecting element's among the miniature circuit board measurement accuracy, measurement accuracy does not enough explain that intelligent thing networking probe measurement has been inaccurate and need overhaul, and carry out the suggestion of probe change when detecting element duration exceeds the duration threshold value, wherein, the duration threshold value can the interior detection element longest operating time limit of stipulating.
Wherein the probe replacement prompt can be performed according to the following threshold judgment formula:
f (m, a, t) ═ max (m-m _ label, 0) + max (a _ label-a, 0) + max (t-t _ label, 0)
Wherein m represents the consumable wear value of the detection element, m _ mark represents the consumable wear threshold, a represents the measurement accuracy, a _ mark represents the measurement accuracy threshold, t represents the working time, t _ mark represents the working time threshold, and when F (m, a, t) is greater than 0, the probe replacement prompt is carried out.
In this specification, the detecting element includes a plurality of straight probes and oblique probes working in cooperation, and the standard test block for ultrasonic monitoring is used for the test block for performance calibration and detection calibration of the instrument probe system, and the common test blocks include: the standard test blocks CB I \ CB II are used for the steel plate, the standard test blocks CS I \ CS II \ CS III are used for the forge piece, and the standard test blocks CSK-IA \ CSK-IIA \ CSK-III A \ CSK-IV A are used for the welding joint.
The CSK-IA test block is a standard test block specified in the national pressure-bearing equipment nondestructive testing standard JB/T4730.3-2005 and is mainly used for the resolution of a transverse wave oblique probe; adjusting the transverse wave scanning speed and the detection range; adjusting the longitudinal wave detection range and the scanning linear scale; checking the horizontal linearity, vertical linearity and dynamic range of the instrument; measuring the far field resolution of the straight probe and instrument combination; measuring the maximum penetration capacity and the blind area of the straight probe and the instrument after combination; measuring a refraction angle and an incidence point of the oblique probe; and measuring the sensitivity allowance of the combination of the inclined probe and the instrument. The CSK-IIIA test block is a transverse hole standard test block specified in the JB/T4730.3-2005 standard for ultrasonic detection of welding seams, and is mainly used for measuring a transverse wave distance-amplitude curve (DAC), an angle of refraction of an oblique probe and adjustment of scanning linearity and sensitivity of the probe.
In some optional examples, the controller calculates the measurement accuracy of the probe element by:
wherein, cStraight barIs the accuracy coefficient of the straight probe,
is the precision coefficient of the inclined probe (i is 1, …, n is a positive integer), AStraight barFor the measurement accuracy of the straight probe, the calculation formula is as follows:
Wherein, fe is the frequency error index score, and the calculation formula is as follows:
wherein f is the echo frequency of the standard test block, f0The standard frequency of the ultrasonic probe of the intelligent Internet of things is set;
r is the resolving power index score of the probe, and the calculation formula is as follows:
wherein, h is the height of the measured wave trough, theta is the sound axis deflection angle index score, and the calculation formula is as follows:
wherein D isx，DyThe deviation of the sound axis in the x and y directions respectively, phi is the index score of the refraction angle, and the calculation formula is as follows:
the intelligent Internet of things ultrasonic probe comprises an intelligent Internet of things ultrasonic probe body, a standard test block and a base, wherein a is the front edge distance of the intelligent Internet of things ultrasonic probe body, X is the distance between the front edge of the intelligent Internet of things ultrasonic probe body and the standard test block, and L is the standard test block distance.
In some optional examples, the miniature circuit board may further comprise a memory for recording the consumable wear value, the operating time length, and basic information of the ultrasonic probe.
In some optional examples, during operation of the intelligent ultrasound probe in the internet of things, a computer program is embedded in the controller of the miniature circuit board, and the computer program stores basic information of the intelligent ultrasound probe in the memory, which may include, but is not limited to, ID, name, model, usage, specification information, and the like of the intelligent ultrasound probe in the internet of things. When the intelligent Internet of things ultrasonic probe is electrified to work, the working duration information of the intelligent Internet of things ultrasonic probe is continuously recorded in real time and is stored in the storage module. Meanwhile, consumable wear information of the detection element is calculated in real time through the consumable wear calculation module, and the controller obtains a consumable wear value after processing the consumable wear information and stores the consumable wear value in the storage module. Meanwhile, the controller can also calculate the measurement accuracy of the detection element in real time and store the measurement accuracy in the storage module. Basic information, working time, consumable wear values and measurement accuracy stored in the storage module are sent to an upper computer through a communication module, the information is sent to a cloud server through the communication module in the upper computer, meanwhile, a probe diagnosis module is arranged on the upper computer and used for analyzing the consumable wear values, the measurement accuracy and the working time of each ultrasonic probe, and when the consumable wear values are larger than a wear threshold value or the measurement accuracy is smaller than an accuracy threshold value or the working time exceeds the industry specified maximum time, probe replacement prompting is carried out.
