Enterprise management method, device and equipment based on digital transformation and storage medium

Abstract

The invention discloses an enterprise management method and device based on digital transformation, equipment and a storage medium, and relates to the technical field of data processing, and the method comprises the steps: carrying out the multi-dimensional analysis of the current enterprise management information, and generating a target production binding unit and the actual production state of the equipment according to the information multi-dimensional analysis result; a digital transformation strategy is generated according to the target production binding unit, the actual production state of the equipment and the enterprise management willing information, and production of a target enterprise is managed according to a digital transformation framework and a digital transformation process; through the mode, the actual production state of the target production binding unit and the equipment is determined through multi-dimensional analysis, then the digital transformation strategy is generated in combination with the enterprise management willing information, the accuracy of generating the digital transformation strategy can be effectively improved, and then production management is performed according to the digital content included in the digital transformation strategy, so that the production efficiency is improved. Therefore, the accuracy and efficiency of enterprise management can be effectively improved, and the digital transformation cost is reduced.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to enterprise management methods, devices, equipment and storage media based on digital transformation. Background Art

[0002] With the rapid development of digital technology, digital technology has attracted widespread attention from the society. In order to build new competitive advantages, a trend of digital transformation has emerged at the enterprise level, and the traditional non-digital enterprise management method is no longer suitable for enterprises that integrate manufacturing and technology. For this reason, the current commonly used enterprise management method for digital transformation is comprehensive digital transformation, overthrowing all equipment architectures and production processes. However, enterprise management in this way will take too long. For example, designing new architectures and production processes, and the new architectures and production processes require a lot of time to adapt and train managers, resulting in low accuracy and efficiency of the transformed management of the enterprise.

[0003] The above contents are only used to assist in understanding the technical solution of the present application and do not constitute an admission that the above contents are prior art. Summary of the invention

[0004] The main purpose of this application is to provide an enterprise management method, device, equipment and storage medium based on digital transformation, aiming to solve the technical problems of low accuracy and efficiency of the existing technology in managing enterprises after transformation.

[0005] To achieve the above objectives, this application proposes an enterprise management method based on digital transformation, which includes: Obtain the target enterprise's corporate management vision information and current corporate management information; Perform multi-dimensional analysis on the current enterprise management information, and generate target production binding units and actual production status of equipment according to the multi-dimensional analysis results of the information; Generate a digital transformation strategy according to the target production binding unit, the actual production status of the equipment, and the enterprise management vision information, wherein the digital transformation strategy includes a digital transformation framework and a digital transformation process; The production of the target enterprise is managed according to the digital transformation framework and the digital transformation process.

[0006] In one embodiment, the step of performing a multi-dimensional analysis on the current enterprise management information and generating a target production binding unit and an actual production status of the equipment according to the multi-dimensional analysis result of the information includes: Cleaning the current enterprise management information, and standardizing the cleaned enterprise management information to obtain target enterprise management information; Classify the target enterprise management information to obtain equipment production information and product circulation information; Inputting the equipment production information into a target production status prediction model, and obtaining the actual production status of the equipment output by the target production status prediction model; Obtaining the location information and data output flow direction of each device, and setting the location coordinates according to the location information; Generate a device network topology diagram according to the location coordinates and the data output flow direction; A target production binding unit is generated according to the device network topology diagram and the device log file.

[0007] In one embodiment, the step of generating a target production binding unit according to the device network topology diagram and the device log file includes: Obtaining log information of each device at different times, and generating device log files according to the log information; Set up a correlation detection data packet based on device characteristic information; Transmitting the association detection data packet based on the device network topology diagram to obtain data packet transmission information; Classifying the device log files to obtain system log files and network log files; determining a first association between devices according to the data packet transmission information and the network log file; Performing log analysis on the system log file to obtain a second correlation between the devices; Determining a set of devices having a strong association according to the first association and the second association; A target production binding unit is generated according to the set of devices having a strong association.

[0008] In one embodiment, the step of generating a digital transformation strategy according to the target production binding unit, the actual production status of the equipment, and the enterprise management vision information includes: Determine the digital transformation goals of enterprise management based on the enterprise management vision information; Determine the direction of enterprise management digital transformation according to the current enterprise management information and the enterprise management digital transformation goal; Obtain the overall production information of the target enterprise; Determine a single production unit according to the overall production information and the target production binding unit; Performing intelligent detection on the single production unit to obtain a current intelligent characteristic value; When the current intelligent feature value is less than a preset feature threshold, a digital transformation strategy is generated according to the single production unit, the enterprise management digital transformation direction, and the actual production status of the equipment.

