WO2021109577A1 - 一种超声检测方法及装置 - Google Patents

一种超声检测方法及装置 Download PDF

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Publication number
WO2021109577A1
WO2021109577A1 PCT/CN2020/101780 CN2020101780W WO2021109577A1 WO 2021109577 A1 WO2021109577 A1 WO 2021109577A1 CN 2020101780 W CN2020101780 W CN 2020101780W WO 2021109577 A1 WO2021109577 A1 WO 2021109577A1
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cloud
detection signal
data
detection
ultrasonic
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PCT/CN2020/101780
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English (en)
French (fr)
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曾吕明
陈奇
纪轩荣
袁懋诞
陈燕
邓丽军
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广东工业大学
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Publication of WO2021109577A1 publication Critical patent/WO2021109577A1/zh

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G01N29/04—Analysing solids
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G01N29/44—Processing the detected response signal, e.g. electronic circuits specially adapted therefor
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2291/00—Indexing codes associated with group G01N29/00
    • G01N2291/02—Indexing codes associated with the analysed material
    • G01N2291/023—Solids
    • G01N2291/0234—Metals, e.g. steel
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2291/00—Indexing codes associated with group G01N29/00
    • G01N2291/02—Indexing codes associated with the analysed material
    • G01N2291/028—Material parameters
    • G01N2291/0289—Internal structure, e.g. defects, grain size, texture

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  • This application relates to the technical field of ultrasonic testing, and in particular to an ultrasonic testing method and device.
  • Ultrasonic testing technology refers to a non-destructive testing method that uses ultrasonic waves to inspect internal defects of metal components.
  • the ultrasonic waves propagate inside the component, they will have different reflected signals when they encounter different interfaces.
  • the internal defects of the component can be inspected. According to the height and position of the echo signal displayed on the oscilloscope, the size, position and general nature of the object can be judged.
  • the traditional centralized ultrasonic inspection method has a slow response speed, low efficiency, and a large amount of data transmission and reception.
  • the amount of data required by the all-focus algorithm is huge, which requires high processing speed of computer memory and GPU.
  • the cloud will greatly improve the efficiency of calculations for mass storage of data, reduce the calculation time, so as to achieve a faster response to the system and achieve a faster speed.
  • the traditional ultrasonic inspection method is to collect all the data received each time and transmit it to the data processing unit for processing.
  • the real-time detection will have great obstacles.
  • traditional ultrasonic testing is generally centralized in structure, and data collection is relatively slow.
  • the embodiments of the present application provide an ultrasonic detection method and device, which greatly reduces the amount of transmitted data and can improve the detection efficiency.
  • the first aspect of the present application provides an ultrasonic detection method, which includes:
  • the second detection signal is compared with the first detection signal stored locally, and if there is a difference, the difference part is transmitted to the cloud, and the difference part in the initial data stored in the cloud is replaced.
  • the method further includes preprocessing the data of the first detection signal and the second detection signal.
  • the method further includes:
  • the check code is transmitted to the cloud, so that the cloud obtains a message that there is no difference between the second detection signal and the first detection signal.
  • the method further includes:
  • the cloud calculates the data to obtain the imaging result, and transmits the imaging result to the user terminal for display.
  • the method further includes:
  • the time difference between adjacent detection signals is detected according to the set threshold. If the time difference exceeds the threshold, the cloud sends warning information to the user terminal.
  • a second aspect of the present application provides an ultrasonic detection device, which includes:
  • a first signal acquisition unit where the first signal acquisition module is used to acquire a first detection signal after ultrasonic detection
  • a first storage unit configured to save the data of the first detection signal locally
  • a second storage unit where the second storage unit is used to transmit the data to the cloud for storage
  • the data stored locally and in the cloud are used as initial data;
  • a second signal acquisition unit where the second acquisition unit is used to acquire a second detection signal after ultrasonic detection again;
  • a comparison unit configured to compare the second detection signal with the first detection signal stored locally, and if there is a difference, transmit the difference part to the cloud;
  • the replacement unit is used to replace the difference part in the initial data stored in the cloud.
  • it further includes: a preprocessing unit configured to preprocess the data of the first detection signal and the second detection signal.
  • it further includes: a verification and identification unit configured to obtain a check code of the cloud, so that the cloud obtains a message that the second detection signal is not different from the first detection signal.
  • a verification and identification unit configured to obtain a check code of the cloud, so that the cloud obtains a message that the second detection signal is not different from the first detection signal.
  • a computational imaging unit configured to calculate the data to obtain an imaging result, and transmit the imaging result to a user terminal for display.
  • a detection alarm unit configured to detect the time difference between adjacent detection signals according to a set threshold, and if the time difference exceeds the threshold, the cloud sends an alarm to the user terminal information.
