CN110942252A - Method and device for diagnosing and evaluating reform enterprise, server and system for diagnosing and evaluating reform enterprise - Google Patents
Method and device for diagnosing and evaluating reform enterprise, server and system for diagnosing and evaluating reform enterprise Download PDFInfo
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Abstract
The invention relates to the technical field of reform management, in particular to a method and a device for diagnosing and evaluating a reform enterprise, a server and a system for diagnosing and evaluating the reform enterprise. The method for diagnosing and evaluating the revolutionary enterprises comprises the following steps: the method comprises the steps of firstly obtaining original operation information, then carrying out artificial intelligence training on the original operation information, creating a change necessity model, and then carrying out prediction evaluation on an enterprise to be diagnosed according to the created change necessity model to obtain predicted change information, so that the risk prevention strength of the enterprise is improved, and a positive support effect is generated on long-term operation.
Description
Technical Field
The invention relates to the technical field of reform management, in particular to a method and a device for diagnosing and evaluating a reform enterprise, a server and a system for diagnosing and evaluating the reform enterprise.
Background
The change management means that when the organization grows slowly, the internal defect problem is generated, and the change of the operation environment can not be met, the enterprise must make an organization change strategy, and the internal hierarchy, the work flow and the enterprise culture are subjected to necessary adjustment and improvement management, so that the enterprise can be successfully transformed. The core of enterprise change is change management, and the success of change management comes from change management.
In carrying out the present application, the applicant has found that the related art has at least the following problems: to some extent, enterprise operations can be problematic, for example: management systems cannot support growth in market size, etc. If the possible problems of the enterprise can be judged in advance to carry out early warning, or the change management required by the enterprise is judged, a very positive supporting effect can be generated on the risk prevention and long-term operation of the enterprise.
Disclosure of Invention
An object of an embodiment of the present invention is to provide a method and an apparatus for diagnosing and evaluating an enterprise, a server, and a system for diagnosing and evaluating an enterprise, which are capable of predicting revolutionary information and improving enterprise risk prevention.
In order to solve the above technical problems, embodiments of the present invention provide the following technical solutions:
in a first aspect, an embodiment of the present invention provides a method for diagnosing and evaluating a revolutionary enterprise, where the method includes:
acquiring original operation information;
carrying out artificial intelligence training on the original operation information, and creating a change necessity model;
and according to the change necessity model, performing prediction evaluation on the enterprise to be diagnosed to obtain predicted change information.
Optionally, the original operation information includes a change item feature and a change necessity mark corresponding to the change item feature;
the artificial intelligence training of the original operation information and the creation of the reform necessity model comprise the following steps:
extracting original project data related to the transformation project characteristics;
carrying out artificial intelligence training processing on the original project data and the change necessity mark to obtain a mapping relation between the original project data and the change necessity mark;
and creating the transformational necessity model according to the mapping relation.
Optionally, the reform necessity model includes the reform project features, reform features, feature values, reform necessity, and reform urgency;
the change project characteristic, the change characteristic, the characteristic value, the change necessity and the change urgency are respectively in one-to-one correspondence.
Optionally, the predicted change information comprises a change necessity and a change urgency;
diagnosing the reform enterprise according to the reform necessity model to obtain predicted reform information, wherein the diagnosis comprises the following steps:
acquiring data of the item to be diagnosed of the enterprise to be diagnosed;
comparing the item data to be diagnosed with the change item characteristics, the change characteristics and the characteristic values in the change necessity model to obtain predicted change information;
optionally, the data of the item to be diagnosed comprises a type of the item to be diagnosed, a characteristic of the item to be diagnosed and a characteristic value of the item to be diagnosed;
the comparing the item data to be diagnosed with the change item feature, the change feature and the feature value in the change necessity model to obtain the predicted change information includes:
matching the type of the item to be diagnosed with the characteristics of the change item to obtain a first matching result; and the number of the first and second electrodes,
matching the item feature to be diagnosed with the change feature to obtain a second matching result; and the number of the first and second electrodes,
matching the characteristic value of the item to be diagnosed with the characteristic value to obtain a third matching result;
and obtaining predicted change information according to the first matching result, the second matching result and the third matching result.
