CN115829238A - Abnormity prompting method, device and system and industrial Internet of things platform - Google Patents
Abnormity prompting method, device and system and industrial Internet of things platform Download PDFInfo
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Abstract
The invention provides an abnormity prompting method, device and system and an industrial Internet of things platform, and relates to the technical field of industrial control, wherein the method comprises the following steps of executing first verification before tobacco shred production and in the tobacco shred production process, and the first verification comprises the following steps: judging whether the actual value of each production parameter in a plurality of production parameters is matched with the corresponding check value or not aiming at each process in a plurality of processes of a tobacco shred production field, wherein the plurality of processes comprise a loosening and moisture regaining process and a screening and feeding process; if the production parameters with unmatched actual values and verification values exist, corresponding prompt information is output to prompt production abnormity.
Description
Technical Field
The disclosure relates to the technical field of industrial control, in particular to an abnormity prompting method, device and system and an industrial Internet of things platform.
Background
The tobacco shred manufacturing is an important link in the cigarette processing process, and the quality of the processing level directly influences the stability of the internal quality of the cigarette. The quality control level of the cut-making process is often used as a measure of the level of the cigarette manufacturing process.
In the related art, in the tobacco shred production process (i.e., in the tobacco shred manufacturing process), an operator performs real-time monitoring and abnormality judgment on the process of production abnormality which has occurred in the tobacco shred production field in the past period of time according to past experience so as to realize quality control of the tobacco shred manufacturing process.
Disclosure of Invention
The inventors have noticed that the quality of the cut tobacco finally produced is low in the manner of the related art.
Through analysis, the inventor finds that the quality of the processing quality of a loosening and moisture regaining process and a screening and feeding process which are key processes in a tobacco shred manufacturing process has great influence on the quality of the finally manufactured tobacco shreds. If the production abnormality does not occur in the processes within a period of time, the operators do not monitor and judge the abnormality, and in this way, key processes in the tobacco making process are not monitored, so that the operators cannot find and process the key processes in time under the condition that the key processes have the production abnormality, and the quality of the finally made tobacco shreds is low.
In order to solve the above problem, the embodiments of the present disclosure propose the following solutions.
According to an aspect of the embodiments of the present disclosure, there is provided an abnormality indication method, including performing a first check before and during tobacco shred production, where the first check includes: judging whether the actual value of each production parameter in a plurality of production parameters is matched with the corresponding check value or not aiming at each process in a plurality of processes of a tobacco shred production field, wherein the plurality of processes comprise a moisture regaining process and a feeding process; if the production parameters with the actual values not matched with the check values exist, corresponding prompt information is output to prompt that production is abnormal.
In some embodiments, said first verification prior to the production of cut tobacco is performed automatically in response to a user operation.
In some embodiments, said first check in the cut tobacco production process is performed automatically at preset time intervals, in case the weight of the transported pieces of tobacco is greater than a first preset weight for a first preset time period and the duration reaches a first time threshold.
In some embodiments, the method further comprises performing a second check after the cut tobacco production, the second check comprising: judging whether the actual value of the weight of the manufactured tobacco shreds is matched with the corresponding check value; and if the actual value of the weight of the manufactured tobacco shreds is not matched with the corresponding check value, outputting corresponding prompt information to prompt production abnormity.
In some embodiments, said second check after production of the shredded tobacco is performed automatically in the event that the weight of the conveyed shredded tobacco is less than a second preset weight for a second preset time period and the duration reaches a second time threshold.
In some embodiments, the plurality of production parameters include batch parameters, process parameters, equipment parameters and energy power parameters, wherein the batch parameters include production batch numbers and brands, the process parameters include parameters affecting tobacco shred quality in a tobacco shred manufacturing process, the equipment parameters include state parameters and control parameters of production equipment in a tobacco shred production site, and the energy power parameters include parameters of energy power provided by production equipment in the tobacco shred production site.
