CN113256081B - Meat slaughtering process internal tracing method and device based on industrial internet identification - Google Patents
Meat slaughtering process internal tracing method and device based on industrial internet identification Download PDFInfo
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Abstract
The meat slaughter process internal tracing method and device based on the industrial internet identification can determine the process content of the slaughter equipment operation log to be traced under at least two production line density detection indexes based on the equipment state data of the slaughter equipment operation log to be traced under at least two production line density detection indexes, and further trace the equipment process data of the slaughter equipment operation log to be traced according to the process content of the slaughter equipment operation log to be traced under at least two production line density detection indexes. The process content of the slaughter equipment operation logs under different production line density detection indexes is considered when the slaughter equipment operation logs are traced, so that the equipment process data tracing can be ensured to be matched with the actual equipment state and production line state as far as possible, and the data generated in each link of the slaughter production line can be accurately and effectively traced.
Description
Technical Field
The invention relates to the technical field of industrial internet, in particular to a meat slaughtering process internal tracing method and device based on industrial internet identification.
Background
The Industrial Internet (Industrial Internet) is a result of the convergence of global Industrial systems with advanced computing, analytical, 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.
Currently, industrial internet can be organically combined with meat slaughtering technology, so that the operation efficiency of meat slaughtering factories is improved. Generally speaking, in order to ensure subsequent quality control, related slaughtering process data needs to be traced, however, the related technology has the problem that the data tracing efficiency is low.
Disclosure of Invention
In order to solve the problems, the invention provides a meat slaughter process internal tracing method and device based on industrial internet identification.
In a first aspect, an internal meat slaughtering process tracing method based on industrial internet identification is provided, and is applied to an industrial internet cloud server, and the method comprises the following steps:
determining the process content of the slaughter equipment operation log to be traced under at least two production line density detection indexes according to the equipment state data of the slaughter equipment operation log to be traced under at least two production line density detection indexes;
and according to the process content of the slaughter equipment operation logs to be traced under the at least two production line density detection indexes, carrying out equipment process data tracing on the slaughter equipment operation logs to be traced.
Further, determining the process content of the slaughter equipment operation log to be traced under the at least two production line density detection indexes according to the equipment state data of the slaughter equipment operation log to be traced under the at least two production line density detection indexes, includes:
acquiring equipment state data of an operation log of slaughter equipment to be traced under at least two production line density detection indexes;
determining the process content of the slaughter equipment operation log to be traced under the at least two production line density detection indexes according to the equipment state data of the slaughter equipment operation log to be traced under the at least two production line density detection indexes;
according to the process content of the slaughter equipment operation logs to be traced under the at least two production line density detection indexes, the process data tracing of the slaughter equipment operation logs to be traced comprises the following steps:
obtaining production line density correlation data of the slaughter equipment operation logs among the slaughter equipment operation logs to be traced according to the process contents of the slaughter equipment operation logs to be traced under the at least two production line density detection indexes;
determining slaughter data transmission identifiers of the slaughter equipment operation logs to be traced according to production line density correlation data of the slaughter equipment operation logs among the slaughter equipment operation logs to be traced;
and equipment process data tracing is carried out on each slaughter equipment operation log to be traced through the slaughter data transmission identification.
Further, the acquiring device state data of the operation log of the slaughtering device to be traced under at least two production line density detection indexes comprises:
collecting slaughter equipment running logs to be traced in a preset time period and equipment state data of the slaughter equipment running logs to be traced called by associated slaughter equipment;
and acquiring the equipment state data of the slaughter equipment running logs to be traced in the preset time period under at least two production line density detection indexes according to the slaughter equipment running logs to be traced in the preset time period and the associated slaughter equipment calling the equipment state data of the slaughter equipment running logs to be traced.
