CN111130653A - Automatic calibration method, system, terminal device and computer readable storage medium - Google Patents
Automatic calibration method, system, terminal device and computer readable storage medium Download PDFInfo
- Publication number
- CN111130653A CN111130653A CN201911136536.5A CN201911136536A CN111130653A CN 111130653 A CN111130653 A CN 111130653A CN 201911136536 A CN201911136536 A CN 201911136536A CN 111130653 A CN111130653 A CN 111130653A
- Authority
- CN
- China
- Prior art keywords
- calibration
- parameter information
- preset
- target
- information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
Landscapes
- Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Monitoring And Testing Of Transmission In General (AREA)
Abstract
The application relates to an automatic calibration method, a system, a terminal device and a computer readable storage medium, wherein the method comprises the following steps: when a calibration instruction of a target calibration object is detected, acquiring target parameter information of the target calibration object; matching the target parameter information with preset parameter information prestored in a calibration database, wherein calibration compensation information generated by utilizing the collected preset parameter information of a plurality of preset calibration objects is stored in the calibration database; determining preset parameter information corresponding to the target parameter information according to the matching result; and executing calibration compensation operation on the target parameter information by using calibration compensation information of the preset parameter information. The method and the device can simplify the calibration operation process, improve the test speed, meet the accuracy requirement of a test system, and improve the test efficiency and accuracy.
Description
Technical Field
The present application relates to the field of test and diagnosis technologies, and in particular, to an automatic calibration method, system, terminal device, and computer-readable storage medium.
Background
In the field of comprehensive testing and diagnosis, along with the improvement of the complexity of a tested system, the requirement on the accuracy of the tested system is further improved. Especially during microwave testing, ATE automatic test system interconnects (ICA to instrument) and external interconnects (UUT to ICA and radio frequency switches) cause signal attenuation.
In the related art, high performance waveguide or compensation at the signal source end is usually adopted. However, as the operation time of the device increases, the attenuation characteristic of the microwave cable inevitably deviates, and the compensation means adopted in the related art is complex and complicated in operation flow, cannot effectively compensate for the long-term variation of the attenuation characteristic of the microwave cable, and cannot completely ensure the accuracy in the use process.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
In order to solve the technical problems that in a compensation means adopted in the related art, due to complicated and complicated operation flow, the change generated by the attenuation characteristic of the microwave cable for a long time cannot be effectively compensated, and the accuracy in the use process cannot be completely guaranteed, the embodiment of the application provides an automatic calibration method, an automatic calibration system, terminal equipment and a computer readable storage medium.
In view of the above, in a first aspect, an embodiment of the present application provides an automatic calibration method, including the following steps:
when a calibration instruction of a target calibration object is detected, acquiring target parameter information of the target calibration object;
matching the target parameter information with preset parameter information prestored in a calibration database, wherein calibration compensation information generated by utilizing the collected preset parameter information of a plurality of preset calibration objects is stored in the calibration database;
determining preset parameter information corresponding to the target parameter information according to the matching result;
and executing calibration compensation operation on the target parameter information by using calibration compensation information of the preset parameter information.
With reference to the first aspect, in a first possible implementation manner of the first aspect, the method further includes:
acquiring insertion loss data of the preset calibration object;
generating calibration compensation information of the preset calibration object by using the insertion loss data;
and uploading the calibration compensation information to the calibration database through wireless LAN communication.
With reference to the first aspect, in a second possible implementation manner of the first aspect, the acquiring insertion loss data of the preset calibration object includes:
and carrying out segmented frequency sweeping on the preset calibration object to obtain the insertion loss data.
With reference to the first aspect, in a third possible implementation manner of the first aspect, the performing, by using the calibration compensation information of the preset parameter information, a calibration compensation operation on the target parameter information includes:
generating an executable file carrying the calibration compensation information by utilizing the calibration compensation information of the preset parameter information;
and automatically executing the calibration compensation operation on the target parameter information by using the executable file.
With reference to the first aspect, in a fourth possible implementation manner of the first aspect, the target calibration object includes one or more of the following:
radio frequency cables, radio frequency switch paths, radio frequency instruments, internal wiring, and external wiring.
In a second aspect, embodiments of the present application provide an automatic calibration system,
with reference to the second aspect, in a first possible implementation manner of the second aspect, the system includes:
the device comprises an acquisition unit, a calibration unit and a control unit, wherein the acquisition unit is used for acquiring target parameter information of a target calibration object when a calibration instruction of the target calibration object is detected;
the matching unit is used for matching the target parameter information with preset parameter information prestored in a calibration database, wherein the calibration database stores calibration compensation information generated by utilizing the collected preset parameter information of a plurality of preset calibration objects;
the determining unit is used for determining preset parameter information corresponding to the target parameter information according to the matching result; and
and the execution unit is used for executing the calibration compensation operation on the target parameter information by utilizing the calibration compensation information of the preset parameter information.