Optionally, the obtaining of the predicted change information according to the first matching result, the second matching result, and the third matching result includes:
and if the first matching result meets a first preset matching condition, the second matching result meets a second preset matching condition, and the third matching result meets a third preset matching condition, obtaining the corresponding predicted change information.
Optionally, judging whether the predicted change information meets a preset change result;
and if so, generating early warning information.
In a second aspect, an embodiment of the present invention provides a device for diagnosing and evaluating a revolutionary enterprise, including:
and the original operation information acquisition module is used for acquiring the original operation information.
And the change necessity model generating module is used for carrying out artificial intelligence training on the original operation information and creating a change necessity model.
And the prediction evaluation module is used for performing prediction evaluation on the enterprise to be diagnosed according to the change necessity model to obtain the predicted change information.
Optionally, the original operation information includes a change item feature and a change necessity mark corresponding to the change item feature;
the transformation necessity model generation module comprises an extraction unit, an artificial intelligence training unit and a creation unit;
the extraction unit is used for extracting original item data related to the change item characteristics;
the artificial intelligence training unit is used for carrying out artificial intelligence training processing on the original project data and the change necessity mark to obtain a mapping relation between the original project data and the change necessity mark;
the creating unit is used for creating the transformational necessity model according to the mapping relation.
In a third aspect, an embodiment of the present invention provides a server, including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method for revolutionary enterprise diagnostic assessment as described above.
In a fourth aspect, an embodiment of the present invention provides a system for diagnosing and evaluating a revolutionary enterprise, including:
the system comprises a client, a service provider and a service provider, wherein the client is used for providing a change project simulation interface which is used for displaying predicted change information; and
the server is communicated with the client.
Compared with the prior art, the method for diagnosing and evaluating the revolutionary enterprises, provided by the embodiment of the invention, can be used for firstly obtaining the original operation information, then carrying out artificial intelligent training on the original operation information, creating the revolutionary necessity model, and then carrying out prediction and evaluation on the enterprises to be diagnosed according to the created revolutionary necessity model to obtain the prediction and revolutionary information, so that the risk prevention strength of the enterprises is improved, and a positive support effect is generated on long-term operation.
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One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the figures in which like reference numerals refer to similar elements and which are not to scale unless otherwise specified.
FIG. 1 is a schematic diagram of a corporate organization architecture according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an application environment of an embodiment of the present invention;
FIG. 3 is a flow chart illustrating a method for diagnosing and evaluating a revolutionary enterprise according to an embodiment of the present invention;
FIG. 4 is a schematic flow chart of S20 in FIG. 3;
FIG. 5 is a schematic flow chart of S30 in FIG. 3;
FIG. 6 is a schematic flow chart of a method for diagnosing and evaluating a revolutionary enterprise according to another embodiment of the present invention;
fig. 7 is a block diagram illustrating a structure of a device for diagnosing and evaluating a revolutionary enterprise according to an embodiment of the present invention;
fig. 8 is a block diagram of a server according to an embodiment of the present invention.
Detailed Description
In order to facilitate an understanding of the invention, the invention is described in more detail below with reference to the accompanying drawings and specific examples. It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may be present. As used herein, the terms "upper," "lower," "inner," "outer," "bottom," and the like are used in the written description to refer to orientations and positional relationships illustrated in the drawings for ease of description and to simplify the description, and are not intended to indicate or imply that the referenced devices or elements must have a particular orientation, be constructed in a particular orientation, and be constructed in a particular manner of operation, and are not to be construed as limiting the present invention. Furthermore, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
Furthermore, the technical features involved in the different embodiments of the invention described below may be combined with each other as long as there is no conflict between them.
The embodiment of the invention provides a method for diagnosing and evaluating a revolutionary enterprise, which can be used for obtaining original operation information, performing artificial intelligent training on the original operation information, creating a revolutionary necessity model, and performing prediction evaluation on the enterprise to be diagnosed according to the created revolutionary necessity model to obtain predicted revolutionary information, so that the risk scope prevention of the enterprise is improved, and a positive support effect is generated on long-term operation.
