CN113837672A - Equipment maintenance management method based on industrial Internet - Google Patents
Equipment maintenance management method based on industrial Internet Download PDFInfo
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Abstract
The invention relates to an equipment maintenance management method based on an industrial internet, which comprises the following steps: step S1, the acquisition module acquires data generated by the equipment; step S2, the uploading module uploads the data collected by the collecting module to the processing module for pre-processing of the identification; step S3, the identification module identifies the data in the processing module, when identifying the data, the control module controls the identification module to identify the data according to the actual key word C of the data, and identifies the data which can not be identified again after replacing the key word; and step S4, when the identification module finishes identifying the data, the control module uploads the identified data to the storage module for storage. Therefore, data can be identified through the data keywords, data which cannot be identified are identified again after keyword replacement is carried out on the data, or the data which cannot be identified are analyzed to obtain new identifications, the data sorting efficiency is effectively improved, and the data collection utilization rate is improved.
Description
Technical Field
The invention relates to the technical field of intelligent equipment management, in particular to an equipment maintenance management method based on an industrial internet.
Background
Industrial internet is a result of the convergence of global industrial systems with advanced computing, analytics, sensing technologies and internet connectivity. The essence of the industrial internet is that equipment, production lines, factories, suppliers, products and customers are closely connected and fused through an open and global industrial-level network platform, and various element resources in industrial economy are efficiently shared, so that the cost is reduced, the efficiency is increased, the manufacturing industry is helped to extend the industrial chain, and the transformation development of the manufacturing industry is promoted through an automatic and intelligent production mode.
The concept of "industrial internet" was first proposed by general electric in 2012, and then the industry internet alliance (IIC) was constructed by five industry leaders in the united states, which has been vigorously popularized. In addition to the manufacturing initiatives of general electric, IT enterprises such as IBM, cisco, intel, and AT & T have joined the consortium.
The essence and core of the industrial internet is that the equipment, production lines, factories, suppliers, products and customers are tightly connected and converged through an industrial internet platform. The method can help the manufacturing industry to elongate an industrial chain, and form cross-equipment, cross-system, cross-factory and cross-regional interconnection and intercommunication, thereby improving the efficiency and promoting the intellectualization of the whole manufacturing service system. The method is also beneficial to promoting the melting development of the manufacturing industry, realizing the crossing development between the manufacturing industry and the service industry and efficiently sharing various key resources of the industrial economy.
With the continuous promotion of informatization and the gradual deepening of industrial internet application, higher requirements are put forward on data acquisition of the industrial internet in the aspects of massive real-time data processing, rapid information synchronization and the like. With the development of network systems, the demands of industrial internet devices for simple network device maintenance and fault monitoring are gradually increased to device maintenance and management.
At present, some equipment maintenance management methods based on the industrial internet exist, but data cannot be identified through data keywords generally, data which cannot be identified cannot be judged abnormally through the data transmission speed, the utilization rate of data acquisition is low, and abnormal data can affect the application of the data.
Disclosure of Invention
Therefore, the invention provides an equipment maintenance management method based on the industrial internet, which can effectively solve the technical problem that the utilization rate of the collected data is low because the data cannot be identified through the data keywords and the data which cannot be identified after being processed and then identified in the prior art.
In order to achieve the above object, the present invention provides an apparatus maintenance management method based on industrial internet, comprising:
step S1, the acquisition module acquires data generated by the equipment;
step S2, the uploading module uploads the data collected by the collecting module to the processing module for pre-processing of the identification;
step S3, the identification module identifies the data in the processing module, when identifying the data, the control module controls the identification module to identify the data according to the actual key word C of the data, and identifies the data which can not be identified again after replacing the key word;
step S4, when the identification module finishes identifying the data, the control module uploads the identified data to the storage module for storage;
in the step S3, when data identification is performed, the control module compares the actual keyword C with the preset keyword C0 to determine whether data can be identified, when data cannot be identified, the control module compares the actual transmission speed V of the data with the standard transmission speed of the data to determine whether data which cannot be identified is abnormal, if data is not abnormal, the comparison keyword Ct is compared with the actual keyword C to determine whether keyword replacement can be performed, if keyword replacement cannot be performed, the control module controls the parsing module to parse the data which cannot be identified, and if keyword replacement can be performed, the control module controls the keyword replacement module to perform keyword replacement on the data which cannot be identified and re-identify the replaced data;
the actual transmission speed V is obtained through an actual data quantity Q, a data transmission speed calculation parameter and a preset formula;
and the actual data quantity Q is obtained by screening through a screening module.