With reference to the second aspect, in a second possible implementation manner of the second aspect, the system further includes:
the acquisition unit is used for acquiring insertion loss data of the preset calibration object;
the generating unit is used for generating calibration compensation information of the preset calibration object by using the insertion loss data;
and the uploading unit is used for uploading the calibration compensation information to the calibration database through wireless LAN communication.
With reference to the second aspect, in a third possible implementation manner of the second aspect, the acquisition unit includes:
and the frequency sweep subunit is used for carrying out segmented frequency sweep on the preset calibration object to obtain the insertion loss data.
In a third aspect, an embodiment of the present application provides a terminal device, where the terminal device includes: at least one processor, memory, at least one network interface, and a user interface;
the at least one processor, memory, at least one network interface, and user interface are coupled together by a bus system;
the processor is adapted to perform the steps of the auto-calibration method according to the first aspect by calling a program or instructions stored in the memory.
In a fourth aspect, the present application provides a computer-readable storage medium, on which an auto-calibration program is stored, and the auto-calibration program, when executed by a processor, implements the steps of the auto-calibration method according to the first aspect.
Compared with the prior art, the technical scheme provided by the embodiment of the application has the following advantages:
according to the automatic calibration method, the system, the terminal device and the computer readable storage medium, when a calibration instruction of a target calibration object is detected, target parameter information of the target calibration object is acquired; matching the target parameter information with preset parameter information prestored in a calibration database, wherein calibration compensation information generated by utilizing the collected preset parameter information of a plurality of preset calibration objects is stored in the calibration database; determining preset parameter information corresponding to the target parameter information according to the matching result; and executing calibration compensation operation on the target parameter information by using calibration compensation information of the preset parameter information.
The embodiment of the application provides an automatic calibration method aiming at the defects that the compensation means adopted by the related technology cannot effectively compensate the change generated by the attenuation characteristic of the microwave cable for a long time due to complicated and complicated operation flow and cannot completely ensure the accuracy in the using process.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a schematic flowchart of an automatic calibration method according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart of another automatic calibration method according to an embodiment of the present application;
fig. 3 is a schematic flowchart of another automatic calibration method according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an automatic calibration system according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of a mobile terminal according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
A server implementing various embodiments of the present invention will now be described with reference to the accompanying drawings. In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for facilitating the explanation of the present invention, and have no specific meaning in themselves. Thus, "module" and "component" may be used in a mixture.
An embodiment of the present application provides an automatic calibration method, as shown in fig. 1, the method may include the following steps:
s101, when a calibration instruction of a target calibration object is detected, acquiring target parameter information of the target calibration object.
Optionally, the target calibration object comprises one or more of:
radio frequency cables, radio frequency switch paths, radio frequency instruments, internal wiring, and external wiring.
The embodiment of the application mainly aims at automatic calibration of a microwave auxiliary test unit, and comprises internal connection calibration, external connection calibration, radio frequency switch path calibration, fixed attenuator path calibration, power amplifier path calibration, coupler path calibration, program-controlled attenuator special path calibration and the like in the microwave auxiliary test unit.
As can be seen from the above, the automatic calibration method provided in the embodiment of the present application mainly includes two calibration functions, namely, an instrument-level calibration and a system-level calibration, where the instrument-level calibration mainly implements calibration of a calibration instrument itself, and achieves the purpose of improving the accuracy and index of the instrument, and the system-level calibration is divided into an internal connection calibration and an external connection calibration. The internal connection calibration refers to calibrating the connection loss between a calibration instrument and an ICA end; the external connection calibration means calibrating the loss of the WL connection and the connection passing through the switch.
Optionally, the switching instrument in the system functions to provide a path, which can be classified as internal or external, and since the path provided by the switching instrument needs to be changed continuously during the compiling process, and dynamic search is performed through the path, which is similar to the logic of WL and is different from that of internal connection, which is a fixed value, the embodiment of the present application classifies the loss of the connection of the landscape switching instrument as external connection calibration for the sake of more convenient calibration.
Optionally, common calibration instruments of the microwave-assisted test unit in the embodiment of the present application include, but are not limited to, a vector network analyzer, a spectrum analyzer, a signal source, and the like, calibration software controls the calibration instrument through a program, acquires insertion loss data of a tested cable, and uploads calibration compensation information to a calibration database through LAN communication, automatic test software automatically reads the calibration compensation information in the calibration database in a compiling process, an executable automatic test flow file carrying the calibration compensation information is generated, an automatic test process is completed, and accuracy of automatic test is improved through a calibration compensation method.