In some embodiments, the actual values of the batch parameters, the process parameters, and the energy dynamic parameters are obtained from a manufacturing execution system MES of the cut tobacco production site via Kepware software, and the actual values of the equipment parameters are obtained from a programmable logic control PLC system and an IFIX system of the cut tobacco production site via the Kepware software.
According to another aspect of the embodiments of the present disclosure, there is provided an abnormality presentation device including: an execution module configured to perform a first verification before and during tobacco production, the first verification comprising: judging whether the actual value of each production parameter in a plurality of production parameters is matched with the corresponding check value or not aiming at each process in a plurality of processes of a tobacco shred production field, wherein the plurality of processes comprise a moisture regaining process and a charging process; and if the production parameters with the actual values not matched with the check values exist, outputting corresponding prompt information to prompt that the production is abnormal.
According to still another aspect of the embodiments of the present disclosure, there is provided an abnormality presentation device including: a memory; and a processor coupled to the memory, the processor configured to perform the method of any of the above embodiments based on instructions stored in the memory.
According to still another aspect of the embodiments of the present disclosure, there is provided an industrial internet of things platform, including: the abnormality presentation device according to any one of the above embodiments.
In some embodiments, the platform is a thinngworx platform.
According to still another aspect of the embodiments of the present disclosure, there is provided an abnormality indication system, including: the platform of claim 10 or 11; and an MES system, a PLC system, and an IFIX system, all in communication with the platform via Kepware software.
According to a further aspect of the embodiments of the present disclosure, there is provided a computer-readable storage medium comprising computer program instructions, wherein the computer program instructions, when executed by a processor, implement the method of any one of the above embodiments.
According to a further aspect of the embodiments of the present disclosure, there is provided a computer program product comprising a computer program, wherein the computer program, when executed by a processor, implements the method of any one of the above embodiments.
In the embodiment of the disclosure, before and during the tobacco shred production, first verification is performed to judge whether the loosening and dampening process and the screening and charging process on the tobacco shred production field are abnormal in production, and corresponding prompt information is output under the condition that the abnormal production is judged. Therefore, whether production abnormity exists or not can be judged before tobacco shred production, the judgment and prompt of the production abnormity can be carried out in the tobacco shred production process, the coverage range of abnormal investigation is enlarged, and in addition, the loosening and dampening process and the screening and charging process of the tobacco shred production field can be abnormally investigated before and in the tobacco shred production process, the processing quality of the loosening and dampening process and the screening and charging process which are key processes in the tobacco shred production process can be ensured, and the quality of finally manufactured tobacco shreds is improved.
The technical solution of the present disclosure is further described in detail by the accompanying drawings and embodiments.
Drawings
In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic flow diagram of a first check according to some embodiments of the present disclosure;
FIG. 2 is a schematic flow diagram of a second check according to some embodiments of the present disclosure;
FIG. 3 is a schematic diagram of an exception prompting device according to some embodiments of the present disclosure;
fig. 4 is a schematic structural diagram of an abnormality indication device according to other embodiments of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
The relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present disclosure unless specifically stated otherwise.
Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.
Techniques, methods, and apparatus known to one of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
According to an aspect of the embodiments of the present disclosure, there is provided an abnormality indication method including performing a first check before and during tobacco shred production. A specific flow of performing the first check is described below with reference to fig. 1.
Fig. 1 is a schematic flow diagram of performing a first check according to some embodiments of the present disclosure.
In step 102, it is determined, for each of a plurality of processes in a tobacco shred production site, whether an actual value of each of a plurality of production parameters matches a corresponding check value.
Here, the plurality of processes at the cut tobacco production site includes a loosening and conditioning process and a sieving and charging process.
"before the production of the shredded tobacco" refers to the preparation phase before the shredded tobacco starts to be produced. "in the tobacco shred production process" refers to the stage from the beginning of tobacco shred production to the end of tobacco shred production. For example, the conveying mechanism for conveying tobacco flakes does not start conveying tobacco flakes after tobacco bale slicing before tobacco shreds start producing, and the conveying mechanism for conveying tobacco flakes continuously conveys tobacco flakes after tobacco bale slicing in the tobacco shreds producing process.
