Cheap risk supervision and control system based on big data

Abstract

The invention discloses an incorruption risk supervision and control system based on big data, which belongs to the technical field of big data application, comprises a data acquisition system and a big database, and is characterized by further comprising a data processing system and an auditing system, the data acquisition system is electrically connected with the data processing system, the data processing system is electrically connected with the auditing system, and the auditing system is electrically connected with the big database. The auditing system comprises a similarity judgment module, a big database access terminal, an information data calling module, an offline checking module and a publicity module which are electrically connected, the similarity judgment module is used for judging similarity, and the big database access terminal is used for data intercommunication between the auditing system and a big database. The information data calling module is used for calling data in a big database, the offline checking module is used for offline checking of complaint information, and the publicity module is used for publicizing a checking result. According to the method, the operation efficiency of the system can be improved, the auditing accuracy can be effectively improved, and the method has good applicability.

Description

Technical Field

[0001] The present invention relates to the field of big data application technology, and in particular to an integrity risk supervision and control system based on big data. Background Art

[0002] At present, the management and control of corruption risks mostly relies on the complaint information from the masses. However, there is no good way to organize and manage the complaint information from the masses, which leads to the inability to effectively utilize the complaint information from the masses.

[0003] A Chinese patent document with publication number CN107368951A and publication date November 21, 2017 discloses a quality control integrity risk early warning system for technical transformation and overhaul of power grid enterprises, which is characterized by comprising: a data acquisition module that receives production technology transformation, overhaul project data, and power grid enterprise equipment operating condition data, a data storage device that stores information from the data acquisition module, a remote early warning center that receives data from the data storage device and issues risk prompts and risk warnings through big data analysis, a communication module that connects to the data storage device and transmits information to the remote early warning center, and pushes the risk prompts and warnings generated by the remote early warning center to the portal to-do list of key personnel.

[0004] The patent document discloses a corruption risk early warning system for quality control of technical transformation and overhaul of power grid enterprises. Through data collection and big data analysis, it dynamically evaluates risks in real time and embeds risk early warning prompts into the project process. For behaviors that trigger corruption risk early warnings during the implementation of production technology transformation or overhaul, early warning prompts are automatically sent to professional departments and supervisory departments in both directions, so as to achieve joint prevention and control between professional departments and supervisory departments, realize full process control, and improve the quality of production technology transformation or overhaul. However, data collection is relatively single, which affects the accuracy of the audit and has poor applicability. Summary of the invention

[0005] In order to overcome the defects of the above-mentioned prior art, the present invention provides an integrity risk supervision and control system based on big data. The present invention organically combines the offline and online complaint information collection channels, automatically processes the data through the data processing system, and then audits it through the audit system. This can not only improve the operating efficiency of the system, but also effectively improve the audit accuracy and has good applicability.

[0006] The present invention is achieved through the following technical solutions: A corruption risk supervision and control system based on big data, including a data collection system and a big database, characterized in that: it also includes a data processing system and an audit system, the data collection system is electrically connected to the data processing system, the data processing system is electrically connected to the audit system, the data collection system is used for collecting big data, the data processing system is used for processing the collected data, the audit system is used for offline auditing the processed data, the big database is used to store basic information of staff and departments, the data collection system includes an offline collection system and an online collection system, the offline collection system is used for offline collection of complaint information, and the online collection system is used for online collection of complaint information; the data processing system includes an electrically connected A data classification module, a keyword search module, a similarity matching module and a data upload module. The data classification module is used to classify the data uploaded by the data collection system. The keyword search module is used to search for keywords in the complaint information. The similarity matching module is used to match data similarity. The audit system includes an electrically connected similarity determination module, a big database access terminal, an information data retrieval module, an offline verification module and a public display module. The similarity determination module is used for similarity determination. The big database access terminal is used for data exchange between the audit system and the big database. The information data retrieval module is used for retrieving data from the big database. The offline verification module is used for offline verification of complaint information. The public display module is used to publicize the verification results.

[0007] The offline acquisition system includes an electrically connected data acquisition camera, an image filtering module, a picture-text conversion module and a data upload module. The data acquisition camera is used for shooting and collecting offline data, the image filtering module is used for filtering images, the picture-text conversion module is used for text conversion of image data, and the data upload module is used for uploading the converted text data.