[0009] In one embodiment, when the current intelligent feature value is less than a preset feature threshold, the step of generating a digital transformation strategy according to the single production unit, the enterprise management digital transformation direction, and the actual production status of the equipment includes: When the current intelligent feature value is less than a preset feature threshold, performing a qualified detection on the actual production status of the equipment; When the qualified test results do not meet the preset requirements, the production information of the target production binding unit within the preset time period is determined according to the digital transformation direction of enterprise management; Determine the actual reason for not meeting the preset requirements based on the production information; Determine the digital transformation goal of equipment replacement based on the actual reasons and the digital transformation direction of enterprise management; Determine the equipment intelligent digital transformation goal according to the single production unit and the enterprise management digital transformation direction; Performing functional testing on the equipment replacement digital transformation goal and the equipment intelligence digital transformation goal, and performing architectural testing on the equipment replacement digital transformation goal and the equipment intelligence digital transformation goal; Generate a digital transformation strategy based on the target function test results and architecture test results.

[0010] In one embodiment, the step of managing the production of the target enterprise according to the digital transformation framework and the digital transformation process includes: Conduct a comprehensive assessment of the digital transformation framework and the digital transformation process; When the current evaluation results meet the preset digital transformation requirements, obtain the current production order information and historical production information of the target enterprise; Determine the emergency production cycle and the emergency production start time according to the historical production information and the current production order information; Determine a non-emergency production cycle according to the current time and the initial time of the emergency production; When the non-emergency production cycle is shorter than the emergency production cycle and the current moment is earlier than the emergency production initial moment, optimizing the production framework of the target enterprise according to the digital transformation framework, and optimizing the production process of the target enterprise according to the digital transformation process; A target production management strategy is generated according to the optimized production framework and production process, and the production of the target enterprise is managed based on the target generated management strategy.

[0011] In addition, to achieve the above objectives, the present application also proposes an enterprise management device based on digital transformation, and the enterprise management device based on digital transformation includes: An acquisition module is used to acquire the enterprise management vision information and current enterprise management information of the target enterprise; A multi-dimensional analysis module, used to perform a multi-dimensional analysis on the current enterprise management information, and generate a target production binding unit and an actual production status of the equipment according to the multi-dimensional analysis results of the information; A generation module, used to generate a digital transformation strategy according to the target production binding unit, the actual production status of the equipment and the enterprise management vision information, wherein the digital transformation strategy includes a digital transformation framework and a digital transformation process; A management module is used to manage the production of the target enterprise according to the digital transformation framework and the digital transformation process.

[0012] In addition, to achieve the above-mentioned objectives, the present application also proposes an enterprise management device based on digital transformation, the device comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, the computer program being configured to implement the steps of the enterprise management method based on digital transformation as described above.

[0013] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the enterprise management method based on digital transformation as described above are implemented.

[0014] In addition, to achieve the above-mentioned objectives, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, it implements the steps of the enterprise management method based on digital transformation as described above.

[0015] One or more technical solutions proposed in the present application have at least the following technical effects: by obtaining the enterprise management vision information and current enterprise management information of the target enterprise; performing a multi-dimensional analysis on the current enterprise management information, and generating a target production binding unit and the actual production status of the equipment according to the results of the multi-dimensional analysis of the information; generating a digital transformation strategy according to the target production binding unit, the actual production status of the equipment and the enterprise management vision information, wherein the digital transformation strategy includes a digital transformation framework and a digital transformation process; managing the production of the target enterprise according to the digital transformation framework and the digital transformation process; through the above method, after a multi-dimensional analysis of the current enterprise management information, determining the target production binding unit and the actual production status of the equipment, and then generating a digital transformation strategy in combination with the enterprise management vision information, the accuracy of the generated digital transformation strategy can be effectively improved, and then production management can be performed according to the digital content included in the digital transformation strategy, thereby effectively improving the accuracy and efficiency of managing the enterprise, and reducing the cost of digital transformation. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0017] In order to more clearly illustrate the embodiments of the present application 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, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0018] Figure 1 A flowchart of the first embodiment of the enterprise management method based on digital transformation provided by this application; Figure 2 A flowchart diagram of the second embodiment of the enterprise management method based on digital transformation provided for this application; Figure 3 A schematic diagram of the overall structure of the enterprise management method based on digital transformation provided in Example 2 of the present application; Figure 4 This is a schematic diagram of the module structure of an enterprise management device based on digital transformation according to an embodiment of the present application; Figure 5 This is a schematic diagram of the device structure of the hardware operating environment involved in the enterprise management method based on digital transformation in an embodiment of the present application.

[0019] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0020] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device capable of realizing the above functions, an enterprise management system, etc. The following takes the enterprise management system as an example to illustrate this embodiment and the following embodiments.

[0021] Based on this, the embodiment of the present application provides an enterprise management method based on digital transformation, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the enterprise management method based on digital transformation of this application.

[0022] In this embodiment, the enterprise management method based on digital transformation includes steps S10 to S40: Step S10, obtaining the enterprise management vision information and current enterprise management information of the target enterprise.