In some optional examples, a probe information management system is deployed on the cloud server, and is used for managing according to the basic information of each ultrasonic probe, and updating the ultrasonic probe information when the upper computer is replaced or turned on. For example, the communication module can be used for communicating with the upper computer through a Wifi module in an 802.11a/b/g/n/ac communication protocol or through a ZigBee communication module in a ZigBee communication protocol. Or the USB type-c communication module of the miniature intelligent Internet of things ultrasonic circuit board is connected with the upper computer to communicate with the probe information management system. The updated ultrasonic probe information may include the calculation parameter information and the working time length of each ultrasonic probe, wherein the calculation parameter information may be an empirical constant in calculating the measurement accuracy, such as the above-mentionedStraight probe accuracy coefficient c in measurement accuracy calculation formulaStraight barPrecision coefficient of tilt probe
Standard frequency f of ultrasonic probe of intelligent Internet of things0Measuring the height h of the wave trough and the deviation D of the sound axis in the x and y directionsx，DyThe front edge distance a of the intelligent Internet of things ultrasonic probe and the distance X between the front edge of the intelligent Internet of things ultrasonic probe and the standard test block are one or more.
In some optional examples, after the probe management system receives the basic information, the operating time and the consumable wear value of the intelligent internet-of-things ultrasonic probe, the intelligent internet-of-things ultrasonic probe can be retrieved and information updated according to the basic information, for example, relevant information corresponding to the intelligent internet-of-things ultrasonic probe can be retrieved according to the ID of the intelligent internet-of-things ultrasonic probe, or information of the intelligent internet-of-things ultrasonic probe can be updated. Specifically, the cloud server performs summary analysis according to data (such as working hours, consumable wear values and measurement accuracy) uploaded by each intelligent internet of things ultrasonic probe, analyzes how the calculation parameters of the ultrasonic probe change according to the analysis results at intervals according to the uploaded data (such as the working hours, the consumable wear values and the measurement accuracy), and then updates the information of the corresponding ultrasonic probe according to the analysis results.
In some optional examples, a probe diagnosis module is deployed in the upper computer, a health management model can be obtained according to received working duration, consumable wear values and measurement accuracy training of all intelligent internet-of-things ultrasonic probes, the working duration, the consumable wear values and the measurement accuracy of the intelligent internet-of-things ultrasonic probes to be detected are input into the health management model, the predicted service life can be output, and when the predicted service life is smaller than a threshold value, a user is reminded to replace a detection element.
In this specification, a probe diagnosis module is deployed in an upper computer, and can form a training set and a test set according to existing working hours, consumable wear values, measurement accuracy and the like in historical data sent by an intelligent internet of things ultrasonic probe, and as input data of a training health management model, corresponding remaining service life is used as a corresponding label to construct a health management model, the health management model can comprise a plurality of layers, each layer can comprise a plurality of hidden layer units, each layer can be connected with a full connection layer, in order to prevent overfitting, an overfitting layer can be added behind each full connection layer, and finally, the overfitting layer is output through a sofmax regression layer. And then training the constructed health management model, wherein the training process mainly comprises forward calculation, reverse error propagation, gradient calculation, parameter updating and the like. When the working information of the ultrasonic probe of the intelligent Internet of things to be tested is sent to the probe information management system, the health management model processes the input working information to obtain the predicted service life, and when the predicted service life is smaller than a threshold value, a user is reminded to replace the ultrasonic probe.
From this, the intelligence thing networking ultrasonic transducer system that this specification provided, through the working information of real-time detection detecting element, and send working information to probe information management system and carry out the analysis back, can predict intelligence thing networking ultrasonic transducer's life, thereby can more accurate change the suggestion to intelligence thing networking ultrasonic transducer, avoid because the wasting of resources that changes when the ultrasonic transducer state is good and cause, and the potential safety hazard that ultrasonic transducer excessive wear caused, and the cost is reduced, promote the ability to ultrasonic transducer prediction and maintenance. Meanwhile, in the intelligent ultrasonic probe system of the internet of things provided by the embodiment of the specification, each ultrasonic probe has a unique ID, the use state of the ultrasonic probe can be monitored in real time according to the ID, the information of the ultrasonic probe can be updated according to the historical data of the ultrasonic probe, and the accuracy and precision of measurement are further improved.