Optionally, the microwave auxiliary testing unit is composed of a SP6T microwave switch, an SPDT microwave switch, a high-power fixed attenuator, a programmable attenuator, a coupler, a detector, a coaxial load, a circulator, an amplifier and other microwave modules, and a control panel, an AC-DC power supply module, an image display module, a power supply filtering module and other parts.
Optionally, in order to facilitate function expansion, each module in the microwave auxiliary test unit is integrated to the front panel as much as possible, and each microwave module interface is flexibly connected through a radio frequency cable according to test requirements, so that the universal test requirements are met. Modules such as an SP6T microwave switch, an SPDT microwave switch and a program-controlled attenuator in the microwave auxiliary test unit are controlled by a network IO control circuit to be communicated, meanwhile, a front panel is provided with a liquid crystal display screen, and the equipment has the function of displaying the working state of a microwave device in real time.
Optionally, the number of the switching channels of the microwave switch and the control instruction of the attenuation of the programmable attenuator are set by operating the soft panel, and the switching control instruction of the channels of the microwave switch and the attenuation communication instruction of the programmable attenuator are sent and received on the control panel through the LAN network interface or the USB interface, so that the selection of different links of the radio frequency channel and the setting of different attenuations of the programmable attenuator are realized, and the setting of combined debugging is facilitated. The power module converts the externally input 220V power into the level and the current which can meet the working requirements of a microwave switch, a programmable attenuator and a control circuit through AC-DC. The fixed attenuator, the coaxial load, the coupler and the detector are all passive devices, power supply is not needed, the fixed attenuator, the coaxial load, the coupler and the detector can be directly connected with the panel radio frequency adapter for use according to test requirements, and the test process is simplified.
And S102, matching the target parameter information with preset parameter information stored in a calibration database in advance, wherein the calibration database stores calibration compensation information generated by utilizing the collected preset parameter information of a plurality of preset calibration objects.
Optionally, the automatic control of the calibration instrument is completed through automatic test software, preset parameter information (for example, insertion loss data of the tested cable) of a plurality of preset calibration objects is collected, and the preset parameter information is uploaded to the calibration database through LAN communication for calling of the upper computer and other software.
Optionally, the internal connection calibration (inside the calibration instrument) and the external connection calibration (UUT to the panel and the radio frequency switch) form a calibration database with independent cables and paths by performing operations such as segmented frequency sweeping, and can be called by an upper computer and other software to form an executable automatic test program carrying calibration compensation information, so that the accuracy of the test system is improved.
Optionally, the radio frequency calibration is performed by using data (e.g., insertion loss data) obtained by the segmented frequency sweep, and calibration compensation information may be automatically generated, covering the radio frequency cable, the radio frequency switch path, and the radio frequency instrument.
S103, according to the matching result, determining preset parameter information corresponding to the target parameter information.
And S104, executing calibration compensation operation on the target parameter information by using calibration compensation information of the preset parameter information.
Optionally, in the embodiment of the present application, by automatically identifying the test link in the microwave test process, for example, any device to be tested is located between the signal generator and the analyzer, and the link is switched by connecting the cable and the microwave switch, the test system can automatically analyze the test link and the attenuation values of the microwave cable and the microwave switch passing through the test link, so as to complete the calibration compensation process.
Optionally, the flow of the radio frequency signal direct connection calibration method is as follows: the calibration software finds that the test path is a radio frequency through path through compiling and link matching, then compensation achieved includes loss of the WL1 cable and loss brought by the radio frequency instrument 1, the calibration software automatically reads calibration compensation information (generated according to loss of the WL1 cable and loss of the radio frequency instrument 1) in a calibration database, and the loss information of the WL1 cable includes but is not limited to information such as cable model, number, affiliated path, category, correction value, correction coefficient and correction condition. The radio frequency instrument 1 information includes, but is not limited to, instrument location, resource identification, channel, signal name, dependent variable, signal type, attribute value, correction value, coefficient, correction condition, and the like. And compiling to form an executable automatic test flow file carrying calibration information, so as to realize radio frequency direct connection calibration in the microwave auxiliary test unit.
