A big data management system and method based on industrial Internet

Abstract

The present invention discloses a big data management system and method based on the industrial Internet, which belongs to the field of data management technology. The method is used to solve the technical problem that the existing solutions do not implement multi-dimensional processing and analysis classification of the water event data, resulting in poor subsequent processing and utilization of the water event data. The method effectively shares and screens the water event data reported to the industrial Internet sharing platform in real time to obtain the corresponding identification weights and analyze and screen them, processes the event solution data associated with the updated unconventional event data to obtain the corresponding event location keywords and event cause keywords and sorts and combines them, performs data novelty analysis and screening, processes the event solution data associated with the updated unconventional event data and implements solution novelty analysis, and dynamically updates the sample data storage of the existing event location database based on the data processing and analysis results of different dimensions in the early stage.

Description

Technical Field

[0001] The present invention relates to the technical field of data management, and in particular to a big data management system and method based on industrial Internet. Background Art

[0002] Water data management involves the process of collecting, storing, processing, analyzing and utilizing data related to water resources, water quality, water quantity, etc. The effective implementation of water data management can help water departments better monitor water quality, predict water quantity, optimize water supply and drainage systems, and improve the efficiency of water resource utilization.

[0003] However, when implementing existing water affairs data management solutions, it is impossible to implement multi-dimensional data processing and analysis classification for water affairs event data, and to provide targeted alarm prompts to water affairs entities affected by the event based on the processing results, resulting in poor subsequent processing and utilization of water affairs event data. Summary of the invention

[0004] The purpose of the present invention is to provide a big data management system and method based on the industrial Internet, which is used to solve the technical problem that the existing solutions do not implement multi-dimensional processing and analysis and classification of the water event data, resulting in poor subsequent processing and utilization of the water event data.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A big data management system based on industrial Internet, comprising:

[0007] The water affairs event reporting data screening and processing module is used to effectively screen the water affairs event data reported to the industrial Internet sharing platform in real time, and obtain the shared screening identification data consisting of regular event data or unconventional event data and all selected water affairs departments;

[0008] The water affairs incident solution data statistical processing module is used to use the industrial interconnection sharing platform to monitor and count the event solution data updated by real-time upload of the marked unconventional event data, and to perform multi-dimensional data processing and novelty analysis on the real-time updated event solution data to obtain an unconventional solution processing data set consisting of the first solution analysis data and the second solution analysis data; wherein:

[0009] Obtain the event cause and solution from the event resolution data updated by associating the unconventional event data; perform data processing on the event cause to obtain the corresponding phenomenon data processing array;

[0010] Input the event occurrence location keyword in the phenomenon data processing array into the pre-built event occurrence location database, retrieve and analyze the location novelty corresponding to the event occurrence location through the location recognition model, and output the location novelty analysis identifier; wherein the location novelty analysis identifier includes the values ​​of 0, 1, and 2; mark the obtained location novelty analysis identifier as the first solution analysis data;

[0011] The first solution analysis data is identified and analyzed. If there is a part novelty analysis identifier with a value of 2 in the traversal result, the part novelty analysis identifier is used to process the solution in the event solution data. The text preprocessing technology is used to process and combine the solutions in the event solution data to obtain an actual solution.

[0012] Performing a solution novelty analysis on the actual solution processing scheme to obtain second solution analysis data consisting of a solution conventional label or a solution novelty label and a corresponding solution novelty analysis identification value;

[0013] The event resolution data value assessment management module is used to dynamically update different types of sample data in the existing event location database using the unconventional resolution processing data set, and adaptively push the unconventional event data to all selected water departments for dynamic sharing of data.

[0014] Preferably, the event type in the water affairs event data reported to the industrial interconnection sharing platform in real time is obtained, and the event type is input into the water affairs identification database for traversal retrieval to determine the corresponding identification weight;

[0015] If the value of the identification weight is 0, a regular event label is generated and the corresponding water affairs event data is marked as regular event data without subsequent data processing;

[0016] If the value of the identification weight is 1, an unconventional event label is generated and the corresponding water event data is marked as unconventional event data, and the department to which the event belongs in the unconventional event data is obtained.