[0008] The online data collection system includes an electrically connected voice input system and an Internet data collection system.

[0009] The voice entry system includes a message landline group, a voice entry module, a voice recognition module and a data upload module. The message landline group is used for leaving voice messages of complaint information, the voice entry module is used for recording message voices, the voice recognition module is used for converting voice recognition into text data, and the data upload module is used for uploading data.

[0010] The Internet data collection system includes a complaint mailbox and a complaint message website. The complaint mailbox is used to receive complaint emails, and the complaint message website is used to leave online messages on complaint information.

[0011] The Internet data collection system also includes a screenshot recording module, an image filtering module, a picture-text conversion module and a data upload module. The screenshot recording module is used for screenshot recording of complaint mailboxes and complaint message websites.

[0012] Preferably, the collection process of the offline collection system is as follows: open the complaint mailbox, take out the letter paper, take a picture of the information on the letter paper using a data collection camera, perform high-definition filtering on the captured image data through an image filtering module, convert the filtered image data into text data using a picture-to-text conversion module, and then upload the text data to the data processing system through a data upload module.

[0013] Preferably, the collection process of the online collection system specifically includes the collection of voice data and the collection of Internet data; the collection of voice data refers to the public leaving complaint voice messages through the landline message group, the complaint voice messages are automatically recorded by the voice recording module, the voice recognition module recognizes the voice and text, the voice information is converted into text data, and the text data after voice conversion is uploaded to the data processing system; the collection of Internet data refers to the administrator opening the complaint mailbox and the complaint message website, using the screenshot recording module to take screenshots of the email content in the complaint mailbox and the message content on the complaint message website, saving them in picture format, filtering the pictures through the image filtering module, and finally converting the picture data into text data through the image-to-text conversion module and uploading it to the data processing system.

[0014] Preferably, the processing process of the data processing system is specifically as follows: the data collected from the data acquisition system is classified through a data classification module, the classification standard is the size of the data file, the keyword retrieval module is used to search for keywords, the retrieved data containing the keywords are extracted, and then the similarity is matched through a similarity matching module, and finally the matching results are uploaded to the review system.

[0015] Preferably, the audit process of the audit system is as follows: the similarity matching results obtained from the data processing system are judged according to the judgment criteria of the similarity judgment module, and the data with a similarity of more than 80% are extracted and reviewed by the back-end staff. Then, the relevant information of the person complained and the department is retrieved according to the complaint information, and the complaint information is verified offline. After the verification is completed, the verification results are publicized by the publicity module.

[0016] The beneficial effects of the present invention are mainly manifested in the following aspects: 1. Compared with the prior art, the present invention organically combines offline and online complaint information collection channels, automatically processes the data through a data processing system, and then audits it through an audit system. This can not only improve the operating efficiency of the system, but also effectively improve the audit accuracy and has good applicability.

[0017] 2. The present invention, by setting up a similarity determination module in the audit system, can determine whether a certain type of complaint information is a complaint from multiple people based on the similarity of the data. After the determination, relevant information can be retrieved based on the complaint information from multiple people for offline verification. This specific design not only eliminates the need to check and verify all data one by one, thereby reducing the system's operating load and the difficulty of auditing for staff, but also improves the accuracy of screening complaint information.

[0018] 3. In the process of processing data, the present invention can realize rapid processing of big data by setting up a data classification module, thereby facilitating offline verification of complaint information and improving review efficiency.

[0019] 4. The present invention, through the combination of voice data collection and Internet data collection, opens an Internet message channel, can receive more complaint information, and further improves the accuracy of the data.

[0020] 5. The present invention classifies the data collected from the data collection system through a data classification module, and the classification standard is the size of the data file. The keyword retrieval module is used to search for keywords, and the data containing the keywords are extracted. The similarity matching module is then used to match the similarity, and finally the matching results are uploaded to the audit system. The data processing system matches the data by keywords and similarities, which can quickly filter out useless data and help improve the audit efficiency.