[0023] It should be noted that the target enterprise refers to an enterprise that integrates manufacturing and technology and needs to undergo digital transformation. The enterprise management vision information refers to the information that the target enterprise managers expect to use digital transformation to manage the enterprise with optimal performance. The target management vision information includes intelligent dimensions, low-cost dimensions, and partial transformation dimensions. The current enterprise management information refers to the relevant information of the target enterprise managers in managing the enterprise before the transformation, such as management time, management processes, and equipment production information. Both the enterprise management vision information and the current enterprise management information can be sent through the target enterprise's external communication terminal.

[0024] Step S20, performing a multi-dimensional analysis on the current enterprise management information, and generating a target production binding unit and an actual production status of the equipment according to the multi-dimensional analysis result of the information.

[0025] It can be understood that the target production binding unit refers to the smallest unit that is inseparable during production. The target production binding unit can be composed of multiple production equipment. There is a strong correlation between the multiple production equipment. The actual production status of the equipment refers to the actual production status of the equipment at the current moment. The actual production status of the equipment includes but is not limited to high-speed production status, low-speed production status, standby status and debugging status, etc., wherein the high or low speed of the production status can be measured by percentage. For example, when the percentage of the current speed of the equipment to the rated speed is greater than 90%, it indicates that the actual production status of the equipment is a high-speed production status. When the percentage of the current speed of the equipment to the rated speed is less than 50%, it indicates that the actual production status of the equipment is a low-speed production status.

[0026] It should be noted that the current multi-dimensional analysis of enterprise management information includes but is not limited to the flow dimension, coordinate dimension and correlation dimension, among which the analysis of the flow dimension is to determine the actual production status of the equipment, and the analysis of the coordinate dimension and the correlation dimension is to generate the target production binding unit.

[0027] Step S30, generating a digital transformation strategy according to the target production binding unit, the actual production status of the equipment, and the enterprise management vision information, wherein the digital transformation strategy includes a digital transformation framework and a digital transformation process.

[0028] It should be understood that the digital transformation strategy refers to the strategy for digital transformation of the target enterprise. The digital transformation strategy includes a digital transformation framework and a digital transformation process. The digital transformation framework is used to digitally transform part of the target enterprise's entire management structure, and the digital transformation process is used to digitally transform part of the target enterprise's entire production process, so that managers of the target enterprise can quickly adapt and manage, thereby effectively improving management efficiency.

[0029] Further, step S30 includes: determining the enterprise management digital transformation goal based on the enterprise management vision information; determining the enterprise management digital transformation direction based on the current enterprise management information and the enterprise management digital transformation goal; obtaining the overall production information of the target enterprise; determining a single production unit based on the overall production information and the target production binding unit; performing intelligent detection on the single production unit to obtain a current intelligent feature value; when the current intelligent feature value is less than a preset feature threshold, generating a digital transformation strategy based on the single production unit, the enterprise management digital transformation direction and the actual production status of the equipment.

[0030] It can be understood that the goal of digital transformation of enterprise management refers to the transformation goal that needs to be achieved after digital transformation, and then the direction of digital transformation of enterprise management is determined in combination with current enterprise management information. The overall production information refers to the production information of the target enterprise from raw materials to products, and then the single production unit is determined in combination with the target production binding unit. Among them, a single production unit refers to a production unit that is not equipment bound. Specifically, the overall production information and the target production binding unit are used to perform unit screening to obtain a single production unit.

[0031] It should be understood that the current intelligent characteristic value refers to the intelligent characteristic value of a single production unit. The higher the current intelligent characteristic value, the smarter the single production unit. When it is determined that the current intelligent characteristic value is less than the preset characteristic threshold, it indicates that the single production unit may be completed by manual technology or conventional equipment and manual technology. In order to effectively improve the efficiency and intelligent development of the target enterprise's production, it is necessary to generate a digital transformation strategy in combination with the direction of digital transformation of enterprise management and the actual production status of the equipment.

[0032] Furthermore, the step of generating a digital transformation strategy according to the single production unit, the enterprise management digital transformation direction and the actual production status of the equipment when the current intelligent feature value is less than the preset feature threshold includes: when the current intelligent feature value is less than the preset feature threshold, performing a qualified inspection on the actual production status of the equipment; when the qualified inspection result does not meet the preset requirements, determining the production information of the target production binding unit within a preset time period according to the enterprise management digital transformation direction; determining the actual reason for not meeting the preset requirements according to the production information; determining the equipment replacement digital transformation goal according to the actual reason and the enterprise management digital transformation direction; determining the equipment intelligent digital transformation goal according to the single production unit and the enterprise management digital transformation direction; performing function inspection on the equipment replacement digital transformation goal and the equipment intelligent digital transformation goal, and performing architecture inspection on the equipment replacement digital transformation goal and the equipment intelligent digital transformation goal; generating a digital transformation strategy according to the target function inspection results and the architecture inspection results.

