CN116108030A - Enterprise platform data association method based on alliance chain - Google Patents
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Abstract
The invention discloses an enterprise platform data association method based on a alliance chain, which comprises the following steps: an enterprise platform data association method based on a federation chain, comprising: collecting platform content information, processing and classifying, and marking abnormal information; associating the extraction of the characteristic information with a search engine, and associating the whole period of the equipment; setting a plurality of preselected nodes as billing people; setting monitoring and checking for a billing person of a preset node to generate a management task; and importing the next-stage data file into an application system to realize data exchange and sharing flow, and realizing the internal transaction of the alliance chain. The enterprise platform data association method based on the alliance chain enriches the integrity of information through topology, ensures the true reliability of enterprise platform data association by checking node monitoring, saves a great amount of labor cost, ensures the safety and the transaction speed of information, optimizes the controllability of enterprise data information, and judges the credibility of each node of the alliance chain according to the transaction information.
Description
Technical Field
The invention relates to the technical field of enterprise platform data association, in particular to an enterprise platform data association method based on a alliance chain.
Background
Along with entering the information age, the data association requirements to be processed also show an exponential growth, wherein the standardized construction of the data asset and the multidimensional data model is technically divided into three components, namely, the standard construction of the data asset, the construction of a device domain data asset and multidimensional data model list building platform and the construction of a data asset management platform. Most data asset management platform projects in the industry typically weigh the platform light data itself, resulting in a platform that does not achieve inadequate support for the application community of the informationized system. Therefore, we consider that the data initialization and data maintenance mechanisms under the conditions of data standard level, data quality control and unified standardization are more important in the current industry stage.
In the face of such a large number of system interactions and interfacing, the data asset management platform should have a unified integrated interface specification system, otherwise, it is difficult to achieve the construction objective of the data asset management platform; data asset standardization modeling is a key to project success, and only modeling the standards, subsequent data quality, data security, data management, and data sharing can be achieved through platform functions.
The multi-domain data asset resource management refers to the fact that management functions are not developed aiming at specific certain types of data, and can be based on a set of mature data modeling and management technologies, so that the functions of enterprise data resource definition and management are solved to the greatest extent, the system architecture has expandability, the data resource types can be custom-expanded according to service requirements, and the advanced technology embodiment of the data resource management field is realized. Data model management based on MOF specifications is the basis for implementing multi-domain data resource management.
Only easily configured multi-domain, model driven and flexible data resource management techniques can realize value and cost reduction in a shorter time. Flexible multi-domain data resource management can help IT departments to maximize investment value.
Disclosure of Invention
This section is intended to outline some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section as well as in the description summary and in the title of the application, to avoid obscuring the purpose of this section, the description summary and the title of the invention, which should not be used to limit the scope of the invention.
The present invention has been made in view of the above-described problems.
Therefore, the technical problems solved by the invention are as follows: the existing enterprise platform data association method has the problems of insufficient equipment management information, lack of supervision rewards and punishments, high labor cost and optimization of how to effectively associate enterprise platform data of a alliance chain.
In order to solve the technical problems, the invention provides the following technical scheme: an enterprise platform data association method based on a federation chain, comprising:
collecting platform content information, processing and classifying, and marking abnormal information;
associating the extraction of the characteristic information with a search engine, and associating the whole period of the equipment;
setting a plurality of preselected nodes as billing personnel, other access nodes can participate in the transaction, but do not require an accounting process;
setting monitoring and checking for a billing person of a preset node, and uploading evaluation information to a cloud end to generate a management task;
and importing the next-stage data file into an application system to realize data exchange and sharing flow, and realizing the internal transaction of the alliance chain.
The enterprise platform data association method based on the alliance chain is characterized in that: the platform content information includes: combination information, state information, feature information, and basic parameter information.