Further, the production line density detection indexes comprise a first production line density detection index, a second production line density detection index and a third production line density detection index; according to the slaughter equipment running log to be traced back in the preset time period and the associated slaughter equipment, calling the equipment state data of the slaughter equipment running log to be traced back to obtain the equipment state data of the slaughter equipment running log to be traced back in the preset time period under at least two production line density detection indexes, the method comprises the following steps:
calling equipment state data of the slaughter equipment operation log to be traced according to the associated slaughter equipment, and determining a matching result between the associated slaughter equipment and the slaughter equipment operation log to be traced in a preset time period as equipment state data of the slaughter equipment operation log to be traced under the first production line density detection index;
extracting a log event label from the slaughter equipment operation log to be traced;
acquiring log data of the log event label in the slaughter equipment running log to be traced in the preset time period, and identifying the log data as equipment state data of the slaughter equipment running log to be traced under the second production line density detection index;
and according to the matching result between the associated slaughtering equipment and the slaughtering equipment running log to be traced and the log data of the log event label in the slaughtering equipment running log to be traced in the preset time period, confirming the matching result of the log data of the associated slaughtering equipment and the log event label in the slaughtering equipment running log to be traced as the equipment state data of the slaughtering equipment running log to be traced under the third production line density detection index.
Further, determining the process content of the slaughter equipment operation log to be traced under the at least two production line density detection indexes according to the equipment state data of the slaughter equipment operation log to be traced under the at least two production line density detection indexes comprises:
according to the equipment state data of the slaughter equipment operation log to be traced under at least two production line density detection indexes, establishing state diagram data of the slaughter equipment operation log to be traced under the at least two production line density detection indexes;
and identifying the state diagram data to obtain the process content of the slaughter equipment operation logs to be traced under the at least two production line density detection indexes.
Further, according to the device state data of the slaughter device operation logs to be traced under at least two production line density detection indexes, establishing state diagram data of the slaughter device operation logs to be traced under the at least two production line density detection indexes, including:
respectively constructing first state diagram data, second state diagram data and third state diagram data according to the equipment state data of the slaughter equipment operation log to be traced under at least two production line density detection indexes; the first state diagram data are used for representing the matching result between the flow content of the associated slaughtering equipment and the flow content of the slaughtering equipment running log, the second state diagram data are used for representing the matching result between the flow content of the slaughtering equipment running log and the log event tag attribute, and the third state diagram data are used for representing the matching result between the flow content of the associated slaughtering equipment and the log event tag attribute;
respectively identifying the first state diagram data, the second state diagram data and the third state diagram data as state diagram data of the slaughter equipment operation log to be traced under the density detection indexes of the at least two production lines;
if the state diagram data is the first state diagram data or the second state diagram data, identifying the state diagram data to obtain the process content of the slaughter equipment operation logs to be traced under the at least two production line density detection indexes, wherein the process content comprises the following steps of: and identifying the state diagram data to obtain the process content of the slaughter equipment operation log, wherein the process content is used as the process content of the slaughter equipment operation log to be traced under the corresponding production line density detection index.
Further, if the state diagram data is the third state diagram data, identifying the state diagram data to obtain the process content of the slaughter equipment operation log to be traced under the at least two production line density detection indexes, includes:
identifying the state diagram data to obtain the log event label attribute in the operating log of the slaughtering equipment to be traced;
acquiring log data of the log event label in the slaughter equipment operation log to be traced as log data corresponding to the log event label attribute;
and obtaining the process content of the slaughter equipment operation log according to the log event label attribute and the corresponding log data, and taking the process content as the process content of the slaughter equipment operation log to be traced under the corresponding production line density detection index.
Further, the obtaining of the production line density correlation data of the slaughter equipment operation logs between the slaughter equipment operation logs to be traced according to the process contents of the slaughter equipment operation logs to be traced under the at least two production line density detection indexes comprises:
calculating correlation coefficients of every two slaughter equipment operation logs to be traced under at least two production line density detection indexes according to the process contents of the slaughter equipment operation logs to be traced under the at least two production line density detection indexes;
and obtaining the production line density correlation data of the slaughter equipment operation logs between the slaughter equipment operation logs to be traced according to the correlation coefficients of the two slaughter equipment operation logs to be traced under at least two production line density detection indexes.
Further, the determining the slaughter data transmission identifier of each slaughter equipment operation log to be traced according to the production line density associated data of the slaughter equipment operation logs between the slaughter equipment operation logs to be traced comprises:
and respectively according to the production line density associated data of the slaughter equipment running logs to be traced between the slaughter equipment running logs to be traced, the production line density associated data of the slaughter equipment running logs to be traced between the slaughter equipment running logs to be traced is larger than a first preset production line density and smaller than a second preset production line density, and the production line density associated data of the slaughter equipment running logs to be traced are used as slaughter data transmission identifiers of the slaughter equipment running logs to be traced.
