CN117608960A - Enterprise talent management and control system based on artificial intelligence - Google Patents
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Abstract
The invention provides an artificial intelligence-based enterprise talent management and control system, which is characterized in that after a mobile terminal held by an enterprise employee is identified, the mobile terminal is connected to an enterprise server, working service data is obtained by monitoring from the mobile terminal, screening pretreatment is carried out on the working service data, comprehensive data monitoring on the service processing process of the employee in the mobile terminal is realized, and an effective basis is provided for judging whether the service processing is normal or not subsequently; dividing the working service data into a plurality of working service sub-data and storing the working service sub-data into a cloud platform, so that the follow-up refined artificial intelligent analysis on the working service data is facilitated, and whether the working service is executed normally or not is judged; when the working service is not normally executed, the connection authority and/or the data interaction authority of the mobile terminal and the enterprise server are changed, so that the mobile terminal is prevented from generating data security threat to the enterprise server, the application program recovery processing is performed on the mobile terminal, and the operation safety and reliability of the mobile terminal are ensured.
Description
Technical Field
The invention relates to the field of artificial intelligence, in particular to an enterprise talent management and control system based on artificial intelligence.
Background
The enterprise talents can be equipped with special portable computers and other mobile terminals for processing work business, the mobile terminals are connected with the enterprise end server, the enterprise end server is used as a central control server and can conduct data interaction with the mobile terminals to provide corresponding data services for the mobile terminals, meanwhile, the mobile terminals can return business data formed in the process of processing the work business to the enterprise end server, so that the enterprise end server can directionally transmit the received business data to other mobile terminals, and overall management of data of all the mobile terminals is achieved. The existing enterprise server only plays a role in data interaction management of all accessed mobile terminals, can not timely and accurately check and process abnormal states of the mobile terminals in the process of processing work business, can not effectively standardize and control the behavior of enterprise talents in using the mobile terminals to process the work business, and reduces the operation safety and reliability of the mobile terminals and the enterprise server.
Disclosure of Invention
The invention aims to provide an artificial intelligence-based enterprise talent management and control system, which is characterized in that after a mobile terminal held by an enterprise employee is identified, the mobile terminal is connected to an enterprise server, working service data is obtained by monitoring from the mobile terminal, screening pretreatment is carried out on the working service data, comprehensive data monitoring is carried out on the service processing process of the employee in the mobile terminal, and an effective basis is provided for judging whether the service processing is normal or not subsequently; dividing the working service data into a plurality of working service sub-data and storing the working service sub-data into a cloud platform, so that the follow-up refined artificial intelligent analysis on the working service data is facilitated, and whether the working service is executed normally or not is judged; when the working service is not normally executed, the connection authority and/or the data interaction authority of the mobile terminal and the enterprise server are changed, so that the mobile terminal is prevented from generating data security threat to the enterprise server, the application program recovery processing is performed on the mobile terminal, and the operation safety and reliability of the mobile terminal are ensured.
The invention is realized by the following technical scheme:
enterprise talent management and control system based on artificial intelligence comprises:
the terminal connection identification module is used for identifying mobile terminals held by enterprise staff and connecting the mobile terminals to an enterprise terminal server;
the system comprises a working service data collection and preprocessing module, a service data processing module and a service data processing module, wherein the working service data collection and preprocessing module is used for monitoring the mobile terminal after the mobile terminal is connected with the enterprise terminal server, acquiring the working service data of the mobile terminal and screening and preprocessing the working service data;
the working business data classification storage module is used for dividing the working business data into a plurality of working business sub-data according to the terminal attribute of the mobile terminal and the data attribute of the working business data after screening pretreatment, and storing the working business sub-data into a cloud platform;
the data identification module is used for carrying out artificial intelligent analysis on the working service sub-data of the cloud platform and judging whether the corresponding working service execution process is in a normal state or not;
the terminal permission changing module is used for changing the connection permission of the mobile terminal and the enterprise terminal server and/or changing the data interaction permission of the mobile terminal and the cloud platform when the working service executing process is not in a normal state;
and the terminal checking and recovering module is used for checking and processing the application program in the mobile terminal when the execution process of the working service is not in a normal state, and recovering the application program of the mobile terminal according to the checking and processing result.
