Internet-based integrated intelligent law enforcement system

Abstract

The invention discloses an internet-based integrated intelligent law enforcement system in the field of law enforcement systems, and the system comprises the following steps: S1, inputting a case title: inputting the type and classification of a corresponding case to quickly generate a case document title, inputting initial data into the system through inputting the title, and inputting the initial data into the system; according to the system, initial data are analyzed, so that the law enforcement efficiency can be effectively improved, and meanwhile, the problems of invalid document filling and the like caused by information filling errors are reduced, so that the accuracy and timeliness of case document filling are improved; by combining manual filling and OCR automatic recognition modes, the system can improve the accurate collection efficiency of the filled information, and reduces factors such as manual errors and the like.

Description

Technical Field

[0001] The present invention relates to the technical field of law enforcement systems, and in particular to an integrated intelligent law enforcement system based on the Internet. Background Art

[0002] The integrated smart law enforcement case handling platform implements the "Internet +" concept, relies on the smart city framework, adopts modern information technologies such as urban Internet of Things, cloud computing, and multi-network integration, and deeply combines traditional administrative law enforcement with Internet applications. It uses digital basic resources, multi-dimensional information perception, collaborative work disposal and other means, network approval, convenient operation, standardizes law enforcement and case handling procedures, improves law enforcement efficiency, and forms a new model of comprehensive law enforcement management with high perception, interconnection, and intelligence. It realizes the full supervision closed loop of "prior approval, in-process inspection, post-event punishment, and credit record" business, promotes paperless, automated, and instant law enforcement and case handling, and realizes the informatization and intelligence of administrative law enforcement and law enforcement supervision.

[0003] Traditional online law enforcement systems need to be used in conjunction with offline paper documents. The process of uploading paper documents and waiting for approval reduces the efficiency of the law enforcement system, ultimately leading to problems such as reduced law enforcement efficiency and untimely law enforcement. Summary of the invention

[0004] The purpose of this section is to summarize some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of the present invention to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0005] The purpose of the present invention is to address the technical problems existing in the background technology. The present invention proposes an integrated intelligent law enforcement system based on the Internet. The present invention can effectively improve the law enforcement efficiency through this system while reducing the problems such as invalid document filling due to incorrect information filling, thereby improving the accuracy and timeliness of case document filling. By combining manual filling with OCR automatic recognition, the system's efficiency in accurately collecting filled information can be improved, reducing factors such as human errors.

[0006] The present invention proposes an integrated intelligent law enforcement system based on the Internet, comprising the following steps: S1: Case title input step. This step can quickly generate case document titles by inputting the type and classification of the corresponding case. By inputting the title, initial data can be input into the system. The system analyzes the initial data. S2 is a step of generating a corresponding document template according to the case title. According to the input title information, the corresponding case document template can be retrieved, and then the corresponding case template is generated. After the case template is generated, the case template is associated with the title and a search keyword is generated, and the search keyword is associated with the case document; S3 associates the corresponding relevant system information step. After the case document template is generated, the system information related to it is retrieved according to the case document template, and the system information is displayed on the side of the blank position that needs to be filled in the case document template, and the filling requirements for the blank part of the document template in the system information are highlighted, and a hyperlink associated with the relevant system information is generated in the case template, which can be directly jumped to the corresponding system position of the relevant system information in the case template by clicking; S4 is a step of filling in the document content according to the blanks in the template, filling in the blanks that need to be filled in the document template according to the generated case document template, and using different colors to remind the blanks in the case document template during the filling process, and then displaying the information that different personnel need to fill in according to different colors; S5 calls the OCR recognition function to complete the information filling step. Through the OCR technology, it can quickly fill in the certificate or certificate information when the case document template needs to be filled in. During the OCR recognition process, it can review the certificate information while reading it, and display the backup information of the read certificate information on the network on the reading information side, and compare the read information with the verification information on the network; S6 document intelligent verification step, this step can only check the blank parts that need to be filled in the case document template, and can align and verify some specific data such as email address or ID number. When a verification error occurs, the error information part will be highlighted to remind the filler to make changes, and the intelligent verification link will retain the modification record of the filler; S7 Upload documents for real-time approval. This system can upload the case document template after it is completed by online filling. The back-end personnel will review and approve the case template content and then send it back to complete the case approval work. The uploaded document information includes the filled-in part and modification traces, and carries the scanned information of the relevant personnel's certificates; S8 case archiving and storage step, after the approval is completed, the case documents can be archived and stored, and the keywords in the case title can be tagged and saved as search keywords.

