Production data processing method and device, computer storage medium and electronic equipment

Abstract

The embodiment of the invention provides a production data processing method and device, a computer storage medium and electronic equipment, the production data processing method is applied to the electronic equipment in communication connection with a target production system, and production process data of the target production system is acquired; the production process data comprises operation data of production equipment in the target production system and quality data of products produced through the target production system; based on a preset production anomaly database and the production process data, target anomaly data and a corresponding target anomaly solution are determined, and the production anomaly database comprises anomaly parameter ranges of different production process data and an anomaly solution corresponding to at least one anomaly parameter range; and the target abnormal data and the corresponding target abnormal solution are displayed, so that a user can know the abnormal condition of the target production system in the production process in time, the troubleshooting and solving efficiency of the target production system is improved, and meanwhile, the labor cost is reduced.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of data processing technology, and in particular to a production data processing method, device, computer storage medium and electronic device. Background Art

[0002] During the production process, it is necessary to monitor the operating status of the production equipment and the quality data of the products so that when the production equipment fails or the product has quality problems, they can be dealt with in a timely manner to avoid safety accidents or large losses.

[0003] At present, in order to monitor the operating status of production equipment and the quality data of products, it is necessary to manually check the operating status of production equipment and the quality data of products and propose solutions to abnormal situations. The work efficiency is low and the labor cost is high. Summary of the invention

[0004] In view of this, an embodiment of the present invention provides a production data processing method, device, computer storage medium and electronic device to at least partially solve the above problems.

[0005] According to a first aspect of an embodiment of the present invention, a production data processing method is provided, which is applied to an electronic device that is communicatively connected to a target production system. The method of this embodiment includes: acquiring production process data of the target production system, the production process data including operation data of production equipment in the target production system and quality data of products produced by the target production system; determining target abnormality data and corresponding target abnormality solutions based on a preset production abnormality database and production process data, the production abnormality database including abnormal parameter ranges for different production process data and abnormality solutions corresponding to at least one abnormal parameter range; and displaying the target abnormality data and the corresponding target abnormality solutions.

[0006] According to the second aspect of an embodiment of the present invention, there is provided a production data processing device, which is applied to an electronic device that is communicatively connected to a target production system. The device of this embodiment includes an acquisition module, an abnormality analysis module, and a display module. Among them, the acquisition module is used to acquire the production process data of the target production system, and the production process data includes the operation data of the production equipment in the target production system and the quality data of the products produced by the target production system; the abnormality analysis module is used to determine the target abnormality data and the corresponding target abnormality solution based on the preset production abnormality database and production process data, and the production abnormality database includes the abnormal parameter range of different production process data and the abnormality solution corresponding to at least one abnormal parameter range; the display module is used to display the target abnormality data and the corresponding target abnormality solution.

[0007] According to a third aspect of an embodiment of the present invention, there is provided an electronic device, comprising: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus; the memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform an operation corresponding to the method of the first aspect.

[0008] According to a fourth aspect of an embodiment of the present invention, there is provided a computer storage medium on which a computer program is stored. When the program is executed by a processor, the method of the first aspect is implemented.

[0009] In the scheme of the embodiment of the present invention, by setting up a production anomaly database, the production anomaly database includes abnormal parameter ranges of different production process data and abnormal solutions corresponding to at least one abnormal parameter range. The production anomaly database can be used to perform abnormal analysis on the production process data of the target production system, and determine the target abnormal data and the corresponding target abnormal solution; then the target abnormal data and the corresponding target abnormal solution are displayed so that the user can timely understand the abnormal situation of the target production system in the production process, and can provide corresponding target abnormal solutions to assist the user to quickly troubleshoot and solve the problem, thereby improving the efficiency of troubleshooting and solving the problem for the target production system and reducing labor costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the embodiments of the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0011] Figure 1 A schematic diagram of an application scenario according to an embodiment of the present invention;

[0012] Figure 2 A flowchart of a production data processing method according to an exemplary embodiment of the present invention;

[0013] Figure 3 A schematic flow chart of a production data processing method according to another embodiment of the present invention;

[0014] Figure 4 is a structural block diagram of a production data processing device according to an exemplary embodiment of the present invention;

[0015] Figure 5 FIG. 4 is a schematic structural diagram of an electronic device according to an exemplary embodiment of the present invention.