The enterprise platform data association method based on the alliance chain is characterized in that: the process classification includes:
according to the availability of the information, redundant information is removed, and parameter information and characteristic information are reserved;
the method comprises the steps of dividing major categories and fine categories according to parameter information, wherein the major categories and the fine categories have detailed parameter information;
and carrying out topology according to the parameter information which can be acquired and other information acquired by the cloud, marking the parameter information obtained by the topology, and classifying the parameter information.
The enterprise platform data association method based on the alliance chain is characterized in that: the search engine association and full period association include:
extracting the equipment characteristic information from the equipment information, and carrying out characteristic information search setting on an enterprise platform search engine;
and (3) carrying out whole-course tracking and information uploading on equipment information in the whole period of equipment life, so that an internal person can search the real-time state of each piece of equipment.
The enterprise platform data association method based on the alliance chain is characterized in that: the search engine association further includes:
when the search engine searches the keyword = feature information, directly outputting the matching device;
when the search engine searches the feature information with the keyword not equal to the feature information, judging the keyword:
if the number of times of searching keywords by the search engine reaches 10, analyzing the keywords, judging the corresponding feature types of the keywords, and locking the equipment conforming to the features;
if the number of times of searching keywords by the search engine reaches 5 times and does not reach 10 times, counting the search targets through a platform monitoring port;
if the number of times of searching keywords by the search engine is less than 5, prompting the standard feature requirements of the input port.
The enterprise platform data association method based on the alliance chain is characterized in that: the full period association further comprises:
when the device is in production phase, the demand node can evaluate production activities and transaction details to the outside based on the cycle information:
if the equipment has a large abnormal condition in the production stage, the demand node can evaluate according to the importance and the correction time of the equipment and make a response according to the evaluation;
if the equipment has no larger abnormal condition in the production stage, the demand node can input demands to the equipment according to the expected time;
when the equipment is in an idle state, the available devices in the equipment can be used as standby devices to provide demands according to the idle time and the predicted duration idle time;
and when the equipment is in a working state, carrying out relevance assessment on the capacity of the equipment according to the fault problem and feedback information in the production period.
The enterprise platform data association method based on the alliance chain is characterized in that: setting a plurality of preselected nodes as billing people, comprising:
setting a billing person in a blockchain, and when other non-preset access nodes actively modify the platform information, giving negative modification to an enterprise platform of the alliance chain, and simultaneously asking for the attention of the blockchain billing person:
if the prompting times are more than 5 times, carrying out internal audit on the modified node and reducing the credit coefficient;
if the prompting times are less than 5 times, timely recording and prompting the modifying node to pay attention;
when other non-preset access nodes do not actively modify the platform information, credit addition is performed on the blockchain by combining transaction information,
blockchain credit coefficient:
wherein i is the number of nodes, n is the total number of block chain link points, and k i For the lifetime of inodes in the federation chain, Q i And a is credit addition or next time number, b=1 when the prompting number is more than 5, and b=2 when the prompting number is less than 5.
The enterprise platform data association method based on the alliance chain is characterized in that: the monitoring and inventory tasks include:
according to the transaction information of the alliance chain, log management of the billing person:
when the log difference between the system ledger and the billing person generated by the transaction information of the alliance chain is less than 20%, judging that the error range is allowable;
when the log difference between the system ledger and the billing person generated by the transaction information of the alliance chain is more than 20%, the blockchain where the billing person is located is comprehensively checked and cleared:
if the log record of the billing person is abnormal, submitting all nodes of the alliance chain, and making a processing decision for the billing person; simultaneously locking the abnormal transaction node, and actively modifying the platform information for more than 5 times according to other non-preset access nodes to process;
if the system ledger is abnormal, optimizing and updating the enterprise platform of the alliance chain according to the actual transaction information.
The enterprise platform data association method based on the alliance chain is characterized in that: the data exchange and sharing process comprises the following steps:
the data file is imported in a templated manner:
if the imported file meets the templatization requirement, the exchange of data information is realized;
if the imported file does not meet the templating requirement, carrying out formatting correction on the data content, and if the imported file cannot be corrected, rejecting the data information.