Optionally, the process of the radio frequency signal passing through the switch calibration method includes: the calibration software finds the test path as a path through the switch by compiling and link matching, for example, the compensation achieved includes the loss of WL2 and WL3 cables, the path loss of the rf switch, and the loss of the rf instrument 2, and the calibration compensation information in the calibration database (generated from the loss of WL2 and WL3 cables, the path loss of the rf switch, and the loss of the rf instrument 2) is automatically read by the calibration software. The cable and instrument compensation information is calibrated with the direct connection, the radio frequency switch information comprises but is not limited to information such as switch position, resource identification, channel, category, correction value, coefficient, correction condition and the like, and an executable automatic test flow file carrying calibration information is formed by compiling, so that the calibration of radio frequency signals passing through the switch in the microwave auxiliary test unit is realized.
The embodiment of the application provides an automatic calibration method aiming at the defects that the compensation means adopted by the related technology cannot effectively compensate the change of the attenuation characteristic of the microwave cable generated for a long time due to complicated and complicated operation flow and cannot completely ensure the accuracy in the using process.
According to the embodiment of the application, an automatic calibration method for a microwave auxiliary test unit is provided through calibration compensation software according to the connection mode of different types of instruments, so that the radio frequency calibration is calibrated by acquiring data through segmented frequency sweeping, and the calibration compensation software can automatically generate calibration data and cover radio frequency cables, radio frequency switch paths, radio frequency instruments and the like; by calculating loss correction values of all parts of the radio frequency path and providing the relation between the loss correction values of different radio frequency path connection modes and measured values, the method for clearly and completely expressing loss compensation of the radio frequency instrument provides guidance for microwave test equipment, and therefore the precision and the efficiency of calibration compensation are improved.
It should be noted that although fig. 1 describes a related scheme of auto-calibration, those skilled in the art will understand that auto-calibration may be performed in other ways.
In order to facilitate understanding of the embodiments of the present application, the following description will be given by way of specific examples.
Optionally, as shown in fig. 2, fig. 2 shows another auto-calibration method, the method further comprising:
s201, collecting insertion loss data of the preset calibration object.
Optionally, the acquiring the insertion loss data of the preset calibration object includes:
and carrying out segmented frequency sweeping on the preset calibration object to obtain the insertion loss data.
And S202, generating calibration compensation information of the preset calibration object by using the insertion loss data.
S203, the calibration compensation information is uploaded to the calibration database through wireless LAN communication.
Optionally, as shown in fig. 3, fig. 3 shows another auto-calibration method, the method further comprising:
s301, when a calibration instruction of a target calibration object is detected, acquiring target parameter information of the target calibration object.
S302, matching the target parameter information with preset parameter information pre-stored in a calibration database, wherein calibration compensation information generated by using the collected preset parameter information of a plurality of preset calibration objects is stored in the calibration database.
And S303, determining preset parameter information corresponding to the target parameter information according to the matching result.
S304, generating an executable file carrying the calibration compensation information by utilizing the calibration compensation information of the preset parameter information.
S305, automatically executing calibration compensation operation on the target parameter information by using the executable file.
As shown in fig. 4, fig. 4 illustrates an automatic calibration system, the system comprising:
an acquisition unit 41 configured to acquire target parameter information of a target calibration object when a calibration instruction of the target calibration object is detected;
a matching unit 42, configured to match the target parameter information with preset parameter information pre-stored in a calibration database, where calibration compensation information generated by using the collected preset parameter information of multiple preset calibration objects is stored in the calibration database;
a determining unit 43, configured to determine preset parameter information corresponding to the target parameter information according to a matching result; and
an executing unit 44, configured to execute a calibration compensation operation on the target parameter information by using calibration compensation information of the preset parameter information.
In another embodiment of the present application, the system further comprises:
the acquisition unit is used for acquiring insertion loss data of the preset calibration object;
the generating unit is used for generating calibration compensation information of the preset calibration object by using the insertion loss data;
and the uploading unit is used for uploading the calibration compensation information to the calibration database through wireless LAN communication.
In another embodiment of the present application, the matching unit includes:
and the frequency sweep subunit is used for carrying out segmented frequency sweep on the preset calibration object to obtain the insertion loss data.
Embodiments of the present application further provide a computer-readable storage medium, on which a resource allocation program is stored, where the resource allocation program, when executed by a processor, implements the steps as described in the method embodiments, for example, including:
when a calibration instruction of a target calibration object is detected, acquiring target parameter information of the target calibration object;
matching the target parameter information with preset parameter information prestored in a calibration database, wherein calibration compensation information generated by utilizing the collected preset parameter information of a plurality of preset calibration objects is stored in the calibration database;
determining preset parameter information corresponding to the target parameter information according to the matching result;
and executing calibration compensation operation on the target parameter information by using calibration compensation information of the preset parameter information.