[0017] Preferably, the department to which the event belongs is input into the water affairs department database according to the unconventional event tag for traversal search, and all departments that are the same as the department to which the event belongs are obtained and marked as selected water affairs departments;

[0018] Routine event tags or unconventional event tags and all selected water departments constitute shared screening identification data and upload them to the industrial Internet sharing platform.

[0019] Preferably, keyword recognition is performed on the cause of the event and the event location keyword and event cause keyword corresponding to the unconventional event are extracted, and the identified and extracted event location keyword and event cause keyword are sorted and combined to obtain a phenomenon data processing array.

[0020] Preferably, the expression of the part recognition model is:

[0021] Where a is the keyword of the event location, b is the keyword of the event cause; U1 is the keyword set of sample event location in the event location database, and U2 is the keyword set of sample event cause in the event location database.

[0022] Preferably, all sample solutions associated with the same sample event cause keyword in the event occurrence location database are obtained, and the actual solution is sequentially searched with all sample solutions to determine whether there is an actual solution among all sample solutions; if so, a solution routine tag is generated and the associated solution novel analysis identifier value is set to 1;

[0023] If not present, a novelty-solving tag is generated and its associated novelty-solving analysis flag value is set to 0.

[0024] Preferably, the unconventional solution processing data set is traversed, and the first solution analysis data obtained by the traversal is traversed twice, and the value of the solution duration is extracted according to the novel analysis identifier of the part with a value of 0 obtained by the secondary traversal and set as the solution weight and assigned to the corresponding solution, and the assigned solution is associated with the phenomenon data processing array and stored in the event occurrence part database;

[0025] Furthermore, based on the location novelty analysis identifier with a value of 1 obtained through the secondary traversal, the value of the solution duration is extracted and set as the solution weight and assigned to the corresponding solution, and the assigned solution is associated with the event cause keyword and stored in a sample data set associated with the same sample event location keyword in the event location database.

[0026] Preferably, the second solution analysis data obtained by the traversal is traversed twice, and the total number of times the sample solution processing schemes existing in the event occurrence location database are implemented is increased by one according to the solution novel analysis identifier with a value of 1 obtained by the second traversal;

[0027] And according to the solution novel analysis identifier with a value of 0 obtained by the secondary traversal, the actual solution processing scheme is stored in the sample data set associated with the same sample event cause keyword existing in the event occurrence location database.

[0028] Preferably, according to the novel analysis identifier of the part with a value of 0 or 1, the associated event cause and solution are pushed to all selected water departments and prompted; and according to the novel analysis identifier of the solution with a value of 0, the associated solution is pushed to all selected water departments and prompted.

[0029] A big data management method based on industrial Internet, comprising:

[0030] Effective data sharing screening is performed on water affairs event data reported to the industrial Internet sharing platform in real time to obtain shared screening identification data consisting of regular event data or irregular event data and all selected water affairs departments;

[0031] The industrial interconnection sharing platform is used to monitor and count the event resolution data updated by real-time upload of the marked unconventional event data, and multi-dimensional data processing and novelty analysis are performed on the real-time updated event resolution data to obtain an unconventional resolution processing data set consisting of the first resolution analysis data and the second resolution analysis data;

[0032] The unconventional solution processing data set is used to dynamically update the existing event location database with different types of sample data, and the unconventional event data is adaptively pushed to all selected water departments for dynamic sharing of data.

[0033] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0034] The present invention performs effective data sharing screening on water event data reported to the industrial Internet sharing platform in real time to obtain corresponding identification weights and conducts analysis and screening. It can classify the overall sharing value of water event data in the early stage. It can also use the department to which the event corresponding to the unconventional event data belongs to perform department dimension screening to obtain the selected water department, which can provide reliable data support for the targeted sharing and push of subsequent effective water event data.

[0035] The present invention processes the event resolution data associated with the updated unconventional event data to obtain the corresponding event location keywords and event cause keywords and sorts and combines them, and performs data novelty analysis and screening on the location dimension and cause dimension of the phenomenon data processing array obtained in the combination, determines whether the corresponding unconventional event data needs to be stored for subsequent water affairs event sharing and utilization, and improves the reliability and diversity of effective analysis and utilization of data on the occurrence of unconventional event data.

[0036] The present invention processes the event solution data associated with the updated unconventional event data and implements solution novelty analysis, so as to obtain the usable value data of different dimensions in the unconventional event data, and provide reliable data support for the subsequent targeted water event data sharing and push for all selected water departments, thereby improving the diversity and comprehensiveness of water event data processing and analysis.

