Standardized process construction system based on AIGC model

Abstract

The invention belongs to the technical field of artificial intelligence. The invention provides a standardized process construction system based on an AIGC model, and the system comprises a reference data obtaining module which determines object attribute information of a target object needing standardized process construction, and obtains processing operation information of other objects which are the same or similar according to the object attribute information; the standardized process construction module generates prompt information based on the object attribute information, and calls the AIGC model to automatically generate preliminary second standardized process information for the prompt information and the disposal operation information; and the standardized process modification module modifies the generated second standardized process information based on the modification opinion of the management personnel to obtain third standardized process information, outputs the third standardized process information to the management personnel, and stores the third standardized process information in a specified storage area based on the confirmation operation of the management personnel. According to the method, the AIGC model is utilized to realize efficient and automatic construction of the standardized process, the reasonability is higher, and the treatment accuracy of abnormal conditions can be improved.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and in particular to a standardized process construction system based on an AIGC model. Background Art

[0002] In the production management process of an enterprise, pre-constructing standardized processes for handling various abnormal situations and handling abnormal situations in a timely manner according to the standardized processes can significantly improve the efficiency of handling abnormal situations and reduce production losses. However, the existing standardized processes are basically based on the production experience of a small number of experienced production personnel, which is not necessarily the best, and this standardized process that relies entirely on production experience is obviously not suitable for new equipment and new products.

[0003] Therefore, how to further improve and optimize the standardized processes of enterprise production management is a technical problem that urgently needs to be solved. Summary of the invention

[0004] In this regard, the present invention provides a standardized process construction system, electronic device, computer storage medium and computer program product based on the AIGC model to solve the above technical problems.

[0005] The present invention discloses a standardized process construction system based on an AIGC model, the system comprising a reference data acquisition module, a standardized process construction module, and a standardized process modification module; wherein the reference data acquisition module is used to determine the object attribute information of a target object that needs to be constructed with a standardized process, and obtain the disposal operation information of other identical or similar objects according to the object attribute information; wherein the disposal operation information includes disposal operation record information and first standardized process information; the standardized process construction module is used to generate prompt information based on the object attribute information, call the AIGC model to automatically generate preliminary second standardized process information for the prompt information and the disposal operation information, and output the second standardized process information to management personnel; the standardized process modification module is used to partially correct the generated second standardized process information based on the modification opinions of the management personnel, obtain third standardized process information, output the third standardized process information to the management personnel, and store the third standardized process information in a designated storage area based on the confirmation operation of the management personnel.

[0006] In some embodiments, the obtaining of the disposal operation information of other identical or similar objects based on the object attribute information includes: determining a number of identical or similar other objects based on the object attribute information, obtaining the first standardized process information of other objects of the same type, and obtaining the disposal operation record information of other objects of similar types; wherein, the obtaining of the disposal operation record information of other objects of similar types includes: determining the number of data acquisition and the time distribution length of the acquired data based on the degree of similarity between the target object and other objects of similar types, and obtaining the disposal operation record information of other objects of similar types according to the number of data acquisition and the time distribution length.

[0007] In some embodiments, the generating of prompt information based on the object attribute information includes: separating expert information of the standardized process from the object attribute information, the expert information including the number of experts and grade evaluation information of each expert, and evaluating and deriving expert capability level information based on the number of experts and the grade evaluation information; determining a refined level corresponding to the second standardized process information based on the expert capability level information and a preset relationship, and generating the prompt information based on the refined level.

[0008] In some embodiments, the expert ability level information is obtained based on the number of experts and the level evaluation information, including: inputting the number of experts and the level evaluation information into a convolutional evaluation model, and the convolutional evaluation model outputs the expert ability level information obtained by its evaluation; wherein the expert ability level information is a level value, and the higher the level value, the higher the expert ability, and vice versa.

[0009] In some embodiments, the convolutional evaluation model is trained using a distributed training method based on a consortium chain.

[0010] In some embodiments, the second standardized process information generated based on the modification opinions of the management personnel is partially modified to obtain the third standardized process information, including: performing semantic analysis on each of the modification opinions to determine its corresponding position in the second standardized process information, and locally modifying or replacing the standardized process information at the position according to the modification opinions; repeating the above steps to obtain the third standardized process information.

[0011] In some embodiments, the third standardized process information is output to the management personnel, and stored in the designated storage area based on the management personnel's confirmation operation, including: sending the third standardized process information to another group of experts for verification and confirmation, if the confirmation of the other group of experts is received, then: outputting the third standardized process information to the management personnel, and storing in the designated storage area based on the management personnel's confirmation operation.

