CN110705967A - Intelligent operation system and method for collaborating and conducting - Google Patents
Intelligent operation system and method for collaborating and conducting Download PDFInfo
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Abstract
The invention discloses a collaborative investigation and collaborative work intelligent operation system, and relates to the technical field of supervision systems. Aiming at the phenomenon of mutual responsibility removal and difficulty faced by informationization sharing in the conventional law enforcement inspection, the technical scheme is adopted that a task initiating module initiates a task application and creates a task file, a resource generating module processes historical data of a monitored object and generates a supervision portrait, a task pushing module compares the supervision portrait with a task application and pushes the task application to the monitored object when the comparison result of the supervision portrait and the task application is consistent, the task supervising module supervises the task application and execution condition received by the monitored object, a task feedback module collects the supervision result to generate case source information and feeds the case source information back to the task initiating module and related law enforcement units, and a task information sharing module stores the collected result and forms a basic information base for sharing. The whole process can be used for real-time targeted supervision measures for the supervised object, information sharing can be realized, and the working efficiency is improved.
Description
Technical Field
The invention relates to a monitoring system, in particular to a collaborative investigation and collaborative work intelligent operation system and a method.
Background
Due to different supervision fields of supervision units, communication coordination is not smooth, law enforcement time is not uniform, and the phenomenon of mutual responsibility pushing and unloading occurs only in the law enforcement range, so that the processing of events is delayed, and the efficiency is low. Meanwhile, the information collection channels of each supervision unit are different, so that the information collection operation is repeated, the information supply is unscientific, and the law enforcement efficiency is seriously influenced. And the independent enforcement of law by each department increases the interference on the normal production activities of enterprises.
Disclosure of Invention
Aiming at the current phenomenon of mutual responsibility removal in law enforcement inspection and the difficulty faced by informatization sharing, the invention provides a collaborative inspection collaborative work intelligent operation system and a collaborative inspection collaborative work intelligent operation method, which are used for promoting the standardization and the intellectualization of law enforcement supervision, realizing information sharing and improving the supervision and inspection efficiency.
Firstly, the invention provides a collaborative investigation and collaborative work intelligent operation system, which adopts the following technical scheme for solving the technical problems:
a collaborative intelligent operations system, the system comprising:
the task initiating module is used for initiating a collaborative investigation and collaborative task application and automatically creating a task file when the task application passes;
the resource generation module is used for analyzing, extracting and integrating historical data of the monitored object so as to automatically generate a monitoring portrait of the monitored object;
the task pushing module is used for acquiring the supervision image keywords of the supervision object and the keywords of the collaborative search collaborative task and automatically pushing the collaborative search collaborative task to the related supervision object according to the keyword comparison result;
the task supervision module is used for identifying and analyzing the collaborative co-processing tasks received by the supervision object and supervising the recording process of the collaborative co-processing tasks executed by the supervision object based on the supervision portrait of the supervision object;
the task feedback module is used for summarizing the supervision results of the task supervision module, automatically generating case source information related to illegal violation when the summarized result contains illegal violation conditions, then feeding the summarized result and the case source information back to the task file created by the task initiating module, manually classifying and screening the case source information and further sending the case source information to related law enforcement agencies;
and the task information sharing module is used for storing the historical data acquired by the collaborative task and the received summary result, and forming a basic information base for sharing the unit initiating the collaborative task application.
Specifically, the resource generation module further includes:
the formulating submodule is used for formulating the filtering standard and the extraction rule of the data;
the extraction submodule is used for extracting historical data of the monitored object on the sharing platform in a data docking mode, and the historical data of the monitored object comprises and is not limited to the industrial and commercial information, credit evaluation, operation information, qualification authentication information, enterprise ethnic information, network public opinion information and government monitoring information of the monitored object;
and the resource generation submodule is used for generating a supervision portrait according to the historical data of the supervision object and the time track and the place track, the supervision portrait comprises basic information and behavior information of the supervision object, and the behavior information of the supervision portrait shows major events and important time nodes in the growth process of the supervision object from two dimensions of time and place respectively.