[0016] List of reference numerals:

[0017] 10. Target production system; 20. Terminal equipment;

[0018] S202, obtaining production process data of the target production system;

[0019] S204, determining target abnormality data and corresponding target abnormality solutions based on a preset production abnormality database and production process data;

[0020] S206, displaying target abnormal data and corresponding target abnormal solution;

[0021] S302, obtaining production process data of the target production system;

[0022] S304, based on a preset production abnormality database, determining whether there is abnormal data in the production process data that falls within an abnormal parameter range;

[0023] S306: If so, determine that the abnormal data is the target abnormal data, and match the corresponding abnormal solution from the production abnormality database according to the abnormal parameter range that the target abnormal data falls into, to obtain the target abnormal solution;

[0024] S308, displaying target abnormal data and corresponding target abnormal solution;

[0025] 400, production data processing device; 402, acquisition module; 404, abnormality analysis module; 406, display module;

[0026] 502, processor; 504, communication interface; 506, memory; 508, communication bus; 510, program. DETAILED DESCRIPTION

[0027] In order to enable those skilled in the art to better understand the technical solutions in the embodiments of the present invention, the technical solutions in the embodiments of the present invention will be described clearly and in detail below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in the field based on the embodiments in the embodiments of the present invention should fall within the scope of protection of the embodiments of the present invention.

[0028] The specific implementation of the embodiment of the present invention is further described below in conjunction with the accompanying drawings of the embodiment of the present invention.

[0029] For ease of understanding, before describing in detail the specific embodiments of the present invention, an illustrative description is first given of the application scenarios of the production data processing method, device, computer storage medium, and electronic device of the present invention.

[0030] Reference Figure 1The production data processing method of the embodiment of the present invention is applied to a terminal device 20 that is communicatively connected to a target production system 10. The target production system 10 may be a production system for manufacturing one or more products. The target production system 10 may include one or more production equipment. For example, the target production system 10 may be used in the food and chemical industries. The terminal device 20 may be an electronic device including a display device, or an electronic device that can be externally connected to a display device, which is not limited in this embodiment.

[0031] During the production process, it is necessary to monitor the operating status of the production equipment and the quality data of the products, so that when the production equipment fails or the product has quality problems, timely processing can be carried out to avoid safety accidents or large losses. At present, in order to monitor the operating status of the production equipment and the quality data of the products, it is necessary to manually check the operating status of the production equipment and the quality data of the products, and propose solutions to abnormal situations, resulting in a large workload for production personnel and high labor costs. In view of this, an embodiment of the present invention provides a production data processing method, device, computer storage medium and electronic device to at least partially solve the above problems.

[0032] Figure 2 The flowchart of the production data processing method of the exemplary embodiment of the present invention is shown in the figure. As shown in the figure, this embodiment mainly includes the following steps:

[0033] S202: Acquire production process data of the target production system.

[0034] Exemplarily, the production process data may include the operating data of the production equipment in the target production system and the quality data of the products produced by the target production system. The operating data of the production equipment may include the mold temperature, the position of the movable parts, the movement speed of the moving parts, etc. in the production equipment, and this embodiment does not limit this. The quality data of the product is used to characterize whether the product is of qualified quality, for example, it may include the size, hardness, etc. of the product. Different quality data may be set for different types of products, and this embodiment does not limit this. The production process data may be sent to the terminal device by a data acquisition device, such as a sensor set in the production equipment, a product quality detection device, etc., or it may be data manually input by a user, and this embodiment does not limit this.

[0035] In some optional embodiments, obtaining the production process data of the target production system includes: obtaining a data collection frequency configuration file, the data collection frequency configuration file is generated based on the data collection frequency information input into a preset data collection frequency configuration template; completing configuration based on the data collection frequency configuration file; and obtaining the production process data of the target production system according to the data collection frequency in the data collection frequency configuration file.

[0036] Exemplarily, the terminal device may include a data acquisition frequency configuration interface, which may provide a data acquisition frequency configuration template to the user, in which the user may input data acquisition frequency information, and the data acquisition frequency information may be flexibly set by a person skilled in the art according to actual conditions, for example, the data acquisition frequency information may be 1 minute, 5 minutes, 10 minutes, etc., which is not limited in this embodiment. The configuration is completed based on the data acquisition frequency configuration file, and the production process data of the target production system is acquired according to the data acquisition frequency in the data acquisition frequency configuration file.

[0037] In this embodiment, the user can configure the data collection frequency as needed to implement short time interval monitoring of the production process data of the target production system, so that the user can promptly understand the abnormal situation of the target production system during the production process and solve the abnormal problem in time.

