CN112241900B - Information collection analysis system based on big data - Google Patents
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Abstract
The invention discloses an information collection and analysis system based on big data, which is used for solving the problems that the conventional commodity shopping platform information collection and analysis system does not screen evaluation information of users, so that the authenticity of commodity evaluation is crossed, and the reference judgment of consumers is influenced; the system comprises an information collection module, a server, an information storage module, a data acquisition module, a storage statistics module, an information analysis module, an information query module, a transfer and release module and a storage calculation module; according to the invention, the information of evaluating the commodity by the selected user is obtained by analyzing and judging the acquired value of the user; the information analysis module receives commodity information purchased by a user, and storage time and checking times of evaluation information, analyzes and calculates a dump value of the information, and facilitates information distribution to a notebook terminal of the user for storage, so that the information storage module reasonably stores the information.
Description
Technical Field
The invention relates to the technical field of information collection and analysis of big data, in particular to an information collection and analysis system based on big data.
Background
With the development of socioeconomic performance and the improvement of industrialization level, people use big data technology more and more, big data technology becomes a hot spot of social research, big data is often used to form a large amount of unstructured data and semi-structured data created by a company, and the data can cost excessive time and money when being downloaded to a relational database for analysis. The consumer can generate a large amount of data for evaluating the commodity in the shopping process, and the consumer can refer to the commodity evaluation in the commodity purchasing process;
the conventional commodity shopping platform information collecting and analyzing system does not screen evaluation information of users, so that evaluation authenticity of commodities is crossed, and reference judgment of consumers is affected.
Disclosure of Invention
The invention aims to provide an information collection and analysis system based on big data, which is used for solving the problems that the conventional commodity shopping platform information collection and analysis system does not screen evaluation information of users, so that the authenticity of commodity evaluation is crossed and the reference judgment of consumers is influenced; the information collection module collects and processes commodity information and evaluation information purchased by a user, and deletes the commodity information and the evaluation information purchased by the user when the information collection module receives an information failure instruction; acquiring value analysis and judgment are carried out on the user, so that information of evaluating the commodity by the selected user is obtained; the information analysis module receives commodity information purchased by a user, and storage time and checking times of evaluation information, analyzes and calculates a dump value of the information, and facilitates information distribution to a notebook terminal of the user for storage, so that the information storage module reasonably stores the information.
The technical problems to be solved by the invention are as follows:
The aim of the invention can be achieved by the following technical scheme: the information collection and analysis system based on big data comprises an information collection module, a server, an information storage module, a data acquisition module, a data analysis module, a registration and login module, a storage statistics module, an information analysis module, an information query module, a transfer and release module and a storage calculation module;
The information collection module is used for collecting commodity information and evaluation information purchased by a user and processing the commodity information and the evaluation information, and the specific processing steps are as follows:
Step one: acquiring a mobile phone number of the user and generating a collection verification instruction; the information collection module sends the mobile phone number of the user and a collection verification instruction to the server;
step two: the server receives the mobile phone number of the user and sends the mobile phone number to the data analysis module after collecting the verification instruction;
step three: after receiving the mobile phone number of the user and the collection verification instruction, the data analysis module analyzes the user to obtain an acquisition value of the user and sends the acquisition value to the server;
step four: after receiving the acquisition value, the server judges the acquisition value, and when the acquisition value is smaller than a set threshold value, an information acquisition instruction is generated; if not, generating an information failure instruction;
Step five: the server sends an information acquisition instruction or an information failure instruction to the information collection module; meanwhile, the server sends an information failure instruction to an information storage module;
step six: when the information collection module receives the information collection instruction, commodity information and evaluation information purchased by a user are sent to the information storage module through the server for storage; when the information collection module receives the information failure instruction, the information collection module deletes commodity information and evaluation information purchased by a user;
The data acquisition module is used for acquiring user information through the Internet and sending the user information into the server; the data analysis module is used for receiving the mobile phone number of the user, collecting the verification instruction and analyzing the user to obtain the collection value of the user, and the specific analysis steps are as follows:
S1: setting the mobile phone number of a user as Ri, i=1, … … and n; screening user information to obtain comment content, comment value and time, commodity purchase time and purchase amount in six months before the current time of the system;
s2: counting the comment times of comment contents of a user within six months, and marking the comment times as P1 Ri; counting commodity purchase time of the user within six months to obtain commodity purchase times, and marking the commodity purchase times as P2 Ri;
S3: summing the comment values of the users, averaging to obtain a comment average value, and marking the comment average value as Q Ri; summing the purchase amounts of the users to obtain a purchase total, and marking the purchase total as M Ri;
S4: using the formula Acquiring an acquisition value CJ Ri of a user; wherein a1, a2, a3, a4 and a5 are all preset proportional coefficients, mu is an error correction coefficient, and the value is 5.3321; d Ri stores a value for the user's query;
S5: the data analysis module sends the acquired value of the user to the server;
And deleting the purchased commodity information and the evaluation information of the user after the information storage module receives the information failure instruction.
