CN109726981A - A kind of enterprise management method with deep learning and semantics recognition and analysis - Google Patents
A kind of enterprise management method with deep learning and semantics recognition and analysis Download PDFInfo
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- CN109726981A CN109726981A CN201811517982.6A CN201811517982A CN109726981A CN 109726981 A CN109726981 A CN 109726981A CN 201811517982 A CN201811517982 A CN 201811517982A CN 109726981 A CN109726981 A CN 109726981A
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Abstract
The invention discloses a kind of enterprise management method with deep learning and semantics recognition and analysis, the following steps are included: logging in enterprise APP, background server obtains personal information, log in enterprise APP, the following steps are included: input personal information, and send and apply to background server, personal information includes job information, specialized information and mission bit stream.A kind of enterprise management method with deep learning and semantics recognition and analysis of the present invention, first, the promotion of profile can preferably be promoted, simultaneously, improve the cohesiveness of enterprise, it is also the affirmative to profile, individual is avoided to be unable to get progress, to influence the development speed of enterprise, secondly, profile's makes rational planning for, cooperation combines enterprise to be planned, the culture to enterprise's related capabilities, the synchronous growth for promoting enterprise can be improved while promoting profile to be promoted, it realizes win-win & mutual benefit, brings better prospect of the application.
Description
Technical field
The present invention relates to business administration field, in particular to a kind of enterprise with deep learning and semantics recognition and analysis
Management method.
Background technique
Business administration, it is that production and operating activities to enterprise carry out a system such as tissue, plan, commander, supervision and adjusting
The general name for arranging function has comparable levels of organization leadership and pipe as the corporate boss, CEO and top management team of enterprise soul personage
Reason ability is that business administration is most important, and financial management is one of main content of business administration；
There are certain drawbacks when in use in existing enterprise management method, (1), due to enterprise it is larger, be difficult to all
The ability of employee is timely understood, and profile can only be judged by various vouchers, while enterprise can only learn by setting up
Class etc. is practised, the ability of worker is improved, this process needs a large amount of manpower and expenditure, influences job schedule, while everyone
Learning ability it is different, be difficult to accomplish unification, secondly as the difference of profile, ability sockdolager cannot be timely
It reuses, influences the reasonable utilization of human resources；(2), existing business decision is all to be formulated by management level, but manage
Layer personnel cannot timely understand change etc. of the market to product demand, at the same the gathering method of existing market information simply by
There is very big unstability in questionnaire, this management method, meanwhile, poor in timeliness, specific aim are weaker, the data knot obtained
Fruit is not often high to the reference value of enterprise's production, for this purpose, it is proposed that a kind of have deep learning and semantics recognition and analysis
Enterprise management method.
Summary of the invention
The main purpose of the present invention is to provide a kind of business administration side with deep learning and semantics recognition and analysis
Method can effectively solve the problems in background technique.
To achieve the above object, the technical scheme adopted by the invention is as follows:
A kind of enterprise management method with deep learning and semantics recognition and analysis, comprising the following steps:
(1), enterprise APP is logged in, background server obtains personal information；
(2), background server sends Learning Scheme, study schedule, data and bulletin to individual according to personal information；
(3), background server carries out just audit to personal or group's ability according to study schedule, and audit is set up in enterprise later
Meeting carries out second trial；
(4), second trial, market situation are analyzed together with enterprise's big data, adjusts enterprise management mode.
Preferably, in the step (1), enterprise APP is logged in, comprising the following steps:
(1.1), personal information is inputted, and sends and applies to background server；
(1.2), background server receives application, and personal relevant information is obtained from database, shows individual application's result.
Preferably, in the step (1.2), personal information includes job information, specialized information and mission bit stream, works as application
When qualified, Entry Firm background server understands company information: when applying for unqualified, sending underproof information to individual.
Preferably, in the step (2), Learning Scheme: according to profile's information, company's trade information combination big data
Information comprehensive analysis sends 2-3 kind Learning Scheme to individual；Data: including written historical materials and video data, background server inspection
Survey study schedule.
Preferably, in the step (2), bulletin includes voice messaging, text information and video information, and background server is logical
Semantics recognition and analysis are crossed, the bulletin to after personal transmission discriminance analysis.
