An information service platform for small and medium-sized enterprises based on big data

Abstract

The present invention discloses an information service platform for small and medium-sized enterprises based on big data, including: a service center database, an intelligent management and control center for small and medium-sized enterprises, and a service platform terminal; the intelligent management and control center for small and medium-sized enterprises establishes a searchable index for the data in the service center database, and encrypts the index through an encryption algorithm to obtain a key, and generates a double trapdoor of a keyword or fuzzy word waiting to be retrieved through the key, and the service platform terminal uses the double trapdoor of the keyword or fuzzy word as input, queries the corresponding data from the service center database through the execution of the retrieval algorithm, and presents it to the service platform terminal. This ensures that the privacy and confidentiality of the data are not damaged, and ensures that users can efficiently retrieve data when needed.

Description

Technical Field

[0001] The present invention relates to the field of information service platforms, and in particular to an information service platform for small and medium-sized enterprises based on big data. Background Art

[0002] At present, many small and medium-sized enterprises are faced with the problem of solving problems encountered in enterprise management through information service platforms during their development, such as data integration, query business processes, enterprise management, and human resource management; this is a problem that small and medium-sized enterprises cannot avoid during their development.

[0003] As more and more data information is generated, SMEs have more demands for information service platforms. Therefore, an efficient information service platform for SMEs based on big data is very necessary. However, with the increase of data, there are many data involving confidential information of SMEs, and how to efficiently retrieve the data after uploading has also become a problem of great concern. If the encrypted data is downloaded one by one and then completely decrypted and retrieved, it is obviously a time-consuming and laborious task. This will not only greatly waste network bandwidth, but also greatly consume local computing resources and have low efficiency. It is an urgent problem that the current SME information service platform needs to solve, both to ensure that data privacy and confidentiality are not damaged, and to ensure that users can efficiently retrieve data when needed. Summary of the invention

[0004] The present invention provides an information service platform for small and medium-sized enterprises based on big data to solve the problems that many small and medium-sized enterprises currently face in the process of development, such as data integration, query business processes, enterprise management, and human resource management, etc.; these are problems that small and medium-sized enterprises are difficult to avoid in the process of development. However, with the increase of data, there are many data involving confidential information of small and medium-sized enterprises, and how to efficiently retrieve the data after uploading has also become a problem of great concern. If the encrypted data is downloaded one by one and then completely decrypted and retrieved, it is obviously a time-consuming and laborious task, which will not only greatly waste network bandwidth but also greatly consume local computing resources and have low efficiency. It is urgent to solve the above problems in the current information service platform for small and medium-sized enterprises, both to ensure that the privacy and confidentiality of the data are not damaged and to ensure that users can efficiently retrieve the data when needed.

[0005] In order to achieve the above object, the present invention provides the following technical solutions:

[0006] The present invention provides an information service platform for small and medium-sized enterprises based on big data, comprising: a service center database, an intelligent management and control center for small and medium-sized enterprises and a service platform terminal; the intelligent management and control center for small and medium-sized enterprises establishes a searchable index for the data in the service center database, and encrypts the index through an encryption algorithm to obtain a key, and generates a double trapdoor of a keyword or fuzzy word waiting to be retrieved through the key; the service platform terminal uses the double trapdoor of the keyword or fuzzy word as input, queries the corresponding data from the service center database by executing the retrieval algorithm and presents it to the service platform terminal.

[0007] Among them, it also includes: a data information collection device, the data information collection device includes an information collection module and an information classification module, the information collection module is used to collect enterprise information data and industrial and commercial information data; the information classification module is used to collect data and classify it into policy categories, enterprise and project categories, service resource categories and innovative intelligence categories through intelligent analysis to form classified data, and the information classification module transmits the classified data to the service center database.

[0008] Among them, the service center database includes a policy library, an enterprise and project library, a service resource library, an innovative smart label library and an index storage module; the service center database stores the classified data in the policy library, the enterprise and project library, the service resource library and the innovative smart label library according to the classification type; the classified stored data is screened according to the information value, and the screened data is indexed according to keywords or fuzzy words to create a searchable index and stored in the index storage module.

[0009] Among them, the intelligent management and control center for small and medium-sized enterprises includes: a data processing module; the data processing module takes the initial data in the index storage module as input, extracts corresponding keywords through a word segmentation algorithm, constructs the corresponding keywords into a keyword set, and the user searches through multiple keywords; constructs a corresponding fuzzy word for each keyword and forms a fuzzy word set, forming a fuzzy word search, and the user searches through the fuzzy words.