[0038] S204: Determine target abnormality data and corresponding target abnormality solutions based on a preset production abnormality database and production process data.

[0039] Exemplarily, the production anomaly database includes abnormal parameter ranges for different production process data and abnormal solutions corresponding to at least one abnormal parameter range. A corresponding abnormal parameter range can be set for each type of production process data, for example, a corresponding temperature abnormal parameter range can be set for the mold temperature of a certain production equipment, and a corresponding size abnormal parameter range can be set for the size of a certain product. Furthermore, the production anomaly database can provide abnormal solutions corresponding to some or all of the abnormal parameter ranges. For example, for a certain production process data in which an abnormal situation has occurred, an abnormal solution that has been used historically can be added to the production anomaly database, corresponding to the abnormal parameter range of the production process data; or an abnormal solution that can theoretically solve the abnormal situation of the production process data can be added to the production anomaly database, and this embodiment does not limit this.

[0040] In some optional embodiments, the abnormal parameter range of the same production process data includes a predicted abnormal parameter range and an actual abnormal parameter range, and the abnormal solution corresponding to the predicted abnormal parameter range is different from the abnormal solution corresponding to the actual abnormal parameter range; the predicted abnormal parameter range of the same production process data is closer to the standard parameter range of the production process data than the actual abnormal parameter range.

[0041] Exemplarily, for the same type of production process data, two parameter ranges can be set accordingly: a predicted abnormal parameter range and an actual abnormal parameter range, wherein the predicted abnormal parameter range indicates that the production process data is not within the standard parameter range, and no abnormal phenomenon is reflected on the production equipment or product corresponding to the production process data; the actual abnormal parameter range indicates that the production process data is not within the standard parameter range, and abnormal phenomena have been reflected on the production equipment or product corresponding to the production process data, and the standard parameter range refers to the normal parameter range corresponding to the production equipment or product, such as the rated parameter range of the production equipment, the setting error range of the product's dimensional parameters, etc.

[0042] The predicted abnormal parameter range of the same production process data is closer to the standard parameter range of the production process data than the actual abnormal parameter range. For example, taking the production process data as the mold temperature of a certain production equipment, the standard parameter range of the production process data is 385 degrees to 410 degrees, the predicted abnormal parameter range can be set to 410 degrees to 435 degrees and 370 degrees to 385 degrees, and the actual abnormal parameter range can be set to greater than 435 degrees and less than 370 degrees.

[0043] Different abnormal solutions are available for the predicted abnormal parameter range and the actual abnormal parameter range. For example, when the mold temperature of a certain production equipment falls into the predicted abnormal parameter range, the corresponding abnormal solution may be: 1) thermal inspection of the products produced by the production equipment; 2) if the mold temperature is too high, increase the frequency of the fan in the production equipment, increase the wind resistance and air volume, etc.; if the mold temperature is too low, reduce the frequency of the fan in the production equipment, reduce the wind resistance and air volume, etc. When the mold temperature of the production equipment falls into the actual abnormal parameter range, the corresponding abnormal solution may be: execute the above solutions 1) and 2), notify relevant technical personnel to conduct equipment inspection, and monitor the quality of the products produced by the production equipment during the mold temperature period, etc.

[0044] In this embodiment, by setting the predicted abnormal parameter range and the actual abnormal parameter range for the same production process data, an early warning can be issued when the production process data falls into the predicted abnormal parameter range, so that the user can deal with the abnormal situation in advance, and effectively avoid the loss of production equipment or products due to failure or quality problems.

[0045] S206: Display target exception data and corresponding target exception solutions.

[0046] Exemplarily, the terminal device may include a display interface, which may include a target anomaly data display area and a target anomaly solution display area. The display form is not limited to text, charts, etc. For example, the target anomaly data can be displayed using a line chart, and the historical target anomaly data can be displayed in a unified manner. The target anomaly solution can be displayed using text, so that the user can efficiently and intuitively understand the target anomaly data and the corresponding target anomaly solution.

[0047] In addition, the terminal device can also push the target exception data and the corresponding target exception solution to the target software, such as pop-up software installed in the mobile electronic device, so that the user can obtain the abnormal situation in time; the terminal device can also connect to the alarm device at the production site to send the target exception data and the corresponding target exception solution to the alarm device, so as to prompt the personnel at the production site of the abnormality, so as to facilitate the personnel at the production site to respond in time and avoid safety accidents caused by abnormal situations.

