CN113868509A - Science and technology policy data information consultation service system based on cloud computing - Google Patents
Science and technology policy data information consultation service system based on cloud computing Download PDFInfo
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Abstract
The invention discloses a scientific and technological policy data information consultation service system based on cloud computing, which belongs to the field of data processing and is used for solving the problems that a scientific and technological policy data information consultation server is slow in inquiry and cannot provide good consulting service in a network environment, and comprises an intelligent identification module, an environment analysis module, a heat calculation module and a distributed storage module, wherein the heat calculation module is used for carrying out heat calculation on scientific and technological policy data in a cloud platform, the heat calculation module feeds a heat value of a data packet back to the cloud platform, the distributed storage module is used for storing the scientific and technological policy data in a distributed manner, the intelligent identification module is used for identifying inquiry keywords input by consultants, the environment analysis module is used for analyzing the consulting service environment of the system, and the distributed storage and rapid inquiry of the scientific and technological policy data information in the cloud platform are realized, meanwhile, a good network environment is provided for the consulting service scientific and technological policy data information consulting service.
Description
Technical Field
The invention belongs to the field of data processing, relates to a consulting service technology, and particularly relates to a scientific and technological policy data information consulting service system based on cloud computing.
Background
The science and technology policy is a basic action rule specified by the state to realize a science and technology task in a certain historical period, and is a strategy and a strategy principle for determining the development direction of a science and technology career and guiding the whole science and technology career.
In the prior art, the technology policy data stored and obtained by a cloud platform are various in types and large in data quantity, and when the technology policy data information needs to be consulted, a system needs to divide a large amount of time for checking, so that the service quality and the working efficiency are reduced; meanwhile, when consulting service scientific and technological policy data information is carried out, the system is difficult to provide a good network environment, so that data receiving and transmission and data consulting progress is slow, and consulting service quality is greatly reduced.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a scientific and technological policy data information consultation service system based on cloud computing.
The technical problem to be solved by the invention is as follows:
(1) how to realize distributed storage and rapid query of technological policy data information in a cloud platform;
(2) how to provide a good network environment when consulting service technology policy data information.
The purpose of the invention can be realized by the following technical scheme:
the scientific and technological policy data information consultation service system based on cloud computing comprises a personal terminal, an intelligent identification module, an environment analysis module, a heat degree calculation module, a distribution storage module, a data acquisition module and a cloud platform;
the data acquisition module is used for acquiring the consultation information of the scientific and technological policy data and sending the consultation information to the cloud platform, and the cloud platform sends the consultation information to the heat calculation module; the system comprises a heat calculation module, a distribution storage module and a heat calculation module, wherein the heat calculation module is used for performing heat calculation on scientific and technological policy data in a cloud platform, integrating each scientific and technological policy data into a data packet, calculating to obtain a heat value of the data packet, the heat calculation module feeds the heat value of the data packet back to the cloud platform, the cloud platform sends the heat value of the data packet to the distribution storage module, and the distribution storage module is used for storing the scientific and technological policy data in a distributed mode;
when a personal terminal consults a science and technology policy, a consultant inputs query keywords through the personal terminal and sends the query keywords to a cloud platform and an intelligent identification module, the intelligent identification module is used for identifying the query keywords input by the consultant and identifying the query keywords to obtain matching keywords, the intelligent identification module sends the matching keywords to the cloud platform, the cloud platform obtains a corresponding data packet according to the matching keywords, and the cloud platform sends the science and technology policy data in the data packet to the corresponding personal terminal;
when scientific and technological policy data information consultation service is carried out, the environment analysis module is used for analyzing the consultation service environment of the system, analyzing and generating a network abnormal signal or generating a network normal signal, and the environment analysis module feeds the network abnormal signal or the network normal signal back to the cloud platform.
Further, the consulting information includes browsing times of the scientific and technological policy data, duration of each browsing and downloading times.
Further, the calculation process of the heat calculation module is specifically as follows:
step S1: integrating each scientific and technological policy data into a data packet, marking the data packet as u, u being 1, 2, … …, z and z being positive integers after adding identification keywords of the scientific and technological policy data; acquiring the uploading time of the data packet, and subtracting the uploading time from the current time of the system to obtain the storage time length TCu of the data packet;
step S2: acquiring the browsing times of the data packet, and marking the browsing times as LCu;
step S3: acquiring the browsing time length of each browsing of the data packet, and adding and summing the browsing time lengths of each browsing and dividing the sum by the browsing times to obtain the browsing average time TLJu;
step S4: acquiring the downloading times of the data packet, and comparing the downloading times with the browsing times to obtain the downloading rate XZLU of the data packet;
step S5: using formulas
Calculating to obtain a heat value RDu of the data packet; in the formula, a1 and a2 are proportionality coefficients with fixed values, and the values of a1 and a2 are both larger than zero.