In a second aspect, an internal meat product slaughtering process tracing device based on industrial internet identification is provided, and is applied to an industrial internet cloud server, the device includes:
the process content determining module is used for determining the process content of the slaughter equipment operation log to be traced under at least two production line density detection indexes according to the equipment state data of the slaughter equipment operation log to be traced under the at least two production line density detection indexes;
and the flow data tracing module is used for tracing the equipment flow data of the slaughter equipment operation logs to be traced according to the flow contents of the slaughter equipment operation logs to be traced under the at least two production line density detection indexes.
In a third aspect, an industrial internet cloud server is provided, which includes a processor and a memory, the processor and the memory are in communication with each other, and the processor is configured to retrieve a computer program from the memory and implement the method of the first aspect by running the computer program.
In a fourth aspect, there is provided a computer readable storage medium having stored thereon a computer program which, when executed, implements the method of the first aspect.
The meat slaughter process internal tracing method and device based on the industrial internet identification provided by the embodiment of the invention can determine the process content of the slaughter equipment operation log to be traced under at least two production line density detection indexes based on the equipment state data of the slaughter equipment operation log to be traced under at least two production line density detection indexes, and further trace the equipment process data of the slaughter equipment operation log to be traced according to the process content of the slaughter equipment operation log to be traced under at least two production line density detection indexes. The process content of the slaughter equipment operation logs under different production line density detection indexes is considered when the slaughter equipment operation logs are traced, so that the equipment process data tracing can be ensured to be matched with the actual equipment state and production line state as far as possible, and the data generated in each link of the slaughter production line can be accurately and effectively traced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a flowchart of an internal meat slaughtering process tracing method based on industrial internet identification according to an embodiment of the present invention.
Fig. 2 is a block diagram of an internal traceability device for a meat slaughtering process based on industrial internet identification according to an embodiment of the present invention.
Detailed Description
In order to better understand the technical solutions of the present invention, the following detailed descriptions of the technical solutions of the present invention are provided with the accompanying drawings and the specific embodiments, and it should be understood that the specific features in the embodiments and the examples of the present invention are the detailed descriptions of the technical solutions of the present invention, and are not limitations of the technical solutions of the present invention, and the technical features in the embodiments and the examples of the present invention may be combined with each other without conflict.
In order to improve the technical problems in the prior art, the inventor innovatively provides an internal meat slaughter process tracing method and device based on industrial internet identification, which can determine the process content of the slaughter equipment operation log to be traced under at least two production line density detection indexes based on the equipment state data of the slaughter equipment operation log to be traced under at least two production line density detection indexes, and further trace the equipment process data of the slaughter equipment operation log to be traced under at least two production line density detection indexes according to the process content of the slaughter equipment operation log to be traced under the at least two production line density detection indexes. The process content of the slaughter equipment operation logs under different production line density detection indexes is considered when the slaughter equipment operation logs are traced, so that the equipment process data tracing can be ensured to be matched with the actual equipment state and production line state as far as possible, and the data generated in each link of the slaughter production line can be accurately and effectively traced.
Fig. 1 shows an internal meat slaughtering process tracing method based on industrial internet identification, which is applied to an industrial internet cloud server and comprises the following steps S10 and S20.
Step S10, determining the process content of the slaughter equipment operation log to be traced under at least two production line density detection indexes according to the equipment state data of the slaughter equipment operation log to be traced under the at least two production line density detection indexes.
For example, the slaughtering equipment operation logs can be called from a preset storage space, the production line density detection indexes are used for distinguishing different slaughtering production lines, and the process content is used for recording the slaughtering equipment operation logs in a time sequence layer. Based on this, in some alternative embodiments, determining, by using the device state data of the slaughter device operation log to be traced under at least two production line density detection indexes, the process content of the slaughter device operation log to be traced under the at least two production line density detection indexes includes: acquiring equipment state data of an operation log of slaughter equipment to be traced under at least two production line density detection indexes; and determining the process content of the slaughter equipment operation log to be traced under the at least two production line density detection indexes according to the equipment state data of the slaughter equipment operation log to be traced under the at least two production line density detection indexes. By the design, the integrity of the flow content can be ensured.
