WO2022068105A1

WO2022068105A1 - Non-standard device testing system and method, and storage medium

Info

Publication number: WO2022068105A1
Application number: PCT/CN2020/140054
Authority: WO
Inventors: 贺毅; 左志军; 陈旻琪; 姚维兵; 王斌
Original assignee: 广州明珞装备股份有限公司
Priority date: 2020-09-30
Filing date: 2020-12-28
Publication date: 2022-04-07
Also published as: CN112346787B; CN112346787A

Abstract

A non-standard device testing system and method, and a storage medium. The non-standard device testing system comprises a data interface module, an interface configuration module, a first testing module, and a second testing module; the data interface module is used for connecting a non-standard device, the interface configuration module is used for configuring a testing protocol and communication parameters of the data interface module, the first testing module is used for performing first-level testing on working parameters, and the second testing module is used for performing second-level testing on the result of the first-level testing. The non-standard device testing system can configure, according to the non-standard device, the testing protocol and the communication parameters required by the testing, and can be adapted to different non-standard devices, so that large-scale automatic testing for the non-standard devices becomes possible, the degree of dependence on manual testing in the testing process is reduced, the error rate is reduced, and the efficiency is improved; the present invention is widely applied to the technical field of device testing.

Description

Non-standard equipment testing system, method and storage medium

technical field

The invention relates to the technical field of equipment testing, in particular to a non-standard equipment testing system, method and storage medium.

Background technique

Non-standard equipment is user-customized, user-only, and non-market-circulated automation system integration equipment. It is assembled from unit equipment manufactured in accordance with the unified industry standards and specifications promulgated by the state. It is developed and designed according to the needs of customers. Manufactured equipment, different types of customers have different process requirements. Like other industrial equipment, non-standard equipment also needs to go through the testing process in the process of production, assembly, debugging and maintenance. Because there is no uniform standard for non-standard equipment, general test equipment is difficult to adapt to various non-standard equipment, and it is difficult to obtain satisfactory test results when applied to the test of each non-standard equipment. Therefore, the existing technology relies on manual labor to a large extent. testing, resulting in high error rates and inefficiencies.

SUMMARY OF THE INVENTION

In view of the above technical problems, the purpose of the present invention is to provide a non-standard equipment testing system, method and storage medium.

On the one hand, the embodiment of the present invention includes a non-standard equipment testing system, including:

a data interface module for connecting the non-standard equipment;

an interface configuration module, configured to configure the test protocol and communication parameters of the data interface module according to the non-standard device connected to the data interface module;

a first test module, configured to collect the working parameters of the non-standard equipment through the data interface module, and perform a first-level test on the working parameters;

A second test module, configured to acquire the result of the first-level test from the first test module, and perform a second-level test on the result of the first-level test.

Further, configuring the test protocol and communication parameters of the data interface module according to the non-standard device connected to the data interface module specifically includes:

Determine the process parameters of the non-standard equipment;

sending the process parameters to the cloud; the cloud generates a configuration instruction according to the process parameters;

receiving a configuration instruction generated and fed back by the cloud according to the process parameter;

According to the configuration instruction, configure the test protocol and communication parameters of the data interface module.

Further, the first-level test includes at least one of data classification and storage, action cycle cycle splicing, cycle cycle number calculation, equipment start-up rate calculation, equipment utilization measurement, equipment failure collection and equipment failure cause analysis; The second-level test includes equipment predictive model establishment, equipment predictive model analysis, horizontal comparison of production line equipment, production line balance analysis, capacity efficiency analysis, human-machine collaborative input, human-machine collaborative analysis, and self-learning model establishment. and at least one of self-learning model training.

Further, the non-standard equipment testing system further includes a remote database, the remote database is set in the cloud, and the remote database is used to store the results of the first-level test and the results of the second-level test.

Further, the second test module is set in the cloud.

Further, the non-standard equipment testing system further includes a cloud communication module; the cloud communication module is used to establish a connection between the first test module, the second test module and the remote database.

Further, the remote database is also used for storing training samples; the training samples are used for invocation and training of the predictive model and the self-learning model run by the second test module.

