CN116307594A - Analysis method for defective display panel, computer equipment and medium - Google Patents

Abstract

The embodiment of the invention discloses a method for analyzing display panel defects, computer equipment and a medium. In one embodiment, the method applied to the server includes: generating an analysis task parameter data table containing analysis task parameter information according to the analysis task parameter configuration table and the acquired analysis task parameter values; receiving execution time information of an analysis task from a terminal, wherein the execution time information is obtained by the terminal responding to the operation of a first input control of a displayed first interface; creating an analysis task according to the analysis task parameter data table and the execution time information, calling an analysis model to execute the analysis task according to the execution time information at regular time, and storing an analysis result. According to the embodiment, the analysis task of the display panel failure can be executed at regular time according to the analysis requirement of the user through automatic analysis task scheduling, so that the efficiency of the display panel failure analysis and the operation simplicity of the user are improved.

Description

Analysis method for defective display panel, computer equipment and medium

technical field

The invention relates to the technical field of data management. More specifically, it relates to a method for analyzing defective display panels, computer equipment and media.

Background technique

In the display panel manufacturing industry, the impact of various production processes or production equipment may cause defective display panels. Due to the complicated production processes and large quantities, relying on human analysis to locate the cause of defective display panels, the processing efficiency and accuracy are extremely limited. It is difficult to meet the growing production demand.

Contents of the invention

The object of the present invention is to provide a method for analyzing defective display panels, computer equipment and media, so as to solve at least one of the problems in the prior art.

To achieve the above object, the present invention adopts the following technical solutions:

The first aspect of the present invention provides a method for analyzing a defective display panel, the method is applied to a server, and the method includes:

Generate an analysis task parameter data table including analysis task parameter information according to the analysis task parameter configuration table and the obtained analysis task parameter values;

receiving execution time information of the analysis task from the terminal, the execution time information being obtained by the terminal in response to an operation on the first input control of the displayed first interface;

An analysis task is created according to the analysis task parameter data table and the execution time information, an analysis model is called periodically according to the execution time information to execute the analysis task, and an analysis result is stored.

Optionally, the analysis task execution information includes the execution time point and execution frequency of the analysis task.

Optionally, the analysis task parameter information includes at least one of analysis task name, display panel information, defect number, production information, defect cause variable, and defect result variable.

Optionally, after the analysis task is created according to the analysis task parameter data table and the execution time information, the method further includes generating an analysis task creation information table containing analysis task creation information and an analysis task execution sequence information containing Task trigger information table.

Optionally, the analysis task creation information includes at least one of analysis task serial number, creation user information, analysis task name, and execution status information, and the task trigger information table includes analysis task serial number, analysis task execution time point, analysis task At least one of the task execution types.

Optionally, after calling the analysis model to execute the analysis task, the method further includes generating an analysis task execution information table including analysis task execution information.

Optionally, the analysis task execution information table includes at least one of the analysis task name, display panel information, defect number, production information, defect cause variables, defect result variables, and positive and negative sample thresholds.

Optionally, after the analysis result is stored, the method further includes generating a first analysis result information table including analysis result information.

Optionally, after storing the analysis results, the method further includes generating a second analysis result information table including analysis result information of successfully executed analysis tasks.

Optionally, the first analysis result information table and the second analysis result information table respectively include at least one of analysis task number, analysis task execution time point, instance number, analysis task name, and analysis task status.

Optionally, the method also includes:

receiving analysis result query information from the terminal, where the analysis result query information is obtained by the terminal in response to the operation of the second input control on the displayed second interface;

According to the query information of the analysis results, search for information corresponding to the query information of the analysis results from at least one of the analysis task execution information table, the analysis task creation information table, the first analysis result information table, and the second analysis result information table. Analyzing the result information, generating at least one analysis result information item and sending it to the terminal, so that the terminal displays the analysis result information item and the first selection control corresponding to each analysis result information item, and responding to the The operation of the first selection control generates an analysis result details request;

According to the details of the analysis results, request to query the stored analysis results and send the details of the analysis results obtained from the query to the terminal, so that the terminal displays the details of the analysis results, and the details of the analysis results include information about the cause of the defective display panel and score information for each cause information.