Further, in step S3, when data identification is performed, the control module obtains a keyword of the data acquired by the acquisition module, which is obtained by analysis by the analysis module, and sets the keyword as an actual keyword C, when the setting is completed, the control module compares the actual keyword C with a preset keyword C0 to determine whether the data can be identified, and when the data can be identified, the control module controls the identification module to identify the data where the keyword is located;
if the actual keyword C can be matched with the preset keyword C0, the control module determines that the data can be identified;
if the actual keyword C cannot be matched with the preset keyword C0, the control module determines that the data cannot be identified.
Further, when the control module judges that the data cannot be identified, the control module transmits the data which cannot be identified to the processing module and obtains the data transmission speed, the control module sets the data transmission speed as the actual data transmission speed V, and when the setting is finished, the control module compares the actual data transmission speed V with the standard data transmission speed to determine whether the data which cannot be identified is abnormal or not;
the control module is also provided with a data standard transmission speed comprising a data first standard transmission speed V1 and a data second standard transmission speed V2, wherein V1 is less than V2;
if V is less than V1, the control module judges that the data which can not be identified has abnormity;
if V1 is less than or equal to V2, the control module determines that there is no abnormality in the data that cannot be identified;
if V is larger than or equal to V2, the control module judges that the data which can not be identified is abnormal.
Further, when the control module judges that the data which cannot be identified is abnormal, the control module transmits the data which cannot be identified to the filtering module for data security filtering, when the filtering is completed, the data is transmitted to the processing module for re-determining whether the data is abnormal, and if the data is still abnormal, the control module transmits the data which cannot be identified to the abnormal module.
Further, when the control module judges that the data which cannot be identified is not abnormal, the control module acquires a replaceable keyword of the keyword replacement module and sets the replaceable keyword as a comparison keyword Ct, when the setting is finished, the control module compares the comparison keyword Ct with an actual keyword C to determine whether the keyword replacement can be carried out, and when the control module determines that the keyword replacement can be carried out, the control module controls the keyword replacement module to carry out the keyword replacement on the data which cannot be identified and transmits the replaced data to the analysis module to carry out the keyword analysis;
if the similarity between the comparative keyword Ct and the actual keyword C is greater than or equal to 90%, the control module judges that the keyword replacement can be carried out;
if the similarity between the comparative keyword Ct and the actual keyword C is less than 90%, the control module judges that the keyword replacement cannot be carried out.
Further, when the control module judges that keyword replacement cannot be performed, the control module transmits data which cannot be identified to the analysis module for data analysis to obtain new keywords which are not included in the analysis module, and the control module identifies the data which cannot be identified by using the new keywords as new identifiers.
Further, when the control module judges that the data cannot be identified, the control module controls the screening module to screen out the data capable of being identified and transmit the data to the identification module for data identification and acquires the data quantity of the data which is not screened out and cannot be identified, when the data is acquired, the control module sets the data quantity of the data incapable of being identified as an actual data quantity Q, and when the data is set, the control module compares the actual data quantity Q with a preset data quantity to determine a data transmission speed calculation parameter;
the control module is further provided with preset data quantity and data transmission speed calculation parameters, wherein the preset data quantity comprises a first preset data quantity Q1, a second preset data quantity Q2 and a third preset data quantity Q3, Q1 is more than Q2 and more than Q3, the data transmission speed calculation parameters comprise a first calculation parameter sigma 1 of data transmission speed, a second calculation parameter sigma 2 of data transmission speed, a third calculation parameter sigma 3 of data transmission speed and a fourth calculation parameter sigma 4 of data transmission speed, and sigma 1 is more than sigma 2 and more than sigma 3 and less than sigma 4;
if Q is less than Q1, the control module judges that the data transmission speed calculation parameter is sigma 1;
if Q1 is more than or equal to Q < Q2, the control module judges that the data transmission speed calculation parameter is sigma 2;
if Q2 is more than or equal to Q < Q3, the control module judges that the data transmission speed calculation parameter is sigma 3;
and if Q is larger than or equal to Q3, the control module judges that the data transmission speed calculation parameter is sigma 4.