[0010] Among them, the service platform terminal includes an identity authentication module and a data retrieval module. The user confirms the user ID through the identity authentication module for identity authentication. If the identity authentication is passed, the search keyword or fuzzy word is input, and a double trapdoor is generated through multi-keyword retrieval and fuzzy retrieval. The data file obtained through the retrieval is presented to the service platform terminal for the user to view. During the retrieval process, a corresponding code value is generated for each keyword or fuzzy word, and multiple keywords are uniformly merged into a matrix. Random numbers are added to the matrix during the dimensionality increase encryption process.

[0011] Among them, the intelligent management and control center for small and medium-sized enterprises also includes: a policy management module, an event management module and a security detection module; the policy management module is used to guide the risk events that have been determined according to the data in the service center database, and respond to the determined risk events according to a preset processing method; the event management module is used to perform event risk assessment based on the data in the service center database, and respond to the determined risk events according to the instructions of the policy management module; the security detection module is used to detect the information of the service platform terminal, process the detected abnormal data, and maintain the operating status of the service platform terminal.

[0012] Among them, the intelligent management and control center for small and medium-sized enterprises also includes a data verification module, which verifies the business conditions of the enterprise through the data in the service center database, and verifies the objective accuracy of the enterprise's financial statements through data such as tax payment, invoicing and cash flow; verifies potential risks and prevents potential risks through judicial, customs, administrative penalties and industry license data; and rates and scores small and medium-sized enterprises through the data verification module and formulates optimization plans for small and medium-sized enterprises.

[0013] Among them, when the data retrieval module retrieves the data in the service center database, it is the data receiving party R, and the data in the corresponding index storage module is retrieved, which is the data sending party S. The RSA algorithm is used to generate a key pair, namely a public key and a private key. The data receiving party R gives the corresponding public key to the data sending party S and keeps the private key. When the corresponding data sending party S is retrieved, the data sending party S transmits data, first encrypts the data with the public key, and then sends it to the data receiving party R in ciphertext form. After receiving the ciphertext data, the data receiving party R uses the private key to decrypt it to obtain the plaintext data.

[0014] Wherein, the data processing module includes a data temporary storage module, which converts the data processing process in the service center database into the intermediate result data for direct reading; the data processing module divides the algorithm data processing into original data, intermediate result data, final result data and derived result data; the original data is the data collected by the data information collection device, the intermediate result data is obtained by processing the original data or by reprocessing the intermediate result data, the final result data is the data that has reached a certain processing purpose, and the derived result data is the data that cannot be reprocessed;

[0015] After the data is processed by a certain algorithm, the intelligent management and control center of small and medium-sized enterprises will save the processing results. The saved data types are divided into: intermediate result data, final result data and derived result data; when the saving type is selected as intermediate result data or final result data, the system will generate a data text file and update the database record at the same time; when the derived result data is selected to be saved, a pop-up data graphic and export dialog box will be displayed on the service platform terminal, and the corresponding graphic will be saved as a picture file when the user views the data.

[0016] Among them, the intelligent management and control center for small and medium-sized enterprises also includes an analysis and scheduling data module, through which the data collected by the data information collection device is collected in real time to the service center database, and then uploaded to the folder planned by the data retrieval module in the service center database; the scheduling engine executes scheduled tasks, schedules various frameworks, and selects various algorithms and submits them to the cluster; the cluster pulls data from the analysis and scheduling data module, pre-processes the data and feeds the results back to the scheduling engine; if there is no abnormality in the processing process, the analysis results are stored in the data retrieval module; the scheduling engine schedules various data analysis algorithms in turn and stores the analysis results in the corresponding data retrieval module; finally, the analysis results will be displayed on the service platform terminal, and the staff can view the operation status of each analysis stage through the service platform terminal.

[0017] Compared with the prior art, the present invention has the following advantages:

[0018] The present invention provides an information service platform for small and medium-sized enterprises based on big data, comprising: a service center database, an intelligent management and control center for small and medium-sized enterprises and a service platform terminal; the intelligent management and control center for small and medium-sized enterprises establishes a searchable index for the data in the service center database, and encrypts the index through an encryption algorithm to obtain a key, thereby ensuring the security of the data, and generates a double trapdoor of a keyword or fuzzy word waiting to be retrieved through the key, and the service platform terminal uses the double trapdoor of the keyword or fuzzy word as input, queries the corresponding data from the service center database by executing a retrieval algorithm and presents it to the service platform terminal, thereby avoiding the defect of searching one by one during the retrieval process, greatly improving the retrieval efficiency, and also improving the fault tolerance rate during the retrieval process.

