Multi-dimensional project maintenance data management system and method based on industrial intelligent base

Abstract

The present invention discloses a multi-dimensional project maintenance data management system and method based on an industrial intelligent base. The present invention relates to the field of data management technology, and solves the problem that the conversion rate and sharing rate of data formats have not been optimized to shorten the time. The present invention performs correlation analysis on different data formats in the data management process, identifies and determines the pending format and records the relevant time interval, and then determines the relevant format to be converted based on the corresponding time interval. The format to be converted determined in each different set period may be different, which depends on the capacity parameters of the corresponding maintenance data and the relevant summation interval for specific confirmation. In this way, the data conversion and storage efficiency of each different set period can be fully guaranteed to achieve better data conversion and storage effects, and shorten the specific conversion and storage time.

Description

Technical Field

[0001] The present invention relates to the technical field of data management, and in particular to a multi-dimensional project maintenance data management system and method based on an industrial intelligent base. Background Art

[0002] The Industrial Intelligent Base is a comprehensive platform that integrates advanced information technology, data analysis capabilities, communication technology and automation technology; it aims to integrate, analyze and process various data in the industrial production process to achieve intelligent decision-making and control, improve production efficiency, reduce costs, improve product quality and enhance corporate competitiveness.

[0003] The application with publication number CN102916988A discloses a data management system, including: a customer database server, which aggregates and stores relevant data of local customers; a data terminal, which forms a network connection with the above-mentioned customer database server, receives various relevant information from the customer database server, and the data terminal serves as the data sending end; a company FTP server, which establishes a network connection with the data terminal, receives data information sent from the data terminal, and stores the received information. Information is sent through the data terminal, and the system is integrated in the hardware device instead of installing the client software on the computer, realizing the functions of automatic capture and scheduled automatic upload, which greatly reduces the workload of the operator, speeds up the work progress, and avoids the possibility of wrong operation.

[0004] In the process of related management of different types of maintenance data, its intelligent base generally adopts a periodic storage method. According to the sequence of the timeline, different data are converted into a format that can be stored by the base and then stored. When sharing data, it is directly shared based on the data instructions of the corresponding data requester. However, the original data storage method does not comprehensively consider the relevant rate of data format conversion between different data within the cycle, and does not comprehensively consider the data sharing rate of different data requesters within the cycle. There is a problem that the data format conversion rate and sharing rate are not optimized to shorten the time. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a multi-dimensional project maintenance data management system and method based on an industrial intelligent base, which solves the problem that the conversion rate of the data format and the sharing rate are not optimized to achieve time reduction.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a multi-dimensional project maintenance data management method based on an industrial intelligent base comprises the following steps:

[0007] Step 1: Process several groups of different maintenance data collected within a set period, prioritize the data formats of different maintenance data, and then determine the management format of the storage of this intelligent base. Based on the data conversion efficiency between different data formats, determine the format to be converted, and convert the maintenance data in different formats into the format to be converted and manage them uniformly;

[0008] Step 2: Based on the data sharing instructions of different data requesters, control the relevant maintenance data stored in the smart base, share such maintenance data with the relevant data requesters, and execute different sharing logics to share the relevant maintenance data according to the synchronization requirements of different data requesters at the same time or at the same time. The specific method is as follows:

[0009] S21. If, during the data sharing process, other data requesters simultaneously request such maintenance data, a sharing logic is determined by analyzing the data sharing rate between the data requesters or between the smart base and other data requesters, and the maintenance data is shared according to the determined sharing logic;

[0010] S22. If, during the data sharing process of such maintenance data, different data requesters simultaneously send data sharing instructions at the same time, the smart base can directly share the data with the data requesters based on their data sharing instructions.

