CN112633782A - Enterprise data management method and system based on Internet of things - Google Patents
Enterprise data management method and system based on Internet of things Download PDFInfo
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Abstract
The invention provides an enterprise data management method and system based on the Internet of things, wherein the method comprises the following steps: step 1: establishing a communication connection between an enterprise data management platform and an enterprise end of a target enterprise based on the technology of the Internet of things; step 2: determining a business object of a target enterprise, and calling corresponding enterprise resource data based on an enterprise data management platform; and step 3: determining a management user of the enterprise data management platform, comparing the management authority of the management user with a first preset condition, and simultaneously comparing the enterprise resource data with a second preset condition to perform data management on the enterprise resource data. Through double comparison of management authority and resource data, effective management of the data is achieved, and effectiveness and accuracy of data management are improved.
Description
Technical Field
The invention relates to the technical field of data management, in particular to an enterprise data management method and system based on the Internet of things.
Background
With the change of market and user demand, enterprises can generate a large amount of extra data on the basis of meeting the market and user demands, but in the process of managing the data, the data in the enterprises are generally managed simply by people, and in the management process, the data are generally simply built on an established frame to realize the management of the data.
Therefore, the invention provides an enterprise data management method and system based on the Internet of things.
Disclosure of Invention
The invention provides an enterprise data management method and system based on the Internet of things, which are used for realizing effective management of data through double comparison of management authority and resource data, and further improving effectiveness and accuracy of data management.
The invention provides an enterprise data management method based on the Internet of things, which comprises the following steps:
step 1: establishing a communication connection between an enterprise data management platform and an enterprise end of a target enterprise based on the technology of the Internet of things;
step 2: determining a business object of the target enterprise, and calling corresponding enterprise resource data based on the enterprise data management platform;
and step 3: determining a management user of the enterprise data management platform, comparing the management authority of the management user with a first preset condition, and simultaneously comparing the enterprise resource data with a second preset condition to perform data management on the enterprise resource data.
In a possible implementation manner, in step 1, based on the technology of internet of things, a communication connection between an enterprise data management platform and an enterprise end of a target enterprise is established, including:
establishing an identification list of the enterprise data management platform, and establishing an enterprise identification of the enterprise terminal;
acquiring a first connection request sent by the enterprise terminal, wherein the first connection request carries a corresponding enterprise identifier;
based on the technology of the Internet of things, the first connection request is sent to the enterprise data management platform, and meanwhile, the carried corresponding enterprise identification is matched with each sub-identification in the identification list;
if the successfully matched sub-identifiers exist, the enterprise data management platform sends second connection requests of all the successfully matched sub-identifiers to the corresponding enterprise terminals on the basis of the Internet of things technology;
tracking the receiving process of all second connection requests received by the corresponding enterprise terminal, and carrying out matching degree analysis on each second connection request and the first connection request;
screening the optimal connection request from all the second connection requests according to the matching degree analysis result and the tracking result in the receiving process;
judging whether the optimal connection request meets a preset rule of the first connection request;
if yes, establishing communication connection between the enterprise data management platform and a corresponding enterprise terminal;
otherwise, the communication connection between the enterprise data management platform and the enterprise end of the target enterprise is not established.
In a possible implementation manner, in step 2, determining a business object of the target enterprise, and invoking corresponding enterprise resource data based on the enterprise data management platform includes:
acquiring an enterprise file of the target enterprise, and dividing the enterprise file into a plurality of data blocks, wherein the data blocks comprise: project block data, knowledge block data, and financial block data;
recording whether the block content in each data block is missing or not;
if yes, judging the scene difference between the actual operation scene and the standard operation scene of the data block, calling supplementary data related to the scene difference from a difference database, and filling the supplementary data to the missing position;
meanwhile, the missing content is judged and the association relation between each data block is determined,
acquiring to-be-processed contents related to missing contents from a resource database, preprocessing the to-be-processed contents according to the association relation to obtain effective contents, and filling the effective contents to the missing positions;
if the block content is not missing or the missing position is filled, determining the service scene of each block data, and distributing a corresponding service object to each service scene;
and calling corresponding enterprise resource data from a resource database based on the business object and the enterprise data management platform.
In a possible implementation manner, the determining, in step 3, an administrative user of the enterprise data management platform includes:
recording input information input by a user to be determined based on a login interface of the enterprise data management platform, wherein the input information comprises: a login account and a login password;
if the input information is matched with preset information, entering an initial interface of the enterprise data management platform, and meanwhile, automatically calling a historical management record of the user to be determined according to the input information;
and sorting the historical management records into a plurality of sub-options, outputting the sub-options to a first interface for the user to be determined to select, and outputting a plurality of management steps of the selected sub-items to a second interface after the user to be determined successfully selects.