To facilitate the reader's understanding of pertinent terms used herein, and to explain such terms as referred to below, it is to be understood that such terms are used solely to facilitate the interpretation of the description herein, and that other skilled artisans may make other extensive or different interpretations of the same term in various angles, but the specific understanding should be interpreted in conjunction with the context of the phrase, and all terms are not intended to limit the scope of the embodiments of the present invention.
An enterprise of transformation: the reform enterprise refers to an enterprise needing reform management, and orders service products on a reform management platform. For example, referring to fig. 1, a revolutionary enterprise organization architecture includes an administrative department, a research and development department, a marketing department, a purchasing department, a financial department, and a legal department. The enterprise features strongly related to the change management are: the industry, the scale of the enterprise, the position in the industry chain and the like, and according to the characteristics, the similarity between different enterprises can be calculated.
A transformation project: after a reform enterprise orders a service product on a reform management platform, the reform management service product is created based on the ordered service product, and then a corresponding reform item is generated according to the created reform management service product, for example: manpower resource change projects, financial resource change projects and the like. Similarity between different items can be calculated according to the characteristics of the items.
Task information: the change project comprises a plurality of task information, and the content required to be executed is contained in the task information. For example, the human resource revolution project includes a plurality of task information such as current state investigation, problem analysis, remote review, and field review.
The following illustrates an application environment of the method for diagnosing and evaluating the revolutionary enterprise.
FIG. 2 is a schematic diagram of an application environment of a method for diagnosing and evaluating a revolutionary enterprise according to an embodiment of the present invention; as shown in fig. 2, the application scenario includes a client 21 and a server 22, and the client 21 communicates with the server 22, wherein the communication method may be a wired communication or a wireless communication.
The client 21 is configured to provide a change project simulation interface, where the change project simulation interface is configured to display obtained predicted change information, and specifically, first obtain original operation information, then perform artificial intelligence training on the original operation information, create a change necessity model, and further perform prediction and evaluation on an enterprise to be diagnosed according to the change necessity model to obtain predicted change information.
In some embodiments, the server 22 may be a physical server or a logical server virtualized from multiple physical servers. The server 22 may also be a server cluster formed by a plurality of servers capable of communicating with each other, and each functional module may be distributed on each server in the server cluster.
The client may be any suitable type of electronic device, such as a server, a smartphone, a computer, a Personal Digital Assistant (PDA), a tablet computer, or a smart watch, among others. Wherein the electronic device may be configured in any suitable shape to meet different business scenarios.
Fig. 3 is an embodiment of a method for diagnosing and evaluating a revolutionary enterprise according to an embodiment of the present invention. As shown in fig. 3, the method for diagnosing and evaluating the revolutionary enterprise includes the following steps:
and S10, acquiring the original operation information.
The original operation information is derived from an external information source of an enterprise and an internal information source of the enterprise, where the external information source of the enterprise refers to information publicly available outside the enterprise, such as: scientific news, financial news, securities analysis, company financial reports on market, and the like. The information source in the enterprise can be an internal computer system of the enterprise, that is, a computer system used in the enterprise operation process is referred to, for example: ERP (Enterprise Resource planning), CRM (custom relationship management), HRM (human Resource management), PDM (product data management), MES (manufacturing Execution System), SCM (supply Chain management), and the like.
Specifically, the original operation information may be obtained from the external information source and the internal information source of the enterprise.
And S20, carrying out artificial intelligence training on the original operation information, and creating a transformational necessity model.
Wherein the original operation information comprises a change project characteristic and a change necessity mark corresponding to the change project characteristic. The change project characteristics are change project types, such as manpower resource change project types, sales management project change project characteristics, development project change project characteristics, strategic project change project characteristics, financial project change project characteristics, and the like. Each of the revolution project characteristics corresponds to a revolution necessity flag. The change necessity flag represents the degree of importance of the change necessity of the item type. For example, the necessity of revolution of the human resource item type is high, the necessity of revolution of the sales management type is low, and the like. It should be noted that the change necessity index may be a numerical value or a letter, and the larger the numerical value, the higher the necessity. Or presetting the level of different letters corresponding to different necessity degrees.