Fig. 5 is a schematic structural diagram of a mobile terminal according to another embodiment of the present invention. The mobile terminal 500 shown in fig. 5 includes: at least one processor 501, memory 502, at least one network interface 504, and other user interfaces 503. The various components in the mobile terminal 500 are coupled together by a bus system 505. It is understood that the bus system 505 is used to enable connection communications between these components. The bus system 505 includes a power bus, a control bus, and a status signal bus in addition to a data bus. For clarity of illustration, however, the various buses are labeled as bus system 505 in FIG. 5.
The user interface 503 may include, among other things, a display, a keyboard, or a pointing device (e.g., a mouse, trackball, touch pad, or touch screen, among others.
It is to be understood that the memory 502 in embodiments of the present invention may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The non-volatile memory may be a Read-only memory (ROM), a programmable Read-only memory (PROM), an erasable programmable Read-only memory (erasabprom, EPROM), an electrically erasable programmable Read-only memory (EEPROM), or a flash memory. The volatile memory may be a Random Access Memory (RAM) which functions as an external cache. By way of example, but not limitation, many forms of RAM are available, such as static random access memory (staticiram, SRAM), dynamic random access memory (dynamic RAM, DRAM), synchronous dynamic random access memory (syncronous DRAM, SDRAM), Double Data Rate Synchronous Dynamic Random Access Memory (DDRSDRAM), Enhanced synchronous SDRAM (ESDRAM), synchronous link SDRAM (SLDRAM), and direct memory bus SDRAM (DRRAM). The memory 502 described herein is intended to comprise, without being limited to, these and any other suitable types of memory.
In some embodiments, memory 502 stores elements, executable units or data structures, or a subset thereof, or an expanded set thereof as follows: an operating system 5021 and application programs 5022.
The operating system 5021 includes various system programs, such as a framework layer, a core library layer, a driver layer, and the like, and is used for implementing various basic services and processing hardware-based tasks. The application 5022 includes various applications, such as a media player (MediaPlayer), a Browser (Browser), and the like, for implementing various application services. The program for implementing the method according to the embodiment of the present invention may be included in the application program 5022.
In the embodiment of the present invention, by calling a program or an instruction stored in the memory 502, specifically, a program or an instruction stored in the application 5022, the processor 501 is configured to execute the method steps provided by the method embodiments, for example, including:
when a calibration instruction of a target calibration object is detected, acquiring target parameter information of the target calibration object;
matching the target parameter information with preset parameter information prestored in a calibration database, wherein calibration compensation information generated by utilizing the collected preset parameter information of a plurality of preset calibration objects is stored in the calibration database;
determining preset parameter information corresponding to the target parameter information according to the matching result;
and executing calibration compensation operation on the target parameter information by using calibration compensation information of the preset parameter information.
The method disclosed by the above-mentioned embodiments of the present invention may be applied to the processor 501, or implemented by the processor 501. The processor 501 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 501. The processor 501 may be a general-purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, or discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software elements in the decoding processor. The software elements may be located in ram, flash, rom, prom, or eprom, registers, among other storage media that are well known in the art. The storage medium is located in the memory 502, and the processor 501 reads the information in the memory 502 and completes the steps of the method in combination with the hardware.
It is to be understood that the embodiments described herein may be implemented in hardware, software, firmware, middleware, microcode, or any combination thereof. For a hardware implementation, the processing units may be implemented within one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), general purpose processors, controllers, micro-controllers, microprocessors, other electronic units configured to perform the functions described herein, or a combination thereof.
For a software implementation, the techniques described herein may be implemented by means of units performing the functions described herein. The software codes may be stored in a memory and executed by a processor. The memory may be implemented within the processor or external to the processor.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functions of the units may be implemented in the same software and/or hardware or in a plurality of software and/or hardware when implementing the invention.
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 apparatus or system embodiments, since they are substantially similar to method embodiments, they are described in relative terms, as long as they are described in partial descriptions of method embodiments. The above-described embodiments of the apparatus and system are merely illustrative, and the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The foregoing are merely exemplary embodiments of the present invention, which enable those skilled in the art to understand or practice the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. An automatic calibration method, characterized in that it comprises the following steps:
when a calibration instruction of a target calibration object is detected, acquiring target parameter information of the target calibration object;
matching the target parameter information with preset parameter information prestored in a calibration database, wherein calibration compensation information generated by utilizing the collected preset parameter information of a plurality of preset calibration objects is stored in the calibration database;
determining preset parameter information corresponding to the target parameter information according to the matching result;
and executing calibration compensation operation on the target parameter information by using calibration compensation information of the preset parameter information.
2. The method of claim 1, further comprising:
acquiring insertion loss data of the preset calibration object;
generating calibration compensation information of the preset calibration object by using the insertion loss data;
and uploading the calibration compensation information to the calibration database through wireless LAN communication.