Optionally, the terminal connection identifying module is configured to identify a mobile terminal held by an enterprise employee, and connect the mobile terminal to an enterprise server, including:
searching connection request signals automatically sent by mobile terminals held by enterprise staff after the mobile terminals are started, analyzing the connection request signals obtained by searching, and determining the current position information and the motion state information of the mobile terminals;
and determining a wireless connection route matched with the mobile terminal based on the position information and the motion state information, and connecting the mobile terminal to an enterprise terminal server through the wireless connection route.
Optionally, analyzing the connection request signal obtained by searching to determine the current location information and motion state information of the mobile terminal, including:
performing signal intensity analysis on the connection request signal obtained by searching to obtain a real-time signal intensity value and a real-time signal intensity change rate value of the connection request signal; determining the current position information of the mobile terminal based on the real-time signal strength value; determining movement speed information of the mobile terminal based on the real-time signal strength change speed value;
determining a wireless connection route matched with the mobile terminal based on the position information and the motion state information, and connecting the mobile terminal to an enterprise terminal server through the wireless connection route, wherein the method comprises the following steps:
determining a wireless connection route with the strongest signal coverage performance between the wireless connection route and the mobile terminal based on the position information and the movement speed information; and after the mobile terminal is successfully authenticated through the wireless connection route, the mobile terminal is connected to an enterprise terminal server.
Optionally, the working service data collecting and preprocessing module is configured to monitor the mobile terminal after the mobile terminal is connected to the enterprise server, obtain working service data of the mobile terminal, and perform screening preprocessing on the working service data, where the method includes:
after the mobile terminal is connected with the enterprise server, analyzing the running log of the mobile terminal to obtain application program information of the mobile terminal in an active state at present; based on the application program information, monitoring a corresponding application program in the mobile terminal to acquire working service data of the application program; and then, carrying out data noise screening and removing pretreatment on the working service data.
Optionally, the working service data classification storage module is configured to divide the working service data into a plurality of working service sub-data according to terminal attributes of the mobile terminal and data attributes of the working service data after screening and preprocessing, and store the working service sub-data to a cloud platform, and includes:
and generating attribute time information according to the terminal identity attribute information of the mobile terminal and the data of the working service data subjected to screening pretreatment, classifying the working service data to obtain a plurality of working service sub-data which are generated in different time periods and related to the mobile terminal, and storing the working service sub-data in a corresponding storage section of a cloud platform.
Optionally, the data identification module is configured to perform artificial intelligent analysis on the working service sub-data of the cloud platform, and determine whether the corresponding working service execution process is in a normal state, including:
extracting a plurality of corresponding working service sub-data from the cloud platform according to the generating time sequence of the working service sub-data, performing artificial intelligent analysis on the extracted working service sub-data, and judging whether the extracted working service sub-data has data messy codes or data falsification marks or not;
if the extracted working service sub-data has data messy codes or data falsification marks, judging that the corresponding working service execution process is not in a normal state in the generation time period of the working service sub-data; if the extracted working service sub-data does not have data messy codes and data falsification marks, judging that the corresponding working service executing process is in a normal state in the generation time period of the working service sub-data.
Optionally, the terminal permission changing module is configured to change, when the working service executing process is not in a normal state, a connection permission of the mobile terminal and the enterprise end server, and/or change a data interaction permission of the mobile terminal and the cloud platform, where the method includes:
when the working service execution process is not in a normal state in a generation time period of a certain working service sub-data, based on the duration time of the abnormal state in the working service execution process, the allowable connection time of the mobile terminal and the enterprise terminal server is reduced, and/or the data interaction permission of the mobile terminal and the cloud platform is forbidden.