[0019] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0020] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0022] Figure 1 A framework diagram of an information service platform for small and medium-sized enterprises based on big data in an embodiment of the present invention;

[0023] Figure 2 A framework diagram of a service center database in an embodiment of the present invention;

[0024] Figure 3 This is a flow chart of the processing of data in the service center database by the intelligent management and control center of small and medium-sized enterprises in an embodiment of the present invention. DETAILED DESCRIPTION

[0025] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0026] The embodiment of the present invention provides an information service platform for small and medium-sized enterprises based on big data. Figures 1 to 3 The information service platform for small and medium-sized enterprises includes: a service center database, an intelligent management and control center for small and medium-sized enterprises, and a service platform terminal; the intelligent management and control center for small and medium-sized enterprises establishes a searchable index for the data in the service center database, and encrypts the index through an encryption algorithm to obtain a key, and generates a double trapdoor of keywords or fuzzy words waiting to be retrieved through the key. The service platform terminal uses the double trapdoor of keywords or fuzzy words as input, queries the corresponding data from the service center database by executing the retrieval algorithm, and presents it to the service platform terminal.

[0027] The working principle of the above technical solution is: the intelligent management and control center of small and medium-sized enterprises establishes a searchable index through the data in the service center database. In order to ensure the availability and privacy of the data, the index is encrypted through an encryption algorithm to obtain a key, and the key is used to generate a double trapdoor of keywords or fuzzy words waiting to be retrieved. The service platform terminal uses the double trapdoor of keywords or fuzzy words as input, and the authorized staff queries the corresponding data from the service center database by executing the retrieval algorithm and presents it to the service platform terminal. The service platform terminal cannot obtain any data except the data obtained through keywords or fuzzy words.

[0028] The beneficial effects of the above technical solution are: the intelligent management and control center of small and medium-sized enterprises establishes a searchable index for the data in the service center database, and encrypts the index through an encryption algorithm to obtain a key, thereby ensuring the security of the data, and generates a double trapdoor of keywords or fuzzy words waiting to be retrieved through the key. The service platform terminal uses the double trapdoor of keywords or fuzzy words as input, queries the corresponding data from the service center database by executing the retrieval algorithm and presents it to the service platform terminal, avoiding the defects of searching one by one during the retrieval process, greatly improving the retrieval efficiency, and also improving the fault tolerance rate during the retrieval process.

[0029] In another embodiment, the information service platform for small and medium-sized enterprises also includes: a data information collection device, the data information collection device includes an information collection module and an information classification module, the information collection module is used to collect enterprise information data and industrial and commercial information data; the information classification module is used to collect data and classify it into policy categories, enterprise and project categories, service resource categories and innovative intelligent categories through intelligent analysis to form classified data, and the information classification module transmits the classified data to the service center database.

[0030] The working principle of the above technical solution is: the data information collection device includes an information collection module and an information classification module, the information collection module is used to collect enterprise information data and industrial and commercial information data; the information classification module is used to collect data and classify it into policy categories, enterprise and project categories, service resource categories and innovative intelligent categories through intelligent analysis to form classified data, and the information classification module transmits the classified data to the service center database. By classifying multi-party data, it is convenient to conduct a more specific analysis of the needs of the small and medium-sized enterprise information service platform.

[0031] The beneficial effects of the above technical solution are as follows: the data information collection device includes an information collection module and an information classification module, the information collection module is used to collect enterprise information data and industrial and commercial information data; the information classification module is used to collect data and classify it into policy, enterprise and project, service resource and innovative intelligent categories through intelligent analysis to form classified data, and the information classification module transmits the classified data to the service center database. By classifying multiple data, it is convenient to conduct a more specific analysis of the needs of the SME information service platform. Through the above series of big data applications, it is possible to objectively, truly and timely reflect the operation and risk situation of SMEs, and to conduct rating and scoring, and formulate a planning route for the development of SMEs.

[0032] In another embodiment, the service center database includes a policy library, an enterprise and project library, a service resource library, an innovative smart label library and an index storage module; the service center database stores the classified data in the policy library, the enterprise and project library, the service resource library and the innovative smart label library according to the classification type; the classified stored data is screened according to the information value, and the screened data is indexed to create a searchable index based on keywords or fuzzy words and stored in the index storage module.