[0021] 6. The present invention determines the similarity matching results obtained from the data processing system according to the determination criteria of the similarity determination module, extracts the data with a similarity of more than 80%, and has the background staff review it. Then, the relevant information of the complained person and department is retrieved according to the complaint information, and the complaint information is verified offline. After the verification is completed, the verification result is announced by the announcement module. The complaint information is screened and verified by the similarity of the similarity determination module, which can greatly reduce the cumbersomeness of the data. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments: Figure 1 It is a structural block diagram of the present invention; Figure 2 It is a structural block diagram of the data acquisition system of the present invention; Figure 3 is a structural block diagram of the data processing system of the present invention; Figure 4 It is a structural block diagram of the audit system of the present invention. DETAILED DESCRIPTION

[0023] Example 1 See also Figure 1-Figure 4 , a corruption risk supervision and control system based on big data, including a data collection system, a big database, a data processing system and an audit system, the data collection system is electrically connected to the data processing system, the data processing system is electrically connected to the audit system, the data collection system is used for collecting big data, the data processing system is used for processing the collected data, the audit system is used for offline auditing the processed data, the big database is used to store basic information of staff and departments, the data collection system includes an offline collection system and an online collection system, the offline collection system is used for offline collection of complaint information, and the online collection system is used for online collection of complaint information; the data processing system includes an electrically connected data classification system The audit system comprises an electronically connected similarity determination module, a big database access terminal, an information data retrieval module, an offline verification module and a public display module, wherein the similarity determination module is used for determining similarity, the big database access terminal is used for data exchange between the audit system and the big database, the information data retrieval module is used for retrieving data from the big database, the offline verification module is used for offline verification of complaint information, and the public display module is used for publicizing the verification results.

[0024] This embodiment is the most basic implementation method. By organically combining the offline and online complaint information collection channels, the data is automatically processed by the data processing system and then reviewed by the review system. This can not only improve the operating efficiency of the system, but also effectively improve the review accuracy and has good applicability.

[0025] Example 2 See also Figure 1-Figure 4, a corruption risk supervision and control system based on big data, including a data collection system, a big database, a data processing system and an audit system, the data collection system is electrically connected to the data processing system, the data processing system is electrically connected to the audit system, the data collection system is used for collecting big data, the data processing system is used for processing the collected data, the audit system is used for offline auditing the processed data, the big database is used to store basic information of staff and departments, the data collection system includes an offline collection system and an online collection system, the offline collection system is used for offline collection of complaint information, and the online collection system is used for online collection of complaint information; the data processing system includes an electrically connected data classification system The audit system comprises an electronically connected similarity determination module, a big database access terminal, an information data retrieval module, an offline verification module and a public display module, wherein the similarity determination module is used for determining similarity, the big database access terminal is used for data exchange between the audit system and the big database, the information data retrieval module is used for retrieving data from the big database, the offline verification module is used for offline verification of complaint information, and the public display module is used for publicizing the verification results.

[0026] The offline acquisition system includes an electrically connected data acquisition camera, an image filtering module, a picture-text conversion module and a data upload module. The data acquisition camera is used for shooting and collecting offline data, the image filtering module is used for filtering images, the picture-text conversion module is used for text conversion of image data, and the data upload module is used for uploading the converted text data.

[0027] The online data collection system includes an electrically connected voice input system and an Internet data collection system.

[0028] The voice entry system includes a message landline group, a voice entry module, a voice recognition module and a data upload module. The message landline group is used for leaving voice messages of complaint information, the voice entry module is used for recording message voices, the voice recognition module is used for converting voice recognition into text data, and the data upload module is used for uploading data.

[0029] The Internet data collection system includes a complaint mailbox and a complaint message website. The complaint mailbox is used to receive complaint emails, and the complaint message website is used to leave online messages on complaint information.

[0030] The Internet data collection system also includes a screenshot recording module, an image filtering module, a picture-text conversion module and a data upload module. The screenshot recording module is used for screenshot recording of complaint mailboxes and complaint message websites.