Optionally, the prohibiting the data interaction authority between the mobile terminal and the cloud platform includes:
step S1, when the data interaction authority of the mobile terminal and the cloud platform is required to be forbidden and the data interaction is not completed currently, the data of the current interaction is disturbed once by utilizing the following formula (1),
（1）
in the above-mentioned formula (1),representing 16-system data obtained by scrambling the data of the current interaction once;16-ary data representing data of the current interaction; />Indicating a cyclic right shift; />Representing a downward rounding; />Representing the total number of bits of data in brackets; />Representing exclusive OR;
step S2, after the primary scrambling is completed, comparing the original interaction data with the interaction data subjected to the primary scrambling by using the following formula (2) to judge whether secondary scrambling is needed,
（2）
in the above-mentioned formula (2),a control value indicating whether secondary scrambling is required; />The value in the bracket is 0, the function value of the zero value function is 1, and the value in the bracket is not 0, the function value of the zero value function is 0;
if it isThe need for secondary disruption is indicated;
if it isThe second scrambling is not needed;
step S2, if the secondary scrambling is needed, performing the secondary scrambling on the interactive data which is subjected to the primary scrambling according to the original interactive data by using the following formula (3),
（3）
in the above-mentioned formula (3),representing 16-system data after the interaction data which is subjected to primary scrambling is subjected to secondary scrambling; />Representing a right shift; />Representing the same or;
and prohibiting the data interaction permission of the mobile terminal and the cloud platform through the primary scrambling and the secondary scrambling.
Optionally, the terminal checking and recovering module is configured to perform checking processing on an application program in the mobile terminal when the execution process of the working service is not in a normal state, and perform application program recovering processing on the mobile terminal according to a result of the checking processing, where the method includes:
when the working service execution process is not in a normal state, background virus checking processing and/or background updating checking processing are carried out on application programs related to the working service execution process in the mobile terminal, and virus elimination processing and/or program patch updating processing are carried out on the related application programs according to the results of the background virus checking processing and/or the background updating checking processing.
Compared with the prior art, the invention has the following beneficial effects:
after the enterprise talent management and control system based on artificial intelligence provided by the application identifies the mobile terminal held by the enterprise staff, the mobile terminal is connected to the enterprise server, the working service data is obtained by monitoring from the mobile terminal, and screening pretreatment is carried out on the working service data, so that comprehensive data monitoring on the service processing process of the staff in the mobile terminal is realized, and an effective basis is provided for judging whether the service processing is normal or not subsequently; dividing the working service data into a plurality of working service sub-data and storing the working service sub-data into a cloud platform, so that the follow-up refined artificial intelligent analysis on the working service data is facilitated, and whether the working service is executed normally or not is judged; when the working service is not normally executed, the connection authority and/or the data interaction authority of the mobile terminal and the enterprise server are changed, so that the mobile terminal is prevented from generating data security threat to the enterprise server, the application program recovery processing is performed on the mobile terminal, and the operation safety and reliability of the mobile terminal are ensured.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
FIG. 1 is a schematic diagram of an artificial intelligence based enterprise talent management and control system.
Description of the embodiments
In order to make the above objects, features and advantages of the present application more comprehensible, embodiments accompanied with figures are described in detail below. It is to be understood that the specific embodiments described herein are for purposes of illustration only and are not limiting. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present application are shown in the drawings. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
The terms "comprising" and "having" and any variations thereof herein are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
Referring to fig. 1, an artificial intelligence-based talent management and control system for enterprises according to an embodiment of the present application includes:
the terminal connection identification module is used for identifying a mobile terminal held by an enterprise employee and connecting the mobile terminal to an enterprise terminal server;
the system comprises a working service data collection and preprocessing module, a service data processing module and a service data processing module, wherein the working service data collection and preprocessing module is used for monitoring the mobile terminal after the mobile terminal is connected with the enterprise server, acquiring the working service data of the mobile terminal and screening and preprocessing the working service data;
the working business data classification storage module is used for dividing the working business data into a plurality of working business sub-data according to the terminal attribute of the mobile terminal and the data attribute of the working business data after screening pretreatment, and storing the working business sub-data to the cloud platform;
the data identification module is used for carrying out artificial intelligent analysis on the working service sub-data of the cloud platform and judging whether the corresponding working service execution process is in a normal state or not;
the terminal permission changing module is used for changing the connection permission of the mobile terminal and the enterprise server and/or changing the data interaction permission of the mobile terminal and the cloud platform when the execution process of the working service is not in a normal state;
and the terminal checking and recovering module is used for checking and processing the application program in the mobile terminal when the execution process of the working service is not in a normal state, and recovering the application program of the mobile terminal according to the checking and processing result.