Optionally, the method also includes:

Receive mail configuration information from the terminal, the mail configuration information is obtained by the terminal in response to the operation of the first setting control on the displayed third interface, the mail configuration information includes mail publishing time point, mail publishing frequency, display Score information and recipient information of the panel's bad reason information;

Query the stored analysis results according to the email configuration information and send the query analysis result information by email.

The second aspect of the present invention provides a method for analyzing a defective display panel, the method is applied to a terminal, and the method includes:

obtaining execution time information of the analysis task in response to an input operation on the first input control of the displayed first interface;

Send the execution time information of the analysis task to the server, so that the server creates an analysis task according to the analysis task parameter data table containing the analysis task parameter information and the execution time information, and calls the analysis model regularly according to the execution time information Execute the analysis task and store the analysis result, wherein the analysis task parameter data table is generated by the server according to the analysis task parameter configuration table and the acquired analysis task parameter value.

The third aspect of the present invention provides a method for analyzing a defective display panel, including:

The server generates an analysis task parameter data table including analysis task parameter information according to the analysis task parameter configuration table and the obtained analysis task parameter values;

The terminal obtains the execution time information of the analysis task in response to the input operation on the first input control of the displayed first interface and sends it to the server;

The server creates an analysis task according to the analysis task parameter data table and the execution time information, periodically invokes an analysis model to execute the analysis task according to the execution time information, and stores the analysis result.

A fourth aspect of the present invention provides a computer device, including a memory, a processor, and a computer program stored on the memory and operable on the processor, and the processor implements the method provided by the first aspect of the present invention when executing the program Or the method provided by the second aspect of the present invention.

The fifth aspect of the present invention is a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the method provided in the first aspect of the present invention or the method provided in the second aspect of the present invention is realized.

The beneficial effects of the present invention are as follows:

The technical solution of the present invention can perform the display panel failure analysis task regularly according to the user's analysis requirements through automated analysis task scheduling, which improves the efficiency of display panel failure analysis and the user's convenience of operation.

Description of drawings

The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

FIG. 1 shows an exemplary system architecture diagram in which an embodiment of the present invention can be applied.

FIG. 2 shows a schematic flowchart of a method for analyzing a defective display panel provided by an embodiment of the present invention.

FIG. 3 shows another schematic flowchart of a method for analyzing a defective display panel provided by an embodiment of the present invention.

Fig. 4 shows a schematic diagram of an automated analysis task maintenance interface.

Figure 5 shows a schematic diagram of an interface displaying details of analysis results

FIG. 6 shows a schematic flow diagram of the analysis task scheduling and analysis result query process of display panel defects formed in steps S210-S280.

FIG. 7 shows a schematic diagram of an automated email configuration interface.

FIG. 8 shows a schematic diagram of displayed mail content.

FIG. 9 shows a schematic flow chart of mail configuration.

Fig. 10 shows a schematic structural diagram of a computer system implementing the apparatus provided by the embodiment of the present invention.

Detailed ways

In order to illustrate the present invention more clearly, the present invention will be further described below in conjunction with the embodiments and accompanying drawings. Similar parts in the figures are denoted by the same reference numerals. Those skilled in the art should understand that the content specifically described below is illustrative rather than restrictive, and should not limit the protection scope of the present invention.

FIG. 1 shows an exemplary system architecture 100 to which an embodiment of the method for analyzing a defective display panel of the present invention can be applied.

As shown in FIG. 1 , a system architecture 100 may include terminals 101 , 102 , 103 , a network 104 and a server 105 . The network 104 is used as a medium for providing communication links between the terminals 101 , 102 , 103 and the server 105 . Network 104 may include various connection types, such as wires, wireless communication links, or fiber optic cables, among others.