In some possible embodiments, the acquiring device state data of the slaughter device operation log to be traced under at least two production line density detection indexes includes: collecting slaughter equipment running logs to be traced in a preset time period and equipment state data of the slaughter equipment running logs to be traced called by associated slaughter equipment; and acquiring the equipment state data of the slaughter equipment running logs to be traced in the preset time period under at least two production line density detection indexes according to the slaughter equipment running logs to be traced in the preset time period and the associated slaughter equipment calling the equipment state data of the slaughter equipment running logs to be traced. Therefore, the discrimination between the equipment state data under different production line density detection indexes can be ensured, and the data tracing is convenient to follow-up.
In some other embodiments, the production line density detection index includes a first production line density detection index, a second production line density detection index, and a third production line density detection index, and based on this, obtaining, in the preset time period, the device state data of the slaughter device running log to be traced back according to the slaughter device running log to be traced back in the preset time period and the associated slaughter device call, where the slaughter device running log to be traced back is under at least two production line density detection indexes, may include: calling equipment state data of the slaughter equipment operation log to be traced according to the associated slaughter equipment, and determining a matching result between the associated slaughter equipment and the slaughter equipment operation log to be traced in a preset time period as equipment state data of the slaughter equipment operation log to be traced under the first production line density detection index; extracting a log event label from the slaughter equipment operation log to be traced; acquiring log data of the log event label in the slaughter equipment running log to be traced in the preset time period, and identifying the log data as equipment state data of the slaughter equipment running log to be traced under the second production line density detection index; and according to the matching result between the associated slaughtering equipment and the slaughtering equipment running log to be traced and the log data of the log event label in the slaughtering equipment running log to be traced in the preset time period, confirming the matching result of the log data of the associated slaughtering equipment and the log event label in the slaughtering equipment running log to be traced as the equipment state data of the slaughtering equipment running log to be traced under the third production line density detection index. Therefore, the discrimination between the equipment state data under different production line density detection indexes can be ensured, and the data tracing is convenient to follow-up.
In some examples, the step of "determining the process content of the slaughter equipment operation log to be traced under at least two production line density detection indexes according to the equipment state data of the slaughter equipment operation log to be traced under at least two production line density detection indexes" may further include the following steps: according to the equipment state data of the slaughter equipment operation log to be traced under at least two production line density detection indexes, establishing state diagram data of the slaughter equipment operation log to be traced under the at least two production line density detection indexes; and identifying the state diagram data to obtain the process content of the slaughter equipment operation logs to be traced under the at least two production line density detection indexes. Therefore, by constructing the state diagram data, the process content of the slaughter equipment operation logs to be traced under the at least two production line density detection indexes can be obtained based on the diagram data, and the data volume of the diagram data can be reduced on the premise of improving the information expression performance, so that the data tracing efficiency of the industrial internet cloud server is improved.
In some other examples, constructing, according to the device state data of the slaughter device operation log to be traced under at least two production line density detection indexes, state diagram data of the slaughter device operation log to be traced under the at least two production line density detection indexes includes: respectively constructing first state diagram data, second state diagram data and third state diagram data according to the equipment state data of the slaughter equipment operation log to be traced under at least two production line density detection indexes; the first state diagram data are used for representing the matching result between the flow content of the associated slaughtering equipment and the flow content of the slaughtering equipment running log, the second state diagram data are used for representing the matching result between the flow content of the slaughtering equipment running log and the log event tag attribute, and the third state diagram data are used for representing the matching result between the flow content of the associated slaughtering equipment and the log event tag attribute; respectively identifying the first state diagram data, the second state diagram data and the third state diagram data as state diagram data of the slaughter equipment operation log to be traced under the density detection indexes of the at least two production lines; if the state diagram data is the first state diagram data or the second state diagram data, identifying the state diagram data to obtain the process content of the slaughter equipment operation logs to be traced under the at least two production line density detection indexes, wherein the process content comprises the following steps of: and identifying the state diagram data to obtain the process content of the slaughter equipment operation log, wherein the process content is used as the process content of the slaughter equipment operation log to be traced under the corresponding production line density detection index. By the design, the state diagram data can be accurately and completely constructed, and the reliability of the process content is ensured.
