CN113074765A - Parameter debugging method and system for bridge sensor - Google Patents
Parameter debugging method and system for bridge sensor Download PDFInfo
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- CN113074765A CN113074765A CN202010004613.8A CN202010004613A CN113074765A CN 113074765 A CN113074765 A CN 113074765A CN 202010004613 A CN202010004613 A CN 202010004613A CN 113074765 A CN113074765 A CN 113074765A
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Abstract
The embodiment of the invention provides a method and a system for debugging parameters of a bridge sensor, which are characterized in that test data of the bridge sensor to be debugged are obtained, information of a test item to be debugged is generated according to the test data and information of the test item to be debugged corresponding to the bridge sensor to be debugged, then a parameter path of a parameter sequence of the debugged test item in the bridge sensor is determined according to the information of the test item to be debugged, and a parameter path of the parameter sequence of the test item to be debugged in the bridge sensor is determined according to the information of the test item to be debugged, so that debugging parameters of the bridge sensor are generated according to the parameter path of the test item to be debugged in the bridge sensor and the parameter path of the test item to be debugged in the bridge sensor. Therefore, the debugging condition of each test item is considered to be distinguished according to the test data, so that the efficiency of the test process is improved, and the time cost of the bridge type sensor is reduced.
Description
Technical Field
The invention relates to the technical field of sensors, in particular to a parameter debugging method and system of a bridge type sensor.
Background
At present, in the process of testing the bridge sensor, all test items are generally debugged, and the debugging condition of each test item is not considered to be distinguished according to test data, so that the efficiency of the test process is low, and the time cost of the bridge sensor is increased.
Disclosure of Invention
In view of this, an object of the embodiments of the present invention is to provide a method and a system for debugging parameters of a bridge sensor, which consider that a debugging condition of each test item is distinguished according to test data, so as to improve efficiency of a test process and reduce time cost for the bridge sensor.
According to an aspect of the embodiments of the present invention, there is provided a method for debugging parameters of a bridge sensor, applied to a debugging device, the method including:
acquiring test data of a bridge sensor to be debugged;
generating information of a test item to be debugged according to the test data and information of the test item to be debugged corresponding to the bridge sensor, wherein the information of the test item to be debugged comprises a parameter sequence of the test item to be debugged and a corresponding parameter path, and the information of the test item to be debugged comprises a parameter sequence of the test item to be debugged and a corresponding parameter path;
determining a parameter path of a debugged test item parameter sequence in a bridge sensor according to the information of the debugged test item, and determining a parameter path of a to-be-debugged test item parameter sequence in the bridge sensor according to the information of the to-be-debugged test item;
and generating debugging parameters of the bridge sensor according to the parameter path of the tested item parameter sequence in the bridge sensor and the parameter path of the tested item parameter sequence to be debugged in the bridge sensor.
In a possible example, the step of generating information of the test item to be debugged according to the test data and the information of the debugged test item corresponding to the bridge sensor to be debugged includes:
extracting test parameters of the test data to obtain a test parameter sequence;
extracting test parameters of the information of the tested test item to obtain test item characteristics of the tested test item;
and inputting the test parameter sequence and the test item characteristics of the tested test item into a pre-trained debugging model to obtain the information of the test item to be debugged.
In a possible example, the step of generating information of the test item to be debugged according to the test data and information of the debugged test item corresponding to the bridge sensor to be debugged further includes:
and inputting the test parameter sequence into the debugging model to obtain the information of the test item to be debugged, which is output by the debugging model at this time, until the debugging model outputs the information of the last test item.
In a possible example, the step of generating information of the test item to be debugged according to the test data and information of the debugged test item corresponding to the bridge sensor to be debugged further includes:
acquiring sample test data of a target bridge type sensor for adjusting parameters and training test items corresponding to the target bridge type sensor;
generating information of each training test item according to the parameter path of each training test item in the target bridge sensor and the parameter sequence of each training test item;
test item feature sequences extracted from the information of each training test item are arranged to obtain a training sequence; the method comprises the steps that test item features extracted from information of a preset starting test item are located at the front end of a training sequence, and test item features extracted from information of a preset ending test item are located at the tail end of the training sequence;
and training the debugging model according to a test parameter sequence extracted from the sample test data and the characteristics of each test item in the training sequence so as to learn to obtain the corresponding relation between the test parameter sequence and the combination of the characteristics of the test items in the training sequence and the information of the training test items.