The enterprise talent management and control system based on the artificial intelligence has the beneficial effects that after the mobile terminal held by the enterprise staff is identified, the mobile terminal is connected to the enterprise server, the mobile terminal is monitored to obtain working service data, screening pretreatment is carried out on the working service data, comprehensive data monitoring is carried out on the staff in the service processing process of the mobile terminal, and an effective basis is provided for judging whether the service processing is normal or not subsequently; dividing the working service data into a plurality of working service sub-data and storing the working service sub-data into a cloud platform, so that the follow-up refined artificial intelligent analysis on the working service data is facilitated, and whether the working service is executed normally or not is judged; when the working service is not normally executed, the connection authority and/or the data interaction authority of the mobile terminal and the enterprise server are changed, so that the mobile terminal is prevented from generating data security threat to the enterprise server, the application program recovery processing is performed on the mobile terminal, and the operation safety and reliability of the mobile terminal are ensured.
In another embodiment, the terminal connection identification module is configured to identify a mobile terminal held by an employee of an enterprise, and connect the mobile terminal to an enterprise server, including:
searching connection request signals automatically sent by mobile terminals held by enterprise staff after the mobile terminals are started, analyzing the connection request signals obtained by searching, and determining the current position information and motion state information of the mobile terminals;
and determining a wireless connection route matched with the mobile terminal based on the position information and the motion state information, and connecting the mobile terminal to an enterprise end server through the wireless connection route.
The beneficial effects of the embodiment are that when the mobile terminal such as the smart phone or the portable computer held by the enterprise staff starts the power supply, the mobile terminal can automatically send out the connection request signal, the terminal connection identification module of the current area of the enterprise staff can search the connection request signal sent by the mobile terminal and analyze the connection request signal obtained by searching, so that the mobile terminal is positioned and detected in motion, the position information and the motion state information of the mobile terminal are obtained, the mobile terminal can be conveniently provided with the optimal wireless connection service, and the stable continuous wireless connection between the mobile terminal and the enterprise server is ensured.
In another embodiment, analyzing the connection request signal obtained by searching to determine the current location information and motion state information of the mobile terminal includes:
performing signal intensity analysis on the connection request signal obtained by searching to obtain a real-time signal intensity value and a real-time signal intensity change rate value of the connection request signal; determining the current position information of the mobile terminal based on the real-time signal strength value; determining movement speed information of the mobile terminal based on the real-time signal strength change rate value;
determining a wireless connection route matched with the mobile terminal based on the position information and the motion state information, and connecting the mobile terminal to an enterprise end server through the wireless connection route, comprising:
determining a wireless connection route with the strongest signal coverage performance between the mobile terminal based on the position information and the movement speed information; and after the mobile terminal is successfully authenticated through the wireless connection route, the mobile terminal is connected to an enterprise terminal server.
The above embodiment has the beneficial effects that in actual work, signal strength analysis is performed on the connection request signal obtained by searching to obtain a real-time signal strength value and a real-time signal strength change rate value of the connection request signal, and then calculation analysis is performed on the real-time signal strength value and the real-time signal strength change rate value to obtain the current position information and the current movement speed information of the mobile terminal, where the calculation analysis belongs to conventional technical means in the field, and is not described in detail herein. And comparing the wireless signal intensity distribution conditions of the current area of the enterprise staff based on the position information and the movement speed information of the mobile terminal, and determining the wireless connection route with the strongest signal coverage performance between the mobile terminal, so that the mobile terminal and the enterprise server can be ensured to perform stable and continuous wireless connection, and the data interaction reliability between the mobile terminal and the enterprise server is improved.