Users can use the terminals 101, 102, 103 to interact with the server 105 through the network 104 to receive or send messages and the like. Various client applications can be installed on the terminals 101, 102, and 103, such as web browser applications, shopping applications, search applications, instant messaging tools, email clients, social platform software, and the like.

The terminals 101, 102, and 103 may be hardware or software. When the terminals 101, 102, and 103 are hardware, they can be various electronic devices with display screens and supporting web page login, including but not limited to smart phones, tablet computers, laptop computers, desktop computers, and the like. When the terminals 101, 102, and 103 are software, they can be installed in the electronic devices listed above. It can be implemented as a plurality of software or software modules (for example, to provide distributed services), or as a single software or software module. No specific limitation is made here.

The server 105 may be a server that provides various services, such as a scheduling server that executes scheduling of analysis tasks that display bad panels, for example, the scheduling server is used to configure, execute, record, and store results for analysis tasks.

The server 105 can be hardware or software. When the server 105 is hardware, it can be implemented as a distributed server cluster composed of multiple servers, or as a single server. When the server is software, it can be implemented as multiple software or software modules (for example, for providing distributed services), or as a single software or software module. No specific limitation is made here.

It should be understood that the numbers of terminals, networks and servers in Fig. 1 are only illustrative. There may be any suitable number of terminals, networks and servers depending on implementation requirements.

As shown in Figure 2, an embodiment of the present invention provides a method for analyzing a defective display panel, including the following steps:

S210. The server generates an analysis task parameter data table including analysis task parameter information according to the analysis task parameter configuration table and the acquired analysis task parameter values.

In a possible implementation manner, the analysis task parameter information includes at least one of analysis task name, display panel information, defect number, production information, defect cause variable, and defect result variable.

In a specific example, for example, the analysis task parameter configuration table includes a plurality of parameter variables, and the parameter values of each parameter variable are input by the user, for example, after the user logs in to the configuration interface through the input device on the server side or the terminal, the user enters the input, and the analysis task input by the user The parameter value represents the user's analysis requirements for display panel defects, and thus, the server can perform timing scheduling of automatic analysis tasks in response to parameters such as defect cause variables and defect result variables representing user analysis requirements.

Exemplarily, the analysis task parameter data table including the analysis task parameter information may be called twyield.auto_job_analysis_parameters, and the fields contained therein and the meanings of the fields are shown in Table 1, for example.

Table 1

For example, in the analysis task parameter data table in Table 1, if the parameter value of the bad cause variable is not entered into a specific site, it means that all sites are analyzed for bad display panels; if the user only wants to analyze a single site, the bad cause variable format can be set as For example: TRACKING_GLASS; 193V-00_Gate CVD Repair; if the user wants to analyze multiple sites, they can use commas to separate them, and the bad cause variable format can be set as, for example: TRACKING_GLASS; C100-00_PI, TRACKING_GLASS; C200-00_Rubbing Process-ADS, TRACKING_GLASS; C300-00_ODF Process.

S220. The terminal obtains the execution time information of the analysis task in response to an input operation on the first input control of the displayed first interface, and sends the information to the server.

In a possible implementation manner, the analysis task execution information includes the execution time point and execution frequency of the analysis task.

For example, the execution time of the analysis task entered by the user on the first interface displayed on the terminal is 08:00, and the execution frequency is 24, that is, the analysis task is executed every 24 hours.

S230. The server creates an analysis task according to the analysis task parameter data table and the execution time information, periodically invokes an analysis model to execute the analysis task according to the execution time information, and stores an analysis result.

In a possible implementation manner, after the analysis task is created according to the analysis task parameter data table and the execution time information, the method further includes generating an analysis task creation information table containing analysis task creation information and an analysis task creation information table containing analysis task The analysis task of execution sequence information triggers the information table.