Specifically, original item data related to the change item features are extracted, artificial intelligence training processing is performed on the original item data and the change necessity marks to obtain a mapping relation between the original item data and the change necessity marks, and then the change necessity model is created according to the mapping relation.
Wherein the change necessity model comprises change project characteristics, change characteristics, characteristic values, change necessity and change urgency; the change project characteristic, the change characteristic, the characteristic value, the change necessity, and the change urgency are in one-to-one correspondence. For example, the characteristic of the change item is a strategic change item, the change characteristic corresponding to the strategic change item is a strategic execution degree, the characteristic value corresponding to the strategic execution degree is 30%, and when the characteristic value corresponding to the strategic execution degree is 30%, both the corresponding change necessity and the change urgency are high. For another example, the characteristic of the revolution project is a sales revolution project, the corresponding revolution characteristic of the sales revolution project is a thread conversion rate, the corresponding characteristic value of the thread conversion rate is 50%, and when the corresponding characteristic value of the thread conversion rate is 50%, the corresponding revolution necessity is medium, and the revolution urgency is high. For another example, the change item characteristic is an order change item, the change characteristic corresponding to the order change item is an order conversion rate, the characteristic value corresponding to the order conversion rate is 70%, and when the characteristic value corresponding to the order conversion rate is 70%, both the corresponding change necessity and the change urgency are low.
And S30, according to the change necessity model, carrying out prediction evaluation on the enterprise to be diagnosed to obtain the predicted change information.
Specifically, when the original operation information is subjected to artificial intelligence training to obtain the change necessity model, the enterprise to be diagnosed can be subjected to prediction evaluation to obtain the predicted change information.
Specifically, the data of the item to be diagnosed of the enterprise to be diagnosed is obtained first, and then the data of the item to be diagnosed is compared with the change item feature, the change feature and the feature value in the change necessity model to obtain the predicted change information.
Wherein the predicted change information comprises a change necessity and a change urgency.
The embodiment of the invention provides a method for diagnosing and evaluating a revolutionary enterprise, which can be used for obtaining original operation information, performing artificial intelligent training on the original operation information, creating a revolutionary necessity model, and performing prediction evaluation on the enterprise to be diagnosed according to the created revolutionary necessity model to obtain predicted revolutionary information, so that the risk scope prevention of the enterprise is improved, and a positive support effect is generated on long-term operation.
In order to better perform artificial intelligence training on the original business information and create a reform necessity model, in some embodiments, referring to fig. 4, S20 includes the following steps:
and S21, extracting the original project data related to the transformation project characteristics.
The original item data includes an original item category, an original item conversion rate or execution degree corresponding to the original item category, and the like. For example, if the original item category is a strategic item category, the original strategic execution degree corresponding to the strategic item category may be calculated as follows, assuming that there are N annual strategic targets, and when the number of completed strategic targets after the end of a year is M, the strategic execution degree is M/N × 100%. The original strategy execution degree of the past 3 years is collected.
And S22, performing artificial intelligence training processing on the original project data and the change necessity mark to obtain a mapping relation between the original project data and the change necessity mark.
Wherein the change necessity flag represents a degree of importance of the change necessity of the item type. For example, the necessity of revolution of the human resource item type is high, the necessity of revolution of the sales management type is low, and the like. It should be noted that the change necessity mark may also be a numerical value or a letter, and the larger the numerical value, the higher the necessity. Or presetting the level of different letters corresponding to different necessity degrees.
For example, in the past 3-5 years, if the trend of the conversion rate or the execution degree of the original project corresponding to the original project category becomes better and better, and the urgency of the change is not high, the change necessity flag is set to be low; and if the trend of the conversion rate or the execution degree of the original item corresponding to the original item category becomes lower and lower, the urgency of the change is high, and the change necessity flag is set to be high.