In another embodiment, the working service data collecting and preprocessing module is configured to monitor the mobile terminal after the mobile terminal is connected to the enterprise server, obtain working service data of the mobile terminal, and perform screening preprocessing on the working service data, where the method includes:
after the mobile terminal is connected with the enterprise server, analyzing the operation log of the mobile terminal to obtain application program information of the mobile terminal in an active state at present; based on the application program information, monitoring a corresponding application program in the mobile terminal to acquire working service data of the application program; and then, carrying out data noise screening and removing pretreatment on the working service data.
The method has the beneficial effects that after the mobile terminal is connected with the enterprise server, the operation log of the mobile terminal is analyzed to obtain the application program information (namely the name information of the application program or the program file directory address information of the mobile terminal) of the mobile terminal in an active state, then the corresponding application program in the mobile terminal is monitored according to the application program information, the working service data formed by the application program in the working service processing process is ensured to be obtained in real time, and then the working service data is subjected to data noise screening and removing pretreatment, so that the signal to noise ratio of the working service data is effectively improved.
In another embodiment, the working service data classification storage module is configured to divide the working service data into a plurality of working service sub-data according to terminal attributes of the mobile terminal and data attributes of the working service data after screening and preprocessing, and store the working service sub-data to a cloud platform, and includes:
and generating attribute time information according to the terminal identity attribute information of the mobile terminal and the data of the working service data subjected to screening pretreatment, classifying the working service data to obtain a plurality of working service sub-data which are generated in different time periods and related to the mobile terminal, and storing the working service sub-data in a corresponding storage section of a cloud platform.
The method has the beneficial effects that attribute time information is generated according to the terminal identity attribute information of the mobile terminal and the data of the working service data subjected to screening pretreatment, so that the working service data are divided into a plurality of working service sub-data which are generated in different time periods and related to the mobile terminal, and the working service sub-data are stored in a corresponding storage section of a cloud platform, the working service data are accurately classified, and effective and comprehensive data are provided for judging whether the working service executing process is normal or not.
In another embodiment, the data identification module is configured to perform artificial intelligent analysis on the working service sub-data of the cloud platform, and determine whether the corresponding working service execution process is in a normal state, including:
extracting a plurality of corresponding working service sub-data from the cloud platform according to the generating time sequence of the working service sub-data, performing artificial intelligent analysis on the extracted working service sub-data, and judging whether the extracted working service sub-data has data messy codes or data falsification marks or not;
if the extracted working service sub-data has data messy codes or data falsification marks, judging that the corresponding working service execution process is not in a normal state in the generation time period of the working service sub-data; if the extracted working service sub-data does not have data messy codes and data falsification marks, judging that the corresponding working service executing process is in a normal state in the generation time period of the working service sub-data.
The cloud platform has the beneficial effects that corresponding multiple pieces of work service sub-data are extracted from the cloud platform according to the generation time sequence of the work service sub-data, manual intelligent analysis is carried out, whether the extracted work service sub-data has data messy codes or data falsification marks is judged, and therefore whether the work service sub-data has abnormal conditions can be accurately and rapidly identified. If the extracted working service sub-data has data messy codes or data falsification marks, judging that the corresponding working service executing process is not in a normal state in the generation time period of the working service sub-data; if the extracted working service sub-data does not have data messy codes and data falsification marks, judging that the corresponding working service execution process is in a normal state in the generation time period of the working service sub-data, so that whether the whole working service execution process is in the normal state or not can be identified in time periods, and the follow-up targeted adjustment of the working authority of the mobile terminal is facilitated.
In another embodiment, the terminal permission changing module is configured to change, when the execution process of the working service is not in a normal state, a connection permission between the mobile terminal and the enterprise server, and/or a data interaction permission between the mobile terminal and the cloud platform, where the method includes:
when the working service execution process is not in a normal state in a generation time period of a certain working service sub-data, based on the duration time of the abnormal state in the working service execution process, the allowable connection time of the mobile terminal and the enterprise terminal server is reduced, and/or the data interaction permission of the mobile terminal and the cloud platform is forbidden.