Further, the second test module runs the predictive model and the self-learning model to call the training samples for training, including:

Train predictive and self-learning models using initially screened training samples from remote databases;

Analyze the main influencing factors that affect the output of predictive models and self-learning models;

Determine the weights and related factors of the main influencing factors;

Through the input of more training samples, the weights and related factors of the main influencing factors are gradually closer to reality.

Further, the non-standard equipment testing system further includes a report output module; the report output module is used to obtain the result of the first-level test and the result of the second-level test, according to the results of the first-level test. The results and the results of the second level test generate and output a test report.

On the other hand, the embodiment of the present invention also includes a non-standard equipment testing method, comprising the following steps:

According to the non-standard equipment to be tested, configure the test protocol and communication parameters;

Collect the working parameters of the non-standard equipment, and perform a first-level test and a second-level test on the working parameters; the first-level test includes data classification and storage, action cycle splicing, cycle number calculation, equipment At least one of operating rate estimation, equipment utilization rate estimation, equipment failure collection, and equipment failure cause analysis; the second-level test includes equipment predictive model establishment, equipment predictive model analysis, production line-level equipment horizontal comparison, production At least one of line balance analysis, capacity efficiency analysis, human-machine collaborative input, human-machine collaborative analysis, self-learning model establishment and self-learning model training.

On the other hand, an embodiment of the present invention further includes a storage medium, in which processor-executable instructions are stored, and when executed by the processor, the processor-executable instructions are used to perform the method of the embodiment.

The beneficial effects of the present invention are: the non-standard equipment testing system in the embodiment of the present invention can configure the test protocol and communication parameters required for the test according to the non-standard equipment, and can adapt to different non-standard equipment, so that the Large-scale automated testing becomes possible, reducing the dependence on manual testing in the testing process, reducing error rates and improving efficiency.

Description of drawings

FIG. 1 is a schematic structural diagram of a non-standard equipment testing system in an embodiment.

Detailed ways

1, in the embodiment of the present invention, the non-standard equipment testing system includes a data interface module, an interface configuration module, a first test module, a second test module, a cloud communication module, a remote database and a report output module. In the embodiment of the present invention, the non-standard equipment testing system includes two parts: a local end and a cloud, wherein the local end includes a data interface module, an interface configuration module, a first test module and a cloud communication module, a data interface module, an interface configuration module, a first test module and a cloud communication module. A test module and cloud communication module form a whole by being installed on the same chassis or rack, and the cloud includes a second test module, a remote database and a report output module. The local end can be set in places such as production lines, test workshops or maintenance workshops, that is, near the non-standard equipment to be tested, so that the local end can be directly connected to the non-standard equipment to be tested through cables or wireless communication interfaces; the cloud can be set in the computer room, etc. Places, the local end and the cloud are connected through the Internet or a dedicated network. In the embodiment of the present invention, the cloud may further be provided with a server with data processing capability.

In the embodiment of the present invention, when using the non-standard equipment testing system to test the non-standard equipment, it can be carried out according to the following process:

The first step is to connect the data interface module to non-standard equipment through standard cables;

The second step is to start the non-standard equipment, specifically, to start the power sources such as the power supply and the gas source on the non-standard equipment;

The third step is to configure the data interface module by the interface configuration module. Specifically, the interface configuration module reads the firmware information of the non-standard device, or receives the hardware information manually input through the human-computer interaction device, and then looks up the table and other methods. Determine the process parameters of non-standard equipment, including the working parameters and maintenance parameters of non-standard equipment;

In the fourth step, the interface configuration module sends the process parameters to the cloud; the cloud executes the computer program to generate configuration instructions according to the process parameters, or the cloud displays the process parameters to the staff, and the staff reads the process parameters and edits the configuration instructions according to professional knowledge. The configuration instruction is input to the cloud, and the cloud feeds the configuration instruction to the interface configuration module; in the embodiment of the present invention, the configuration instruction exists in the format of an XML file, and the configuration instruction includes contents such as IP address, communication rate, and check code;