Specifically, the related task pushing module further comprises:
the construction submodule is used for constructing a service keyword and a related mapping word library according to the supervision portrait keyword of the supervision object;
the disassembly matching sub-module is used for disassembling the contents of the collaborative investigation and collaborative task in various forms and matching the contents with the constructed mapping word bank;
the comparison matching submodule is used for comparing the matching content of the disassembled matching submodule with the behavior information of the monitored object one by one and taking the matching content with the optimal comparison result as the optimal matching scheme;
and the task pushing sub-module is used for automatically pushing the collaborative task to the related supervision object according to the matching scheme.
More specifically, the related disassembling and matching sub-module performs disassembling in various forms on the content of the collaborative investigation and collaborative task, and matches the content with the constructed mapping word bank, and the specific execution process comprises the following steps:
firstly, the content of the collaborative task is disassembled to obtain a plurality of task keywords,
then, sorting is carried out according to the occurrence times of a plurality of task keywords,
then, at least three task keywords are selected for permutation and combination,
finally, respectively matching the results of the permutation and combination with the constructed mapping word stock;
specifically, the matching rate is preset in the task supervision module, the task supervision module compares the disassembled collaborative task with the supervision portrait of the supervision object,
when the comparison result exceeds the set matching rate, the supervision object meets the requirement of the collaborative investigation collaborative task, the task supervision module automatically pushes the collaborative investigation collaborative task to the supervision object, and especially supervises the recording process of the collaborative investigation collaborative task executed by the supervision object according to the keywords belonging to the behavior information in the supervision portrait of the supervision object;
when the comparison and search result does not exceed the set matching rate, the supervision object does not meet the requirement of the collaborative search collaborative task, the task supervision module directly sends the result that the supervision object does not meet the collaborative search collaborative task to the task feedback module, and the task supervision module does not supervise the supervision object.
More specifically, when the summary result contains illegal violation conditions, the related task feedback module further analyzes the case source information subjected to classification screening, and carries out reporting and copying on the case source information according to the analysis result.
Secondly, based on the above-mentioned collaborating and collaborating intelligent operation system, the invention also provides a collaborating and collaborating intelligent operation method, the implementation process of the method comprises:
s10, logging in the system by the assistant staff, initiating an assistant task application through the task initiating module, and automatically creating a task file according to the task application after the manual examination is passed;
s20, the collaborating staff analyzes, extracts and integrates the historical data of the monitored object through the resource generation module, and then the monitoring portrait of the monitored object is automatically generated;
s30, the task pushing module automatically acquires the supervision picture keywords of the supervision object and the keywords of the collaborative search collaborative task, and automatically pushes the collaborative search collaborative task to the relevant supervision object according to the keyword comparison result;
s40, based on the supervision portrait of the supervision object, the task supervision module firstly identifies and analyzes the collaborative task received by the supervision object, and then supervises the recording process of the collaborative task executed by the supervision object;
s50, the task feedback module automatically collects the monitoring results of the task monitoring module, the task information sharing module stores the collected results and forms a basic information base for sharing, when the collected results contain illegal violation conditions, the task feedback module automatically generates case source information related to illegal violations, feeds the collected results and the case source information back to the task file created by the task initiating module, the assistant staff checks the task file, and the case source information is classified and screened and then is further sent to related law enforcement agencies through the task feedback module.
In step S20, the collaborating staff analyzes, extracts and integrates the historical data of the monitored object through the resource generation module, and then automatically generates the monitoring portrait of the monitored object, and the specific implementation steps include:
s21, making a filtering standard and an extraction rule of the data;
s22, extracting historical data of the monitored object on the shared platform in a data docking mode, wherein the historical data of the monitored object comprises and is not limited to the industrial and commercial information, credit evaluation, operation information, qualification authentication information, enterprise ethnic information, network public opinion information and government monitoring information of the monitored object;
and S23, generating a supervision portrait according to the historical data of the supervision object and the time track and the place track, wherein the supervision portrait comprises basic information and behavior information of the supervision object, and the behavior information of the supervision portrait shows major events and important time nodes in the growth process of the supervision object from two dimensions of time and place respectively.