The enterprise platform data association method based on the alliance chain is characterized in that: data association, further comprising:
in the platform, the data are associated and shared, and cloud data of other systems are acquired at the same time; in the case of a match of the data,
if the difference between the related data in the platform and the data cloud data of other systems exceeds 50%, comparing and analyzing the abnormal information;
if the difference between the data cloud data of the related data in the platform and the data cloud data of other systems is in a reasonable range, judging that the enterprise platform data of the alliance chain is effectively related.
The invention has the beneficial effects that: the enterprise platform data association method based on the alliance chain enriches the integrity of information through topology, ensures the true reliability of enterprise platform data association by checking node monitoring, saves a great amount of labor cost and time loss, ensures the safety and transaction speed of information through the control of the alliance chain, optimizes the controllability of enterprise data information, and judges the reliability of each node of the alliance chain according to transaction information.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
FIG. 1 is a general flow chart of an enterprise platform data association method based on federated chains, provided in one embodiment of the present invention;
fig. 2 is a data association diagram of an enterprise platform data association method based on a federation chain according to a second embodiment of the present invention.
Detailed Description
So that the manner in which the above recited objects, features and advantages of the present invention can be understood in detail, a more particular description of the invention, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present invention is not limited to the specific embodiments disclosed below.
Further, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic can be included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
While the embodiments of the present invention have been illustrated and described in detail in the drawings, the cross-sectional view of the device structure is not to scale in the general sense for ease of illustration, and the drawings are merely exemplary and should not be construed as limiting the scope of the invention. In addition, the three-dimensional dimensions of length, width and depth should be included in actual fabrication.
Also in the description of the present invention, it should be noted that the orientation or positional relationship indicated by the terms "upper, lower, inner and outer", etc. are based on the orientation or positional relationship shown in the drawings, are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the apparatus or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first, second, or third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected, and coupled" should be construed broadly in this disclosure unless otherwise specifically indicated and defined, such as: can be fixed connection, detachable connection or integral connection; it may also be a mechanical connection, an electrical connection, or a direct connection, or may be indirectly connected through an intermediate medium, or may be a communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
Example 1
Referring to fig. 1, for one embodiment of the present invention, there is provided an enterprise platform data association method based on federation chains, including:
s1: collecting platform content information, processing and classifying, and marking abnormal information;
further, the method comprises the following steps: the platform content information includes: combination information, state information, feature information, and basic parameter information.
The processing classification includes: according to the availability of the information, redundant information is removed, and parameter information and characteristic information are reserved;
the method comprises the steps of dividing major categories and fine categories according to parameter information, wherein the major categories and the fine categories have detailed parameter information;
and carrying out topology according to the parameter information which can be acquired and other information acquired by the cloud, marking the parameter information obtained by the topology, and classifying the parameter information.
It should be noted that, the completion of parameters is performed by means of topology, so as to ensure that the devices are classified under the consideration of detailed parameters, and ensure the integrity of enterprise platform data of the federation chain, so as to facilitate the association of nodes in the federation chain.
S2: associating the extraction of the characteristic information with a search engine, and associating the whole period of the equipment;
extracting the equipment characteristic information from the equipment information, and carrying out characteristic information search setting on an enterprise platform search engine;
when the search engine searches the keyword = feature information, directly outputting the matching device;
when the search engine searches the feature information with the keyword not equal to the feature information, judging the keyword:
if the number of times of searching keywords by the search engine reaches 10, analyzing the keywords, judging the corresponding feature types of the keywords, and locking the equipment conforming to the features;
if the number of times of searching keywords by the search engine reaches 5 times and does not reach 10 times, counting the search targets through a platform monitoring port;
if the number of times of searching keywords by the search engine is less than 5, prompting the standard feature requirements of the input port.