[0031] This embodiment is a preferred implementation method. By setting up a similarity judgment module in the audit system, it is possible to determine whether a certain type of complaint information is a complaint from multiple people based on the similarity of the data. After the judgment, relevant information can be retrieved based on the complaint information from multiple people for offline verification. This specific design not only eliminates the need to check and verify all data one by one, thereby reducing the system's operating load and the difficulty of auditing for staff, but also improves the accuracy of screening complaint information.

[0032] Example 3 See also Figure 1-Figure 4 , a corruption risk supervision and control system based on big data, including a data collection system, a big database, a data processing system and an audit system, the data collection system is electrically connected to the data processing system, the data processing system is electrically connected to the audit system, the data collection system is used for collecting big data, the data processing system is used for processing the collected data, the audit system is used for offline auditing the processed data, the big database is used to store basic information of staff and departments, the data collection system includes an offline collection system and an online collection system, the offline collection system is used for offline collection of complaint information, and the online collection system is used for online collection of complaint information; the data processing system includes an electrically connected data classification system The audit system comprises an electronically connected similarity determination module, a big database access terminal, an information data retrieval module, an offline verification module and a public display module, wherein the similarity determination module is used for determining similarity, the big database access terminal is used for data exchange between the audit system and the big database, the information data retrieval module is used for retrieving data from the big database, the offline verification module is used for offline verification of complaint information, and the public display module is used for publicizing the verification results.

[0033] The offline acquisition system includes an electrically connected data acquisition camera, an image filtering module, a picture-text conversion module and a data upload module. The data acquisition camera is used for shooting and collecting offline data, the image filtering module is used for filtering images, the picture-text conversion module is used for text conversion of image data, and the data upload module is used for uploading the converted text data.

[0034] The online data collection system includes an electrically connected voice input system and an Internet data collection system.

[0035] The voice entry system includes a message landline group, a voice entry module, a voice recognition module and a data upload module. The message landline group is used for leaving voice messages of complaint information, the voice entry module is used for recording message voices, the voice recognition module is used for converting voice recognition into text data, and the data upload module is used for uploading data.

[0036] The Internet data collection system includes a complaint mailbox and a complaint message website. The complaint mailbox is used to receive complaint emails, and the complaint message website is used to leave online messages on complaint information.

[0037] The Internet data collection system also includes a screenshot recording module, an image filtering module, a picture-text conversion module and a data upload module. The screenshot recording module is used for screenshot recording of complaint mailboxes and complaint message websites.

[0038] Furthermore, the collection process of the offline collection system is specifically: open the complaint mailbox, take out the letter paper, use the data collection camera to take a picture of the information on the letter paper, the taken picture data is high-definition filtered by the image filtering module, the filtered picture data is converted into text data by the image-text conversion module, and then the text data is uploaded to the data processing system through the data upload module.

[0039] This embodiment is another preferred implementation method. During the data processing process, by setting up a data classification module, it is possible to achieve rapid processing of big data, thereby facilitating offline verification of complaint information and improving review efficiency.

[0040] Example 4 See also Figure 1-Figure 4, a corruption risk supervision and control system based on big data, including a data collection system, a big database, a data processing system and an audit system, the data collection system is electrically connected to the data processing system, the data processing system is electrically connected to the audit system, the data collection system is used for collecting big data, the data processing system is used for processing the collected data, the audit system is used for offline auditing the processed data, the big database is used to store basic information of staff and departments, the data collection system includes an offline collection system and an online collection system, the offline collection system is used for offline collection of complaint information, and the online collection system is used for online collection of complaint information; the data processing system includes an electrically connected data classification system The audit system comprises an electronically connected similarity determination module, a big database access terminal, an information data retrieval module, an offline verification module and a public display module, wherein the similarity determination module is used for determining similarity, the big database access terminal is used for data exchange between the audit system and the big database, the information data retrieval module is used for retrieving data from the big database, the offline verification module is used for offline verification of complaint information, and the public display module is used for publicizing the verification results.

[0041] The offline acquisition system includes an electrically connected data acquisition camera, an image filtering module, a picture-text conversion module and a data upload module. The data acquisition camera is used for shooting and collecting offline data, the image filtering module is used for filtering images, the picture-text conversion module is used for text conversion of image data, and the data upload module is used for uploading the converted text data.