[0033] The working principle of the above technical solution is as follows: the service center database includes a policy library, an enterprise and project library, a service resource library, an innovative intelligent label library and an index storage module; the service center database stores the classified data in the policy library, the enterprise and project library, the service resource library and the innovative intelligent label library according to the classification type; the classified stored data is screened according to the information value, and the screened data is indexed according to keywords or fuzzy words to create a searchable index and stored in the index storage module. Through the mutual backup of multiple databases and distributed storage, the data security verification mechanism is strengthened, thereby ensuring data security.

[0034] Among them, several data packets are formed in the service center database. When the data packet transmission path is not fixed, it is possible that the data packets sent later arrive at the sink node earlier, and the data packets sent earlier arrive at the sink node later. Therefore, after the sink node receives a new data packet, it needs to recalculate the information age according to the definition of information age instead of directly updating it to the age of the newly received data packet. This condition is expressed in mathematical language as follows:

[0035]

[0036] represents the information age of source node a at the sink node in time slot t+1; represents the information age of source node a at the sink node in time slot t; Indicates whether node n forwards the kth data packet generated by node a to node p in time slot t; δ ak represents the time when a collects the kth data packet; R p Represents the set of neighbor nodes of node p.

[0037] The beneficial effects of the above technical solution are as follows: the service center database includes a policy library, an enterprise and project library, a service resource library, an innovative intelligent label library and an index storage module; the service center database stores the classified data in the policy library, the enterprise and project library, the service resource library and the innovative intelligent label library according to the classification type; the classified stored data is screened according to the information value, and the screened data is indexed according to keywords or fuzzy words to create a searchable index and stored in the index storage module. Through the mutual backup of multiple databases, distributed storage, and strengthening of data security verification mechanism, the problem of information asymmetry of small and medium-sized enterprises is solved, thereby ensuring data security.

[0038] In another embodiment, please refer to Figure 3 The intelligent management and control center for small and medium-sized enterprises includes: a data processing module; the data processing module uses the initial data in the index storage module as input, extracts corresponding keywords through a word segmentation algorithm, constructs the corresponding keywords into a keyword set, and the user searches through multiple keywords; constructs a corresponding fuzzy word for each keyword and forms a fuzzy word set, forming a fuzzy word search, and the user searches through the fuzzy words.

[0039] The working principle of the above technical solution is: the data processing module takes the initial data in the index storage module as input, extracts the corresponding keywords through the word segmentation algorithm, constructs the corresponding keywords into a keyword set, and the user searches through multiple keywords; constructs a corresponding fuzzy word for each keyword and forms a fuzzy word set, forming a fuzzy word search, and the user searches through the fuzzy words, which improves the fault tolerance rate of the search and ensures the high efficiency of the search.

[0040] The beneficial effects of the above technical solution are as follows: the data processing module uses the initial data as input for the data in the index storage module, extracts the corresponding keywords through a word segmentation algorithm, constructs the corresponding keywords into a keyword set, and the user searches through multiple keywords; constructs a corresponding fuzzy word for each keyword and forms a fuzzy word set, forming a fuzzy word search, and the user searches through the fuzzy words, thereby improving the fault tolerance rate of the search and ensuring the security and effectiveness of the search.

[0041] In another embodiment, the service platform terminal includes an identity authentication module and a data retrieval module. The user confirms the user ID through the identity authentication module for identity authentication. If the identity authentication is passed, the search keyword or fuzzy word is entered, and a double trapdoor is generated through multi-keyword retrieval and fuzzy retrieval. The data file obtained through the retrieval is presented to the service platform terminal for the user to view. During the retrieval process, a corresponding code value is generated for each keyword or fuzzy word, and multiple keywords are unified and merged into a matrix. Random numbers are added to the matrix during the encryption process of increasing the dimension.

[0042] The working principle of the above technical solution is as follows: the service platform terminal includes an identity authentication module and a data retrieval module. The user confirms the user ID through the identity authentication module for identity authentication. If the identity authentication is passed, the search keyword or fuzzy word is input, and a double trapdoor is generated through multi-keyword retrieval and fuzzy retrieval. The data file obtained through the retrieval is presented to the service platform terminal for the user to view. During the retrieval process, a corresponding code value is generated for each keyword or fuzzy word, and multiple keywords are unified and merged into a matrix. Random numbers are added to the matrix during the process of increasing the dimensionality and encryption, so that the efficiency of the retrieval is greatly improved. When an attacker obtains a keyword, he cannot know the specific meaning of the keyword, thereby ensuring the security of the data.