In some embodiments, the actual value of each of the plurality of production parameters may be obtained from one or more systems at the tobacco production site via Kepware software. For example, the plurality of production parameters may be obtained by OPUCA from one or more of a Manufacturing Execution System (MES), a Programmable Logic Controller (PLC) System, and an IFIX System at the cut tobacco production site via Kepware software.
In some embodiments, the verification value for each of the plurality of production parameters may be a standard value required to meet a process standard for the corresponding process step. For example, the check value for each production parameter may be pre-stored in a database (e.g., ORACLE database) of the MES system and retrieved from the database via Kepware software in performing the first check.
In step 104, if there is a production parameter whose actual value does not match the verification value, outputting a corresponding prompt message to prompt that the production is abnormal.
In some embodiments, the first check may be performed repeatedly prior to tobacco production. For example, before the cut tobacco production, the first check may be repeatedly performed until the cut tobacco production is started after there is no production parameter whose actual value does not match the check value.
In some embodiments, the first check may be performed repeatedly during the cut tobacco production process. For example, in the case where the first verification is performed in the cut tobacco production process and the production parameters of which the actual values are not matched with the verification values are found, cut tobacco production may be suspended, and after the operator eliminates the abnormality, cut tobacco production is resumed and the first verification is continuously performed.
In some embodiments, in the case where there is a production parameter whose actual value does not match the verification value, a warning signal may be output to cause a warning lamp to light, thereby warning of a production abnormality. For example, different prompt signals can be correspondingly output aiming at production abnormity in different processes so that the alarm lamp displays different colors. For example, for production abnormity in the loosening and dampening process and the screening and charging process, a prompt signal can be output to enable the alarm lamp to light a red light; aiming at the production abnormity in the tobacco bale slicing procedure, a prompt signal can be output so that the alarm lamp can light the yellow light. Therefore, the method is beneficial for operators to confirm the specific process of the production abnormity according to different prompting signals and take corresponding measures.
In some embodiments, in the case where there is a production parameter whose actual value does not match the verification value, a corresponding verification result may be output to indicate a production abnormality. For example, the verification result (for example, the verification result may include an actual value of the production parameter, a verification value, and a conclusion whether the two are matched) may be output to a front-end interface of the industrial internet of things platform (for example, output to a mashup interface in the form of a pop-up window) or output to a mobile device of an operator, so that the operator may clearly know a specific production parameter causing the production anomaly according to the verification result, thereby quickly locating the anomaly point and taking a corresponding countermeasure.
In some embodiments, when a failure occurs in data transmission or communication interruption causes that an actual value or a check value of a part of production parameters cannot be obtained from a production site, a state waiting for checking may be displayed in a check result corresponding to the part of production parameters, and when the failure disappears or communication is restored, checking is continued for the part of production parameters and a corresponding check result is updated.
In the embodiment, before and during the production of the cut tobacco, the first check is performed to judge whether the loosening and dampening process and the screening and feeding process on the cut tobacco production site have production abnormality or not, and corresponding prompt information is output when the production abnormality is judged. Therefore, whether production abnormity exists or not can be judged before tobacco shred production, the judgment and prompt of the production abnormity can be carried out in the tobacco shred production process, the coverage range of abnormal investigation is enlarged, and in addition, the loosening and dampening process and the screening and charging process of the tobacco shred production field can be abnormally investigated before and in the tobacco shred production process, the processing quality of the loosening and dampening process and the screening and charging process which are key processes in the tobacco shred production process can be ensured, and the quality of finally manufactured tobacco shreds is improved.
In some embodiments, the plurality of processes in the tobacco shred production site can also comprise the processes of unpacking the tobacco box, slicing the tobacco bale, entering a cabinet and storing leaves and the like in the tobacco shred production process. Therefore, before and during the tobacco shred manufacturing process, whether each process required by the tobacco shred manufacturing has production abnormity can be determined more comprehensively, the coverage range of abnormity troubleshooting is further expanded, and the quality of the finally manufactured tobacco shreds is further improved.