Further, the control module determines that the transmission speed calculation parameter is σ i, setting i =1, 2,3,4, the control module determines the actual transmission speed V of the data,
when i =1, set V = Q × σ 1 × (Q/Q1);
when i =2, V = Q × σ 2 × [ (Q2-Q)/(Q-Q1) ];
when i =3, V = Q × σ 3 × [ (Q3-Q)/(Q-Q2) ];
when i =4, V = Q × σ 4 × (Q3/Q) is set.
Compared with the prior art, the method for maintaining and managing the equipment based on the industrial Internet has the advantages that the method comprises data acquisition, data uploading, data identification and data storage, when data identification is carried out, whether identification can be carried out on the data is determined by comparing an actual keyword with a preset keyword, when identification cannot be carried out on the data, the actual transmission speed of the data is compared with the standard transmission speed of the data to determine whether the data which cannot be identified is abnormal, if the data is not abnormal, a comparison keyword is compared with the actual keyword to determine whether keyword replacement can be carried out, if keyword replacement cannot be carried out, the control module controls the analysis module to analyze the data which cannot be identified, if keyword replacement can be carried out, the control module controls the keyword replacement module to carry out keyword replacement on the data which cannot be identified and re-identify the replaced data, the actual transmission speed is obtained through the actual data volume, the data transmission speed calculation parameters and a preset formula, and the actual data volume is obtained through screening by the screening module. Therefore, data can be identified through the data keywords, data which cannot be identified are identified again after keyword replacement is carried out on the data, or the data which cannot be identified are analyzed to obtain new identifications, the identification rate of the collected data is effectively improved, the collected data are classified, retrieval and matching of the data during subsequent use can be facilitated, the efficiency of arranging the data is effectively improved, and the utilization rate of the collected data is improved.
Particularly, the data which cannot be identified are subjected to abnormity judgment through the data transmission speed, and further the influence on the application of the data due to the abnormity of the acquired data can be effectively avoided.
Particularly, the data which are marked are uploaded to the storage module to be stored, so that the data can be quickly retrieved and accurately retrieved according to the keywords when the data are used.
Further, the invention compares the actual key word C with the preset key word C0 to determine whether the data can be identified, when the data can not be identified, the control module compares the actual data transmission speed V with the standard data transmission speed to determine whether the data which can not be identified is abnormal, if the data is not abnormal, the comparison key word Ct is compared with the actual key word C to determine whether the key word replacement can be carried out, if the key word replacement can not be carried out, the control module controls the analysis module to analyze the data which can not be identified, if the key word replacement can be carried out, the control module controls the key word replacement module to carry out the key word replacement on the data which can not be identified and identify the replaced data again, wherein, the actual transmission speed V is obtained by the actual data quantity Q, the data transmission speed calculation parameter and the preset formula, and the actual data quantity Q is obtained by screening through a screening module. Therefore, data can be identified through the data keywords, data which cannot be identified are identified again after keyword replacement is carried out on the data, or the data which cannot be identified are analyzed to obtain new identifications, the identification rate of the collected data is effectively improved, the collected data are classified, retrieval and matching of the data during subsequent use can be facilitated, the efficiency of arranging the data is effectively improved, and the utilization rate of the collected data is improved.
Further, the method and the device determine whether the data can be identified by comparing the actual keyword C with the preset keyword C0, so that the data can be identified by the data keyword, the data which cannot be identified can be identified again after keyword replacement, or the data which cannot be identified can be analyzed to obtain a new identifier, the identification rate of the acquired data is effectively improved, the acquired data can be classified, retrieval and matching of the data during subsequent use can be facilitated, the efficiency of sorting the data is effectively improved, and the utilization rate of the acquired data is improved.
Furthermore, the actual data transmission speed V is compared with the standard data transmission speed to determine whether the data which cannot be identified is abnormal or not, so that the data can be identified through the data keywords and the data which cannot be identified is subjected to keyword replacement and then is identified again or the data which cannot be identified is analyzed to obtain a new identifier, the identification rate of the acquired data is effectively improved, the acquired data is classified, retrieval and matching of the data during subsequent use can be facilitated, the efficiency of data arrangement is effectively improved, and the utilization rate of the acquired data is improved.