3. The method of claim 2, wherein the acquiring of the insertion loss data of the preset calibration object comprises:
and carrying out segmented frequency sweeping on the preset calibration object to obtain the insertion loss data.
4. The method according to claim 1, wherein the performing calibration compensation operation on the target parameter information using the calibration compensation information of the preset parameter information comprises:
generating an executable file carrying the calibration compensation information by utilizing the calibration compensation information of the preset parameter information;
and automatically executing the calibration compensation operation on the target parameter information by using the executable file.
5. The method of any one of claims 1 to 4, wherein the target calibration object comprises one or more of:
radio frequency cables, radio frequency switch paths, radio frequency instruments, internal wiring, and external wiring.
6. An automatic calibration system, the system comprising:
the device comprises an acquisition unit, a calibration unit and a control unit, wherein the acquisition unit is used for acquiring target parameter information of a target calibration object when a calibration instruction of the target calibration object is detected;
the matching unit is used for matching the target parameter information with preset parameter information prestored in a calibration database, wherein the calibration database stores calibration compensation information generated by utilizing the collected preset parameter information of a plurality of preset calibration objects;
the determining unit is used for determining preset parameter information corresponding to the target parameter information according to the matching result; and
and the execution unit is used for executing the calibration compensation operation on the target parameter information by utilizing the calibration compensation information of the preset parameter information.
7. The system of claim 6, further comprising:
the acquisition unit is used for acquiring insertion loss data of the preset calibration object;
the generating unit is used for generating calibration compensation information of the preset calibration object by using the insertion loss data;
and the uploading unit is used for uploading the calibration compensation information to the calibration database through wireless LAN communication.
8. The system of claim 7, wherein the acquisition unit comprises:
and the frequency sweep subunit is used for carrying out segmented frequency sweep on the preset calibration object to obtain the insertion loss data.
9. A terminal device, characterized in that the terminal device comprises: at least one processor, memory, at least one network interface, and a user interface;
the at least one processor, memory, at least one network interface, and user interface are coupled together by a bus system;
the processor is adapted to perform the steps of the auto-calibration method of any one of claims 1 to 5 by calling a program or instructions stored in the memory.
10. A computer-readable storage medium, having stored thereon an auto-calibration program, which when executed by a processor, implements the steps of the auto-calibration method of any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911136536.5A CN111130653A (en) | 2019-11-19 | 2019-11-19 | Automatic calibration method, system, terminal device and computer readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911136536.5A CN111130653A (en) | 2019-11-19 | 2019-11-19 | Automatic calibration method, system, terminal device and computer readable storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111130653A true CN111130653A (en) | 2020-05-08 |
Family
ID=70495751
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911136536.5A Pending CN111130653A (en) | 2019-11-19 | 2019-11-19 | Automatic calibration method, system, terminal device and computer readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111130653A (en) |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112179411A (en) * | 2020-09-25 | 2021-01-05 | 上海市避雷装置检测站工程部 | High-stability lightning rod detection method and device, computer equipment and storage medium |
| CN112649717A (en) * | 2020-09-15 | 2021-04-13 | 广州市几米物联科技有限公司 | Test method, test device, terminal equipment and storage medium |
| CN112731256A (en) * | 2020-12-25 | 2021-04-30 | 北京航天测控技术有限公司 | Calibration system and method |
| CN112946405A (en) * | 2021-03-23 | 2021-06-11 | 深圳市广和通无线股份有限公司 | Radio frequency test method and related device |
| CN114742249A (en) * | 2022-04-11 | 2022-07-12 | 杭州国测测绘技术有限公司 | Calibration and calibration method, device and equipment for unmanned aerial vehicle and storage medium |