Recording the selection sorting of the user to be determined to the management step based on the second interface, and judging whether the selection sorting result is consistent with the original management step or not according to the selection sorting result;
if the user to be determined is consistent with the management user, judging that the user to be determined is the management user;
otherwise, logging out from the second interface to a login interface.
In a possible implementation manner, in step 3, comparing the management authority of the management user with a first preset condition, and simultaneously comparing the enterprise resource data with a second preset condition to perform data management on the enterprise resource data, the method includes:
determining an authority set of the management user, comparing each authority in the authority set with a first preset condition, and judging whether each authority meets the first preset condition;
classifying the enterprise resource data, respectively monitoring the project progress of each classified project, further performing risk assessment on each project, and simultaneously performing project assessment on each classified project;
judging whether the enterprise resource data meet a second preset condition or not based on a risk evaluation result and a project assessment result;
when each authority in the comparison result meets a first preset condition and the enterprise resource data meets a second preset condition, performing data management on the enterprise resource data according to a first preset mode;
otherwise, performing data management on the enterprise resource data according to a second preset mode.
In one possible implementation, the plurality of sub-options includes a history management item and a disturbance management item, and the sequence of the management steps is random.
In a possible implementation manner, in step 2, determining the business object of the target enterprise includes:
traversing historical logs of an enterprise terminal related to the target enterprise;
clustering the historical logs to obtain a plurality of types of logs, and meanwhile, determining that each log in each type of logs is based on the current address of the enterprise terminal;
performing centralized processing on the current address of each log in the similar logs, and determining a centralized address segment and a scattered address segment of the similar logs;
judging whether the first section attribute of the centralized address section and the second section attribute of the scattered address section are matched with the log type of each corresponding log;
if the log is matched with the original address, continuously keeping each corresponding log at the original address;
otherwise, calibrating the unmatched first log and the first address of the first log, and searching the address to be placed related to the unmatched first log;
transferring the unmatched first log to the address to be placed, releasing the content of the first address and establishing an index for the first address;
judging a transfer object of the transfer log according to the address attribute of the first address for establishing the index and the address attribute of the address to be placed;
judging an untransferred object of the untransferred log according to the address attribute continuously reserved in the original address;
meanwhile, an object business table pre-established by the target enterprise is obtained, and a main object and a secondary object in the object business table are calibrated;
and fusing the transferred object, the non-transferred object, the main object and the secondary object to obtain a service object.
In one possible implementation manner, after transferring the unmatched first log to the address to be placed, the method further includes: judging the rationality of transferring the unmatched first log to the address to be placed, and the judging the rationality comprises the following steps:
determining a first location distribution of a first address for establishing an index in the centralized address section and a second location distribution of the first address for establishing an index in the distributed address section, wherein the centralized address section comprises n1 first subsections, and the distributed address section comprises n2 second subsections;
calculating a comprehensive influence value Z of the first address of the unmatched first log on the centralized address field and the scattered address field according to the following formula;
wherein the content of the first and second substances,
indicating a first location occupancy of the first address in the ith first subsegment determined based on the first location distribution;
determining a first weight of the first address in the ith first subsegment based on the first position distribution;
a second location proportion of a second address determined based on the second location distribution in a jth second subsegment;
a second weight of the second address at the jth second subsegment determined based on the second location distribution; k1 represents the number of first subsections involved in the distribution of the first address in the collective address section; k2 indicates the number of second subsections involved in the distribution of the first address in the scattered address section;
indicating the third position occupation ratio of the first address in the first subsection involved in the k1 th address;
a third weight representing the first address in the first subsection referred to at the k1 th;
indicating the fourth position occupation ratio of the first address in the k2 th related second subsegment;
a fourth weight indicating that the first address is in the second subsection referred to at the k2 th;
calculating a comprehensive effective value S of the address to be placed according to the following formula;
wherein L represents the total position number of the address to be placed;
a location space value representing the address to be placed for the p-th location;
an invalid space value representing the address to be placed at the p-th location;
the weighted value of the address to be placed at the p-th position is represented, and the value range is [0.1, 1 ]]；
The number of the positions of the corresponding first address in the first subsection related to the k1 th subsection is shown;
the number of the positions of the corresponding first addresses in the second subsegment related to the k2 th addresses is represented, wherein each address to be placed corresponds to one position;
judging whether a mapping relation exists between the comprehensive influence value Z and the comprehensive effective value S or not based on a mapping relation table;
if yes, judging that the first log which is not matched is reasonably transferred to the address to be placed according to the mapping relation;
otherwise, calling a first relation related to the comprehensive influence value Z and calling a second relation related to the comprehensive effective value S from the mapping relation table;
and adjusting the address to be placed according to the first relation and the second relation.