Furthermore, the comparison keyword Ct is compared with the actual keyword C to determine whether the keyword replacement can be carried out or not, so that the data can be identified through the data keyword, the data which cannot be identified can be identified again after the keyword replacement, or the data which cannot be identified can be analyzed to obtain a new identifier, the identification rate of the acquired data is effectively improved, the acquired data can be classified, the retrieval and matching of the data during subsequent use can be facilitated, the efficiency of data arrangement is effectively improved, and the utilization rate of the acquired data is improved.
Furthermore, the actual data quantity Q is compared with the preset data quantity to determine the data transmission speed calculation parameter, and the setting of the transmission speed calculation parameter aims to improve the calculation accuracy, so that data can be identified through data keywords, data which cannot be identified are identified again after keyword replacement, or data which cannot be identified are analyzed to obtain new identification, the identification rate of the acquired data is effectively improved, the acquired data are classified, retrieval and matching of the data during subsequent use can be facilitated, the efficiency of data sorting is effectively improved, and the utilization rate of the acquired data is improved.
Drawings
Fig. 1 is a schematic structural diagram of an industrial internet-based device maintenance management apparatus according to an embodiment of the present invention;
FIG. 2 is a flow chart of an industrial Internet-based device maintenance management method according to an embodiment of the present invention;
the notation in the figure is: 1. an acquisition module; 2. an uploading module; 3. a processing module; 4. an identification module; 5. an analysis module; 6. a filtration module; 7. a keyword replacement module; 8. a storage module; 9. an analysis module; 10. a screening module; 11. a control module; 12. an exception module; 13. and a crushing module.
Detailed Description
In order that the objects and advantages of the invention will be more clearly understood, the invention is further described below with reference to examples; it should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention, and do not limit the scope of the present invention.
It should be noted that in the description of the present invention, the terms of direction or positional relationship indicated by the terms "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, which are only for convenience of description, and do not indicate or imply that the device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
Referring to fig. 1 and fig. 2, fig. 1 is a schematic structural diagram of an apparatus for maintaining and managing equipment based on an industrial internet according to an embodiment of the present invention, and fig. 2 is a schematic flow diagram of an apparatus for maintaining and managing equipment based on an industrial internet according to an embodiment of the present invention, where the present invention provides an apparatus for maintaining and managing equipment based on an industrial internet, including:
the acquisition module 1 is used for acquiring data generated by equipment;
the uploading module 2 is connected with the acquisition module 1 and used for uploading the data acquired by the acquisition module 1 to the processing module 3;
the processing module 3 is connected with the long transmission module and is used for carrying out data identification preprocessing;
an identification module 4 connected with the processing module 3 for data identification;
the analysis module 5 is connected with the processing module 3 and used for analyzing the data in the processing module 3 to obtain an actual keyword C;
a filtering module 6 connected to the processing module 3 for filtering abnormal data;
a keyword replacement module 7 connected to the processing module 3 for performing keyword replacement on data which cannot be identified and can be subjected to keyword replacement;
the storage module 8 is connected with the identification module 4 and used for storing the identified data;
the analysis module 9 is connected with the processing module 3 and used for carrying out data analysis on data which cannot be identified to obtain keywords which are not contained in the analysis module 5 so as to identify the data;
the screening module 10 is connected with the identification module 4 and is used for screening out data which can be identified by data in the identification module 4 to obtain the actual data quantity Q of the data which cannot be represented;
a control module 11, connected to the processing module 3, the identification module 4, the analysis module 5, the filtering module 6, the keyword replacing module 7, the storage module 8, the parsing module 9 and the screening module 10, respectively, for controlling data identification and data storage processes;
the abnormal module 12 is connected with the filtering module 6 and used for placing the data which is still abnormal after being filtered by the filtering module 6;
and the crushing module 13 is connected with the exception module 12 and is used for performing data crushing on the remaining exception data after the exception module 12 performs centralized processing.