[0007] By adopting the above-mentioned technical solutions, this solution fully reflects the design concept of "comprehensive supervision, comprehensive application, unified standards, resource sharing, and standardized law enforcement system" of smart traffic law enforcement through the construction of an integrated law enforcement platform, which greatly improves law enforcement efficiency and reduces repetitive work.

[0008] Preferably, the step of inputting the case title can recognize the input content in real time when the user is inputting the title, so as to extract the keywords in the title of the data by only segmenting the sentences, thereby generating a case document template of the corresponding type without the need for manual selection of the case type.

[0009] By adopting the above technical solutions, in terms of construction content, we follow the relevant national standards and expand multiple applications according to local conditions to meet the actual needs of traffic law enforcement management as much as possible. The operation mode of "multi-level management, multi-level command, and multi-level disposal" can flexibly formulate different digital management mechanisms to facilitate business process reengineering.

[0010] Preferably, the association corresponds to a relevant system information step, which can automatically associate and generate relevant system information and filling requirements based on the content of the generated case document template. At the same time, this step fragments the relevant system information as a whole again, and then displays the relevant system information in the form of short sentences next to the blank part of the case document template that needs to be filled in.

[0011] By adopting the above-mentioned technical solutions, we have achieved the goal of building a unified management application platform in terms of technical path. With the platform-based and component-based design ideas, we have established a basic platform for the application expansion of the traffic administrative law enforcement platform, which has strong scalability.

[0012] Preferably, the OCR recognition function is called to complete the information filling step, which includes using a writing terminal with a camera device. Through camera image acquisition and OCR recognition function, the collection of certificate information can be realized, and the problem that the terminal device cannot recognize some non-magnetic certificates is avoided. In addition, during the OCR recognition process, the network backup of the corresponding certificate information on the Internet will be called to compare the certificate information on the network with the on-site certificate information.

[0013] By adopting the above-mentioned technical solutions, the platform has pre-made relevant industry laws and regulations information issued at various levels, including national, provincial, ministerial, and municipal levels. At the same time, the law enforcement discretion standards issued at the provincial and municipal levels can be customized and entered according to needs.

[0014] Preferably, the document intelligent verification step can automatically check the rationality of the filled content after the blank parts of the template are filled in, and highlight the erroneous parts as a reminder, by adding a preset filling format or digital format in the intelligent verification link.

[0015] By adopting the above technical solution, legal and regulatory risks: manual filling is prone to inaccurate descriptions, irregular or even wrong writing, crude pattern production, incorrect citation of laws and regulations, and even manual tampering afterwards; some case files are blank documents after being stamped and placed in the law enforcement squadron, which poses a great risk of being lost to society; it is impossible to trace relevant information of the law enforcement process.

[0016] Preferably, the case archiving and storage step can automatically save electronic case documents, avoiding the use of paper files for storage, and at the same time, keyword indexing can be used to retrieve them in the later search and query process.

[0017] By adopting the above technical solution, process risks can be standardized: manual processing has no records of process points, and if no records are left in the files, a lot of important information will not be saved; since the files are delivered manually, involving time, personnel, signatures and other reasons, many files follow abnormal processes and the risks are very high; it is impossible to associate videos.

[0018] In summary, the present invention includes at least one of the following beneficial effects: This system can effectively improve the efficiency of law enforcement while ensuring the perfection of case documents, avoiding omissions in case documents due to manual operations and other reasons. This system uses a variety of information input methods to improve the collection efficiency and accuracy of information that needs to be filled in the template, and reduce information errors caused by manual input. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0020] Figure 1 It is a front view of an embodiment of an integrated intelligent law enforcement system based on the Internet of the present invention; DETAILED DESCRIPTION

[0021] The following is combined with Figure 1 The present invention is described in further detail.