  • an ultrasonic detection method which includes: obtaining a first detection signal after ultrasonic detection; saving data of the first detection signal locally; transmitting the data to the cloud for storage, and storing it locally; The data in the cloud is used as the initial data; the second detection signal after ultrasonic detection is obtained again; the second detection signal is compared with the first detection signal stored locally, if there is a difference, the difference part is transmitted to the cloud and stored in the cloud The difference in the initial data is replaced.
  • This application transfers the different data parts to the cloud and replaces the different data, so that the amount of uploaded data will be greatly reduced; in addition, this application places the data processing method on the cloud instead of the traditional The computer performs full-focus reconstruction and intelligent calculation analysis locally, which is not affected by local memory and various hardware, reduces the dependence on hardware, and accelerates the processing speed.
  • FIG. 1 is a method diagram of an embodiment of an ultrasonic detection method of this application
  • FIG. 3 is a schematic structural diagram of an embodiment of an ultrasonic detection device of this application.
  • This application transfers the different data parts to the cloud and replaces the different data, so that the amount of uploaded data will be greatly reduced; in addition, this application places the data processing method on the cloud instead of the traditional The computer performs full-focus reconstruction and intelligent calculation analysis locally, which is not affected by local memory and various hardware, reduces the dependence on hardware, and accelerates the processing speed.
  • FIG. 1 is a method diagram of an embodiment of an ultrasonic detection method of this application, as shown in FIG. 1, which includes:
  • a probe with m ⁇ n ultrasonic array elements can be used to excite and receive ultrasonic signals.
  • the switch circuit excites the electrical signal to act on the array element i 11
  • the inverse piezoelectric The effect of the effect will cause the array element i 11 to generate ultrasonic waves, which will reflect back when it hits an object.
  • the array element i 11 is subjected to the positive piezoelectric effect to produce an electrical signal u 11 ; when the switch circuit excites the electrical signal to act on the array element i 11 , due to the inverse Piezoelectric effect array element i 11 will generate ultrasonic waves, and it will reflect back when it hits an object.
  • Array element i 12 will generate electrical signals u 12 when subjected to the positive piezoelectric effect; keep array element i 11 as the excitation array element, and proceed with the above steps (n -2) times, electric signals u 11 , u 12 ,...u 1n will be received; keep the array element i 11 as the excitation array element, and proceed to receive all the array elements in the mth row one by one, and the electric signal will be received u m1 , u m2 ,...u mn , save the electrical signal data of all rows obtained, at this time the electrical signal reception of the array element i 11 is completed, and the received data of i 11 is expressed as I 11 ; change the excitation Array elements, select excitation array elements i 12 , i 13 ,...i m1 , i m2 ,...i mn in turn to generate ultrasonic signals, repeat the above steps, and complete the electricity of the remaining (m ⁇ n-1) array elements Signal reception, the data received by (m
  • the first detection signal needs to be preprocessed, saved locally and transmitted to the cloud.
  • the preprocessing is to filter and amplify the collected signal and reduce noise.
  • the main function of the preprocessing is to eliminate the influence of noise on the signal. influences.
  • the first detection signal is the signal obtained for the first detection. Therefore, in order to realize the subsequent replacement of the difference data, the first detection signal needs to be saved to the local and the cloud at the same time.
  • ultrasonic detection is real-time detection, that is, the object is detected at a preset frequency, so it will be detected every certain time. If the detection time interval is deviated, the object may be faulty or damaged. resulting in.
  • the data will again be stored locally, in accordance with the rules of the corresponding logical comparison calculation, the electrical signal I '11, I' 12, I '13, ... I' m1, I 'm2 ... I' mn and I 11, I 12, I 13 , ... I m1, I m2 ... I
  • the data after mn preprocessing undergoes corresponding comparison processing. If there is no difference between two sets of data, the data is not uploaded I '11, I' 12, the data I '13, ... I' m1 , I 'm2 ...
  • the cloud would accepting a processing unit Check code to keep the preprocessed data of I 11 , I 12 , I 13 ,... I m1 , I m2 ... I mn unchanged in the cloud; if part of the data in the two sets of data is changed, only the changed Part of the data is uploaded to the cloud, and the original data stored in the cloud can be replaced accordingly.
  • This application transfers the different data parts to the cloud and replaces the different data, so that the amount of uploaded data will be greatly reduced; in addition, this application places the data processing method on the cloud instead of the traditional The computer performs full-focus reconstruction and intelligent calculation analysis locally, which is not affected by local memory and various hardware, reduces the dependence on hardware, and accelerates the processing speed.