With reference to fig. 1, based on the above device maintenance management apparatus based on industrial internet, the device maintenance management method based on industrial internet according to this embodiment includes:
step S1, the acquisition module 1 acquires data generated by the equipment;
step S2, the uploading module 2 uploads the data collected by the collecting module 1 to the processing module 3 for pre-processing of the identification;
step S3, the identification module 4 identifies the data in the processing module 3, when identifying the data, the control module 11 controls the identification module 4 to identify the data according to the actual keyword C of the data, and identifies the data which can not be identified again after replacing the keyword;
step S4, when the identification module 4 completes identifying the data, the control module 11 uploads the identified data to the storage module 8 for storage;
in the step S3, when data identification is performed, the control module 11 compares the actual keyword C with the preset keyword C0 to determine whether data can be identified, when data cannot be identified, the control module 11 compares the actual transmission speed V of the data with the standard transmission speed of the data to determine whether data which cannot be identified is abnormal, if data is not abnormal, the comparison keyword Ct is compared with the actual keyword C to determine whether keyword replacement can be performed, if keyword replacement cannot be performed, the control module 11 controls the parsing module 9 to parse data which cannot be identified, and if keyword replacement can be performed, the control module 11 controls the keyword replacement module 7 to perform keyword replacement on data which cannot be identified and re-identify the replaced data;
the actual transmission speed V is obtained through an actual data quantity Q, a data transmission speed calculation parameter and a preset formula;
the actual data amount Q is obtained by screening by the screening module 10.
In the embodiment, the data with the completed marks are uploaded to the storage module 8 for storage, so that when the data are in use, the data are quickly retrieved and accurately retrieved according to the keywords, the data abnormity is judged, and the condition that the collected data are abnormal and the application of the data is influenced is effectively avoided. A PLC control board is provided in the control module 11.
Specifically, the invention compares the actual key word C with the preset key word C0 to determine whether the data can be identified, when the data can not be identified, the control module 11 compares the actual data transmission speed V with the standard data transmission speed to determine whether the data which can not be identified is abnormal, if the data is not abnormal, the comparison key word Ct is compared with the actual key word C to determine whether the key word replacement can be performed, if the key word replacement can not be performed, the control module 11 controls the parsing module 9 to parse the data which can not be identified, if the key word replacement can be performed, the control module 11 controls the key word replacement module 7 to perform the key word replacement on the data which can not be identified and re-identify the replaced data, wherein the actual transmission speed V is obtained by the actual data amount Q, the data transmission speed calculation parameter and the preset formula, the actual data amount Q is obtained by screening by the screening module 10. Therefore, data can be identified through the data keywords, data which cannot be identified are identified again after keyword replacement is carried out on the data, or the data which cannot be identified are analyzed to obtain new identifications, the identification rate of the collected data is effectively improved, the collected data are classified, retrieval and matching of the data during subsequent use can be facilitated, the efficiency of arranging the data is effectively improved, and the utilization rate of the collected data is improved.
Specifically, in step S3, when data identification is performed, the control module 11 obtains a keyword of data acquired by the acquisition module 1, which is obtained by analysis by the analysis module 5, and sets the keyword as an actual keyword C, when the setting is completed, the control module 11 compares the actual keyword C with a preset keyword C0 to determine whether data can be identified, and when the control module 11 determines that data can be identified, the control identification module 4 identifies the data where the keyword is located;
if the actual keyword C can be matched with the preset keyword C0, the control module 11 determines that the data can be identified;
if the actual keyword C cannot be matched with the preset keyword C0, the control module 11 determines that the data cannot be identified.
In this embodiment, each acquired data has its own keyword after being analyzed by the analysis module 5, and the data where the keyword is located is identified to indicate that the data is identified and classified. The preset keyword C0 is set by the control module 11.
Specifically, the actual keyword C is compared with the preset keyword C0 to determine whether the data can be identified, so that the data can be identified through the data keyword, the data which cannot be identified can be identified again after keyword replacement, or the data which cannot be identified can be analyzed to obtain a new identifier, the identification rate of the acquired data is effectively improved, the acquired data can be classified, retrieval and matching during subsequent use of the data can be facilitated, the efficiency of data arrangement is effectively improved, and the utilization rate of the acquired data is improved.