Preferably, in the step (3), audit meeting the following steps are included:
(3.1), background server understands learning Content by Learning Scheme, and it is logical that Xiang Qiye relevant departments issue screen audit
Know, carries out screen audit；
(3.2), according to screen auditing result, auditing result is sent to individual.
Preferably, in the step (3.1), it is 5-9 people that screen, which audits number, and every 30-60d organizes a screen audit.
Preferably, in the step (4), enterprise's big data, including enterprise management level decision data and local decision making data.
Compared with prior art, the invention has the following beneficial effects:
1, it is made rational planning for by what is promoted to profile, can preferably promote the promotion of profile, meanwhile, it improves
The cohesiveness of enterprise, and to the affirmative of profile, individual is avoided to be unable to get progress, to influence the development speed of enterprise
Degree；
2, profile makes rational planning for, and cooperation combines enterprise to be planned, can be to promote profile to be promoted same
Culture of the Shi Tigao to enterprise's related capabilities, the synchronous growth for promoting enterprise, realizes win-win & mutual benefit；
3, by by auditing result, market situation together with enterprise's big data comprehensive analysis, can preferably obtain enterprise
Development and improvement direction, by enterprise's big data, the bottom-up employee of enterprise is provided with certain decision-making power, they are chronically at life
The line produced, focuses more on product function, improved method, market prospects, can quickly adjust decision when something goes wrong, preferably
It determines developing direction, and carries out continuous improvement and promoted.
Detailed description of the invention
Fig. 1, which is that the present invention is a kind of, makes overall structure with deep learning and semantics recognition and the enterprise management method of analysis
Flow chart.
Specific embodiment
To be easy to understand the technical means, the creative features, the aims and the efficiencies achieved by the present invention, below with reference to
Specific embodiment, the present invention is further explained.
Embodiment 1
As shown in Figure 1, comprising the following steps:
(1), enterprise APP is logged in, background server obtains personal information, logs in enterprise APP, comprising the following steps:
(1.1), personal information is inputted, and sends and applies to background server, personal information includes job information, profession letter
Breath and mission bit stream, when applying for qualified, Entry Firm background server understands company information: when applying for unqualified, to a
Human hair send underproof information；
(1.2), background server receives application, and personal relevant information is obtained from database, shows individual application's result；
(2), background server sends Learning Scheme, study schedule, data and bulletin to individual, learns according to personal information
Habit scheme: according to profile's information, company's trade information combination big data information comprehensive analysis, 3 kinds is sent to individual and is learnt
Scheme；Data: including written historical materials and video data, background server detects study schedule, and bulletin includes voice messaging, text
Information and video information, bulletin of the background server by semantics recognition and analysis, to after personal transmission discriminance analysis；
(3), background server carries out just audit to personal or group's ability according to study schedule, and audit is set up in enterprise later
Meeting carry out second trial, audit meeting the following steps are included:
(3.1), background server understands learning Content by Learning Scheme, and it is logical that Xiang Qiye relevant departments issue screen audit
Know, carry out screen audit, it is 7 people that screen, which audits number, and every 30d organizes a screen audit；
(3.2), according to screen auditing result, auditing result is sent to individual；
(4), second trial, market situation are analyzed together with enterprise's big data, enterprise's big data, including enterprise management level decision
Data and local decision making data adjust enterprise management mode.
Embodiment 2
The following steps are included:
(1), enterprise APP is logged in, background server obtains personal information, logs in enterprise APP, comprising the following steps:
(1.1), personal information is inputted, and sends and applies to background server, personal information includes job information, profession letter
Breath and mission bit stream, when applying for qualified, Entry Firm background server understands company information: when applying for unqualified, to a
Human hair send underproof information；
(1.2), background server receives application, and personal relevant information is obtained from database, shows individual application's result；
(2), background server sends Learning Scheme, study schedule, data and bulletin to individual, learns according to personal information
Habit scheme: according to profile's information, company's trade information combination big data information comprehensive analysis, 3 kinds is sent to individual and is learnt
Scheme；Data: including written historical materials and video data, background server detects study schedule, and bulletin includes voice messaging, text
Information and video information, bulletin of the background server by semantics recognition and analysis, to after personal transmission discriminance analysis；
(3), background server carries out just audit to personal or group's ability according to study schedule, and audit is set up in enterprise later
Meeting carry out second trial, audit meeting the following steps are included:
(3.1), background server understands learning Content by Learning Scheme, and it is logical that Xiang Qiye relevant departments issue screen audit
Know, carry out screen audit, it is 7 people that screen, which audits number, and every 45d organizes a screen audit；
(3.2), according to screen auditing result, auditing result is sent to individual；
(4), second trial, market situation are analyzed together with enterprise's big data, enterprise's big data, including enterprise management level decision
Data and local decision making data adjust enterprise management mode.