Preferably, the user information comprises a mobile phone number, a name, comment content and time of the user, commodity purchase time and purchase amount; the registration login module is used for a user to submit registration information through the mobile phone terminal for registration and sending the registration information which is successfully registered to the server for storage; the registration information comprises a mobile phone number, a name, an identity card number, a notebook model number and a notebook hard disk capacity of a user; the time when the server receives the registration information of the user is marked as the registration time of the user.
Preferably, the information inquiry module is used for a user to check the purchase commodity information and the evaluation information of the commodity corresponding to the purchasing user through the mobile phone terminal through the server, and meanwhile, collect the checking quantity of the commodity corresponding to the evaluation information checked by the user, and send the checking quantity to the server for storage; when the user checks the purchased commodity information and the evaluation information corresponding to the purchased user, the checking times of the purchased commodity information and the evaluation information of the purchased user are increased by one;
The storage statistics module is used for counting the storage time and the checking times of commodity information purchased by a user and evaluation information; the storage statistics module is used for storing and transmitting commodity information purchased by a user, the storage time and the checking times of the evaluation information to the information analysis module;
The information analysis module receives and analyzes commodity information purchased by a user, and storage time and checking times of evaluation information, and the specific analysis steps are as follows:
Step one: marking commodity information and evaluation information corresponding to the user as TjRi, wherein j=1, … … and n; the storage time of the purchased commodity information and the evaluation information is marked as U TjRi, and the checking number of the purchased commodity information and the evaluation information is marked as E TjRi;
Step two: obtaining the purchased commodity information and a transfer value Z TjRi corresponding to the evaluation information by using a formula Z TjRi＝(TD-UTjRi)*a6-ETjRi a 7; wherein TD is the current time of the system; a6 and a7 are preset proportionality coefficients;
Step three: when the dump value Z TjRi is greater than the set threshold value, generating a dump instruction; and the information analysis module sends the commodity information purchased by the user, the evaluation information and the restocking instruction to the restocking issuing module.
Preferably, the transfer issuing module is configured to receive the purchased commodity information, the evaluation information and the transfer instruction of the user, and perform transfer issuing, and specifically includes the following steps:
step one: when the transfer and release module receives the purchased commodity information, the evaluation information and the transfer instruction of the user, encrypting and compressing the purchased commodity information and the evaluation information of the user to obtain information to be transferred;
Step two: the user accesses the information to be transferred in the transfer and release module through the mobile phone terminal and clicks the transfer and release module, and the transfer and release module obtains the registration time of the user through the server and marks the registration time as T Ri;
step three: setting a preset value corresponding to the notebook model, matching the notebook model of the user with the preset value corresponding to the notebook model, obtaining the corresponding preset value and marking the corresponding preset value as Y Ri; the capacity of a hard disk of the notebook corresponding to the notebook of the user is recorded as F Ri;
Step four: obtaining a dump value G Ri of the user by using a formula G Ri＝YRi*h1+FRi*h2+(TD-TRi)*h3+NRi h 4; wherein, h1, h2, h3 and h4 are all preset proportionality coefficients, and N Ri is the total storage number of users;
step five: when the dump value of the user is larger than the set threshold value, the information to be dumped is sent to a hard disk in the notebook of the user for storage; while the total number of stores for the user increases by one.
Preferably, the storage calculation module is configured to calculate a query storage value of a user, and the specific calculation steps are as follows:
step one: acquiring the storage total number of users and the view number of the users;
Step two: setting the number of user views as K Ri;
step three: obtaining a query storage value D Ri of a user by using a formula D Ri＝NRi*h5+KRi h 6-lambda; wherein, h5 and h6 are preset proportional coefficients, lambda is a calibration value, and the value is 5.6985;
step four: the storage calculation module sends the query stored value of the user to the server for storage.