[0011] Multi-dimensional project maintenance data management system based on industrial intelligent base, including:

[0012] Data format conversion processing end: by processing several groups of different maintenance data collected within the set period, the data formats of different maintenance data are determined first, and then the management format of the storage of this intelligent base is determined. Based on the data conversion efficiency between different data formats, the format to be converted is determined, and maintenance data of different formats are converted into the format to be converted and managed uniformly;

[0013] Sharing demand confirmation end: Based on the data sharing instructions of different data requesters, control the relevant maintenance data stored in the smart base, share such maintenance data with relevant data requesters, and execute different sharing logics to share relevant maintenance data according to the synchronization requirements of different data requesters at the same time or at the same time;

[0014] The sharing demand confirmation end includes: a shared logic processing unit in the same period and a shared logic processing unit at the same moment:

[0015] The shared logic processing unit in the same period: based on the fact that during the data sharing process of the maintenance data, there are other data requesters who synchronously request such maintenance data, the sharing logic is determined by analyzing the data sharing rate between the data requesters or between the smart base and other data requesters, and the maintenance data is shared through the determined sharing logic;

[0016] Its simultaneous shared logic processing unit: based on this type of maintenance data in the data sharing process, at the same time there are different data requesters synchronously sending data sharing instructions, and its smart base can directly share data with the data requesters based on its data sharing instructions.

[0017] As a further technical solution of this application, the specific implementation contents are also included:

[0018] The specific sub-steps for determining the format to be converted are:

[0019] S11, based on the several groups of maintenance data collected within the set period, the set period is the preset period, and the data capacity of several groups of different maintenance data is calibrated as R i , where i represents the different maintenance data within this set period, and the format of different maintenance data is marked as G i ;

[0020] S12, based on the management format stored in the smart base, from several groups of G i Identify whether there is a format that is the same as the management format:

[0021] If there is only one group, the management format is marked as the format to be converted, and step S15 is executed:

[0022] If there are multiple groups or the same format does not exist, then execute step S13;

[0023] S13, if there are multiple sets of the same format, mark the multiple sets of the same format as pending format, if there are no identical formats, mark all the management formats stored in this smart base as pending formats, based on different data formats of different maintenance data G i , identify different G from historical completion data i The fastest conversion rate V to different undetermined formats i-k max and slowest conversion rate V i-k min, where k represents different pending formats. For maintenance data with the same data format as the pending format, no relevant confirmation is required. The data capacity R based on different maintenance data i And the determined V i-k max and V i-kmin, determines the time interval required for the maintenance data to be converted to the specified pending format. The maximum value of the time interval is: T i-k max=R i ÷V i-k min; the minimum value of the time interval is: T i-k min=R i ÷V i-k max;

[0024] The different time intervals confirmed by each different maintenance data are marked as: [T i-k min,T i-k max];

[0025] S14, based on the tag k, several time intervals belonging to the same undetermined format are integrated, the minimum values ​​of the several time intervals are summed to determine the combined minimum value, the maximum values ​​of the several time intervals are summed to determine the combined maximum value, and the summed interval after the undetermined format is processed is marked as [QT k min,QT k max];

[0026] Confirm and process the summation intervals of different pending formats one by one: determine the middle value Z of each group of summation intervals k , its Z k =(QT k min+QT k max)÷2, then from several intermediate values ​​Z k Select Z kmin The corresponding pending format is marked as the format to be converted. If there are multiple groups of the same Z kmin , then select a group of pending formats with the smallest time range as the format to be converted; if the time ranges are the same, randomly select a group of pending formats as the format to be converted;

[0027] S15. Based on the format to be converted determined within this set period, several groups of different maintenance data received this time are converted into the format to be converted, and the converted maintenance data in the same format to be converted are managed and stored. The maintenance data with the same data format as the format to be converted is directly managed and stored. After the maintenance data of this set period is stored, the format to be converted of the next set period is determined and specifically stored.

[0028] The specific sub-steps for determining the sharing logic are:

[0029] S211, based on the data sharing instruction of the data requester, the related maintenance data stored in the smart base is shared with the data requester, and the sharing rate SVq is recorded in real time, where q represents different moments, confirming the receiving moment T1 when the smart base receives the data from other data requesters, and selecting the minimum value SVqmin and the maximum value SVqmax of the sharing rate from several groups of sharing rates SVq recorded before moment T1, determining the capacity RL of the maintenance data shared this time, and using RL÷SVqmin=TSmax and RL÷SVqmax=TSmin to lock the completion time interval [TSmin, TSmax] when the data requester receives the maintenance data;

[0030] S212, control the smart base to execute a sharing process of other data requesters, the process time is 3 minutes, in this sharing process, determine the data sharing rate shared by the smart base to other data requesters, and determine the minimum and maximum values ​​of the sharing rate, and based on the capacity of the maintenance data, determine the completion time interval [TTmin, TTmax] for other data requesters to receive the maintenance data:

[0031] If TTmax≤TSmax, the sharing process is directly executed to share the maintenance data with other data requesting parties;

[0032] If TTmax>TSmax, the data node of the maintenance data in the sharing process is recorded. Based on this data node, a secondary sharing process is performed to other data requesting parties through this data requesting party, and the sharing process time is 1 minute.