The invention provides an enterprise data management system based on the Internet of things, which comprises:
the building module is used for building communication connection between the enterprise data management platform and an enterprise end of a target enterprise based on the Internet of things technology;
the calling module is used for determining the business object of the target enterprise and calling corresponding enterprise resource data based on the enterprise data management platform;
and the management module is used for determining a management user of the enterprise data management platform, and performing data management on the enterprise resource data when the management authority of the management user meets a first preset condition and the enterprise resource data meets a second preset condition.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart of an enterprise data management method based on the internet of things according to an embodiment of the present invention;
fig. 2 is a structural diagram of an enterprise data management system based on the internet of things in the embodiment of the present invention;
FIG. 3 is a block diagram of a centralized address segment and a distributed address segment according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example 1:
the invention provides an enterprise data management method based on the Internet of things, which comprises the following steps as shown in figure 1:
step 1: establishing a communication connection between an enterprise data management platform and an enterprise end of a target enterprise based on the technology of the Internet of things;
step 2: determining a business object of the target enterprise, and calling corresponding enterprise resource data based on the enterprise data management platform;
and step 3: determining a management user of the enterprise data management platform, comparing the management authority of the management user with a first preset condition, and simultaneously comparing the enterprise resource data with a second preset condition to perform data management on the enterprise resource data.
In this embodiment, the communication connection is established so that the edge enterprise data management platform and the enterprise end can perform mutual data transmission.
In this embodiment, the business object of the target enterprise may be, for example, a project related to an approval project, a research and development project, or the like.
In this embodiment, the enterprise resource data refers to data generated during the operation process of an enterprise, for example, a whole process of research and development of a certain project is as follows: project establishment, project starting, project scheduling, project acceptance and the like.
In this embodiment, the management user refers to a user with a management right, the first preset condition is, for example, an account password, and the like, when the user can log in the account password, the user has the management right, and the second preset condition is, for example, a condition that a data risk degree of the enterprise resource data is lower than a preset risk.
The beneficial effects of the above technical scheme are: through double comparison of management authority and resource data, effective management of the data is achieved, and effectiveness and accuracy of data management are improved.
Example 2:
on the basis of embodiment 1, in step 1, based on the internet of things technology, the communication connection between the enterprise data management platform and the enterprise end of the target enterprise is established, and the method includes the following steps:
establishing an identification list of the enterprise data management platform, and establishing an enterprise identification of the enterprise terminal;
acquiring a first connection request sent by the enterprise terminal, wherein the first connection request carries a corresponding enterprise identifier;
based on the technology of the Internet of things, the first connection request is sent to the enterprise data management platform, and meanwhile, the carried corresponding enterprise identification is matched with each sub-identification in the identification list;
if the successfully matched sub-identifiers exist, the enterprise data management platform sends second connection requests of all the successfully matched sub-identifiers to the corresponding enterprise terminals on the basis of the Internet of things technology;
tracking the receiving process of all second connection requests received by the corresponding enterprise terminal, and carrying out matching degree analysis on each second connection request and the first connection request;
screening the optimal connection request from all the second connection requests according to the matching degree analysis result and the tracking result in the receiving process;
judging whether the optimal connection request meets a preset rule of the first connection request;
if yes, establishing communication connection between the enterprise data management platform and a corresponding enterprise terminal;
otherwise, the communication connection between the enterprise data management platform and the enterprise end of the target enterprise is not established.
In this embodiment, the enterprise data management platform may establish communication connection with a plurality of enterprise terminals, and when establishing communication connection with different enterprise terminals or an enterprise terminal that wants to pass through at different times, a new identifier is generated, where the identifier indicates the identifier of the enterprise terminal corresponding to the platform in communication connection, so as to obtain an identifier list, and each identifier may be regarded as a sub-identifier.
In this embodiment, the enterprise id is a unique id that can represent the enterprise side.
In this embodiment, the first connection request is a connection request sent by the enterprise and requiring communication with the platform, and the second connection request is a connection request sent by the platform and requiring authentication of the enterprise.