Compared with the prior art, the invention has the beneficial effects that:
1. the information collection module collects commodity information and evaluation information purchased by a user and processes the commodity information and the evaluation information, acquires the mobile phone number of the user and generates a collection verification instruction; the information collection module sends the mobile phone number of the user and a collection verification instruction to the server; the server receives the mobile phone number of the user and sends the mobile phone number to the data analysis module after collecting the verification instruction; after receiving the mobile phone number of the user and the collection verification instruction, the data analysis module analyzes the user, obtains an acquisition value of the user by using a formula, and sends the acquisition value to the server; after receiving the acquisition value, the server judges the acquisition value, and the server sends an information acquisition instruction or an information failure instruction to the information collection module; meanwhile, the server sends an information failure instruction to an information storage module; when the information collection module receives the information collection instruction, commodity information and evaluation information purchased by a user are sent to the information storage module through the server for storage; when the information collection module receives the information failure instruction, the information collection module deletes commodity information and evaluation information purchased by a user; the information of evaluating the commodity by the selected user is obtained by analyzing and judging the acquired value of the user, so that the problem that the reference judgment of the consumer is affected due to the fact that the evaluating information of the user is not screened in the existing commodity shopping platform is solved;
2. the information analysis module receives and analyzes the commodity information purchased by the user and the storage time and the checking times of the evaluation information, and obtains the dump value corresponding to the purchased commodity information and the evaluation information by utilizing a formula; when the transfer value is larger than the set threshold value, generating a transfer instruction; the information analysis module sends the purchased commodity information, the evaluation information and the restocking instruction of the user to the restocking issuing module, and the restocking issuing module is used for receiving the purchased commodity information, the evaluation information and the restocking instruction of the user and carrying out restocking issuing.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
FIG. 1 is a schematic block diagram of an information collection and analysis system based on big data according to the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, an information collecting and analyzing system based on big data includes an information collecting module, a server, an information storage module, a data collecting module, a data analyzing module, a registration and login module, a storage statistics module, an information analyzing module, an information query module, a transfer and release module and a storage calculation module;
The information collection module is used for collecting commodity information and evaluation information purchased by a user and processing the commodity information and the evaluation information, and the specific processing steps are as follows:
Step one: acquiring a mobile phone number of the user and generating a collection verification instruction; the information collection module sends the mobile phone number of the user and a collection verification instruction to the server;
step two: the server receives the mobile phone number of the user and sends the mobile phone number to the data analysis module after collecting the verification instruction;
step three: after receiving the mobile phone number of the user and the collection verification instruction, the data analysis module analyzes the user to obtain an acquisition value of the user and sends the acquisition value to the server;
step four: after receiving the acquisition value, the server judges the acquisition value, and when the acquisition value is smaller than a set threshold value, an information acquisition instruction is generated; if not, generating an information failure instruction;
Step five: the server sends an information acquisition instruction or an information failure instruction to the information collection module; meanwhile, the server sends an information failure instruction to an information storage module;
step six: when the information collection module receives the information collection instruction, commodity information and evaluation information purchased by a user are sent to the information storage module through the server for storage; when the information collection module receives the information failure instruction, the information collection module deletes commodity information and evaluation information purchased by a user;
The data acquisition module is used for acquiring user information through the Internet and sending the user information into the server; the data analysis module is used for receiving the mobile phone number of the user, collecting the verification instruction and analyzing the user to obtain the collection value of the user, and the specific analysis steps are as follows:
S1: setting the mobile phone number of a user as Ri, i=1, … … and n; screening user information to obtain comment content, comment value and time, commodity purchase time and purchase amount in six months before the current time of the system;
s2: counting the comment times of comment contents of a user within six months, and marking the comment times as P1 Ri; counting commodity purchase time of the user within six months to obtain commodity purchase times, and marking the commodity purchase times as P2 Ri;
S3: summing the comment values of the users, averaging to obtain a comment average value, and marking the comment average value as Q Ri; summing the purchase amounts of the users to obtain a purchase total, and marking the purchase total as M Ri;
S4: using the formula Acquiring an acquisition value CJ Ri of a user; wherein a1, a2, a3, a4 and a5 are all preset proportional coefficients, mu is an error correction coefficient, and the value is 5.3321; d Ri stores a value for the user's query;
S5: the data analysis module sends the acquired value of the user to the server;
Deleting the purchased commodity information and the evaluation information of the user after the information storage module receives the information failure instruction; the commodity information purchased by the user is the name, the ordering time and the receiving time of the commodity; the evaluation information comprises evaluated characters, pictures, videos and scoring values;
The user information comprises the mobile phone number, name, comment content and time of the user, commodity purchase time and purchase amount; the registration login module is used for a user to submit registration information through the mobile phone terminal for registration and sending the registration information which is successfully registered to the server for storage; the registration information comprises a mobile phone number, a name, an identity card number, a notebook model number and a notebook hard disk capacity of a user; the time when the server receives the registration information of the user is marked as the registration time of the user.