[0037] The present invention dynamically updates the sample data storage of the existing event location database through the analysis results of data processing in different dimensions in the early stage, and at the same time pushes and prompts the shared data of the available value data of different dimensions obtained by the analysis of unconventional event data to all selected water departments, thereby improving the pertinence and reliability of the sharing and utilization of water event data. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The present invention will be further described below in conjunction with the accompanying drawings.

[0039] Figure 1 This is a module block diagram of a big data management system based on industrial Internet in the present invention.

[0040] Figure 2 This is a flowchart of the first solution for obtaining analytical data in the present invention.

[0041] Figure 3 This is a flowchart of the second solution for obtaining analytical data in the present invention.

[0042] Figure 4 This is a flowchart of a big data management method based on industrial Internet in the present invention. DETAILED DESCRIPTION

[0043] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary operation and maintenance personnel in this field without creative work are within the scope of protection of the present invention.

[0044] Example 1: Figure 1 As shown, the present invention is a big data management system based on the industrial Internet, including a water affairs incident reporting data screening and processing module, a water affairs incident resolution data statistical processing module, an incident resolution data value assessment management module and an industrial Internet sharing platform;

[0045] The water affairs event reporting data screening and processing module is used to effectively screen the water affairs event data reported to the industrial Internet sharing platform in real time, and obtain the shared screening identification data consisting of conventional event data or unconventional event data and all selected water affairs departments; including:

[0046] Obtain the event type in the water affairs event data reported to the industrial interconnection sharing platform in real time, and input the event type into the water affairs identification database for traversal search to determine the corresponding identification weight;

[0047] The event type is determined and marked by the staff who receives the water affairs event feedback data; in addition, a number of sample event types and their corresponding identification weights are pre-stored in the water affairs identification database, and a corresponding identification weight is pre-set for different sample event types. The identification weight is used to digitally represent sample event types of different importance. The specific value of the identification weight can be determined by technicians in this field based on all historical event big data corresponding to the sample event type;

[0048] If the value of the identification weight is 0, a regular event label is generated and the corresponding water affairs event data is marked as regular event data without subsequent data processing;

[0049] If the value of the identification weight is 1, an unconventional event label is generated and the corresponding water affairs event data is marked as unconventional event data, and the department to which the event belongs in the unconventional event data is obtained;

[0050] According to the unconventional event label, the department to which the event belongs is input into the water affairs department database for traversal search, and all departments that are the same as the department to which the event belongs are obtained and marked as the selected water affairs department;

[0051] Among them, the water department database can be compiled and established based on the existing big data of water department organizations in different locations;

[0052] Routine event data or unconventional event data, all selected water departments constitute shared screening identification data and upload them to the industrial interconnection sharing platform;

[0053] In the embodiment of the present invention, by performing effective data sharing screening on the water affairs event data reported to the industrial interconnection sharing platform in real time to obtain the corresponding identification weights and perform analysis and screening, the overall sharing value of the water affairs event data can be classified in the early stage, and at the same time, the department to which the event corresponding to the unconventional event data belongs can be used to perform department dimension screening to obtain the selected water affairs department, which can provide reliable data support for the targeted sharing and push of subsequent effective water affairs event data;

[0054] The water affairs incident solution data statistical processing module is used to use the industrial interconnection sharing platform to monitor and count the event solution data updated by real-time upload of the marked unconventional event data, and to perform multi-dimensional data processing and novelty analysis on the real-time updated event solution data to obtain an unconventional solution processing data set consisting of the first solution analysis data and the second solution analysis data; including:

[0055] like Figure 2 As shown, the event causes and solutions in the event resolution data updated by associating the unconventional event data are obtained; keywords are identified for the event causes and the event occurrence location keywords and event cause keywords corresponding to the unconventional events are extracted, and the identified and extracted event occurrence location keywords and event cause keywords are sorted and combined to obtain a phenomenon data processing array;

[0056] The updated event resolution data is collected by the corresponding water affairs event resolution person in charge and updated in association with the corresponding unconventional event data; the association can be performed based on the unique event number generated by the unconventional event data; the event resolution data includes data including but not limited to the cause of the event and the solution;