In a possible example, the step of performing test parameter extraction on the test data to obtain a test parameter sequence includes:
generating a node parameter expression sequence according to each test item node in the test data, wherein the test items in the node parameter expression sequence are used for indicating parameter values of corresponding test item nodes in the test data;
and extracting test parameters of the node parameter expression sequence to obtain the test parameter sequence.
According to another aspect of the embodiments of the present invention, there is provided a parameter debugging system for a bridge sensor, applied to a debugging device, the system including:
the acquisition module is used for acquiring test data of the bridge sensor to be debugged;
the first generation module is used for generating information of a test item to be debugged according to the test data and information of a debugged test item corresponding to the bridge sensor to be debugged, wherein the information of the debugged test item comprises a debugged test item parameter sequence and a corresponding parameter path, and the information of the test item to be debugged comprises a test item parameter sequence to be debugged and a corresponding parameter path;
the determining module is used for determining the parameter path of the parameter sequence of the debugged test item in the bridge sensor according to the information of the debugged test item, and determining the parameter path of the parameter sequence of the test item to be debugged in the bridge sensor according to the information of the test item to be debugged;
and the second generation module is used for generating debugging parameters of the bridge sensor according to the parameter path of the tested item parameter sequence in the bridge sensor and the parameter path of the tested item parameter sequence to be debugged in the bridge sensor.
According to another aspect of the embodiments of the present invention, a readable storage medium is provided, and the readable storage medium stores a computer program, and the computer program is executed by a processor, and the computer program can perform the steps of the parameter debugging method for a bridge sensor.
Compared with the prior art, the method and the system for debugging the parameters of the bridge sensor provided by the embodiment of the invention generate the information of the test item to be debugged by acquiring the test data of the bridge sensor to be debugged, according to the test data and the information of the test item to be debugged corresponding to the bridge sensor to be debugged, then determine the parameter path of the parameter sequence of the debugged test item in the bridge sensor according to the information of the test item to be debugged, and determine the parameter path of the parameter sequence of the test item to be debugged in the bridge sensor according to the information of the test item to be debugged, so that the debugging parameters of the bridge sensor are generated according to the parameter path of the parameter sequence of the test item to be debugged in the bridge sensor and the parameter path of the test item to be debugged in the bridge sensor. Therefore, the debugging condition of each test item is considered to be distinguished according to the test data, so that the efficiency of the test process is improved, and the time cost of the bridge type sensor is reduced.
In order to make the aforementioned objects, features and advantages of the embodiments of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 shows a component schematic diagram of a debugging device provided by an embodiment of the present invention;
FIG. 2 is a flow chart illustrating a parameter tuning method of a bridge sensor according to an embodiment of the present invention;
fig. 3 shows a functional block diagram of a parameter debugging system of a bridge sensor provided in an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood by the scholars in the technical field, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, not all of the 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 invention.
The terms "first," "second," "third," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Fig. 1 shows an exemplary component schematic of a commissioning device 100. The debugging device 100 may include one or more processors 104, such as one or more Central Processing Units (CPUs), each of which may implement one or more hardware threads. The commissioning device 100 may also include any storage medium 106 for storing any kind of information such as code, settings, data, etc. For example, and without limitation, storage medium 106 may include any one or more of the following in combination: any type of RAM, any type of ROM, flash memory devices, hard disks, optical disks, etc. More generally, any storage medium may use any technology to store information. Further, any storage medium may provide volatile or non-volatile retention of information. Further, any storage medium may represent fixed or removable components of the commissioning device 100. In one case, when processor 104 executes associated instructions stored in any storage medium or combination of storage media, debug device 100 may perform any of the operations of the associated instructions. The commissioning device 100 further comprises one or more drive units 108 for interacting with any storage medium, such as a hard disk drive unit, an optical disk drive unit, etc.
The commissioning device 100 further comprises an input/output 110(I/O) for receiving various inputs (via an input unit 112) and for providing various outputs (via an output unit 114)). One particular output mechanism may include a presentation device 116 and an associated Graphical User Interface (GUI) 118. The commissioning device 100 may also include one or more network interfaces 120 for exchanging data with other devices via one or more communication units 122. One or more communication buses 124 couple the above-described components together.
The communication unit 122 may be implemented in any manner, such as over a local area network, a wide area network (e.g., the internet), a point-to-point connection, etc., or any combination thereof. Communication unit 122 may include any combination of hardwired links, wireless links, routers, gateway functions, name commissioning device 100, and the like, governed by any protocol or combination of protocols.