The fifth step, the interface configuration module configures the test protocol and communication parameters of the data interface module according to the configuration instructions, wherein the test protocol includes Ethernet IP, Profinet and Modbus, etc., and the communication parameters include IP address, port number, communication rate and check code, etc. ;

The sixth step, after the test protocol and communication parameters of the data interface module are configured, the data interface module can establish communication with the non-standard equipment, so that the first test module can collect the working parameters of the non-standard equipment through the data interface module, and the working parameters Carry out the first-level test; in the embodiment of the present invention, the first-level test refers to the preliminary screening and analysis of working parameters, including data classification and storage, action cycle cycle splicing, cycle cycle number calculation, equipment start-up rate calculation, At least one of equipment utilization measurement, equipment failure collection and equipment failure cause analysis; the first test module collects the results of the first-level test through the cloud communication module and sends it to the second test module;

In the seventh step, the second test module obtains the result of the first-level test, and performs the second-level test on the result of the first-level test; in the embodiment of the present invention, the second-level test includes equipment predictive model establishment, equipment predictive At least one of model analysis, horizontal comparison of production line-level equipment, production line balance analysis, capacity efficiency analysis, human-machine collaborative input, human-machine collaborative analysis, self-learning model establishment and self-learning model training;

The eighth step, the result of the first level test performed by the first test module and the result of the second level test performed by the second test module are stored in the remote database;

The ninth step, the report output module reads the results of the first-level test and the second-level test results from the remote database, and generates and outputs a test report; specifically, the report output module can be based on the results of the first-level test and the second-level test. The test results are generated into doc or pdf and other types of files, which are then printed out by the printer or displayed on the display screen, so that the staff can visually see the test results and judge whether the tested non-standard equipment conforms to the factory, put into production or resumed production, etc. requirements.

In the embodiment of the present invention, when the second test module performs the second-level test, if it performs predictive model establishment, equipment predictive model analysis, self-learning model establishment, and self-learning model training, etc., the predictive model and For the self-learning model, the training samples used for the training of the predictive model and the self-learning model can be stored in the remote database in advance. In the embodiment of the present invention, the predictive model and the self-learning model are process-based mathematical models, and the predictive model and the self-learning model are trained by using the training samples that have been preliminarily screened from the remote database, and the influence of the predictive model is analyzed. and the main influencing factors of the output results of the self-learning model, and determine its weights and related factors. Through the input of more training samples, these weights and influencing factors are gradually closer to reality, so as to achieve the training purpose, which can be used in further optimization. Reorganize the predictive model and self-learning model structure to optimize the predictive model and self-learning model.

The non-standard equipment testing system in the embodiment of the present invention can configure the test protocol and communication parameters required for the test according to the non-standard equipment, and can adapt to different non-standard equipment, making it possible to perform large-scale automated testing of the non-standard equipment. , reduce the dependence on manual testing in the testing process, reduce the error rate and improve efficiency.

In the embodiment of the present invention, the non-standard equipment testing system is divided into the primary first-level test and the advanced second-level test, and the first-level test is performed by the local end, reducing the computing power of the local end Requirements, reduce the hardware complexity of the local end, and the second-level test is performed by the cloud with higher computing power, which can ensure good test results.

In the embodiment of the present invention, the non-standard equipment testing method comprises the following steps:

S1. According to the non-standard equipment to be tested, configure the test protocol and communication parameters;

S2. Collect working parameters of the non-standard equipment, and perform a first-level test and a second-level test on the working parameters.

In the embodiment of the present invention, the first-level test includes at least one of data classification and storage, action cycle splicing, cycle number calculation, equipment start-up rate calculation, equipment utilization rate calculation, equipment failure collection, and equipment failure cause analysis. kind. The second level test includes equipment predictive model establishment, equipment predictive model analysis, horizontal comparison of production line equipment, production line balance analysis, capacity efficiency analysis, human-machine collaborative input, human-machine collaborative analysis, self-learning model establishment and self- Learn at least one of model training.