[0012] The present invention also discloses an electronic device, which is applied to a standardized process construction system based on an AIGC model as described in any of the preceding items, comprising: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor.

[0013] The present invention also discloses a computer storage medium, which is applied to a standardized process construction system based on an AIGC model as described in any of the preceding items, and the computer-readable storage medium stores a computer program.

[0014] The present invention also discloses a computer program product, which is applied to a standardized process construction system based on an AIGC model as described in any of the preceding items; the computer program product includes executable computer program code.

[0015] The beneficial effects of the present invention are as follows: the scheme of the present invention can utilize the AIGC model to realize the automatic construction of standardized processes, and the construction efficiency of standardized processes is very high; on the other hand, the standardized processes constructed by the present invention refer to more disposal operation information of other identical or similar objects, which is more reasonable and conducive to improving the accuracy of handling abnormal situations. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 It is a structural diagram of a standardized process construction system based on the AIGC model disclosed in an embodiment of the present invention.

[0018] Figure 2 It is a schematic diagram of data processing of a standardized process construction system based on an AIGC model disclosed in an embodiment of the present invention.

[0019] Figure 3 It is a structural schematic diagram of an electronic device disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0020] The following is a description of the implementation of the present application by specific specific embodiments. People familiar with the technology can easily understand other advantages and effects of the present application from the contents disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0021] In addition, the technical features involved in the different embodiments of the present application described below can be combined with each other as long as they do not conflict with each other.

[0022] like Figure 1 , Figure 2 As shown, an embodiment of the present invention discloses a standardized process construction system based on an AIGC model, the system comprising a reference data acquisition module, a standardized process construction module, and a standardized process modification module; wherein the reference data acquisition module is used to determine the object attribute information of the target object that needs to be constructed with a standardized process, and obtain the disposal operation information of other identical or similar objects according to the object attribute information; wherein the disposal operation information includes disposal operation record information and first standardized process information; the standardized process construction module is used to generate prompt information based on the object attribute information, call the AIGC model to automatically generate preliminary second standardized process information for the prompt information and the disposal operation information, and output the second standardized process information to the management personnel; the standardized process modification module is used to perform partial corrections on the generated second standardized process information based on the modification opinions of the management personnel, obtain third standardized process information, output the third standardized process information to the management personnel, and store it in a designated storage area based on the confirmation operation of the management personnel.

[0023] In the above technical solution, the standardized process construction system of the present invention uses the AIGC model to realize the automatic construction of the standardized process. Specifically: first, the target object for which the standardized process needs to be formulated this time is determined by referring to the data acquisition module, and the object attribute information including the equipment type, equipment purpose, equipment model, etc. is obtained, and the disposal operation information of the same or similar other objects is obtained in the multi-source acquisition path according to its object attribute information, including the disposal operation record information and the first standardized process information. Then, the standardized process construction module first generates prompt information based on the object attribute information, and then calls the AIGC model. Under the constraint of the prompt information, the AIGC model processes the disposal operation information to realize the automatic generation of preliminary second standardized process information, and outputs the second standardized process information to the management personnel for verification by the management personnel. If there is any unreasonable place, the management personnel will enter the relevant opinion information in the interactive interface. Finally, the standardized process modification module partially modifies the generated second standardized process information based on the modification opinions of the management personnel, so as to obtain the final third standardized process information. The third standardized process information is output to the management personnel on the one hand, and can be automatically stored in the designated storage area after the management personnel confirms it for subsequent use.

[0024] The solution of the present invention can utilize the AIGC model to realize the automatic construction of standardized processes, and the construction efficiency of standardized processes is very high; on the other hand, the standardized processes constructed by the present invention refer to more disposal operation information of other identical or similar objects, which is more reasonable and conducive to improving the accuracy of handling abnormal situations.

[0025] AIGC is the abbreviation of "Artificial Intelligence Generated Content" in English, which means "artificial intelligence generated content" in Chinese. This is a relatively new concept, which refers to the use of artificial intelligence technology to create or generate various types of digital content, such as text, images, audio, video, etc. The advantage of AIGC lies in its efficiency and innovation. Compared with traditional manual creation methods, AIGC can greatly shorten the time of content creation and improve production efficiency. At the same time, because artificial intelligence has powerful data processing and analysis capabilities, it can generate more personalized and diversified content to meet the needs of different users. The present invention uses AIGC to automatically generate preliminary standardized process information.

