CN114519513B - Enterprise digital operation decision management system - Google Patents
Enterprise digital operation decision management system Download PDFInfo
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- CN114519513B CN114519513B CN202210103546.4A CN202210103546A CN114519513B CN 114519513 B CN114519513 B CN 114519513B CN 202210103546 A CN202210103546 A CN 202210103546A CN 114519513 B CN114519513 B CN 114519513B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
Abstract
The invention discloses an enterprise digital operation decision-making management system, which comprises a storage module and a decision-making management module; the storage module is used for storing business data and market research data of enterprises; the decision management module comprises an authorization management sub-module, a data display sub-module and a decision input sub-module; the authorization management submodule is used for carrying out authorization verification on decision-making personnel calling the operation data and the market research data in a dynamic verification mode; the storage module is also used for sending the operation data and the market research data to the data display sub-module; the data display sub-module is used for displaying operation data and market research data; the decision input sub-module is used for inputting the operation decision by a decision maker according to the operation data and the market research data; the storage module is also used for storing the operation decision. The invention effectively solves the problem that the authorization code is easy to be illegally acquired to cause the disclosure of enterprise operation decisions.
Description
Technical Field
The invention relates to the field of management, in particular to an enterprise digital operation decision-making management system.
Background
In recent years, large enterprises are built in an informatization mode, a large amount of production, operation and management data of the enterprises are gathered, various data and live data assets of the enterprises are utilized, the data assets are converted into enterprise development power, and the operation decision supporting all levels of production managers of the enterprises is a problem which needs to be solved by the current enterprises. How to identify and generate enterprise key indexes from mass data and how to display the indexes to users in a visual mode is a main technical problem faced by enterprises.
The method combines big data storage and analysis technology to realize extraction, cleaning, processing and storage of data, realizes dynamic and visual display of indexes through visual tools or components, and is a technical implementation mode of the current mainstream operation decision-making system.
In the technology, data authorization in the process of managing enterprise business decisions is generally performed by adopting a static verification mode, for example, an authorization code and the like. The verification method is easy to cause the enterprise operation decision to be divulged because the authorization code is illegally acquired.
Disclosure of Invention
The invention aims to disclose an enterprise digital operation decision management system, which solves the problem that in the prior art, data authorization is performed in a static verification mode, so that the authorization code is easily obtained illegally to cause the leakage of enterprise operation decisions.
In order to achieve the above purpose, the invention adopts the following technical scheme:
an enterprise digital operation decision-making management system comprises a storage module and a decision-making management module;
the storage module is used for storing business data and market research data of enterprises;
the decision management module comprises an authorization management sub-module, a data display sub-module and a decision input sub-module;
the authorization management submodule is used for carrying out authorization verification on decision-making personnel calling the operation data and the market research data in a dynamic verification mode;
the storage module is also used for sending the operation data and the market research data to the data display sub-module after the authorization verification is passed;
the data display submodule is used for receiving and displaying the operation data and the market research data sent from the storage module;
the decision input sub-module is used for inputting the operation decision by a decision maker according to the operation data and the market research data;
the storage module is also used for storing the operation decision.
Preferably, the authorization management submodule comprises a storage unit, an image acquisition unit and an authorization verification unit;
the storage unit is used for storing face images of personnel with calling rights of the business data and the market research data;
the image acquisition unit is used for carrying out human body identification verification on the decision maker and acquiring a facial image of the decision maker after the decision maker passes the human body identification verification;
the authorization verification unit is used for matching the face image acquired by the image acquisition unit with the face image stored in the storage unit, if the matching is successful, the authorization verification is passed, and if the matching is failed, the authorization verification is failed.
Preferably, the data display submodule comprises a template management unit, an index management unit and a display unit;
the template management unit is used for managing the display template by decision-making personnel;
the index management unit is used for managing the index by decision-making personnel;
the display unit is used for inputting the operation data and the market research data into the display template selected by the decision maker for display.