Embodiment 3
As shown in Figure 1, comprising the following steps:
(1), enterprise APP is logged in, background server obtains personal information, logs in enterprise APP, comprising the following steps:
(1.1), personal information is inputted, and sends and applies to background server, personal information includes job information, profession letter
Breath and mission bit stream, when applying for qualified, Entry Firm background server understands company information: when applying for unqualified, to a
Human hair send underproof information；
(1.2), background server receives application, and personal relevant information is obtained from database, shows individual application's result；
(2), background server sends Learning Scheme, study schedule, data and bulletin to individual, learns according to personal information
Habit scheme: according to profile's information, company's trade information combination big data information comprehensive analysis, 3 kinds is sent to individual and is learnt
Scheme；Data: including written historical materials and video data, background server detects study schedule, and bulletin includes voice messaging, text
Information and video information, bulletin of the background server by semantics recognition and analysis, to after personal transmission discriminance analysis；
(3), background server carries out just audit to personal or group's ability according to study schedule, and audit is set up in enterprise later
Meeting carry out second trial, audit meeting the following steps are included:
(3.1), background server understands learning Content by Learning Scheme, and it is logical that Xiang Qiye relevant departments issue screen audit
Know, carry out screen audit, it is 7 people that screen, which audits number, and every 60d organizes a screen audit；
(3.2), according to screen auditing result, auditing result is sent to individual；
(4), second trial, market situation are analyzed together with enterprise's big data, enterprise's big data, including enterprise management level decision
Data and local decision making data adjust enterprise management mode, and business administration and enterprise's base connection layer are got up, and raising enterprise is to base
The attention degree of layer.
Table 1 is under screen audit times different in Examples 1 to 3, and the quantity and audit funds of enterprise's problem test knot
Fruit is as follows:
By 1 experimental data of table it is found that the present invention has deep learning and semantics recognition and the enterprise management method of analysis, with
The continuous extension of audit time, the quantity of enterprise's problem also constantly increase, the excessive development for influencing enterprise of problem accumulation into
Degree, and as can be seen from Table 1, realization video audit is needed using a large amount of funds, while being held video audit and being needed to spend greatly
The time of amount, time interval is too short, is difficult adequately to be prepared, and influences to audit effect, separately embodiment 2 as shown in Table 1
For optimal selection.
The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention.The technology of the industry
Personnel are it should be appreciated that the present invention is not limited to the above embodiments, and the above embodiments and description only describe this
The principle of invention, without departing from the spirit and scope of the present invention, various changes and improvements may be made to the invention, these changes
Change and improvement all fall within the protetion scope of the claimed invention.The claimed scope of the invention by appended claims and its
Equivalent thereof.
Claims (8)
1. a kind of enterprise management method with deep learning and semantics recognition and analysis, comprising the following steps:
(1), enterprise APP is logged in, background server obtains personal information；
(2), background server sends Learning Scheme, study schedule, data and bulletin to individual according to personal information；
(3), background server carries out just audit to personal or group's ability according to study schedule, and audit meeting is set up in enterprise later
Carry out second trial；
(4), second trial, market situation are analyzed together with enterprise's big data, adjusts enterprise management mode.
2. a kind of enterprise management method with deep learning and semantics recognition and analysis according to claim 1, special
Sign is: in the step (1), logging in enterprise APP, comprising the following steps:
(1.1), personal information is inputted, and sends and applies to background server；
(1.2), background server receives application, and personal relevant information is obtained from database, shows individual application's result.