  • FIG. 2 is a method flowchart of another embodiment of an ultrasonic detection method of this application, as shown in FIG. 2, specifically:
  • a probe with m ⁇ n ultrasonic array elements can be used to excite and receive ultrasonic signals.
  • the switch circuit excites the electrical signal to act on the array element i 11
  • the inverse piezoelectric The effect of the effect will cause the array element i 11 to generate ultrasonic waves, which will reflect back when it hits an object.
  • the array element i 11 is subjected to the positive piezoelectric effect to produce an electrical signal u 11 ; when the switch circuit excites the electrical signal to act on the array element i 11 , due to the inverse Piezoelectric effect array element i 11 will generate ultrasonic waves, and it will reflect back when it hits an object.
  • Array element i 12 will generate electrical signals u 12 by the positive piezoelectric effect. Keep array element i 11 as the excitation array element and proceed with the above steps (n -2) times, electric signals u 11 , u 12 ,...u 1n will be received; keep the array element i 11 as the excitation array element, and proceed to receive all the array elements in the mth row one by one, and the electric signal will be received u m1 , u m2 ,...u mn , save the electrical signal data of all rows obtained, at this time the electrical signal reception of the array element i 11 is completed, and the received data of i 11 is expressed as I 11 ; change the excitation Array elements, select excitation array elements i 12 , i 13 ,...i m1 , i m2 ,...i mn in turn to generate ultrasonic signals, repeat the above steps, and complete the electricity of the remaining (m ⁇ n-1) array elements Signal reception, the data received by (m ⁇ n-1) array
  • multiple probes can also be used for signal acquisition and processing.
  • the number of probes can be set according to the needs of the user, and the corresponding system needs to be set to repeat the acquisition. Frequency, thereby updating the number of cycles to change, so as to be able to update the data in the cloud in time.
  • the same probe is set up to be distributed, which can simultaneously detect a variety of different types and sizes of test pieces.
  • the first detection signal needs to be preprocessed, saved locally and transmitted to the cloud.
  • the preprocessing is to filter and amplify the collected signal and reduce noise.
  • the main function of the preprocessing is to eliminate the influence of noise on the signal. influences.
  • the first detection signal is the signal obtained for the first detection. Therefore, in order to realize the subsequent replacement of the difference data, the first detection signal needs to be saved to the local and the cloud at the same time.
  • the local area also includes a data processing unit and a memory unit, where the data processing unit is used to send and receive the collected data, compare, analyze, process, and preprocess the collected data, and the storage unit is used to store the collected signals.
  • ultrasonic detection is real-time detection, that is, the object is detected at a preset frequency, so it will be detected every certain time. If the detection time interval is deviated, the object may be faulty or damaged. resulting in.
  • the preset frequency can be set according to the system's ability to process data and the needs of users.
  • the data will again be stored locally, in accordance with the rules of the corresponding logical comparison calculation, the electrical signal I '11, I' 12, I '13, ... I' m1, I 'm2 ... I' mn and I 11, I 12, I 13 , ... I m1, I m2 ... I
  • the data after mn preprocessing is correspondingly compared. If there is no difference between two sets of data, the data is not uploaded I '11, I' 12, the data I '13, ... I' m1 , I 'm2 ...
  • the cloud would accepting a processing unit
  • the check code makes the cloud keep the preprocessed data of the first detection signals I 11 , I 12 , I 13 ,... I m1 , I m2 ... I mn unchanged; if part of the data in the two sets of data is changed, only It is necessary to upload part of the changed data to the cloud, and replace the data originally stored in the cloud accordingly.
  • the cloud keeps the preprocessed data of the first detection signals I 11 , I 12 , I 13 , ... I m1 , I m2 ... I mn unchanged.
  • the cloud calculates the data to obtain the imaging result, and transmits the imaging result to the user terminal for display.
  • the cloud can analyze and process the pre-processed data of the first detection signal and the second detection signal, and can update it in real time, and perform imaging and corresponding intelligent monitoring processing through a three-dimensional real-time all-focus algorithm.
  • the cloud Detect the time difference between adjacent detection signals according to the set threshold, and if the time difference exceeds the threshold, the cloud sends early warning information to the user terminal.
  • the time difference threshold between adjacent detection signals can be set. If the time difference between adjacent detection signals exceeds the threshold, then Indicates that the object is faulty, then the cloud needs to send early warning information to the user terminal.
  • the first signal acquisition unit 301 is configured to acquire the first detection signal after ultrasonic detection.
  • the first storage unit 302 is configured to save the data of the first detection signal locally.
  • the second storage unit 303 is used to transfer data to the cloud for storage.
  • the data stored locally and in the cloud is used as the initial data.
  • the second signal acquisition unit 304 is configured to acquire the second detection signal after ultrasonic detection again.
