CN211604278U - Unusual intelligent broadcasting device of key process of system silk thread - Google Patents
Unusual intelligent broadcasting device of key process of system silk thread Download PDFInfo
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- CN211604278U CN211604278U CN201921978884.2U CN201921978884U CN211604278U CN 211604278 U CN211604278 U CN 211604278U CN 201921978884 U CN201921978884 U CN 201921978884U CN 211604278 U CN211604278 U CN 211604278U
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Abstract
The utility model relates to an intelligent broadcasting device for key process abnormity of a silk making thread, which comprises an information acquisition module, a PLC (programmable logic controller), a workstation, a first sound control module and a loudspeaker; the information acquisition modules are respectively arranged on corresponding equipment of the set procedures and are in communication connection with input modules of PLC controllers arranged in the procedures; an output module of the PLC is in communication connection with an input module of the workstation; the first sound control module is arranged in the workstation, and corresponding analysis software is installed in the workstation; workstation and first sound control module electricity signal connection, the output and the speaker electricity signal connection of first sound control module. The control capability and the level of each process of the silk making are effectively stabilized, the potential equipment hazard prevention and control capability is improved, the product quality fluctuation in batch production is effectively reduced, and the lean management level is improved.
Description
Technical Field
The utility model belongs to the technical field of cigarette processing detects, indicate a unusual intelligent broadcast device of system silk thread key process very much.
Background
With the continuous improvement of cigarette technology in tobacco industry, higher requirements are put forward on the improvement of product quality, and the processing quality of tobacco shred manufacturing lines is determined by each key procedure in the production process of tobacco shreds. The equipment control of each key process is complex, the number of control key points is large, how to quickly discover and remove faults of abnormal problems is a key factor for restricting the processing quality of each process, and the requirements on operation and maintenance personnel are relatively high.
The traditional mode has the following disadvantages:
1. the alarm information amount is limited.
The traditional warning system has limited information, basically depends on an operator to strengthen equipment inspection, constantly pays attention to equipment parameter change, only knows that the whole equipment is abnormal, but cannot accurately judge which node of the equipment the abnormal point appears, so that operation and maintenance personnel cannot immediately make judgment and response to the abnormal condition, and the problems are not found timely, comprehensively, hidden dangers are more and the efficiency is low.
2. The preventive effect is poor and the troubleshooting efficiency is low.
The key process equipment is complex to control, the number of control key points is large, some point detection can be carried out only in a starting state, and hidden dangers are not easy to find. The traditional warning system can not accurately locate the fault position, and maintenance personnel need to spend a large amount of time to find and process the problem. This mode is inefficient, poorly discernable, and poorly effective in risk management. In severe cases, equipment is directly stopped, so that the production process is in an unstable state for a long time or is in a stopped state for a long time, the process control level of the whole system is further influenced, and the quality of product batches is influenced.
3. There is no systematic development of anomaly
The traditional abnormal alarm only warns the existing faults, such as air switch faults, motor faults, frequency converter faults and the like, alarm data are directly taken from the state of equipment, and secondary development, system study and judgment and comprehensive analysis are not carried out on the equipment.
SUMMERY OF THE UTILITY MODEL
The utility model aims at providing a system silk thread key process unusual intelligent broadcast device reads data variable state value and judges whether to trigger the audio alert; the intelligent monitoring system has the functions of program development, abnormal information classified storage, statistics and analysis, finally realizes the functions of communication and accurate broadcasting between the PLC-IGS-intelligent voice client software-intelligent voice server, and provides an intelligent solution for monitoring and processing the state of the silk thread making equipment.
The utility model discloses a realize through following technical scheme:
an intelligent broadcasting device for key process abnormity of a yarn making line comprises an information acquisition module, a PLC (programmable logic controller), a workstation, a first sound control module and a loudspeaker;
the information acquisition modules are respectively arranged on corresponding equipment of a set procedure and used for acquiring data signals of the corresponding equipment;
the information acquisition module is in communication connection with an input module of the PLC controller arranged in each process;
the output module of the PLC is in communication connection with the input module of the workstation;
the first sound control module is arranged in the workstation, and corresponding analysis software is installed in the workstation and used for analyzing and processing signals received by an input module of the workstation;
the workstation with first sound control module electricity signal connection, first sound control module's output with speaker electricity signal connection.
The information acquisition module comprises a sensor and/or a data acquisition module.
The sensor comprises one or the combination of more than two of a temperature sensor, a pressure sensor, a liquid level sensor, a flow sensor or a photoelectric sensor.
A storage module is also included within the workstation.
The first sound control module is a sound card.
Furthermore, each production process is provided with a second sound control module and a field workstation, and the second sound control module is connected with an output end electric signal of the field workstation.
The second sound control module is arranged in the field workstation.
And a loudspeaker is arranged in each process and is electrically connected with the second sound control module.
The utility model has the advantages that:
1. the control capability and the level of each process of the silk making are effectively stabilized, the potential equipment hazard prevention and control capability is improved, the product quality fluctuation in batch production is effectively reduced, and the lean management level is improved.
2. The intelligent voice alarm system is organically integrated with the field workstation, the abnormal state of the equipment is timely and accurately released in the spot inspection and production before production, the operator is reminded to prevent and treat the abnormal state, the spot inspection efficiency is improved, and the misoperation and reaction time are reduced.