In the cigarette processing process, the tobacco carton of the sheet cigarette which is packed into a certain specification is generally used for tobacco shred production, so that in the tobacco shred production process, the 'unpacking of the tobacco carton' refers to the process of dismantling the outer packing paper box of the tobacco shreds; the tobacco bale slicing refers to the process of cutting tobacco flakes with larger volume into tobacco flakes with certain thickness after unpacking; the loosening and moisture regaining is a process of further loosening the sliced tobacco flakes through processes of heating, adding water and the like so as to soften the tobacco flakes; "sift charge" refers to a process of sifting loose, remoistened tobacco flakes (e.g., sifting tobacco flakes of less than 6 mm) and applying a feed solution (e.g., a mixture of flavors and water) to the sifted tobacco flakes to increase the moisture content and temperature of the tobacco flakes as appropriate; the 'bin feeding and leaf storage' refers to a process of storing the screened and fed tobacco flakes for a certain time to balance the water content and temperature of the tobacco flakes and enable the tobacco flakes to fully absorb feed liquid.
In some embodiments, for each process in the tobacco shred production field, the corresponding plurality of production parameters may include a batch parameter, a process parameter, an equipment parameter, and an energy power parameter, wherein the batch parameter may include a production batch number and a brand number; the process parameters can comprise parameters influencing the quality of the cut tobacco in the cut tobacco making process, such as water adding proportion, hot air temperature and other parameters; the equipment parameters can comprise state parameters and control parameters of production equipment in a tobacco shred production field, such as motor working frequency, PID control parameters and the like; the energy power parameters may include parameters of energy power provided by production equipment at the tobacco shred production site, such as steam pressure and compressed air pressure applied by a nozzle. Therefore, the first check can be carried out by combining the production requirements in various aspects such as batch, process, equipment, energy power and the like so as to more comprehensively determine whether production abnormity exists, and further expand the coverage range of abnormity inspection, thereby further improving the quality of the finally prepared cut tobacco.
In some embodiments, actual values of the batch parameters, process parameters, and energy dynamic parameters of the plurality of production parameters may be obtained from an MES system of the tobacco production site via Kepware software, and actual values of the equipment parameters may be obtained from a PLC system and an IFIX system of the tobacco production site via Kepware software.
In some embodiments, the first verification prior to the cut tobacco production may be performed automatically in response to a user operation. For example, the user operates a button for starting the first verification by touching the button. Therefore, the execution of the first verification before the cut tobacco production can be controlled by a user such as an operator, so that the user can flexibly determine whether to continue to execute the first verification according to the result of the first verification, and further ensure that the cut tobacco production is started under the condition of no abnormal production, and the quality of the finally manufactured cut tobacco is further improved.
In some embodiments, in the case that the weight of the conveyed tobacco flakes is greater than the first preset weight within the first preset time period and the duration reaches the first time threshold, the first verification in the tobacco shred production process may be automatically performed at preset time intervals.
For example, the first preset time period may be 1h, the preset weight may be 100kg, and the first time threshold may be 30s, i.e. in case the flow rate of conveying the tobacco flakes is greater than 100kg/h and lasts for 30s, it may be confirmed that the cut tobacco production has started, and the first check is automatically performed at preset time intervals (e.g. preset period, 1 h). For example, the weight of the transported smoked sheet may be obtained by an electronic scale of the transport mechanism of the transported smoked sheet.
Therefore, the method can judge that the tobacco shred production is started more accurately, and automatically and repeatedly execute the first check under the condition of judging that the tobacco shred production is started (namely in the tobacco shred production process), so that each procedure in the tobacco shred production process can be subjected to abnormal check and abnormal treatment in time, and the quality of the finally manufactured tobacco shreds is further improved.