Further, the working process of the distributed storage module is specifically as follows:
step SS 1: obtaining a heat value RDu of the data packet and comparing the heat value with a heat threshold, wherein the heat threshold comprises X1 and X2, and X1 is less than X2;
if RDu < X1, defining the data packet as cold data;
if X1 is not less than RDu and is less than X2, defining the data packet as normal data;
if X2 is less than or equal to RDu, defining the data packet as hot data;
step SS 2: the cold data is stored in a first storage space, the normal data is stored in a second storage space, the hot data is stored in a third storage space, and the average value of the first storage space, the second storage space and the third storage space is provided with a picture storage area, an audio storage area and a document storage area;
step SS 3: respectively obtaining picture files, audio files and document files in cold data, conventional data and hot data, and counting the number of the picture files, the number of the audio files, the number of the document files and the total number of the files, wherein the picture occupation ratio, the audio occupation ratio and the document occupation ratio of the cold data, the conventional data and the hot data are obtained after comparing the number of the picture files, the number of the audio files and the total number of the files one by one;
step SS 4: comparing the picture occupation ratio, the audio occupation ratio and the document occupation ratio of the cold data, if the picture occupation ratio is the highest, dividing the cold data into a picture storage area of a first storage space, if the audio occupation ratio is the highest, dividing the cold data into an audio storage area of the first storage space, if the document occupation ratio is the highest, dividing the cold data into the audio storage area of the first storage space, if the audio occupation ratio is the highest, dividing the cold data into the audio storage area of the first storage space;
step SS 5: comparing the picture occupation ratio, the audio occupation ratio and the document occupation ratio of the common data with each other, if the picture occupation ratio is highest, dividing the common data into a picture storage area of a first storage space, if the audio occupation ratio is highest, dividing the common data into an audio storage area of the first storage space, if the document occupation ratio is highest, dividing the common data into the first storage space, and if the audio occupation ratio is highest, dividing the cold data into the audio storage area of the first storage space;
step SS 6: comparing the picture occupation ratio, the audio occupation ratio and the document occupation ratio of the hot data, if the picture occupation ratio is the highest, dividing the hot data into a picture storage area of a first storage space, if the audio occupation ratio is the highest, dividing the hot data into an audio storage area of the first storage space, if the document occupation ratio is the highest, dividing the hot data into the audio storage area of the first storage space, if the audio occupation ratio is the highest, dividing the hot data into the audio storage area of the first storage space.
Further, the identification process of the intelligent identification module is specifically as follows:
the method comprises the following steps: marking the personal terminal as i, i is 1, 2, … …, and x is a positive integer; acquiring query keywords input by a personal terminal, and marking the query keywords as GJi;
step two: acquiring a data packet in the cloud platform, and extracting identification keywords in the data packet to obtain a plurality of identification keywords GJu;
step three: and comparing the query keyword GJi with the recognition keyword GJu, obtaining a matched recognition keyword by adopting a character recognition technology, and recording the recognition keyword as the matched keyword.
Further, the analysis process of the environment analysis module is specifically as follows:
step W1: acquiring a network connected with a scientific and technological policy data information consultation service system, acquiring the terminal connection number of the network in the previous month, and calculating the average value to obtain the terminal daily connection number of the network;
step W2: acquiring a downloading speed average value XZi, an uploading speed average value SCi, a signal intensity average value QDi and a ping average value PDi of a network connection personal terminal;
step W3: acquiring gateway equipment corresponding to a network, centering on the location of the gateway equipment corresponding to the network, and establishing a defined signal area with a preset radius to obtain a plurality of signal sectors, wherein the plurality of signal sectors are expressed by coordinates (o, p);
step W4: acquiring a downloading speed threshold Xop, an uploading speed threshold Sop, a signal strength threshold Qop and a ping threshold Pop of a corresponding signal sector in the cloud platform;
step W5: and calculating to obtain the network fluctuation value GBi of the personal terminal by using a formula, wherein the formula is as follows:
step W6: adding and summing the network fluctuation values of the personal terminals, and dividing the sum by the daily connection number of the terminals to obtain the fluctuation value of the network connected with the science and technology policy data information consultation service system;
step W7: when the fluctuation value of the network is greater than or equal to a set threshold value, generating a network abnormal signal; and when the fluctuation value of the network is smaller than the set threshold value, generating a normal network signal.
Further, the method for forming the signal sector in step W3 is as follows:
a circled signal area with a preset radius is established by taking the location of the gateway equipment corresponding to the network as a center, and the signal area is divided into a plurality of signal sectors according to linear intervals and clockwise angles;
a plurality of signal sectors are sequentially divided into o, o is 1, 2, … …, v and v are positive integers according to a clockwise angle sequence;
the signal sectors are further sequentially divided into p according to the distance sequence from near to far, wherein p is 1, 2, … …, n is a positive integer;
the signal sector is represented by the coordinates (o, p).