And step S20, according to the process content of the slaughter equipment operation logs to be traced under the density detection indexes of the at least two production lines, performing equipment process data tracing on the slaughter equipment operation logs to be traced.
For example, the device process data is traced back to the operation log of the slaughtering device to be traced back, and data tracing can be performed on each slaughtering link such as entering, cutting and acid discharge, for example, which meat is traced back from which cattle, so that the efficiency and the reliability of device process data tracing are improved. Based on this, according to the process content of the slaughter equipment operation logs to be traced under the at least two production line density detection indexes, the process data tracing of the slaughter equipment operation logs to be traced comprises the following steps: obtaining production line density correlation data of the slaughter equipment operation logs among the slaughter equipment operation logs to be traced according to the process contents of the slaughter equipment operation logs to be traced under the at least two production line density detection indexes; determining slaughter data transmission identifiers of the slaughter equipment operation logs to be traced according to production line density correlation data of the slaughter equipment operation logs among the slaughter equipment operation logs to be traced; and equipment process data tracing is carried out on each slaughter equipment operation log to be traced through the slaughter data transmission identification. Therefore, the slaughter equipment operation logs to be traced can be traced according to the slaughter data transmission identifiers, so that the transitivity among different slaughter data is taken into consideration, and the time sequence continuity of the equipment flow data tracing is ensured.
In some possible embodiments, the obtaining, according to the process content of the slaughter equipment operation logs to be traced under the at least two production line density detection indexes, the production line density correlation data of the slaughter equipment operation logs between the slaughter equipment operation logs to be traced includes: calculating correlation coefficients of every two slaughter equipment operation logs to be traced under at least two production line density detection indexes according to the process contents of the slaughter equipment operation logs to be traced under the at least two production line density detection indexes; and obtaining the production line density correlation data of the slaughter equipment operation logs between the slaughter equipment operation logs to be traced according to the correlation coefficients of the two slaughter equipment operation logs to be traced under at least two production line density detection indexes. Thus, the integrity of the production line density related data can be ensured.
On the basis of the above content, determining the slaughter data transmission identifier of each slaughter equipment operation log to be traced according to the production line density associated data of the slaughter equipment operation logs between the slaughter equipment operation logs to be traced comprises: and respectively according to the production line density associated data of the slaughter equipment running logs to be traced between the slaughter equipment running logs to be traced, the production line density associated data of the slaughter equipment running logs to be traced between the slaughter equipment running logs to be traced is larger than a first preset production line density and smaller than a second preset production line density, and the production line density associated data of the slaughter equipment running logs to be traced are used as slaughter data transmission identifiers of the slaughter equipment running logs to be traced. In this way, a high degree of matching of the slaughter data transfer identifier with the individual slaughter installation operating logs to be traced back can be ensured.
On the basis, please refer to fig. 2 in combination, an internal meat slaughtering process tracing device 200 based on industrial internet identification is provided, and is applied to an industrial internet cloud server, and the device includes:
the process content determining module 210 is configured to determine, through the device state data of the slaughter device operation log to be traced under at least two production line density detection indexes, the process content of the slaughter device operation log to be traced under the at least two production line density detection indexes;
and the flow data tracing module 220 is used for tracing the equipment flow data of the slaughter equipment operation logs to be traced according to the flow contents of the slaughter equipment operation logs to be traced under the at least two production line density detection indexes.
For the description of the functional modules, reference may be made to the description of the method shown in fig. 1, which is not described herein again.
On the basis, the industrial internet cloud server comprises a processor and a memory which are communicated with each other, wherein the processor is used for calling the computer program from the memory and realizing the method by running the computer program.
On the basis of the above, a computer-readable storage medium is provided, on which a computer program is stored, which computer program realizes the above-described method when executed.
