CN112016935A - Enterprise customer information intelligent management system based on artificial intelligence - Google Patents
Enterprise customer information intelligent management system based on artificial intelligence Download PDFInfo
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- CN112016935A CN112016935A CN202010772155.2A CN202010772155A CN112016935A CN 112016935 A CN112016935 A CN 112016935A CN 202010772155 A CN202010772155 A CN 202010772155A CN 112016935 A CN112016935 A CN 112016935A
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The invention discloses an enterprise customer information intelligent management system based on artificial intelligence, which is used for solving the problems that the existing information management system cannot reasonably classify customer information and reasonably distribute the customer information into an enterprise computer and cloud storage equipment for encrypted storage, so that the utilization rate of an internal memory of the enterprise computer is low and the storage safety of important customer information is low; the client information is intelligently classified, important information of the client is encrypted and backed up and reasonably distributed to the cloud storage equipment for storage, and the rest information of the client is distributed to an internal computer of an enterprise for storage; and selecting the selected computers to store the information of the clients through the storage kiss value, so that the utilization rate of the internal memory of the enterprise computer is improved, selecting the cloud storage devices with the number equal to the backup number, and reasonably backing up and storing the information of the clients.
Description
Technical Field
The invention relates to the field of intelligent management of customer information, in particular to an enterprise customer information intelligent management system based on artificial intelligence.
Background
The customer information management system is a business strategy for selecting and managing valuable customers and their relationships, and requires a customer-centric business philosophy and business culture to support an effective marketing, sales and service process. If the enterprise has correct leader strategy and enterprise culture, the client information management system can realize effective client relationship management software for the enterprise;
patent CN110069476A discloses a customer information management system, which can store customer information in a classified manner, so as to facilitate the query of the querier, recommend the target customer according to the requirement of the querier, and store the customer information in a confidential manner, so that the customer information is not easy to flow out, and the private information of the customer is protected; but has the following disadvantages: the client information cannot be reasonably classified and can be reasonably distributed to enterprise computers and cloud storage equipment for encrypted storage, so that the problems of low utilization rate of internal memories of the enterprise computers and low storage safety of important information of the clients are caused.
Disclosure of Invention
The invention aims to provide an enterprise customer information intelligent management system based on artificial intelligence in order to solve the problems that the existing enterprise customer information intelligent management system cannot reasonably classify customer information and reasonably distribute the customer information into an enterprise computer and cloud storage equipment for encryption storage, so that the utilization rate of an enterprise computer memory is low and the storage safety of important customer information is low; according to the invention, the client information is intelligently classified, so that important information of the client can be conveniently encrypted, backed up and reasonably distributed to the cloud storage equipment for storage, and the rest information of the client is distributed to the internal computer of the enterprise for storage; the selected computer is selected through the storage kiss value to store the information of the client, the utilization rate of the internal memory of the enterprise computer is improved, the information of the client is converted and rounded according to a certain proportion to obtain the backup number, and the cloud storage devices with the number equal to the backup number are selected, so that the information of the client is backed up and stored more reasonably.
The purpose of the invention can be realized by the following technical scheme: the enterprise customer information intelligent management system based on artificial intelligence comprises an information input module, an information classification module, an information encryption module, a processor, an intelligent distribution module and a cloud storage module;
the information input module is used for enterprise personnel to input client information and each affiliated class number of an enterprise and send the client information and each affiliated class number to the information encryption module; the information encryption module is used for classifying and encrypting the client information, and comprises the following specific steps:
the method comprises the following steps: acquiring enterprise personnel corresponding to the client, acquiring employee values corresponding to the enterprise personnel and marking the employee values as TG;
step two: dividing the customer information into a plurality of items to obtain sub-item information of the customer information, and marking the sub-item information as Pij; i represents customer information, j represents the number of sub-item information; j is a positive integer;
step three: setting all class numbers to correspond to a preset value and marking the class numbers as Hk, wherein k is 1, … … and n; matching the affiliated class number corresponding to the sub-item information with all class numbers to obtain a corresponding preset value Hk;
step four: the information encryption module sends the name of the client to a mobile phone terminal of a corresponding responsible enterprise person, and the enterprise person sends an encryption grade value to the information encryption module through the mobile phone terminal; the information encryption module receives the encryption grade value and marks the value as Ei;
step five: dequantizing the employee value, the preset value and the encryption grade value, taking the numerical value, and utilizing a formula MPijObtaining an item information value M for obtaining sub item information by TG × b1+ Hk × b2+ Ei × b3Pij(ii) a Wherein b1, b2 and b3 are all preset proportionality coefficients;