The specification also provides a method for prompting the replacement of the ultrasonic probe in the intelligent internet of things ultrasonic probe system, please refer to fig. 4, fig. 4 is a flowchart of the method for prompting the replacement of the ultrasonic probe in the intelligent internet of things ultrasonic probe system provided by the specification, the intelligent internet of things ultrasonic probe system comprises at least one ultrasonic probe, an upper computer and a cloud server, wherein the upper computer is connected between the at least one ultrasonic probe and the cloud server, and the miniature circuit board comprises a consumable wear calculation module, a controller and a communication module. The ultrasonic probe in this embodiment can be understood by referring to the above embodiments, and the details are not described here.
As shown in fig. 4, the method comprises the steps of:
and S30, monitoring the consumable wear information of the detection element in real time by a consumable wear calculation module, and sending the consumable wear information to the controller.
In this step, all include a consumptive material wearing and tearing calculation module on every ultrasonic probe's the miniature circuit board, can calculate the consumptive material wearing and tearing information of detecting element in real time to the consumptive material wearing and tearing information that will acquire sends the controller.
And S32, receiving and processing the consumable wear information by the controller to obtain a consumable wear value, calculating the measurement accuracy of the detection element and recording the working time of the detection element.
In this step, the detecting element includes a plurality of straight probes and inclined probes which cooperate with each other, and the controller calculates the measurement accuracy of the detecting element according to the following formula:
wherein, cStraight barIs the accuracy coefficient of the straight probe,
is the precision coefficient of the inclined probe (i is 1, …, n is a positive integer), AStraight barFor the measurement accuracy of the straight probe, the calculation formula is as follows:
wherein, fe is the frequency error index score, and the calculation formula is as follows:
wherein f is the echo frequency of the standard test block, f0The standard frequency of the ultrasonic probe of the intelligent Internet of things is set;
r is the resolving power index score of the probe, and the calculation formula is as follows:
wherein, h is the height of the measured wave trough, theta is the sound axis deflection angle index score, and the calculation formula is as follows:
wherein D isx，DyThe deviation of the sound axis in the x and y directions respectively, phi is the index score of the refraction angle, and the calculation formula is as follows:
the intelligent Internet of things ultrasonic probe comprises an intelligent Internet of things ultrasonic probe body, a standard test block and a base, wherein a is the front edge distance of the intelligent Internet of things ultrasonic probe body, X is the distance between the front edge of the intelligent Internet of things ultrasonic probe body and the standard test block, and L is the standard test block distance.
In this step, the controller obtains the consumable wear value by processing the consumable wear information of the consumable wear calculation module, obtains the measurement accuracy of the detection element by calculation, and can record the working duration of the detection element in real time, and after obtaining the information, stores the consumable wear value, the measurement accuracy, the working duration and the basic information in the memory on the miniature circuit board.
And S34, the communication module sends the consumable wear information, the measurement accuracy and the working time to the cloud server through the upper computer.
In the step, the memory sends the consumable wear information and the working time length information stored in the communication module to the cloud server through the upper computer. The cloud server is provided with a probe information management system, the probe information management system manages according to the basic information of each ultrasonic probe, and probe information is updated when an upper computer is replaced or the upper computer is started. The updated ultrasonic probe information may include the calculation parameter information and the working time of each ultrasonic probe, wherein the calculation parameter information may be an empirical constant in calculating the measurement accuracy, for example, the accuracy coefficient c of the straight probe in the above measurement accuracy calculation formulaStraight barPrecision coefficient of tilt probe
Standard frequency f of ultrasonic probe of intelligent Internet of things0Measuring the height h of the wave trough and the deviation D of the sound axis in the x and y directionsx，DyThe front edge distance a of the intelligent Internet of things ultrasonic probe and the distance X between the front edge of the intelligent Internet of things ultrasonic probe and the standard test block are one or more.
Specifically, the cloud server performs summary analysis according to data (such as working hours, consumable wear values and measurement accuracy) uploaded by each intelligent internet of things ultrasonic probe, analyzes how the calculation parameters of the ultrasonic probe change according to the analysis results at intervals according to the uploaded data (such as the working hours, the consumable wear values and the measurement accuracy), and then updates the information of the corresponding ultrasonic probe according to the analysis results.
S36, a probe diagnosis module arranged on the upper computer analyzes the consumable wear value, the measurement accuracy and the working duration of each ultrasonic probe, and when the consumable wear value is larger than a wear threshold, or the measurement accuracy is smaller than an accuracy threshold, or the working duration exceeds the industry specified maximum duration, a probe replacement prompt is carried out.