  • the comparing unit 305 is configured to compare the second detection signal with the first detection signal stored locally, and if there is a difference, transmit the difference part to the cloud.
  • the replacement unit 306 is configured to replace the difference part in the initial data stored in the cloud.
  • the preprocessing unit is used for preprocessing the data of the first detection signal and the second detection signal.
  • the verification and identification unit is used to obtain the verification code of the cloud, so that the cloud obtains the message that the second detection signal is not different from the first detection signal.
  • the computational imaging unit is used to calculate the data to obtain the imaging result, and transmit the imaging result to the user terminal for display.
  • the detection alarm unit is used to detect the time difference between adjacent detection signals according to the set threshold. If the time difference exceeds the threshold, the cloud sends an early warning message to the user terminal.
  • At least one (item) refers to one or more, and “multiple” refers to two or more.
  • “And/or” is used to describe the association relationship of associated objects, indicating that there can be three types of relationships, for example, “A and/or B” can mean: only A, only B, and both A and B , Where A and B can be singular or plural.
  • the character “/” generally indicates that the associated objects before and after are in an “or” relationship.
  • the following at least one item (a) or similar expressions refers to any combination of these items, including any combination of a single item (a) or a plurality of items (a).
  • At least one of a, b, or c can mean: a, b, c, "a and b", “a and c", “b and c", or "a and b and c" ", where a, b, and c can be single or multiple.
  • the disclosed device and method may be implemented in other ways.
  • the device embodiments described above are only illustrative.
  • the division of the units is only a logical function division, and there may be other divisions in actual implementation, for example, multiple units or components may be combined or It can be integrated into another system, or some features can be ignored or not implemented.
  • the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, and may be in electrical, mechanical or other forms.
  • the functional units in the various embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit.
