CN111311192B - Artificial intelligence enterprise management method and system combining block chains and big data - Google Patents
Artificial intelligence enterprise management method and system combining block chains and big data Download PDFInfo
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- CN111311192B CN111311192B CN202010119458.4A CN202010119458A CN111311192B CN 111311192 B CN111311192 B CN 111311192B CN 202010119458 A CN202010119458 A CN 202010119458A CN 111311192 B CN111311192 B CN 111311192B
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Abstract
The invention discloses an artificial intelligence enterprise management method combining a block chain and big data.A certification unit certifies the identity information of enterprise personnel and generates identity certification information; the mobile communication equipment interacts with enterprise personnel in real time, receives the public information from the internal information public unit and interacts with the enterprise personnel; the big data processing unit receives and processes the big data from each unit; the information compression unit receives the comprehensive personnel reflection information and the identity authentication information from the big data processing unit, and combines and compresses the comprehensive personnel reflection information and the identity authentication information of corresponding enterprise personnel to form personnel feedback information; the internal information disclosure unit receives the personnel feedback information from the big data processing unit and discloses the personnel feedback information to the mobile communication equipment; the storage unit receives the personnel feedback information from the big data processing unit and stores all the personnel feedback information into the block chain.
Description
Technical Field
The invention belongs to the field of artificial intelligence, and particularly relates to an artificial intelligence enterprise management method and system combining a block chain and big data.
Background
In the daily office and management process of enterprises, most of the enterprises still often adopt paper files to transmit work information and feed back work conditions, and the process is time-consuming and labor-consuming, wastes paper greatly and does not meet the requirement of sustainable development of modern social resources. In addition, utilize traditional work information transfer mode, be unfavorable for the dynamic real-time transmission of information between each department of enterprise and know, have influence to enterprise personnel's work efficiency, the inconvenient systematic office management.
Due to the rapid development of information technology, artificial intelligence technology and block chain technology have been applied in many fields, which facilitate people's lives in various aspects, while in emergency handling of events, a single intelligent management system is insufficient in terms of processing efficiency, relatively long in response time, and easily causes confusion of system operation. The signal transmission mode among all module units of the system is single, and all the units cannot utilize the states of other units to carry out real-time adjustment, so that the positioning accuracy of a system to-be-processed target is reduced, the communication network is unstable in operation, and the processing result is unsatisfactory.
Disclosure of Invention
The invention provides an artificial intelligence enterprise management method and system combining a block chain and big data to solve the problems.
An artificial intelligence enterprise management method combining a blockchain and big data comprises the following steps:
the method comprises the following steps that firstly, an authentication unit authenticates identity information of enterprise personnel, generates identity authentication information and sends the identity authentication information to a big data processing unit;
step two, the mobile communication equipment interacts with enterprise personnel in real time, receives the public information from the internal information public unit, interacts with the enterprise personnel and sends personnel comprehensive reflection information to the big data processing unit;
step three, the big data processing unit receives and processes the big data from each unit;
the information compression unit receives the comprehensive personnel reflection information and the identity authentication information from the big data processing unit, and combines and compresses the comprehensive personnel reflection information and the identity authentication information of corresponding enterprise personnel to form personnel feedback information which is sent to the big data processing unit;
step five, the internal information disclosure unit receives the personnel feedback information from the big data processing unit and discloses the personnel feedback information to the mobile communication equipment;
and step six, the storage unit receives the personnel feedback information from the big data processing unit and stores all the personnel feedback information into the block chain.
A management system of the artificial intelligence enterprise management method according to the combined block chain and big data comprises the following steps:
the authentication unit is used for authenticating identity information of enterprise personnel, generating identity authentication information and sending the identity authentication information to the big data processing unit;
the mobile communication equipment is used for receiving the public information from the internal information public unit, interacting with enterprise personnel and sending personnel comprehensive reflection information to the big data processing unit;
the big data processing unit is used for receiving and processing the data information from each unit;
the information compression unit is used for receiving the comprehensive personnel reflection information and the identity authentication information from the big data processing unit, combining and compressing the comprehensive personnel reflection information and the identity authentication information of the corresponding enterprise personnel to form personnel feedback information and sending the personnel feedback information to the big data processing unit;
the internal information disclosure unit is used for receiving the personnel feedback information from the big data processing unit and disclosing the personnel feedback information to the mobile communication equipment;
and the storage unit is used for receiving the personnel feedback information from the big data processing unit and storing all the personnel feedback information into the block chain.