step six: encrypting the sub-item information and sending the encrypted sub-item information and the information value to a processor, sending the sub-item information of which the information value is less than or equal to a set threshold value to an intelligent distribution module by the processor, and sending the sub-item information of which the information value is greater than the set threshold value to a cloud storage module;
the intelligent distribution module is used for intelligently distributing the sub-item information with the item information value less than or equal to the set threshold, and the specific steps are as follows:
s1: marking sub-item information with the item information value less than or equal to a set threshold value as information to be distributed;
s2: acquiring computer information of computers in enterprises, marking the computers in the enterprises as primary computers, and expressing the primary computers by using a symbol Wq, wherein q is 1, … … and n;
s3: calculating the time difference between the installation time of the primary selection computer and the current system time to obtain the installation time of the primary selection computer, and marking the installation time as TWq；
S4: acquiring models of the initially selected computers, and setting all the models of the computers to correspond to a pre-score value; matching the model of the primarily selected computer with all computer models to obtain corresponding pre-division values, and marking the pre-division values as FWq；
S5: obtaining the residual memory of the primary selection computer and marking the residual memory as SWq(ii) a Acquiring the employee value of the enterprise personnel corresponding to the primary selection computer and marking the employee value as TGWq；
S6: carrying out dequantization processing on the installation duration, the pre-score, the residual memory and the employee value of the enterprise personnel and taking the numerical value;
s7: using formulas
Obtaining a kiss value CU of the primary selection computerWq(ii) a Wherein d1, d2, d3 and d4 are all preset proportionality coefficients; lambda is a correction factor, and the value of lambda is 0.865;
s8: selecting the primary computer with the largest access kiss value as a selected computer, sending the information to be distributed into the selected computer by the intelligent distribution module for storage, and establishing an inquiry chain number by the intelligent distribution module for the information to be distributed and the selected computer;
the cloud storage module is used for carrying out cloud storage on the sub-item information larger than a set threshold value.
Preferably, the cloud storage module performs cloud storage on the sub-item information greater than the set threshold by the specific steps of:
u1: marking the sub-item information larger than a set threshold value as cloud distribution information; acquiring equipment information of the cloud storage equipment;
u2: calculating the time difference between the position of the enterprise and the position of the cloud storage device to obtain a distance value, and marking the distance value as G1;
u3: setting all models of the cloud storage equipment to correspond to a preset cloud storage value; matching the storage equipment with all models to obtain corresponding preset cloud storage values, and marking as G2;
u4: setting the residual memory of the cloud storage device as G3;
u5: dequantizing the distance value, the preset cloud storage value and the residual memory, and taking the values, and obtaining a cloud standby value G of the cloud storage device by using a formula G ═ (1/G1) × G1+ G2 × G2+ G3 × G3; wherein g1, g2 and g3 are all preset proportionality coefficients;
u6: sorting the cloud storage devices from large to small through cloud standby values;
u7: converting the item information values of the cloud allocation information according to a certain proportion and rounding to obtain the backup number; wherein the item information value is proportional to the number of backups;
u8: selecting the cloud storage devices from front to back, selecting the cloud storage devices with the number equal to the backup number, and marking the cloud storage devices as the selected storage devices;
u9: and backing up the cloud allocation information, sequentially sending the cloud allocation information to the selected storage equipment for storage, and establishing a cloud query chain number by the selected storage equipment and the cloud allocation information.
Preferably, the system also comprises a registration login module, a personnel calculation module and a data storage module; the registration login module is used for submitting personnel information for registration by enterprise personnel and sending the personnel information which is successfully registered into the data storage module for storage through the processor; the personnel information comprises names, mobile phone numbers, ages, time of entry and marital conditions; marital status includes unmarried, married and corresponding years of marrying;
preferably, the staff calculating module is used for acquiring staff information in the data storage module through the processor and analyzing the staff information to obtain staff values of enterprise staff; the specific calculation steps are as follows:
SS 1: calculating the time difference between the time of entry of the enterprise personnel and the current time of the system to obtain the time of entry of the enterprise personnel and marking the time as R1;
SS 2: setting a preset marital status flag Hr, wherein r is 0, 1, … … and 30; wherein H0 represents unmarried, H1 represents married one year, H30 represents married thirty years; hr is provided with a corresponding value, wherein the corresponding value of H0 is 1; the corresponding values of H1-H30 are sequentially increased in an arithmetic progression; and the corresponding value of H1 is greater than the corresponding value of HO;
SS 3: acquiring the marital status of the enterprise personnel, matching the marital status with the preset marital status to obtain a corresponding value, and marking the value as R2;
SS 4: setting the age of enterprise personnel as R3; carrying out dequantization processing on the age, the corresponding value and the working duration of the enterprise personnel and taking the numerical value of the age, the corresponding value and the working duration;
SS 5: using formulas
Acquiring a staff value TG of an enterprise staff; wherein d5, d6, d7 and d8 are all preset proportionality coefficients, wherein R4 is the position increment value of enterprise personnel;
SS 6: and the personnel calculation module sends the calculated employee values of the enterprise personnel to the data storage module for storage.