Fig. 2 is a flowchart illustrating a parameter tuning method of a bridge sensor according to an embodiment of the present invention, where the parameter tuning method of the bridge sensor can be executed by the tuning apparatus 100 shown in fig. 1, and the detailed steps of the parameter tuning method of the bridge sensor are described below.
Step S110, obtaining test data of the bridge sensor to be debugged.
Step S120, generating information of a test item to be debugged according to the test data and information of the test item to be debugged corresponding to the bridge sensor to be debugged, wherein the information of the test item to be debugged comprises a parameter sequence of the test item to be debugged and a corresponding parameter path, and the information of the test item to be debugged comprises a parameter sequence of the test item to be debugged and a corresponding parameter path.
Step S130, determining the parameter path of the parameter sequence of the debugged test item in the bridge sensor according to the information of the debugged test item, and determining the parameter path of the parameter sequence of the test item to be debugged in the bridge sensor according to the information of the test item to be debugged.
Step S140, generating debugging parameters of the bridge sensor according to the parameter path of the tested item parameter sequence in the bridge sensor and the parameter path of the tested item parameter sequence to be debugged in the bridge sensor.
Based on the above steps, in this embodiment, test data of the bridge sensor to be debugged is acquired, information of the test item to be debugged is generated according to the test data and information of the debugged test item corresponding to the bridge sensor to be debugged, then a parameter path of the parameter sequence of the debugged test item in the bridge sensor is determined according to the information of the test item to be debugged, and a parameter path of the parameter sequence of the test item to be debugged in the bridge sensor is determined according to the information of the test item to be debugged, so that a debugging parameter of the bridge sensor is generated according to the parameter path of the parameter sequence of the debugged test item in the bridge sensor and the parameter path of the parameter sequence of the test item to be debugged in the bridge. Therefore, the debugging condition of each test item is considered to be distinguished according to the test data, so that the efficiency of the test process is improved, and the time cost of the bridge type sensor is reduced.
In a possible example, for step S120, in this embodiment, test parameter extraction may be performed on the test data to obtain a test parameter sequence, then test parameter extraction is performed on the information of the tested test item to obtain a test item feature of the tested test item, and then the test parameter sequence and the test item feature of the tested test item are input into a pre-trained debugging model to obtain the information of the test item to be debugged.
In a possible example, for step S120, in this embodiment, the test item feature obtained by performing test parameter extraction on the information of the test item to be debugged output this time by the debugging model is obtained, and the test parameter sequence is input into the debugging model to obtain the information of the test item to be debugged output this time by the debugging model until the information of the last test item is output by the debugging model.
In a possible example, for step S120, in this embodiment, sample test data of a target bridge sensor used for adjusting parameters and training test items corresponding to the target bridge sensor may be obtained, then information of each training test item is generated according to a parameter path of each training test item in the target bridge sensor and a parameter sequence of each training test item, and a training sequence is obtained by sequentially arranging test item features extracted from the information of each training test item. The test item features extracted from the information of the preset initial test item are located at the front end of the training sequence, and the test item features extracted from the information of the preset ending test item are located at the tail end of the training sequence.
On the basis, the debugging model can be trained according to a test parameter sequence extracted from the sample test data and the characteristics of each test item in the training sequence, so that the corresponding relation between the test parameter sequence, the combination of the characteristics of the test items in the training sequence and the information of the training test items can be obtained through learning.
In a possible example, for step S120, the present embodiment may generate a node parameter expression sequence according to each test item node in the test data, where a test item in the node parameter expression sequence is used to indicate a parameter value of a corresponding test item node in the test data. And then, extracting test parameters of the node parameter expression sequence to obtain the test parameter sequence.
Fig. 3 shows a functional block diagram of a parameter debugging system 200 of a bridge sensor according to an embodiment of the present invention, where the functions implemented by the parameter debugging system 200 of the bridge sensor may correspond to the steps executed by the above method. The parameter debugging system 200 of the bridge sensor may be understood as the debugging device 100 or the processor of the debugging device 100, or may be understood as a component that is independent from the debugging device 100 or the processor and implements the functions of the present invention under the control of the debugging device 100, as shown in fig. 3, and the functions of the functional modules of the parameter debugging system 200 of the bridge sensor are described in detail below.
The obtaining module 210 is configured to obtain test data of a bridge sensor to be debugged.