It should be noted that, when the index engine searches for keywords for 5 times and not 10 times, statistics is performed on the search targets through the platform monitoring port, and after ten times are achieved, feature information is directly matched according to the statistical information, so that the intelligence and timeliness of the enterprise platform data association method of the alliance chain are realized, and the search requirement is met.
And (3) carrying out whole-course tracking and information uploading on equipment information in the whole period of equipment life, so that an internal person can search the real-time state of each piece of equipment.
When the device is in production phase, the demand node can evaluate production activities and transaction details to the outside based on the cycle information:
if the equipment has a large abnormal condition in the production stage, the demand node can evaluate according to the importance and the correction time of the equipment and make a response according to the evaluation;
if the equipment has no larger abnormal condition in the production stage, the demand node can input demands to the equipment according to the expected time;
when the equipment is in an idle state, the available devices in the equipment can be used as standby devices to provide demands according to the idle time and the predicted duration idle time;
and when the equipment is in a working state, carrying out relevance assessment on the capacity of the equipment according to the fault problem and feedback information in the production period.
It should be noted that, in the whole life cycle of the device, the device information is tracked and uploaded in the whole process, so that the available parts of the idle or abandoned devices can be recycled or scheduled, and the high utilization rate and the high recycling value of the devices are realized.
S3: setting a plurality of preselected nodes as billing personnel, other access nodes can participate in the transaction, but do not require an accounting process;
setting monitoring and checking for a billing person of a preset node, and uploading evaluation information to a cloud end to generate a management task;
and importing the next-stage data file into an application system to realize data exchange and sharing flow, and realizing the internal transaction of the alliance chain.
Setting a billing person in a blockchain, and when other non-preset access nodes actively modify the platform information, giving negative modification to an enterprise platform of the alliance chain, and simultaneously asking for the attention of the blockchain billing person:
if the prompting times are more than 5 times, carrying out internal audit on the modified node and reducing the credit coefficient;
if the prompting times are less than 5 times, timely recording and prompting the modifying node to pay attention;
when other non-preset access nodes do not actively modify the platform information, credit addition is performed on the blockchain by combining transaction information,
blockchain credit coefficient:
where i is the number of nodes, n is the total number of block chain links, ki is the duration of the inode in the coalition chain, qi is the transaction number of inodes, a is the credit addition or next time, b=1 when the number of prompts is greater than 5, and b=2 when the number of prompts is less than 5.
According to the transaction information of the alliance chain, log management of the billing person:
when the log difference between the system ledger and the billing person generated by the transaction information of the alliance chain is less than 20%, judging that the error range is allowable;
when the log difference between the system ledger and the billing person generated by the transaction information of the alliance chain is more than 20%, the blockchain where the billing person is located is comprehensively checked and cleared:
if the log record of the billing person is abnormal, submitting all nodes of the alliance chain, and making a processing decision for the billing person; simultaneously locking the abnormal transaction node, and actively modifying the platform information for more than 5 times according to other non-preset access nodes to process;
if the system ledger is abnormal, optimizing and updating the enterprise platform of the alliance chain according to the actual transaction information.
It should be noted that by using supervision and monitoring of preset node billing personnel, reliability and standardization of transaction information, and control and grasping of the blockchain of transaction processes are helpful for further improving the efficiency of notarization, settlement clearing business and value exchange networks in their circle of industry chains.
S4: data exchange and sharing is performed, including:
the data file is imported in a templated manner:
if the imported file meets the templatization requirement, the exchange of data information is realized;
if the imported file does not meet the templating requirement, carrying out formatting correction on the data content, and if the imported file cannot be corrected, rejecting the data information.
It should be noted that, in the platform, the data are associated and shared, and the cloud data of other systems are acquired at the same time; under the condition of data matching, if the difference between the related data in the platform and the data cloud data of other systems exceeds 50%, comparing and analyzing the abnormal information; if the difference between the data cloud data of the related data in the platform and the data cloud data of other systems is in a reasonable range, judging that the enterprise platform data of the alliance chain is effectively related.