Specifically, when the control module 11 determines that the data cannot be identified, the control module 11 transmits the data that cannot be identified to the processing module 3 and obtains a data transmission speed, the control module 11 sets the data transmission speed as an actual data transmission speed V, and when the setting is completed, the control module 11 compares the actual data transmission speed V with a standard data transmission speed to determine whether the data that cannot be identified is abnormal;
the control module 11 is further provided with a data standard transmission speed, including a data first standard transmission speed V1 and a data second standard transmission speed V2, wherein V1 is less than V2;
if V is less than V1, the control module 11 judges that the data which can not be identified has abnormity;
if V1 is less than or equal to V < V2, the control module 11 determines that there is no abnormality in the data that cannot be identified;
if V is larger than or equal to V2, the control module 11 judges that the data which can not be identified is abnormal.
Specifically, the actual data transmission speed V is compared with the standard data transmission speed to determine whether data which cannot be identified is abnormal, so that the data can be identified through data keywords, the data which cannot be identified is subjected to keyword replacement and then is identified again or the data which cannot be identified is analyzed to obtain a new identifier, the identification rate of the acquired data is effectively improved, the acquired data is classified, retrieval and matching of the data during subsequent use can be facilitated, the efficiency of data arrangement is effectively improved, and the utilization rate of the acquired data is improved.
Specifically, when the control module 11 determines that there is an abnormality in the data that cannot be identified, the control module 11 transmits the data that cannot be identified to the filtering module 6 for data security filtering, and when the filtering is completed, transmits the data to the processing module 3 for re-determining whether the data is abnormal, and if the data is still abnormal, the control module 11 transmits the data that cannot be identified to the abnormal module 12.
In this embodiment, the abnormal data is processed by the abnormal module 12 in a centralized manner when a certain amount of data is collected, the centralized processing manner is to screen normal data, and the remaining abnormal data is transmitted to the pulverizing module 13 for data pulverization.
Specifically, when the control module 11 determines that there is no abnormality in the data that cannot be identified, the control module 11 obtains the replaceable keyword of the keyword replacement module 7 and sets the replaceable keyword as a comparison keyword Ct, when the setting is completed, the control module 11 compares the comparison keyword Ct with the actual keyword C to determine whether keyword replacement can be performed, and when the control module 11 determines that keyword replacement can be performed, the control module 11 controls the keyword replacement module 7 to perform keyword replacement on the data that cannot be identified and transmits the replaced data to the analysis module 5 for keyword analysis;
if the similarity between the comparative keyword Ct and the actual keyword C is greater than or equal to 90%, the control module 11 determines that keyword replacement can be performed;
if the similarity between the comparison keyword Ct and the actual keyword C is less than 90%, the control module 11 determines that the keyword replacement cannot be performed.
Specifically, the comparison keyword Ct is compared with the actual keyword C to determine whether the keyword replacement can be performed or not, so that the data can be identified through the data keyword, the data which cannot be identified can be identified again after the keyword replacement, or the data which cannot be identified can be analyzed to obtain a new identifier, the identification rate of the acquired data is effectively improved, the acquired data can be classified, retrieval and matching of the data during subsequent use can be facilitated, the efficiency of data arrangement is effectively improved, and the utilization rate of the acquired data is improved.
Specifically, when the control module 11 determines that the keyword replacement cannot be performed, the control module 11 transmits the data that cannot be identified to the analysis module 9 for data analysis to obtain a new keyword that is not included in the analysis module 5, and the control module 11 identifies the data that cannot be identified by using the new keyword as a new identifier.
In the embodiment, the keywords are redetermined and identified for the data which cannot be identified, so that the retrieval and matching of the data in the subsequent use process can be facilitated, the efficiency of arranging the data is effectively improved, and the utilization rate of the collected data is improved.