In a possible implementation manner, the analysis task creation information includes at least one of analysis task serial number, creation user information, analysis task name, and execution status information, and the task trigger information table includes analysis task serial number, analysis task At least one of execution time point and analysis task execution type.

In a specific example, the analysis task creation information table containing the analysis task creation information may be called twyield.edm_job, and the analysis task trigger information table including the analysis task execution sequence information may be called twyield.edm_job_trigger, and the server may be called twyield.edm_job_trigger according to the analysis in Table 1, for example The analysis task parameter information in the task parameter data table creates a scheduled analysis task, writes the analysis task to be executed into the analysis task creation information table, and writes the analysis task execution order and time interval information into the analysis task trigger information In the table, the fields contained in the analysis task creation information table and their meanings are shown in Table 2, and the fields contained in the analysis task trigger information table and their meanings are shown in Table 3, for example:

Table 2

field name meaning ID task number created_user task creator Job_name task name is_enabled Is it executable criteria_composite_rule Conditions match the rules retention_period task retention time

table 3

field name meaning ID task number Interval_time task execution time Interval_type task execution type

In the analysis task trigger information table such as Table 3, for example, according to preset rules, the execution interval between different analysis tasks is 32s, and the execution types of the tasks are respectively executed once. Exemplarily, the analysis task creation information table shown in Table 2 will record the information of successfully created automated analysis tasks.

In a possible implementation manner, after calling the analysis model to execute the analysis task, the method further includes generating an analysis task execution information table including analysis task execution information.

In a possible implementation manner, the analysis task execution information table includes at least one of the analysis task name, display panel information, defect number, production information, defect cause variables, defect result variables, and positive and negative sample thresholds.

In a specific example, the user sets the execution time point and execution frequency of the analysis task on the first interface displayed on the terminal, and starts the scheduled analysis task. When the time comes to the execution time of the analysis task, the server will first clear all the parameter data in the analysis task parameter data table such as Table 1, and then insert the relevant parameters of this automated analysis task, and at the same time, for example, the analysis task parameter data in Table 1 The data in the table will also be synchronized to the analysis task execution information table.

Exemplarily, the analysis task execution information table including the analysis task execution information may be called twyield.auto_job_analysis, and the fields contained therein and the meanings of the fields are shown in Table 4, for example.

Table 4

Exemplarily, the analysis task execution information table such as Table 4 will record all task creation records.

In a possible implementation manner, after the analysis result is stored, the method for analyzing a defective display panel provided in this embodiment further includes generating a first analysis result information table including the analysis result information.

In a possible implementation manner, after the analysis results are stored, the method for analyzing defective display panels provided in this embodiment further includes generating a second analysis result information table including analysis result information of successfully executed analysis tasks.

In a possible implementation manner, the first analysis result information table and the second analysis result information table respectively include analysis task sequence number, analysis task execution time point, instance sequence number, analysis task name, analysis task status at least one.

In a specific example, when the server executes the automated analysis task, it will call the analysis model to obtain the analysis result of the bad cause, and store the analysis result in the form of a pqrquet file on the distributed file system (Hadoop Distributed File System, HDFS). The result information is synchronized to the first analysis result information table and the second analysis result information table.

Exemplarily, the first analysis result information table containing the analysis result information can be called twyield.edm_job_result, and the fields it contains and the meanings of the fields are shown in Table 5; the second analysis containing the analysis result information of the successful analysis task The result information table may be called twyield.edm_job_activity_result, and the fields it contains and their meanings are shown in Table 6, for example.

table 5

field name meaning ID task number created_time Task start time instanced_id instance number Job_id task number status task status end_time Task end execution time

Table 6

field name meaning ID task number instanced_id instance number start_time Task start time result_ids Concatenation of task number and result sequence number Job_id task number status task status end_time Task end execution time

For example, the difference between the first analysis result information table in Table 5 and the second analysis result information table in Table 6 is that, for example, the first analysis result information table in Table 5 records the result information of all analysis tasks performed, while the results in Table 6 for example The second analysis result information table only records the result information of the analysis task execution status of which the analysis task execution status is successful.