[0043] The beneficial effects of the above technical solution are as follows: the service platform terminal includes an identity authentication module and a data retrieval module, and the user confirms the user ID through the identity authentication module for identity authentication. If the identity authentication is passed, the search keyword or fuzzy word is input, and a double trapdoor is generated through multi-keyword retrieval and fuzzy retrieval. The data file obtained through the retrieval is presented to the service platform terminal for the user to view; wherein a corresponding code value is generated for each keyword or fuzzy word during the retrieval process, and multiple keywords are uniformly merged into a matrix, and random numbers are added to the matrix during the encryption process of increasing the dimension; when an attacker obtains a keyword, he cannot know the specific meaning of the keyword, thereby ensuring the security of the data.

[0044] In another embodiment, the intelligent management and control center for small and medium-sized enterprises also includes: a policy management module, an event management module and a security detection module; the policy management module is used to guide the risk events that have been determined based on the data in the service center database, and respond to the determined risk events according to a preset processing method; the event management module is used to perform event risk assessment based on the data in the service center database, and respond to the determined risk events according to the instructions of the policy management module; the security detection module is used to detect the information of the service platform terminal, process the detected abnormal data, and maintain the operating status of the service platform terminal.

[0045] The working principle of the above technical solution is: the policy management module is used to guide the risk events that have been determined according to the data in the service center database, and respond to the determined risk events according to the preset processing method; the event management module is used to perform event risk assessment based on the data in the service center database, and respond to the determined risk events according to the instructions of the policy management module, thereby reducing the risks of small and medium-sized enterprises; the security detection module is used to detect the information of the service platform terminal, process the detected abnormal data, and maintain the operating status of the service platform terminal.

[0046] The beneficial effects of the above technical solution are: the policy management module is used to guide the risk events that have been determined according to the data in the service center database, and respond to the determined risk events according to the preset processing method; the event management module is used to perform event risk assessment based on the data in the service center database, and respond to the determined risk events according to the instructions of the policy management module, thereby reducing the risks of small and medium-sized enterprises; the security detection module is used to detect the information of the service platform terminal, process the detected abnormal data, maintain the operating status of the service platform terminal, and ensure the normal operation of the service platform.

[0047] In another embodiment, the intelligent management and control center for small and medium-sized enterprises also includes a data verification module, which verifies the business conditions of the enterprise through the data in the service center database, verifies the objective accuracy of the enterprise's financial statements through data such as tax payment, invoicing data, and cash flow; verifies potential risks and prevents potential risks through judicial, customs, administrative penalties, and industry license data; and rates and scores small and medium-sized enterprises through the data verification module and formulates optimization plans for small and medium-sized enterprises.

[0048] The working principle of the above technical solution is: to verify the business conditions of the enterprise indirectly through the data in the service center database, and to verify the objective accuracy of the enterprise's financial statements through data such as tax payment, invoicing and cash flow; to verify potential risks and prevent potential risks through data such as judicial, customs, administrative penalties and industry licenses; to rate and score small and medium-sized enterprises through the data verification module and formulate optimization plans for small and medium-sized enterprises, which is of positive significance for understanding the business conditions of small and medium-sized enterprises.

[0049] The beneficial effects of the above technical solution are: the intelligent management and control center for small and medium-sized enterprises also includes a data verification module, which verifies the business conditions of the enterprise through the data in the service center database, and verifies the objective accuracy of the enterprise's financial statements through data such as tax payment, invoicing data and cash flow; verifies potential risks and prevents potential risks through judicial, customs, administrative penalties and industry license data; and rates and scores small and medium-sized enterprises through the data verification module and formulates optimization plans for small and medium-sized enterprises, which is of positive significance for understanding the business conditions of small and medium-sized enterprises.

[0050] In another embodiment, when the data retrieval module retrieves the data in the service center database, it is the data receiving party R, and the data in the corresponding index storage module is retrieved, it is the data sending party S. The RSA algorithm is used to generate a key pair, namely a public key and a private key. The data receiving party R gives the corresponding public key to the data sending party S and keeps the private key. When the corresponding data sending party S is retrieved, the data sending party S performs data transmission, first encrypts the data using the public key, and then sends it to the data receiving party R in ciphertext form. After receiving the ciphertext data, the data receiving party R uses the private key to decrypt it to obtain the plaintext data.