Preferably, the display template comprises the type of the index, the display mode of the index and the position of the index in the template.
Preferably, the managing the presentation templates includes making presentation templates, modifying presentation templates, querying presentation templates, and deleting presentation templates.
Preferably, the managing the index includes defining the index, deleting the index and querying the index.
Preferably, the business decision includes a decision type, decision content and a decision maker name.
The invention carries out authorization verification on decision-making personnel calling the business data and the market research data in a dynamic verification mode, and effectively solves the problem that the enterprise business decision is easy to be divulged because the authorization code is illegally acquired due to the adoption of the authorization code mode.
Drawings
The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the invention, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
FIG. 1 is a diagram of an exemplary embodiment of an enterprise digital business decision management system in accordance with the present invention.
FIG. 2 is a diagram of an exemplary embodiment of an authorization management sub-module of the present invention.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the invention.
In one embodiment as shown in FIG. 1, the invention provides an enterprise digital business decision management system, which comprises a storage module and a decision management module;
the storage module is used for storing business data and market research data of enterprises;
the decision management module comprises an authorization management sub-module, a data display sub-module and a decision input sub-module;
the authorization management submodule is used for carrying out authorization verification on decision-making personnel calling the operation data and the market research data in a dynamic verification mode;
the storage module is also used for sending the operation data and the market research data to the data display sub-module after the authorization verification is passed;
the data display submodule is used for receiving and displaying the operation data and the market research data sent from the storage module;
the decision input sub-module is used for inputting the operation decision by a decision maker according to the operation data and the market research data;
the storage module is also used for storing the operation decision.
The invention carries out authorization verification on decision-making personnel calling the business data and the market research data in a dynamic verification mode, and effectively solves the problem that the enterprise business decision is easy to be divulged because the authorization code is illegally acquired due to the adoption of the authorization code mode.
Specifically, the business data of the enterprise includes financial statements, organizational structures, and the like. The market research data includes market share, market demand, market supply, market development trend, etc.
Preferably, as shown in fig. 2, the authorization management submodule includes a storage unit, an image acquisition unit and an authorization verification unit;
the storage unit is used for storing face images of personnel with calling rights of the business data and the market research data;
the image acquisition unit is used for carrying out human body identification verification on the decision maker and acquiring a facial image of the decision maker after the decision maker passes the human body identification verification;
the authorization verification unit is used for matching the face image acquired by the image acquisition unit with the face image stored in the storage unit, if the matching is successful, the authorization verification is passed, and if the matching is failed, the authorization verification is failed.
The facial image of the decision maker in the invention is legally used.
Preferably, the performing human body identification verification on the decision-making person includes:
issuing a randomly selected action instruction to a decision maker;
shooting the face of a decision maker to obtain a video of the response of the decision maker to the action instruction in a preset time length;
carrying out frame splitting treatment on the video to obtain an image frame set;
and selecting an effective frame from the image frame set, judging whether a decision maker correctly reacts to the action instruction according to the effective frame, if so, indicating that the decision maker passes the human body identification verification, and if not, indicating that the decision maker does not pass the human body identification verification.
Preferably, the action instructions include head up, head down, etc.
Preferably, the selecting a valid frame from the image frame set includes:
numbering the image frames;
taking a first frame in the image frame set as a reference frame;
the active frame is acquired by:
and respectively calculating the similarity between other image frames in the image frame set and the reference frame, wherein the image frame with the similarity smaller than a preset similarity threshold value and the minimum number is used as an effective frame.
Specifically, the image frames may be numbered according to their shooting times.
For example, after a head-up instruction is given to a decision maker, the decision maker in an image frame of a front part in a video generally does not react yet, and as the number increases, the similarity between the image frame and a reference frame is smaller and smaller, and when the similarity is smaller to a certain extent, the decision maker is indicated to react correspondingly according to the action instruction. The frame at this time can be used as a valid frame.