[0026] In some embodiments, the obtaining of the disposal operation information of other identical or similar objects based on the object attribute information includes: determining a number of identical or similar other objects based on the object attribute information, obtaining the first standardized process information of other objects of the same type, and obtaining the disposal operation record information of other objects of similar types; wherein, the obtaining of the disposal operation record information of other objects of similar types includes: determining the number of data acquisition and the time distribution length of the acquired data based on the degree of similarity between the target object and other objects of similar types, and obtaining the disposal operation record information of other objects of similar types according to the number of data acquisition and the time distribution length.

[0027] In an embodiment of the present invention, the AIGC model of the present invention generates preliminary standardized process information by referring to the disposal operation information of the same or similar other objects. In specific implementation, if some other object and the target object are the same object, such as a device of the same brand and the same model, the ready-made first standardized process information of the other object is directly obtained; and if some other object and the target object are similar objects, such as a device of the same brand but different models, or a device of different brands but the same purpose and function, the disposal operation record information of these devices is obtained, and the disposal operation record information refers to the historical record of the actual disposal methods taken by the staff when various types of abnormal situations occur in similar other objects.

[0028] In addition, for the first standardized process information of other objects of the same type (similarity 100%), only one piece can be obtained, and of course, several pieces can be obtained to cope with the fine-tuning of the first standardized process information. For the disposal operation record information of other objects of similar types, it is necessary to determine the appropriate number of acquisitions, so as to ensure that the AIGC model extracts accurate and effective information from it. Specifically: first calculate the similarity between the target object and the other object (for example, 75%, 80%), and determine the number of data acquisitions and the time distribution length of the acquired data according to the similarity, where the number of data acquisitions is, for example, 100 or 200, and the time distribution length of the data refers to the time between the earliest data and the latest data in the acquired data, for example, 6 months or 12 months. Such a setting can ensure that the amount of data acquired is within a reasonable range, and the time distribution of the acquired data is also within a reasonable range, because the standardized process information will undergo some slow changes due to actual production. For example, the original disposal method for a certain abnormal situation of device A is to shut down device A. Later, it is found that the abnormal situation of device A can be solved by reducing the load of device B. At this time, the standardized process information will be modified. In short, the higher the similarity, the more corresponding data items are obtained and the longer the time distribution length is.

[0029] Therefore, by acquiring the disposal operation record information of similar equipment within a reasonable range, the AIGC model can perform semantic analysis on more diverse data, thereby obtaining more appropriate standardized process information. For example, the above changes in the abnormal disposal of equipment A can guide the AIGC model to tend to find a milder disposal process when determining the standard disposal process for other abnormal situations.

[0030] It should be noted that the degree of similarity between the target object and other objects can be evaluated and calculated based on preset rules. The preset rules at least include the evaluation method and evaluation result weight corresponding to the brand, model, function, purpose and specific parameters (power, size, etc.), which will not be elaborated in detail.

[0031] In some embodiments, the generating of prompt information based on the object attribute information includes: separating expert information of the standardized process from the object attribute information, the expert information including the number of experts and grade evaluation information of each expert, and evaluating and deriving expert capability level information based on the number of experts and the grade evaluation information; determining a refined level corresponding to the second standardized process information based on the expert capability level information and a preset relationship, and generating the prompt information based on the refined level.

[0032] In an embodiment of the present invention, before the AIGC model processes the handling operation information to generate the second standardized process information, it is also necessary to determine prompt information for guiding the AIGC model to generate a standardized process. The prompt information mainly includes the level of refinement corresponding to the generated second standardized process information. The higher the level of refinement, the more detailed the handling process for each abnormal situation in the generated second standardized process information; the lower the level of refinement, the rougher the handling process for each abnormal situation in the generated second standardized process information. For example, for a high level of refinement, the generated second standardized process information is "reduce the operating power of device A, and shut down several devices including B, C, D, and E"; for a low level of refinement, the generated second standardized process information is "reduce the operating power of device A, and shut down multiple downstream devices related to device A."