In step S30, the task pushing module automatically obtains the supervision image keywords of the supervised object and the keywords of the collaborative task, and automatically pushes the collaborative task to the relevant supervised object according to the keyword comparison result, and the specific implementation steps include:
s31, building a service keyword and a related mapping word library according to the supervision portrait keyword of the supervision object;
s32, performing multi-form disassembly on the content of the collaborative task to obtain a plurality of task keywords, sequencing according to the occurrence times of the task keywords, selecting at least three task keywords for permutation and combination, and respectively matching the result of the permutation and combination with the constructed mapping word library;
s33, comparing the matching content with the behavior information of the supervision object one by one, and taking the matching content with the optimal comparison result as the optimal matching scheme;
and S34, automatically pushing the collaborating and dealing tasks to the related supervision objects according to the matching scheme.
In step S40, the matching rate is preset in the task supervision module, the task supervision module compares the disassembled collaborative task with the supervision portrait of the supervision object,
when the comparison result exceeds the set matching rate, the supervision object meets the requirement of the collaborative investigation collaborative task, the task supervision module automatically pushes the collaborative investigation collaborative task to the supervision object, and especially supervises the recording process of the collaborative investigation collaborative task executed by the supervision object according to the keywords belonging to the behavior information in the supervision portrait of the supervision object;
when the comparison and search result does not exceed the set matching rate, the supervision object does not meet the requirement of the collaborative search collaborative task, the task supervision module directly sends the result that the supervision object does not meet the collaborative search collaborative task to the task feedback module, and the task supervision module does not supervise the supervision object.
Compared with the prior art, the assistant investigation and assistant work intelligent operation system and the method have the advantages that:
the invention completes the push of the cooperative inspection cooperative task application, the supervision of the execution task application of the supervision object and the feedback and sharing of the supervision result through the six parts of the task initiating module, the resource generating module, the task pushing module, the task supervision module, the task feedback module and the task information sharing module together, forms the supervision resultant under the cooperative inspection cooperative of each supervision object through dynamic analysis, assists the cooperative inspection cooperative staff to carry out real-time targeted supervision measures aiming at the supervision object, avoids the supervision object from spreading the cooperative inspection cooperative task application, can realize the sharing of the feedback supervision result of different departments, improves the work efficiency, effectively breaks through the information barrier, solves the problems of non-uniform authority, multiple management contents but unclear affiliation departments, no supervision resultant and the like.
Drawings
Fig. 1 is a connection block diagram of a first embodiment of the present invention.
The reference information in the drawings indicates:
10. a task initiating module 20, a resource generating module 30, a task pushing module 40, a task supervising module,
50. a task feedback module 60 and a task information sharing module;
21. a sub-module is formulated, 22, a sub-module is extracted, 23, and a resource generation sub-module is prepared;
31. a construction sub-module, 32, a disassembly matching sub-module, 33, a comparison matching sub-module,
34. and the task pushing submodule.
Detailed Description
In order to make the technical solutions, technical problems to be solved, and technical effects of the present invention more clearly apparent, the technical solutions of the present invention are described below in detail and completely with reference to specific embodiments, and it is obvious that the described embodiments are only a part of embodiments of the present invention, but not all embodiments.
The first embodiment is as follows:
with reference to fig. 1, the present embodiment provides a collaborative collaboration and collaborative work intelligent operation system, which includes:
the task initiating module 10 is used for initiating a collaborative investigation and collaborative task application and automatically creating a task file when the task application passes;
the resource generation module 20 is used for analyzing, extracting and integrating historical data of the monitored object so as to automatically generate a monitoring portrait of the monitored object;
the task pushing module 30 is configured to obtain the monitoring image keywords of the monitored object and the keywords of the collaborative task, and automatically push the collaborative task to the relevant monitored object according to the keyword comparison result;
the task supervision module 40 is used for identifying and analyzing the collaborative task received by the supervision object and supervising the recording process of the collaborative task executed by the supervision object based on the supervision portrait of the supervision object;
the task feedback module 50 is configured to collect the monitoring results of the task monitoring module 40, automatically generate case source information related to illegal violation when the collected results include illegal violation conditions, then feed the collected results and the case source information back to the task file created by the task initiating module 10, manually classify and screen the case source information, and further send the case source information to a related law enforcement organization;
and the task information sharing module 60 is configured to store the historical data obtained by the collaborative task and the received summary result, and form a basic information base for sharing by the unit initiating the application of the collaborative task.