3. a kind of enterprise management method with deep learning and semantics recognition and analysis according to claim 2, special
Sign is: in the step (1.2), personal information includes job information, specialized information and mission bit stream, when applying for qualified,
Entry Firm background server understands company information: when applying for unqualified, sending underproof information to individual.
4. a kind of enterprise management method with deep learning and semantics recognition and analysis according to claim 1, special
Sign is: in the step (2), Learning Scheme: according to profile's information, company's trade information combination big data informix
Analysis sends 2-3 kind Learning Scheme to individual；Data: including written historical materials and video data, background server detection learn into
Degree.
5. a kind of enterprise management method with deep learning and semantics recognition and analysis according to claim 1, special
Sign is: in the step (2), bulletin includes voice messaging, text information and video information, and background server is known by semantic
Not with analysis, to the personal bulletin sent after discriminance analysis.
6. a kind of enterprise management method with deep learning and semantics recognition and analysis according to claim 1, special
Sign is: in the step (3), audit meeting the following steps are included:
(3.1), background server understands learning Content by Learning Scheme, and Xiang Qiye relevant departments issue screen advice audit,
Carry out screen audit；
(3.2), according to screen auditing result, auditing result is sent to individual.
7. a kind of enterprise management method with deep learning and semantics recognition and analysis according to claim 6, special
Sign is: in the step (3.1), it is 5-9 people that screen, which audits number, and every 30-60d organizes a screen audit.
8. a kind of enterprise management method with deep learning and semantics recognition and analysis according to claim 1, special
Sign is: in the step (4), enterprise's big data, including enterprise management level decision data and local decision making data.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110489458A (en) * | 2019-07-31 | 2019-11-22 | 广州竞德信息技术有限公司 | Analysis method based on semantics recognition |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050267808A1 (en) * | 2004-05-28 | 2005-12-01 | Bentley Alfred Y Iii | Innovation signature management system |
| CN101650809A (en) * | 2009-09-10 | 2010-02-17 | 上海一佳一网络科技有限公司 | Method and system for managing post capability training |
| CN103246963A (en) * | 2013-05-24 | 2013-08-14 | 上海和伍新材料科技有限公司 | Staff training system based on Internet of Things |
| CN103927636A (en) * | 2014-05-03 | 2014-07-16 | 吉林医药学院附属医院 | Medical institution employee educational training management system and method |
| CN106710337A (en) * | 2016-12-20 | 2017-05-24 | 成都远策数码科技有限公司 | Learning progress record pushing system and method for education platform |
| CN107194547A (en) * | 2017-05-03 | 2017-09-22 | 北京海顿中科技术有限公司 | Enterprises ' Management Training method and system |
| CN107195212A (en) * | 2017-05-11 | 2017-09-22 | 安徽讯呼信息科技有限公司 | A kind of Distance Education Service system based on internet |
-
2018
- 2018-12-12 CN CN201811517982.6A patent/CN109726981A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050267808A1 (en) * | 2004-05-28 | 2005-12-01 | Bentley Alfred Y Iii | Innovation signature management system |
| CN101650809A (en) * | 2009-09-10 | 2010-02-17 | 上海一佳一网络科技有限公司 | Method and system for managing post capability training |
| CN103246963A (en) * | 2013-05-24 | 2013-08-14 | 上海和伍新材料科技有限公司 | Staff training system based on Internet of Things |
| CN103927636A (en) * | 2014-05-03 | 2014-07-16 | 吉林医药学院附属医院 | Medical institution employee educational training management system and method |
| CN106710337A (en) * | 2016-12-20 | 2017-05-24 | 成都远策数码科技有限公司 | Learning progress record pushing system and method for education platform |
| CN107194547A (en) * | 2017-05-03 | 2017-09-22 | 北京海顿中科技术有限公司 | Enterprises ' Management Training method and system |
| CN107195212A (en) * | 2017-05-11 | 2017-09-22 | 安徽讯呼信息科技有限公司 | A kind of Distance Education Service system based on internet |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110489458A (en) * | 2019-07-31 | 2019-11-22 | 广州竞德信息技术有限公司 | Analysis method based on semantics recognition |
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