The first generating module 220 is configured to generate information of a test item to be debugged according to the test data and information of a test item to be debugged corresponding to the bridge sensor to be debugged, where the information of the test item to be debugged includes a parameter sequence of the test item to be debugged and a corresponding parameter path, and the information of the test item to be debugged includes a parameter sequence of the test item to be debugged and a corresponding parameter path.
The determining module 230 is configured to determine a parameter path of the parameter sequence of the debugged test item in the bridge sensor according to the information of the test item to be debugged, and determine a parameter path of the parameter sequence of the test item to be debugged in the bridge sensor according to the information of the test item to be debugged.
The second generating module 240 is configured to generate the debugging parameters of the bridge sensor according to the parameter path of the tested test item parameter sequence in the bridge sensor and the parameter path of the test item parameter sequence to be debugged in the bridge sensor.
In one possible example, the first generation module 210 generates the information of the test item to be debugged by:
and extracting test parameters of the test data to obtain a test parameter sequence.
And extracting test parameters of the information of the tested test item to obtain the test item characteristics of the tested test item.
And inputting the test parameter sequence and the test item characteristics of the tested test item into a pre-trained debugging model to obtain the information of the test item to be debugged.
In one possible example, the first generating module 210 is further configured to:
and inputting the test parameter sequence into the debugging model to obtain the information of the test item to be debugged, which is output by the debugging model at this time, until the debugging model outputs the information of the last test item.
In one possible example, the first generating module 210 is further configured to:
and acquiring sample test data of a target bridge sensor for adjusting parameters and training test items corresponding to the target bridge sensor.
And generating the information of each training test item according to the parameter path of each training test item in the target bridge sensor and the parameter sequence of each training test item.
And (4) sequentially arranging the test item features extracted from the information of each training test item to obtain a training sequence. The test item features extracted from the information of the preset initial test item are located at the front end of the training sequence, and the test item features extracted from the information of the preset ending test item are located at the tail end of the training sequence.
And training the debugging model according to a test parameter sequence extracted from the sample test data and the characteristics of each test item in the training sequence so as to learn to obtain the corresponding relation between the test parameter sequence and the combination of the characteristics of the test items in the training sequence and the information of the training test items.
In a possible example, the first generating module 210 performs test parameter extraction on the test data to obtain a test parameter sequence by:
and generating a node parameter expression sequence according to each test item node in the test data, wherein the test items in the node parameter expression sequence are used for indicating the parameter values of the corresponding test item nodes in the test data.
And extracting test parameters of the node parameter expression sequence to obtain the test parameter sequence.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus and method embodiments described above are illustrative only, as the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
Alternatively, all or part of the implementation may be in software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website site, computer, commissioning device, or data center to another website site, computer, commissioning device, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device, such as a debugging device, a data center, etc., that is integrated with one or more available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It should be noted that, in this document, 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.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any drawing credit or debit acknowledgement in the claims should not be construed as limiting the claim concerned.
Claims (10)
1. A parameter debugging method of a bridge sensor is applied to debugging equipment, and the method comprises the following steps:
acquiring test data of a bridge sensor to be debugged;
generating information of a test item to be debugged according to the test data and information of the test item to be debugged corresponding to the bridge sensor, wherein the information of the test item to be debugged comprises a parameter sequence of the test item to be debugged and a corresponding parameter path, and the information of the test item to be debugged comprises a parameter sequence of the test item to be debugged and a corresponding parameter path;
determining a parameter path of a debugged test item parameter sequence in a bridge sensor according to the information of the debugged test item, and determining a parameter path of a to-be-debugged test item parameter sequence in the bridge sensor according to the information of the to-be-debugged test item;
and generating debugging parameters of the bridge sensor according to the parameter path of the tested item parameter sequence in the bridge sensor and the parameter path of the tested item parameter sequence to be debugged in the bridge sensor.
2. The method for debugging parameters of a bridge sensor according to claim 1, wherein the step of generating information of the test item to be debugged according to the test data and the information of the test item to be debugged corresponding to the bridge sensor to be debugged comprises:
extracting test parameters of the test data to obtain a test parameter sequence;
extracting test parameters of the information of the tested test item to obtain test item characteristics of the tested test item;
and inputting the test parameter sequence and the test item characteristics of the tested test item into a pre-trained debugging model to obtain the information of the test item to be debugged.