In this embodiment, the resource generation module 20 further includes:
the formulating submodule 21 is used for formulating the filtering standard and the extraction rule of the data;
the extraction submodule 22 is used for extracting historical data of the monitored object on the shared platform in a data docking manner, wherein the historical data of the monitored object comprises and is not limited to the industrial and commercial information, credit evaluation, operation information, qualification authentication information, enterprise ethnic information, network public opinion information and government monitoring information of the monitored object;
and the resource generation submodule 23 is used for generating a supervision portrait according to the time track and the place track from the historical data of the supervision object, wherein the supervision portrait comprises basic information and behavior information of the supervision object, and the behavior information of the supervision portrait shows major events and important time nodes in the growth process of the supervision object from two dimensions of time and place respectively.
In the present embodiment, the task pushing module 30 includes:
the construction submodule 31 is used for constructing a service keyword and a related mapping word library according to the supervision portrait keyword of the supervision object;
the disassembly matching submodule 32 is used for performing multi-form disassembly on the contents of the collaborative investigation and collaborative tasks and matching the contents with the constructed mapping word bank;
the comparison matching submodule 33 is used for comparing the matching content of the disassembled matching submodule 32 with the behavior information of the monitored object one by one, and taking the matching content with the optimal comparison result as the optimal matching scheme;
and the task pushing sub-module 34 is used for automatically pushing the collaborative task to the related supervision object according to the matching scheme.
In this embodiment, the related parsing and matching sub-module 32 parses the content of the collaborative task in multiple forms, and matches the content with the constructed mapping lexicon, and the specific implementation process includes:
firstly, the content of the collaborative task is disassembled to obtain a plurality of task keywords,
then, sorting is carried out according to the occurrence times of a plurality of task keywords,
then, at least three task keywords are selected for permutation and combination,
finally, respectively matching the results of the permutation and combination with the constructed mapping word stock;
in the present embodiment, the matching rate is preset in the task supervision module 40, the task supervision module 40 compares the disassembled collaborative task with the supervision portrait of the supervision object,
when the comparison result exceeds the set matching rate, the supervision object meets the requirement of the collaborative investigation collaborative task, the task supervision module 40 automatically pushes the collaborative investigation collaborative task to the supervision object, and especially supervises the recording process of the execution of the collaborative investigation collaborative task by the supervision object according to the keywords belonging to the behavior information in the supervision portrait of the supervision object;
when the comparison and search result does not exceed the set matching rate, the supervised object does not meet the requirement of the collaborative research collaborative task, the task supervision module 40 directly sends the result that the supervised object does not meet the collaborative research collaborative task to the task feedback module 50, and the task supervision module 40 does not supervise the supervised object.
In this embodiment, when the summary result includes an illegal violation, the related task feedback module 50 further analyzes the case source information obtained by classification and screening, and performs a copy and a transmission of the case source information according to the analysis result.
Example two:
the embodiment provides a collaborative investigation and collaborative work intelligent operation method, which comprises the following implementation processes:
s10, logging in the system, initiating the application of the task of collaborating by the task initiating module 10, and after the manual examination is passed, the task initiating module 10 automatically creates a task file according to the task application.
S20, the collaborating staff analyzes, extracts and integrates the historical data of the monitored object through the resource generation module 20, and then the monitoring portrait of the monitored object is automatically generated.