[0033] The reason for the present invention to be set up in this way is that: when the expert capability level of the manufacturer of the target device is evaluated to be higher, the preliminary second standardized process information generated by the AIGC model is set to be more concise, and more detailed information can be supplemented by the expert; and when the expert capability level of the manufacturer of the target device is evaluated to be lower, the expert's ability to supplement is insufficient, and at this time, the preliminary second standardized process information generated by the AIGC model is set to be more detailed, and the expert only needs to identify the error situation in the detailed standardized process, which can reduce the degree of requirement for the expert to supplement the details. Obviously, in the preset relationship, the expert capability level information is negatively correlated with the level of refinement of the second standardized process information.

[0034] The expert capability level information is obtained by comprehensive evaluation based on the number of experts and the level evaluation information of each expert. The expert level evaluation information can be obtained by comprehensive evaluation based on the expert's abnormal handling experience, professional title level, other technical titles, etc. The comprehensive evaluation can be automatically evaluated by the model or pre-evaluated by the reviewer based on the scoring table. The present invention is not specifically limited.

[0035] In some embodiments, the expert ability level information is obtained based on the number of experts and the level evaluation information, including: inputting the number of experts and the level evaluation information into a convolutional evaluation model, and the convolutional evaluation model outputs the expert ability level information obtained by its evaluation; wherein the expert ability level information is a level value, and the higher the level value, the higher the expert ability, and vice versa.

[0036] In the embodiment of the present invention, the present invention further pre-constructs a convolutional evaluation model, for example, based on AlexNet, MobileNet, ResNet, etc. The convolutional evaluation model can classify the number of input experts and each level evaluation information, so as to obtain the overall ability of the expert team of the manufacturer. The expert ability level information is a level value, and the higher the level value, the higher the expert ability, and vice versa.

[0037] In some embodiments, the convolutional evaluation model is trained using a distributed training method based on a consortium chain.

[0038] In an embodiment of the present invention, in order to ensure the evaluation and classification capabilities of the convolutional evaluation model, the present invention uses a distributed training method to pre-train the convolutional evaluation model before use. Specifically, the convolutional evaluation model is published on the alliance chain, which is a distributed network system based on blockchain technology and smart contracts and jointly maintained by multiple organizations. The present invention uses each organization node in the alliance chain to train the convolutional evaluation model separately, and then feeds back the key model parameters in the trained convolutional evaluation model to the local organization node, which performs fusion processing on the key model parameters, that is, obtains preliminary key model parameters, and constructs a preliminary convolutional evaluation model based on the preliminary key model parameters. Finally, the local organization node uses the training data to perform local training on the preliminary convolutional evaluation model until the training meets the standards.

[0039] In some embodiments, the second standardized process information generated based on the modification opinions of the management personnel is partially modified to obtain the third standardized process information, including: performing semantic analysis on each of the modification opinions to determine its corresponding position in the second standardized process information, and locally modifying or replacing the standardized process information at the position according to the modification opinions; repeating the above steps to obtain the third standardized process information.

[0040] In an embodiment of the present invention, after receiving multiple modification opinions from managers, since the modification opinions may not be directly marked at the corresponding positions in the second standardized process information, for example, they are filled in a modification opinion document. Therefore, the present invention first uses a semantic analysis model to perform semantic analysis on each modification opinion to determine which standardized process information in the second standardized process information the modification opinion is for, that is, to determine the corresponding position of the modification opinion. Then, based on the above-mentioned position correspondence, the standardized process information at each position in the second standardized process information is automatically partially corrected, and the local correction includes modification or replacement.

[0041] In some embodiments, the third standardized process information is output to the management personnel, and stored in the designated storage area based on the management personnel's confirmation operation, including: sending the third standardized process information to another group of experts for verification and confirmation, if the confirmation of the other group of experts is received, then: outputting the third standardized process information to the management personnel, and storing in the designated storage area based on the management personnel's confirmation operation.

[0042] In the embodiment of the present invention, the present invention divides the experts into two groups, one group is used to put forward modification opinions so that the standardized process modification module can partially modify the second standardized process information initially generated; and the other group of experts is responsible for re-verifying and confirming the third standardized process information after the partial modification. If there are no defects or errors, the third standardized process information is output to the manager of the standardized process, and stored in the designated storage area based on the confirmation operation of the manager. The formulated standardized process can be executed in the subsequent production management, that is, when an abnormal situation occurs, the relevant response methods and response sequence are sought from the standardized process to ensure the normal operation of production or reduce losses.

[0043] Moreover, by using two groups of experts to conduct the final generation of the standardized process, the probability of the occurrence of a situation where the wrong opinions of some experts (such as inexperienced experts) lead to local errors in the standardized process can be reduced.