Example 2
Referring to fig. 2, for one embodiment of the present invention, an enterprise platform data association method based on a federation chain is provided, and in order to verify the beneficial effects of the present invention, scientific demonstration is performed through economic benefit calculation and simulation experiments.
Scenario 1: the search engine searches feature information, the number of blockchain links in a alliance chain is 10, a preset accounting person is 1, the number of target devices is 10, the number of node modification times is 6, the number of transactions of each node is 1, and the year is 1 year.
Firstly, collecting platform content information, and removing redundant information retention parameter information and characteristic information; classifying the devices and reclassifying the topology without detailed information; the search engine searches feature information as a keyword, finds matching equipment, judges that the equipment belongs to 10 commodities to be sold according to the equipment information, judges that the demand is matched with a target according to the equipment information, imports an order data file in a templatized mode, realizes data association, and realizes quick transaction in a alliance chain.
After the transaction information is finished, the demand node of the non-billing person modifies the transaction information ledger for 6 times, and at the moment, the modification node is subjected to internal audit of the enterprise platform and the credit coefficient is reduced.
Blockchain credit coefficient at this point:
scenario 2: the search engine searches characteristic information, the number of blockchain links in a alliance chain is 10, a preset accounting is 1, 1 target device is 1, the output rating of 10 output is inversely proportional to the 2 years of the device, the number of node modification times is 0, the number of transaction times of each node is 1, and the years are 1 year.
Firstly, collecting platform content information, and removing redundant information retention parameter information and characteristic information; classifying the devices and reclassifying the topology without detailed information; the search engine searches the keywords of the characteristic information of the products, finds the matching equipment and the productivity parameters to judge the productivity, judges the requirement according to the equipment information, judges that the requirement is matched with the target according to the equipment information, imports the order data file in a templatized mode, realizes data association, and realizes quick transaction in a alliance chain.
After the transaction information is finished, the demand node of the non-billing person modifies the transaction information ledger for 0 times, and credit addition is carried out on the blockchain by combining the transaction information.
Blockchain credit coefficient:
it should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention may be modified or substituted without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered in the scope of the claims of the present invention.
Claims (10)
1. An enterprise platform data association method based on a alliance chain is characterized by comprising the following steps:
collecting platform content information, processing and classifying, and marking abnormal information;
associating the extraction of the characteristic information with a search engine, and associating the whole period of the equipment;
setting a plurality of preselected nodes as billing personnel, other access nodes can participate in the transaction, but do not require an accounting process;
setting monitoring and checking for a billing person of a preset node, and uploading evaluation information to a cloud end to generate a management task;
and importing the next-stage data file into an application system to realize data exchange and sharing flow, and realizing the internal transaction of the alliance chain.
2. The federation chain-based enterprise platform data association method of claim 1, wherein: the platform content information includes: combination information, state information, feature information, and basic parameter information.
3. The federation chain-based enterprise platform data association method of claim 1 or 2, wherein: the process classification includes:
according to the availability of the information, redundant information is removed, and parameter information and characteristic information are reserved;
the method comprises the steps of dividing major categories and fine categories according to parameter information, wherein the major categories and the fine categories have detailed parameter information;
and carrying out topology according to the parameter information which can be acquired and other information acquired by the cloud, marking the parameter information obtained by the topology, and classifying the parameter information.
4. The federation chain-based enterprise platform data association method of claim 3, wherein: the search engine association and full period association include:
extracting the equipment characteristic information from the equipment information, and carrying out characteristic information search setting on an enterprise platform search engine;
and (3) carrying out whole-course tracking and information uploading on equipment information in the whole period of equipment life, so that an internal person can search the real-time state of each piece of equipment.