[0051] The working principle of the above technical solution is: when the data retrieval module retrieves the data in the service center database, it is the data receiving party R, and the data in the corresponding index storage module is retrieved, it is the data sending party S. The RSA algorithm is used to generate a pair of key pairs, namely a public key and a private key. The data receiving party R gives the corresponding public key to the data sending party S, and the private key is retained by itself; when the corresponding data sending party S is retrieved, the data sending party S transmits data, first encrypts the data with the public key, and then sends it to the data receiving party R in ciphertext form. After receiving the ciphertext data, the data receiving party R uses the private key to decrypt it to obtain the plaintext data; the encryption time is shortened by asymmetric encryption, thereby ensuring the security of the data.

[0052] The beneficial effects of the above technical solution are: when the data retrieval module retrieves the data in the service center database, it is the data receiving party R, and the data in the corresponding index storage module is retrieved, it is the data sending party S, and a pair of key pairs, namely a public key and a private key, are generated using the RSA algorithm. The data receiving party R gives the corresponding public key to the data sending party S, and the data sending party S keeps the private key; when the corresponding data sending party S is retrieved, the data sending party S performs data transmission, first encrypts the data using the public key, and then sends it to the data receiving party R in ciphertext form. After receiving the ciphertext data, the data receiving party R uses the private key to decrypt it to obtain the plaintext data; through the asymmetric encryption method, the encryption time is shortened to ensure the security of the data.

[0053] In another embodiment, the data processing module includes a data temporary storage module, which converts the data processing process in the service center database into direct reading of intermediate result data; the data processing module divides the algorithm data processing into original data, intermediate result data, final result data and derived result data; the original data is the data collected by the data information collection device, the intermediate result data is obtained by processing the original data or by reprocessing the intermediate result data, the final result data is the data that has reached a certain processing purpose, and the derived result data is the data that cannot be reprocessed;

[0054] After the data is processed by a certain algorithm, the intelligent management and control center of small and medium-sized enterprises will save the processing results. The saved data types are divided into: intermediate result data, final result data and derived result data; when the saving type is selected as intermediate result data or final result data, the system will generate a data text file and update the database record at the same time; when the derived result data is selected to be saved, a pop-up data graphic and export dialog box will be displayed on the service platform terminal, and the corresponding graphic will be saved as a picture file when the user views the data.

[0055] The working principle of the above technical solution is as follows: the data processing module includes a data temporary storage module, which converts the data processing process in the service center database into intermediate result data for direct reading; the data processing module divides the algorithm data processing into original data, intermediate result data, final result data and derived result data; the original data is the data collected by the data information collection device, the intermediate result data is obtained by processing the original data or by reprocessing the intermediate result data, the final result data is the data that has reached a certain processing purpose, and the derived result data is the data that cannot be reprocessed;

[0056] After the data is processed by a certain algorithm, the intelligent management and control center of small and medium-sized enterprises will save the processing results. The saved data are divided into: intermediate result data, final result data and derived result data; when the saving type is selected as intermediate result data or final result data, the system will generate a data text file and update the database record at the same time; when the derived result data is selected for saving, a pop-up data graphic and export dialog box will be displayed on the service platform terminal, and the corresponding graphic will be saved as a picture file when the user views the data; thereby improving the efficiency of processing massive data in the service center database and reducing repeated data processing processes by optimizing the data processing flow.

[0057] The beneficial effects of the above technical solution are as follows: the data processing module includes a data temporary storage module, which converts the data processing process in the service center database into direct reading of intermediate result data; the data processing module divides the algorithm data processing into original data, intermediate result data, final result data and derived result data; the original data is the data collected by the data information collection device, the intermediate result data is obtained by processing the original data or by reprocessing the intermediate result data, the final result data is the data that has reached a certain processing purpose, and the derived result data is the data that cannot be reprocessed;

[0058] After the data is processed by a certain algorithm, the intelligent management and control center of small and medium-sized enterprises will save the processing results. The data saving types are divided into: intermediate result data, final result data and derived result data; when the saving type is selected as intermediate result data or final result data, the system will generate a data text file and update the database record at the same time; when the derived result data is selected for saving, a pop-up data graphic and export dialog box will be displayed on the service platform terminal, and the corresponding graphic will be saved as a picture file when the user views the data. This improves the efficiency of processing massive data in the service center database and reduces repeated data processing processes by optimizing the data processing process.