[0042] The online collection system includes an electrically connected voice input system and an Internet data collection system. The voice input system includes a message landline group, a voice input module, a voice recognition module and a data upload module. The message landline group is used for voice messages of complaint information, the voice input module is used for recording message voices, the voice recognition module is used for converting voice recognition into text data, and the data upload module is used for uploading data. The Internet data collection system includes a complaint mailbox and a complaint message website. The complaint mailbox is used for receiving complaint emails, and the complaint message website is used for online messages of complaint information.

[0043] The Internet data collection system also includes a screenshot recording module, an image filtering module, a picture-text conversion module and a data upload module. The screenshot recording module is used for screenshot recording of complaint mailboxes and complaint message websites.

[0044] Furthermore, the collection process of the offline collection system is specifically: open the complaint mailbox, take out the letter paper, use the data collection camera to take a picture of the information on the letter paper, the taken picture data is high-definition filtered by the image filtering module, the filtered picture data is converted into text data by the image-text conversion module, and then the text data is uploaded to the data processing system through the data upload module.

[0045] Furthermore, the collection process of the online collection system specifically includes the collection of voice data and the collection of Internet data; the collection of voice data refers to the public leaving voice messages for complaints through the landline message group, the voice recording module automatically records the complaint voice messages, the voice recognition module recognizes the voice and text, converts the voice information into text data, and uploads the text data after voice conversion to the data processing system; the collection of Internet data refers to the administrator opening the complaint mailbox and the complaint message website, using the screenshot recording module to take screenshots of the email content in the complaint mailbox and the message content on the complaint message website, saving them in picture format, filtering the pictures through the image filtering module, and finally converting the picture data into text data through the image-to-text conversion module and uploading it to the data processing system.

[0046] This embodiment is another preferred implementation method. By combining voice data collection and Internet data collection and opening an Internet message channel, it can receive more complaint information and further improve the accuracy of the data.

[0047] Example 5 See also Figure 1-Figure 4, a corruption risk supervision and control system based on big data, including a data collection system, a big database, a data processing system and an audit system, the data collection system is electrically connected to the data processing system, the data processing system is electrically connected to the audit system, the data collection system is used for collecting big data, the data processing system is used for processing the collected data, the audit system is used for offline auditing the processed data, the big database is used to store basic information of staff and departments, the data collection system includes an offline collection system and an online collection system, the offline collection system is used for offline collection of complaint information, and the online collection system is used for online collection of complaint information; the data processing system includes an electrically connected data classification system The audit system comprises an electronically connected similarity determination module, a big database access terminal, an information data retrieval module, an offline verification module and a public display module, wherein the similarity determination module is used for determining similarity, the big database access terminal is used for data exchange between the audit system and the big database, the information data retrieval module is used for retrieving data from the big database, the offline verification module is used for offline verification of complaint information, and the public display module is used for publicizing the verification results.

[0048] The offline acquisition system includes an electrically connected data acquisition camera, an image filtering module, a picture-text conversion module and a data upload module. The data acquisition camera is used for shooting and collecting offline data, the image filtering module is used for filtering images, the picture-text conversion module is used for text conversion of image data, and the data upload module is used for uploading the converted text data.

[0049] The online collection system includes an electrically connected voice input system and an Internet data collection system. The voice input system includes a message landline group, a voice input module, a voice recognition module and a data upload module. The message landline group is used for voice messages of complaint information, the voice input module is used for recording message voices, the voice recognition module is used for converting voice recognition into text data, and the data upload module is used for uploading data. The Internet data collection system includes a complaint mailbox and a complaint message website. The complaint mailbox is used for receiving complaint emails, and the complaint message website is used for online messages of complaint information. The Internet data collection system also includes a screenshot recording module, an image filtering module, a picture-text conversion module and a data upload module. The screenshot recording module is used for screenshot recording of the complaint mailbox and the complaint message website.

[0050] The collection process of the offline collection system is specifically as follows: open the complaint mailbox, take out the letter paper, use the data collection camera to take a picture of the information on the letter paper, the taken picture data is filtered by the image filtering module for high-definition filtering, and the filtered picture is converted into text data by the image-text conversion module, and then the text data is uploaded to the data processing system through the data upload module.