  • the above-mentioned integrated unit can be implemented in the form of hardware or software functional unit.
  • the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium.
  • the technical solution of the present application essentially or the part that contributes to the existing technology or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium , Including several instructions to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in the various embodiments of the present application.
  • the aforementioned storage media include: U disk, mobile hard disk, read-only memory (English full name: Read-Only Memory, English abbreviation: ROM), random access memory (English full name: Random Access Memory, English abbreviation: RAM), magnetic Various media that can store program codes, such as discs or optical discs.

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Abstract

一种超声检测方法及装置，其方法包括：获取超声检测后的第一检测信号（S201）；将第一检测信号的数据保存至本地；将数据传输至云端进行保存，将存储至本地以及云端的数据作为初始数据（S202）；再次获取超声检测后的第二检测信号（S203）；将第二检测信号与本地存储的第一检测信号进行比对，若存在差异，则将差异部分传输至云端，对云端储存的初始数据中的差异部分进行替换（S204）。通过只上传存在差异的数据至云端进行相应的分析，数据量会有很大程度的减少，再与云端存储的数据进行替换后及时更新云端的数据状态，提高了检测效率。

Description

一种超声检测方法及装置
本申请要求于2019年12月4日提交中国专利局、申请号为201911228844.0、发明名称为“一种超声检测方法及装置”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及超声检测技术领域，尤其涉及一种超声检测方法及装置。
背景技术
超声检测技术是指利用超声波对金属构件内部缺陷进行检查的一种无损探伤方法。用发射探头向构件表面通过耦合剂发射超声波，超声波在构件内部传播时遇到不同界面将有不同的反射信号。利用不同反射信号传递到探头的时间差，可以检查到构件内部的缺陷。根据在示波器上显示出的回波信号的高度、位置等可以判断缺陷的大小，位置和以及物件的大致性质。
传统的集中式的超声检测方式响应速度慢，效率低以及传输和接收数据多，尤其是全聚焦算法所需的数据量庞大，对计算机的内存和GPU的处理速度要求高。相对于传统的计算方式，云端在很大的程度上对海量存储的数据会提高计算的效率，减少计算的时间，从而达到较快的对系统做出响应，达到较快的速度。
传统的超声检测方式是把每次接收的数据全部汇总后传输到数据处理单元进行处理，对于需要检测的工件如果数据过大势必会影响数据处理单元的速度，对硬件的要求会更高，对检测的实时性会有很大的障碍。另外，传统的超声检测在结构上一般是集中式的，数据的采集相对会慢很多。
发明内容
本申请实施例提供了一种超声检测方法及装置，使得传输数据量大大减少，并能提高了检测效率。
有鉴于此，本申请第一方面提供了一种超声检测方法，所述方法包括：
获取超声检测后的第一检测信号；
将所述第一检测信号的数据保存至本地；
将所述数据传输至云端进行保存，将存储至本地以及云端的所述数据作为初始数据；
再次获取超声检测后的第二检测信号；
将所述第二检测信号与本地存储的所述第一检测信号进行比对，若存在差异，则将差异部分传输至云端，对云端储存的所述初始数据中的差异部分进行替换。
可选的，还包括对所述第一检测信号以及第二检测信号的数据进行预处理。
可选的，在将所述第二检测信号与本地存储的所述第一检测信号进行比对之后还包括：
若不存在差异，则传输校验码至所述云端，使得云端获取到所述第二检测信号与所述第一检测信号不存在差异的消息。
可选的，在所述对云端储存的所述初始数据中的差异部分进行替换之后还包括：
云端对所述数据进行计算得到成像结果，并将所述成像结果传输至用户终端进行显示。
可选的，在所述云端对所述数据进行计算得到成像结果，并将所述成像结果传输至用户终端进行显示之后还包括：
根据设定的阈值对相邻检测信号间的时间差进行检测，若所述时间差超过所述阈值，则云端向用户终端发送预警信息。
本申请第二方面提供一种超声检测装置，所述装置包括：
第一信号获取单元，所述第一信号获取模块用于获取超声检测后的第一检测信号；
第一存储单元，所述第一存储单元用于将所述第一检测信号的数据保存至本地；
第二存储单元，所述第二存储单元用于将所述数据传输至云端进行保存；
所述存储至本地以及云端的所述数据作为初始数据；
第二信号获取单元，所述第二获取单元用于再次获取超声检测后的第二检测信号；
比较单元，所述比较单元用于将所述第二检测信号与本地存储的所述第一检测信号进行比对，若存在差异，则将差异部分传输至云端；