Based on the same principle as the non-standard device testing system in the embodiment of the present invention, by executing the non-standard device testing method in the embodiment of the present invention, the same as the non-standard device testing system in the embodiment of the present invention can be obtained The technical effects include: being able to configure the test protocol and communication parameters required for testing according to non-standard equipment, being able to adapt to different non-standard equipment, enabling large-scale automated testing of non-standard equipment, and reducing the need for manual testing in the testing process. The degree of dependence, reduce the error rate and improve the efficiency; the test of the non-standard equipment is divided into the primary first-level test and the advanced second-level test, the first-level test is performed by the local side, reducing the computing power requirements on the local side , reduce the hardware complexity of the local end, and the second-level test is performed by the cloud with higher computing power, which can ensure good test results.

In this embodiment, a computer device includes a memory and a processor, where the memory is configured to store at least one program, and the processor is configured to load the at least one program to execute the non-standard device testing method in the embodiment, and realize The same technical effect as described in the embodiment.

In this embodiment, a storage medium stores processor-executable instructions, and when executed by the processor, the processor-executable instructions are used to execute the non-standard device testing method in the embodiment, implementation and implementation The same technical effect as described in the example.

It should be noted that, unless otherwise specified, when a feature is called "fixed" or "connected" to another feature, it can be directly fixed or connected to another feature, or it can be indirectly fixed or connected to another feature. on a feature. In addition, the descriptions such as upper, lower, left, right, etc. used in the present disclosure are only relative to the mutual positional relationship of each component of the present disclosure in the accompanying drawings. As used in this disclosure, the singular forms "a," "the," and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. Also, unless otherwise defined, all technical and scientific terms used in this embodiment have the same meaning as commonly understood by those skilled in the art. The terms used in the description of the embodiments are only for describing specific embodiments, rather than for limiting the present invention. As used in this example, the term "and/or" includes any combination of one or more of the associated listed items.

It will be understood that, although the terms first, second, third, etc. may be used in this disclosure to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish elements of the same type from one another. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of the present disclosure. The use of any and all examples or exemplary language ("for example," "such as," etc.) provided in this embodiment is intended only to better illustrate embodiments of the invention and does not detract from the scope of the invention unless otherwise requested impose restrictions.

It should be appreciated that embodiments of the present invention may be implemented or implemented by computer hardware, a combination of hardware and software, or by computer instructions stored in non-transitory computer readable memory. The methods can be implemented in a computer program using standard programming techniques - including a non-transitory computer-readable storage medium configured with a computer program, wherein the storage medium so configured causes the computer to operate in a specific and predefined manner - according to the specific Methods and figures described in the Examples. Each program may be implemented in a high-level procedural or object-oriented programming language to communicate with a computer system. However, if desired, the program can be implemented in assembly or machine language. In any case, the language can be a compiled or interpreted language. Furthermore, the program can be run on a programmed application specific integrated circuit for this purpose.

Furthermore, the operations of the processes described in this embodiment may be performed in any suitable order unless otherwise indicated by this embodiment or otherwise clearly contradicted by context. The processes described in this embodiment (or variations and/or combinations thereof) may be performed under the control of one or more computer systems configured with executable instructions, and may be executed as code collectively executing on one or more processors (eg, executable instructions, one or more computer programs, or one or more applications), implemented in hardware, or a combination thereof. The computer program includes a plurality of instructions executable by one or more processors.

Further, the methods may be implemented in any type of computing platform operably connected to a suitable, including but not limited to personal computer, minicomputer, mainframe, workstation, network or distributed computing environment, separate or integrated computers platform, or communicate with charged particle tools or other imaging devices, etc. Aspects of the present invention may be implemented in machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into a computing platform, such as a hard disk, optical read and/or write storage medium, RAM, ROM, etc., such that it can be read by a programmable computer, when a storage medium or device is read by a computer, it can be used to configure and operate the computer to perform the processes described herein. Furthermore, the machine-readable code, or portions thereof, may be transmitted over wired or wireless networks. The invention described in this embodiment includes these and other various types of non-transitory computer-readable storage media when such media includes instructions or programs that implement the steps described above in conjunction with a microprocessor or other data processor. The invention also includes the computer itself when programmed according to the methods and techniques described herein.