In some embodiments, the anomaly prompting method provided by the present disclosure may further include performing a second check after the cut tobacco is produced. A specific flow of performing the second check is described below with reference to fig. 2.
Figure 2 is a flow diagram illustrating performing a second check-up, according to some embodiments of the present disclosure.
In step 202, it is determined whether the actual value of the weight of the manufactured cut tobacco matches the corresponding check value.
In some embodiments, the actual value of the weight of the cut tobacco produced may be collected by the MES system at the cut tobacco production site via an electronic scale of the conveyor mechanism transporting the cut tobacco. Actual values of the weight of the manufactured cut tobacco can be obtained from the MES system at the cut tobacco production site via Kepware software, and corresponding check values are obtained from a database of the MES system. For example, the check value of the weight of the cut tobacco may be a fixed value set according to a process standard, or may be a value dynamically adjusted according to the historical weight of the cut tobacco of the same batch in a certain past time period.
In step 204, if the actual value of the weight of the manufactured tobacco shreds is not matched with the corresponding check value, corresponding prompt information is output to prompt that the production is abnormal.
For example, the average weight of a batch of shredded tobacco over the past three months may be between 3000-3100kg, which may be used as a check value for the weight of the batch of shredded tobacco and stored in the MES system database. After the current tobacco shred production process of the batch is finished, the actual value of the weight of the currently manufactured tobacco shreds is obtained through Kepware software, the actual value can be compared with a corresponding verification value of 3000-3100kg, and if the actual value exceeds the range of 3000-3100kg, abnormal production can be judged and corresponding prompt information can be output.
Other implementation manners of step 204 are similar to that of step 104 described above, and for a specific description, reference may be made to related embodiments of step 104 described above, and details are not described herein again.
In the above embodiment, after the cut tobacco production, a second check may be performed to confirm whether the actual value of the weight of the manufactured cut tobacco matches the corresponding check value, and if not, a corresponding prompt message may be output to prompt a production abnormality. Therefore, quality verification can be carried out after tobacco shred production, whether a production abnormal process exists or not can be further judged according to the weight of the produced tobacco shreds, the coverage range of abnormal investigation is further expanded, and the quality of the finally produced tobacco shreds is further improved.
In some embodiments, the second check performed after tobacco production may further comprise checking parameters for which data is not known until after some tobacco production has ended. For example, the second check-up may also include one or more of the following determinations: judging whether the actual value of the average moisture of the manufactured cut tobacco is matched with the corresponding check value, judging whether the actual value of the total water adding amount in the whole cut tobacco production process is matched with the corresponding check value, and judging whether the actual value of the total material adding (such as essence) amount in the whole cut tobacco production process is matched with the corresponding check value; and outputting corresponding prompt information to prompt production abnormity under the condition that a certain judged judgment result is unmatched. Therefore, whether the manufactured cut tobacco meets the process requirements or not can be determined more comprehensively by checking related parameters after the cut tobacco is generated, and whether a production abnormal process exists or not can be further more comprehensively judged, so that the quality of the finally manufactured cut tobacco is further improved.
In some embodiments, the second verification after cut tobacco production is performed automatically in the event that the weight of the conveyed tobacco pieces is less than a second preset weight for a second preset time period and the duration reaches a second time threshold. For example, the second preset time period may be 1h, the preset weight may be 100kg, and the second time threshold may be 30s, i.e. in case the flow rate of conveying the tobacco flakes is less than 100kg/h and lasts for 30s, it may be confirmed that the tobacco production has ended, and the second check is automatically performed. For example, the weight of the transported flakes can be obtained by an electronic scale of the transport mechanism that transports the flakes. Therefore, the method can more accurately judge that the tobacco shred production is finished, and automatically execute the second check under the condition of judging that the tobacco shred production is finished so as to further confirm whether a process of production abnormity exists, thereby further improving the quality of the finally manufactured tobacco shreds.
In the present specification, the embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts in the embodiments are referred to each other. For the device embodiment, since it basically corresponds to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
Fig. 3 is a schematic structural diagram of an abnormality prompting device according to some embodiments of the present disclosure.