In this embodiment, the receiving process refers to a process in which the enterprise side receives the second connection request, for example, a problem such as a communication failure in the receiving process may be regarded as a tracking result, and a transmission line may also be regarded as a tracking result.
In this embodiment, the matching degree analysis of the first connection request and the second connection request is performed to ensure the consistency of the two connection requests, and further provide a basis for subsequent effective communication.
In this embodiment, the predetermined rule is preset, and the optimal connection request is selected from the plurality of second connection requests, for example, the optimal connection request is selected according to a tracking result, such as a fast communication speed.
The beneficial effects of the above technical scheme are: the first connection request is sent by the enterprise terminal to be matched with the sub-identifier of the platform, the platform sends a second connection request to the enterprise terminal according to the successfully matched sub-identifier, and the validity of communication establishment is guaranteed through bidirectional verification, so that a communication basis is provided for subsequent data management.
Example 3:
based on embodiment 1, in step 2, determining the business object of the target enterprise, and calling corresponding enterprise resource data based on the enterprise data management platform includes:
acquiring an enterprise file of the target enterprise, and dividing the enterprise file into a plurality of data blocks, wherein the data blocks comprise: project block data, knowledge block data, and financial block data;
recording whether the block content in each data block is missing or not;
if yes, judging the scene difference between the actual operation scene and the standard operation scene of the data block, calling supplementary data related to the scene difference from a difference database, and filling the supplementary data to the missing position;
meanwhile, the missing content is judged and the association relation between each data block is determined,
acquiring to-be-processed contents related to missing contents from a resource database, preprocessing the to-be-processed contents according to the association relation to obtain effective contents, and filling the effective contents to the missing positions;
if the block content is not missing or the missing position is filled, determining the service scene of each block data, and distributing a corresponding service object to each service scene;
and calling corresponding enterprise resource data from a resource database based on the business object and the enterprise data management platform.
In this embodiment, the actual operation scenario refers to an operation environment for processing the data block, and the standard operation scenario is debugged in advance.
In this embodiment, the scene difference refers to a difference between an actual operation scene and a standard operation scene generated in an operation process.
In this embodiment, the supplemental data is data that is specific to the scene and is used to supplement the proprietary data existing in the scene, such as a proprietary function.
In this embodiment, the missing content may be determined after the a data is run based on the standard running environment and after the same a data is run based on the actual running scenario.
In this embodiment, the missing content includes: the data is true when external data is simply collected.
In this embodiment, the content to be processed and the missing content are not necessarily completely consistent, and they are preprocessed by obtaining an association relationship, for example, an influence relationship of item block data on knowledge block data.
In this embodiment, the preprocessing may be based on influence relationships, modifying certain data, and the like.
In this embodiment, the business scenario is related to project, finance, knowledge, and the like.
The beneficial effects of the above technical scheme are: the scene difference related data is supplemented by judging whether the content of the recording block is missing or not, effective data is obtained for supplementing again through the to-be-processed content and the association relation of the missing content, and the integrity of the missing data after the supplementation is ensured through the two times of supplementation, so that convenience is brought to subsequent data management.
Example 4:
based on embodiment 1, in step 3, determining a management user of the enterprise data management platform includes:
recording input information input by a user to be determined based on a login interface of the enterprise data management platform, wherein the input information comprises: a login account and a login password;
if the input information is matched with preset information, entering an initial interface of the enterprise data management platform, and meanwhile, automatically calling a historical management record of the user to be determined according to the input information;
and sorting the historical management records into a plurality of sub-options, outputting the sub-options to a first interface for the user to be determined to select, and outputting a plurality of management steps of the selected sub-items to a second interface after the user to be determined successfully selects.
Recording the selection sorting of the user to be determined to the management step based on the second interface, and judging whether the selection sorting result is consistent with the original management step or not according to the selection sorting result;
if the user to be determined is consistent with the management user, judging that the user to be determined is the management user;
otherwise, logging out from the second interface to a login interface.
In one possible implementation, the plurality of sub-options includes a history management item and a disturbance management item, and the sequence of the management steps is random.
The beneficial effects of the above technical scheme are: the account password is subjected to primary verification, secondary verification is performed through selection of the sub options, and finally verification is performed for three times through selection of the management steps, so that the user is ensured to be a management user, and convenience is provided for subsequent permission comparison.