Specifically, when the control module 11 determines that the data cannot be identified, the control module 11 controls the screening module 10 to screen out data that can be identified and transmit the data to the identification module 4 for data identification and to obtain the data amount of the data that cannot be identified and is not screened out, when the data is completely obtained, the control module 11 sets the data amount of the data that cannot be identified as an actual data amount Q, and when the data is completely obtained, the control module 11 compares the actual data amount Q with a preset data amount to determine a data transmission speed calculation parameter;
the control module 11 is further provided with preset data quantity and data transmission speed calculation parameters, wherein the preset data quantity comprises a first preset data quantity Q1, a second preset data quantity Q2 and a third preset data quantity Q3, Q1 is more than Q2 and more than Q3, the data transmission speed calculation parameters comprise a data transmission speed first calculation parameter sigma 1, a data transmission speed second calculation parameter sigma 2, a data transmission speed third calculation parameter sigma 3 and a data transmission speed fourth calculation parameter sigma 4, and sigma 1 is more than sigma 2 and more than sigma 3 and less than sigma 4;
if Q is less than Q1, the control module 11 determines that the data transmission speed calculation parameter is σ 1;
if Q1 is not less than Q < Q2, the control module 11 determines that the data transmission speed calculation parameter is sigma 2;
if Q2 is not less than Q < Q3, the control module 11 determines that the data transmission speed calculation parameter is sigma 3;
if Q is larger than or equal to Q3, the control module 11 determines that the data transmission speed calculation parameter is sigma 4.
Specifically, the actual data quantity Q is compared with the preset data quantity to determine the data transmission speed calculation parameter, and the setting of the transmission speed calculation parameter aims to improve the calculation accuracy, so that data can be identified through data keywords, data which cannot be identified are identified again after keyword replacement, or data which cannot be identified are analyzed to obtain new identification, the identification rate of the acquired data is effectively improved, the acquired data are classified, retrieval and matching of the data during subsequent use can be facilitated, the data sorting efficiency is effectively improved, and the utilization rate of the acquired data is improved.
Specifically, when the control module 11 determines that the transmission speed calculation parameter is σ i, i =1, 2,3,4 is set, the control module 11 determines the actual data transmission speed V,
when i =1, set V = Q × σ 1 × (Q/Q1);
when i =2, V = Q × σ 2 × [ (Q2-Q)/(Q-Q1) ];
when i =3, V = Q × σ 3 × [ (Q3-Q)/(Q-Q2) ];
when i =4, V = Q × σ 4 × (Q3/Q) is set.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
Claims (8)
1. An equipment maintenance management method based on industrial internet is characterized by comprising the following steps:
step S1, the acquisition module acquires data generated by the equipment;
step S2, the uploading module uploads the data collected by the collecting module to the processing module for pre-processing of the identification;
step S3, the identification module identifies the data in the processing module, when identifying the data, the control module controls the identification module to identify the data according to the actual key word C of the data, and identifies the data which can not be identified again after replacing the key word;
step S4, when the identification module finishes identifying the data, the control module uploads the identified data to the storage module for storage;
in the step S3, when data identification is performed, the control module compares the actual keyword C with the preset keyword C0 to determine whether data can be identified, when data cannot be identified, the control module compares the actual transmission speed V of the data with the standard transmission speed of the data to determine whether data which cannot be identified is abnormal, if data is not abnormal, the comparison keyword Ct is compared with the actual keyword C to determine whether keyword replacement can be performed, if keyword replacement cannot be performed, the control module controls the parsing module to parse the data which cannot be identified, and if keyword replacement can be performed, the control module controls the keyword replacement module to perform keyword replacement on the data which cannot be identified and re-identify the replaced data;
the actual transmission speed V is obtained through an actual data quantity Q, a data transmission speed calculation parameter and a preset formula;
and the actual data quantity Q is obtained by screening through a screening module.
2. The method for maintaining and managing equipment based on the industrial internet as claimed in claim 1, wherein in the step S3, when data identification is performed, the control module obtains the keyword of the data collected by the collection module analyzed by the analysis module and sets the keyword as an actual keyword C, when the setting is completed, the control module compares the actual keyword C with a preset keyword C0 to determine whether the data can be identified, and when the control module determines that the data can be identified, the control identification module identifies the data where the keyword is located;
if the actual keyword C can be matched with the preset keyword C0, the control module determines that the data can be identified;
if the actual keyword C cannot be matched with the preset keyword C0, the control module determines that the data cannot be identified.