Preferably, the system further comprises a personnel acquisition unit and a personnel analysis unit; the personnel acquisition unit is used for acquiring the job names and the corresponding appointments of the enterprise personnel and sending the job names and the corresponding appointments to the personnel analysis unit; the personnel analysis unit is used for analyzing the job names of the enterprise personnel and the corresponding appointments to obtain the position rising values of the enterprise personnel, and the specific analysis steps are as follows:
v1: sorting the positions of the enterprise personnel according to the time sequence of appointed time and marking the positions as Za in sequence; a is 1, … …, n;
v2: calculating the time difference between adjacent positions to obtain the time length of the corresponding position of the enterprise personnel and marking the time length as TZa(ii) a The unit is day, wherein the appointed time of the last position is time-differentiated from the current time of the systemCalculating;
v3: substituting the time of duties into a formula
Obtaining the corresponding job value E of the job durationZa；
V4: setting an integral value corresponding to all positions of an enterprise; matching the positions of the enterprise personnel with all the positions to obtain corresponding integral values, and marking the integral values as JZa；
V5: using formulas
Acquiring a position increment value R4 of enterprise personnel; wherein d10, d11 and d12 are all preset proportionality coefficients;
v6: and the personnel analysis unit sends the bit increment value of the enterprise personnel to the data storage module for storage.
Preferably, the system further comprises a data acquisition module, wherein the data acquisition module is used for acquiring the equipment information of the cloud storage equipment and the computer information of the enterprise computer and sending the equipment information and the computer information into the data storage module through the processor for storage, and the equipment information comprises the position, the model and the residual memory of the cloud storage equipment; the computer information includes installation time, model, remaining memory and enterprise personnel to which the computer belongs.
Compared with the prior art, the invention has the beneficial effects that:
1. the information input module is used for enterprise personnel to input client information and each affiliated class number of an enterprise and send the client information and each affiliated class number to the information encryption module; the information encryption module is used for classifying and encrypting customer information, the information encryption module sends the name of the customer to a mobile phone terminal of a corresponding responsible enterprise person, the enterprise person sends an encryption grade value to the information encryption module through the mobile phone terminal, dequantization is carried out on the employee value, a preset value and the encryption grade value, the value is obtained, an item value of sub-item information is obtained by using a formula, the sub-item information is encrypted, the item value and the item value are sent to the processor, the processor sends the sub-item information of which the item value is less than or equal to a set threshold value to the intelligent distribution module, and the sub-item information of which the item value is greater than or equal to the set threshold value is sent to the cloud storage module; by intelligently classifying the client information, the important information of the client can be conveniently encrypted, backed up and reasonably distributed to the cloud storage equipment for storage, and the rest information of the client is distributed to the internal computer of the enterprise for storage;
2. the intelligent distribution module is used for intelligently distributing the sub-item information of which the item information value is less than or equal to a set threshold value, carrying out dequantization processing on installation duration, a pre-score value, a residual memory and employee values of enterprise personnel and taking the numerical values of the dequantization processing; obtaining a kiss value of the primary selection computer by using a formula; selecting the primary computer with the largest access kiss value as a selected computer, sending the information to be distributed into the selected computer by the intelligent distribution module for storage, and establishing an inquiry chain number by the intelligent distribution module for the information to be distributed and the selected computer; the intelligent distribution module analyzes the installation time length, the pre-score, the residual memory and the employee value of the enterprise personnel to obtain a kiss value of the primary selection computer, and selects the selected computer to store the information of the client through the kiss value, so that the utilization rate of the memory of the enterprise computer is improved;
3. the cloud storage module is used for carrying out cloud storage on the sub-item information which is larger than a set threshold; carrying out dequantization processing on the interval value, the preset cloud storage value and the residual memory, taking the numerical values, obtaining the cloud standby value of the cloud storage equipment by using a formula, and sequencing the cloud storage equipment from large to small through the cloud standby value; converting the item information values of the cloud allocation information according to a certain proportion and rounding to obtain the backup number; selecting cloud storage devices with the number equal to the backup number and marking the cloud storage devices as selected storage devices; backing up the cloud allocation information and sequentially sending the cloud allocation information to the selected storage equipment for storage; the cloud storage module analyzes the cloud storage device through the interval value, the preset cloud storage value and the residual memory to obtain the cloud standby value of the cloud storage device, then sequences the cloud storage device through the cloud standby value, converts and rounds the information of the clients according to a certain proportion to obtain the backup number, and selects the cloud storage devices with the number equal to the backup number, so that the client information is more reasonably backed up and stored, and the safety of client information storage is improved.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the enterprise customer information intelligent management system based on artificial intelligence comprises an information input module, an information classification module, an information encryption module, a processor, an intelligent distribution module, a cloud storage module, a registration and login module, a personnel calculation module, a data storage module, a personnel acquisition unit, a personnel analysis unit, a data acquisition module and an inquiry access module;