[0051] The collection process of the online collection system specifically includes the collection of voice data and the collection of Internet data; the collection of voice data refers to the public leaving voice messages for complaints through the landline message group, the voice recording module automatically records the complaint voice messages, the voice recognition module recognizes the voice text, converts the voice information into text data, and uploads the text data after voice conversion to the data processing system; the collection of Internet data refers to the administrator opening the complaint mailbox and the complaint message website, using the screenshot recording module to take screenshots of the email content in the complaint mailbox and the message content on the complaint message website, saving them in picture format, filtering the pictures through the image filtering module, and finally converting the picture data into text data through the image-to-text conversion module and uploading it to the data processing system.

[0052] Furthermore, the processing process of the data processing system is specifically as follows: the data collected from the data acquisition system is classified through a data classification module, the classification standard is the size of the data file, the keyword retrieval module is used to search for keywords, the data containing the retrieved keywords are extracted, and then the similarity is matched through a similarity matching module, and finally the matching results are uploaded to the review system.

[0053] This embodiment is another preferred implementation method. The data collected from the data collection system is classified through a data classification module. The classification standard is the size of the data file. The keyword retrieval module is used to search for keywords, and the data containing the retrieved keywords are extracted. The similarity matching module is then used to match the similarity. Finally, the matching results are uploaded to the audit system. By matching the data with keywords and similarities through the data processing system, useless data can be quickly screened out, which helps improve the audit efficiency.

[0054] Example 6 See also Figure 1-Figure 4, a corruption risk supervision and control system based on big data, including a data collection system, a big database, a data processing system and an audit system, the data collection system is electrically connected to the data processing system, the data processing system is electrically connected to the audit system, the data collection system is used for collecting big data, the data processing system is used for processing the collected data, the audit system is used for offline auditing the processed data, the big database is used to store basic information of staff and departments, the data collection system includes an offline collection system and an online collection system, the offline collection system is used for offline collection of complaint information, and the online collection system is used for online collection of complaint information; the data processing system includes an electrically connected data classification system The audit system comprises an electronically connected similarity determination module, a big database access terminal, an information data retrieval module, an offline verification module and a public display module, wherein the similarity determination module is used for determining similarity, the big database access terminal is used for data exchange between the audit system and the big database, the information data retrieval module is used for retrieving data from the big database, the offline verification module is used for offline verification of complaint information, and the public display module is used for publicizing the verification results.

[0055] The offline acquisition system includes an electrically connected data acquisition camera, an image filtering module, a picture-text conversion module and a data upload module. The data acquisition camera is used for shooting and collecting offline data, the image filtering module is used for filtering images, the picture-text conversion module is used for text conversion of image data, and the data upload module is used for uploading the converted text data.

[0056] The online data collection system includes an electrically connected voice input system and an Internet data collection system.

[0057] The voice entry system includes a message landline group, a voice entry module, a voice recognition module and a data upload module. The message landline group is used for leaving voice messages of complaint information, the voice entry module is used for recording message voices, the voice recognition module is used for converting voice recognition into text data, and the data upload module is used for uploading data.

[0058] The Internet data collection system includes a complaint mailbox and a complaint message website. The complaint mailbox is used to receive complaint emails, and the complaint message website is used to leave online messages on complaint information.

[0059] The Internet data collection system also includes a screenshot recording module, an image filtering module, a picture-text conversion module and a data upload module. The screenshot recording module is used for screenshot recording of complaint mailboxes and complaint message websites.

[0060] The collection process of the offline collection system is specifically as follows: open the complaint mailbox, take out the letter paper, use the data collection camera to take a picture of the information on the letter paper, the taken picture data is filtered by the image filtering module for high-definition filtering, and the filtered picture is converted into text data by the image-text conversion module, and then the text data is uploaded to the data processing system through the data upload module.