Compared with the prior art, the invention has the beneficial effects that:
1. according to the method, the heat calculation module is used for carrying out heat calculation on the scientific and technological policy data in the cloud platform, each scientific and technological policy data is integrated into a data packet and calculated to obtain a heat value, the heat value of the data packet is sent to the distributed storage module, the scientific and technological policy data are stored in a distributed mode through the distributed storage module, the data packet is defined as cold data, conventional data or hot data after the heat value is compared with a heat threshold value, so that a corresponding storage space is primarily distributed, then the cold data, the conventional data or the hot data are divided into corresponding storage areas according to the picture occupation ratio, the audio occupation ratio and the document occupation ratio, the inquiry efficiency of the scientific and technological policy data information is improved, and the quality and the efficiency of the consulting service of the scientific and technological policy data information are improved;
2. the consulting service environment of the system is analyzed through the environment analysis module, a plurality of signal sectors are obtained according to the downloading speed average value, the uploading speed average value, the signal intensity average value and the ping average value of the personal terminal and the linear distance and the clockwise angle, the downloading speed threshold value, the uploading speed threshold value, the signal intensity threshold value and the ping threshold value of the corresponding signal sector in the cloud platform are obtained, the fluctuation value of a network connected with the scientific and technological policy data information consulting service system is obtained through formula calculation, the fluctuation value is compared with the set threshold value to generate a network abnormal signal or a network normal signal, and a good network environment is conveniently provided for the scientific and technological policy data information consulting service.
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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 an overall system block diagram of the present invention;
FIG. 2 is a system block diagram of a personal terminal according to the present invention;
FIG. 3 is a block diagram of yet another system of the present invention;
fig. 4 is a schematic diagram of a signal sector structure according to 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 to 4, the cloud computing-based science and technology policy data information consultation service system includes a personal terminal, an intelligent recognition module, an environment analysis module, a heat calculation module, a distributed storage module, a data acquisition module, and a cloud platform;
the personal terminal comprises a registration login unit and an information receiving and sending unit, the registration login unit is used for registering a login system after personal information is input by consultants, workers and managers and sending the personal information to the cloud platform, and the information receiving and sending unit is used for receiving and sending information by the consultants, the workers and the managers;
the data acquisition module is used for acquiring the consultation information of the scientific and technological policy data and sending the consultation information to the cloud platform, and the cloud platform sends the consultation information to the heat calculation module;
specifically, the consulting information includes browsing times of the scientific and technological policy data, duration of each browsing, downloading times and the like;
the heat degree calculation module is used for carrying out heat degree calculation on the scientific and technological policy data in the cloud platform, and the calculation process specifically comprises the following steps:
step S1: integrating each scientific and technological policy data into a data packet, marking the data packet as u, u being 1, 2, … …, z and z being positive integers after adding identification keywords of the scientific and technological policy data; acquiring the uploading time of the data packet, and subtracting the uploading time from the current time of the system to obtain the storage time length TCu of the data packet;
step S2: acquiring the browsing times of the data packet, and marking the browsing times as LCu;
step S3: acquiring the browsing time length of each browsing of the data packet, and adding and summing the browsing time lengths of each browsing and dividing the sum by the browsing times to obtain the browsing average time TLJu;
step S4: acquiring the downloading times of the data packet, and comparing the downloading times with the browsing times to obtain the downloading rate XZLU of the data packet;
step S5: using formulas
Calculating to obtain a heat value RDu of the data packet; in the formula, a1 and a2 are proportionality coefficients with fixed numerical values, and the values of a1 and a2 are both greater than zero;
the heat degree calculating module feeds back the heat degree value of the data packet to the cloud platform, the cloud platform sends the heat degree value of the data packet to the distribution storage module, the distribution storage module is used for storing scientific and technological policy data in a distributed mode, and the working process is as follows:
step SS 1: obtaining a heat value RDu of the data packet and comparing the heat value with a heat threshold, wherein the heat threshold comprises X1 and X2, and X1 is less than X2;
if RDu < X1, defining the data packet as cold data;
if X1 is not less than RDu and is less than X2, defining the data packet as normal data;
if X2 is less than or equal to RDu, defining the data packet as hot data;
step SS 2: the cold data is stored in a first storage space, the normal data is stored in a second storage space, the hot data is stored in a third storage space, and the average value of the first storage space, the second storage space and the third storage space is provided with a picture storage area, an audio storage area and a document storage area;
step SS 3: respectively obtaining picture files, audio files and document files in cold data, conventional data and hot data, and counting the number of the picture files, the number of the audio files, the number of the document files and the total number of the files, wherein the picture occupation ratio, the audio occupation ratio and the document occupation ratio of the cold data, the conventional data and the hot data are obtained after comparing the number of the picture files, the number of the audio files and the total number of the files one by one;