| CN115026841A (en) * | 2022-08-11 | 2022-09-09 | 艾斯特国际安全技术（深圳）有限公司 | Calibration method of manipulator, terminal device and computer storage medium |
| WO2022193496A1 (en) * | 2021-03-17 | 2022-09-22 | 长鑫存储技术有限公司 | Integrated circuit test method and device |
| CN115225541A (en) * | 2022-05-12 | 2022-10-21 | 中国电子技术标准化研究院 | Calibration method and device for self-organizing network test system |
| CN116436538A (en) * | 2023-06-12 | 2023-07-14 | 西安弘捷电子技术有限公司 | Automatic calibration method and system for multi-channel TR (transmitter-receiver) component test |
| CN117192343A (en) * | 2023-11-08 | 2023-12-08 | 珠海芯业测控有限公司 | Chip testing method based on auxiliary system, electronic equipment and medium |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6184829B1 (en) * | 1999-01-08 | 2001-02-06 | Trueposition, Inc. | Calibration for wireless location system |
| CN101357644A (en) * | 2008-09-08 | 2009-02-04 | 北京交通大学 | Locomotive wheel diameter automatic calibration system and method based on satellite positioning |
| CN102252820A (en) * | 2011-06-22 | 2011-11-23 | 成都新易盛通信技术有限公司 | On-line automatic testing system in production of optical module |
| CN103309724A (en) * | 2013-05-16 | 2013-09-18 | 中国电子科技集团公司第四十一研究所 | Universal management method for virtual channels based on automatic test system software |
| CN103697928A (en) * | 2013-12-25 | 2014-04-02 | 北京航天测控技术有限公司 | Instrument calibration method and device |
| CN103856595A (en) * | 2014-02-26 | 2014-06-11 | 宁波麦博韦尔移动电话有限公司 | Method and device for automatically calculating compensation for mobile-phone radio frequency testing system |
| US20150039278A1 (en) * | 2013-07-30 | 2015-02-05 | University Of Florida Research Foundation, Inc. | System and method for automated model calibration, sensitivity analysis, and optimization |
| CN105812494A (en) * | 2016-05-26 | 2016-07-27 | 深圳天珑无线科技有限公司 | Photographing calibration parameter updating method, device and related equipment |
| CN106506101A (en) * | 2016-09-21 | 2017-03-15 | 深圳市鼎阳科技有限公司 | A kind of receiver amplitude-frequency response automatized calibration method and device |
| CN108039921A (en) * | 2017-12-05 | 2018-05-15 | 广东欧珀移动通信有限公司 | A kind of calibration method of mobile terminal, terminal device and storage medium |
| CN108934045A (en) * | 2018-06-06 | 2018-12-04 | Oppo广东移动通信有限公司 | A kind of method, apparatus and computer storage medium adjusting calibration parameter |
| US20190082287A1 (en) * | 2017-09-08 | 2019-03-14 | Netscout Systems, Inc | Automatic calibration of geolocation analytic systems and operator network equipment parameters |
| CN110309374A (en) * | 2019-05-22 | 2019-10-08 | 深圳市金泰克半导体有限公司 | A kind of analytic method, system, terminal device and computer readable storage medium |
-
2019
- 2019-11-19 CN CN201911136536.5A patent/CN111130653A/en active Pending
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6184829B1 (en) * | 1999-01-08 | 2001-02-06 | Trueposition, Inc. | Calibration for wireless location system |
| CN101357644A (en) * | 2008-09-08 | 2009-02-04 | 北京交通大学 | Locomotive wheel diameter automatic calibration system and method based on satellite positioning |
| CN102252820A (en) * | 2011-06-22 | 2011-11-23 | 成都新易盛通信技术有限公司 | On-line automatic testing system in production of optical module |
| CN103309724A (en) * | 2013-05-16 | 2013-09-18 | 中国电子科技集团公司第四十一研究所 | Universal management method for virtual channels based on automatic test system software |
| US20150039278A1 (en) * | 2013-07-30 | 2015-02-05 | University Of Florida Research Foundation, Inc. | System and method for automated model calibration, sensitivity analysis, and optimization |
| CN103697928A (en) * | 2013-12-25 | 2014-04-02 | 北京航天测控技术有限公司 | Instrument calibration method and device |
| CN103856595A (en) * | 2014-02-26 | 2014-06-11 | 宁波麦博韦尔移动电话有限公司 | Method and device for automatically calculating compensation for mobile-phone radio frequency testing system |
| CN105812494A (en) * | 2016-05-26 | 2016-07-27 | 深圳天珑无线科技有限公司 | Photographing calibration parameter updating method, device and related equipment |
| CN106506101A (en) * | 2016-09-21 | 2017-03-15 | 深圳市鼎阳科技有限公司 | A kind of receiver amplitude-frequency response automatized calibration method and device |
| US20190082287A1 (en) * | 2017-09-08 | 2019-03-14 | Netscout Systems, Inc | Automatic calibration of geolocation analytic systems and operator network equipment parameters |
| CN108039921A (en) * | 2017-12-05 | 2018-05-15 | 广东欧珀移动通信有限公司 | A kind of calibration method of mobile terminal, terminal device and storage medium |
| CN108934045A (en) * | 2018-06-06 | 2018-12-04 | Oppo广东移动通信有限公司 | A kind of method, apparatus and computer storage medium adjusting calibration parameter |