And S23, creating the transformational necessity model according to the mapping relation.
Specifically, each original item data corresponds to the change necessity flag, and the mapping relationship can be obtained according to the corresponding relationship between each original item data and the change necessity flag, so that the change necessity model can be created.
For example, according to the original item category, the corresponding relationship between the original item conversion rate or the execution degree corresponding to the original item category and the change necessity flag, the corresponding relationship (mapping relationship) between the change item feature, the change feature, the feature value, the change necessity, the change urgency and the change necessity flag is generated, i.e. the change item feature, the change feature, the feature value, the change necessity and the change urgency are in one-to-one correspondence.
For example, if the original item category is an original item for strategic management, and the original feature corresponding to the original item for strategic management is an original strategic executive degree, the original feature value corresponding to the original strategic executive degree is 30%, the corresponding change necessity flag is high, and the corresponding change necessity model in the generated change necessity model is generated
The type of the innovation project is a strategic innovation project, the innovation characteristic corresponding to the strategic innovation project is strategic execution degree, the characteristic value corresponding to the strategic execution degree is 30%, and when the characteristic value corresponding to the strategic execution degree is 30%, the corresponding innovation necessity and the innovation urgency are both high. For another example, if the original item category is the sales management original item, the original characteristic corresponding to the sales management original item is the sales original conversion rate, the original characteristic value corresponding to the sales original conversion rate is 50%, the corresponding change necessity flag is medium, the corresponding change item characteristic in the generated change necessity model sells the change item, the change characteristic corresponding to the sales change item is the cue conversion rate, the characteristic value corresponding to the cue conversion rate is 50%, when the characteristic value corresponding to the cue conversion rate is 50%, the corresponding change necessity is medium, and the change urgency is high.
For another example, if the original item category is an original item of an order, the original characteristic corresponding to the original item of the order is an original conversion rate of the order, the original characteristic value corresponding to the original conversion rate of the order is 70%, the corresponding change necessity flag is high, the characteristic of the corresponding change item in the generated change necessity model is an order change item, the change characteristic corresponding to the order change item is an order conversion rate, the characteristic value corresponding to the order conversion rate is 70%, and when the characteristic value corresponding to the order conversion rate is 70%, both the corresponding change necessity and the change urgency are low.
In order to better diagnose the reform enterprise according to the reformation necessity model and obtain the predicted reformation information, in some embodiments, referring to fig. 5, S30 includes the following steps:
and S31, acquiring the data of the to-be-diagnosed item of the to-be-diagnosed enterprise.
The data of the items to be diagnosed comprise types, characteristics and characteristic values of the items to be diagnosed.
And S32, comparing the item data to be diagnosed with the change item characteristics, the change characteristics and the characteristic values in the change necessity model to obtain predicted change information.
Wherein the predicted change information comprises a change necessity and a change urgency.
Specifically, the type of the item to be diagnosed is matched with the characteristics of the change item to obtain a first matching result; matching the item feature to be diagnosed with the change feature to obtain a second matching result; matching the characteristic value of the item to be diagnosed with the characteristic value to obtain a third matching result; and obtaining predicted change information according to the first matching result, the second matching result and the third matching result.
Further, if the first matching result meets a first preset matching condition, the second matching result meets a second preset matching condition, and the third matching result meets a third preset matching condition, the predicted change information is obtained.
It should be noted that the first preset matching condition, the second preset matching condition, and the third preset matching condition may be set to be matched or not matched, or may be other matching conditions. And are not intended to be limiting herein. For example, if the first matching result, the second matching result, and the third matching result are all matching, the obtained corresponding preset change information is that the change necessity is high and the change urgency is high. And if the first matching result is unmatched, the second matching result is unmatched and the third matching result is unmatched, obtaining that the corresponding preset change information is low in change necessity and low in change urgency. And if the first matching result is unmatched, the second matching result is unmatched and the third matching result is unmatched, obtaining that the corresponding preset change information is low in change necessity and low in change urgency. And if the first matching result is matching, the second matching result is matching, and the third matching result is unmatched, the corresponding preset change information is obtained, namely the change necessity is middle and the change urgency is middle. And if the first matching result is matching, the second matching result is unmatched, and the third matching result is matching, obtaining the corresponding preset change information as high change necessity and medium change urgency.