[0059] In another embodiment, the intelligent management and control center for small and medium-sized enterprises also includes an analysis and scheduling data module, through which the data collected by the data information collection device is collected in real time to the service center database, and then uploaded to the folder planned by the data retrieval module in the service center database; the scheduling engine executes scheduled tasks, schedules various frameworks, and selects various algorithms and submits them to the cluster; the cluster pulls data from the analysis and scheduling data module, pre-processes the data and feeds the results back to the scheduling engine; if there is no abnormality in the processing process, the analysis results are stored in the data retrieval module; the scheduling engine schedules various data analysis algorithms in turn and stores the analysis results in the corresponding data retrieval module; finally, the analysis results will be displayed on the service platform terminal, and the staff can view the operation status of each analysis stage through the service platform terminal.

[0060] The working principle of the above technical solution is as follows: the intelligent management and control center for small and medium-sized enterprises also includes an analysis and scheduling data module, through which the data collected by the data information collection device is collected in real time to the service center database, and then uploaded to the folder planned by the data retrieval module in the service center database; the scheduling engine executes scheduled tasks, schedules various frameworks, and selects various algorithms and submits them to the cluster; the cluster pulls data from the analysis and scheduling data module, pre-processes the data and feeds the results back to the scheduling engine; if there is no abnormality in the processing process, the analysis results are stored in the data retrieval module; the scheduling engine schedules various data analysis algorithms in turn and stores the analysis results in the corresponding data retrieval module; finally, the analysis results will be displayed on the service platform terminal, and the staff can view the operation status of each analysis stage through the service platform terminal, thereby improving the efficiency of data analysis and ensuring that the staff can view it at any time.

[0061] The beneficial effects of the above technical solution are as follows: the intelligent management and control center for small and medium-sized enterprises also includes an analysis and scheduling data module, through which the data collected by the data information collection device is collected in real time to the service center database, and then uploaded to the folder planned by the data retrieval module in the service center database; the scheduling engine executes scheduled tasks, schedules various frameworks, and selects various algorithms and submits them to the cluster; the cluster pulls data from the analysis and scheduling data module, pre-processes the data and feeds the results back to the scheduling engine; if there is no abnormality in the processing process, the analysis results are stored in the data retrieval module; the scheduling engine schedules various data analysis algorithms in turn and stores the analysis results in the corresponding data retrieval module; finally, the analysis results will be displayed on the service platform terminal, and the staff can view the operation status of each analysis stage through the service platform terminal, thereby improving the efficiency of data analysis.

[0062] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An information service platform for small and medium-sized enterprises based on big data, It is characterized in that include: Service center database, intelligent management and control center for small and medium-sized enterprises, and service platform terminals; The intelligent management and control center of small and medium-sized enterprises establishes a searchable index for the data in the database of the service center, and encrypts the index through an encryption algorithm to obtain a key, and generates a double trapdoor of keywords or fuzzy words to be retrieved through the key. The service platform terminal uses the double trapdoor of keywords or fuzzy words as input, queries the corresponding data from the database of the service center by executing the retrieval algorithm, and presents it to the service platform terminal; It also includes: a data information collection device, the data information collection device includes an information collection module and an information classification module, the information collection module is used to collect enterprise information data and industrial and commercial information data; the information classification module is used to collect data and classify it into policy categories, enterprise and project categories, service resource categories and innovative intelligence categories through intelligent analysis to form classified data, and the information classification module transmits the classified data to the service center database; The service center database includes a policy library, an enterprise and project library, a service resource library, an innovative intelligent label library and an index storage module; the service center database stores the classified data in the policy library, the enterprise and project library, the service resource library and the innovative intelligent label library according to the classification type; the classified stored data is screened according to the information value, and the screened data is indexed according to keywords or fuzzy words to create a searchable index and stored in the index storage module; Among them, several data packets are formed in the service center database. When the data packet transmission path is not fixed, it may happen that the data packet sent later arrives at the sink node earlier, and the data packet sent earlier arrives at the sink node later; therefore, after the sink node receives a new data packet, it needs to recalculate the information age according to the definition of information age instead of directly updating it to the age of the newly received data packet. This condition is expressed in mathematical language as follows: represents the information age of source node a at the sink node in time slot t+1; represents the information age of source node a at the sink node in time slot t; Indicates whether node n forwards the kth data packet generated by node a to node p in time slot t; δ ak represents the time when a collects the kth data packet; R p Represents the set of neighbor nodes of node p; The intelligent management and control center for small and medium-sized enterprises also includes: a policy management module, an event management module and a security detection module; the policy management module is used to guide the risk events that have been determined according to the data in the service center database, and respond to the determined risk events according to the preset processing method; the event management module is used to perform event risk assessment according to the data in the service center database, and respond to the determined risk events according to the instructions of the policy management module; the security detection module is used to detect the information of the service platform terminal, process the detected abnormal data, and maintain the operating status of the service platform terminal; The service platform terminal includes an identity authentication module and a data retrieval module. The user confirms the user ID through the identity authentication module for identity authentication. If the identity authentication is passed, the search keyword or fuzzy word is input, and a double trapdoor is generated through multi-keyword search and fuzzy search. The data file obtained through the search is presented to the service platform terminal for the user to view. In the search process, a corresponding code value is generated for each keyword or fuzzy word, and multiple keywords are uniformly merged into a matrix. Random numbers are added to the matrix during the encryption process of increasing the dimensionality.