According to the invention, big data processing and artificial intelligence technologies are applied to enterprise management, so that the emergency processing efficiency of information transmission and management of enterprise personnel is improved, and the system response time is reduced; the mutual influence and adjustment of the mobile communication equipment, the big data processing unit and the internal information disclosure unit can be used for more accurately obtaining the information and the state of the enterprise personnel, so that the management is accurate to the individual, and the working efficiency and the accuracy of the system are improved. Meanwhile, the personnel feedback information is stored in the block chain, so that the personnel feedback information can be effectively prevented from being maliciously tampered, the authenticity and the effectiveness of the personnel feedback information are ensured, and the management of enterprises is facilitated.
Under the condition that all enterprise department information is disclosed, the enterprise department management comprehensive index is calculated by combining the communication conditions among all the departments, and the enterprise department is comprehensively compared and preferentially managed, so that the operation and maintenance mode of the enterprise management system is comprehensively improved, and the stable operation of the information transmission process is ensured.
Drawings
FIG. 1 is a schematic diagram of the management system of the present invention.
Detailed Description
The invention is further illustrated by the following specific examples:
an artificial intelligence enterprise management method combining a blockchain and big data comprises the following steps:
the method comprises the following steps that firstly, an authentication unit authenticates identity information of enterprise personnel, generates identity authentication information and sends the identity authentication information to a big data processing unit;
step two, the mobile communication equipment interacts with enterprise personnel in real time, receives the public information from the internal information public unit, interacts with the enterprise personnel and sends personnel comprehensive reflection information to the big data processing unit;
step three, the big data processing unit receives and processes the big data from each unit;
the information compression unit receives the comprehensive personnel reflection information and the identity authentication information from the big data processing unit, and combines and compresses the comprehensive personnel reflection information and the identity authentication information of corresponding enterprise personnel to form personnel feedback information which is sent to the big data processing unit;
step five, the internal information disclosure unit receives the personnel feedback information from the big data processing unit and discloses the personnel feedback information to the mobile communication equipment;
and step six, the storage unit receives the personnel feedback information from the big data processing unit and stores all the personnel feedback information into the block chain.
The management system of the artificial intelligence enterprise management method combining the block chain and the big data comprises the following steps:
the authentication unit is used for authenticating identity information of enterprise personnel, generating identity authentication information and sending the identity authentication information to the big data processing unit;
the mobile communication equipment is used for receiving the public information from the internal information public unit, interacting with enterprise personnel and sending personnel comprehensive reflection information to the big data processing unit;
the big data processing unit is used for receiving and processing the data information from each unit;
the information compression unit is used for receiving the comprehensive personnel reflection information and the identity authentication information from the big data processing unit, combining and compressing the comprehensive personnel reflection information and the identity authentication information of the corresponding enterprise personnel to form personnel feedback information and sending the personnel feedback information to the big data processing unit;
the internal information disclosure unit is used for receiving the personnel feedback information from the big data processing unit and disclosing the personnel feedback information to the mobile communication equipment;
the storage unit is used for receiving the personnel feedback information from the big data processing unit and storing all the personnel feedback information into the block chain;
the mobile communication equipment corresponds to the enterprise personnel one by one, is used as a terminal for inputting the identity information of the enterprise personnel when the authentication unit authenticates the identity information of the enterprise personnel, and is connected with the big data processing unit through the internet.
Further, the second step specifically comprises:
the internal information disclosure unit sends a plurality of pieces of personnel comprehensive reflection information to the big data processing unit, the mobile communication equipment receives and displays the plurality of pieces of personnel comprehensive reflection information from the big data processing unit to enterprise personnel, the enterprise personnel interact with the mobile communication equipment according to the plurality of pieces of personnel comprehensive reflection information, and the mobile communication equipment sends the personnel comprehensive reflection information of the enterprise personnel interacting with the mobile communication equipment to the big data processing unit;
after receiving the personnel comprehensive reflection information from the mobile communication equipment, the big data processing unit detects the network access point parameter of the mobile communication equipment, if the transmission path parameter of the personnel comprehensive reflection information corresponding to the mobile communication equipment deviates from the normal value, the mobile communication equipment can not completely transmit the comprehensive personnel reflection information to the big data processing unit, at the moment, the big data processing unit obtains the deviation according to the network access point parameters, and the transmission path of the comprehensive personnel reflection information of the mobile communication equipment is adjusted until the transmission path parameter of the comprehensive personnel reflection information corresponding to the mobile communication equipment is normal, if the transmission path parameter of the comprehensive personnel reflection information corresponding to the mobile communication equipment is normal, the mobile communication equipment sends the network access point parameters corresponding to the personnel comprehensive reflection information mobile communication equipment to the big data processing unit.