As shown in fig. 3, the abnormality presentation apparatus 300 includes an execution module 301.
The performing module 301 may be configured to perform a first check before and during the cut tobacco production, wherein the first check comprises: judging whether the actual value of each production parameter in the production parameters is matched with the corresponding check value or not aiming at each process in a plurality of processes of the tobacco shred production field, wherein the plurality of processes comprise a moisture regaining process and a feeding process; and if the production parameters with the actual values not matched with the check values exist, outputting corresponding prompt information to prompt that the production is abnormal.
Fig. 4 is a schematic structural diagram of an abnormality indication device according to other embodiments of the present disclosure.
As shown in fig. 4, the exception prompting device 400 includes a memory 401 and a processor 402 coupled to the memory 401, wherein the processor 402 is configured to execute the method of any of the foregoing embodiments based on instructions stored in the memory 401.
The memory 401 may include, for example, a system memory, a fixed non-volatile storage medium, and the like. The system memory may store, for example, an operating system, application programs, a Boot Loader (Boot Loader), and other programs.
The abnormality prompting apparatus 400 may further include an input/output interface 403, a network interface 404, a storage interface 405, and the like. The interfaces 403, 404, 405 and the memory 401 and the processor 402 may be connected by a bus 406, for example. The input/output interface 403 provides a connection interface for input/output devices such as a display, a mouse, a keyboard, and a touch screen. The network interface 404 provides a connection interface for various networking devices. The storage interface 405 provides a connection interface for external storage devices such as an SD card and a usb disk.
The embodiment of the disclosure also provides an industrial internet of things platform, which comprises the abnormality prompting device (for example, the abnormality prompting device 300/400) of any one of the above embodiments.
In some embodiments, the industrial internet of things platform may be a digital twin platform, such as a thinngworx platform.
The embodiment of the disclosure further provides an exception prompting system, which comprises the industrial internet of things platform, the MES system, the PLC system and the IFIX system of any one of the embodiments, wherein the MES system, the PLC system and the IFIX system are all communicated with the industrial internet of things platform through Kepware software.
For example, in the case that the Industrial internet of things platform is a thingwox platform, a Gateway Server may be newly created in Controls Advisor, and an Industrial thining of the same name may be created, and template = ptc. Then, an Industrial Connection is created, a file name suffix-GW is added, and template = Industrial gateway is set. After the creation is completed, corresponding parameter setting and address matching are carried out, and therefore data intercommunication between the thinwork platform and the MES system, the PLC system and the IFIX system of the tobacco shred production field can be achieved. And then, the thinworx platform can obtain actual values and check values of a plurality of production parameters corresponding to each process from an MES system, a PLC system and an IFIX system of a tobacco shred production field in an OPCUA mode by taking Kepware as an intermediate channel and Siemens TCP/IP Ethemet as a channel type.
The disclosed embodiments also provide a computer-readable storage medium comprising computer program instructions, which when executed by a processor, implement the method of any of the above embodiments.
Embodiments of the present disclosure also provide a computer program product comprising a computer program, wherein the computer program, when executed by a processor, implements the method of any of the above embodiments.
Thus far, various embodiments of the present disclosure have been described in detail. Some details that are well known in the art have not been described in order to avoid obscuring the concepts of the present disclosure. It will be fully apparent to those skilled in the art from the foregoing description how to practice the presently disclosed embodiments.
As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, system, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable non-transitory storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the disclosure. It will be understood that the functions specified in one or more of the flows in the flowcharts and/or one or more of the blocks in the block diagrams can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Although some specific embodiments of the present disclosure have been described in detail by way of example, it should be understood by those skilled in the art that the foregoing examples are for purposes of illustration only and are not intended to limit the scope of the present disclosure. It will be understood by those skilled in the art that various changes may be made in the above embodiments or equivalents may be substituted for elements thereof without departing from the scope and spirit of the present disclosure. The scope of the present disclosure is defined by the appended claims.