The specific execution steps of the resource generation module 20 in step S20 in this embodiment include:
s21, making a filtering standard and an extraction rule of the data;
s22, extracting historical data of the monitored object on the sharing platform in a data docking mode, wherein the historical data of the monitored object comprises and is not limited to the industrial and commercial information, credit evaluation, operation information, qualification authentication information, enterprise ethnic information, network public opinion information and government monitoring information of the monitored object;
and S23, generating a supervision portrait according to the historical data of the supervision object and the time track and the place track, wherein the supervision portrait comprises basic information and behavior information of the supervision object, and the behavior information of the supervision portrait shows major events and important time nodes in the growth process of the supervision object from two dimensions of time and place respectively.
S30, the task pushing module 30 automatically obtains the supervision image keywords of the supervision object and the keywords of the collaborative task, and automatically pushes the collaborative task to the relevant supervision object according to the keyword comparison result.
In this embodiment, the specific steps executed by the task pushing module 30 in step S30 include:
s31, building a service keyword and a related mapping word library according to the supervision portrait keyword of the supervision object;
s32, performing multi-form disassembly on the content of the collaborative task to obtain a plurality of task keywords, sequencing according to the occurrence times of the task keywords, selecting at least three task keywords for permutation and combination, and respectively matching the result of the permutation and combination with the constructed mapping word library;
s33, comparing the matching content with the behavior information of the supervision object one by one, and taking the matching content with the optimal comparison result as the optimal matching scheme;
and S34, automatically pushing the collaborating and dealing tasks to the related supervision objects according to the matching scheme.
S40, based on the supervision portrait of the supervision object, the task supervision module 40 firstly identifies and analyzes the collaborative task received by the supervision object, and then supervises the recording process of the supervision object for executing the collaborative task.
In step S40 of the present embodiment, the matching rate is preset in the task supervising module 40, the task supervising module 40 compares the disassembled collaborative task with the supervising portrait of the supervised object,
when the comparison result exceeds the set matching rate, the supervision object meets the requirement of the collaborative search collaborative task, the task supervision module 40 automatically pushes the collaborative search collaborative task to the supervision object, and supervises the recording process of the execution of the collaborative search collaborative task by the supervision object;
when the comparison and search result does not exceed the set matching rate, the supervised object does not meet the requirement of the collaborative research collaborative task, the task supervision module 40 directly sends the result that the supervised object does not meet the collaborative research collaborative task to the task feedback module 50, and the task supervision module 40 does not supervise the supervised object.
S50, the task feedback module 50 automatically collects the monitoring results of the task monitoring module 40, the task information sharing module 60 stores the collected results and forms a basic information base for sharing, when the collected results contain illegal and illegal conditions, the task feedback module 50 automatically generates case source information related to illegal and illegal conditions, feeds the collected results and the case source information back to the task file created by the task initiating module 10, the assistant staff checks the task file, and the case source information is classified and screened and then is further sent to related law enforcement agencies through the task feedback module 50.
In summary, by adopting the collaborating and collaborating intelligent operation system and the collaborating and collaborating intelligent operation method, the task initiating module 10, the resource generating module 20, the task pushing module 30, the task supervision module 40, the task feedback module 50 and the task information sharing module 60 are used for jointly completing pushing of the collaborating and collaborating task application, supervision of the task application executed by the supervised object and feedback and sharing of the supervision result, and through dynamic analysis, supervision resultant force is formed under the collaborating and collaborating of each supervised object, and the collaborating and collaborating staff are assisted to take real-time targeted supervision measures aiming at the supervised object, so that the application of the collaborating and collaborating task application by the supervised object is avoided, meanwhile, the sharing of the feedback supervision result of different departments can be realized, the work efficiency is improved, the information barrier is effectively broken, the problem of non-uniform authority is solved, the management content is more, but the departments are not asbespoke, The problems of supervision resultant force and the like are not formed.
The principle and embodiments of the present invention are explained in detail by using specific examples, which are only used to help understanding the core technical content of the present invention and are not used to limit the protection scope of the present invention. Based on the above embodiments of the present invention, those skilled in the art should make any improvements and modifications to the present invention without departing from the principle of the present invention, and therefore, the present invention should fall into the protection scope of the present invention.