[0048] In this embodiment, by setting up a production anomaly database, the production anomaly database includes abnormal parameter ranges of different production process data and abnormal solutions corresponding to at least one abnormal parameter range. The production anomaly database can be used to perform abnormal analysis on the production process data of the target production system to determine the target abnormality data and the corresponding target abnormality solution; the target abnormality data and the corresponding target abnormality solution are then displayed so that users can promptly understand the abnormal conditions of the target production system during the production process, and corresponding target abnormality solutions can be provided to assist users in quickly troubleshooting and solving faults, thereby improving the efficiency of troubleshooting and solving faults for the target production system and reducing labor costs.

[0049] In some optional embodiments, the method of this embodiment also includes: obtaining an abnormal parameter range configuration file of the target production process data, the abnormal parameter range configuration file is generated based on the abnormal parameter range information input in a preset abnormal parameter range configuration template; completing configuration based on the abnormal parameter range configuration file to obtain the abnormal parameter range of the target production process data; and updating the abnormal parameter range of the target production process data into the production abnormality database.

[0050] Exemplarily, the terminal device may include an abnormal parameter range configuration interface, which may provide the user with an abnormal parameter range configuration template, in which the user may input abnormal parameter range information for the target production process data, such as abnormal parameter range information for the mold temperature of a certain production equipment; the abnormal parameter range information may be flexibly set by those skilled in the art according to actual conditions, such as abnormal parameter range information may be 410 to 435 degrees and 370 to 385 degrees, or greater than 435 degrees and less than 370 degrees, etc., which is not limited in this embodiment. The configuration is completed based on the abnormal parameter range configuration file to obtain the abnormal parameter range of the target production process data; the abnormal parameter range of the target production process data is updated to the production abnormality database.

[0051] In this embodiment, the user can configure the abnormal parameter range of the target production process data to monitor the production process data of the target production system, so that the user can fully understand the abnormal situation of the target production system during the production process and solve the abnormal problems in time.

[0052] Reference Figure 3 , shows a flowchart of the steps of a production data processing method according to another exemplary embodiment of the present application. As shown in the figure, this embodiment mainly shows a specific implementation scheme of step S204 of the above embodiment, and this embodiment mainly includes the following steps:

[0053] S302: Acquire production process data of the target production system.

[0054] It should be noted that step S302 can be implemented with reference to the specific implementation of step S202 above, which will not be described in detail here.

[0055] S304: Based on a preset production anomaly database, determine whether there is abnormal data in the production process data that falls within an abnormal parameter range.

[0056] For example, take the case where the production process data includes the mold temperature of a certain production equipment. For example, the acquired mold temperature is 425 degrees, and the abnormal parameter range corresponding to the mold temperature in the production abnormality database includes greater than 410 degrees and less than 385 degrees. Then there is abnormal data falling within the abnormal parameter range in the production process data, that is, the abnormal data is that the mold temperature is 425 degrees.

[0057] S306: If so, determine that the abnormal data is the target abnormal data, and match the corresponding abnormal solution from the production abnormality database according to the abnormal parameter range that the target abnormal data falls into, to obtain the target abnormal solution.

[0058] Exemplarily, the production anomaly database may include an abnormal solution corresponding to the abnormal parameter range of the mold temperature. After the mold temperature is determined to be the target abnormal data, the corresponding abnormal solution can be matched from the production anomaly database according to the abnormal parameter range within which the target abnormal data falls, thereby obtaining the target abnormal solution.

[0059] S308: Display target exception data and corresponding target exception solutions.

[0060] It should be noted that step S308 can be implemented with reference to the specific implementation of step S206, which will not be described in detail here.

[0061] In this embodiment, it is possible to first determine whether there is abnormal data in the production process data that falls within the abnormal parameter range. If so, the abnormal data is determined to be the target abnormal data, and the corresponding abnormal solution is matched from the production abnormality database according to the abnormal parameter range that the target abnormal data falls into, to obtain the target abnormal solution. This allows users to promptly understand the abnormal situation of the target production system during the production process, and to obtain the corresponding target abnormal solution to assist users in quickly troubleshooting and solving the problem.

[0062] In some optional embodiments, the method of this embodiment further includes: if no exception solution corresponding to the target exception data is matched from the production exception database, generating an exception event to be processed based on the target exception data; and displaying the exception event to be processed.