step SS 4: comparing the picture occupation ratio, the audio occupation ratio and the document occupation ratio of the cold data, if the picture occupation ratio is the highest, dividing the cold data into a picture storage area of a first storage space, if the audio occupation ratio is the highest, dividing the cold data into an audio storage area of the first storage space, if the document occupation ratio is the highest, dividing the cold data into the audio storage area of the first storage space, if the audio occupation ratio is the highest, dividing the cold data into the audio storage area of the first storage space;
step SS 5: comparing the picture occupation ratio, the audio occupation ratio and the document occupation ratio of the common data with each other, if the picture occupation ratio is highest, dividing the common data into a picture storage area of a first storage space, if the audio occupation ratio is highest, dividing the common data into an audio storage area of the first storage space, if the document occupation ratio is highest, dividing the common data into the first storage space, and if the audio occupation ratio is highest, dividing the cold data into the audio storage area of the first storage space;
step SS 6: comparing the picture occupation ratio, the audio occupation ratio and the document occupation ratio of the hot data, if the picture occupation ratio is highest, dividing the hot data into a picture storage area of a first storage space, if the audio occupation ratio is highest, dividing the hot data into an audio storage area of the first storage space, if the document occupation ratio is highest, dividing the hot data into an audio storage area of the first storage space, if the audio occupation ratio is highest, dividing the hot data into the audio storage area of the first storage space;
when the personal terminal needs to consult the science and technology policy, the consultant inputs the query keyword through the information receiving and sending unit in the personal terminal and sends the query keyword to the cloud platform and the intelligent identification module, the intelligent identification module is used for identifying the query keyword input by the consultant, and the identification process is as follows:
the method comprises the following steps: marking the personal terminal as i, i is 1, 2, … …, and x is a positive integer; acquiring query keywords input by a personal terminal, and marking the query keywords as GJi;
step two: acquiring a data packet in the cloud platform, and extracting identification keywords in the data packet to obtain a plurality of identification keywords GJu;
step three: comparing the query keyword GJi with the recognition keyword GJu, obtaining a matched recognition keyword by adopting a character recognition technology, and recording the recognition keyword as the matched keyword;
specifically, the character recognition technology is a technology for automatically recognizing characters by using a computer, and is an important field of pattern recognition application. People need to process a large amount of words, reports and texts in production and life. In order to reduce the labor of people and improve the processing efficiency, the 50 s began to discuss the general character recognition method and develop an optical character recognizer. In the 60 s, utility machines using magnetic ink and special fonts were introduced. In the later 60 s, a plurality of character types and handwritten character recognition machines appeared, and the recognition precision and the machine performance of the character recognition machines can basically meet the requirements. Such as a handwritten form number recognition machine and a printed form english number recognition machine for letter sorting. In the 70 s, the basic theory of character recognition is mainly researched, a high-performance character recognition machine is developed, and the research of character recognition is emphasized;
the intelligent identification module sends the matching keywords to a cloud platform, the cloud platform obtains corresponding data packets according to the matching keywords, and the cloud platform sends technological policy data in the data packets to corresponding personal terminals;
referring to fig. 4, when performing a science and technology policy data information consultation service, it is necessary to monitor a network environment and a security environment of the system in real time to avoid leakage of the science and technology policy data information, the environment analysis module is configured to analyze a consultation service environment of the system, and an analysis process specifically includes:
step W1: acquiring a network connected with a scientific and technological policy data information consultation service system, acquiring the terminal connection number of the network in the previous month, and calculating the average value to obtain the terminal daily connection number of the network;
step W2: acquiring the downloading speed and the downloading duration of the network connection personal terminal, calculating to obtain a downloading speed average value, and marking the downloading speed average value as XZi; acquiring the uploading speed and uploading duration of a personal terminal connected with a network, calculating to obtain an uploading speed average value, and marking the uploading speed average value as SCi;
calculating the network signal strength and ping value of the personal terminal to obtain a corresponding signal strength mean value QDi and a corresponding ping mean value PDi;
step W3: acquiring gateway equipment corresponding to a network, centering on the location of the gateway equipment corresponding to the network, and establishing a defined signal area with a preset radius, wherein the signal area is divided into a plurality of signal sectors according to linear intervals and clockwise angles, the plurality of signal sectors are sequentially divided into o, o is 1, 2, … …, v and v are positive integers according to the clockwise angle sequence, the plurality of signal sectors are sequentially divided into p, p is 1, 2, … …, n and n are positive integers according to the distance sequence from near to far, and the plurality of signal sectors can be represented by coordinates (o and p);
step W4: acquiring a downloading speed threshold Xop, an uploading speed threshold Sop, a signal strength threshold Qop and a ping threshold Pop of a corresponding signal sector in the cloud platform;