A computer program can be applied to input data to perform the functions described in this embodiment to transform the input data to generate output data for storage to non-volatile memory. The output information can also be applied to one or more output devices such as a display. In a preferred embodiment of the invention, the transformed data represents physical and tangible objects, including specific visual depictions of physical and tangible objects produced on the display.

The above are only preferred embodiments of the present invention, and the present invention is not limited to the above-mentioned embodiments, as long as it achieves the technical effect of the present invention by the same means, all within the spirit and principle of the present invention, do Any modification, equivalent replacement, improvement, etc., should be included within the protection scope of the present invention. Various modifications and changes can be made to its technical solutions and/or implementations within the protection scope of the present invention.

Claims

A non-standard equipment testing system, characterized in that it includes:

a data interface module for connecting the non-standard equipment;

an interface configuration module, configured to configure the test protocol and communication parameters of the data interface module according to the non-standard device connected to the data interface module;

a first test module, configured to collect the working parameters of the non-standard equipment through the data interface module, and perform a first-level test on the working parameters;

A second test module, configured to acquire the result of the first-level test from the first test module, and perform a second-level test on the result of the first-level test.
The non-standard equipment testing system according to claim 1, wherein the non-standard equipment connected according to the data interface module configures the test protocol and communication parameters of the data interface module, specifically including:

Determine the process parameters of the non-standard equipment;

sending the process parameters to the cloud;

receiving a configuration instruction generated and fed back by the cloud according to the process parameter;

According to the configuration instruction, configure the test protocol and communication parameters of the data interface module.
The non-standard equipment testing system according to claim 1 or 2, wherein the first-level test includes data classification and storage, action cycle splicing, cycle number measurement, equipment start-up rate measurement, and equipment utilization. At least one of estimation, equipment failure collection, and equipment failure cause analysis; the second-level test includes equipment predictive model establishment, equipment predictive model analysis, horizontal comparison of production line-level equipment, production line balance analysis, production capacity efficiency At least one of analysis, human-machine collaborative input, human-machine collaborative analysis, self-learning model establishment and self-learning model training.
The non-standard equipment testing system according to claim 3, wherein the non-standard equipment testing system further comprises a remote database, the remote database is set in the cloud, and the remote database is used to store the first-level test and the results of the second tier test.
The non-standard equipment testing system according to claim 4, wherein the second testing module is set in the cloud.
The non-standard equipment testing system according to claim 5, wherein the non-standard equipment testing system further comprises a cloud communication module; the cloud communication module is used to establish the first test module and the second test The connection between the module and the remote database.
The non-standard equipment testing system according to claim 4, wherein the remote database is further used to store training samples; the training samples are used for predictive models and self-learning for the second testing module to run The model calls train.
The non-standard equipment testing system according to claim 7, wherein the second test module runs a predictive model and a self-learning model to call the training samples for training, comprising:

Train predictive and self-learning models using initially screened training samples from remote databases;

Analyze the main influencing factors that affect the output of predictive models and self-learning models;

Determine the weights and related factors of the main influencing factors;

Through the input of more training samples, the weights and related factors of the main influencing factors are gradually closer to reality.
The non-standard equipment testing system according to claim 1 or 2, wherein the non-standard equipment testing system further comprises a report output module; the report output module is used to obtain the result of the first-level test and all generating and outputting a test report according to the result of the first-level test and the result of the second-level test.
A method for testing non-standard equipment, comprising the following steps:

According to the non-standard equipment to be tested, configure the test protocol and communication parameters;

Collect the working parameters of the non-standard equipment, and perform a first-level test and a second-level test on the working parameters; the first-level test includes data classification and storage, action cycle splicing, cycle number calculation, equipment At least one of operating rate estimation, equipment utilization rate estimation, equipment failure collection, and equipment failure cause analysis; the second-level test includes equipment predictive model establishment, equipment predictive model analysis, production line-level equipment horizontal comparison, production At least one of line balance analysis, capacity efficiency analysis, human-machine collaborative input, human-machine collaborative analysis, self-learning model establishment and self-learning model training.
A storage medium in which processor-executable instructions are stored, wherein the processor-executable instructions, when executed by the processor, are used to perform the method according to claim 10 .