[0063] Exemplarily, there may be a situation where the production anomaly database does not include an abnormal solution corresponding to the abnormal parameter range of the mold temperature. In this case, after determining that the abnormal data is the target abnormal data, according to the abnormal parameter range that the target abnormal data falls into, the corresponding abnormal solution cannot be matched from the production anomaly database. Here, based on the target abnormal data, an abnormal event to be processed can be generated; the abnormal event to be processed may include the following information: abnormal type (production equipment abnormality or product abnormality), abnormal phenomenon, detailed description, urgency, production equipment information, product information, abnormal time, etc., where the urgency can be divided into falling into the predicted abnormal parameter range or falling into the actual abnormal parameter range, and the abnormal event to be processed is displayed. In addition, the terminal device can also provide an abnormal event creation interface to be processed, and the user can enter abnormal data in the abnormal event creation interface to generate an abnormal event to be processed.

[0064] In this embodiment, after determining the target exception data, if the exception solution corresponding to the target exception data is not matched from the production exception database, an exception event to be processed can be generated based on the target exception data; the exception event to be processed is displayed so that the user can promptly understand the abnormal situation of the target production system in the production process without manual investigation, thereby improving the efficiency of problem solving.

[0065] In some optional embodiments, the terminal device includes a target interface, the target interface includes an abnormal event display area for pending processing and an input area for new abnormal solutions. The method of this embodiment also includes: obtaining update information for the abnormal events to be processed, the update information is generated based on the new abnormal solution input in the input area for the new abnormal solution; based on the update information and the abnormal events to be processed, updating the production abnormality database.

[0066] Exemplarily, the target interface of the terminal device can display the abnormal events to be processed and the input area for new abnormal solutions. The user can enter the abnormal solution for the abnormal event to be processed in the input area for the new abnormal solution, so that the terminal device can obtain the updated information for the abnormal event to be processed, and based on the updated information and the abnormal event to be processed, update the production abnormality database, so that the production abnormality database contains the target abnormality data in the abnormal event to be processed and the corresponding abnormal solution.

[0067] In this embodiment, an exception solution for the exception event to be processed can be added through the new exception solution input area in the target interface, thereby updating the production exception database, so that when the target exception data corresponding to the exception event to be processed appears again in the future, the corresponding exception solution can be directly obtained from the production exception database, thereby improving the user's efficiency in solving exception problems.

[0068] Figure 4 4 is a structural block diagram of a production data processing device according to an embodiment of the present invention.

[0069] As shown in the figure, the production data processing device 400 of this embodiment is applied to an electronic device that is communicatively connected to a target production system.

[0070] The production data processing device 400 of this embodiment includes an acquisition module 402, an abnormality analysis module 404 and a display module 406. The acquisition module 402 is used to acquire the production process data of the target production system, and the production process data includes the operation data of the production equipment in the target production system and the quality data of the products produced by the target production system; the abnormality analysis module 404 is used to determine the target abnormality data and the corresponding target abnormality solution based on the preset production abnormality database and production process data, and the production abnormality database includes the abnormal parameter ranges of different production process data and the abnormality solution corresponding to at least one abnormal parameter range; the display module 406 is used to display the target abnormality data and the corresponding target abnormality solution.

[0071] In some optional embodiments, the exception analysis module 404 is also used to: determine whether there is abnormal data falling within the abnormal parameter range in the production process data based on a preset production abnormality database; if so, determine that the abnormal data is target abnormal data, and match the corresponding abnormal solution from the production abnormality database according to the abnormal parameter range within which the target abnormal data falls, to obtain the target abnormality solution.

[0072] In some optional embodiments, the exception analysis module 404 is further used to: generate an exception event to be processed based on the target exception data if no exception solution corresponding to the target exception data is matched from the production exception database; and display the exception event to be processed.

[0073] In some optional embodiments, the terminal device includes a target interface, which includes a display area for abnormal events to be processed and an input area for new abnormal solutions. The device of this embodiment also includes an update module, which is used to: obtain update information for abnormal events to be processed, and the update information is generated based on the new abnormal solution input in the input area for the new abnormal solution; based on the update information and the abnormal events to be processed, update the production abnormality database.

[0074] In some optional embodiments, the abnormal parameter range of the same production process data includes a predicted abnormal parameter range and an actual abnormal parameter range, and the abnormal solution corresponding to the predicted abnormal parameter range is different from the abnormal solution corresponding to the actual abnormal parameter range; the predicted abnormal parameter range of the same production process data is closer to the standard parameter range of the production process data than the actual abnormal parameter range.