Example 5:
based on embodiment 1, in step 3, comparing the management authority of the management user with a first preset condition, and comparing the enterprise resource data with a second preset condition to perform data management on the enterprise resource data, the method includes:
determining an authority set of the management user, comparing each authority in the authority set with a first preset condition, and judging whether each authority meets the first preset condition;
classifying the enterprise resource data, respectively monitoring the project progress of each classified project, further performing risk assessment on each project, and simultaneously performing project assessment on each classified project;
judging whether the enterprise resource data meet a second preset condition or not based on a risk evaluation result and a project assessment result;
when each authority in the comparison result meets a first preset condition and the enterprise resource data meets a second preset condition, performing data management on the enterprise resource data according to a first preset mode;
otherwise, performing data management on the enterprise resource data according to a second preset mode.
In this embodiment, the set of permissions includes: management of certain types of data, administrative privileges for a target enterprise in a certain area, etc.
In this embodiment, the first preset condition is, for example: the system has management of type A data and management of B area target enterprises.
In this embodiment, the second preset condition is, for example, that the second preset condition is less than the first level risk, and the assessment result is greater than the a level.
In this embodiment, the first preset mode refers to management according to a normal management mode, and the second preset mode, for example, is based on the normal management mode, and supplements related content of risk management.
The beneficial effects of the above technical scheme are: whether the second preset condition is met or not is judged by comparing each authority with the first preset condition and classifying, supervising, evaluating and checking the data, effective management of the data is achieved based on double comparison, and effectiveness and accuracy of data management are improved.
Example 6:
based on embodiment 1, in step 2, determining the business object of the target enterprise includes:
traversing historical logs of an enterprise terminal related to the target enterprise;
clustering the historical logs to obtain a plurality of types of logs, and meanwhile, determining that each log in each type of logs is based on the current address of the enterprise terminal;
performing centralized processing on the current address of each log in the similar logs, and determining a centralized address segment and a scattered address segment of the similar logs;
judging whether the first section attribute of the centralized address section and the second section attribute of the scattered address section are matched with the log type of each corresponding log;
if the log is matched with the original address, continuously keeping each corresponding log at the original address;
otherwise, calibrating the unmatched first log and the first address of the first log, and searching the address to be placed related to the unmatched first log;
transferring the unmatched first log to the address to be placed, releasing the content of the first address and establishing an index for the first address;
judging a transfer object of the transfer log according to the address attribute of the first address for establishing the index and the address attribute of the address to be placed;
judging an untransferred object of the untransferred log according to the address attribute continuously reserved in the original address;
meanwhile, an object business table pre-established by the target enterprise is obtained, and a main object and a secondary object in the object business table are calibrated;
and fusing the transferred object, the non-transferred object, the main object and the secondary object to obtain a service object.
In this embodiment, as shown in fig. 3, since each log has a different address and the address is located at a different position, there are a centralized address segment and a distributed address segment, where the a1 area is regarded as the centralized address segment, the a2 area is regarded as the distributed address segment, the centralized address segment contains 80% or more of the logs, and the distributed address segment contains the rest of the logs.
In this embodiment, because the logs are composed of different types of data, it is convenient to obtain multiple types of logs through cluster analysis, and it is convenient to obtain a centralized address segment and a distributed address segment through centralized processing of the logs of the same type.
In this embodiment, the first segment attribute and the second segment attribute are related to, for example, the data type and format type of the log.
In this embodiment, the address to be placed is an address that can be placed after the transfer of the first log that does not match.
In this embodiment, the index is established for the first address, so that when a log is subsequently generated in the running process, it is convenient to avoid storing a first log in the generated log, which does not match with the first log, in the address, and the log storage efficiency is improved.
In this embodiment, the first address attribute and the address attribute of the address to be placed are also related to the log format type or the data type and the log content, and the determination of the transfer object is performed by the first address attribute and the address attribute of the address to be placed, so as to facilitate effective acquisition of a log in which an address is easy to be misplaced, and the determination of the non-transfer object is performed by the second address attribute and the address attribute of the address to be placed, so as to acquire a log in which an address is not easy to be misplaced, and the transfer object and the non-transfer.
In this embodiment, the object service table is preset, and the object service table includes a primary object and a secondary object, for example, an item related to approval is the primary object, and an item related to knowledge is the secondary object.
In this embodiment, the fusion process is performed to acquire all the objects included based on the transferred object, the non-transferred object, the primary object, and the secondary object, so as to ensure the integrity of data acquisition.