[0033] It should be understood that in order to effectively carry out comprehensive digital transformation, after determining that the current intelligent feature value is less than the preset feature threshold, further qualification testing is required, that is, determining whether the qualified test results of the actual production status of the equipment meet the preset requirements. If not, it indicates that there is an abnormality in the actual production status of the equipment. At this time, in order to reduce the cost of digital transformation, it is necessary to further determine the actual reason why the preset requirements are not met in the target production binding unit. For example, the actual reason may be a hardware failure of the equipment, which requires replacement.

[0034] It is understandable that when it is determined that the current intelligent feature value is less than the preset feature threshold, it indicates that the single production unit is not intelligent enough. At this time, the equipment intelligent digital transformation goal can be determined in combination with the direction of enterprise management digital transformation. At this time, the final digital transformation strategy is further generated from the two dimensions of equipment replacement digital transformation goal and equipment intelligent digital transformation goal. That is, functional detection is performed to determine the role of a single device or the role of a bound device collection. At the same time, architecture detection is also performed to determine the architecture for equipment replacement or intelligent transformation, and then a digital transformation strategy is generated based on the target functional detection results and architecture detection results.

[0035] Step S40: managing the production of the target enterprise according to the digital transformation framework and the digital transformation process.

[0036] It is understandable that after determining the digital transformation strategy, the digital transformation framework and digital transformation process included in the digital transformation strategy can be used to manage the production of the target enterprise, thereby effectively improving the efficiency and accuracy of production management.

[0037] Further, step S40 includes: conducting a comprehensive evaluation of the digital transformation framework and the digital transformation process; when the current evaluation result meets the preset digital transformation requirements, obtaining the current production order information and historical production information of the target enterprise; determining the emergency production cycle and the emergency production initial moment according to the historical production information and the current production order information; determining the non-emergency production cycle according to the current moment and the emergency production initial moment; when the non-emergency production cycle is less than the emergency production cycle and the current moment is earlier than the emergency production initial moment, optimizing the production framework of the target enterprise according to the digital transformation framework, and optimizing the production process of the target enterprise according to the digital transformation process; generating a target production management strategy according to the optimized production framework and production process, and managing the production of the target enterprise based on the target generated management strategy.

[0038] It should be understood that in order to further ensure the accuracy of digital transformation, after obtaining the digital transformation framework and digital transformation process, it is necessary to conduct a comprehensive evaluation of the above-mentioned digital parameters respectively, and then determine whether the current evaluation results meet the preset digital transformation requirements. If so, it is also necessary to consider whether the digital transformation will affect the actual production orders of the target enterprise. Therefore, after determining the emergency production cycle and the initial moment of emergency production, the non-emergency production cycle will be further determined, and then it will be determined whether the non-emergency production cycle is less than the emergency production cycle and whether the current moment is earlier than the initial moment of emergency production. If all the above conditions are met, it means that it will not affect the actual production orders of the target enterprise. Therefore, the production framework of the target enterprise can be optimized according to the digital transformation framework, and the production process of the target enterprise can be optimized according to the digital transformation process.

[0039] It should be noted that if any of the above conditions is not met, digital transformation at this time will affect the actual production orders of the target enterprise. Therefore, it is necessary to determine the end time of emergency production based on the initial time of emergency production and the non-emergency production cycle, and optimize the production framework and production process of the target enterprise after the end time of emergency production and when there are no other emergency orders. After the optimization, generate the target production management strategy based on the optimized production framework and production process, and manage the production of the target enterprise based on the target generated management strategy.

[0040] This embodiment obtains the enterprise management vision information and current enterprise management information of the target enterprise; performs a multi-dimensional analysis on the current enterprise management information, and generates a target production binding unit and the actual production status of the equipment according to the results of the multi-dimensional analysis of the information; generates a digital transformation strategy according to the target production binding unit, the actual production status of the equipment and the enterprise management vision information, wherein the digital transformation strategy includes a digital transformation framework and a digital transformation process; manages the production of the target enterprise according to the digital transformation framework and the digital transformation process; in the above manner, after a multi-dimensional analysis of the current enterprise management information, the target production binding unit and the actual production status of the equipment are determined, and then the digital transformation strategy is generated in combination with the enterprise management vision information, which can effectively improve the accuracy of the generated digital transformation strategy, and then perform production management according to the digital content included in the digital transformation strategy, thereby effectively improving the accuracy and efficiency of managing the enterprise and reducing the cost of digital transformation.

[0041] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction, and will not be repeated in the following. Figure 2 , step S20 includes steps S201 to S206: Step S201, clean the current enterprise management information, and standardize the cleaned enterprise management information to obtain target enterprise management information.