[0075] In some optional embodiments, the acquisition module 402 is also used to: obtain a data acquisition frequency configuration file, which is generated based on the data acquisition frequency information input into a preset data acquisition frequency configuration template; complete configuration based on the data acquisition frequency configuration file to obtain the data acquisition frequency; and obtain the production process data of the target production system according to the data acquisition frequency.

[0076] In some optional embodiments, the update module is also used to: obtain an abnormal parameter range configuration file of the target production process data, the abnormal parameter range configuration file is generated based on the abnormal parameter range information input in a preset abnormal parameter range configuration template; complete the configuration based on the abnormal parameter range configuration file to obtain the abnormal parameter range of the target production process data; and update the abnormal parameter range of the target production process data into the production abnormality database.

[0077] In addition, the production data processing device of the embodiment of the present invention can also be used to implement other steps in the aforementioned production data processing method embodiments, and has the beneficial effects of the corresponding method step embodiments, which will not be repeated here.

[0078] Reference Figure 5 , shows a schematic diagram of the structure of an electronic device according to an embodiment of the present invention. The specific embodiment of the present invention does not limit the specific implementation of the electronic device.

[0079] like Figure 5 As shown, the electronic device may include: a processor (processor) 502 for executing a program 510 , a communication interface (Communications Interface) 504 , a memory (memory) 506 , and a communication bus 508 .

[0080] in:

[0081] The processor, the communication interface, and the memory communicate with each other via a communication bus.

[0082] Communication interface, used to communicate with other electronic devices or servers.

[0083] The processor is used to execute the program, and specifically can execute the relevant steps in the above method embodiment.

[0084] Specifically, the program may include program codes including computer operation instructions.

[0085] The processor may be a CPU, or an application specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of the present invention. The one or more processors included in the smart device may be processors of the same type, such as one or more CPUs; or processors of different types, such as one or more CPUs and one or more ASICs.

[0086] The memory is used to store programs. The memory may include a high-speed RAM memory, and may also include a non-volatile memory, such as at least one disk memory.

[0087] The program may include multiple computer instructions. Specifically, the program may enable the processor to execute operations corresponding to the warehouse data processing method described in any of the aforementioned method embodiments through multiple computer instructions.

[0088] The specific implementation of each step in the program can refer to the corresponding description of the corresponding steps and units in the above method embodiment, and has corresponding beneficial effects, which will not be repeated here. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process of the above-described devices and modules can refer to the corresponding process description in the above method embodiment, which will not be repeated here.

[0089] The embodiment of the present invention further provides a computer storage medium on which a computer program is stored, and when the program is executed by a processor, the method described in any of the above-mentioned multiple method embodiments is implemented. The computer storage medium includes, but is not limited to: a compact disc read-only memory (CD-ROM), a random access memory (RAM), a floppy disk, a hard disk or a magneto-optical disk, etc.

[0090] An embodiment of the present invention further provides a computer program product, including computer instructions, which instruct a computing device to execute operations corresponding to any one of the above-mentioned multiple method embodiments.

[0091] In addition, it should be noted that the user-related information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to sample data used to train the model, data used for analysis, stored data, displayed data, etc.) involved in the embodiments of the present invention are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data need to comply with relevant regulations and standards, and corresponding operation entrances are provided for users to choose to authorize or refuse.

[0092] It should be pointed out that, according to the needs of implementation, the various components / steps described in the embodiments of the present invention can be split into more components / steps, or two or more components / steps or partial operations of components / steps can be combined into new components / steps to achieve the purpose of the embodiments of the present invention.

[0093] The above-mentioned method according to the embodiment of the present invention can be implemented in hardware, firmware, or implemented as software or computer code that can be stored in a recording medium (such as a CD-ROM, RAM, floppy disk, hard disk or magneto-optical disk), or implemented as a computer code originally stored in a remote recording medium or a non-temporary machine-readable medium downloaded through a network and to be stored in a local recording medium, so that the method described herein can be stored in such software processing on a recording medium using a general-purpose computer, a dedicated processor or programmable or dedicated hardware (such as an application-specific integrated circuit (ASIC) or a field programmable gate array (FPGA)). It can be understood that a computer, a processor, a microprocessor controller or programmable hardware includes a storage component (e.g., a random access memory (RAM), a read-only memory (ROM), a flash memory, etc.) that can store or receive software or computer code, and when the software or computer code is accessed and executed by a computer, a processor or hardware, the method described herein is implemented. In addition, when a general-purpose computer accesses the code for implementing the method shown here, the execution of the code converts the general-purpose computer into a dedicated computer for executing the method shown here.