Preferably, the determining whether the decision maker correctly reacts to the action instruction according to the valid frame includes:
preprocessing the effective frames to obtain preprocessed images;
inputting preprocessing into a pre-trained neural network model to identify actions of a decision maker in a preprocessed image, and if the actions of the decision maker in the preprocessed image are consistent with action instructions, indicating that the decision maker has correctly reacted to the action instructions; if the action of the decision maker in the preprocessed image is inconsistent with the action instruction, the decision maker does not react to the action instruction correctly.
Preferably, the preprocessing the valid frame to obtain a preprocessed image includes:
performing illumination adjustment processing on the effective frames to obtain illumination adjustment images:
if L (x, y) is less than or equal to bgthre, the illumination adjustment processing is carried out on the effective frames by adopting the following formula:
if L (x, y) > bgthre, the illumination adjustment process is performed on the effective frame using the following formula:
wherein L (x, y) represents a pixel value of a pixel point with a position (x, y) in the corresponding L component image in the Lab color space in the effective frame, bgthre represents a preset pixel value comparison threshold, bL (x, y) represents a pixel value obtained after illumination adjustment is performed on the pixel point with the position (x, y) in the L component image, and bL represents an image obtained after illumination adjustment is performed on all the pixel points in the L component image; alpha, beta, delta represent preset weight coefficients, thc represent a sign function, aveg 1 Average value of pixel values representing pixel points having pixel values smaller than bgthre in the L-component image, aveg 2 Representing an average value of pixel values of pixel points with pixel values larger than bgthre in the L component image, and epsilon represents a preset adjustment coefficient;
converting bL back to RGB color space to obtain an illumination adjustment image;
filtering the illumination adjustment image to obtain a preprocessed image:
carrying out graying treatment on the illumination image to obtain a graying image;
carrying out wavelet decomposition on the gray-scale image to obtain a wavelet high-frequency coefficient and a wavelet low-frequency coefficient;
the high frequency wavelet coefficients are processed as follows:
ahighfre(s)＝highfre(s)-thc[highfre(s)]×mi(highfre(s),mid×Θ)
wherein highfre(s) represents the s-th high-frequency wavelet coefficient before processing, ahigh fre(s) represents the result of processing highfre(s), mi represents the smaller value in brackets, mid represents the intermediate value of the wavelet high-frequency coefficient, s e [1,3], Γ represents the variance of gaussian filtering the graying image, k represents the preset adjustment coefficient;
the wavelet low frequency coefficients and ahighfre(s) are reconstructed to obtain a preprocessed image.
In the embodiment of the invention, the influence of the illumination condition on the judgment process of whether the action and the action instruction in the preprocessed image are consistent or not by the decision maker can be reduced by preprocessing the effective frame, so that the accuracy of action recognition is improved. Specifically, in the process of illumination adjustment, different processing functions are adaptively selected to perform adjustment processing through a preset pixel value comparison threshold, so that the accuracy of illumination adjustment processing results is improved. In addition, after the illumination adjustment processing, the method further carries out filtering processing on the obtained illumination adjustment image through wavelet decomposition to obtain a preprocessed image. In the filtering process, different high-frequency wavelet coefficients under the same decomposition scale are respectively processed, so that effective filtering of noise can be realized.
Preferably, the data display submodule comprises a template management unit, an index management unit and a display unit;
the template management unit is used for managing the display template by decision-making personnel;
the index management unit is used for managing the index by decision-making personnel;
the display unit is used for inputting the operation data and the market research data into the display template selected by the decision maker for display.
Preferably, the display template comprises the type of the index, the display mode of the index and the position of the index in the template.
Specifically, the index types include a income index, a expenditure index, a profit margin index, and the like. The display modes of the index include a histogram, a line graph, a region graph, a thermodynamic diagram, a quadrant graph, a relation graph, a radar graph and the like.
Preferably, the managing the presentation templates includes making presentation templates, modifying presentation templates, querying presentation templates, and deleting presentation templates.