Claims (14)
1. An abnormality prompting method comprises the following steps of executing first verification before tobacco shred production and during tobacco shred production, wherein the first verification comprises the following steps:
judging whether the actual value of each production parameter in a plurality of production parameters is matched with the corresponding check value or not aiming at each process in a plurality of processes of a tobacco shred production field, wherein the plurality of processes comprise a loosening and moisture regaining process and a screening and feeding process;
if the production parameters with unmatched actual values and verification values exist, corresponding prompt information is output to prompt production abnormity.
2. A method according to claim 1, wherein the first verification prior to cut tobacco production is performed automatically in response to a user operation.
3. Method according to claim 1, wherein said first check in the cut tobacco production process is performed automatically according to preset time intervals in the case where the weight of the conveyed pieces of tobacco is greater than a first preset weight for a first preset period of time and the duration reaches a first time threshold.
4. The method according to claim 1, further comprising performing a second check-up after the cut tobacco production, the second check-up comprising:
judging whether the actual value of the weight of the manufactured tobacco shreds is matched with the corresponding check value;
and if the actual value of the weight of the manufactured tobacco shreds is not matched with the corresponding check value, outputting corresponding prompt information to prompt that the production is abnormal.
5. The method according to claim 4, wherein the second check-up after cut tobacco production is performed automatically in case the weight of the transported pieces of tobacco is less than a second preset weight for a second preset time period and the duration reaches a second time threshold.
6. The method according to any one of claims 1 to 5, wherein the plurality of production parameters comprise batch parameters, process parameters, equipment parameters and energy power parameters, wherein the batch parameters comprise production batch numbers and brands, the process parameters comprise parameters influencing the quality of cut tobacco in a tobacco making process, the equipment parameters comprise state parameters and control parameters of production equipment at the cut tobacco production site, and the energy power parameters comprise parameters of energy power provided by the production equipment at the cut tobacco production site.
7. A method according to claim 6, wherein the actual values of the batch parameters, the process parameters and the energy-dynamic parameters are obtained from a Manufacturing Execution System (MES) at the shredded tobacco production site via Kepware software, and the actual values of the equipment parameters are obtained from a Programmable Logic Control (PLC) system and an IFIX system at the shredded tobacco production site via the Kepware software.
8. An abnormality presenting device comprising:
an execution module configured to perform a first verification before and during tobacco production, the first verification comprising:
judging whether the actual value of each production parameter in a plurality of production parameters is matched with the corresponding check value or not aiming at each process in a plurality of processes of a tobacco shred production field, wherein the plurality of processes comprise a moisture regaining process and a charging process; and
if the production parameters with unmatched actual values and verification values exist, corresponding prompt information is output to prompt production abnormity.
9. An abnormality presenting device comprising:
a memory; and
a processor coupled to the memory and configured to perform the method of any of claims 1-7 based on instructions stored in the memory.
10. An industrial internet of things platform comprising:
the abnormality presentation device according to claim 8 or 9.
11. The platform of claim 10, wherein the platform is a thinngworx platform.
12. An abnormality cue system comprising:
the platform of claim 10 or 11; and
an MES system, a PLC system, and an IFIX system, all in communication with the platform via Kepware software.
13. A computer readable storage medium comprising computer program instructions, wherein the computer program instructions, when executed by a processor, implement the method of any of claims 1-7.
14. A computer program product comprising a computer program, wherein the computer program when executed by a processor implements the method of any one of claims 1-7.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117348572A (en) * | 2023-11-17 | 2024-01-05 | 成都安美勤信息技术股份有限公司 | Exception protection method and system based on industrial Internet of things |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117348572A (en) * | 2023-11-17 | 2024-01-05 | 成都安美勤信息技术股份有限公司 | Exception protection method and system based on industrial Internet of things |
| CN117348572B (en) * | 2023-11-17 | 2024-04-05 | 成都安美勤信息技术股份有限公司 | Exception protection method and system based on industrial Internet of things |
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