[0094] Those of ordinary skill in the art will appreciate that the units and method steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the embodiments of the present invention.

[0095] The above implementation methods are only used to illustrate the embodiments of the present invention, and are not limitations of the embodiments of the present invention. Ordinary technicians in the relevant technical field may make various changes and modifications without departing from the spirit and scope of the embodiments of the present invention. Therefore, all equivalent technical solutions also belong to the scope of the embodiments of the present invention. The patent protection scope of the embodiments of the present invention should be defined by the claims.

Claims

1. A production data processing method, characterized in that: Applied to a terminal device in communication connection with a target production system, the method comprises: S202, acquiring production process data of the target production system, wherein the production process data includes operation data of production equipment in the target production system and quality data of products produced by the target production system; S204, determining target abnormal data and corresponding target abnormal solution based on a preset production abnormality database and the production process data, wherein the production abnormality database includes abnormal parameter ranges of different production process data and at least one abnormal solution corresponding to the abnormal parameter range; S206: Display the target exception data and the corresponding target exception solution.

2. The production data processing method according to claim 1, characterized in that: The determining of target abnormality data and corresponding target abnormality solutions based on the preset production abnormality database and the production process data includes: S304, based on a preset production abnormality database, determining whether there is abnormal data in the production process data that falls within the abnormal parameter range; S306: If so, determine that the abnormal data is target abnormal data, and match the corresponding abnormal solution from the production abnormality database according to the abnormal parameter range that the target abnormal data falls into, to obtain the target abnormal solution.

3. The production data processing method according to claim 2, characterized in that: The method further comprises: If no exception solution corresponding to the target exception data is matched from the production exception database, generating an exception event to be processed based on the target exception data; The abnormal events to be processed are displayed.

4. The production data processing method according to claim 3, characterized in that: The terminal device includes a target interface, the target interface includes a display area for the abnormal events to be processed and an input area for a new abnormal solution, and the method further includes: Acquire update information for the abnormal event to be processed, where the update information is generated based on the new abnormal solution inputted in the new abnormal solution input area; Based on the update information and the abnormal event to be processed, the production abnormality database is updated.

5. The production data processing method according to claim 1, characterized in that: The abnormal parameter range of the same production process data includes a predicted abnormal parameter range and an actual abnormal parameter range, and the abnormal solution corresponding to the predicted abnormal parameter range is different from the abnormal solution corresponding to the actual abnormal parameter range; the predicted abnormal parameter range of the same production process data is closer to the standard parameter range of the production process data than the actual abnormal parameter range.

6. The production data processing method according to claim 1, characterized in that: The obtaining of the production process data of the target production system includes: Obtaining a data collection frequency configuration file, wherein the data collection configuration file is generated based on the data collection frequency information input in a preset data collection frequency configuration template; Complete configuration based on the data collection frequency configuration file; Acquire the production process data of the target production system according to the data collection frequency in the data collection frequency configuration file.

7. The production data processing method according to claim 4, characterized in that: The method further comprises: Acquire an abnormal parameter range configuration file of target production process data, where the abnormal parameter range configuration file is generated based on abnormal parameter range information input into a preset abnormal parameter range configuration template; Complete configuration based on the abnormal parameter range configuration file to obtain the abnormal parameter range of the target production process data; The abnormal parameter range of the target production process data is updated into the production abnormality database.

8. A production data processing device, characterized in that: A terminal device for communication with a target production system, the device comprising: An acquisition module, configured to acquire production process data of the target production system, wherein the production process data includes operation data of production equipment in the target production system and quality data of products produced by the target production system; An abnormality analysis module, used to determine target abnormality data and corresponding target abnormality solutions based on a preset production abnormality database and the production process data, wherein the production abnormality database includes abnormal parameter ranges of different production process data and at least one abnormality solution corresponding to the abnormal parameter range; The display module is used to display the target abnormal data and the corresponding target abnormal solution.

9. An electronic device, comprising: A processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform an operation corresponding to the method according to any one of claims 1 to 7.

10. A computer storage medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the method according to any one of claims 1 to 7.

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