Specifically, the display template is mainly made by customizing the type of the index contained in the template, the display mode of the index, the position in the index template and the like, and the display template can be queried according to the name of the template; modifying the presentation template is to modify the content contained in the presentation template, such as modifying the location of the index.
Preferably, the managing the index includes defining the index, deleting the index and querying the index.
Specifically, defining the index includes defining a name of the index, a calculation mode of the index, and the like. The index may be queried by name.
Preferably, the business decision includes a decision type, decision content and a decision maker name.
While embodiments of the invention have been shown and described, it will be understood by those skilled in the art that: many changes, modifications, substitutions and variations may be made to the embodiments without departing from the spirit and principles of the invention, the scope of which is defined by the claims and their equivalents.
It should be noted that, in each embodiment of the present invention, each functional unit/module may be integrated in one processing unit/module, or each unit/module may exist alone physically, or two or more units/modules may be integrated in one unit/module. The integrated units/modules described above may be implemented either in hardware or in software functional units/modules.
From the description of the embodiments above, it will be apparent to those skilled in the art that the embodiments described herein may be implemented in hardware, software, firmware, middleware, code, or any suitable combination thereof. For a hardware implementation, the processor may be implemented in one or more of the following units: an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a processor, a controller, a microcontroller, a microprocessor, other electronic units designed to perform the functions described herein, or a combination thereof. For a software implementation, some or all of the flow of an embodiment may be accomplished by a computer program to instruct the associated hardware.
When implemented, the above-described programs may be stored in or transmitted as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. The computer readable media can include, but is not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
Claims (6)
1. An enterprise digital operation decision-making management system is characterized by comprising a storage module and a decision-making management module;
the storage module is used for storing business data and market research data of enterprises;
the decision management module comprises an authorization management sub-module, a data display sub-module and a decision input sub-module;
the authorization management submodule is used for carrying out authorization verification on decision-making personnel calling the operation data and the market research data in a dynamic verification mode;
the storage module is also used for sending the operation data and the market research data to the data display sub-module after the authorization verification is passed;
the data display submodule is used for receiving and displaying the operation data and the market research data sent from the storage module;
the decision input sub-module is used for inputting the operation decision by a decision maker according to the operation data and the market research data;
the storage module is also used for storing the operation decision;
the authorization management submodule comprises a storage unit, an image acquisition unit and an authorization verification unit;
the storage unit is used for storing face images of personnel with calling rights of the business data and the market research data;
the image acquisition unit is used for carrying out human body identification verification on the decision maker and acquiring a facial image of the decision maker after the decision maker passes the human body identification verification;
the authorization verification unit is used for matching the face image acquired by the image acquisition unit with the face image stored in the storage unit, if the matching is successful, the authorization verification is passed, and if the matching is failed, the authorization verification is failed;
the human body identification verification of the decision-making personnel comprises the following steps:
issuing a randomly selected action instruction to a decision maker;
shooting the face of a decision maker to obtain a video of the response of the decision maker to the action instruction in a preset time length;
carrying out frame splitting treatment on the video to obtain an image frame set;
selecting an effective frame from the image frame set, judging whether a decision maker correctly reacts to the action instruction according to the effective frame, if so, indicating that the decision maker passes the human body identification verification, and if not, indicating that the decision maker does not pass the human body identification verification;
the selecting the effective frame from the image frame set comprises the following steps:
numbering the image frames;
taking a first frame in the image frame set as a reference frame;
the active frame is acquired by:
respectively calculating the similarity between other image frames in the image frame set and the reference frame, wherein the image frame with the similarity smaller than a preset similarity threshold value and the minimum number is used as an effective frame;