The artificial intelligence training can adopt various technologies in the field of artificial intelligence, such as supervised machine learning, unsupervised machine learning, deep learning and the like.
In some embodiments, referring to fig. 6, the method includes the steps of:
s40, judging whether the predicted change information meets a preset change result;
specifically, if the preset change result is that the necessity of change is high and the urgency of change is high. And if the obtained predicted change information is that the change necessity is low and the change urgency is medium, determining that the predicted change information does not meet the preset change result. And if the obtained predicted change information is high in change necessity and medium in change urgency, determining that the predicted change information does not meet a preset change result. And if the obtained predicted change information is high in change necessity and high in change urgency, determining that the predicted change information meets a preset change result.
And S50, if yes, generating early warning information.
Specifically, if the obtained predicted change information meets a preset change result, generating early warning information to remind enterprise users of project changes which respond in time.
The early warning information may be single information of an image, a text and a sound, or mixed information of the image, the text and the sound. After the early warning information is generated, the early warning information is displayed by an early warning display module, for example: the display is carried out in a short message mode, the display is carried out through alarm sound, the display is carried out through a program interface and the like.
It should be noted that, in the foregoing embodiments, a certain order does not necessarily exist between the foregoing steps, and those skilled in the art can understand, according to the description of the embodiments of the present application, that in different embodiments, the foregoing steps may have different execution orders, that is, may be executed in parallel, may also be executed interchangeably, and the like.
As another aspect of the embodiment of the present application, the embodiment of the present application provides a revolutionary enterprise diagnosis evaluation apparatus 20. Referring to fig. 7, the apparatus 20 for diagnosing and evaluating a revolutionary enterprise includes: original operation information collection 21, a transformational necessity model generation module 22 and a module prediction evaluation module 23.
The original operation information acquisition module 21 is configured to acquire original operation information.
The change necessity model generating module 22 is configured to perform artificial intelligence training on the original operation information, and create a change necessity model.
And the prediction evaluation module 23 is configured to perform prediction evaluation on the enterprise to be diagnosed according to the change necessity model to obtain predicted change information.
Therefore, in the embodiment, the original operation information is firstly obtained, then the artificial intelligence training is carried out on the original operation information, the change necessity model is created, and then the enterprise to be diagnosed is subjected to prediction evaluation according to the created change necessity model to obtain the predicted change information, so that the risk prevention strength of the enterprise is improved, and the active support effect is generated on long-term operation.
In some embodiments, the revolutionary enterprise diagnostic evaluation device 20 further includes an early warning module 24.
The early warning module 24 is configured to determine whether the predicted change information satisfies a preset change result; and if so, generating early warning information.
Wherein, in some embodiments, the transformational necessity model generation module comprises an extraction unit, an artificial intelligence training unit and a creation unit;
the extraction unit is used for extracting original item data related to the change item characteristics; the original operation information comprises a change project characteristic and a change necessity mark corresponding to the change project characteristic.
The artificial intelligence training unit is used for carrying out artificial intelligence training processing on the original project data and the change necessity mark to obtain a mapping relation between the original project data and the change necessity mark.
The creating unit is used for creating the transformational necessity model according to the mapping relation.
It should be noted that the above-mentioned apparatus for diagnosing and evaluating a revolutionary enterprise can execute the method for diagnosing and evaluating a revolutionary enterprise provided by the embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in the embodiments of the apparatus for diagnosing and evaluating a revolute enterprise, reference may be made to the method for diagnosing and evaluating a revolute enterprise provided by the embodiments of the present invention.
Fig. 8 is a block diagram of a server 100 according to an embodiment of the present invention. The server 100 may be configured to implement the functions of all or part of the functional modules in the main control chip. As shown in fig. 8, the server 100 may include: a processor 110, a memory 120, and a communication module 130.