[0033] Among them, the secondary sharing process includes:

[0034] Execute some maintenance data after this data node in this secondary sharing process, record the minimum value RVmin and the maximum value RVmax of its sharing rate in the secondary sharing process, and determine the relevant time interval [TVmin, TVmax] expected to complete the transmission of the secondary sharing process based on the data capacity of some maintenance data:

[0035] If TVmax≤TTmax, the secondary sharing process is directly executed to complete the data request sharing process of other data requesters, and the executor is this data requester;

[0036] If TVmax>TTmax, the sharing process is executed again to complete the data request sharing process of other data requesting parties, and the executor is this smart base.

[0037] The present invention provides a multi-dimensional project maintenance data management system and method based on an industrial intelligent base. Compared with the prior art, it has the following beneficial effects:

[0038] The present invention performs correlation analysis on different data formats in the data management process, identifies and determines the pending format and records the relevant time interval, and then determines the relevant pending conversion format based on the corresponding time interval. The pending conversion format determined in each different set period may be different, which depends on the capacity parameter of the corresponding maintenance data and the relevant summation interval for specific confirmation. In this way, the data conversion and storage efficiency of each different set period can be fully guaranteed to achieve better data conversion and storage effects and shorten the specific conversion and storage time.

[0039] For the relevant data sharing process, it is prioritized to identify whether the data requester is generated in the same period or at the same time. For the sharing process generated in the same period, relevant assessment is carried out by analyzing the data sharing rate between the base and the requester and the data sharing rate between the requesters, identifying and locking the fastest data sharing method, so as to fully reduce the specific data sharing time and speed up the sharing rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a schematic diagram of the process of the present invention;

[0041] Figure 2 It is a schematic diagram of the principle framework of the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Example 1

[0043] See also Figure 1 The present application provides a multi-dimensional project maintenance data management method based on an industrial intelligent base, wherein the industrial intelligent base includes various sensors, instruments and data acquisition equipment for real-time acquisition of various data in the industrial production process. For a large amount of various types of related data collected, a relevant data management method is required to uniformly manage and share such data to ensure the relevant rate of data management and sharing, including the following steps:

[0044] Step 1: Process several groups of different maintenance data collected within a set period, give priority to determining the data formats of different maintenance data, and then determine the management format stored in the smart base. Based on the data conversion efficiency between different data formats, determine the format to be converted, and convert the maintenance data in different formats into the format to be converted and manage them uniformly. Specifically, because the smart base is associated with multiple different source interfaces, the collected data formats are not the same, and there are a large number of data in different formats. Therefore, in order to achieve the overall effect of unified management, the format needs to be unified. Among them, the specific sub-steps of determining the format to be converted are:

[0045] S11, based on the several groups of maintenance data collected within the set period, the set period is a preset period, and its specific value is prepared by the operator in advance based on experience, and the data capacity of several groups of different maintenance data is calibrated as R i , where i represents the different maintenance data within this set period, and the format of different maintenance data is marked as G i ;

[0046] S12, based on the management format stored in the smart base, from several groups of G i Identify whether there is a format that is the same as the management format:

[0047] If there is only one group, the management format is marked as the format to be converted, and step S15 is executed:

[0048] If there are multiple groups or the same format does not exist, then execute step S13;