3. The method for debugging parameters of a bridge sensor according to claim 2, wherein the step of generating information of the test item to be debugged according to the test data and the information of the test item to be debugged corresponding to the bridge sensor further comprises:
and inputting the test parameter sequence into the debugging model to obtain the information of the test item to be debugged, which is output by the debugging model at this time, until the debugging model outputs the information of the last test item.
4. The method for debugging parameters of a bridge sensor according to claim 3, wherein the step of generating information of the test item to be debugged according to the test data and the information of the test item to be debugged corresponding to the bridge sensor further comprises:
acquiring sample test data of a target bridge type sensor for adjusting parameters and training test items corresponding to the target bridge type sensor;
generating information of each training test item according to the parameter path of each training test item in the target bridge sensor and the parameter sequence of each training test item;
test item feature sequences extracted from the information of each training test item are arranged to obtain a training sequence; the method comprises the steps that test item features extracted from information of a preset starting test item are located at the front end of a training sequence, and test item features extracted from information of a preset ending test item are located at the tail end of the training sequence;
and training the debugging model according to a test parameter sequence extracted from the sample test data and the characteristics of each test item in the training sequence so as to learn to obtain the corresponding relation between the test parameter sequence and the combination of the characteristics of the test items in the training sequence and the information of the training test items.
5. The method for debugging parameters of a bridge sensor according to claim 1, wherein said step of extracting test parameters according to said test data to obtain a test parameter sequence comprises:
generating a node parameter expression sequence according to each test item node in the test data, wherein the test items in the node parameter expression sequence are used for indicating parameter values of corresponding test item nodes in the test data;
and extracting test parameters of the node parameter expression sequence to obtain the test parameter sequence.
6. A parameter debugging system of a bridge sensor is applied to debugging equipment, and the system comprises:
the acquisition module is used for acquiring test data of the bridge sensor to be debugged;
the first generation module is used for generating information of a test item to be debugged according to the test data and information of a debugged test item corresponding to the bridge sensor to be debugged, wherein the information of the debugged test item comprises a debugged test item parameter sequence and a corresponding parameter path, and the information of the test item to be debugged comprises a test item parameter sequence to be debugged and a corresponding parameter path;
the determining module is used for determining the parameter path of the parameter sequence of the debugged test item in the bridge sensor according to the information of the debugged test item, and determining the parameter path of the parameter sequence of the test item to be debugged in the bridge sensor according to the information of the test item to be debugged;
and the second generation module is used for generating debugging parameters of the bridge sensor according to the parameter path of the tested item parameter sequence in the bridge sensor and the parameter path of the tested item parameter sequence to be debugged in the bridge sensor.
7. The system for debugging parameters of a bridge sensor according to claim 6, wherein said first generation module generates information of a test item to be debugged by:
extracting test parameters of the test data to obtain a test parameter sequence;
extracting test parameters of the information of the tested test item to obtain test item characteristics of the tested test item;
and inputting the test parameter sequence and the test item characteristics of the tested test item into a pre-trained debugging model to obtain the information of the test item to be debugged.
8. The system for debugging parameters of a bridge sensor according to claim 7, wherein said first generating module is further configured to:
and inputting the test parameter sequence into the debugging model to obtain the information of the test item to be debugged, which is output by the debugging model at this time, until the debugging model outputs the information of the last test item.
9. The system for debugging parameters of a bridge sensor according to claim 8, wherein said first generating module is further configured to:
acquiring sample test data of a target bridge type sensor for adjusting parameters and training test items corresponding to the target bridge type sensor;
generating information of each training test item according to the parameter path of each training test item in the target bridge sensor and the parameter sequence of each training test item;
test item feature sequences extracted from the information of each training test item are arranged to obtain a training sequence; the method comprises the steps that test item features extracted from information of a preset starting test item are located at the front end of a training sequence, and test item features extracted from information of a preset ending test item are located at the tail end of the training sequence;
and training the debugging model according to a test parameter sequence extracted from the sample test data and the characteristics of each test item in the training sequence so as to learn to obtain the corresponding relation between the test parameter sequence and the combination of the characteristics of the test items in the training sequence and the information of the training test items.
10. The system for debugging parameters of a bridge sensor according to claim 6, wherein said first generation module performs test parameter extraction on said test data to obtain a test parameter sequence by:
generating a node parameter expression sequence according to each test item node in the test data, wherein the test items in the node parameter expression sequence are used for indicating parameter values of corresponding test item nodes in the test data;
and extracting test parameters of the node parameter expression sequence to obtain the test parameter sequence.
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