the data acquisition module is used for acquiring equipment information of the cloud storage equipment and computer information of an enterprise computer and sending the equipment information and the computer information into the data storage module through the processor for storage, wherein the equipment information comprises the position, the model and the residual memory of the cloud storage equipment; the computer information comprises installation time, model, residual memory and enterprise personnel to which the computer belongs; the registration login module is used for submitting personnel information for registration by enterprise personnel and sending the personnel information which is successfully registered into the data storage module for storage through the processor; the personnel information comprises names, mobile phone numbers, ages, time of entry and marital conditions; marital status includes unmarried, married and corresponding years of marrying; the customer information comprises the name of the customer, the data provided by the customer and the like;
the information input module is used for enterprise personnel to input the client information and each affiliated class number of the enterprise and send the client information and each affiliated class number to the information encryption module; the information encryption module is used for classifying and encrypting the client information, and comprises the following specific steps:
the method comprises the following steps: acquiring enterprise personnel corresponding to the client, acquiring employee values corresponding to the enterprise personnel and marking the employee values as TG;
step two: dividing the customer information into a plurality of items to obtain sub-item information of the customer information, and marking the sub-item information as Pij; i represents customer information, j represents the number of sub-item information; j is a positive integer;
step three: setting all class numbers to correspond to a preset value and marking the class numbers as Hk, wherein k is 1, … … and n; matching the affiliated class number corresponding to the sub-item information with all class numbers to obtain a corresponding preset value Hk;
step four: the information encryption module sends the name of the client to a mobile phone terminal of a corresponding responsible enterprise person, and the enterprise person sends an encryption grade value to the information encryption module through the mobile phone terminal; the information encryption module receives the encryption grade value and marks the value as Ei;
step five: dequantizing the employee value, the preset value and the encryption grade value, taking the numerical value, and utilizing a formula MPijObtaining an item information value M for obtaining sub item information by TG × b1+ Hk × b2+ Ei × b3Pij(ii) a Wherein b1, b2 and b3 are all preset proportionality coefficients;
step six: encrypting the sub-item information and sending the encrypted sub-item information and the information value to a processor, sending the sub-item information of which the information value is less than or equal to a set threshold value to an intelligent distribution module by the processor, and sending the sub-item information of which the information value is greater than the set threshold value to a cloud storage module;
the intelligent distribution module is used for intelligently distributing the sub-item information with the item information value less than or equal to the set threshold, and the specific steps are as follows:
s1: marking sub-item information with the item information value less than or equal to a set threshold value as information to be distributed;
s2: acquiring computer information of computers in enterprises, marking the computers in the enterprises as primary computers, and expressing the primary computers by using a symbol Wq, wherein q is 1, … … and n;
s3: the installation time of the primary selection computer and the current time of the systemCalculating the time difference between the first and second time periods to obtain the installation time length of the first selected computer and marking the installation time length as TWq；
S4: acquiring models of the initially selected computers, and setting all the models of the computers to correspond to a pre-score value; matching the model of the primarily selected computer with all computer models to obtain corresponding pre-division values, and marking the pre-division values as FWq；
S5: obtaining the residual memory of the primary selection computer and marking the residual memory as SWq(ii) a Acquiring the employee value of the enterprise personnel corresponding to the primary selection computer and marking the employee value as TGWq；
S6: carrying out dequantization processing on the installation duration, the pre-score, the residual memory and the employee value of the enterprise personnel and taking the numerical value;
s7: using formulas
Obtaining a kiss value CU of the primary selection computerWq(ii) a Wherein d1, d2, d3 and d4 are all preset proportionality coefficients; lambda is a correction factor, and the value of lambda is 0.865; the method has the advantages that the smaller the installation time of the primary selection computer is, the larger the storage kiss value is, and the higher the probability that the primary selection computer stores the information to be distributed is; the larger the pre-score value, the residual memory and the employee value of the enterprise personnel are, the larger the kiss value is;
s8: selecting the primary computer with the largest access kiss value as a selected computer, sending the information to be distributed into the selected computer by the intelligent distribution module for storage, and establishing an inquiry chain number by the intelligent distribution module for the information to be distributed and the selected computer;
the cloud storage module is used for carrying out cloud storage on the sub-item information which is greater than the set threshold value; the method comprises the following specific steps:
u1: marking the sub-item information larger than a set threshold value as cloud distribution information; acquiring equipment information of the cloud storage equipment; wherein the cloud storage device is a cloud server;
u2: calculating the time difference between the position of the enterprise and the position of the cloud storage device to obtain a distance value, and marking the distance value as G1;
u3: setting all models of the cloud storage equipment to correspond to a preset cloud storage value; matching the storage equipment with all models to obtain corresponding preset cloud storage values, and marking as G2;
u4: setting the residual memory of the cloud storage device as G3;