step W5: and calculating to obtain the network fluctuation value GBi of the personal terminal by using a formula, wherein the formula is as follows:
step W6: adding and summing the network fluctuation values of the personal terminals, and dividing the sum by the daily connection number of the terminals to obtain the fluctuation value of the network connected with the science and technology policy data information consultation service system;
step W7: when the fluctuation value of the network is greater than or equal to a set threshold value, generating a network abnormal signal; when the fluctuation value of the network is smaller than a set threshold value, generating a network normal signal;
the environment analysis module feeds back the network abnormal signal or the network normal signal to the cloud platform;
as shown in fig. 3, the system further includes an authority tuning module, and in specific implementation, the intelligent identification module is further configured to identify identity information of the personal terminal, identify the identity information by using an IP address of the personal terminal, and identify and obtain a role of a consultant, a role of a worker, and a role of a manager, and send the role of the consultant, the role of the worker, and the role of the manager to the authority tuning module; after the authority dispatching module receives the user role, the worker role and the manager role sent by the intelligent identification module, the authority dispatching module dispatches the access authority of the user according to the role, and the dispatching process specifically comprises the following steps:
step Q1: dividing the personal terminal into a beginner, a consultant, a worker and a manager through IP address identification;
if the consultation personnel are available, the next step is carried out;
step Q2: acquiring the times of logging in coefficients by a consultant by using the personal terminal, and recording the times as logging-in times DCu, wherein u represents the personal terminal;
step Q3: the logging-in time length of each logging-in of the consultant is counted, and the average logging-in time length JDTu of the consultant is obtained by adding the logging-in time length of each logging-in and dividing the sum by the logging-in times; acquiring the times of downloading scientific and technological policy data by a consultant, and recording the times as the downloading times XZCU;
step Q4: calculating a right limit value QXu of the personal terminal by using a formula QXu (XZCU/JDTu);
step Q5: if QXu is less than Y1, recording the authority level of the consultant as a second authority level;
if Y1 is not more than QXu and is more than X2, recording the authority level of the consultant as a third authority level; wherein Y1 is an authority threshold;
step Q6: recording the authority level of the initial visit personnel as a first authority level, and setting the authority levels of the working personnel and the management personnel as a fourth authority level;
the authority classifying module feeds back the authority level of the user to the cloud platform, and the cloud platform gives the corresponding access authority to the personal terminal according to the authority level;
it should be specifically noted that the first permission level is limited to browsing of the technology policy data, the second permission level includes browsing and downloading of the technology policy data, the third permission level includes browsing, downloading and uploading of the technology policy data, and the fourth permission level includes browsing, downloading, uploading and deleting of the technology policy data.
Science and technology based on cloud computingPolicy data information consultation service system, during operation, through the consulting information of data acquisition module collection science and technology policy data to with consulting information transmission to cloud platform, cloud platform sends consulting information transmission to heat and calculates the module, then carries out heat and calculates to the science and technology policy data in the cloud platform through heat and calculates the module, integrates every science and technology policy data into the data packet, and the identification keyword of mark science and technology policy data obtains the long TCu of storage of data packet, browses number of times LCu, browses when equal TLJu and download rate XZLU, utilizes formula
Calculating to obtain a heat value RDu of the data packet, feeding the heat value of the data packet back to the cloud platform by the heat calculation module, and sending the heat value of the data packet to the distribution storage module by the cloud platform;
the technology policy data is stored in a distributed storage module in a distributed mode, a heat value RDu of a data packet is obtained and compared with a heat threshold value, if RDu is larger than X1, the data packet is defined as cold data, if X1 is not smaller than RDu and is smaller than X2, the data packet is defined as normal data, if X2 is not larger than RDu, the data packet is defined as hot data, the cold data is stored in a first storage space, the normal data is stored in a second storage space, the hot data is stored in a third storage space, the average values of the first storage space, the second storage space and the third storage space are provided with a picture storage area, an audio storage area and a document storage area, picture files, audio files and document files in the cold data, the normal data and the hot data are respectively obtained, the number of the picture files, the number of the audio files, the number of the document files and the total number of the document files are counted, and the number of the cold data, the audio files and the total number of the document files are compared one by one to obtain the cold data, The picture proportion of the regular data and the hot data, the audio proportion and the document proportion;
comparing the picture occupation ratio, the audio occupation ratio and the document occupation ratio of the cold data, if the picture occupation ratio is the highest, dividing the cold data into a picture storage area of a first storage space, if the audio occupation ratio is the highest, dividing the cold data into an audio storage area of the first storage space, if the document occupation ratio is the highest, dividing the cold data into the audio storage area of the first storage space, if the audio occupation ratio is the highest, dividing the cold data into the audio storage area of the first storage space;