The beneficial effects of the above technical scheme are: through carrying out cluster analysis to the log, be convenient for carry out the processing of refining, through judging concentrated address section and dispersed address section, be convenient for confirm the position distribution of the log of the same kind, and through matching, be convenient for effectively confirm treat place the address, guarantee the effective placement of address, and then guarantee the reasonable transfer of data, through fusing the object that acquires, be convenient for guarantee the integrality that the data acquireed, facilitate for follow-up data management that carries on.
Example 7:
based on embodiment 6, after transferring the unmatched first log to the address to be placed, the method further includes: judging the rationality of transferring the unmatched first log to the address to be placed, and the judging the rationality comprises the following steps:
determining a first location distribution of a first address for establishing an index in the centralized address section and a second location distribution of the first address for establishing an index in the distributed address section, wherein the centralized address section comprises n1 first subsections, and the distributed address section comprises n2 second subsections;
calculating a comprehensive influence value Z of the first address of the unmatched first log on the centralized address field and the scattered address field according to the following formula;
wherein the content of the first and second substances,
indicating a first location occupancy of the first address in the ith first subsegment determined based on the first location distribution;
determining a first weight of the first address in the ith first subsegment based on the first position distribution;
a second location proportion of a second address determined based on the second location distribution in a jth second subsegment;
a second weight of the second address at the jth second subsegment determined based on the second location distribution; k1 indicates that the first address is distributed inThe number of first subsegments involved in the address segment of the set; k2 indicates the number of second subsections involved in the distribution of the first address in the scattered address section;
indicating the third position occupation ratio of the first address in the first subsection involved in the k1 th address;
a third weight representing the first address in the first subsection referred to at the k1 th;
indicating the fourth position occupation ratio of the first address in the k2 th related second subsegment;
a fourth weight indicating that the first address is in the second subsection referred to at the k2 th;
calculating a comprehensive effective value S of the address to be placed according to the following formula;
wherein L represents the total position number of the address to be placed;
a location space value representing the address to be placed for the p-th location;
an invalid space value representing the address to be placed at the p-th location;
the weighted value of the address to be placed at the p-th position is represented, and the value range is [0.1, 1 ]]；
The number of the positions of the corresponding first address in the first subsection related to the k1 th subsection is shown;
the number of the positions of the corresponding first addresses in the second subsegment related to the k2 th addresses is represented, wherein each address to be placed corresponds to one position;
judging whether a mapping relation exists between the comprehensive influence value Z and the comprehensive effective value S or not based on a mapping relation table;
if yes, judging that the first log which is not matched is reasonably transferred to the address to be placed according to the mapping relation;
otherwise, calling a first relation related to the comprehensive influence value Z and calling a second relation related to the comprehensive effective value S from the mapping relation table;
and adjusting the address to be placed according to the first relation and the second relation.
In this embodiment, the mapping relationship table is preset, and the first relationship is, for example, an adjustment for making the comprehensive impact value larger and smaller, and the second relationship is, for example, an adjustment for making the comprehensive effective value larger and smaller, and the like, and the address to be placed is adjusted, for example, the current position of the address to be placed is replaced, and the like.
In this embodiment, for example, in the concentrated address segment Y1, there are n1 first subsegments, and the first position of the first address z is distributed at different positions of the plurality of first subsegments, and in the dispersed address segment Y2, there are n2 second subsegments, and the second position of the first address z is distributed at different positions of the plurality of second subsegments;
the positions of the first subsegments can be coherent or incoherent, and the positions of the second subsegments can be coherent or incoherent.
The beneficial effects of the above technical scheme are: the method comprises the steps of judging the rationality of an address to be placed which is not matched with first log transfer, effectively adjusting the address to be placed, firstly, determining the position distribution of the first address in a concentrated address section and a dispersed address section, secondly, calculating the comprehensive influence value of the unmatched first log in the concentrated address section and the distributed address section according to a formula, and further calculating the comprehensive effective value of the address to be placed according to the formula, comparing the comprehensive effective value with a mapping relation table, being convenient for intelligently judging whether the address to be placed is reasonable or not, when the address to be placed is unreasonable, adjusting the address by calling a first relation and a second relation, ensuring the rationality of the unmatched first address, ensuring the accuracy of acquisition of subsequent operation objects, and further providing an indirect effective basis for subsequent data management.
The enterprise data management system corresponding to the method provided in embodiment 1, as shown in fig. 2, includes:
the building module is used for building communication connection between the enterprise data management platform and an enterprise end of a target enterprise based on the Internet of things technology;
the calling module is used for determining the business object of the target enterprise and calling corresponding enterprise resource data based on the enterprise data management platform;
and the management module is used for determining a management user of the enterprise data management platform, and performing data management on the enterprise resource data when the management authority of the management user meets a first preset condition and the enterprise resource data meets a second preset condition.