In this step, probe diagnosis module obtains health management model to all ultrasonic probe's operating duration, consumptive material wearing and tearing information, measurement accuracy through the training, will await measuring ultrasonic probe's operating duration information, consumptive material wearing and tearing information, measurement accuracy input health management model obtains prediction life, works as when prediction life is less than the life threshold, it is right the suggestion is changed to the intelligence thing networking ultrasonic probe that awaits measuring.
From this, the method of suggestion is changed to ultrasonic transducer in the intelligence thing networking ultrasonic transducer system that this specification provided, through the work information of real-time detection detecting element, and send work information to probe information management system and carry out the analysis back, can predict intelligence thing networking ultrasonic transducer's life, thereby can be more accurate change the suggestion to intelligence thing networking ultrasonic transducer, avoid because the wasting of resources that the change caused when the ultrasonic transducer state is good, and the potential safety hazard that ultrasonic transducer excessive wear caused, and the cost is reduced, promote the ability to ultrasonic transducer prediction and maintenance. Meanwhile, in the intelligent ultrasonic probe system of the internet of things provided by the embodiment of the specification, each ultrasonic probe has a unique ID, the use state of the ultrasonic probe can be monitored in real time according to the ID, the information of the ultrasonic probe can be updated according to the historical data of the ultrasonic probe, and the accuracy and precision of measurement are further improved.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. For details, reference may be made to the description of the related embodiments of the related processing, and details are not repeated herein.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The embodiments of the present description are not limited to what must be consistent with a standard data model/template or described in the embodiments of the present description. Certain industry standards, or implementations modified slightly from those described using custom modes or examples, may also achieve the same, equivalent, or similar, or other, contemplated implementations of the above-described examples. The embodiments using these modified or transformed data acquisition, storage, judgment, processing, etc. may still fall within the scope of the alternative embodiments of the present description.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment. In the description of the specification, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the specification. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
The above description is only an example of the present specification, and is not intended to limit the present specification. Various modifications and alterations to this description will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present specification should be included in the scope of the claims of the present specification.
Claims (10)
1. An intelligent Internet of things ultrasonic probe system is characterized by comprising at least one ultrasonic probe, an upper computer and a cloud server, wherein,
the ultrasonic probe comprises a detection element and a miniature circuit board, wherein the miniature circuit board comprises a consumable wear calculation module, a controller and a communication module, and the miniature circuit board is arranged above the detection element and is electrically connected with the detection element;
the consumable wear calculation module is used for monitoring consumable wear information of the detection element in real time;
the controller is used for processing the consumable wear information to obtain a consumable wear value, calculating the measurement accuracy of the detection element and recording the working time of the detection element;
the communication module is used for sending the consumable wear value, the measurement accuracy and the working time length to the cloud server through the upper computer;
the upper computer is provided with a probe diagnosis module for analyzing the consumable wear value, the measurement accuracy and the working duration of each ultrasonic probe, and when the consumable wear value is greater than the wear threshold value or the measurement accuracy is less than the accuracy threshold value or the working duration exceeds the working duration threshold value, the probe replacement prompt is carried out.
2. The intelligent internet of things ultrasonic probe system of claim 1, wherein the probe elements comprise a plurality of straight probes and inclined probes which work in cooperation, and the controller calculates the measurement accuracy of the probe elements according to the following formula:
wherein, cStraight barIs the accuracy coefficient of the straight probe,
is the precision coefficient of the inclined probe, i is 1, …, n is a positive integer, AStraight barFor the measurement accuracy of the straight probe, the calculation formula is as follows:
theta is the sound axis deflection angle index score, and the calculation formula is as follows:
wherein D isx，DyThe distances by which the projections of the sound axes in the x and y directions are shifted respectively,
fe is the frequency error index score, and the calculation formula is as follows:
wherein f is the standardEcho frequency of the test block, f0The standard frequency of the ultrasonic probe of the intelligent Internet of things is set;
r is the resolving power index score of the probe, and the calculation formula is as follows:
wherein h is the height of the measured wave trough,
phi is the index score of the refraction angle, and the calculation formula is as follows:
the test block comprises an intelligent Internet of things ultrasonic probe, a standard test block and a plurality of standard test blocks, wherein a is the front edge distance of the intelligent Internet of things ultrasonic probe, X is the distance between the front edge of the intelligent Internet of things ultrasonic probe and the standard test block, and L is the vertical distance between the intelligent Internet of things ultrasonic probe and the highest echo point of the standard test block.
3. The intelligent internet of things ultrasonic probe system of claim 1, wherein the miniature circuit board further comprises a memory electrically connected with the controller and used for recording the consumable wear value, the working time and basic information of the ultrasonic probe.