替换单元，所述替换单元用于对云端储存的所述初始数据中的差异部分进行替换。
可选的，还包括：预处理单元，所述预处理单元用于对所述第一检测信号以及第二检测信号的数据进行预处理。
可选的，还包括：校验识别单元，所述校验识别单元用于获取云端的校验码，使得云端获取到所述第二检测信号与所述第一检测信号不存在差异的消息。
可选的，还包括：计算成像单元，所述计算成像单元用于对所述数据进行计算得到成像结果，并将所述成像结果传输至用户终端进行显示。
可选的，还包括：检测警报单元，所述检测警报单元用于根据设定的阈值对相邻检测信号间的时间差进行检测，若所述时间差超过所述阈值，则云端向用户终端发送预警信息。
从以上技术方案可以看出，本申请实施例具有以下优点：
本申请实施例中，提供了一种超声检测方法，包括：获取超声检测后的第一检测信号；将第一检测信号的数据保存至本地；将数据传输至云端进行保存，将存储至本地以及云端的数据作为初始数据；再次获取超声检测后的第二检测信号；将第二检测信号与本地存储的第一检测信号进行比对，若存在差异，则将差异部分传输至云端，对云端储存的初始数据中的差异部分进行替换。
本申请通过将有差异的数据部分传输至云端，并将有差异的数据进行替换，使得上传的数据量会有很大程度的减少；另外本申请将数据处理的方式放在云端上，替代传统的计算机在本地上进行全聚焦重建及智能运算分析，能够不受本地内存以及各种硬件的影响，减少对硬件的依赖，加快处理的速度。
附图说明
图1为本申请一种超声检测方法的一个实施例的方法图；
图2为本申请一种超声检测方法的另一个实施例的方法流程图；
图3为本申请一种超声检测装置的一个实施例的结构示意图。
具体实施方式
本申请通过将有差异的数据部分传输至云端，并将有差异的数据进行替换，使得上传的数据量会有很大程度的减少；另外本申请将数据处理的方式放在云端上，替代传统的计算机在本地上进行全聚焦重建及智能运算分析，能够不受本地内存以及各种硬件的影响，减少对硬件的依赖，加快处理的速度。
为了使本技术领域的人员更好地理解本申请方案，下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
请参阅图1，图1为本申请一种超声检测方法的一个实施例的方法图，如图1所示，图1中包括：
101、获取超声检测后的第一检测信号。
需要说明的是，在一种具体的实施方式中，可以采用具有m×n个超声阵元的探头去激发和接收超声信号，当开关电路激发电信号作用于阵元i 11时，逆压电效应的作用会使阵元i 11产生超声波，碰到物体后反射回来，阵元i 11受正压电效应产生电信号u 11；当开关电路激发电信号作用于阵元i 11时，由于逆压电效应阵元i 11会产生超声波，碰到物体后反射回来阵元i 12受正压电效应会产生电信号u 12；保持阵元i 11作为激发阵元，依次进行以上的步骤(n-2)次，会收到电信号u 11，u 12，....u 1n；保持阵元i 11作为激发阵元，逐次进行至第m行的所有阵元接收，会收到电信号u m1，u m2，....u mn，保存所获得所有行的电信号的数据，此时阵元i 11的电信号接收完成，把i 11的接收的数据表示为I 11；改变激发阵元，依次选择激发阵元i 12，i 13，...i m1，i m2，...i mn产生 超声信号，重复以上步骤，完成余下(m×n-1)个阵元的电信号接收,把(m×n-1)个阵元接收的数据分别表示为I 12,I 13,…I m1,I m2…I mn；其中的电信号I 11,I 12,I 13,…I m1,I m2…I mn即为第一检测信号。
102、将第一检测信号的数据保存至本地；将数据传输至云端进行保存，将存储至本地以及云端的数据作为初始数据。
需要说明的是，第一检测信号需要经过预处理，再保存至本地以及传输至云端，其中的预处理是对采集的信号进行滤波放大以及降噪，预处理的主要作用是剔除噪声对信号的影响。并且，其中的第一检测信号为第一次检测得到的信号，因此，为了实现后续的差异数据的替换，需要将第一次检测的信号同时保存至本地以及云端。
103、再次获取超声检测后的第二检测信号。
需要说明的是，超声检测为实时性的检测，即按照预设的频率对物体进行检测，因此每隔一定的时间会检测一次，若检测时间的间隔出现偏差，则可能为物体产生故障或损坏导致。
104、将第二检测信号与本地存储的第一检测信号进行比对，若存在差异，则将差异部分传输至云端，对云端储存的所述初始数据中的差异部分进行替换。
需要说明的是，对于第二检测信号I' 11,I' 12,I' 13,…I' m1,I' m2…I' mn，会将数据再一次在本地进行保存，可按照对应的规则进行逻辑比较计算，将电信号I' 11,I' 12,I' 13,…I' m1,I' m2…I' mn和I 11,I 12,I 13,…I m1,I m2…I mn预处理后的数据进行对应的比较处理。如果两组数据没有差异，则不上传数据I' 11,I' 12,I' 13,…I' m1,I' m2…I' mn预处理后的数据至云端，接受处理单元会给云端一个校验码，使云端保持I 11,I 12,I 13,…I m1,I m2…I mn预处理后的数据不变；如果两组数据中有部分数据是变化的，只需要将变化的部分数据上传到云端，对应地替换掉原来存储在云端的数据即可。
本申请通过将有差异的数据部分传输至云端，并将有差异的数据进行替换，使得上传的数据量会有很大程度的减少；另外本申请将数据处理的方式放在云端上，替代传统的计算机在本地上进行全聚焦重建及智能运算分析，能够不受本地内存以及各种硬件的影响，减少对硬件的依赖，加快 处理的速度。
为了便于理解，请参阅图2，图2为本申请一种超声检测方法的另一个实施例的方法流程图，如图2所示，具体为：
201、获取超声检测后的第一检测信号。