[0057] In addition, keyword recognition is an existing conventional recognition technology, and the specific steps are not described here;

[0058] Input the event occurrence location keyword in the phenomenon data processing array into the pre-built event occurrence location database, perform retrieval and analysis on the location novelty corresponding to the event occurrence location through the location recognition model, and output the location novelty analysis identifier;

[0059] Among them, the expression of the part recognition model is:

[0060] Where a is the keyword of the event location, b is the keyword of the event cause; U1 is the keyword set of sample event location in the event location database, and U2 is the keyword set of sample event cause in the event location database;

[0061] Among them, the event location database contains several pre-stored sample event location keyword sets and sample event cause keyword sets, all of which can be deduplicated and screened and combined based on the sample event locations and sample event causes corresponding to all water affairs events that have occurred in history;

[0062] The location novelty analysis flag with a value of 2 indicates that the corresponding event location keyword and event cause keyword are both in the existing sample event location keyword set and sample event cause keyword set;

[0063] Marking the acquired novel analysis mark of the part as the first solution analysis data;

[0064] In the embodiment of the present invention, data processing is performed on the event resolution data updated in association with the unconventional event data to obtain the corresponding event occurrence location keywords and event cause keywords and sort and combine them, and the data novelty analysis and screening of the location dimension and cause dimension are performed on the phenomenon data processing array obtained in the combination to determine whether the corresponding unconventional event data needs to be stored for subsequent water affairs event sharing and utilization, thereby improving the reliability and diversity of effective analysis and utilization of data on the occurrence of unconventional event data.

[0065] like Figure 3 As shown, the first solution analysis data is identified and analyzed. If there is a location novelty analysis identifier with a value of 2 in the traversal result, the location novelty analysis identifier is used to perform data processing and solution novelty analysis on the solution in the event solution data. The text preprocessing technology is used to perform text processing and combination on the solution in the event solution data to obtain an actual solution processing scheme;

[0066] Among them, the text preprocessing technology is an existing commonly used technical solution, including but not limited to commonly used stop word filtering and stem extraction;

[0067] Obtain all sample solutions associated with the same sample event cause keyword in the event occurrence location database, traverse and search the actual solution with all sample solutions in turn, and determine whether there is an actual solution among all sample solutions;

[0068] If it exists, generate a solution regular tag and set its associated solution novel analysis flag value to 1;

[0069] If it does not exist, generate a novelty solution tag and set its associated novelty solution analysis identifier value to 0;

[0070] The conventional solution tag or the novel solution tag and the corresponding novel solution analysis identification value constitute the second solution analysis data;

[0071] The first solution analysis data and the second solution analysis data constitute a non-routine solution processing data set;

[0072] It should be noted that the purpose of performing data processing and solving novel analysis on the solutions in the event resolution data by using the location novel analysis identifier with a value of 2 is that, although the corresponding event location keywords and event cause keywords are both in the existing sample event location keyword set and sample event cause keyword set, the solutions in the corresponding event resolution data may have sharing value, so that the selected water departments in other different location areas can provide targeted data sharing prompts in the solution dimension;

[0073] In the embodiment of the present invention, by processing the event solution data associated with the updated unconventional event data and implementing solution novelty analysis, it is possible to obtain usable valuable data of different dimensions in the unconventional event data, and provide reliable data support for the subsequent targeted sharing and push of water event data for all selected water departments, thereby improving the diversity and comprehensiveness of water event data processing and analysis.

[0074] The event resolution data value assessment management module is used to dynamically update the existing event location database with different types of sample data using the unconventional resolution processing data set, and dynamically push the unconventional event data to all selected water departments for shared data; including:

[0075] Traverse the unconventional solution processing data set, and traverse the first solution analysis data obtained by the traversal for the second time, extract the value of the solution duration according to the novel analysis mark of the part with a value of 0 obtained by the second traversal, set it as the solution weight and assign it to the corresponding solution, associate the assigned solution with the phenomenon data processing array and store it in the event occurrence part database;

[0076] And, according to the location novelty analysis identifier with a value of 1 obtained by the secondary traversal, the value of the duration of the solution is extracted and set as the solution weight and assigned to the corresponding solution, and the assigned solution is associated with the event cause keyword and stored in the sample data set associated with the same sample event location keyword in the event location database;