[0049] S13. If there are multiple sets of the same format, mark them as pending formats. If there are no identical formats, mark all the management formats stored in this smart base as pending formats (in order to ensure the reasonable management effect of data, this smart base can generally manage fewer formats, so there will not be too many pending formats). Different data formats G based on different maintenance data i , identify different G from historical completion data i The fastest conversion rate V to different undetermined formats i- k max and slowest conversion rate V i-k min, where k represents different pending formats. For maintenance data with the same data format as the pending format (that is, the two sets of formats are the same, which means that the data format can be directly managed by this intelligent base without the need for data format conversion, and there is no need to confirm the conversion rate. The historical completion data can be directly obtained from the past processing data. There are relevant conversion records in the cloud, and the specific conversion rate can be directly confirmed from them, so that the fastest rate and the slowest rate can be determined). No relevant confirmation is required. Based on the data capacity R of different maintenance datai And the determined V i-k max and V i-k min, determines the time interval required for the maintenance data to be converted to the specified pending format. The maximum value of the time interval is: T i-k max=R i ÷V i-k min; the minimum value of the time interval is: T i-k min=R i ÷V i-k max;

[0050] The different time intervals confirmed by each different maintenance data are marked as: [T i-k min,T i-k max];

[0051] S14, based on the tag k, several time intervals belonging to the same undetermined format are integrated (based on the tag k, the extraction and integration can be directly performed, that is, the time intervals with the same tag k are integrated into one piece for analysis), the minimum values ​​of several time intervals are summed to determine the combined minimum value, the maximum values ​​of several time intervals are summed to determine the combined maximum value, and the summed interval after the undetermined format is processed is marked as [QT k min,QT k max], specifically, the smart base is for the different formats of data in the same batch, in order to ensure that there is no mutual interference during the conversion, generally one by one conversion is performed, for example, there are three different data formats A, B and C, and this smart base can only receive relevant data in D format, then A is preferentially converted to D, then B is converted to D, and then C is converted to D, and they are converted one by one, so the time intervals determined above can be directly summed to determine the relevant summation interval, so as to facilitate the determination of the format to be converted from several pending formats, and ensure that the data format conversion rate of several different maintenance data in this batch is faster, thereby reducing the overall management time of this smart base;

[0052] Confirm and process the summation intervals of different pending formats one by one: determine the middle value Z of each group of summation intervals k , its Z k =(QT k min+QT k max)÷2, then from several intermediate values ​​Z k Select Z kmin The corresponding pending format is marked as the format to be converted (the smaller the middle value of the interval, the later the overall range of the corresponding summation interval, which means the time of the corresponding summation interval is shorter). If there are multiple groups of the same Z kmin(That is, there are multiple values ​​that are both minimum and middle values ​​at the same time), then a group of pending formats with the smallest time range is selected as the format to be converted (its time range is the difference between the maximum and minimum values ​​in the summation interval). If the time ranges are the same, then a group of pending formats is randomly selected as the format to be converted. For example, the summation intervals corresponding to the three different pending formats A, B and C are: A[10, 15], the middle value is 12.5; B[9, 16], the middle value is also 12.5; C[10, 17], the middle value is also 13.5, then the middle values ​​of A and B are the same, and the value range of B is larger than the value range of A, then A is selected as the format to be converted. The smaller its value range is, the more accurate its time interval is relative to the larger time interval, thereby ensuring the controllability of time;

[0053] S15. Based on the format to be converted determined in this set period, several groups of different maintenance data received this time are converted into the format to be converted, and the converted maintenance data in the same format to be converted are managed and stored. The maintenance data whose data format is the same as the format to be converted is directly managed and stored. After the maintenance data of this set period is stored, the format to be converted of the next set period is determined and specifically stored (that is, the format to be converted determined in each different set period may be different, which depends on the capacity parameters of the corresponding maintenance data and the relevant summation interval for specific confirmation, so that the data conversion and storage efficiency of each different set period can be fully guaranteed to achieve better data conversion and storage effects and shorten its specific conversion and storage time);

[0054] Step 2: Based on the data sharing instructions of different data requesters, control the relevant maintenance data stored in the smart base, share such maintenance data with relevant data requesters, and execute different sharing logics to share relevant maintenance data according to the synchronization requirements of different data requesters in the same period or at the same time (the so-called same period means that A is in the sharing process, and B intervenes and synchronizes the maintenance data):

[0055] S21. If, during the data sharing process, other data requesters simultaneously request such maintenance data, the data sharing rate between the data requesters or between the smart base and other data requesters is analyzed to determine the sharing logic and fully reduce the sharing time. The specific sub-steps for determining the sharing logic are:

[0056] S211. Based on the data sharing instruction of the data requester, the relevant maintenance data stored in the smart base is shared with the data requester, and the sharing rate SVq is recorded in real time, where q represents different moments (the sharing process includes the corresponding format conversion process, so the sharing rate is determined here, that is, it is confirmed when the smart base receives the data sharing instruction at the initial moment, because the smart base performs real-time processing, that is, it is shared after the format conversion, and there is no need to wait for the corresponding data format to be completely converted before sharing. It converts part of the data segment and then transmits part of the data segment, so the sharing rate can be directly considered here), confirm the receiving time T1 when this smart base receives other data requesters, and select the minimum value SVqmin and the maximum value SVqmax of the sharing rate from several groups of sharing rates SVq recorded before time T1, determine the capacity RL of the maintenance data shared this time, and use RL÷SVqmin=TSmax and RL÷SVqmax=TSmin to lock the completion time interval [TSmin, TSmax] of this data requester receiving this maintenance data;

[0057] S212, control the smart base to execute a sharing process of other data requesters, the process time is a preset value, generally 3 minutes, in this sharing process, determine the data sharing rate shared by the smart base to other data requesters, and determine the minimum and maximum values ​​of the sharing rate, and based on the capacity of the maintenance data, determine the completion time interval [TTmin, TTmax] for other data requesters to receive the maintenance data:

[0058] If TTmax≤TSmax, the sharing process is directly executed to share the maintenance data with other data requesting parties;

[0059] If TTmax>TSmax, then record the data node of this maintenance data in the sharing process (that is, part of the data segment that has been shared and does not need to be shared again in the future). Based on this data node, execute the secondary sharing process to other data requesters through this data requester. The time of its sharing process is the preset value, generally 1 minute. In this secondary sharing process, execute part of the maintenance data after this data node, record the minimum value RVmin and the maximum value RVmax of its sharing rate in the secondary sharing process, and determine the relevant time interval [TVmin, TVmax] expected to complete the transmission of the secondary sharing process based on the data capacity of part of the maintenance data:

[0060] If TVmax≤TTmax, the secondary sharing process is directly executed to complete the data request sharing process of other data requesters, and the executor is this data requester;

[0061] If TVmax>TTmax, the sharing process is executed again to complete the data request sharing process of other data requesters, and the executor is this smart base;

[0062] Specifically, it also includes: when A is the data requester, there is B as the other data requester, and in B's data sharing process, C intervenes synchronously, then B is converted to this data requester, and C is converted to the other data requester. C uses B's relevant sharing time to confirm the time and sharing logic, which is consistent with B executing its own sharing logic by analyzing A's relevant data.

[0063] Specifically, the reason for adopting this data sharing method is that the related devices associated with the source interface associated with the smart bases also have cloud connections in the cloud, and the data between them can be transmitted and converted to each other, but the smart base stores a large amount of data, and the related devices associated with it do not store a large amount of data;

[0064] Then, in order to ensure a faster and more effective sharing rate, the data requester is A, and the other data requesters are B or B and C. The maximum time it takes for the smart base to share the maintenance data with A is 30 minutes. When A receives the data, it can transmit the corresponding data to B in real time. Then the transmission time can be synchronous. Then the time for B to receive the data is 40 minutes, of which the time for the smart base to transmit to B is 45 minutes. Then, by setting relevant instructions, A can directly transmit to B, which can not only effectively reduce the workload of the smart base, but also synchronously ensure the corresponding sharing rate;

[0065] Similarly, if the other requesting parties are B and C at the same time, then the sharing is also based on A to B or C, and the total specific time is determined, so as to confirm the corresponding sharing time. It is very rare that two data request instructions appear at the same time. The above method can fully reduce the specific data sharing time and speed up the sharing rate.