[0044] like Figure 3 As shown, an embodiment of the present invention also discloses an electronic device, which is applied to a standardized process construction system based on an AIGC model as described in any of the preceding items, comprising: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor.

[0045] An embodiment of the present invention further discloses a computer storage medium, which is applied to a standardized process construction system based on an AIGC model as described in any of the preceding items, and the computer-readable storage medium stores a computer program.

[0046] An embodiment of the present invention further discloses a computer program product, which is applied to a standardized process construction system based on an AIGC model as described in any of the preceding items; the computer program product includes executable computer program code.

[0047] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0048] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0049] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0050] The above description is only a preferred embodiment of the present invention and is not intended to limit the protection scope of the present invention.

Claims

1. A standardized process construction system based on the AIGC model, characterized by: The system includes a reference data acquisition module, a standardized process construction module, and a standardized process modification module; wherein the reference data acquisition module is used to determine the object attribute information of the target object that needs to be constructed with a standardized process, and obtain the disposal operation information of other identical or similar objects based on the object attribute information; wherein the disposal operation information includes disposal operation record information and first standardized process information; the standardized process construction module is used to generate prompt information based on the object attribute information, call the AIGC model to automatically generate preliminary second standardized process information for the prompt information and the disposal operation information, and output the second standardized process information to the management personnel; the standardized process modification module is used to make partial corrections to the generated second standardized process information based on the modification opinions of the management personnel, obtain third standardized process information, output the third standardized process information to the management personnel, and store it in a designated storage area based on the confirmation operation of the management personnel.

2. A standardized process construction system based on the AIGC model according to claim 1, characterized in that: The method of obtaining the disposal operation information of other identical or similar objects according to the object attribute information includes: determining a number of identical or similar other objects according to the object attribute information, obtaining the first standardized process information of other objects of the same type, and obtaining the disposal operation record information of other objects of similar types; wherein, the method of obtaining the disposal operation record information of other objects of similar types includes: determining the number of data acquisition and the time distribution length of the acquired data according to the degree of similarity between the target object and other objects of similar types, and obtaining the disposal operation record information of other objects of similar types according to the number of data acquisition and the time distribution length.

3. A standardized process construction system based on the AIGC model according to claim 2, characterized in that: The generating of prompt information based on the object attribute information includes: separating expert information of the standardized process from the object attribute information, the expert information including the number of experts and grade evaluation information of each expert, and evaluating and obtaining expert capability level information according to the number of experts and the grade evaluation information; determining a fine level corresponding to the second standardized process information according to the expert capability level information and a preset relationship, and generating the prompt information according to the fine level.

4. A standardized process construction system based on the AIGC model according to claim 3, characterized in that: The expert ability level information is obtained by evaluating the number of experts and the level evaluation information, comprising: inputting the number of experts and the level evaluation information into a convolutional evaluation model, and the convolutional evaluation model outputs the expert ability level information obtained by the evaluation; wherein the expert ability level information is a level value, and the higher the level value, the higher the expert ability, and vice versa.

5. A standardized process construction system based on the AIGC model according to claim 4, characterized in that: The convolutional evaluation model is trained using a distributed training method based on a consortium chain.

6. A standardized process construction system based on the AIGC model according to claim 5, characterized in that: The second standardized process information generated based on the modification opinions of the management personnel is partially modified to obtain the third standardized process information, including: performing semantic analysis on each of the modification opinions to determine its corresponding position in the second standardized process information, and locally modifying or replacing the standardized process information at the position according to the modification opinions; repeating the above steps to obtain the third standardized process information.

7. A standardized process construction system based on the AIGC model according to claim 6, characterized in that: The third standardized process information is output to the management personnel and stored in the designated storage area based on the management personnel's confirmation operation, including: sending the third standardized process information to another group of experts for verification and confirmation, and if confirmation is received from the other group of experts, then: outputting the third standardized process information to the management personnel and storing it in the designated storage area based on the management personnel's confirmation operation.

8. An electronic device, characterized in that: A standardized process construction system based on an AIGC model as described in any one of claims 1 to 7 comprises: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor.

9. A computer storage medium, characterized in that: Applied to a standardized process construction system based on an AIGC model as described in any one of claims 1 to 7, the computer-readable storage medium stores a computer program.

10. A computer program product, characterized in that: Applied to a standardized process construction system based on the AIGC model as described in any one of claims 1 to 7; the computer program product includes executable computer program code.

Images