u5: dequantizing the distance value, the preset cloud storage value and the residual memory, and taking the values, and obtaining a cloud standby value G of the cloud storage device by using a formula G ═ (1/G1) × G1+ G2 × G2+ G3 × G3; wherein g1, g2 and g3 are all preset proportionality coefficients; the cloud storage equipment comprises a cloud storage device, a preset cloud storage value and a residual memory, wherein the cloud storage device is used for storing cloud distribution information;
u6: sorting the cloud storage devices from large to small through cloud standby values;
u7: converting the item information values of the cloud allocation information according to a certain proportion and rounding to obtain the backup number; wherein the item information value is proportional to the number of backups;
u8: selecting the cloud storage devices from front to back, selecting the cloud storage devices with the number equal to the backup number, and marking the cloud storage devices as the selected storage devices;
u9: backing up the cloud allocation information and sequentially sending the cloud allocation information to the selected storage equipment for storage, and establishing a cloud query chain number by the selected storage equipment and the cloud allocation information;
the personnel calculation module is used for acquiring personnel information in the data storage module through the processor and analyzing the personnel information to obtain the personnel value of the enterprise personnel; the specific calculation steps are as follows:
SS 1: calculating the time difference between the time of entry of the enterprise personnel and the current time of the system to obtain the time of entry of the enterprise personnel and marking the time as R1; the unit is day;
SS 2: setting a preset marital status flag Hr, wherein r is 0, 1, … … and 30; wherein H0 represents unmarried, H1 represents married one year, H30 represents married thirty years; hr is provided with a corresponding value, wherein the corresponding value of H0 is 1; the corresponding values of H1-H30 are sequentially increased in an arithmetic progression; and the corresponding value of H1 is greater than the corresponding value of HO;
SS 3: acquiring the marital status of the enterprise personnel, matching the marital status with the preset marital status to obtain a corresponding value, and marking the value as R2;
SS 4: setting the age of enterprise personnel as R3; carrying out dequantization processing on the age, the corresponding value and the working duration of the enterprise personnel and taking the numerical value of the age, the corresponding value and the working duration;
SS 5: using formulas
Acquiring a staff value TG of an enterprise staff; wherein d5, d6, d7 and d8 are all preset proportionality coefficients, wherein R4 is the position increment value of enterprise personnel; the employee value is larger as the job time is closer to 600 days, and the larger the age, the corresponding value and the position increment value of the enterprise personnel are, the larger the employee value is;
SS 6: the personnel calculation module sends the calculated employee values of the enterprise personnel to the data storage module for storage;
the personnel acquisition unit is used for acquiring the job names and the corresponding appointments of the enterprise personnel and sending the job names and the corresponding appointments to the personnel analysis unit; the personnel analysis unit is used for analyzing the job names of the enterprise personnel and the corresponding appointments to obtain the position rising values of the enterprise personnel, and the specific analysis steps are as follows:
v1: sorting the positions of the enterprise personnel according to the time sequence of appointed time and marking the positions as Za in sequence; a is 1, … …, n;
v2: calculating the time difference between adjacent positions to obtain the time length of the corresponding position of the enterprise personnel and marking the time length as TZa(ii) a The unit is day, wherein, the appointed time of the last position and the current time of the system are calculated by time difference;
v3: substituting the time of duties into a formula
Obtaining the corresponding job value E of the job durationZa；
V4: setting an integral value corresponding to all positions of an enterprise; matching the positions of the enterprise personnel with all the positions to obtain corresponding integral values, and marking the integral values as JZa；
V5: using formulas
Acquiring a position increment value R4 of enterprise personnel; wherein d10, d11 and d12 are all preset proportionality coefficients;
v6: the personnel analysis unit sends the bit increment value of the enterprise personnel to the data storage module for storage;
the inquiry access module is used for enterprise personnel to inquire and access the client information through an enterprise computer, and the specific inquiry steps are as follows:
VV 1: enterprise personnel input a query instruction and a client name to a query access module through an enterprise computer, the query access module obtains a cloud query chain number and a query chain number corresponding to the client name after receiving the query instruction and the client name, and the query access module sends the cloud query chain number and the query chain number to the enterprise computer of the enterprise personnel;
VV 2: when enterprise personnel click the inquiry chain number through a computer terminal, then a corresponding instruction is generated and sent to the inquiry access module, the inquiry access module extracts the client information corresponding to the inquiry chain number from a corresponding selected computer, then the client information is decrypted, and the decrypted information is sent to the computer terminal of the enterprise personnel;
VV 2: when enterprise personnel click the cloud inquiry chain number through the computer terminal, then a corresponding instruction is generated and sent to the inquiry access module, the inquiry access module generates an inquiry instruction and sends the inquiry instruction to the computer terminal of the responsible enterprise personnel corresponding to the client information; when the responsible enterprise personnel corresponding to the client information sends an agreement instruction to the query access module through the computer terminal, the query access module acquires the employee value of the enterprise personnel sending the query instruction;
VV 3: when the employee value is larger than a set threshold value, acquiring customer information corresponding to the cloud inquiry chain number from the corresponding cloud storage equipment, then decrypting, and performing communication connection between the inquiry access module and enterprise computers of enterprise personnel sending inquiry instructions; and when the employee value is less than or equal to the set threshold value, generating an inaccessible instruction and sending the inaccessible instruction to the enterprise computer of the enterprise employee sending the query instruction.
The formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions;
when the system is used, the information input module is used for enterprise personnel to input client information and each item of class number of an enterprise and send the client information and each item of class number to the information encryption module; the information encryption module is used for classifying and encrypting the client information, the name of the client is sent to the mobile phone terminal of the corresponding responsible enterprise personnel by the information encryption module, the enterprise personnel send the encrypted grade value to the information encryption module through the mobile phone terminal, the employee value, the preset value and the encrypted grade value are dequantized and the numerical value is taken, and the formula M is utilizedPijAcquiring an item information value of the sub item information by TG × b1+ Hk × b2+ Ei × b3, encrypting the sub item information and sending the encrypted sub item information and the item information value to a processor, sending the sub item information of which the item information value is less than or equal to a set threshold value to an intelligent distribution module by the processor, and sending the sub item information of which the item information value is greater than the set threshold value to a cloud storage module; by classifying the client information, important information of the client is conveniently encrypted and backed up and reasonably distributed to the cloud storage equipment for storage, and the rest information of the client is distributed to an internal computer of an enterprise for storage;
the intelligent distribution module is used for carrying out intelligent distribution processing on the sub-item information of which the item information value is less than or equal to a set threshold value, carrying out dequantization processing on the installation duration, the pre-score, the residual memory and the employee value of the enterprise personnel and taking the numerical value of the dequantization processing; using formulas
Obtaining a kiss value CU of the primary selection computerWq(ii) a Selecting the primary computer with the largest access kiss value as a selected computer, sending the information to be distributed into the selected computer by the intelligent distribution module for storage, and establishing an inquiry chain number by the intelligent distribution module for the information to be distributed and the selected computer; the intelligent distribution module analyzes the installation time length, the pre-score, the residual memory and the employee value of the enterprise personnel to obtain the kiss value of the primary selection computer, and the kiss value is obtainedSelecting a selected computer to store the information of the client, and improving the utilization rate of the internal memory of the enterprise computer;
the cloud storage module is used for carrying out cloud storage on the sub-item information which is greater than the set threshold value; calculating the time difference between the position of the enterprise and the position of the cloud storage equipment to obtain an interval value, and setting all models of the cloud storage equipment to correspond to a preset cloud storage value; matching the storage equipment with all models to obtain corresponding preset cloud storage values, carrying out dequantization processing on the distance values, the preset cloud storage values and the residual memories and obtaining numerical values of the distance values, the preset cloud storage values and the residual memories, and sequencing the cloud storage equipment from large to small through the cloud storage values by obtaining the cloud standby values G of the cloud storage equipment by using a formula G ═ (1/G1) × G1+ G2 × G2+ G3 × G3; converting the item information values of the cloud allocation information according to a certain proportion and rounding to obtain the backup number; wherein the item information value is proportional to the number of backups; selecting the cloud storage devices from front to back, selecting the cloud storage devices with the number equal to the backup number, and marking the cloud storage devices as the selected storage devices; backing up the cloud allocation information and sequentially sending the cloud allocation information to the selected storage equipment for storage; the cloud storage module analyzes the cloud storage device through the interval value, the preset cloud storage value and the residual memory to obtain the cloud standby value of the cloud storage device, then sequences the cloud storage device through the cloud standby value, converts and rounds the information of the clients according to a certain proportion to obtain the backup number, and selects the cloud storage devices with the number equal to the backup number, so that the client information is more reasonably backed up and stored.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (5)
1. The enterprise customer information intelligent management system based on artificial intelligence is characterized by comprising an information input module, an information classification module, an information encryption module, a processor, an intelligent distribution module and a cloud storage module;
the information input module is used for enterprise personnel to input client information and each affiliated class number of an enterprise and send the client information and each affiliated class number to the information encryption module; the information encryption module is used for classifying and encrypting the client information, and comprises the following specific steps:
the method comprises the following steps: acquiring enterprise personnel corresponding to the client, acquiring employee values corresponding to the enterprise personnel and marking the employee values as TG;