The method and the device have the beneficial effects that when the generation time period of the sub-data of a certain working service is not in a normal state in the working service execution process, based on the duration time of the abnormal state in the working service execution process, the allowable connection time of the mobile terminal and the enterprise server is reduced, and/or the data interaction authority of the mobile terminal and the cloud platform is directly forbidden, so that the influence of the abnormal working of the mobile terminal on the normal working of the enterprise server can be avoided.
In another embodiment, the disabling the data interaction right between the mobile terminal and the cloud platform includes:
step S1, when the data interaction authority of the mobile terminal and the cloud platform is required to be forbidden and the data interaction is not completed currently, the data of the current interaction is disturbed once by utilizing the following formula (1),
（1）
in the above-mentioned formula (1),representing 16-system data obtained by scrambling the data of the current interaction once;16 advances of data representing current interactionsPreparing data; />Indicating a cyclic right shift; />Representing a downward rounding; />Representing the total number of bits of data in brackets; />Representing exclusive OR;
step S2, after the primary scrambling is completed, comparing the original interaction data with the interaction data subjected to the primary scrambling by using the following formula (2) to judge whether secondary scrambling is needed,
（2）
in the above-mentioned formula (2),a control value indicating whether secondary scrambling is required; />The value in the bracket is 0, the function value of the zero value function is 1, and the value in the bracket is not 0, the function value of the zero value function is 0;
if it isThe need for secondary disruption is indicated;
if it isThe second scrambling is not needed;
step S2, if the secondary scrambling is needed, performing the secondary scrambling on the interactive data which is subjected to the primary scrambling according to the original interactive data by using the following formula (3),
（3）
in the above-mentioned formula (3),representing 16-system data after the interaction data which is subjected to primary scrambling is subjected to secondary scrambling; />Representing a right shift; />Representing the same or;
and prohibiting the data interaction permission of the mobile terminal and the cloud platform through the primary scrambling and the secondary scrambling.
The beneficial effects of the embodiment are that the data of the current interaction is disturbed once by utilizing the formula (1), so that the data of the actual transmission and the data of the disturbed transmission are confused; and then, the formula (2) is utilized to compare the original interaction data with the interaction data subjected to primary scrambling, and whether secondary scrambling is needed or not is judged, so that whether scrambling is thorough or not is conveniently judged, and reverse calculation is prevented; and finally, performing secondary scrambling on the interactive data which is subjected to primary scrambling according to the original interactive data by utilizing the formula (3), thereby realizing the aim of prohibiting the data in the interaction.
In another embodiment, the terminal checking and recovering module is configured to perform a checking process on an application program in the mobile terminal when the execution process of the working service is not in a normal state, and perform an application program recovering process on the mobile terminal according to a result of the checking process, including:
when the working service executing process is not in a normal state, background virus checking processing and/or background updating checking processing are/is carried out on the application program which is related to the working service executing process in the mobile terminal, and virus eliminating processing and/or program patch updating processing are carried out on the related application program according to the result of the background virus checking processing and/or the background updating checking processing.
The method has the advantages that when the working service execution process is not in a normal state, background virus check processing and/or background update check processing are carried out on the application program which is related to the working service execution process and inside the mobile terminal, directional virus elimination processing and/or program patch update processing are carried out on the mobile terminal, so that the potential safety hazards of the working of the mobile terminal are eliminated, and the data security of the mobile terminal and an enterprise server is improved.
In general, the enterprise talent management and control system based on artificial intelligence connects a mobile terminal to an enterprise server after identifying the mobile terminal held by an enterprise employee, monitors and obtains working service data from the mobile terminal, and performs screening pretreatment on the working service data, so that comprehensive data monitoring on the service processing process of the employee in the mobile terminal is realized, and an effective basis is provided for judging whether the service processing is normal or not subsequently; dividing the working service data into a plurality of working service sub-data and storing the working service sub-data into a cloud platform, so that the follow-up refined artificial intelligent analysis on the working service data is facilitated, and whether the working service is executed normally or not is judged; when the working service is not normally executed, the connection authority and/or the data interaction authority of the mobile terminal and the enterprise server are changed, so that the mobile terminal is prevented from generating data security threat to the enterprise server, the application program recovery processing is performed on the mobile terminal, and the operation safety and reliability of the mobile terminal are ensured.