[0022] Embodiment 1, as Figure 1 In order to solve the existing problems, in this embodiment, the present invention discloses an integrated intelligent law enforcement system based on the Internet, comprising the following steps: S1: Case title input step. This step can quickly generate case document titles by inputting the type and classification of the corresponding case. By inputting the title, initial data can be input into the system. The system analyzes the initial data. S2 is a step of generating a corresponding document template according to the case title. According to the input title information, the corresponding case document template can be retrieved, and then the corresponding case template is generated. After the case template is generated, the case template is associated with the title and a search keyword is generated, and the search keyword is associated with the case document; S3 associates the corresponding relevant system information step. After the case document template is generated, the system information related to it is retrieved according to the case document template, and the system information is displayed on the side of the blank position that needs to be filled in the case document template, and the filling requirements for the blank part of the document template in the system information are highlighted, and a hyperlink associated with the relevant system information is generated in the case template, which can be directly jumped to the corresponding system position of the relevant system information in the case template by clicking; S4 is a step of filling in the document content according to the blanks in the template, filling in the blanks that need to be filled in the document template according to the generated case document template, and using different colors to remind the blanks in the case document template during the filling process, and then displaying the information that different personnel need to fill in according to different colors; S5 calls the OCR recognition function to complete the information filling step. Through the OCR technology, it can quickly fill in the certificate or certificate information when the case document template needs to be filled in. During the OCR recognition process, it can review the certificate information while reading it, and display the backup information of the read certificate information on the network on the reading information side, and compare the read information with the verification information on the network; S6 document intelligent verification step, this step can only check the blank parts that need to be filled in the case document template, and can align and verify some specific data such as email address or ID number. When a verification error occurs, the error information part will be highlighted to remind the filler to make changes, and the intelligent verification link will retain the modification record of the filler; S7 Upload documents for real-time approval. This system can upload the case document template after it is completed by online filling. The back-end personnel will review and approve the case template content and then send it back to complete the case approval work. The uploaded document information includes the filled-in part and modification traces, and carries the scanned information of the relevant personnel's certificates; S8 case archiving and storage step, after the approval is completed, the case documents can be archived and stored, and the keywords in the case title can be tagged and saved as search keywords.

[0023] The system's intelligent generation of case document templates can improve the approval and processing speed of case handling. The electronic processing process can reduce paper waste and facilitate later retrieval, reducing the difficulty of archiving and storage. At the same time, the system uses a combination of multiple input methods to identify different certificates and achieve automatic input, avoiding manual input errors.

[0024] Embodiment 2, as Figure 1 In order to solve the existing problems, in this embodiment, based on the same concept as the above-mentioned embodiment 1, this integrated intelligent law enforcement system based on the Internet also includes: the step of inputting the case title, which can recognize the input content in real time during the process of the user inputting the title, so as to extract the keywords in the title of the data by only segmenting the sentences, so that the corresponding type of case document template can be generated without manual selection of the case type.

[0025] The association corresponds to the relevant system information step, which can automatically generate relevant system information and filling requirements based on the content of the generated case document template. At the same time, this step fragments the relevant system information as a whole again, and then displays the relevant system information in the form of short sentences next to the blank part of the case document template that needs to be filled in.

[0026] The calling of the OCR recognition function to complete the information filling step includes using a writing terminal with a camera device. Through camera image acquisition and OCR recognition function, the collection of certificate information can be realized, and the problem that the terminal device cannot recognize some non-magnetic certificates is avoided. In addition, during the OCR recognition process, the network backup of the corresponding certificate information on the Internet will be called to compare the certificate information on the network with the on-site certificate information.

[0027] The document intelligent verification step, by adding a preset filling format or digital format in the intelligent verification link, can automatically check the rationality of the filled content after the blank parts of the template are filled in, and highlight the erroneous parts for reminder.

[0028] The case filing and storage step can automatically save electronic case documents, avoiding the use of paper files for storage, and can also be retrieved in the later search and query process by using keyword indexing. Through the intelligent verification process, the content of the document can be checked, thus avoiding problems such as document invalidation caused by format errors, and improving the efficiency and accuracy of filling out case documents.