In summary, based on the above scheme, the process content of the slaughter equipment operation log to be traced under the at least two production line density detection indexes can be determined based on the equipment state data of the slaughter equipment operation log to be traced under the at least two production line density detection indexes, and then the equipment process data tracing is performed on the slaughter equipment operation log to be traced according to the process content of the slaughter equipment operation log to be traced under the at least two production line density detection indexes. The process content of the slaughter equipment operation logs under different production line density detection indexes is considered when the slaughter equipment operation logs are traced, so that the equipment process data tracing can be ensured to be matched with the actual equipment state and production line state as far as possible, and the data generated in each link of the slaughter production line can be accurately and effectively traced.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (5)
1. An internal meat slaughtering process tracing method based on industrial internet identification is applied to an industrial internet cloud server, and comprises the following steps:
determining the process content of the slaughter equipment operation log to be traced under at least two production line density detection indexes according to the equipment state data of the slaughter equipment operation log to be traced under at least two production line density detection indexes;
according to the process content of the slaughter equipment operation logs to be traced under the density detection indexes of the at least two production lines, equipment process data tracing is carried out on the slaughter equipment operation logs to be traced;
the process content of the slaughter equipment running logs to be traced under the at least two production line density detection indexes is determined according to the equipment state data of the slaughter equipment running logs to be traced under the at least two production line density detection indexes, and the process content comprises the following steps of: acquiring equipment state data of an operation log of slaughter equipment to be traced under at least two production line density detection indexes; determining the process content of the slaughter equipment operation log to be traced under the at least two production line density detection indexes according to the equipment state data of the slaughter equipment operation log to be traced under the at least two production line density detection indexes;
according to the process content of the slaughter equipment operation logs to be traced under the at least two production line density detection indexes, the process data tracing of the slaughter equipment operation logs to be traced comprises the following steps: obtaining production line density correlation data of the slaughter equipment operation logs among the slaughter equipment operation logs to be traced according to the process contents of the slaughter equipment operation logs to be traced under the at least two production line density detection indexes; determining slaughter data transmission identifiers of the slaughter equipment operation logs to be traced according to production line density correlation data of the slaughter equipment operation logs among the slaughter equipment operation logs to be traced; equipment process data tracing is carried out on each slaughter equipment operation log to be traced through the slaughter data transmission identification;
the production line density detection index is used for distinguishing different slaughter production lines, and the process content is used for recording the operation logs of slaughter equipment in a time sequence level;
the method comprises the following steps of obtaining equipment state data of slaughter equipment operation logs to be traced under at least two production line density detection indexes: collecting slaughter equipment running logs to be traced in a preset time period and equipment state data of the slaughter equipment running logs to be traced called by associated slaughter equipment; acquiring device state data of the slaughter equipment operation logs to be traced in the preset time period under at least two production line density detection indexes according to the slaughter equipment operation logs to be traced in the preset time period and device state data of the slaughter equipment operation logs to be traced called by associated slaughter equipment;
the production line density detection indexes comprise a first production line density detection index, a second production line density detection index and a third production line density detection index; according to the slaughter equipment running log to be traced back in the preset time period and the associated slaughter equipment, calling the equipment state data of the slaughter equipment running log to be traced back to obtain the equipment state data of the slaughter equipment running log to be traced back in the preset time period under at least two production line density detection indexes, the method comprises the following steps: calling equipment state data of the slaughter equipment operation log to be traced according to the associated slaughter equipment, and determining a matching result between the associated slaughter equipment and the slaughter equipment operation log to be traced in a preset time period as equipment state data of the slaughter equipment operation log to be traced under the first production line density detection index; extracting a log event label from the slaughter equipment operation log to be traced; acquiring log data of the log event label in the slaughter equipment running log to be traced in the preset time period, and identifying the log data as equipment state data of the slaughter equipment running log to be traced under the second production line density detection index; according to the matching result between the associated slaughtering equipment and the slaughtering equipment running log to be traced and the log data of the log event label in the slaughtering equipment running log to be traced in the preset time period, confirming the matching result of the log data of the associated slaughtering equipment and the log event label in the slaughtering equipment running log to be traced as the equipment state data of the slaughtering equipment running log to be traced under the third production line density detection index;
the process content of the slaughter equipment operation logs to be traced under the at least two production line density detection indexes is determined according to the equipment state data of the slaughter equipment operation logs to be traced under the at least two production line density detection indexes, and the process content comprises the following steps: according to the equipment state data of the slaughter equipment operation log to be traced under at least two production line density detection indexes, establishing state diagram data of the slaughter equipment operation log to be traced under the at least two production line density detection indexes; identifying the state diagram data to obtain the process content of the slaughter equipment operation logs to be traced under the density detection indexes of the at least two production lines;
according to the equipment state data of the slaughter equipment operation logs to be traced under at least two production line density detection indexes, state diagram data of the slaughter equipment operation logs to be traced under the at least two production line density detection indexes are constructed, and the method comprises the following steps: respectively constructing first state diagram data, second state diagram data and third state diagram data according to the equipment state data of the slaughter equipment operation log to be traced under at least two production line density detection indexes; the first state diagram data are used for representing the matching result between the flow content of the associated slaughtering equipment and the flow content of the slaughtering equipment running log, the second state diagram data are used for representing the matching result between the flow content of the slaughtering equipment running log and the log event tag attribute, and the third state diagram data are used for representing the matching result between the flow content of the associated slaughtering equipment and the log event tag attribute; respectively identifying the first state diagram data, the second state diagram data and the third state diagram data as state diagram data of the slaughter equipment operation log to be traced under the density detection indexes of the at least two production lines; if the state diagram data is the first state diagram data or the second state diagram data, identifying the state diagram data to obtain the process content of the slaughter equipment operation logs to be traced under the at least two production line density detection indexes, wherein the process content comprises the following steps of: and identifying the state diagram data to obtain the process content of the slaughter equipment operation log, wherein the process content is used as the process content of the slaughter equipment operation log to be traced under the corresponding production line density detection index.