The foregoing is merely one specific embodiment of the invention, and any modifications made in light of the above teachings are intended to fall within the scope of the invention.
Claims (9)
1. Enterprise talent management and control system based on artificial intelligence, which is characterized by comprising:
the terminal connection identification module is used for identifying mobile terminals held by enterprise staff and connecting the mobile terminals to an enterprise terminal server;
the system comprises a working service data collection and preprocessing module, a service data processing module and a service data processing module, wherein the working service data collection and preprocessing module is used for monitoring the mobile terminal after the mobile terminal is connected with the enterprise terminal server, acquiring the working service data of the mobile terminal and screening and preprocessing the working service data;
the working business data classification storage module is used for dividing the working business data into a plurality of working business sub-data according to the terminal attribute of the mobile terminal and the data attribute of the working business data after screening pretreatment, and storing the working business sub-data into a cloud platform;
the data identification module is used for carrying out artificial intelligent analysis on the working service sub-data of the cloud platform and judging whether the corresponding working service execution process is in a normal state or not;
the terminal permission changing module is used for changing the connection permission of the mobile terminal and the enterprise terminal server and/or changing the data interaction permission of the mobile terminal and the cloud platform when the working service executing process is not in a normal state;
and the terminal checking and recovering module is used for checking and processing the application program in the mobile terminal when the execution process of the working service is not in a normal state, and recovering the application program of the mobile terminal according to the checking and processing result.
2. The artificial intelligence based talent management and control system for enterprises as set forth in claim 1, wherein:
the terminal connection identification module is used for identifying mobile terminals held by enterprise staff, and connecting the mobile terminals to an enterprise server, and comprises:
searching connection request signals automatically sent by mobile terminals held by enterprise staff after the mobile terminals are started, analyzing the connection request signals obtained by searching, and determining the current position information and the motion state information of the mobile terminals;
and determining a wireless connection route matched with the mobile terminal based on the position information and the motion state information, and connecting the mobile terminal to an enterprise terminal server through the wireless connection route.
3. The artificial intelligence based talent management and control system for enterprises as set forth in claim 2, wherein:
analyzing the connection request signal obtained by searching, determining the current position information and the motion state information of the mobile terminal, wherein the method comprises the following steps:
performing signal intensity analysis on the connection request signal obtained by searching to obtain a real-time signal intensity value and a real-time signal intensity change rate value of the connection request signal; determining the current position information of the mobile terminal based on the real-time signal strength value; determining movement speed information of the mobile terminal based on the real-time signal strength change speed value;
determining a wireless connection route matched with the mobile terminal based on the position information and the motion state information, and connecting the mobile terminal to an enterprise terminal server through the wireless connection route, wherein the method comprises the following steps:
determining a wireless connection route with the strongest signal coverage performance between the wireless connection route and the mobile terminal based on the position information and the movement speed information; and after the mobile terminal is successfully authenticated through the wireless connection route, the mobile terminal is connected to an enterprise terminal server.
4. The artificial intelligence based talent management and control system for enterprises as set forth in claim 1, wherein:
the working service data collection and preprocessing module is used for monitoring the mobile terminal after the mobile terminal is connected with the enterprise terminal server, obtaining the working service data of the mobile terminal, and screening and preprocessing the working service data, and comprises the following steps:
after the mobile terminal is connected with the enterprise server, analyzing the running log of the mobile terminal to obtain application program information of the mobile terminal in an active state at present; based on the application program information, monitoring a corresponding application program in the mobile terminal to acquire working service data of the application program; and then, carrying out data noise screening and removing pretreatment on the working service data.