step two: dividing the customer information into a plurality of items to obtain sub-item information of the customer information, and marking the sub-item information as Pij; i represents customer information, j represents the number of sub-item information; j is a positive integer;
step three: setting all class numbers to correspond to a preset value and marking the class numbers as Hk, wherein k is 1, … … and n; matching the affiliated class number corresponding to the sub-item information with all class numbers to obtain a corresponding preset value Hk;
step four: the information encryption module sends the name of the client to a mobile phone terminal of a corresponding responsible enterprise person, and the enterprise person sends an encryption grade value to the information encryption module through the mobile phone terminal; the information encryption module receives the encryption grade value and marks the value as Ei;
step five: dequantizing the employee value, the preset value and the encryption grade value, taking the numerical value, and utilizing a formula MPijObtaining an item information value M for obtaining sub item information by TG × b1+ Hk × b2+ Ei × b3Pij(ii) a Wherein b1, b2 and b3 are all preset proportionality coefficients;
step six: encrypting the sub-item information and sending the encrypted sub-item information and the information value to a processor, sending the sub-item information of which the information value is less than or equal to a set threshold value to an intelligent distribution module by the processor, and sending the sub-item information of which the information value is greater than the set threshold value to a cloud storage module;
the intelligent distribution module is used for intelligently distributing the sub-item information with the item information value less than or equal to the set threshold, and the specific steps are as follows:
s1: marking sub-item information with the item information value less than or equal to a set threshold value as information to be distributed;
s2: acquiring computer information of computers in enterprises, marking the computers in the enterprises as primary computers, and expressing the primary computers by using a symbol Wq, wherein q is 1, … … and n;
s3: calculating the time difference between the installation time of the primary selection computer and the current system time to obtain the installation time of the primary selection computer, and marking the installation time as TWq；
S4: acquiring models of the initially selected computers, and setting all the models of the computers to correspond to a pre-score value; matching the model of the primarily selected computer with all computer models to obtain corresponding pre-division values, and marking the pre-division values as FWq；
S5: obtaining the residual memory of the primary selection computer and marking the residual memory as SWq(ii) a Acquiring the employee value of the enterprise personnel corresponding to the primary selection computer and marking the employee value as TGWq；
S6: carrying out dequantization processing on the installation duration, the pre-score, the residual memory and the employee value of the enterprise personnel and taking the numerical value;
s7: using formulas
Obtaining a kiss value CU of the primary selection computerWq(ii) a Wherein d1, d2, d3 and d4 are all preset proportionality coefficients; lambda is a correction factor, and the value of lambda is 0.865;
s8: selecting the primary computer with the largest access kiss value as a selected computer, sending the information to be distributed into the selected computer by the intelligent distribution module for storage, and establishing an inquiry chain number by the intelligent distribution module for the information to be distributed and the selected computer;
the cloud storage module is used for carrying out cloud storage on the sub-item information larger than a set threshold value.
2. The system for intelligently managing the customer information of the enterprise based on the artificial intelligence as claimed in claim 1, wherein the specific steps of the cloud storage module carrying out the cloud storage on the sub-item information which is greater than the set threshold value are as follows:
u1: marking the sub-item information larger than a set threshold value as cloud distribution information; acquiring equipment information of the cloud storage equipment;
u2: calculating the time difference between the position of the enterprise and the position of the cloud storage device to obtain a distance value, and marking the distance value as G1;
u3: setting all models of the cloud storage equipment to correspond to a preset cloud storage value; matching the storage equipment with all models to obtain corresponding preset cloud storage values, and marking as G2;
u4: setting the residual memory of the cloud storage device as G3;
u5: dequantizing the distance value, the preset cloud storage value and the residual memory, and taking the values, and obtaining a cloud standby value G of the cloud storage device by using a formula G ═ (1/G1) × G1+ G2 × G2+ G3 × G3; wherein g1, g2 and g3 are all preset proportionality coefficients;
u6: sorting the cloud storage devices from large to small through cloud standby values;
u7: converting the item information values of the cloud allocation information according to a certain proportion and rounding to obtain the backup number; wherein the item information value is proportional to the number of backups;
u8: selecting the cloud storage devices from front to back, selecting the cloud storage devices with the number equal to the backup number, and marking the cloud storage devices as the selected storage devices;
u9: and backing up the cloud allocation information, sequentially sending the cloud allocation information to the selected storage equipment for storage, and establishing a cloud query chain number by the selected storage equipment and the cloud allocation information.