[0077] Perform a second traversal on the second solution analysis data obtained by the traversal, and increase the total number of implementations of the sample solution processing scheme in the event occurrence location database by one according to the solution novel analysis identifier with a value of 1 obtained by the second traversal; and store the actual solution processing scheme in the sample data set associated with the same sample event cause keyword in the event occurrence location database according to the solution novel analysis identifier with a value of 0 obtained by the second traversal;

[0078] At the same time, according to the novel analysis mark of the part with a value of 0 or 1, the associated event cause and solution will be pushed to all selected water departments and prompted; and according to the novel analysis mark of the solution with a value of 0, the associated solution will be pushed to all selected water departments and prompted.

[0079] In the embodiment of the present invention, the existing event location database is dynamically updated with sample data storage through the results of previous data processing and analysis of different dimensions, and at the same time, the usable value data of different dimensions obtained from the analysis of unconventional event data are targetedly pushed and prompted to all selected water departments for shared data, thereby improving the targetedness and reliability of shared utilization of water event data, avoiding comprehensive shared push of all water event data, which in turn affects the normal shared data learning and utilization of unrelated water departments, resulting in poor subsequent processing and utilization of water event data.

[0080] Example 2: Figure 4 As shown, a big data management method based on industrial Internet includes:

[0081] Effective data sharing screening is performed on water affairs event data reported to the industrial Internet sharing platform in real time to obtain shared screening identification data consisting of regular event data or irregular event data and all selected water affairs departments;

[0082] The industrial interconnection sharing platform is used to monitor and count the event resolution data updated by real-time upload of the marked unconventional event data, and multi-dimensional data processing and novelty analysis are performed on the real-time updated event resolution data to obtain an unconventional resolution processing data set consisting of the first resolution analysis data and the second resolution analysis data;

[0083] The unconventional solution processing data set is used to dynamically update the existing event location database with different types of sample data, and the unconventional event data is adaptively pushed to all selected water departments for dynamic sharing of data.

[0084] In addition, the formulas involved in the above are all dimensionless and numerical calculations. They are a formula that is closest to the actual situation obtained by collecting a large amount of data and simulating it with simulation software.

[0085] In the several embodiments provided by the present invention, it should be understood that the disclosed system and method can be implemented in other ways. For example, the above-described embodiments of the invention are only illustrative, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.

[0086] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0087] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0088] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the basic features of the present invention.

[0089] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, ordinary operation and maintenance personnel in the field should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A big data management system based on industrial Internet, characterized in that: include: The water affairs event reporting data screening and processing module is used to effectively screen the water affairs event data reported to the industrial Internet sharing platform in real time, and obtain the shared screening identification data consisting of regular event data or unconventional event data and all selected water affairs departments; The water affairs incident solution data statistical processing module is used to use the industrial interconnection sharing platform to monitor and count the event solution data updated by real-time upload of the marked unconventional event data, and to perform multi-dimensional data processing and novelty analysis on the real-time updated event solution data to obtain an unconventional solution processing data set consisting of the first solution analysis data and the second solution analysis data; wherein: Obtain the event cause and solution from the event resolution data updated by associating the unconventional event data; perform data processing on the event cause to obtain the corresponding phenomenon data processing array; The event location keyword in the phenomenon data processing array is input into the pre-built event location database, and the location novelty corresponding to the event location is retrieved and analyzed through the location recognition model, and the location novelty analysis identifier is output; wherein, the expression of the location recognition model is: ; Where a is the keyword of the event location, b is the keyword of the event cause; U1 is the keyword set of sample event location in the event location database, and U2 is the keyword set of sample event cause in the event location database; The site novelty analysis flag contains values ​​of 0, 1, and 2; The location novelty analysis identifier with a value of 2 indicates that the corresponding event occurrence location keyword and event cause keyword are both in the existing sample event occurrence location keyword set and sample event cause keyword set; the obtained location novelty analysis identifier is marked as the first solution analysis data; The first solution analysis data is identified and analyzed. If there is a part novelty analysis identifier with a value of 2 in the traversal result, the part novelty analysis identifier is used to process the solution in the event solution data. The text preprocessing technology is used to process and combine the solutions in the event solution data to obtain an actual solution. Performing a solution novelty analysis on the actual solution processing scheme to obtain second solution analysis data consisting of a solution conventional label or a solution novelty label and a corresponding solution novelty analysis identification value; The event resolution data value assessment management module is used to dynamically update different types of sample data in the existing event location database using the unconventional resolution processing data set, and adaptively push the unconventional event data to all selected water departments for dynamic sharing of data.