[0066] S22. If, during the data sharing process, different data requesters simultaneously send data sharing instructions at the same time for such maintenance data (that is, different data requesters request this maintenance data at the same time), the smart base can directly share data with the data requesters based on its data sharing instructions (that is, if A, B and C need this maintenance data at the same time, then this smart base will share this maintenance data with A, B and C at the same time, without executing multiple data processes, because there is no relevant maintenance data inside the corresponding data requester). Example 2

[0067] Combination Figure 2, a multi-dimensional project maintenance data management system based on an industrial intelligent base, including:

[0068] Data format conversion processing end: by processing several groups of different maintenance data collected within the set period, the data formats of different maintenance data are determined first, and then the management format of the storage of this intelligent base is determined. Based on the data conversion efficiency between different data formats, the format to be converted is determined, and maintenance data of different formats are converted into the format to be converted and managed uniformly;

[0069] Database: stores the maintenance data converted into the format to be converted within the set period, and provides data sharing for the shared demand confirmation end;

[0070] Sharing demand confirmation end: Based on the data sharing instructions of different data requesters, control the relevant maintenance data stored in the smart base, share such maintenance data with relevant data requesters, and execute different sharing logics to share relevant maintenance data according to the synchronization requirements of different data requesters at the same time or at the same time;

[0071] The sharing demand confirmation end includes: a shared logic processing unit in the same period and a shared logic processing unit at the same moment:

[0072] The shared logic processing unit in the same period: based on the fact that during the data sharing process of the maintenance data, there are other data requesters who synchronously request such maintenance data, the sharing logic is determined by analyzing the data sharing rate between the data requesters or between the smart base and other data requesters, and the maintenance data is shared through the determined sharing logic;

[0073] Its simultaneous shared logic processing unit: based on this type of maintenance data in the data sharing process, at the same time there are different data requesters synchronously sending data sharing instructions, and its smart base can directly share data with the data requesters based on its data sharing instructions.

[0074] The data format conversion processing end, the database and the sharing demand confirmation end are electrically connected in sequence from the output node to the input node.

[0075] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0076] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A multi-dimensional project maintenance data management method based on an industrial intelligent base, characterized in that: The following steps are involved: Step 1: Process several groups of different maintenance data collected within a set period, prioritize the data formats of different maintenance data, and then determine the management format of the storage of this intelligent base. Based on the data conversion efficiency between different data formats, determine the format to be converted, and convert the maintenance data in different formats into the format to be converted and manage them uniformly; Step 2: Based on the data sharing instructions of different data requesters, control the relevant maintenance data stored in the smart base, share such maintenance data with the relevant data requesters, and execute different sharing logics to share the relevant maintenance data according to the synchronization requirements of different data requesters at the same time or at the same time. The specific method is as follows: S21. If, during the data sharing process, other data requesters simultaneously request such maintenance data, the sharing logic is determined by analyzing the data sharing rate between the data requesters or between the smart base and other data requesters, and the maintenance data is shared according to the determined sharing logic. The specific sub-steps are as follows: S211, based on the data sharing instruction of the data requester, the related maintenance data stored in the smart base is shared with the data requester, and the sharing rate SVq is recorded in real time, where q represents different moments, confirming the receiving moment T1 when the smart base receives the data from other data requesters, and selecting the minimum value SVqmin and the maximum value SVqmax of the sharing rate from several groups of sharing rates SVq recorded before moment T1, determining the capacity RL of the maintenance data shared this time, and using RL÷SVqmin=TSmax and RL÷SVqmax=TSmin to lock the completion time interval [TSmin, TSmax] when the data requester receives the maintenance data; S212, control the smart base to execute a sharing process of other data requesters, the process time is 3 minutes, in this sharing process, determine the data sharing rate shared by the smart base to other data requesters, and determine the minimum and maximum values ​​of the sharing rate, and based on the capacity of the maintenance data, determine the completion time interval [TTmin, TTmax] for other data requesters to receive the maintenance data: If TTmax≤TSmax, the sharing process is directly executed to share the maintenance data with other data requesting parties; If TTmax>TSmax, then the data node of the maintenance data in the sharing process is recorded. Based on this data node, the secondary sharing process is performed through this data requesting party to other data requesting parties. The time of the sharing process is 1 minute. In step S212, the secondary sharing process includes: Execute some maintenance data after this data node in this secondary sharing process, record the minimum value RVmin and the maximum value RVmax of its sharing rate in the secondary sharing process, and determine the relevant time interval [TVmin, TVmax] expected to complete the transmission of the secondary sharing process based on the data capacity of some maintenance data: If TVmax≤TTmax, the secondary sharing process is directly executed to complete the data request sharing process of other data requesters, and the executor is this data requester; If TVmax>TTmax, the sharing process is executed again to complete the data request sharing process of other data requesters, and the executor is this smart base; S22. If, during the data sharing process of such maintenance data, different data requesters simultaneously send data sharing instructions at the same time, the smart base can directly share the data with the data requesters based on their data sharing instructions.