Claims (10)
1. A collaborative intelligent operations system, the system comprising:
the task initiating module is used for initiating a collaborative investigation and collaborative task application and automatically creating a task file when the task application passes;
the resource generation module is used for analyzing, extracting and integrating historical data of the monitored object so as to automatically generate a monitoring portrait of the monitored object;
the task pushing module is used for acquiring the supervision image keywords of the supervision object and the keywords of the collaborative search collaborative task and automatically pushing the collaborative search collaborative task to the related supervision object according to the keyword comparison result;
the task supervision module is used for identifying and analyzing the collaborative co-processing tasks received by the supervision object and supervising the recording process of the collaborative co-processing tasks executed by the supervision object based on the supervision portrait of the supervision object;
the task feedback module is used for summarizing the supervision results of the task supervision module, automatically generating case source information related to illegal violation when the summarized result contains illegal violation conditions, then feeding the summarized result and the case source information back to the task file created by the task initiating module, manually classifying and screening the case source information and further sending the case source information to related law enforcement agencies;
and the task information sharing module is used for storing the historical data acquired by the collaborative task and the received summary result, and forming a basic information base for sharing the unit initiating the collaborative task application.
2. A collaborative intelligent operation system according to claim 1, wherein the resource generation module further comprises:
the formulating submodule is used for formulating the filtering standard and the extraction rule of the data;
the extraction submodule is used for extracting historical data of the monitored object on the sharing platform in a data docking mode, and the historical data of the monitored object comprises and is not limited to the industrial and commercial information, credit evaluation, operation information, qualification authentication information, enterprise ethnic information, network public opinion information and government monitoring information of the monitored object;
and the resource generation submodule is used for generating a supervision portrait according to the historical data of the supervision object and the time track and the place track, the supervision portrait comprises basic information and behavior information of the supervision object, and the behavior information of the supervision portrait shows major events and important time nodes in the growth process of the supervision object from two dimensions of time and place respectively.
3. A collaborative intelligent operation system according to claim 2, wherein the task push module further comprises:
the construction submodule is used for constructing a service keyword and a related mapping word library according to the supervision portrait keyword of the supervision object;
the disassembly matching sub-module is used for disassembling the contents of the collaborative investigation and collaborative task in various forms and matching the contents with the constructed mapping word bank;
the comparison matching submodule is used for comparing the matching content of the disassembled matching submodule with the behavior information of the monitored object one by one and taking the matching content with the optimal comparison result as the optimal matching scheme;
and the task pushing sub-module is used for automatically pushing the collaborative task to the related supervision object according to the matching scheme.
4. The intelligent running system of collaborating and collaborating according to claim 3, wherein the disassembling and matching sub-module performs disassembling of the content of the collaborating and collaborating task in various forms and matches the content with the constructed mapping word bank, and the specific execution process comprises:
firstly, the content of the collaborative task is disassembled to obtain a plurality of task keywords,
then, sorting is carried out according to the occurrence times of a plurality of task keywords,
then, at least three task keywords are selected for permutation and combination,
and finally, respectively matching the results of the permutation and combination with the constructed mapping word stock.
5. The intelligent operation system of claim 3, wherein the task supervision module is preset with a matching rate, and compares the disassembled collaborative task with the supervision image of the supervision object,
when the comparison result exceeds the set matching rate, the supervision object meets the requirement of the collaborative investigation collaborative task, the task supervision module automatically pushes the collaborative investigation collaborative task to the supervision object, and especially supervises the recording process of the collaborative investigation collaborative task executed by the supervision object according to the keywords belonging to the behavior information in the supervision portrait of the supervision object;
when the comparison and search result does not exceed the set matching rate, the supervision object does not meet the requirement of the collaborative search collaborative task, the task supervision module directly sends the result that the supervision object does not meet the collaborative search collaborative task to the task feedback module, and the task supervision module does not supervise the supervision object.
6. The intelligent operation system of claim 5, wherein the task feedback module further analyzes the case source information sorted and screened when the summary result contains illegal violation conditions, and reports and forwards the case source information according to the analysis result.