3. The industrial internet-based equipment maintenance management method according to claim 2, wherein when the control module determines that the data cannot be identified, the control module transmits the data that cannot be identified to the processing module and obtains a data transmission speed, the control module sets the data transmission speed as an actual data transmission speed V, and when the setting is completed, the control module compares the actual data transmission speed V with a standard data transmission speed to determine whether the data that cannot be identified is abnormal;
the control module is also provided with a data standard transmission speed comprising a data first standard transmission speed V1 and a data second standard transmission speed V2, wherein V1 is less than V2;
if V is less than V1, the control module judges that the data which can not be identified has abnormity;
if V1 is less than or equal to V2, the control module determines that there is no abnormality in the data that cannot be identified;
if V is larger than or equal to V2, the control module judges that the data which can not be identified is abnormal.
4. The industrial internet-based equipment maintenance management method according to claim 3, wherein when the control module determines that the data that cannot be identified is abnormal, the control module transmits the data that cannot be identified to the filtering module to perform data security filtering, when the filtering is completed, the data that cannot be identified is transmitted to the processing module to determine again whether the data is abnormal, and if the data is still abnormal, the control module transmits the data that cannot be identified to the abnormal module.
5. The industrial internet-based equipment maintenance management method according to claim 3, wherein when the control module determines that there is no abnormality in the data that cannot be identified, the control module obtains the replaceable keyword of the keyword replacement module and sets the replaceable keyword as a comparison keyword Ct, when the setting is completed, the control module compares the comparison keyword Ct with the actual keyword C to determine whether keyword replacement can be performed, and when the control module determines that keyword replacement can be performed, the control module controls the keyword replacement module to perform keyword replacement on the data that cannot be identified and transmits the replaced data to the analysis module for keyword analysis;
if the similarity between the comparative keyword Ct and the actual keyword C is greater than or equal to 90%, the control module judges that the keyword replacement can be carried out;
if the similarity between the comparative keyword Ct and the actual keyword C is less than 90%, the control module judges that the keyword replacement cannot be carried out.
6. The industrial internet-based equipment maintenance management method according to claim 5, wherein when the control module determines that keyword replacement is not possible, the control module transmits data that cannot be identified to the analysis module for data analysis to obtain a new keyword that is not included in the analysis module, and the control module identifies the data that cannot be identified by using the new keyword as a new identifier.
7. The industrial internet-based equipment maintenance management method according to claim 2, wherein when the control module determines that the data cannot be identified, the control module controls the screening module to screen out the data that can be identified and transmit the data to the identification module for data identification and obtain the data amount of the data that cannot be identified and that is not screened out, when the data is completely obtained, the control module sets the data amount of the data that cannot be identified as an actual data amount Q, and when the data is completely obtained, the control module compares the actual data amount Q with a preset data amount to determine a data transmission speed calculation parameter;
the control module is further provided with preset data quantity and data transmission speed calculation parameters, wherein the preset data quantity comprises a first preset data quantity Q1, a second preset data quantity Q2 and a third preset data quantity Q3, Q1 is more than Q2 and more than Q3, the data transmission speed calculation parameters comprise a first calculation parameter sigma 1 of data transmission speed, a second calculation parameter sigma 2 of data transmission speed, a third calculation parameter sigma 3 of data transmission speed and a fourth calculation parameter sigma 4 of data transmission speed, and sigma 1 is more than sigma 2 and more than sigma 3 and less than sigma 4;
if Q is less than Q1, the control module judges that the data transmission speed calculation parameter is sigma 1;
if Q1 is more than or equal to Q < Q2, the control module judges that the data transmission speed calculation parameter is sigma 2;
if Q2 is more than or equal to Q < Q3, the control module judges that the data transmission speed calculation parameter is sigma 3;
and if Q is larger than or equal to Q3, the control module judges that the data transmission speed calculation parameter is sigma 4.
8. The industrial internet-based device maintenance management method according to claim 7, wherein when the control module determines that the transmission speed calculation parameter is σ i, i =1, 2,3,4 is set, the control module determines the actual data transmission speed V,
when i =1, set V = Q × σ 1 × (Q/Q1);
when i =2, V = Q × σ 2 × [ (Q2-Q)/(Q-Q1) ];
when i =3, V = Q × σ 3 × [ (Q3-Q)/(Q-Q2) ];
when i =4, V = Q × σ 4 × (Q3/Q) is set.
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