the judging whether the decision maker correctly reacts to the action instruction according to the valid frame comprises the following steps:
preprocessing the effective frames to obtain preprocessed images;
inputting preprocessing into a pre-trained neural network model to identify actions of a decision maker in a preprocessed image, and if the actions of the decision maker in the preprocessed image are consistent with action instructions, indicating that the decision maker has correctly reacted to the action instructions; if the action of the decision maker in the preprocessed image is inconsistent with the action instruction, the decision maker does not react to the action instruction correctly;
the preprocessing the effective frame to obtain a preprocessed image comprises the following steps:
performing illumination adjustment processing on the effective frames to obtain illumination adjustment images:
if L (x, y) is less than or equal to bgthre, the illumination adjustment processing is carried out on the effective frames by adopting the following formula:
if L (x, y) > bgthre, the illumination adjustment process is performed on the effective frame using the following formula:
wherein L (x, y) represents a pixel value of a pixel point with a position (x, y) in the corresponding L component image in the Lab color space in the effective frame, bgthre represents a preset pixel value comparison threshold, bL (x, y) represents a pixel value obtained after illumination adjustment is performed on the pixel point with the position (x, y) in the L component image, and bL represents an image obtained after illumination adjustment is performed on all the pixel points in the L component image; alpha, beta, delta represent preset weight coefficients, thc represent a sign function, aveg 1 Average value of pixel values representing pixel points having pixel values smaller than bgthre in the L-component image, aveg 2 Representing an average value of pixel values of pixel points with pixel values larger than bgthre in the L component image, and epsilon represents a preset adjustment coefficient;
converting bL back to RGB color space to obtain an illumination adjustment image;
filtering the illumination adjustment image to obtain a preprocessed image:
carrying out graying treatment on the illumination adjustment image to obtain a graying image;
carrying out wavelet decomposition on the gray-scale image to obtain a wavelet high-frequency coefficient and a wavelet low-frequency coefficient;
the high frequency wavelet coefficients are processed as follows:
ahighfre(s)＝highfre(s)-thc[highfre(s)]×mi(highfre(s),mid×Θ)
wherein highfre(s) represents the s-th high-frequency wavelet coefficient before processing, ahigh fre(s) represents the result of processing highfre(s), mi represents the smaller value in brackets, mid represents the intermediate value of the wavelet high-frequency coefficient, s e [1,3], Γ represents the variance of gaussian filtering the graying image, k represents the preset adjustment coefficient;
the wavelet low frequency coefficients and ahighfre(s) are reconstructed to obtain a preprocessed image.
2. The enterprise digital business decision management system of claim 1, wherein the data presentation submodule comprises a template management unit, an index management unit and a display unit;
the template management unit is used for managing the display template by decision-making personnel;
the index management unit is used for managing the index by decision-making personnel;
the display unit is used for inputting the operation data and the market research data into the display template selected by the decision maker for display.
3. The enterprise digital business decision management system of claim 2, wherein the presentation template comprises the type of the index, the display mode of the index and the position of the index in the template.
4. An enterprise digital business decision management system according to claim 3 and wherein said managing presentation templates comprises creating presentation templates, modifying presentation templates, querying presentation templates and deleting presentation templates.
5. The enterprise digital business decision management system of claim 2, wherein the managing of the metrics comprises defining the metrics, deleting the metrics, and querying the metrics.
6. An enterprise digitized business decision management system according to claim 1 wherein said business decisions comprise decision types, decision content and decision maker names.
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| CN113568934A (en) * | 2021-07-28 | 2021-10-29 | 平安银行股份有限公司 | Data query method and device, electronic equipment and storage medium |
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| US9082235B2 (en) * | 2011-07-12 | 2015-07-14 | Microsoft Technology Licensing, Llc | Using facial data for device authentication or subject identification |
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| US7092964B1 (en) * | 2001-06-22 | 2006-08-15 | Navteq North America, Llc | Method of collecting market research information |
| CN202230509U (en) * | 2011-06-24 | 2012-05-23 | 常州锐驰电子科技有限公司 | Face identification data management system |
| CN105975826A (en) * | 2016-04-20 | 2016-09-28 | 中国石油大学(华东) | Enterprise economic management information security system |
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