comparing the picture occupation ratio, the audio occupation ratio and the document occupation ratio of the common data with each other, if the picture occupation ratio is highest, dividing the common data into a picture storage area of a first storage space, if the audio occupation ratio is highest, dividing the common data into an audio storage area of the first storage space, if the document occupation ratio is highest, dividing the common data into the first storage space, and if the audio occupation ratio is highest, dividing the cold data into the audio storage area of the first storage space;
comparing the picture occupation ratio, the audio occupation ratio and the document occupation ratio of the hot data, if the picture occupation ratio is highest, dividing the hot data into a picture storage area of a first storage space, if the audio occupation ratio is highest, dividing the hot data into an audio storage area of the first storage space, if the document occupation ratio is highest, dividing the hot data into an audio storage area of the first storage space, if the audio occupation ratio is highest, dividing the hot data into the audio storage area of the first storage space;
when the personal terminal needs to consult the science and technology policy, a consultant inputs a query keyword through an information receiving and sending unit in the personal terminal and sends the query keyword to the cloud platform and the intelligent identification module, the intelligent identification module is also used for identifying the query keyword input by the consultant, obtaining the query keyword GJi input by the personal terminal and an identification keyword GJu in a data packet, comparing the query keyword GJi with the identification keyword GJu, obtaining a matched identification keyword by adopting a character identification technology, recording the identification keyword as the matched keyword, the intelligent identification module sends the matched keyword to the cloud platform, the cloud platform obtains a corresponding data packet according to the matched keyword, and the cloud platform sends the science and technology policy data in the data packet to the corresponding personal terminal;
when scientific and technological policy data information consultation service is carried out, the network environment and the safety environment of the system need to be monitored in real time, and scientific and technological administration is avoidedAnalyzing the consultation service environment of the system through an environment analysis module to obtain a network connected with a science and technology policy data information consultation service system, obtaining the terminal connection number of the network in the previous month, calculating the average value to obtain the terminal daily connection number of the network, then obtaining the download speed average value XZi, the upload speed average value SCi, the signal intensity average value QDi and the ping average value PDi of a network-connected personal terminal, meanwhile, taking the location of the gateway equipment corresponding to the network as the center and establishing a circled signal area with a preset radius, dividing the signal area into a plurality of signal sectors according to the linear distance and the clockwise angle, expressing the plurality of signal sectors by coordinates (o, p), obtaining the download speed threshold value Xop, the upload speed threshold value Sop, the signal intensity threshold value p and the ping threshold value Pop of the corresponding signal sector in a cloud platform, and utilizing a formula
Calculating to obtain a network fluctuation value GBi of the personal terminal, adding and summing the network fluctuation values of the personal terminal, and dividing the sum by the daily connection number of the terminal to obtain a fluctuation value of a network connected with the science and technology policy data information consultation service system, when the fluctuation value of the network is greater than or equal to a set threshold value, generating a network abnormal signal, and when the fluctuation value of the network is smaller than the set threshold value, generating a network normal signal, and feeding the network abnormal signal or the network normal signal back to the cloud platform by the environment analysis module;
meanwhile, the intelligent identification module identifies the identity information of the personal terminal, identifies by using the IP address of the personal terminal to obtain a role of a consultant, a role of a worker and a role of a manager, and sends the role of the consultant, the role of the worker and the role of the manager to the authority adjustment module, the authority adjustment module adjusts the access authority of the user according to the roles, divides the personal terminal into a first visit person, the consultant, the worker and the manager according to the IP address identification, if the first visit person is the consultant, obtains the times DCu of the consultant using the login coefficient of the personal terminal, the average login duration Tu and the download times XZCU, calculates by using a formula QXu XZCU/JDTu to obtain the authority limit QXu of the personal terminal, if QXu is less than Y1, the authority level of the consultant is recorded as a second authority level, if Y1 is less than or equal to QXu and is less than X2, the authority level of the consultant is recorded as a third authority level, meanwhile, the authority level of the initial visit personnel is set as a first authority level, the authority levels of the working personnel and the management personnel are set as a fourth authority level, the authority level of the user is fed back to the cloud platform by the authority level adjustment module, and the cloud platform gives corresponding access authority to the personal terminal according to the authority levels.
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;
such as the formula:
collecting multiple groups of sample data and setting a corresponding rating coefficient for each group of sample data by a person skilled in the art; substituting the set rating coefficient and the collected sample data into formulas, forming a linear equation set by any two formulas, screening the calculated coefficients and taking the mean value to obtain 1.2111 and 0.14644 values of V1 and V2 respectively;
the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is facilitated, and the coefficient is determined by the number of sample data and a corresponding humidity coefficient preliminarily set by a person skilled in the art for each group of sample data; as long as the proportional relationship between the parameters and the quantized values is not affected.