Exemplarily, the above Tables 1-6 are respectively PG tables (PostSQL database type tables).

In a possible implementation manner, as shown in FIG. 3, the method for analyzing a defective display panel provided in this embodiment further includes:

S240. The terminal obtains analysis result query information in response to the operation on the second input control of the displayed second interface and sends it to the server;

S250. The server searches for information according to the analysis result, and finds an information related to the analysis result query from at least one of the analysis task execution information table, analysis task creation information table, first analysis result information table, and second analysis result information table. The analysis result information corresponding to the information, generating at least one analysis result information item and sending it to the terminal;

S260. The terminal displays the analysis result information item and the first selection control corresponding to each analysis result information item, generates an analysis result detail request in response to the operation on the first selection control, and sends it to the server;

S270. The server requests to query the stored analysis results according to the details of the analysis results, and sends the details of the analysis results obtained from the query to the terminal;

S280. The terminal displays the details of the analysis results, where the details of the analysis results include cause information of display panel defects and score information of each cause information.

In a specific example, the second interface can be the same interface as the first interface, that is, the second input control and the first input control can be displayed in the same interface, for example, the second input control and the first input control shown in FIG. 4 The automated analysis task maintenance interface of the control, on the one hand, through the input operation of the first input control in the automated analysis task maintenance interface displayed on the terminal, the user can set, for example, the analysis task execution information including the execution time point and execution frequency of the analysis task, And open the timed task, on the other hand, by the input operation of the second input control in the automated analysis task maintenance interface displayed on the terminal, the user can set for example by Defect Code (bad number), Factory (production plant), Operations (site) The analysis result query information combined with the Model (display panel size), in response to, for example, the above analysis result query information, the server creates an information table, such as table The first analysis result information table of Table 5 and the second analysis result information table such as Table 6 can find information such as the instance number, task status, and task name of the corresponding automated analysis task, generate at least one analysis result information item and send it to the terminal.

Then, the terminal displays the analysis result information item, the first selection control GoToIM corresponding to each analysis result information item whose execution status is success (Success), and the first selection control GoToIM corresponding to each analysis result information item whose execution status is failure (Fail). For example, the terminal responds to the user’s click operation on the first selection control GoToIM to generate an analysis result detail request and sends it to the server, and responds to the user’s click operation on the restart control Restart to generate a restart analysis task request and send it to the server.

Then,

In response to the analysis result details request, the server queries the stored analysis results and sends the query analysis result details to the terminal, and the terminal displays the analysis result details, and the analysis result details include cause information of display panel failure and each reason The score information of the information. For example, the server generates a URL address in a specified format according to the instance number of the analysis task in the analysis result details request, so that the terminal jumps to the analysis including the cause information of the display panel failure and the score information of each cause information as shown in Figure 5. The result details interface, the analysis result details interface can also generate a series of quantified judgment indicators to reflect the relationship between the Defect Code (bad number) and the cause variable (the selected site or the equipment under the selected site), for example, by generating a series of quantitative judgment indicators. Some charts can be used to reflect the distribution information of Defect Code (bad number).

In response to the restart analysis task request including the task name, for example, the server obtains the configuration information of the analysis task to be re-executed by querying the analysis task execution information table such as Table 4, and reschedules and executes the corresponding analysis task according to the operation of the preceding example.

In a specific example, the bad analysis task scheduling and analysis result query process of the display panel formed by the above steps S210-S280, for example, as shown in FIG. The analysis result is the database side.