[0042] It should be noted that in order to ensure the efficiency of generating the target production binding unit and the actual production status of the equipment, the current enterprise management information is cleaned to eliminate the erroneous information and fill in the missing information in the current enterprise management information, and then the cleaned enterprise management information is standardized to ensure the standardization of the enterprise management information.

[0043] Step S202, classify the target enterprise management information to obtain equipment production information and product circulation information.

[0044] It should be understood that after obtaining the target enterprise management information, it is necessary to extract features of the target enterprise management information to obtain feature information of different types of information, and then classify the target enterprise management information according to the feature information to obtain equipment production information and product flow information.

[0045] Step S203: input the equipment production information into a target production status prediction model, and obtain the actual production status of the equipment output by the target production status prediction model.

[0046] It can be understood that the target production status prediction model refers to a model used to predict the production status of equipment. The target production status prediction model can be trained using a long short-term memory network and a gated recurrent unit. After obtaining the equipment production information, the equipment production information is input into the target production status prediction model, which performs prediction and outputs the actual production status of the equipment corresponding to the equipment production information.

[0047] Step S204, obtaining the location information and data output direction of each device, and setting the location coordinates according to the location information.

[0048] It should be understood that the location information refers to the relevant information of the location of each device. The representation of the location information can be described based on the device for processing raw materials. The data output flow direction refers to the flow direction of the data at the output end of each device. For example, the data output flow direction of the first device is the first device → the second device. After determining the location information, a path search is performed to determine the distance between each device and the device for processing raw materials. Then, the horizontal distance and the vertical distance are calculated in combination with the angle, and the location coordinates are set using the horizontal distance and the vertical distance, specifically: .

[0049] in, Indicates the distance between the equipment and the equipment that processes the raw materials. It represents the angle between the equipment and the equipment that processes the raw materials. represents the horizontal distance, Indicates the vertical distance.

[0050] Step S205: generating a device network topology diagram according to the location coordinates and the data output flow direction.

[0051] It can be understood that after determining the location coordinates, the location coordinates and the data output flow direction are input together into the topology diagram generation template, and the topology diagram generation template connects the location coordinates of each device in sequence according to the data output flow direction to generate a device network topology diagram.

[0052] Step S206: Generate a target production binding unit according to the device network topology diagram and the device log file.

[0053] It should be understood that the device log file refers to a file generated by the log information generated by each device during operation. After obtaining the device network topology diagram, the target production binding unit is generated in combination with the device log file.

[0054] Furthermore, step S206 includes: obtaining log information of each device at different times, and generating a device log file based on the log information; setting a correlation detection data packet according to device characteristic information; transmitting the correlation detection data packet based on the device network topology diagram to obtain data packet transmission information; classifying the device log files to obtain system log files and network log files; determining a first correlation between each device based on the data packet transmission information and the network log file; performing log analysis on the system log file to obtain a second correlation between each device; determining a set of devices with strong correlation based on the first correlation and the second correlation; and generating a target production binding unit based on the set of devices with strong correlation.

[0055] It can be understood that the association detection data packet refers to a data packet used to detect the association between various devices. When setting the association detection data packet, the association detection data packet is input according to the device network topology diagram and the association detection data packet is transmitted by each device. Since the network will also affect the transmission of the association detection data packet, it is necessary to combine the data packet transmission information and the network log file to determine the first association between various devices. In addition, this embodiment also considers the association between devices from the system log file, that is, the second association between various devices is determined by log analysis. In order to effectively improve the accuracy of generating the target production binding unit, a set of devices with strong association is determined from the multi-dimensional first association and second association, and then the set of devices with strong association is bound to generate the target production binding unit.

[0056] refer to Figure 3 , Figure 3It is a schematic diagram of the overall structure, specifically: the production equipment managed by the target enterprise includes equipment A to equipment H, wherein equipment A is equipment for processing raw materials, equipment C is equipment for outputting products, the data output flow of equipment H includes the flow of equipment G and equipment B, and the data output flow of equipment G includes the flow of equipment F and equipment E, then the log information of each device at different times is obtained, and a device log file is generated according to the log information, and then the first correlation between each device is determined according to the data packet transmission information and the network log file, the system log file is analyzed, and the second correlation between each device is obtained, and a set of devices with strong correlation is determined according to the first correlation and the second correlation, namely, equipment H and equipment B, equipment G and equipment E, and then the devices H and equipment B, as well as equipment G and equipment E with strong correlation are bound to generate a target production binding unit.