[0061] The collection process of the online collection system specifically includes the collection of voice data and the collection of Internet data; the collection of voice data refers to the public leaving voice messages for complaints through the landline message group, the voice recording module automatically records the complaint voice messages, the voice recognition module recognizes the voice text, converts the voice information into text data, and uploads the text data after voice conversion to the data processing system; the collection of Internet data refers to the administrator opening the complaint mailbox and the complaint message website, using the screenshot recording module to take screenshots of the email content in the complaint mailbox and the message content on the complaint message website, saving them in picture format, filtering the pictures through the image filtering module, and finally converting the picture data into text data through the image-to-text conversion module and uploading it to the data processing system.

[0062] The processing process of the data processing system is specifically as follows: the data collected from the data collection system is classified through the data classification module, the classification standard is the size of the data file, the keyword retrieval module is used to search for keywords, the data containing the retrieved keywords are extracted, and then the similarity matching module is used to match the similarity, and finally the matching results are uploaded to the review system.

[0063] Furthermore, the audit process of the audit system is specifically as follows: the similarity matching results obtained from the data processing system are judged according to the judgment criteria of the similarity judgment module, and the data with a similarity of more than 80% are extracted and reviewed by the back-end staff. Then, the relevant information of the complained person and department is retrieved according to the complaint information, and the complaint information is verified offline. After the verification is completed, the verification results will be publicized by the publicity module.

[0064] This embodiment is the best implementation method. The similarity matching results obtained from the data processing system are judged according to the judgment criteria of the similarity judgment module, and the data with a similarity of more than 80% are extracted and reviewed by the back-end staff. Then, the relevant information of the complained person and department is retrieved according to the complaint information, and the offline complaint information is verified. After the verification is completed, the verification results are publicized by the public announcement module. The complaint information is screened and verified by the similarity of the similarity judgment module, which can greatly reduce the cumbersomeness of the data.

[0065] The working principle of the present invention is as follows: The public uploads the complaint information to the system of the present invention by means of email, letterhead, Internet message and voice message; the offline collection system first opens the complaint mailbox, takes out the letterhead, and then uses the data collection camera to take a picture of the information on the letterhead, and the taken picture data is filtered by the image filtering module, and the filtered picture is converted into text data by the image-text conversion module, and then the text data is uploaded to the data processing system by the data upload module; the public makes a complaint voice message through the landline message group, and the voice recording module automatically records the complaint voice message, and the voice recognition module recognizes the voice text, thereby converting the voice information into text data, and then the text data after voice conversion is uploaded to the data processing system; the administrator opens the complaint mailbox and the complaint message website, and uses the screenshot recording module to take screenshots of the email content in the complaint mailbox and the message content on the complaint message website, saves it in picture format, and then filters the picture by the image filtering module, and finally converts the picture data into text data by the image-text conversion module and uploads it to the data processing system; data processing The system will classify the data collected from the data collection system through the data classification module. The classification standard is the size of the data file. The complaint information with a small data file will be retrieved separately and manually reviewed by the staff. Then, the keyword retrieval module will be used to search for keywords, and the data containing the keywords will be extracted. The similarity matching module will be used to match the similarity, and finally the matching results will be uploaded to the review system. The similarity matching results obtained from the data processing system will be judged according to the judgment standard of the similarity judgment module. Then, the data with a similarity of more than 80% will be extracted and reviewed separately by the back-end staff. Then, the relevant information of the complained person and department will be retrieved according to the complaint information. Specifically: according to the complained person and department, the basic information of the complained person, address, work address and ID card, and the basic information of the complained department, such as the department's address, power distribution, personnel structure and basic information of the personnel structure, will be retrieved from the big database to verify the complaint information offline. After the verification is completed, the verification results will be publicized by the public display module.