2. According to the big data management system based on industrial Internet according to claim 1, it is characterized in that: Obtain the event type in the water affairs event data reported to the industrial interconnection sharing platform in real time, and input the event type into the water affairs identification database for traversal search to determine the corresponding identification weight; If the value of the identification weight is 0, a regular event label is generated and the corresponding water affairs event data is marked as regular event data without subsequent data processing; If the value of the identification weight is 1, an unconventional event label is generated and the corresponding water event data is marked as unconventional event data, and the department to which the event belongs in the unconventional event data is obtained.

3. According to the big data management system based on industrial Internet according to claim 2, it is characterized in that: According to the unconventional event label, the department to which the event belongs is input into the water affairs department database for traversal search, and all departments that are the same as the department to which the event belongs are obtained and marked as the selected water affairs department; Routine event tags or unconventional event tags and all selected water departments constitute shared screening identification data and upload them to the industrial Internet sharing platform.

4. The big data management system based on industrial Internet according to claim 1 is characterized in that: Perform keyword recognition on the cause of the event and extract the event location keyword and event cause keyword corresponding to the unconventional event, sort and combine the identified and extracted event location keyword and event cause keyword to obtain a phenomenon data processing array.

5. The big data management system based on industrial Internet according to claim 1 is characterized in that: Obtain all sample solutions associated with the same sample event cause keyword in the event occurrence location database, traverse and search the actual solution with all sample solutions in turn, and determine whether there is an actual solution among all sample solutions; If it exists, generate a solution regular tag and set its associated solution novel analysis flag value to 1; If not present, a novelty-solving tag is generated and its associated novelty-solving analysis flag value is set to 0.

6. The big data management system based on industrial Internet according to claim 1 is characterized in that: Traverse the unconventional solution processing data set, and traverse the first solution analysis data obtained by the traversal for the second time, extract the value of the solution duration according to the novel analysis mark of the part with a value of 0 obtained by the second traversal, set it as the solution weight and assign it to the corresponding solution, associate the assigned solution with the phenomenon data processing array and store it in the event occurrence part database; Furthermore, based on the location novelty analysis identifier with a value of 1 obtained through the secondary traversal, the value of the solution duration is extracted and set as the solution weight and assigned to the corresponding solution, and the assigned solution is associated with the event cause keyword and stored in a sample data set associated with the same sample event location keyword in the event location database.

7. The big data management system based on industrial Internet according to claim 6 is characterized in that: Perform a second traversal on the second solution analysis data obtained by the traversal, and increase the total number of times the sample solution processing schemes existing in the event occurrence location database are implemented by one according to the solution novel analysis identifier with a value of 1 obtained by the second traversal; And according to the solution novel analysis identifier with a value of 0 obtained by the secondary traversal, the actual solution processing scheme is stored in the sample data set associated with the same sample event cause keyword existing in the event occurrence location database.

8. The big data management system based on industrial Internet according to claim 7 is characterized in that: According to the novel analysis mark of the part with a value of 0 or 1, the associated event cause and solution are pushed to all selected water departments and prompted; and according to the novel analysis mark of the solution with a value of 0, the associated solution is pushed to all selected water departments and prompted.

9. A big data management method based on the industrial Internet, applied to a big data management system based on the industrial Internet as claimed in any one of claims 1 to 8, characterized in that: include: Effective data sharing screening is performed on water affairs event data reported to the industrial Internet sharing platform in real time to obtain shared screening identification data consisting of regular event data or irregular event data and all selected water affairs departments; The industrial interconnection sharing platform is used to monitor and count the event resolution data updated by real-time upload of the marked unconventional event data, and multi-dimensional data processing and novelty analysis are performed on the real-time updated event resolution data to obtain an unconventional resolution processing data set consisting of the first resolution analysis data and the second resolution analysis data; The unconventional solution processing data set is used to dynamically update the existing event location database with different types of sample data, and the unconventional event data is adaptively pushed to all selected water departments for dynamic sharing of data.

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