[0057] In this embodiment, the current enterprise management information is cleaned and standardized to obtain the target enterprise management information; the target enterprise management information is classified to obtain equipment production information and product flow information; the equipment production information is input into the target production status prediction model, and the actual production status of the equipment output by the target production status prediction model is obtained; the location information and data output flow direction of each device are obtained, and the location coordinates are set according to the location information; a device network topology diagram is generated according to the location coordinates and the data output flow direction; a target production binding unit is generated according to the device network topology diagram and the device log file; in the above manner, the current enterprise management information is cleaned and standardized, and then the target production status prediction model is used to predict the actual production status of the equipment according to the equipment production information, and after the device network topology diagram is generated, the device log file is combined to determine a set of equipment with strong correlation from multiple dimensions, and then the target production binding unit is generated using the set of equipment with strong correlation, thereby effectively improving the accuracy of generating the actual production status of the equipment and the target production binding unit.

[0058] This application also provides an enterprise management device based on digital transformation, please refer to Figure 4 , the enterprise management device based on digital transformation includes: The acquisition module 10 is used to acquire the enterprise management vision information and current enterprise management information of the target enterprise.

[0059] The multi-dimensional analysis module 20 is used to perform a multi-dimensional analysis on the current enterprise management information, and generate a target production binding unit and an actual production status of the equipment according to the multi-dimensional analysis results of the information.

[0060] The generation module 30 is used to generate a digital transformation strategy based on the target production binding unit, the actual production status of the equipment and the enterprise management vision information, wherein the digital transformation strategy includes a digital transformation framework and a digital transformation process.

[0061] The management module 40 is used to manage the production of the target enterprise according to the digital transformation framework and the digital transformation process.

[0062] This embodiment obtains the enterprise management vision information and current enterprise management information of the target enterprise; performs a multi-dimensional analysis on the current enterprise management information, and generates a target production binding unit and the actual production status of the equipment according to the results of the multi-dimensional analysis of the information; generates a digital transformation strategy according to the target production binding unit, the actual production status of the equipment and the enterprise management vision information, wherein the digital transformation strategy includes a digital transformation framework and a digital transformation process; manages the production of the target enterprise according to the digital transformation framework and the digital transformation process; in the above manner, after a multi-dimensional analysis of the current enterprise management information, the target production binding unit and the actual production status of the equipment are determined, and then the digital transformation strategy is generated in combination with the enterprise management vision information, which can effectively improve the accuracy of the generated digital transformation strategy, and then perform production management according to the digital content included in the digital transformation strategy, thereby effectively improving the accuracy and efficiency of managing the enterprise and reducing the cost of digital transformation.

[0063] The enterprise management device based on digital transformation provided by this application adopts the enterprise management method based on digital transformation in the above-mentioned embodiment, which can solve the technical problem of low accuracy and efficiency of the prior art in managing enterprises through transformation. Compared with the prior art, the beneficial effects of the enterprise management device based on digital transformation provided by this application are the same as the beneficial effects of the enterprise management method based on digital transformation provided by the above-mentioned embodiment, and the other technical features in the enterprise management device based on digital transformation are the same as the features disclosed in the above-mentioned embodiment method, which will not be repeated here.

[0064] In one embodiment, the multi-dimensional analysis module 20 is also used to clean the current enterprise management information and standardize the cleaned enterprise management information to obtain target enterprise management information; classify the target enterprise management information to obtain equipment production information and product flow information; input the equipment production information into the target production status prediction model, and obtain the actual production status of the equipment output by the target production status prediction model; obtain the location information and data output flow direction of each device, and set the location coordinates according to the location information; generate a device network topology diagram according to the location coordinates and the data output flow direction; generate a target production binding unit according to the device network topology diagram and the device log file.

[0065] In one embodiment, the multi-dimensional analysis module 20 is also used to obtain log information of each device at different times, and generate a device log file based on the log information; set a correlation detection data packet according to device characteristic information; transmit the correlation detection data packet based on the device network topology diagram to obtain data packet transmission information; classify the device log files to obtain system log files and network log files; determine a first correlation between each device based on the data packet transmission information and the network log file; perform log analysis on the system log file to obtain a second correlation between each device; determine a set of devices with strong correlation based on the first correlation and the second correlation; and generate a target production binding unit based on the set of devices with strong correlation.

[0066] In one embodiment, the generation module 30 is also used to determine the enterprise management digital transformation goal based on the enterprise management vision information; determine the enterprise management digital transformation direction based on the current enterprise management information and the enterprise management digital transformation goal; obtain the overall production information of the target enterprise; determine a single production unit based on the overall production information and the target production binding unit; perform intelligent detection on the single production unit to obtain a current intelligent feature value; when the current intelligent feature value is less than a preset feature threshold, generate a digital transformation strategy based on the single production unit, the enterprise management digital transformation direction and the actual production status of the equipment.