| CN110309374A (en) * | 2019-05-22 | 2019-10-08 | 深圳市金泰克半导体有限公司 | A kind of analytic method, system, terminal device and computer readable storage medium |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112649717A (en) * | 2020-09-15 | 2021-04-13 | 广州市几米物联科技有限公司 | Test method, test device, terminal equipment and storage medium |
| CN112179411A (en) * | 2020-09-25 | 2021-01-05 | 上海市避雷装置检测站工程部 | High-stability lightning rod detection method and device, computer equipment and storage medium |
| CN112731256A (en) * | 2020-12-25 | 2021-04-30 | 北京航天测控技术有限公司 | Calibration system and method |
| CN112731256B (en) * | 2020-12-25 | 2023-03-03 | 北京航天测控技术有限公司 | Calibration system and method |
| WO2022193496A1 (en) * | 2021-03-17 | 2022-09-22 | 长鑫存储技术有限公司 | Integrated circuit test method and device |
| CN112946405A (en) * | 2021-03-23 | 2021-06-11 | 深圳市广和通无线股份有限公司 | Radio frequency test method and related device |
| CN114742249A (en) * | 2022-04-11 | 2022-07-12 | 杭州国测测绘技术有限公司 | Calibration and calibration method, device and equipment for unmanned aerial vehicle and storage medium |
| CN115225541A (en) * | 2022-05-12 | 2022-10-21 | 中国电子技术标准化研究院 | Calibration method and device for self-organizing network test system |
| CN115225541B (en) * | 2022-05-12 | 2023-05-09 | 中国电子技术标准化研究院 | Calibration method, device and storage medium of self-organizing network test system |
| CN115026841A (en) * | 2022-08-11 | 2022-09-09 | 艾斯特国际安全技术（深圳）有限公司 | Calibration method of manipulator, terminal device and computer storage medium |
| CN115026841B (en) * | 2022-08-11 | 2022-11-11 | 艾斯特国际安全技术（深圳）有限公司 | Calibration method of manipulator, terminal device and computer storage medium |
| CN116436538A (en) * | 2023-06-12 | 2023-07-14 | 西安弘捷电子技术有限公司 | Automatic calibration method and system for multi-channel TR (transmitter-receiver) component test |
| CN116436538B (en) * | 2023-06-12 | 2023-11-21 | 西安弘捷电子技术有限公司 | Automatic calibration method and system for multi-channel TR (transmitter-receiver) component test |
| CN117192343A (en) * | 2023-11-08 | 2023-12-08 | 珠海芯业测控有限公司 | Chip testing method based on auxiliary system, electronic equipment and medium |
| CN117192343B (en) * | 2023-11-08 | 2024-01-23 | 珠海芯业测控有限公司 | Chip testing method based on auxiliary system, electronic equipment and medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111130653A (en) | Automatic calibration method, system, terminal device and computer readable storage medium | |
| CN109582525B (en) | Test code verification method, verification device, equipment and storage medium | |
| CN101738604B (en) | Automatic test system for millimeter wave receiver | |
| US20040203726A1 (en) | Testing system for cellular phone module and method thereof | |
| CN102207545B (en) | Automatic testing method and system for transmission characteristic of microwave/millimeter wave vector modulator | |
| CN111610393A (en) | Automatic test system and method for multi-channel broadband microwave integrated component | |
| CN101251573A (en) | Automatic testing method for mixer third order inter-modulation distortion of radio-frequency tuner chip | |
| CN111290957A (en) | Signal-oriented test path planning method, device, equipment and storage medium | |
| CN101482603A (en) | Automatic calibration system of frequency spectrum analyzer | |
| CN104777416A (en) | Testing method and tester for circuit board | |
| CN104915297A (en) | APP electricity consumption automatic test method for android device | |
| US9563527B2 (en) | Test system | |
| CN111934788A (en) | Radio frequency index testing method and system of head-mounted equipment and related components | |
| JP2975376B2 (en) | Signal measuring apparatus and method | |
| US7065466B2 (en) | Attenuator test system | |
| US20180048535A1 (en) | Network analyzer systems and methods for operating a network analyzer | |
| CN109902001B (en) | Method for detecting uninitialized variable and terminal equipment | |
| CN108574541B (en) | Antenna performance testing device, method and system | |
| CN104835435A (en) | Test method and device for liquid crystal module | |
| CN112578214B (en) | Power amplifier test method, device and system and electronic equipment | |
| KR101845483B1 (en) | Tester for automaticaliy controlling of test device | |
| CN113037583B (en) | Test apparatus, method and readable storage medium | |
| CN110059326B (en) | Simulation method and simulation system for debugging microwave device | |
| CN104914307A (en) | Frequency spectrograph and multi-parameter parallel frequency-sweeping frequency spectrum measurement method thereof | |
| CN111352780A (en) | Method and device for determining state of path and readable storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200508 |