2. The method according to claim 1, wherein if the state diagram data is the third state diagram data, the identifying the state diagram data to obtain the process content of the slaughter equipment operation log to be traced under the at least two production line density detection indexes comprises:
identifying the state diagram data to obtain the log event label attribute in the operating log of the slaughtering equipment to be traced;
acquiring log data of the log event label in the slaughter equipment operation log to be traced as log data corresponding to the log event label attribute;
and obtaining the process content of the slaughter equipment operation log according to the log event label attribute and the corresponding log data, and taking the process content as the process content of the slaughter equipment operation log to be traced under the corresponding production line density detection index.
3. The method according to claim 1, wherein the obtaining production line density correlation data of the slaughter equipment operation logs among the slaughter equipment operation logs to be traced according to the process content of the slaughter equipment operation logs to be traced under the at least two production line density detection indexes comprises:
calculating correlation coefficients of every two slaughter equipment operation logs to be traced under at least two production line density detection indexes according to the process contents of the slaughter equipment operation logs to be traced under the at least two production line density detection indexes;
and obtaining the production line density correlation data of the slaughter equipment operation logs between the slaughter equipment operation logs to be traced according to the correlation coefficients of the two slaughter equipment operation logs to be traced under at least two production line density detection indexes.
4. The method according to claim 1, wherein the determining of the slaughter data transfer identity of each slaughter equipment running log to be traced according to the production line density correlation data of the slaughter equipment running logs among the slaughter equipment running logs to be traced comprises:
and respectively according to the production line density associated data of the slaughter equipment running logs to be traced between the slaughter equipment running logs to be traced, the production line density associated data of the slaughter equipment running logs to be traced between the slaughter equipment running logs to be traced is larger than a first preset production line density and smaller than a second preset production line density, and the production line density associated data of the slaughter equipment running logs to be traced are used as slaughter data transmission identifiers of the slaughter equipment running logs to be traced.