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 (7)
1. The scientific and technological policy data information consultation service system based on cloud computing is characterized by comprising a personal terminal, an intelligent identification module, an environment analysis module, a heat calculation module, a distribution storage module, a data acquisition module and a cloud platform;
the data acquisition module is used for acquiring the consultation information of the scientific and technological policy data and sending the consultation information to the cloud platform, and the cloud platform sends the consultation information to the heat calculation module; the system comprises a heat calculation module, a distribution storage module and a heat calculation module, wherein the heat calculation module is used for performing heat calculation on scientific and technological policy data in a cloud platform, integrating each scientific and technological policy data into a data packet, calculating to obtain a heat value of the data packet, the heat calculation module feeds the heat value of the data packet back to the cloud platform, the cloud platform sends the heat value of the data packet to the distribution storage module, and the distribution storage module is used for storing the scientific and technological policy data in a distributed mode;
when a personal terminal consults a science and technology policy, a consultant inputs query keywords through the personal terminal and sends the query keywords to a cloud platform and an intelligent identification module, the intelligent identification module is used for identifying the query keywords input by the consultant and identifying the query keywords to obtain matching keywords, the intelligent identification module sends the matching keywords to the cloud platform, the cloud platform obtains a corresponding data packet according to the matching keywords, and the cloud platform sends the science and technology policy data in the data packet to the corresponding personal terminal;
when scientific and technological policy data information consultation service is carried out, the environment analysis module is used for analyzing the consultation service environment of the system, analyzing and generating a network abnormal signal or generating a network normal signal, and the environment analysis module feeds the network abnormal signal or the network normal signal back to the cloud platform.
2. The cloud-computing-based scientific and technological policy data information consultation service system as claimed in claim 1, wherein the consultation information includes browsing times of the scientific and technological policy data, and duration and downloading times of each browsing.
3. The cloud-computing-based scientific and technological policy data information consultation service system according to claim 1, wherein the heat calculation module specifically performs a calculation process as follows:
step S1: integrating each scientific and technological policy data into a data packet, marking the data packet as u, u being 1, 2, … …, z and z being positive integers after adding identification keywords of the scientific and technological policy data; acquiring the uploading time of the data packet, and subtracting the uploading time from the current time of the system to obtain the storage time length TCu of the data packet;
step S2: acquiring the browsing times of the data packet, and marking the browsing times as LCu;
step S3: acquiring the browsing time length of each browsing of the data packet, and adding and summing the browsing time lengths of each browsing and dividing the sum by the browsing times to obtain the browsing average time TLJu;
step S4: acquiring the downloading times of the data packet, and comparing the downloading times with the browsing times to obtain the downloading rate XZLU of the data packet;
step S5: using formulas
Calculating to obtain a heat value RDu of the data packet; in the formula, a1 and a2 are proportionality coefficients with fixed values, and the values of a1 and a2 are both larger than zero.
4. The cloud-computing-based scientific and technological policy data information consultation service system according to claim 1, wherein the working process of the distributed storage module is as follows:
step SS 1: obtaining a heat value RDu of the data packet and comparing the heat value with a heat threshold, wherein the heat threshold comprises X1 and X2, and X1 is less than X2;
if RDu < X1, defining the data packet as cold data;
if X1 is not less than RDu and is less than X2, defining the data packet as normal data;
if X2 is less than or equal to RDu, defining the data packet as hot data;
step SS 2: the cold data is stored in a first storage space, the normal data is stored in a second storage space, the hot data is stored in a third storage space, and the average value of the first storage space, the second storage space and the third storage space is provided with a picture storage area, an audio storage area and a document storage area;
step SS 3: respectively obtaining picture files, audio files and document files in cold data, conventional data and hot data, and counting the number of the picture files, the number of the audio files, the number of the document files and the total number of the files, wherein the picture occupation ratio, the audio occupation ratio and the document occupation ratio of the cold data, the conventional data and the hot data are obtained after comparing the number of the picture files, the number of the audio files and the total number of the files one by one;
step SS 4: comparing the picture occupation ratio, the audio occupation ratio and the document occupation ratio of the cold data, if the picture occupation ratio is the highest, dividing the cold data into a picture storage area of a first storage space, if the audio occupation ratio is the highest, dividing the cold data into an audio storage area of the first storage space, if the document occupation ratio is the highest, dividing the cold data into the audio storage area of the first storage space, if the audio occupation ratio is the highest, dividing the cold data into the audio storage area of the first storage space;
step SS 5: comparing the picture occupation ratio, the audio occupation ratio and the document occupation ratio of the common data with each other, if the picture occupation ratio is highest, dividing the common data into a picture storage area of a first storage space, if the audio occupation ratio is highest, dividing the common data into an audio storage area of the first storage space, if the document occupation ratio is highest, dividing the common data into the first storage space, and if the audio occupation ratio is highest, dividing the cold data into the audio storage area of the first storage space;
step SS 6: comparing the picture occupation ratio, the audio occupation ratio and the document occupation ratio of the hot data, if the picture occupation ratio is the highest, dividing the hot data into a picture storage area of a first storage space, if the audio occupation ratio is the highest, dividing the hot data into an audio storage area of the first storage space, if the document occupation ratio is the highest, dividing the hot data into the audio storage area of the first storage space, if the audio occupation ratio is the highest, dividing the hot data into the audio storage area of the first storage space.