3. The intelligent management system for enterprise customer information based on artificial intelligence as claimed in claim 1, wherein the system further comprises a registration login module, a personnel calculation module and a data storage module; the registration login module is used for submitting personnel information for registration by enterprise personnel and sending the personnel information which is successfully registered into the data storage module for storage through the processor; the personnel information comprises names, mobile phone numbers, ages, time of entry and marital conditions; marital status includes unmarried, married and corresponding years of marrying;
the personnel calculation module is used for acquiring personnel information in the data storage module through the processor and analyzing the personnel information to obtain the personnel value of the enterprise personnel; the specific calculation steps are as follows:
SS 1: calculating the time difference between the time of entry of the enterprise personnel and the current time of the system to obtain the time of entry of the enterprise personnel and marking the time as R1;
SS 2: setting a preset marital status flag Hr, wherein r is 0, 1, … … and 30; wherein H0 represents unmarried, H1 represents married one year, H30 represents married thirty years; hr is provided with a corresponding value, wherein the corresponding value of H0 is 1; the corresponding values of H1-H30 are sequentially increased in an arithmetic progression; and the corresponding value of H1 is greater than the corresponding value of HO;
SS 3: acquiring the marital status of the enterprise personnel, matching the marital status with the preset marital status to obtain a corresponding value, and marking the value as R2;
SS 4: setting the age of enterprise personnel as R3; carrying out dequantization processing on the age, the corresponding value and the working duration of the enterprise personnel and taking the numerical value of the age, the corresponding value and the working duration;
SS 5: using formulas
Acquiring a staff value TG of an enterprise staff; wherein d5, d6, d7 and d8 are all preset proportionality coefficients, wherein R4 is the position increment value of enterprise personnel;
SS 6: and the personnel calculation module sends the calculated employee values of the enterprise personnel to the data storage module for storage.
4. The intelligent management system for enterprise customer information based on artificial intelligence as claimed in claim 1, wherein the system further comprises a personnel collecting unit and a personnel analyzing unit; the personnel acquisition unit is used for acquiring the job names and the corresponding appointments of the enterprise personnel and sending the job names and the corresponding appointments to the personnel analysis unit; the personnel analysis unit is used for analyzing the job names of the enterprise personnel and the corresponding appointments to obtain the position rising values of the enterprise personnel, and the specific analysis steps are as follows:
v1: sorting the positions of the enterprise personnel according to the time sequence of appointed time and marking the positions as Za in sequence; a is 1, … …, n;
v2: calculating the time difference between adjacent positions to obtain the time length of the corresponding position of the enterprise personnel and marking the time length as TZa(ii) a The unit is day, wherein, the appointed time of the last position and the current time of the system are calculated by time difference;
v3: substituting the time of duties into a formula
Obtaining the corresponding job value E of the job durationZa；
V4: setting an integral value corresponding to all positions of an enterprise; matching the positions of the enterprise personnel with all the positions to obtain corresponding integral values, and marking the integral values as JZa；
V5: using formulas
Acquiring a position increment value R4 of enterprise personnel; wherein d10, d11 and d12 are all preset proportionality coefficients;
v6: and the personnel analysis unit sends the bit increment value of the enterprise personnel to the data storage module for storage.
5. The enterprise customer information intelligent management system based on artificial intelligence as claimed in claim 1, wherein the system further comprises a data acquisition module, the data acquisition module is used for acquiring equipment information of the cloud storage equipment and computer information of the enterprise computer and sending the equipment information and the computer information into the data storage module through the processor for storage, and the equipment information comprises the position, the model and the residual memory of the cloud storage equipment; the computer information includes installation time, model, remaining memory and enterprise personnel to which the computer belongs.
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| CN202010772155.2A CN112016935A (en) | 2020-08-04 | 2020-08-04 | Enterprise customer information intelligent management system based on artificial intelligence |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112751855A (en) * | 2020-12-30 | 2021-05-04 | 合肥大多数信息科技有限公司 | Cross-browser user data security management system based on encryption technology |
| CN113034022A (en) * | 2021-04-06 | 2021-06-25 | 江苏中钧动力科技有限公司 | Remote monitoring system of BMS battery management system |
| CN113402014A (en) * | 2021-05-26 | 2021-09-17 | 安徽泓济环境科技有限公司 | Positive pressure sewage and waste gas treatment integrated machine |
-
2020
- 2020-08-04 CN CN202010772155.2A patent/CN112016935A/en not_active Withdrawn
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112751855A (en) * | 2020-12-30 | 2021-05-04 | 合肥大多数信息科技有限公司 | Cross-browser user data security management system based on encryption technology |
| CN112751855B (en) * | 2020-12-30 | 2022-09-06 | 合肥大多数信息科技有限公司 | Cross-browser user data security management system based on encryption technology |
| CN113034022A (en) * | 2021-04-06 | 2021-06-25 | 江苏中钧动力科技有限公司 | Remote monitoring system of BMS battery management system |
| CN113034022B (en) * | 2021-04-06 | 2022-03-18 | 江苏中钧动力科技有限公司 | Remote monitoring system of BMS battery management system |
| CN113402014A (en) * | 2021-05-26 | 2021-09-17 | 安徽泓济环境科技有限公司 | Positive pressure sewage and waste gas treatment integrated machine |
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