2. According to the information service platform for small and medium-sized enterprises based on big data as described in claim 1, It is characterized in that The intelligent management and control center for small and medium-sized enterprises includes: a data processing module; the data processing module uses the initial data in the index storage module as input, extracts corresponding keywords through a word segmentation algorithm, constructs the corresponding keywords into a keyword set, and the user searches through multiple keywords; constructs a corresponding fuzzy word for each keyword and forms a fuzzy word set, forming a fuzzy word search, and the user searches through the fuzzy words.

3. According to the information service platform for small and medium-sized enterprises based on big data as described in claim 1, It is characterized in that The intelligent management and control center for small and medium-sized enterprises also includes a data verification module, which verifies the business conditions of the enterprise through the data in the service center database, verifies the objective accuracy of the enterprise's financial statements through data such as tax payment, invoicing, and cash flow; verifies potential risks and prevents potential risks through judicial, customs, administrative penalties, and industry license data; and rates and scores small and medium-sized enterprises through the data verification module and formulates optimization plans for small and medium-sized enterprises.

4. According to the information service platform for small and medium-sized enterprises based on big data as claimed in claim 1, It is characterized in that When the data retrieval module retrieves the data in the service center database, it is the data receiving party R, and the data in the corresponding index storage module is retrieved, which is the data sending party S. The RSA algorithm is used to generate a key pair, namely a public key and a private key. The data receiving party R gives the corresponding public key to the data sending party S and keeps the private key for itself. When the corresponding data sending party S is retrieved, the data sending party S transmits the data, first encrypts the data with the public key, and then sends it to the data receiving party R in ciphertext form. After receiving the ciphertext data, the data receiving party R uses the private key to decrypt it to obtain the plaintext data.

5. According to the information service platform for small and medium-sized enterprises based on big data as claimed in claim 2, It is characterized in that The data processing module includes a data temporary storage module, which converts the data processing process in the service center database into intermediate result data for direct reading; the data processing module divides the algorithm data processing into original data, intermediate result data, final result data and derived result data; The original data is the data collected by the data information collection device, the intermediate result data is obtained by processing the original data or by reprocessing the intermediate result data, the final result data is the data that has reached a certain processing purpose, and the derived result data is the data that cannot be reprocessed; After the data is processed by a certain algorithm, the intelligent management and control center of small and medium-sized enterprises will save the processing results. The saved data types are divided into: intermediate result data, final result data and derived result data; when the saving type is selected as intermediate result data or final result data, the system will generate a data text file and update the database record at the same time; when the derived result data is selected to be saved, a pop-up data graphic and export dialog box will be displayed on the service platform terminal, and the corresponding graphic will be saved as a picture file when the user views the data.

6. According to the information service platform for small and medium-sized enterprises based on big data as claimed in claim 1, It is characterized in that The intelligent management and control center for small and medium-sized enterprises also includes an analysis and scheduling data module, through which the data collected by the data information collection device is collected in real time to the service center database, and then uploaded to the folder planned by the data retrieval module in the service center database; The scheduling engine executes scheduled tasks, schedules various frameworks, and selects various algorithms to submit to the cluster; The cluster pulls data from the analysis and scheduling data module, pre-processes the data and feeds the results back to the scheduling engine; If there is no abnormality in the processing, the analysis result is stored in the data retrieval module; The scheduling engine sequentially schedules various data analysis algorithms and stores the analysis results in the corresponding data retrieval module; The final analysis results will be displayed on the service platform terminal, and the staff can view the operation status of each analysis stage through the service platform terminal.

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