5. The cloud-computing-based scientific and technological policy data information consultation service system according to claim 1, wherein the identification process of the intelligent identification module is as follows:
the method comprises the following steps: marking the personal terminal as i, i is 1, 2, … …, and x is a positive integer; acquiring query keywords input by a personal terminal, and marking the query keywords as GJi;
step two: acquiring a data packet in the cloud platform, and extracting identification keywords in the data packet to obtain a plurality of identification keywords GJu;
step three: and comparing the query keyword GJi with the recognition keyword GJu, obtaining a matched recognition keyword by adopting a character recognition technology, and recording the recognition keyword as the matched keyword.
6. The cloud-computing-based scientific and technological policy data information consultation service system according to claim 1, wherein the analysis process of the environment analysis module is as follows:
step W1: acquiring a network connected with a scientific and technological policy data information consultation service system, acquiring the terminal connection number of the network in the previous month, and calculating the average value to obtain the terminal daily connection number of the network;
step W2: acquiring a downloading speed average value XZi, an uploading speed average value SCi, a signal intensity average value QDi and a ping average value PDi of a network connection personal terminal;
step W3: acquiring gateway equipment corresponding to a network, centering on the location of the gateway equipment corresponding to the network, and establishing a defined signal area with a preset radius to obtain a plurality of signal sectors, wherein the plurality of signal sectors are expressed by coordinates (o, p);
step W4: acquiring a downloading speed threshold Xop, an uploading speed threshold Sop, a signal strength threshold Qop and a ping threshold Pop of a corresponding signal sector in the cloud platform;
step W5: and calculating to obtain the network fluctuation value GBi of the personal terminal by using a formula, wherein the formula is as follows:
step W6: adding and summing the network fluctuation values of the personal terminals, and dividing the sum by the daily connection number of the terminals to obtain the fluctuation value of the network connected with the science and technology policy data information consultation service system;
step W7: when the fluctuation value of the network is greater than or equal to a set threshold value, generating a network abnormal signal; and when the fluctuation value of the network is smaller than the set threshold value, generating a normal network signal.
7. The cloud-computing-based scientific and technological policy data information consultation service system according to claim 6, wherein the signal sector in the step W3 is formed by:
a circled signal area with a preset radius is established by taking the location of the gateway equipment corresponding to the network as a center, and the signal area is divided into a plurality of signal sectors according to linear intervals and clockwise angles;
a plurality of signal sectors are sequentially divided into o, o is 1, 2, … …, v and v are positive integers according to a clockwise angle sequence;
the signal sectors are further sequentially divided into p according to the distance sequence from near to far, wherein p is 1, 2, … …, n is a positive integer;
the signal sector is represented by the coordinates (o, p).
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114385367A (en) * | 2022-01-14 | 2022-04-22 | 黑龙江省政务大数据中心 | Resource management system based on cloud management platform |
| CN114520059A (en) * | 2022-02-21 | 2022-05-20 | 黑龙江中医药大学 | Traditional Chinese medicine diagnostics data platform based on big data |
| CN115147081A (en) * | 2022-07-12 | 2022-10-04 | 武汉初旦软件技术有限公司 | Policy matching method, system and storage medium based on artificial intelligence |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114385367A (en) * | 2022-01-14 | 2022-04-22 | 黑龙江省政务大数据中心 | Resource management system based on cloud management platform |
| CN114520059A (en) * | 2022-02-21 | 2022-05-20 | 黑龙江中医药大学 | Traditional Chinese medicine diagnostics data platform based on big data |
| CN115147081A (en) * | 2022-07-12 | 2022-10-04 | 武汉初旦软件技术有限公司 | Policy matching method, system and storage medium based on artificial intelligence |
| CN115147081B (en) * | 2022-07-12 | 2023-10-27 | 芜湖中艺科技服务有限公司 | Policy matching method, system and storage medium based on artificial intelligence |
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Application publication date: 20211231 |