In a possible implementation, in addition to the way that the user actively initiates the analysis result query through the terminal introduced in the above steps S240-S280, this embodiment also provides an automated mail method to regularly push the analysis results, specifically including:

The terminal obtains mail configuration information in response to the operation of the first setting control on the displayed third interface and sends it to the server. The mail configuration information includes the time point of mail publishing, the frequency of mail publishing, the score information of the cause information of the display panel failure, and Recipient Information;

The server queries the stored analysis results according to the email configuration information and sends the query analysis result information by email.

In a specific example, the terminal displays, for example, the automated email configuration interface shown in FIG. In response to the email configuration information, the server sets the content that needs attention in the emails sent every day according to the score information of the cause information of the display panel failure in the analysis results of the automated analysis task obtained every day, and at the same time sets the email configuration information. Sending time, frequency, sender, sender, cc, text sending template and other related information, a thread is opened in the background to send emails at regular intervals, and when the time comes to send emails, relevant information will be obtained from the PG table Corresponding to the analysis results, this process is similar to the above-mentioned process of the user querying the analysis results. The server filters the required analysis results according to the score information of the cause information of the display panel failure set by the user, writes it into the Excel template prepared by the remote server, and The screenshot is inserted into the email as the text, and the generated Excel file is sent as an attachment. When the user logs in to the mailbox through the web page or client to read the email including the analysis result information, the displayed email content is shown in Figure 8.

In a specific example, the flow of the above email configuration is shown in FIG. 9 , for example.

To sum up, the method for analyzing defective display panels provided in this embodiment can use the production data generated during the production process of each site in the entire factory as the data source, and set the cause variables and result variables according to the user's analysis requirements for timing scheduling analysis. A series of quantitative judgment indicators and visual charts are generated for users to view. The operation is easy for users, and the analysis results are intuitive and convenient for users to view. At the same time, it provides the function of sending emails at regular intervals, and pushes an overview of the analysis results of automated analysis tasks at regular intervals every day, which improves analysis efficiency and saves labor costs.

Those skilled in the art should understand that in the above embodiments, although the execution order of the steps in the process is described according to the step numbers such as S210 and S220, it does not mean that they must be executed in this order, as long as the logic is not violated.

Another embodiment of the present invention provides a system for analyzing defective display panels, including a server and at least one terminal;

The server is configured to generate an analysis task parameter data table including analysis task parameter information according to the analysis task parameter configuration table and the acquired analysis task parameter values;

The terminal is configured to obtain execution time information of the analysis task and send it to the server in response to an input operation on the first input control of the displayed first interface;

The server is further configured to create an analysis task according to the analysis task parameter data table and the execution time information, periodically call an analysis model to execute the analysis task according to the execution time information, and store analysis results.

It should be noted that the principle and workflow of the system for analyzing defective display panels provided in this embodiment are similar to the method for analyzing defective display panels described above.

As shown in Figure 10, the computer system that is suitable for being used to realize the server or terminal in the bad analysis system of the display panel that above-mentioned embodiment provides, comprises central processing module (CPU), and it can be stored in read-only memory (ROM) Various appropriate actions and processes are executed by a program in the memory or a program loaded from the storage part into the random access memory (RAM). In RAM, various programs and data necessary for the operation of the computer system are also stored. The CPU, ROM, and RAM are connected here via a bus. An input/input (I/O) interface is also connected to the bus.

The following parts are connected to the I/O interface: an input section including a keyboard, a mouse, etc.; an output section including a liquid crystal display (LCD) etc., a speaker, etc.; a storage section including a hard disk, etc.; and a network including a LAN card, a modem, etc. The communication part of the interface card. The communication section performs communication processing via a network such as the Internet. Drives are also connected to the I/O interface as required. A removable medium, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is mounted on the drive as necessary so that a computer program read therefrom is installed into the storage section as necessary.

In particular, according to this embodiment, the process described in the flow chart above can be implemented as a computer software program. For example, the present embodiment includes a computer program product, which includes a computer program tangibly embodied on a computer-readable medium, the computer program including program codes for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network via the communication part, and/or installed from a removable medium.