The processor 110, the memory 120 and the communication module 130 establish a communication connection therebetween by way of a bus.
The processor 110 may be of any type, including a processor 110 having one or more processing cores. The system can execute single-thread or multi-thread operation and is used for analyzing instructions to execute operations of acquiring data, executing logic operation functions, issuing operation processing results and the like.
The memory 120 is a non-transitory computer-readable storage medium, and can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as program instructions/modules corresponding to the method for diagnosing and evaluating a revolutionary enterprise according to the embodiment of the present invention (for example, the original business information collection 21, the revolutionary necessity model generation module 22, the module prediction evaluation module 23, and the early warning module 24 shown in fig. 7). The processor 110 executes various functional applications and data processing of the apparatus 20 for diagnosing and evaluating a revolutionary enterprise by executing non-transitory software programs, instructions and modules stored in the memory 120, that is, implementing the method for diagnosing and evaluating a revolutionary enterprise in any of the above-mentioned method embodiments.
The memory 120 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the revolutionary enterprise diagnostic evaluation apparatus 20, and the like. Further, the memory 120 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 120 optionally includes memory located remotely from processor 110, which may be connected to server 10 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The memory 120 stores instructions executable by the at least one processor 110; the at least one processor 110 is configured to execute the instructions to implement the method for enterprise diagnostic assessment in any of the above-described method embodiments, for example, to execute the above-described method steps 10, 20, 30, etc., to implement the functions of the modules 21-24 in fig. 7.
The communication module 130 is a functional module for establishing a communication connection and providing a physical channel. The communication module 130 may be any type of wireless or wired communication module 130 including, but not limited to, a WiFi module or a bluetooth module, etc.
Further, the embodiment of the invention also provides a diagnosis and evaluation system for the revolutionary enterprise, which comprises a client and a server, wherein the client is used for providing a revolutionary project simulation interface, and the revolutionary project simulation interface is used for displaying the predicted revolutionary information. And the server is in communication connection with the client.
The client is used for providing a changing project simulation interface which is used for displaying the obtained predicted changing information, specifically, firstly, original operation information is obtained, then artificial intelligent training is carried out on the original operation information, a changing necessity model is created, and then according to the changing necessity model, prediction evaluation is carried out on an enterprise to be diagnosed, so that the predicted changing information is obtained.
In some embodiments, the server may be a physical server or a logical server virtualized from multiple physical servers. The server may also be a server cluster formed by a plurality of servers capable of communicating with each other, and each functional module may be respectively distributed on each server in the server cluster.
The client may be any suitable type of electronic device, such as a server, a smartphone, a computer, a Personal Digital Assistant (PDA), a tablet computer, or a smart watch, among others. Wherein the electronic device may be configured in any suitable shape to meet different business scenarios.
Further, embodiments of the present invention also provide a non-transitory computer-readable storage medium storing computer-executable instructions for execution by one or more processors 110, for example, by one of the processors 110 in fig. 8, to cause the one or more processors 110 to perform the revolutionary enterprise diagnostic assessment method in any of the method embodiments, for example, to perform the method steps 10, 20, 30, etc. described above, to implement the functions of the modules 21-24 in fig. 7.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a general hardware platform, and certainly can also be implemented by hardware. It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above may be implemented by a computer program in a computer program product, the computer program being stored in a non-transitory computer-readable storage medium, the computer program comprising program instructions that, when executed by an associated apparatus, cause the associated apparatus to perform the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The product can execute the diagnosis and evaluation method for the revolutionary enterprises provided by the embodiment of the invention, and has corresponding functional modules and beneficial effects for executing the diagnosis and evaluation method for the revolutionary enterprises. For technical details that are not described in detail in this embodiment, reference may be made to the method for diagnosing and evaluating a revolutionary enterprise provided by the embodiment of the present invention.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; within the idea of the invention, also technical features in the above embodiments or in different embodiments may be combined, steps may be implemented in any order, and there are many other variations of the different aspects of the invention as described above, which are not provided in detail for the sake of brevity; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (11)
1. A method for diagnosing and evaluating a revolutionary enterprise, the method comprising:
acquiring original operation information;
carrying out artificial intelligence training on the original operation information, and creating a change necessity model;
and according to the change necessity model, performing prediction evaluation on the enterprise to be diagnosed to obtain predicted change information.