2. The multi-dimensional project maintenance data management method based on the industrial intelligent base according to claim 1 is characterized in that: In step 1, the specific sub-steps for determining the format to be converted are: S11, based on the several groups of maintenance data collected within the set period, the set period is the preset period, and the data capacity of several groups of different maintenance data is calibrated as R i , where i represents the different maintenance data within this set period, and the format of different maintenance data is marked as G i ; S12, based on the management format stored in the smart base, from several groups of G i Identify whether there is a format that is the same as the management format: If there is only one group, the management format is marked as the format to be converted, and step S15 is executed: If there are multiple groups or the same format does not exist, then execute step S13; S13, if there are multiple sets of the same format, mark the multiple sets of the same format as pending format; if there are no identical formats, mark all the management formats stored in the smart base as pending formats. i , identify different G from historical completion data i The fastest conversion rate V to different undetermined formats i-k max and slowest conversion rate V i-k min, where k represents different pending formats. For maintenance data with the same data format as the pending format, no relevant confirmation is required. The data capacity R based on different maintenance data i And the determined V i-k max and V i-k min, determines the time interval required for the maintenance data to be converted to the specified pending format. The maximum value of the time interval is: T i-k max=R i ÷V i-k min; the minimum value of its time interval is: T i-k min=R i ÷V i-k max; The different time intervals confirmed by each different maintenance data are marked as: [T i-k min,T i-k max]; S14, based on the tag k, several time intervals belonging to the same undetermined format are integrated, the minimum values ​​of the several time intervals are summed to determine the combined minimum value, the maximum values ​​of the several time intervals are summed to determine the combined maximum value, and the summed interval after the undetermined format is processed is marked as [QT k min,QT k max]; Confirm and process the summation intervals of different pending formats one by one: determine the middle value Z of each group of summation intervals k , its Z k =(QT k min+QT k max)÷2, then from several intermediate values ​​Z k Select Z kmin The corresponding pending format is marked as the format to be converted. If there are multiple groups of the same Z kmin , then select a group of pending formats with the smallest time range as the format to be converted; if the time ranges are the same, randomly select a group of pending formats as the format to be converted; S15. Based on the format to be converted determined within this set period, several groups of different maintenance data received this time are converted into the format to be converted, and the converted maintenance data in the same format to be converted are managed and stored. The maintenance data with the same data format as the format to be converted is directly managed and stored. After the maintenance data of this set period is stored, the format to be converted of the next set period is determined and specifically stored.

3. A multi-dimensional project maintenance data management system based on an industrial intelligent base, the management system operates according to the multi-dimensional project maintenance data management method based on an industrial intelligent base according to any one of claims 1-2, characterized in that: include: Data format conversion processing end: by processing several groups of different maintenance data collected within the set period, the data formats of different maintenance data are determined first, and then the management format of the storage of this intelligent base is determined. Based on the data conversion efficiency between different data formats, the format to be converted is determined, and maintenance data of different formats are converted into the format to be converted and managed uniformly; Database: stores the maintenance data converted into the format to be converted within the set period, and provides data sharing for the shared demand confirmation end; Sharing demand confirmation end: Based on the data sharing instructions of different data requesters, control the relevant maintenance data stored in the smart base, share such maintenance data with relevant data requesters, and execute different sharing logics to share relevant maintenance data according to the synchronization requirements of different data requesters at the same time or at the same time; The sharing demand confirmation end includes: a shared logic processing unit in the same period and a shared logic processing unit at the same moment: The shared logic processing unit in the same period: based on the fact that during the data sharing process of the maintenance data, there are other data requesters who synchronously request such maintenance data, the sharing logic is determined by analyzing the data sharing rate between the data requesters or between the smart base and other data requesters, and the maintenance data is shared through the determined sharing logic; Its simultaneous shared logic processing unit: based on this type of maintenance data in the data sharing process, at the same time there are different data requesters synchronously sending data sharing instructions, and its smart base can directly share data with the data requesters based on its data sharing instructions.

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