The information inquiry module is used for a user to check the purchase commodity information and the evaluation information of the commodity corresponding to the purchasing user through the mobile phone terminal through the server, and meanwhile, the checking quantity of the commodity corresponding to the evaluation information checked by the user is acquired and sent to the server for storage; when the user checks the purchased commodity information and the evaluation information corresponding to the purchased user, the checking times of the purchased commodity information and the evaluation information of the purchased user are increased by one;
The storage statistics module is used for counting the storage time and the checking times of commodity information purchased by a user and evaluation information; the storage statistics module is used for storing and transmitting commodity information purchased by a user, the storage time and the checking times of the evaluation information to the information analysis module;
The information analysis module receives and analyzes commodity information purchased by a user, and storage time and check times of evaluation information, and the specific analysis steps are as follows:
Step one: marking commodity information and evaluation information corresponding to the user as TjRi, wherein j=1, … … and n; the storage time of the purchased commodity information and the evaluation information is marked as U TjRi, and the checking number of the purchased commodity information and the evaluation information is marked as E TjRi;
Step two: obtaining the purchased commodity information and a transfer value Z TjRi corresponding to the evaluation information by using a formula Z TjRi＝(TD-UTjRi)*a6-ETjRi a 7; wherein TD is the current time of the system; a6 and a7 are preset proportionality coefficients;
Step three: when the dump value Z TjRi is greater than the set threshold value, generating a dump instruction; and the information analysis module sends the commodity information purchased by the user, the evaluation information and the restocking instruction to the restocking issuing module.
The transfer and release module is used for receiving commodity information purchased by a user, evaluation information and transfer instructions and performing transfer and release, and comprises the following specific steps:
step one: when the transfer and release module receives the purchased commodity information, the evaluation information and the transfer instruction of the user, encrypting and compressing the purchased commodity information and the evaluation information of the user to obtain information to be transferred;
Step two: the user accesses the information to be transferred in the transfer and release module through the mobile phone terminal and clicks the transfer and release module, and the transfer and release module obtains the registration time of the user through the server and marks the registration time as T Ri;
step three: setting a preset value corresponding to the notebook model, matching the notebook model of the user with the preset value corresponding to the notebook model, obtaining the corresponding preset value and marking the corresponding preset value as Y Ri; the capacity of a hard disk of the notebook corresponding to the notebook of the user is recorded as F Ri;
Step four: obtaining a dump value G Ri of the user by using a formula G Ri＝YRi*h1+FRi*h2+(TD-TRi)*h3+NRi*h4; wherein, h1, h2, h3 and h4 are all preset proportionality coefficients, and N Ri is the total storage number of users;
step five: when the dump value of the user is larger than the set threshold value, the information to be dumped is sent to a hard disk in the notebook of the user for storage; while the total number of stores for the user increases by one.
The storage calculation module is used for calculating the query storage value of the user, and the specific calculation steps are as follows:
step one: acquiring the storage total number of users and the view number of the users;
Step two: setting the number of user views as K Ri;
step three: obtaining a query storage value D Ri of a user by using a formula D Ri＝NRi*h5+KRi h 6-lambda; wherein, h5 and h6 are preset proportional coefficients, lambda is a calibration value, and the value is 5.6985;
step four: the storage calculation module sends the query stored value of the user to the server for storage.