The flowcharts and schematic diagrams in the accompanying drawings illustrate the architecture, functions and operations of possible implementations of the system, method and computer program product of the present embodiment. In this regard, each block in a flowchart or schematic diagram may represent a module, program segment, or part of code that includes one or more programmable components for implementing specified logical functions. Execute instructions. 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 they may sometimes be executed in the reverse order, depending upon the functionality involved. It should also be noted that each block of the illustrations and/or flowchart illustrations, and combinations of blocks in the illustrations and/or flowchart illustrations, can be implemented by a dedicated hardware-based system that performs the specified functions or operations , or may be implemented by a combination of dedicated hardware and computer instructions.

As another aspect, this embodiment also provides a non-volatile computer storage medium. The non-volatile computer storage medium may be the non-volatile computer storage medium contained in the above-mentioned device in the above-mentioned embodiment, or It may be a non-volatile computer storage medium that exists independently and is not assembled into the terminal. The above-mentioned non-volatile computer storage medium stores one or more programs, when the above-mentioned one or more programs are executed by a device:

The above device: generates an analysis task parameter data table including analysis task parameter information according to the analysis task parameter configuration table and the obtained analysis task parameter value; receives execution time information of the analysis task from the terminal, and the execution time information is provided by the The terminal obtains in response to the operation of the first input control on the displayed first interface; creates an analysis task according to the analysis task parameter data table and the execution time information, and periodically invokes the analysis model to execute the analysis task according to the execution time information, and store the analysis results. or

The above-mentioned device: obtains the execution time information of the analysis task in response to an input operation on the first input control of the displayed first interface; sends the execution time information of the analysis task to the server, so that the server contains the analysis task according to the The analysis task parameter data table of the parameter information and the execution time information create an analysis task, periodically call the analysis model to execute the analysis task according to the execution time information, and store the analysis results, wherein the analysis task parameter data table is provided by the server Generated according to the analysis task parameter configuration table and the obtained analysis task parameter values.

In the description of the present invention, it should be noted that the orientation or positional relationship indicated by the terms "upper", "lower", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present invention and simplifying the description. It is not intended to indicate or imply that the referred device or element must have a particular orientation, be constructed in a particular orientation, and operate in a particular orientation, and thus should not be construed as limiting the invention. Unless otherwise clearly specified and limited, the terms "installation", "connection" and "connection" should be interpreted in a broad sense, for example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a mechanical connection, It can also be an electrical connection; it can be a direct connection, or an indirect connection through an intermediary, or an internal communication between two components. Those of ordinary skill in the art can understand the specific meanings of the above terms in the present invention according to specific situations.

It should also be noted that in the description of the present invention, relative terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply these No such actual relationship or order exists between entities or operations. Furthermore, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a set of elements includes not only those elements, but also includes elements not expressly listed. other elements of or also include elements inherent in such a process, method, article, or device. Without further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising said element.

Apparently, the above-mentioned embodiments of the present invention are only examples for clearly illustrating the present invention, and are not intended to limit the implementation of the present invention. Those of ordinary skill in the art can also make It is not possible to exhaustively list all the embodiments here, and any obvious changes or changes derived from the technical solutions of the present invention are still within the scope of protection of the present invention.

Claims (16)

1. A method for analyzing a display panel defect, wherein the method is applied to a server, the method comprising:

generating an analysis task parameter data table containing analysis task parameter information according to the analysis task parameter configuration table and the acquired analysis task parameter values;

receiving execution time information of an analysis task from a terminal, wherein the execution time information is obtained by the terminal in response to the operation of a first input control of a displayed first interface;

and creating an analysis task according to the analysis task parameter data table and the execution time information, calling an analysis model to execute the analysis task according to the execution time information at regular time, and storing an analysis result.