2. The method of claim 1,
the original operation information comprises a change project characteristic and a change necessity mark corresponding to the change project characteristic;
the artificial intelligence training of the original operation information and the creation of the transformational necessity model comprise the following steps:
extracting original project data related to the transformation project characteristics;
carrying out artificial intelligence training processing on the original project data and the change necessity mark to obtain a mapping relation between the original project data and the change necessity mark;
and creating the transformational necessity model according to the mapping relation.
3. The method of claim 2, wherein the reform necessity model includes the reform project features, reform features, feature values, reform necessity, and reform urgency;
the change project characteristic, the change characteristic, the characteristic value, the change necessity and the change urgency are respectively in one-to-one correspondence.
4. The method of claim 3, wherein the step of applying the coating comprises applying a coating to the substrate
The predicted change information comprises change necessity and change urgency;
the diagnosing the reform enterprise according to the reform necessity model to obtain the forecast reform information, which comprises the following steps:
acquiring data of the item to be diagnosed of the enterprise to be diagnosed;
and comparing the item data to be diagnosed with the change item characteristics, the change characteristics and the characteristic values in the change necessity model to obtain the predicted change information.
5. The method of claim 4, wherein the step of determining the target position is performed by a computer
The data of the items to be diagnosed comprise the types of the items to be diagnosed, the characteristics of the items to be diagnosed and the characteristic values of the items to be diagnosed;
the comparing the item data to be diagnosed with the change item feature, the change feature and the feature value in the change necessity model to obtain the predicted change information includes:
matching the type of the item to be diagnosed with the characteristics of the change item to obtain a first matching result; and the number of the first and second electrodes,
matching the item feature to be diagnosed with the change feature to obtain a second matching result; and the number of the first and second electrodes,
matching the characteristic value of the item to be diagnosed with the characteristic value to obtain a third matching result;
and obtaining the predicted change information according to the first matching result, the second matching result and the third matching result.
6. The method of claim 5, wherein the step of applying the coating comprises applying a coating to the substrate
The obtaining the predicted change information according to the first matching result, the second matching result and the third matching result includes:
and if the first matching result meets a first preset matching condition, the second matching result meets a second preset matching condition, and the third matching result meets a third preset matching condition, obtaining the corresponding predicted change information.
7. The method according to any one of claims 1-6, further comprising:
judging whether the predicted change information meets a preset change result or not;
and if so, generating early warning information.
8. A revolutionary enterprise diagnostic evaluation apparatus, comprising:
the original operation information acquisition module is used for acquiring original operation information;
the reform necessity model generation module is used for carrying out artificial intelligence training on the original operation information and creating a reform necessity model;
and the prediction evaluation module is used for performing prediction evaluation on the enterprise to be diagnosed according to the change necessity model to obtain the predicted change information.
9. The apparatus of claim 8, wherein the original business information comprises a change item characteristic and a change necessity flag corresponding to the change item characteristic;
the transformation necessity model generation module comprises an extraction unit, an artificial intelligence training unit and a creation unit;
the extraction unit is used for extracting original project data related to the change project characteristics;
the artificial intelligence training unit is used for carrying out artificial intelligence training processing on the original project data and the change necessity mark to obtain a mapping relation between the original project data and the change necessity mark;
the creating unit is used for creating the transformational necessity model according to the mapping relation.
10. A server, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of revolutionary enterprise diagnostic assessment of any one of claims 1 to 7.
11. A revolutionary enterprise diagnostic evaluation system, comprising:
the client is used for providing a changing project simulation interface which is used for displaying the obtained predicted changing information; and
the server of claim 10, in communication with the client.
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