The beneficial effects of the above technical scheme are: through double comparison of management authority and resource data, effective management of the data is achieved, and effectiveness and accuracy of data management are improved.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. An enterprise data management method based on the Internet of things is characterized by comprising the following steps:
step 1: establishing a communication connection between an enterprise data management platform and an enterprise end of a target enterprise based on the technology of the Internet of things;
step 2: determining a business object of the target enterprise, and calling corresponding enterprise resource data based on the enterprise data management platform;
and step 3: determining a management user of the enterprise data management platform, comparing the management authority of the management user with a first preset condition, and simultaneously comparing the enterprise resource data with a second preset condition to perform data management on the enterprise resource data.
2. The enterprise data management method according to claim 1, wherein in step 1, establishing a communication connection between the enterprise data management platform and the enterprise side of the target enterprise based on the internet of things technology comprises:
establishing an identification list of the enterprise data management platform, and establishing an enterprise identification of the enterprise terminal;
acquiring a first connection request sent by the enterprise terminal, wherein the first connection request carries a corresponding enterprise identifier;
based on the technology of the Internet of things, the first connection request is sent to the enterprise data management platform, and meanwhile, the carried corresponding enterprise identification is matched with each sub-identification in the identification list;
if the successfully matched sub-identifiers exist, the enterprise data management platform sends second connection requests of all the successfully matched sub-identifiers to the corresponding enterprise terminals on the basis of the Internet of things technology;
tracking the receiving process of all second connection requests received by the corresponding enterprise terminal, and carrying out matching degree analysis on each second connection request and the first connection request;
screening the optimal connection request from all the second connection requests according to the matching degree analysis result and the tracking result in the receiving process;
judging whether the optimal connection request meets a preset rule of the first connection request;
if yes, establishing communication connection between the enterprise data management platform and a corresponding enterprise terminal;
otherwise, the communication connection between the enterprise data management platform and the enterprise end of the target enterprise is not established.
3. The enterprise data management method according to claim 1, wherein in step 2, determining the business object of the target enterprise, and invoking the corresponding enterprise resource data based on the enterprise data management platform, comprises:
acquiring an enterprise file of the target enterprise, and dividing the enterprise file into a plurality of data blocks, wherein the data blocks comprise: project block data, knowledge block data, and financial block data;
recording whether the block content in each data block is missing or not;
if yes, judging the scene difference between the actual operation scene and the standard operation scene of the data block, calling supplementary data related to the scene difference from a difference database, and filling the supplementary data to the missing position;
meanwhile, the missing content is judged and the association relation between each data block is determined,
acquiring to-be-processed contents related to missing contents from a resource database, preprocessing the to-be-processed contents according to the association relation to obtain effective contents, and filling the effective contents to the missing positions;
if the block content is not missing or the missing position is filled, determining the service scene of each block data, and distributing a corresponding service object to each service scene;
and calling corresponding enterprise resource data from a resource database based on the business object and the enterprise data management platform.
4. The enterprise data management method of claim 1 wherein said step 3 of determining the administrative user of said enterprise data management platform comprises:
recording input information input by a user to be determined based on a login interface of the enterprise data management platform, wherein the input information comprises: a login account and a login password;
if the input information is matched with preset information, entering an initial interface of the enterprise data management platform, and meanwhile, automatically calling a historical management record of the user to be determined according to the input information;
sorting a plurality of sub-options of the history management record, outputting the sub-options to a first interface for the user to be determined to select, and outputting a plurality of management steps of the selected sub-items to a second interface after the user to be determined successfully selects;
recording the selection sorting of the user to be determined to the management step based on the second interface, and judging whether the selection sorting result is consistent with the original management step or not according to the selection sorting result;
if the user to be determined is consistent with the management user, judging that the user to be determined is the management user;
otherwise, logging out from the second interface to a login interface.
5. The enterprise data management method according to claim 1, wherein in step 3, comparing the management authority of the management user with a first preset condition, and simultaneously comparing the enterprise resource data with a second preset condition to perform data management on the enterprise resource data, comprises:
determining an authority set of the management user, comparing each authority in the authority set with a first preset condition, and judging whether each authority meets the first preset condition;
classifying the enterprise resource data, respectively monitoring the project progress of each classified project, further performing risk assessment on each project, and simultaneously performing project assessment on each classified project;
judging whether the enterprise resource data meet a second preset condition or not based on a risk evaluation result and a project assessment result;
when each authority in the comparison result meets a first preset condition and the enterprise resource data meets a second preset condition, performing data management on the enterprise resource data according to a first preset mode;
otherwise, performing data management on the enterprise resource data according to a second preset mode.