需要说明的是，在一种具体的实施方式中，可以采用具有m×n个超声阵元的探头去激发和接收超声信号，当开关电路激发电信号作用于阵元i 11时，逆压电效应的作用会使阵元i 11产生超声波，碰到物体后反射回来，阵元i 11受正压电效应产生电信号u 11；当开关电路激发电信号作用于阵元i 11时，由于逆压电效应阵元i 11会产生超声波，碰到物体后反射回来阵元i 12受正压电效应会产生电信号u 12；保持阵元i 11作为激发阵元，依次进行以上的步骤(n-2)次，会收到电信号u 11，u 12，....u 1n；保持阵元i 11作为激发阵元，逐次进行至第m行的所有阵元接收，会收到电信号u m1，u m2，....u mn，保存所获得所有行的电信号的数据，此时阵元i 11的电信号接收完成，把i 11的接收的数据表示为I 11；改变激发阵元，依次选择激发阵元i 12，i 13，...i m1，i m2，...i mn产生超声信号，重复以上步骤，完成余下(m×n-1)个阵元的电信号接收,把(m×n-1)个阵元接收的数据分别表示为I 12,I 13,…I m1,I m2…I mn；其中的电信号I 11,I 12,I 13,…I m1,I m2…I mn即为第一检测信号。
以上是本申请单个探头的情况，在一种具体的实施方式中，还可以采用多个探头的信号采集和处理，探头的数目可以根据用户的需求进行设置，同时需要设置相对应的系统重复采集频率，从而更新改变循环的次数，达到能够及时对云端的数据进行更新。同样探头的设置为分布式的，可以同时对多种不同类型、不同尺寸的试件进行检测。
202、将第一检测信号的数据保存至本地；将数据传输至云端进行保存，将存储至本地以及云端的数据作为初始数据。
需要说明的是，第一检测信号需要经过预处理，再保存至本地以及传输至云端，其中的预处理是对采集的信号进行滤波放大以及降噪，预处理的主要作用是剔除噪声对信号的影响。并且，其中的第一检测信号为第一次检测得到的信号，因此，为了实现后续的差异数据的替换，需要将第一次检测的信号同时保存至本地以及云端。
还需要说明的是，本地还包括数据处理单元以及存储器单元，其中数据处理单元用于对采集到的数据进行收发、比对、分析处理、预处理等功能，存储单元用于存储采集的信号。
203、再次获取超声检测后的第二检测信号。
需要说明的是，超声检测为实时性的检测，即按照预设的频率对物体进行检测，因此每隔一定的时间会检测一次，若检测时间的间隔出现偏差，则可能为物体产生故障或损坏导致。其中的预设的频率可以根据系统处理数据的能力和用户的需求进行设定的。
204、将第二检测信号与本地存储的第一检测信号进行比对，若存在差异，则将差异部分传输至云端，对云端储存的所述初始数据中的差异部分进行替换。
需要说明的是，对于第二检测信号I' 11,I' 12,I' 13,…I' m1,I' m2…I' mn，会将数据再一次在本地进行保存，可按照对应的规则进行逻辑比较计算，将电信号I' 11,I' 12,I' 13,…I' m1,I' m2…I' mn和I 11,I 12,I 13,…I m1,I m2…I mn预处理后的数据进行对应的比较处理。如果两组数据没有差异，则不上传数据I' 11,I' 12,I' 13,…I' m1,I' m2…I' mn预处理后的数据至云端，接受处理单元会给云端一个校验码，使云端保持第一检测信号I 11,I 12,I 13,…I m1,I m2…I mn预处理后的数据不变；如果两组数据中有部分数据是变化的，只需要将变化的部分数据上传到云端，对应地替换掉原来存储在云端的数据即可。
205、若不存在差异，则传输校验码至云端，使得云端获取到第二检测信号与第一检测信号不存在差异的消息。
需要说明的是，如果第二检测信号的数据与第一检测信号的数据没有差异，则只用上传检验码至云端使得云端获取到第二检测信号与第一检测信号不存在差异的消息，使云端保持第一检测信号I 11,I 12,I 13,…I m1,I m2…I mn预处理后的数据不变。
206、云端对数据进行计算得到成像结果，并将成像结果传输至用户终端进行显示。
需要说明的是，云端可以对第一检测信号以及第二检测信号经过预处理的数据进行分析处理，并能实时更新，并通过三维实时全聚焦算法进行 成像以及相对应的智能化监测处理。
207、根据设定的阈值对相邻检测信号间的时间差进行检测，若时间差超过所述阈值，则云端向用户终端发送预警信息。
需要说明的是，若检测的物体未发生改变时，相邻两次信号的相隔时差固定，因此，可以设置相邻检测信号间的时间差阈值，若相邻检测信号间的时间差超过该阈值，则表示物体故障，那么云端需要向用户终端发送预警信息。
以上是本申请方法的实施例，本申请还提供了一种超声检测装置的一个实施例的结构示意图，如图3所示，包括：
第一信号获取单元301，用于获取超声检测后的第一检测信号。
第一存储单元302，用于将第一检测信号的数据保存至本地。
第二存储单元303，用于将数据传输至云端进行保存。
存储至本地以及云端的数据作为初始数据。
第二信号获取单元304，用于再次获取超声检测后的第二检测信号。
比较单元305，用于将第二检测信号与本地存储的第一检测信号进行比对，若存在差异，则将差异部分传输至云端。
替换单元306，用于对云端储存的所述初始数据中的差异部分进行替换。
具体的，还包括：
预处理单元，用于对第一检测信号以及第二检测信号的数据进行预处理。
校验识别单元，用于获取云端的校验码，使得云端获取到第二检测信号与第一检测信号不存在差异的消息。
计算成像单元，用于对数据进行计算得到成像结果，并将成像结果传输至用户终端进行显示。
检测警报单元，用于根据设定的阈值对相邻检测信号间的时间差进行检测，若时间差超过阈值，则云端向用户终端发送预警信息。
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的系统，装置和单元的具体工作过程，可以参考前述方法实施例中的 对应过程，在此不再赘述。