Claims

1. A corruption risk supervision and control system based on big data, characterized in that: The invention comprises the following steps: a corruption risk supervision and control system based on big data, comprising a data collection system and a big database, characterized in that: it also comprises a data processing system and an audit system, the data collection system is electrically connected to the data processing system, the data processing system is electrically connected to the audit system, the data collection system is used for collecting big data, the data processing system is used for processing the collected data, the audit system is used for offline auditing the processed data, the big database is used for storing basic information of staff and departments, the data collection system comprises an offline collection system and an online collection system, the offline collection system is used for offline collection of complaint information, and the online collection system is used for online collection of complaint information; the data processing system comprises An electrically connected data classification module, a keyword search module, a similarity matching module and a data upload module, wherein the data classification module is used to classify the data uploaded by the data acquisition system, the keyword search module is used to search for keywords in the complaint information, and the similarity matching module is used to match data similarity; the audit system includes an electrically connected similarity determination module, a large database access terminal, an information data retrieval module, an offline verification module and a public display module, wherein the similarity determination module is used to determine the similarity, the large database access terminal is used for data exchange between the audit system and the large database, the information data retrieval module is used to retrieve data from the large database, the offline verification module is used for offline verification of the complaint information, and the public display module is used to publicize the verification results.

2. According to the big data-based integrity risk supervision and control system of claim 1, it is characterized by: The offline acquisition system includes an electrically connected data acquisition camera, an image filtering module, a picture-text conversion module and a data upload module. The data acquisition camera is used for shooting and collecting offline data, the image filtering module is used for filtering images, the picture-text conversion module is used for text conversion of image data, and the data upload module is used for uploading the converted text data.

3. According to the big data-based integrity risk supervision and control system of claim 1, it is characterized by: The online data collection system includes an electrically connected voice input system and an Internet data collection system.

4. According to the big data-based integrity risk supervision and control system of claim 3, it is characterized by: The voice entry system includes a message landline group, a voice entry module, a voice recognition module and a data upload module. The message landline group is used for leaving voice messages of complaint information, the voice entry module is used for recording message voices, the voice recognition module is used for converting voice recognition into text data, and the data upload module is used for uploading data.

5. According to the big data-based integrity risk supervision and control system of claim 3, it is characterized by: The Internet data collection system includes a complaint mailbox and a complaint message website. The complaint mailbox is used to receive complaint emails, and the complaint message website is used to leave online messages on complaint information.

6. According to the big data-based integrity risk supervision and control system of claim 3, it is characterized by: The Internet data collection system also includes a screenshot recording module, an image filtering module, a picture-text conversion module and a data upload module. The screenshot recording module is used for screenshot recording of complaint mailboxes and complaint message websites.

7. According to the big data-based integrity risk supervision and control system of claim 2, it is characterized by: The collection process of the offline collection system is specifically as follows: open the complaint mailbox, take out the letter paper, use the data collection camera to take a picture of the information on the letter paper, the taken picture data is filtered by the image filtering module for high-definition filtering, and the filtered picture is converted into text data by the image-text conversion module, and then the text data is uploaded to the data processing system through the data upload module.

8. According to the big data-based integrity risk supervision and control system of claim 3, it is characterized by: The collection process of the online collection system specifically includes the collection of voice data and the collection of Internet data; the collection of voice data refers to the public leaving voice messages for complaints through the landline message group, the voice recording module automatically records the complaint voice messages, the voice recognition module recognizes the voice text, converts the voice information into text data, and uploads the text data after voice conversion to the data processing system; the collection of Internet data refers to the administrator opening the complaint mailbox and the complaint message website, using the screenshot recording module to take screenshots of the email content in the complaint mailbox and the message content on the complaint message website, saving them in picture format, filtering the pictures through the image filtering module, and finally converting the picture data into text data through the image-to-text conversion module and uploading it to the data processing system.

9. According to the big data-based integrity risk supervision and control system of claim 1, it is characterized by: The processing process of the data processing system is specifically as follows: the data collected from the data collection system is classified through the data classification module, the classification standard is the size of the data file, the keyword retrieval module is used to search for keywords, the data containing the retrieved keywords are extracted, and then the similarity matching module is used to match the similarity, and finally the matching results are uploaded to the review system.

10. According to the big data-based integrity risk supervision and control system of claim 1, it is characterized by: The audit process of the audit system is specifically as follows: the similarity matching results obtained from the data processing system are judged according to the judgment criteria of the similarity judgment module, and the data with a similarity of more than 80% are extracted and reviewed by the back-end staff. Then, the relevant information of the complained person and department is retrieved based on the complaint information, and the complaint information is verified offline. After the verification is completed, the verification results are publicized by the publicity module.

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