7. A collaborative intelligent operation method, which is based on the collaborative intelligent operation system claimed in claim 1, and the implementation process of the method includes:
s10, logging in the system by the assistant staff, initiating an assistant task application through the task initiating module, and automatically creating a task file according to the task application after the manual examination is passed;
s20, the collaborating staff analyzes, extracts and integrates the historical data of the monitored object through the resource generation module, and then the monitoring portrait of the monitored object is automatically generated;
s30, the task pushing module automatically acquires the supervision picture keywords of the supervision object and the keywords of the collaborative search collaborative task, and automatically pushes the collaborative search collaborative task to the relevant supervision object according to the keyword comparison result;
s40, based on the supervision portrait of the supervision object, the task supervision module firstly identifies and analyzes the collaborative task received by the supervision object, and then supervises the recording process of the collaborative task executed by the supervision object;
s50, the task feedback module automatically collects the monitoring results of the task monitoring module, the task information sharing module stores the collected results and forms a basic information base for sharing, when the collected results contain illegal violation conditions, the task feedback module automatically generates case source information related to illegal violations, feeds the collected results and the case source information back to the task file created by the task initiating module, the assistant staff checks the task file, and the case source information is classified and screened and then is further sent to related law enforcement agencies through the task feedback module.
8. The intelligent operation method of claim 7, wherein in step S20, the collaborating staff analyzes, extracts and integrates the historical data of the supervision object through the resource generation module, so as to automatically generate the supervision portrait of the supervision object, and the specific implementation steps include:
s21, making a filtering standard and an extraction rule of the data;
s22, extracting historical data of the monitored object on the shared platform in a data docking mode, wherein the historical data of the monitored object comprises and is not limited to the industrial and commercial information, credit evaluation, operation information, qualification authentication information, enterprise ethnic information, network public opinion information and government monitoring information of the monitored object;
and S23, generating a supervision portrait according to the historical data of the supervision object and the time track and the place track, wherein the supervision portrait comprises basic information and behavior information of the supervision object, and the behavior information of the supervision portrait shows major events and important time nodes in the growth process of the supervision object from two dimensions of time and place respectively.
9. The intelligent operation method of claim 8, wherein in step S30, the task pushing module automatically obtains the supervision image keywords of the supervision object and the keywords of the collaborative task, and automatically pushes the collaborative task to the relevant supervision object according to the keyword comparison result, and the specific implementation steps include:
s31, building a service keyword and a related mapping word library according to the supervision portrait keyword of the supervision object;
s32, performing multi-form disassembly on the content of the collaborative task to obtain a plurality of task keywords, sequencing according to the occurrence times of the task keywords, selecting at least three task keywords for permutation and combination, and respectively matching the result of the permutation and combination with the constructed mapping word library;
s33, comparing the matching content with the behavior information of the supervision object one by one, and taking the matching content with the optimal comparison result as the optimal matching scheme;
and S34, automatically pushing the collaborating and dealing tasks to the related supervision objects according to the matching scheme.
10. The intelligent operation method of collaborating and collaborating according to claim 9, wherein in step S40, the task supervision module presets a matching rate, compares the disassembled collaborating task with the supervision portrait of the supervision object,
when the comparison result exceeds the set matching rate, the supervision object meets the requirement of the collaborative investigation collaborative task, the task supervision module automatically pushes the collaborative investigation collaborative task to the supervision object, and especially supervises the recording process of the collaborative investigation collaborative task executed by the supervision object according to the keywords belonging to the behavior information in the supervision portrait of the supervision object;
when the comparison and search result does not exceed the set matching rate, the supervision object does not meet the requirement of the collaborative search collaborative task, the task supervision module directly sends the result that the supervision object does not meet the collaborative search collaborative task to the task feedback module, and the task supervision module does not supervise the supervision object.
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| CN111768176A (en) * | 2020-07-01 | 2020-10-13 | 浪潮云信息技术股份公司 | Joint supervision intelligent management method and system |
| CN112085374A (en) * | 2020-09-04 | 2020-12-15 | 浪潮云信息技术股份公司 | Intelligent monitoring object abnormity self-checking pushing method |
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