6. The enterprise data management method of claim 4,
the plurality of sub-options includes a history management item and a disturbance management item, and the sequence of the management steps is random.
7. The method of enterprise data management according to claim 1, wherein determining the business object of the target enterprise in step 2 comprises:
traversing historical logs of an enterprise terminal related to the target enterprise;
clustering the historical logs to obtain a plurality of types of logs, and meanwhile, determining that each log in each type of logs is based on the current address of the enterprise terminal;
performing centralized processing on the current address of each log in the similar logs, and determining a centralized address segment and a scattered address segment of the similar logs;
judging whether the first section attribute of the centralized address section and the second section attribute of the scattered address section are matched with the log type of each corresponding log;
if the log is matched with the original address, continuously keeping each corresponding log at the original address;
otherwise, calibrating the unmatched first log and the first address of the first log, and searching the address to be placed related to the unmatched first log;
transferring the unmatched first log to the address to be placed, releasing the content of the first address and establishing an index for the first address;
judging a transfer object of the transfer log according to the address attribute of the first address for establishing the index and the address attribute of the address to be placed;
judging an untransferred object of the untransferred log according to the address attribute continuously reserved in the original address;
meanwhile, an object business table pre-established by the target enterprise is obtained, and a main object and a secondary object in the object business table are calibrated;
and fusing the transferred object, the non-transferred object, the main object and the secondary object to obtain a service object.
8. The enterprise data management method of claim 7 wherein after transferring the unmatched first log to the to-be-placed address, further comprising: judging the rationality of transferring the unmatched first log to the address to be placed, and the judging the rationality comprises the following steps:
determining a first location distribution of a first address for establishing an index in the centralized address section and a second location distribution of the first address for establishing an index in the distributed address section, wherein the centralized address section comprises n1 first subsections, and the distributed address section comprises n2 second subsections;
calculating a comprehensive influence value Z of the first address of the unmatched first log on the centralized address field and the scattered address field according to the following formula;
wherein the content of the first and second substances,
indicating a first location occupancy of the first address in the ith first subsegment determined based on the first location distribution;
determining a first weight of the first address in the ith first subsegment based on the first position distribution;
a second location proportion of a second address determined based on the second location distribution in a jth second subsegment;
a second weight of the second address at the jth second subsegment determined based on the second location distribution; k1 represents the number of first subsections involved in the distribution of the first address in the collective address section; k2 indicates the number of second subsections involved in the distribution of the first address in the scattered address section;
indicating the third position occupation ratio of the first address in the first subsection involved in the k1 th address;
a third weight representing the first address in the first subsection referred to at the k1 th;
indicating the fourth position occupation ratio of the first address in the k2 th related second subsegment;
a fourth weight indicating that the first address is in the second subsection referred to at the k2 th;
calculating a comprehensive effective value S of the address to be placed according to the following formula;
wherein L represents the total position number of the address to be placed;
a location space value representing the address to be placed for the p-th location;
an invalid space value representing the address to be placed at the p-th location;
the weighted value of the address to be placed at the p-th position is represented, and the value range is [0.1, 1 ]]；
The number of the positions of the corresponding first address in the first subsection related to the k1 th subsection is shown;
the number of the positions of the corresponding first addresses in the second subsegment related to the k2 th addresses is represented, wherein each address to be placed corresponds to one position;
judging whether a mapping relation exists between the comprehensive influence value Z and the comprehensive effective value S or not based on a mapping relation table;
if yes, judging that the first log which is not matched is reasonably transferred to the address to be placed according to the mapping relation;
otherwise, calling a first relation related to the comprehensive influence value Z and calling a second relation related to the comprehensive effective value S from the mapping relation table;
and adjusting the address to be placed according to the first relation and the second relation.
9. An enterprise data management system based on the Internet of things is characterized by comprising:
the building module is used for building communication connection between the enterprise data management platform and an enterprise end of a target enterprise based on the Internet of things technology;
the calling module is used for determining the business object of the target enterprise and calling corresponding enterprise resource data based on the enterprise data management platform;
and the management module is used for determining a management user of the enterprise data management platform, and performing data management on the enterprise resource data when the management authority of the management user meets a first preset condition and the enterprise resource data meets a second preset condition.
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