The working principle of the invention is as follows: the information collection module is used for collecting commodity information and evaluation information purchased by a user and processing the commodity information and the evaluation information, acquiring the mobile phone number of the user and generating a collection verification instruction; the information collection module sends the mobile phone number of the user and a collection verification instruction to the server; the server receives the mobile phone number of the user and sends the mobile phone number to the data analysis module after collecting the verification instruction; after receiving the mobile phone number of the user and the collection verification instruction, the data analysis module analyzes the user, obtains an acquisition value of the user by using a formula, and sends the acquisition value to the server; after receiving the acquisition value, the server judges the acquisition value, and the server sends an information acquisition instruction or an information failure instruction to the information collection module; meanwhile, the server sends an information failure instruction to an information storage module; when the information collection module receives the information collection instruction, commodity information and evaluation information purchased by a user are sent to the information storage module through the server for storage; when the information collection module receives the information failure instruction, the information collection module deletes commodity information and evaluation information purchased by a user; the information of evaluating the commodity by the selected user is obtained by analyzing and judging the acquired value of the user, so that the problem that the reference judgment of the consumer is affected due to the fact that the evaluating information of the user is not screened in the existing commodity shopping platform is solved; the data analysis module is used for receiving the mobile phone number of the user, collecting the verification instruction, analyzing the user to obtain the collection value of the user, screening the user information, and obtaining comment content, comment value and time, commodity purchase time and purchase amount in six months before the current time of the system; counting the comment times of comment contents of a user in six months; counting commodity purchase time of the user within six months to obtain commodity purchase times, summing comment values of the user, and averaging to obtain a comment average value; summing the purchase amount of the user to obtain a purchase total, and utilizing a formulaAcquiring an acquisition value CJ Ri of a user; the data analysis module sends the acquired value of the user to the server; the information analysis module receives and analyzes the commodity information purchased by the user and the storage time and the checking times of the evaluation information, and obtains a transfer value Z TjRi corresponding to the purchased commodity information and the evaluation information by utilizing a formula Z TjRi＝(TD-UTjRi)*a6-ETjRi; when the dump value Z TjRi is greater than the set threshold value, generating a dump instruction; the information analysis module sends the purchased commodity information, the evaluation information and the restocking instruction of the user to the restocking issuing module, and the restocking issuing module is used for receiving the purchased commodity information, the evaluation information and the restocking instruction of the user and carrying out restocking issuing.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form 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 understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (5)
1. The information collection and analysis system based on big data is characterized by comprising an information collection module, a server, an information storage module, a data acquisition module, a data analysis module, a registration and login module, a storage statistics module, an information analysis module, an information query module, a transfer and release module and a storage calculation module;
The information collection module is used for collecting commodity information and evaluation information purchased by a user and processing the commodity information and the evaluation information, and the specific processing steps are as follows:
Step one: acquiring a mobile phone number of the user and generating a collection verification instruction; the information collection module sends the mobile phone number of the user and a collection verification instruction to the server;
step two: the server receives the mobile phone number of the user and sends the mobile phone number to the data analysis module after collecting the verification instruction;
step three: after receiving the mobile phone number of the user and the collection verification instruction, the data analysis module analyzes the user to obtain an acquisition value of the user and sends the acquisition value to the server;
step four: after receiving the acquisition value, the server judges the acquisition value, and when the acquisition value is smaller than a set threshold value, an information acquisition instruction is generated; if not, generating an information failure instruction;
Step five: the server sends an information acquisition instruction or an information failure instruction to the information collection module; meanwhile, the server sends an information failure instruction to the information storage module;
step six: when the information collection module receives the information collection instruction, commodity information and evaluation information purchased by a user are sent to the information storage module through the server for storage; when the information collection module receives the information failure instruction, the information collection module deletes commodity information and evaluation information purchased by a user;
The data acquisition module is used for acquiring user information through the Internet and sending the user information into the server; the data analysis module is used for receiving the mobile phone number of the user, collecting the verification instruction and analyzing the user to obtain the collection value of the user, and the specific analysis steps are as follows:
S1: setting the mobile phone number of a user as Ri, i=1, … … and n; screening user information to obtain comment content, comment value and time, commodity purchase time and purchase amount in six months before the current time of the system;
s2: counting the comment times of comment contents of a user within six months, and marking the comment times as P1 Ri; counting commodity purchase time of the user within six months to obtain commodity purchase times, and marking the commodity purchase times as P2 Ri;
S3: summing the comment values of the users, averaging to obtain a comment average value, and marking the comment average value as Q Ri; summing the purchase amounts of the users to obtain a purchase total, and marking the purchase total as M Ri;
S4: using the formula Acquiring an acquisition value CJ Ri of a user; wherein a1, a2, a3, a4 and a5 are all preset proportional coefficients, mu is an error correction coefficient, and the value is 5.3321; d Ri stores a value for the user's query;
S5: the data analysis module sends the acquired value of the user to the server;
And deleting the purchased commodity information and the evaluation information of the user after the information storage module receives the information failure instruction.