5. The artificial intelligence based talent management and control system for enterprises as set forth in claim 1, wherein:
the working service data classification storage module is used for dividing the working service data into a plurality of working service sub-data according to the terminal attribute of the mobile terminal and the data attribute of the working service data after screening pretreatment, and storing the working service sub-data to a cloud platform, and comprises the following steps:
and generating attribute time information according to the terminal identity attribute information of the mobile terminal and the data of the working service data subjected to screening pretreatment, classifying the working service data to obtain a plurality of working service sub-data which are generated in different time periods and related to the mobile terminal, and storing the working service sub-data in a corresponding storage section of a cloud platform.
6. The artificial intelligence based talent management and control system for enterprises as set forth in claim 1, wherein:
the data identification module is used for carrying out artificial intelligent analysis on the work service sub-data of the cloud platform and judging whether the corresponding work service execution process is in a normal state or not, and comprises the following steps:
extracting a plurality of corresponding working service sub-data from the cloud platform according to the generating time sequence of the working service sub-data, performing artificial intelligent analysis on the extracted working service sub-data, and judging whether the extracted working service sub-data has data messy codes or data falsification marks or not;
if the extracted working service sub-data has data messy codes or data falsification marks, judging that the corresponding working service execution process is not in a normal state in the generation time period of the working service sub-data; if the extracted working service sub-data does not have data messy codes and data falsification marks, judging that the corresponding working service executing process is in a normal state in the generation time period of the working service sub-data.
7. The artificial intelligence based talent management and control system for enterprises as set forth in claim 6, wherein:
the terminal authority changing module is configured to change, when the execution process of the working service is not in a normal state, a connection authority of the mobile terminal and the enterprise server, and/or change a data interaction authority of the mobile terminal and the cloud platform, where the method includes:
when the working service execution process is not in a normal state in a generation time period of a certain working service sub-data, based on the duration time of the abnormal state in the working service execution process, the allowable connection time of the mobile terminal and the enterprise terminal server is reduced, and/or the data interaction permission of the mobile terminal and the cloud platform is forbidden.
8. The artificial intelligence based talent management and control system for enterprises as set forth in claim 7, wherein:
the prohibiting the data interaction permission of the mobile terminal and the cloud platform comprises the following steps:
step S1, when the data interaction authority of the mobile terminal and the cloud platform is required to be forbidden and the data interaction is not completed currently, the data of the current interaction is disturbed once by utilizing the following formula (1),
（1）
in the above-mentioned formula (1),representing 16-system data obtained by scrambling the data of the current interaction once; />Indicating when16-ary data of the previously interacted data; />Indicating a cyclic right shift; />Representing a downward rounding; />Representing the total number of bits of data in brackets; />Representing exclusive OR;
step S2, after the primary scrambling is completed, comparing the original interaction data with the interaction data subjected to the primary scrambling by using the following formula (2) to judge whether secondary scrambling is needed,
（2）
in the above-mentioned formula (2),a control value indicating whether secondary scrambling is required; />The value in the bracket is 0, the function value of the zero value function is 1, and the value in the bracket is not 0, the function value of the zero value function is 0;
if it isThe need for secondary disruption is indicated;
if it isThe second scrambling is not needed;
step S2, if the secondary scrambling is needed, performing the secondary scrambling on the interactive data which is subjected to the primary scrambling according to the original interactive data by using the following formula (3),
（3）
in the above-mentioned formula (3),representing 16-system data after the interaction data which is subjected to primary scrambling is subjected to secondary scrambling; />Representing a right shift; />Representing the same or;
and prohibiting the data interaction permission of the mobile terminal and the cloud platform through the primary scrambling and the secondary scrambling.
9. The artificial intelligence based talent management and control system for enterprises as set forth in claim 1, wherein:
the terminal checking and recovering module is used for checking and processing the application program in the mobile terminal when the execution process of the working service is not in a normal state, and recovering the application program of the mobile terminal according to the checking and processing result, and comprises the following steps:
when the working service execution process is not in a normal state, background virus checking processing and/or background updating checking processing are carried out on application programs related to the working service execution process in the mobile terminal, and virus elimination processing and/or program patch updating processing are carried out on the related application programs according to the results of the background virus checking processing and/or the background updating checking processing.
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