4. The intelligent Internet of things ultrasonic probe system of claim 3, wherein the cloud server is deployed with a probe information management system for analyzing historical consumable wear values, measurement accuracy and working hours of each ultrasonic probe system head, and updating calculation parameter information and working hours of the ultrasonic probes when the upper computer or the upper computer is started according to analysis results and basic information of the ultrasonic probes.
5. The intelligent internet of things ultrasonic probe system of claim 4, wherein the ultrasonic probes areCalculating parameter information including the accuracy coefficient c of the straight probeStraight barPrecision coefficient of tilt probe
Standard frequency f of ultrasonic probe of intelligent Internet of things0Measuring the height h of the wave trough and the deviation D of the sound axis in the x and y directionsx，DyThe front edge distance a of the intelligent Internet of things ultrasonic probe and the distance X between the front edge of the intelligent Internet of things ultrasonic probe and the standard test block are one or more.
6. The intelligent internet of things ultrasonic probe system of claim 1, wherein the probe diagnosis module trains the working duration, the consumable wear value and the measurement accuracy of all the ultrasonic probes to obtain a health management model, inputs the working duration, the consumable wear value and the measurement accuracy of the ultrasonic probe to be tested into the health management model to obtain a predicted service life, and prompts replacement of the intelligent internet of things ultrasonic probe to be tested when the predicted service life is smaller than a service life threshold.
7. The utility model provides a change suggestion method of ultrasonic transducer among intelligent thing networking ultrasonic transducer system, its characterized in that, the system includes at least one ultrasonic transducer, host computer and cloud ware, ultrasonic transducer includes detecting element and miniature circuit board, miniature circuit board includes consumptive material wearing and tearing calculation module, controller and communication module, the method includes:
the consumable wear calculation module monitors consumable wear information of the detection element in real time and sends the consumable wear information to the controller;
the controller receives and processes the consumable wear information to obtain a consumable wear value, calculates the measurement accuracy of the detection element and records the working time of the detection element;
the communication module sends the consumable wear value, the measurement accuracy and the working time to the cloud server through an upper computer;
the probe diagnosis module arranged on the upper computer analyzes consumable wear values, measurement accuracy and working duration of each ultrasonic probe, and when the consumable wear values are larger than a wear threshold value or the measurement accuracy is smaller than an accuracy threshold value or the working duration exceeds a working duration threshold value, probe replacement prompting is carried out.
8. The method for prompting the replacement of the ultrasonic probe in the ultrasonic probe system of the intelligent internet of things according to claim 7, wherein the measurement accuracy of the detection element is calculated by the following formula:
wherein, cStraight barIs the accuracy coefficient of the straight probe,
is the precision coefficient of the inclined probe (i is 1, …, n is a positive integer), AStraight barFor the measurement accuracy of the straight probe, the calculation formula is as follows:
theta is the sound axis deflection angle index score, and the calculation formula is as follows:
wherein D isx，DyThe distances by which the projections of the sound axes in the x and y directions are shifted respectively,
wherein, fe is the frequency error index score, and the calculation formula is as follows:
wherein f is the echo frequency of the standard test block, f0The standard frequency of the ultrasonic probe of the intelligent Internet of things is set;
r is the resolving power index score of the probe, and the calculation formula is as follows:
wherein, h is the height of the measured trough, phi is the index score of the refraction angle, and the calculation formula is as follows:
the intelligent test block comprises an intelligent Internet of things ultrasonic probe, a standard test block and a plurality of standard test blocks, wherein a is the front edge distance of the intelligent Internet of things ultrasonic probe, X is the distance between the front edge of the intelligent Internet of things ultrasonic probe and the standard test block, and L is the vertical distance between the intelligent Internet of things ultrasonic probe and the highest echo point of the standard test block.
9. The method for prompting the replacement of the ultrasonic probe in the ultrasonic probe system of the intelligent internet of things according to claim 7, wherein a probe information management system is deployed on the cloud server, and the method further comprises:
the probe information management system manages according to the basic information of each ultrasonic probe, and updates the ultrasonic probe information when the upper computer is replaced or started.
10. The method for prompting replacement of the ultrasonic probe in the ultrasonic probe system of the intelligent internet of things as claimed in claim 7, wherein the probe diagnosis module trains the working duration, the consumable wear value and the measurement accuracy of all the ultrasonic probes to obtain a health management model, inputs the working duration, the consumable wear value and the measurement accuracy of the ultrasonic probe to be tested into the health management model to obtain a predicted service life, and prompts replacement of the ultrasonic probe of the intelligent internet of things to be tested when the predicted service life is less than a service life threshold.
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