本申请的说明书及上述附图中的术语“第一”、“第二”、“第三”、“第四”等(如果存在)是用于区别类似的对象，而不必用于描述特定的顺序或先后次序。应该理解这样使用的数据在适当情况下可以互换，以便这里描述的本申请的实施例例如能够以除了在这里图示或描述的那些以外的顺序实施。此外，术语“包括”和“具有”以及他们的任何变形，意图在于覆盖不排他的包含，例如，包含了一系列步骤或单元的过程、方法、系统、产品或设备不必限于清楚地列出的那些步骤或单元，而是可包括没有清楚地列出的或对于这些过程、方法、产品或设备固有的其它步骤或单元。
应当理解，在本申请中，“至少一个(项)”是指一个或者多个，“多个”是指两个或两个以上。“和/或”，用于描述关联对象的关联关系，表示可以存在三种关系，例如，“A和/或B”可以表示：只存在A，只存在B以及同时存在A和B三种情况，其中A，B可以是单数或者复数。字符“/”一般表示前后关联对象是一种“或”的关系。“以下至少一项(个)”或其类似表达，是指这些项中的任意组合，包括单项(个)或复数项(个)的任意组合。例如，a，b或c中的至少一项(个)，可以表示：a，b，c，“a和b”，“a和c”，“b和c”，或“a和b和c”，其中a，b，c可以是单个，也可以是多个。
在本申请所提供的几个实施例中，应该理解到，所揭露装置和方法，可以通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如，所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性，机械或其它的形式。
另外，在本申请各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。
所述集成的单元如果以软件功能单元的形式实现并作为独立的产品销 售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本申请各个实施例所述方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器(英文全称：Read-Only Memory，英文缩写：ROM)、随机存取存储器(英文全称：Random Access Memory，英文缩写：RAM)、磁碟或者光盘等各种可以存储程序代码的介质。
以上所述，以上实施例仅用以说明本申请的技术方案，而非对其限制；尽管参照前述实施例对本申请进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本申请各实施例技术方案的精神和范围。

Claims (10)

  1. 一种超声检测方法，其特征在于，包括：
    获取超声检测后的第一检测信号；
    将所述第一检测信号的数据保存至本地；
    将所述数据传输至云端进行保存，将存储至本地以及云端的所述数据作为初始数据；
    再次获取超声检测后的第二检测信号；
    将所述第二检测信号与本地存储的所述第一检测信号进行比对，若存在差异，则将差异部分传输至云端，对云端储存的所述初始数据中的差异部分进行替换。
  2. 根据权利要求1所述的超声检测方法，其特征在于，还包括：
    对所述第一检测信号以及所述第二检测信号的数据进行预处理。
  3. 根据权利要求1所述的超声检测方法，其特征在于，在将所述第二检测信号与本地存储的所述第一检测信号进行比对之后还包括：
    若不存在差异，则传输校验码至所述云端，使得云端获取到所述第二检测信号与所述第一检测信号不存在差异的消息。
  4. 根据权利要求1所述的超声检测方法，其特征在于，在所述对云端储存的所述初始数据中的差异部分进行替换之后还包括：
    云端对所述数据进行计算得到成像结果，并将所述成像结果传输至用户终端进行显示。
  5. 根据权利要求4所述的超声检测方法，其特征在于，在所述云端对所述数据进行计算得到成像结果，并将所述成像结果传输至用户终端进行显示之后还包括：
    根据设定的阈值对相邻检测信号间的时间差进行检测，若所述时间差超过所述阈值，则云端向所述用户终端发送预警信息。
  6. 一种超声检测装置，其特征在于，包括：
    第一信号获取单元，所述第一信号获取模块用于获取超声检测后的第一检测信号；
    第一存储单元，所述第一存储单元用于将所述第一检测信号的数据保 存至本地；
    第二存储单元，所述第二存储单元用于将所述数据传输至云端进行保存；
    所述存储至本地以及云端的所述数据作为初始数据；
    第二信号获取单元，所述第二获取单元用于再次获取超声检测后的第二检测信号；
    比较单元，所述比较单元用于将所述第二检测信号与本地存储的所述第一检测信号进行比对，若存在差异，则将差异部分传输至云端；
    替换单元，所述替换单元用于对云端储存的所述初始数据中的差异部分进行替换。
  7. 根据权利要求6所述的超声检测装置，其特征在于，还包括：
    预处理单元，所述预处理单元用于对所述第一检测信号以及第二检测信号的数据进行预处理。
  8. 根据权利要求6所述的超声检测装置，其特征在于，还包括：
    校验识别单元，所述校验识别单元用于获取云端的校验码，使得云端获取到所述第二检测信号与所述第一检测信号不存在差异的消息。
  9. 根据权利要求6所述的超声检测装置，其特征在于，还包括：
    计算成像单元，所述计算成像单元用于对所述数据进行计算得到成像结果，并将所述成像结果传输至用户终端进行显示。
  10. 根据权利要求9所述的超声检测装置，其特征在于，还包括：
    检测警报单元，所述检测警报单元用于根据设定的阈值对相邻检测信号间的时间差进行检测，若所述时间差超过所述阈值，则云端向所述用户终端发送预警信息。
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