[0067] In one embodiment, the generation module 30 is also used to perform a qualified test on the actual production status of the equipment when the current intelligent feature value is less than a preset feature threshold; when the qualified test result does not meet the preset requirements, determine the production information of the target production binding unit within a preset time period according to the digital transformation direction of enterprise management; determine the actual reason for not meeting the preset requirements according to the production information; determine the digital transformation goal of equipment replacement according to the actual reason and the digital transformation direction of enterprise management; determine the equipment intelligent digital transformation goal according to the single production unit and the digital transformation direction of enterprise management; perform function detection on the equipment replacement digital transformation goal and the equipment intelligent digital transformation goal, and perform architecture detection on the equipment replacement digital transformation goal and the equipment intelligent digital transformation goal; generate a digital transformation strategy according to the target function detection results and the architecture detection results.

[0068] In one embodiment, the management module 40 is also used to conduct a comprehensive evaluation of the digital transformation framework and the digital transformation process; when the current evaluation result meets the preset digital transformation requirements, obtain the current production order information and historical production information of the target enterprise; determine the emergency production cycle and the emergency production start time according to the historical production information and the current production order information; determine the non-emergency production cycle according to the current time and the emergency production start time; when the non-emergency production cycle is less than the emergency production cycle and the current time is earlier than the emergency production start time, optimize the production framework of the target enterprise according to the digital transformation framework, and optimize the production process of the target enterprise according to the digital transformation process; generate a target production management strategy based on the optimized production framework and production process, and manage the production of the target enterprise based on the target generated management strategy.

[0069] The present application provides an enterprise management device based on digital transformation, and the enterprise management device based on digital transformation includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the enterprise management method based on digital transformation in the above-mentioned embodiment one.

[0070] Reference below Figure 5, which shows a schematic diagram of the structure of an enterprise management device based on digital transformation suitable for implementing the embodiment of the present application. The enterprise management device based on digital transformation in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 5 The enterprise management device based on digital transformation shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0071] like Figure 5 As shown, the enterprise management device based on digital transformation may include a processing device 1001 (such as a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the enterprise management device based on digital transformation are also stored. The processing device 1001, ROM1002 and RAM1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems can be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the enterprise management device based on digital transformation to communicate with other devices wirelessly or wired to exchange data. Although the figure shows an enterprise management device based on digital transformation with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems can be implemented or have alternatively.

[0072] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0073] The enterprise management device based on digital transformation provided by this application adopts the enterprise management method based on digital transformation in the above-mentioned embodiment, which can solve the technical problem of low accuracy and efficiency of the prior art in managing enterprises through transformation. Compared with the prior art, the beneficial effects of the enterprise management device based on digital transformation provided by this application are the same as the beneficial effects of the enterprise management method based on digital transformation provided by the above-mentioned embodiment, and the other technical features in the enterprise management device based on digital transformation are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0074] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0075] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0076] The present application provides a computer-readable storage medium having computer-readable program instructions (i.e., computer programs) stored thereon, and the computer-readable program instructions are used to execute the enterprise management method based on digital transformation in the above-mentioned embodiment.

[0077] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM: Random Access Memory), a read-only memory (ROM: Read Only Memory), an erasable programmable read-only memory (EPROM: Erasable Programmable Read Only Memory or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM: CD-ReadOnly Memory), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency: Radio Frequency), etc., or any suitable combination of the above.

[0078] The above-mentioned computer-readable storage medium may be included in the enterprise management device based on digital transformation; or it may exist independently without being assembled into the enterprise management device based on digital transformation.

[0079] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0080] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0081] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0082] The readable storage medium provided in this application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned enterprise management method based on digital transformation, and can solve the technical problem of low accuracy and efficiency in the prior art of managing enterprises after transformation. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as the beneficial effects of the enterprise management method based on digital transformation provided in the above-mentioned embodiment, and will not be elaborated here.

[0083] The present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the enterprise management method based on digital transformation as described above.

[0084] The computer program product provided by this application can solve the technical problem of low accuracy and efficiency in the prior art of managing enterprises after transformation. Compared with the prior art, the beneficial effects of the computer program product provided by this application are the same as the beneficial effects of the enterprise management method based on digital transformation provided by the above embodiment, and will not be repeated here.

[0085] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. An enterprise management method based on digital transformation, characterized in that: The method comprises: Obtain the target enterprise's corporate management vision information and current corporate management information; Perform multi-dimensional analysis on the current enterprise management information, and generate target production binding units and actual production status of equipment according to the multi-dimensional analysis results of the information; Generate a digital transformation strategy according to the target production binding unit, the actual production status of the equipment, and the enterprise management vision information, wherein the digital transformation strategy includes a digital transformation framework and a digital transformation process; The production of the target enterprise is managed according to the digital transformation framework and the digital transformation process.