5. The federation chain-based enterprise platform data association method of claim 4, wherein: the search engine association further includes:
when the search engine searches the keyword = feature information, directly outputting the matching device;
when the search engine searches the feature information with the keyword not equal to the feature information, judging the keyword:
if the number of times of searching keywords by the search engine reaches 10, analyzing the keywords, judging the corresponding feature types of the keywords, and locking the equipment conforming to the features;
if the number of times of searching keywords by the search engine reaches 5 times and does not reach 10 times, counting the search targets through a platform monitoring port;
if the number of times of searching keywords by the search engine is less than 5, prompting the standard feature requirements of the input port.
6. The federation chain-based enterprise platform data association method of claim 4 or 5, wherein: the full period association further comprises:
when the device is in production phase, the demand node can evaluate production activities and transaction details to the outside based on the cycle information:
if the equipment has a large abnormal condition in the production stage, the demand node can evaluate according to the importance and the correction time of the equipment and make a response according to the evaluation;
if the equipment has no larger abnormal condition in the production stage, the demand node can input demands to the equipment according to the expected time;
when the equipment is in an idle state, the available devices in the equipment can be used as standby devices to provide demands according to the idle time and the predicted duration idle time;
and when the equipment is in a working state, carrying out relevance assessment on the capacity of the equipment according to the fault problem and feedback information in the production period.
7. The federation chain-based enterprise platform data association method of claim 6, wherein: setting a plurality of preselected nodes as billing people, comprising:
setting a billing person in a blockchain, and when other non-preset access nodes actively modify the platform information, giving negative modification to an enterprise platform of the alliance chain, and simultaneously asking for the attention of the blockchain billing person:
if the prompting times are more than 5 times, carrying out internal audit on the modified node and reducing the credit coefficient;
if the prompting times are less than 5 times, timely recording and prompting the modifying node to pay attention;
when other non-preset access nodes do not actively modify the platform information, credit addition is performed on the blockchain by combining transaction information,
blockchain credit coefficient:
wherein i is the number of nodes, n is the total number of block chain link points, and k i For the lifetime of inodes in the federation chain, Q i And a is credit addition or next time number, b=1 when the prompting number is more than 5, and b=2 when the prompting number is less than 5.
8. The federation chain-based enterprise platform data association method of claim 6 or 7, wherein: the monitoring and inventory tasks include:
according to the transaction information of the alliance chain, log management of the billing person:
when the log difference between the system ledger and the billing person generated by the transaction information of the alliance chain is less than 20%, judging that the error range is allowable;
when the log difference between the system ledger and the billing person generated by the transaction information of the alliance chain is more than 20%, the blockchain where the billing person is located is comprehensively checked and cleared:
if the log record of the billing person is abnormal, submitting all nodes of the alliance chain, and making a processing decision for the billing person; simultaneously locking the abnormal transaction node, and actively modifying the platform information for more than 5 times according to other non-preset access nodes to process;
if the system ledger is abnormal, optimizing and updating the enterprise platform of the alliance chain according to the actual transaction information.
9. The federation chain-based enterprise platform data association method of claim 1, wherein: the data exchange and sharing process comprises the following steps:
the data file is imported in a templated manner:
if the imported file meets the templatization requirement, the exchange of data information is realized;
if the imported file does not meet the templating requirement, carrying out formatting correction on the data content, and if the imported file cannot be corrected, rejecting the data information.
10. The federation chain-based enterprise platform data association method of claim 9, wherein: data association, further comprising:
in the platform, the data are associated and shared, and cloud data of other systems are acquired at the same time; in the case of a match of the data,
if the difference between the related data in the platform and the data cloud data of other systems exceeds 50%, comparing and analyzing the abnormal information;
if the difference between the data cloud data of the related data in the platform and the data cloud data of other systems is in a reasonable range, judging that the enterprise platform data of the alliance chain is effectively related.
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| CN117675206B (en) * | 2024-02-01 | 2024-04-05 | 长沙数智科技集团有限公司 | Comprehensive management service platform based on smart city government affair data and data management method |
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