The fourth step specifically comprises:
the information compression unit receives the comprehensive personnel reflection information and the identity authentication information from the big data processing unit, combines and compresses the comprehensive personnel reflection information and the identity authentication information of corresponding enterprise personnel to form personnel feedback information, selects a priority management enterprise department according to the comprehensive personnel reflection information and the identity authentication information, and finally integrates the selected priority management enterprise department information into the personnel feedback information and sends the information to the big data processing unit.
The method for selecting the priority management enterprise department specifically comprises the following steps that an information compression unit calculates an enterprise department management comprehensive index IN according to the personnel comprehensive reflection information and the identity authentication information:
p∈[1,Da,b],i∈[1,na],j∈[1,nb]
wherein D isa,bThe number of mobile communication devices between enterprise sector a and enterprise sector b, na the number of enterprise personnel in enterprise sector a, nb the number of enterprise personnel in enterprise sector b, Rp,a,bFor the number of channels in the pth mobile communication device between enterprise division a and enterprise division b, Cp,a,b,rCongestion degree of the r-th channel in the p-th mobile communication device between the enterprise division a and the enterprise division b, Ep,a,b,rFor the transmission error rate, M, of the r-th channel in the p-th mobile communication device between the enterprise division a and the enterprise division bp,a,b,rComprehensively reflecting the information number for the personnel to be transmitted in the r channel of the p mobile communication equipment between the enterprise department a and the enterprise department b;
and comparing all enterprise department management comprehensive indexes, wherein the enterprise department corresponding to the largest enterprise department management comprehensive index serves as a priority management enterprise department.
When the system manages an enterprise, the big data processing unit provides a corresponding management mode according to the personnel comprehensive reflection information from the mobile communication equipment, the enterprise manages enterprise personnel corresponding to the mobile communication equipment according to the management mode, and the data processing unit stores the personnel comprehensive reflection information and the corresponding management mode in the block chain together.
Claims (7)
1. An artificial intelligence enterprise management method combining a blockchain and big data is characterized by comprising the following steps:
the method comprises the following steps that firstly, an authentication unit authenticates identity information of enterprise personnel, generates identity authentication information and sends the identity authentication information to a big data processing unit;
step two, the mobile communication equipment interacts with enterprise personnel in real time, receives the public information from the internal information public unit, interacts with the enterprise personnel and sends personnel comprehensive reflection information to the big data processing unit; the method specifically comprises the following steps: the internal information disclosure unit sends a plurality of pieces of personnel comprehensive reflection information to the big data processing unit, the mobile communication equipment receives and displays the plurality of pieces of personnel comprehensive reflection information from the big data processing unit to enterprise personnel, the enterprise personnel interact with the mobile communication equipment according to the plurality of pieces of personnel comprehensive reflection information, and the mobile communication equipment sends the personnel comprehensive reflection information of the enterprise personnel interacting with the mobile communication equipment to the big data processing unit; after receiving the personnel comprehensive reflection information from the mobile communication equipment, the big data processing unit detects the network access point parameter of the mobile communication equipment, if the transmission path parameter of the personnel comprehensive reflection information corresponding to the mobile communication equipment deviates from the normal value, the mobile communication equipment can not completely transmit the comprehensive personnel reflection information to the big data processing unit, at the moment, the big data processing unit obtains the deviation according to the network access point parameters, and the transmission path of the comprehensive personnel reflection information of the mobile communication equipment is adjusted until the transmission path parameter of the comprehensive personnel reflection information corresponding to the mobile communication equipment is normal, if the transmission path parameter of the comprehensive personnel reflection information corresponding to the mobile communication equipment is normal, the mobile communication equipment sends the network access point parameters corresponding to the personnel comprehensive reflection information mobile communication equipment to the big data processing unit;
step three, the big data processing unit receives and processes the big data from each unit;
the information compression unit receives the comprehensive personnel reflection information and the identity authentication information from the big data processing unit, and combines and compresses the comprehensive personnel reflection information and the identity authentication information of corresponding enterprise personnel to form personnel feedback information which is sent to the big data processing unit;
step five, the internal information disclosure unit receives the personnel feedback information from the big data processing unit and discloses the personnel feedback information to the mobile communication equipment;
and step six, the storage unit receives the personnel feedback information from the big data processing unit and stores all the personnel feedback information into the block chain.