2. The method according to claim 1, characterized in that The step of performing a multi-dimensional analysis on the current enterprise management information and generating a target production binding unit and an actual production status of the equipment according to the multi-dimensional analysis result of the information includes: Cleaning the current enterprise management information, and standardizing the cleaned enterprise management information to obtain target enterprise management information; Classify the target enterprise management information to obtain equipment production information and product circulation information; Inputting the equipment production information into a target production status prediction model, and obtaining the actual production status of the equipment output by the target production status prediction model; Obtaining the location information and data output flow direction of each device, and setting the location coordinates according to the location information; Generate a device network topology diagram according to the location coordinates and the data output flow direction; A target production binding unit is generated according to the device network topology diagram and the device log file.

3. The method according to claim 2, characterized in that The step of generating a target production binding unit according to the device network topology diagram and the device log file comprises: Obtaining log information of each device at different times, and generating device log files according to the log information; Set up a correlation detection data packet based on device characteristic information; Transmitting the association detection data packet based on the device network topology diagram to obtain data packet transmission information; Classifying the device log files to obtain system log files and network log files; determining a first association between devices according to the data packet transmission information and the network log file; Performing log analysis on the system log file to obtain a second correlation between the devices; Determining a set of devices having a strong association according to the first association and the second association; A target production binding unit is generated according to the set of devices having a strong association.

4. The method according to claim 1, characterized in that The step of generating a digital transformation strategy according to the target production binding unit, the actual production status of the equipment, and the enterprise management vision information includes: Determine the digital transformation goals of enterprise management based on the enterprise management vision information; Determine the direction of enterprise management digital transformation according to the current enterprise management information and the enterprise management digital transformation goal; Obtain the overall production information of the target enterprise; Determine a single production unit according to the overall production information and the target production binding unit; Performing intelligent detection on the single production unit to obtain a current intelligent characteristic value; When the current intelligent feature value is less than a preset feature threshold, a digital transformation strategy is generated according to the single production unit, the enterprise management digital transformation direction, and the actual production status of the equipment.

5. The method according to claim 4, characterized in that The step of generating a digital transformation strategy according to the single production unit, the enterprise management digital transformation direction, and the actual production status of the equipment when the current intelligent feature value is less than a preset feature threshold comprises: When the current intelligent feature value is less than a preset feature threshold, performing a qualified detection on the actual production status of the equipment; When the qualified test results do not meet the preset requirements, the production information of the target production binding unit within the preset time period is determined according to the digital transformation direction of enterprise management; Determine the actual reason for not meeting the preset requirements based on the production information; Determine the digital transformation goal of equipment replacement based on the actual reasons and the digital transformation direction of enterprise management; Determine the equipment intelligent digital transformation goal according to the single production unit and the enterprise management digital transformation direction; Performing functional testing on the equipment replacement digital transformation goal and the equipment intelligence digital transformation goal, and performing architectural testing on the equipment replacement digital transformation goal and the equipment intelligence digital transformation goal; Generate a digital transformation strategy based on the target function test results and architecture test results.

6. The method according to any one of claims 1 to 5, characterized in that The step of managing the production of the target enterprise according to the digital transformation framework and the digital transformation process includes: Conduct a comprehensive assessment of the digital transformation framework and the digital transformation process; When the current evaluation results meet the preset digital transformation requirements, obtain the current production order information and historical production information of the target enterprise; Determine the emergency production cycle and the emergency production start time according to the historical production information and the current production order information; Determine a non-emergency production cycle according to the current time and the initial time of the emergency production; When the non-emergency production cycle is shorter than the emergency production cycle and the current moment is earlier than the emergency production initial moment, optimizing the production framework of the target enterprise according to the digital transformation framework, and optimizing the production process of the target enterprise according to the digital transformation process; A target production management strategy is generated according to the optimized production framework and production process, and the production of the target enterprise is managed based on the target generated management strategy.

7. An enterprise management device based on digital transformation, characterized in that: The device comprises: An acquisition module is used to acquire the enterprise management vision information and current enterprise management information of the target enterprise; A multi-dimensional analysis module, used to perform a multi-dimensional analysis on the current enterprise management information, and generate a target production binding unit and an actual production status of the equipment according to the multi-dimensional analysis results of the information; A generation module, used to generate a digital transformation strategy according to the target production binding unit, the actual production status of the equipment and the enterprise management vision information, wherein the digital transformation strategy includes a digital transformation framework and a digital transformation process; A management module is used to manage the production of the target enterprise according to the digital transformation framework and the digital transformation process.

8. An enterprise management device based on digital transformation, characterized in that: The device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the enterprise management method based on digital transformation as described in any one of claims 1 to 6.

9. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the enterprise management method based on digital transformation as described in any one of claims 1 to 6 are implemented.

10. A computer program product, characterized in that The computer program product includes a computer program, which, when executed by a processor, implements the steps of the enterprise management method based on digital transformation as described in any one of claims 1 to 6.

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