[0029] The above are all preferred embodiments of the present invention, and are not intended to limit the protection scope of the present invention. Therefore, any equivalent changes made based on the structure, shape, and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. An integrated intelligent law enforcement system based on the Internet, comprising the following steps: S1: Case title input step. This step can quickly generate case document titles by inputting the type and classification of the corresponding case. By inputting the title, initial data can be input into the system. The system analyzes the initial data. S2 is a step of generating a corresponding document template according to the case title. According to the input title information, the corresponding case document template can be retrieved, and then the corresponding case template is generated. After the case template is generated, the case template is associated with the title and a search keyword is generated, and the search keyword is associated with the case document; S3 associates the corresponding relevant system information step. After the case document template is generated, the system information related to it is retrieved according to the case document template, and the system information is displayed on the side of the blank position that needs to be filled in the case document template, and the filling requirements for the blank part of the document template in the system information are highlighted, and a hyperlink associated with the relevant system information is generated in the case template, which can be directly jumped to the corresponding system position of the relevant system information in the case template by clicking; S4 is a step of filling in the document content according to the blanks in the template, filling in the blanks that need to be filled in the document template according to the generated case document template, and using different colors to remind the blanks in the case document template during the filling process, and then displaying the information that different personnel need to fill in according to different colors; S5 calls the OCR recognition function to complete the information filling step. Through the OCR technology, it can quickly fill in the certificate or certificate information when the case document template needs to be filled in. During the OCR recognition process, it can review the certificate information while reading it, and display the backup information of the read certificate information on the network on the reading information side, and compare the read information with the verification information on the network; S6 document intelligent verification step, this step can only check the blank parts that need to be filled in the case document template, and can align and verify some specific data such as email address or ID number. When a verification error occurs, the error information part will be highlighted to remind the filler to make changes, and the intelligent verification link will retain the modification record of the filler; S7 Upload documents for real-time approval. This system can upload the case document template after it is completed by online filling. The back-end personnel will review and approve the case template content and then send it back to complete the case approval work. The uploaded document information includes the filled-in part and modification traces, and carries the scanned information of the relevant personnel's certificates; S8 case archiving and storage step, after the approval is completed, the case documents can be archived and stored, and the keywords in the case title can be tagged and saved as search keywords.

2. The integrated intelligent law enforcement system based on the Internet according to claim 1 is characterized in that: The step of inputting the case title can recognize the input content in real time when the user is inputting the title, so as to extract the keywords in the title of the data by only segmenting the sentences, thereby generating a case document template of the corresponding type without the need for manual selection of the case type.

3. The integrated intelligent law enforcement system based on the Internet according to claim 1 is characterized in that: The association corresponds to the relevant system information step, which can automatically generate relevant system information and filling requirements based on the content of the generated case document template. At the same time, this step will fragment the relevant system information as a whole again, and then display the relevant system information in the form of short sentences next to the blank part of the case document template that needs to be filled in.

4. The integrated intelligent law enforcement system based on the Internet according to claim 1 is characterized in that: The calling of the OCR recognition function to complete the information filling step includes using a writing terminal with a camera device. Through camera image acquisition and OCR recognition function, the collection of certificate information can be realized, and the problem that the terminal device cannot recognize some non-magnetic certificates is avoided. In addition, during the OCR recognition process, the network backup of the corresponding certificate information on the Internet will be called to compare the certificate information on the network with the on-site certificate information.

5. The integrated intelligent law enforcement system based on the Internet according to claim 1 is characterized in that: The document intelligent verification step, by adding a preset filling format or digital format in the intelligent verification link, can automatically check the rationality of the filled content after the blank parts of the template are filled in, and highlight the erroneous parts for reminder.

6. The integrated intelligent law enforcement system based on the Internet according to claim 1 is characterized in that: The case archiving and storage step can automatically save electronic case documents, avoiding the use of paper files for storage, and at the same time, keyword indexing can be used for retrieval in the later search and query process.

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