2. The artificial intelligence enterprise management method combining blockchains and big data of claim 1, wherein the fourth step specifically comprises:
the information compression unit receives the comprehensive personnel reflection information and the identity authentication information from the big data processing unit, combines and compresses the comprehensive personnel reflection information and the identity authentication information of corresponding enterprise personnel to form personnel feedback information, selects a priority management enterprise department according to the comprehensive personnel reflection information and the identity authentication information, and finally integrates the selected priority management enterprise department information into the personnel feedback information and sends the information to the big data processing unit.
3. The method of claim 2, wherein the selecting a preferred management enterprise division specifically comprises:
and the information compression unit calculates an enterprise department management comprehensive index IN according to the personnel comprehensive reflection information and the identity authentication information:
p∈[1,Da,b],i∈[1,na],j∈[1,nb]
wherein D isa,bThe number of mobile communication devices between enterprise division a to enterprise division b, na is enterpriseThe number of the enterprise personnel in the enterprise division a, nb is the number of the enterprise personnel in the enterprise division b, Rp,a,bFor the number of channels in the pth mobile communication device between enterprise division a and enterprise division b, Cp,a,b,rCongestion degree of the r-th channel in the p-th mobile communication device between the enterprise division a and the enterprise division b, Ep,a,b,rFor the transmission error rate, M, of the r-th channel in the p-th mobile communication device between the enterprise division a and the enterprise division bp,a,b,rComprehensively reflecting the information number for the personnel to be transmitted in the r channel of the p mobile communication equipment between the enterprise department a and the enterprise department b;
and comparing all enterprise department management comprehensive indexes, wherein the enterprise department corresponding to the largest enterprise department management comprehensive index serves as a priority management enterprise department.
4. The method of intelligent enterprise management of integrating blockchains and big data according to claim 2, further comprising the steps of:
the big data processing unit provides a corresponding management mode according to the personnel comprehensive reflection information from the mobile communication equipment, and the enterprise manages enterprise personnel corresponding to the mobile communication equipment according to the management mode.
5. The method of intelligent enterprise management of integrating blockchains and big data according to claim 4, further comprising the steps of:
the data processing unit stores the personnel comprehensive reflection information and the corresponding management mode in the block chain together.
6. An enterprise management system based on the artificial intelligence enterprise management method for combining the block chain and the big data according to any one of claims 1 to 5, characterized by comprising:
the authentication unit is used for authenticating identity information of enterprise personnel, generating identity authentication information and sending the identity authentication information to the big data processing unit;
the mobile communication equipment is used for receiving the public information from the internal information public unit, interacting with enterprise personnel and sending personnel comprehensive reflection information to the big data processing unit;
the big data processing unit is used for receiving and processing the data information from each unit;
the information compression unit is used for receiving the comprehensive personnel reflection information and the identity authentication information from the big data processing unit, combining and compressing the comprehensive personnel reflection information and the identity authentication information of the corresponding enterprise personnel to form personnel feedback information and sending the personnel feedback information to the big data processing unit;
the internal information disclosure unit is used for receiving the personnel feedback information from the big data processing unit and disclosing the personnel feedback information to the mobile communication equipment;
and the storage unit is used for receiving the personnel feedback information from the big data processing unit and storing all the personnel feedback information into the block chain.
7. The enterprise management system of claim 6, wherein: the mobile communication equipment corresponds to the enterprise personnel one by one, is used as a terminal for inputting the identity information of the enterprise personnel when the authentication unit authenticates the identity information of the enterprise personnel, and is connected with the big data processing unit through the internet.
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