2. The big data based information collecting and analyzing system of claim 1, wherein the user information includes a user's mobile phone number, name, comment content and time, and commodity purchase time and purchase amount; the registration login module is used for a user to submit registration information through the mobile phone terminal for registration and sending the registration information which is successfully registered to the server for storage; the registration information comprises a mobile phone number, a name, an identity card number, a notebook model number and a notebook hard disk capacity of a user; the time when the server receives the registration information of the user is marked as the registration time of the user.
3. The information collection and analysis system based on big data according to claim 1, wherein the information query module is used for a user to check the purchase commodity information and the evaluation information of the commodity corresponding to the user through a server through a mobile phone terminal, and simultaneously collect the check number of the commodity corresponding evaluation information checked by the user, and send the check number to the server for storage; when the user checks the purchased commodity information and the evaluation information corresponding to the purchased user, the checking times of the purchased commodity information and the evaluation information of the purchased user are increased by one;
The storage statistics module is used for counting the storage time and the checking times of commodity information purchased by a user and evaluation information; the storage statistics module is used for storing and transmitting commodity information purchased by a user, the storage time and the checking times of the evaluation information to the information analysis module;
The information analysis module receives and analyzes commodity information purchased by a user, and storage time and checking times of evaluation information, and the specific analysis steps are as follows:
Step one: marking commodity information and evaluation information corresponding to the user as TjRi, wherein j=1, … … and n; the storage time of the purchased commodity information and the evaluation information is marked as U TjRi, and the checking number of the purchased commodity information and the evaluation information is marked as E TjRi;
Step two: obtaining the purchased commodity information and a transfer value Z TjRi corresponding to the evaluation information by using a formula Z TjRi＝(TD-UTjRi)*a6-ETjRi a 7; wherein TD is the current time of the system; a6 and a7 are preset proportionality coefficients;
Step three: when the dump value Z TjRi is greater than the set threshold value, generating a dump instruction; and the information analysis module sends the commodity information purchased by the user, the evaluation information and the restocking instruction to the restocking issuing module.
4. The information collecting and analyzing system based on big data according to claim 1, wherein the transfer and issuing module is configured to receive information of a commodity purchased by a user, evaluation information and a transfer instruction, and perform transfer and issuing, and the specific steps are as follows:
step one: when the transfer and release module receives the purchased commodity information, the evaluation information and the transfer instruction of the user, encrypting and compressing the purchased commodity information and the evaluation information of the user to obtain information to be transferred;
Step two: the user accesses the information to be transferred in the transfer and release module through the mobile phone terminal and clicks the transfer and release module, and the transfer and release module obtains the registration time of the user through the server and marks the registration time as T Ri;
step three: setting a preset value corresponding to the notebook model, matching the notebook model of the user with the preset value corresponding to the notebook model, obtaining the corresponding preset value and marking the corresponding preset value as Y Ri; the capacity of a hard disk of the notebook corresponding to the notebook of the user is recorded as F Ri;
Step four: obtaining a dump value G Ri of the user by using a formula G Ri＝YRi*h1+FRi*h2+(TD-TRi)*h3+NRi h 4; wherein, h1, h2, h3 and h4 are all preset proportionality coefficients, and N Ri is the total storage number of users;
step five: when the dump value of the user is larger than the set threshold value, the information to be dumped is sent to a hard disk in the notebook of the user for storage; while the total number of stores for the user increases by one.
5. The big data based information collection and analysis system according to claim 1, wherein the storage calculation module is configured to calculate a query storage value of a user, and the specific calculation steps are as follows:
step one: acquiring the storage total number of users and the view number of the users;
Step two: setting the number of user views as K Ri;
step three: obtaining a query storage value D Ri of a user by using a formula D Ri＝NRi*h5+KRi h 6-lambda; wherein, h5 and h6 are preset proportional coefficients, lambda is a calibration value, and the value is 5.6985;
step four: the storage calculation module sends the query stored value of the user to the server for storage.
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