2. The method of claim 1, wherein the analysis task execution information includes an execution time point and an execution frequency of the analysis task.

3. The method of claim 1, wherein the analysis task parameter information includes at least one of an analysis task name, display panel information, a defect number, production information, a defect cause variable, and a defect result variable.

4. The method of claim 1, wherein after creating an analysis task from the analysis task parameter data table and the execution time information, the method further comprises generating an analysis task creation information table containing analysis task creation information and an analysis task trigger information table containing analysis task execution order information.

5. The method of claim 4, wherein the analysis task creation information includes at least one of an analysis task number, creation user information, an analysis task name, and execution status information, and the task trigger information table includes at least one of an analysis task number, an analysis task execution time point, and an analysis task execution type.

6. The method of claim 4, wherein after invoking the analytical model to perform the analytical task, the method further comprises generating an analytical task performance information table containing analytical task performance information.

7. The method of claim 6, wherein the analysis task execution information table includes at least one of an analysis task name, display panel information, a defect number, production information, a defect cause variable, a defect result variable, and a positive and negative sample threshold.

8. The method of claim 6, wherein after storing the analysis results, the method further comprises generating a first analysis result information table containing analysis result information.

9. The method of claim 8, wherein after storing the analysis results, the method further comprises generating a second analysis result information table containing analysis result information for successful execution of the analysis task.

10. The method of claim 9, wherein the first analysis result information table and the second analysis result information table each include at least one of an analysis task number, an analysis task execution time point, an instance number, an analysis task name, and an analysis task status.

11. The method according to claim 9, wherein the method further comprises:

receiving analysis result query information from a terminal, wherein the analysis result query information is obtained by the terminal in response to the operation of a second input control of a second displayed interface;

according to the analysis result query information, at least one analysis result information item corresponding to the analysis result query information is searched from at least one of an analysis task execution information table, an analysis task creation information table, a first analysis result information table and a second analysis result information table, at least one analysis result information item is generated and sent to the terminal, so that the terminal displays the analysis result information items and first selection controls corresponding to each analysis result information item, and an analysis result detail request is generated in response to the operation of the first selection controls;

and requesting to inquire the stored analysis result according to the analysis result details, and sending the analysis result details obtained by inquiry to the terminal so that the terminal displays the analysis result details, wherein the analysis result details comprise cause information of poor display panel and score information of each cause information.

12. The method according to claim 9, wherein the method further comprises:

receiving mail configuration information from a terminal, wherein the mail configuration information is obtained by the terminal in response to the operation of a first setting control of a third displayed interface, and comprises mail release time points, mail release frequency, score information and recipient information of cause information of poor display panel;

inquiring the stored analysis result according to the mail configuration information and sending the inquired analysis result information to the mail.

13. A method for analyzing a display panel defect, the method being applied to a terminal, the method comprising:

responding to the input operation of a first input control of a displayed first interface to obtain the execution time information of the analysis task;

and sending the execution time information of the analysis task to a server so that the server creates the analysis task according to an analysis task parameter data table containing analysis task parameter information and the execution time information, and calling an analysis model to execute the analysis task according to the execution time information at regular time, and storing an analysis result, wherein the analysis task parameter data table is generated by the server according to an analysis task parameter configuration table and the acquired analysis task parameter value.

14. A method for analyzing defects in a display panel, comprising:

the server generates an analysis task parameter data table containing analysis task parameter information according to the analysis task parameter configuration table and the acquired analysis task parameter values;

the terminal responds to the input operation of the first input control of the displayed first interface to obtain the execution time information of the analysis task and sends the execution time information to the server;

and the server creates an analysis task according to the analysis task parameter data table and the execution time information, calls an analysis model to execute the analysis task according to the execution time information at regular time, and stores an analysis result.

15. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any one of claims 1-12 or the method of claim 13 when the program is executed by the processor.

16. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method of any one of claims 1-12 or the method of claim 13.

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