5. The utility model provides an inside device of traceing back of flow is slaughtered to meat based on industry internet sign which characterized in that is applied to industry internet cloud server, the device includes:
the process content determining module is used for determining the process content of the slaughter equipment operation log to be traced under at least two production line density detection indexes according to the equipment state data of the slaughter equipment operation log to be traced under the at least two production line density detection indexes;
the process data tracing module is used for tracing the equipment process data of the slaughter equipment operation log to be traced according to the process content of the slaughter equipment operation log under the density detection indexes of the at least two production lines;
the process content of the slaughter equipment running logs to be traced under the at least two production line density detection indexes is determined according to the equipment state data of the slaughter equipment running logs to be traced under the at least two production line density detection indexes, and the process content comprises the following steps of: acquiring equipment state data of an operation log of slaughter equipment to be traced under at least two production line density detection indexes; determining the process content of the slaughter equipment operation log to be traced under the at least two production line density detection indexes according to the equipment state data of the slaughter equipment operation log to be traced under the at least two production line density detection indexes;
according to the process content of the slaughter equipment operation logs to be traced under the at least two production line density detection indexes, the process data tracing of the slaughter equipment operation logs to be traced comprises the following steps: obtaining production line density correlation data of the slaughter equipment operation logs among the slaughter equipment operation logs to be traced according to the process contents of the slaughter equipment operation logs to be traced under the at least two production line density detection indexes; determining slaughter data transmission identifiers of the slaughter equipment operation logs to be traced according to production line density correlation data of the slaughter equipment operation logs among the slaughter equipment operation logs to be traced; equipment process data tracing is carried out on each slaughter equipment operation log to be traced through the slaughter data transmission identification;
the production line density detection index is used for distinguishing different slaughter production lines, and the process content is used for recording the operation logs of slaughter equipment in a time sequence level;
the method comprises the following steps of obtaining equipment state data of slaughter equipment operation logs to be traced under at least two production line density detection indexes: collecting slaughter equipment running logs to be traced in a preset time period and equipment state data of the slaughter equipment running logs to be traced called by associated slaughter equipment; acquiring device state data of the slaughter equipment operation logs to be traced in the preset time period under at least two production line density detection indexes according to the slaughter equipment operation logs to be traced in the preset time period and device state data of the slaughter equipment operation logs to be traced called by associated slaughter equipment;
the production line density detection indexes comprise a first production line density detection index, a second production line density detection index and a third production line density detection index; according to the slaughter equipment running log to be traced back in the preset time period and the associated slaughter equipment, calling the equipment state data of the slaughter equipment running log to be traced back to obtain the equipment state data of the slaughter equipment running log to be traced back in the preset time period under at least two production line density detection indexes, the method comprises the following steps: calling equipment state data of the slaughter equipment operation log to be traced according to the associated slaughter equipment, and determining a matching result between the associated slaughter equipment and the slaughter equipment operation log to be traced in a preset time period as equipment state data of the slaughter equipment operation log to be traced under the first production line density detection index; extracting a log event label from the slaughter equipment operation log to be traced; acquiring log data of the log event label in the slaughter equipment running log to be traced in the preset time period, and identifying the log data as equipment state data of the slaughter equipment running log to be traced under the second production line density detection index; according to the matching result between the associated slaughtering equipment and the slaughtering equipment running log to be traced and the log data of the log event label in the slaughtering equipment running log to be traced in the preset time period, confirming the matching result of the log data of the associated slaughtering equipment and the log event label in the slaughtering equipment running log to be traced as the equipment state data of the slaughtering equipment running log to be traced under the third production line density detection index;
the process content of the slaughter equipment operation logs to be traced under the at least two production line density detection indexes is determined according to the equipment state data of the slaughter equipment operation logs to be traced under the at least two production line density detection indexes, and the process content comprises the following steps: according to the equipment state data of the slaughter equipment operation log to be traced under at least two production line density detection indexes, establishing state diagram data of the slaughter equipment operation log to be traced under the at least two production line density detection indexes; identifying the state diagram data to obtain the process content of the slaughter equipment operation logs to be traced under the density detection indexes of the at least two production lines;
according to the equipment state data of the slaughter equipment operation logs to be traced under at least two production line density detection indexes, state diagram data of the slaughter equipment operation logs to be traced under the at least two production line density detection indexes are constructed, and the method comprises the following steps: respectively constructing first state diagram data, second state diagram data and third state diagram data according to the equipment state data of the slaughter equipment operation log to be traced under at least two production line density detection indexes; the first state diagram data are used for representing the matching result between the flow content of the associated slaughtering equipment and the flow content of the slaughtering equipment running log, the second state diagram data are used for representing the matching result between the flow content of the slaughtering equipment running log and the log event tag attribute, and the third state diagram data are used for representing the matching result between the flow content of the associated slaughtering equipment and the log event tag attribute; respectively identifying the first state diagram data, the second state diagram data and the third state diagram data as state diagram data of the slaughter equipment operation log to be traced under the density detection indexes of the at least two production lines; if the state diagram data is the first state diagram data or the second state diagram data, identifying the state diagram data to obtain the process content of the slaughter equipment operation logs to be traced under the at least two production line density detection indexes, wherein the process content comprises the following steps of: and identifying the state diagram data to obtain the process content of the slaughter equipment operation log, wherein the process content is used as the process content of the slaughter equipment operation log to be traced under the corresponding production line density detection index.
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