3. The trouble-shooting time is reduced.
4. The popularization value is high: the intelligent voice alarm system can be popularized and applied to key processes and host equipment, and is wide in application; can be popularized and applied in the cigarette industry.
5. The realization of artificial intelligence on the state detection and voice broadcast function provides an intelligent solution for the state monitoring and processing of the silk thread making equipment.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the technical solutions in the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an intelligent broadcasting device for the abnormal condition of the key process;
fig. 2 is a data communication flow chart of the intelligent broadcasting device for critical process abnormity.
Description of the reference numerals
1 workstation, 2 speakers, 3 field workstations, 4PLC controllers, 5 speakers.
Detailed Description
The technical solution of the present invention will be described clearly and completely with reference to the accompanying drawings, and obviously, the described embodiments are some, but not all embodiments of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative work belong to the protection scope of the present invention.
As shown in fig. 1 and 2, an intelligent broadcasting device for abnormal key process of yarn manufacturing line comprises an information acquisition module, a PLC controller 4, a workstation 1, a first sound control module and a speaker 2;
the information acquisition modules are respectively arranged on corresponding equipment of the set procedure and used for acquiring data signals of the corresponding equipment;
the information acquisition module is in communication connection with an input module of the PLC controller arranged in each process;
an output module of the PLC is in communication connection with an input module of the workstation;
the first sound control module is arranged in the workstation, and corresponding analysis software is installed in the workstation and used for analyzing and processing the signals received by the input module of the workstation;
workstation and first sound control module electricity signal connection, the output and the speaker electricity signal connection of first sound control module.
The information acquisition module comprises a sensor and/or a data acquisition module.
A storage module is also included within the workstation.
The first sound control module is a sound card.
A second sound control module and a field workstation 3 are arranged in each production process, and the second sound control module is in electric signal connection with the output end of the field workstation; the second sound control module is arranged in the field workstation and is also a sound card; a speaker 5 is provided in each process, and the speaker is electrically connected to the second sound control module.
The field workstation is connected with the PLC control of the process through an electric signal of the switch, and meanwhile, the field workstation is connected with the workstation through an electric signal of the switch.
According to the requirements of the system, a sound card and a loudspeaker are installed on a workstation in a production field; the voice alarm software is deployed on a workstation, and the existing network of the system is utilized to receive the alarm message and play the voice alarm according to different procedures. The voice alarm software acquires alarm information through the communication of the original network and the PLC of each process, and realizes voice alarm on the premise of ensuring the stability and reliability of the system. And the alarm information is stored, classified and distributed to the alarm client software of each process segment to realize voice alarm.
The key parameters of each process equipment are shown in the following table:
the sensor passes through the equipment and is arranged on each equipment, and the sensor comprises one or the combination of more than two of a temperature sensor, a pressure sensor, a liquid level sensor, a flow sensor or a photoelectric sensor. And by monitoring the selected key quality index in real time, when the preset control line deviates from the set preset control line, judging and processing are carried out by using a judgment rule, and an alarm is output.
And (3) alarming the running state of the equipment:
1) material shortage alarm output of the material tank: the production state, the feeding state (the feeding valve is opened, the instantaneous flow of the flow meter is larger than zero), the usable time of the residual weight (pv) of the feed liquid of the charging bucket is less than 10 minutes (pv < the actual value of the instantaneous flow of the electronic scale;. set proportion/600), and the charging bucket without the weighing device can be set according to the percentage.
2) And (3) abnormal alarm output of incoming material flow: production state, electronic scale occupation, (actual value of instantaneous flow rate of electronic scale pv-set value of instantaneous flow rate of electronic scale sp)/sp > 1%.
3) And (3) abnormal alarm output of the charging pump: abnormal operation current of the charging pump; the operation frequency of the charging pump is abnormal.
4) Moisture meter or flow meter network anomaly: the preheating or production state is off the net, and the brand channel is incorrect.
5) The injection compressed air pressure is low: the actual value of the pressure of the injection compressed air is less than 90 percent of the set value.
6) Hoisting belt blocking: the blocking time of the photoelectric switch at the blocking position exceeds 3S.
7) Abnormality of the electronic scale: the deviation, zero drift and belt speed abnormity of the electronic scale can be found before production.
The above is merely an example, and does not represent that the technical solution is only applicable to the alarm parameter of going brown.
And (4) carrying out early warning on relevant production important operations, and giving an alarm if the operations are wrong or the production conflicts are caused by the operations. For example: preheating and cleaning operations are triggered in unsuitable occasions, and cabinet selection conflicts and the like exist.
Programming: designing a control program, firstly determining alarm output threshold values (alarm values) of all process parameters, which can be output of parallel connection, series connection and series-parallel connection of certain limited conditions, writing an alarm output control program, and taking abnormal output BOOL quantity values as state values broadcasted by an intelligent analysis system. And (3) resetting the fault: the operator can carry out voice reset after hearing the fault voice alarm, but can not remove the program alarm until the exception is eliminated, and finally the program alarm is removed.
Alarm information acquisition: the system configures the IGS optserver software. And the alarm software establishes a data communication channel with each process section PLC in an OPC mode and collects alarm information points. And storing the acquired alarm information into an alarm information queue. And (3) alarm information recording and sending: the system configures an SQLServer database to store alarm information. And sends the alert message to the alert client section software. Alarm voice broadcasting: the alarm client side synthesizes alarm voice by using a TTS (text to speech TextToSpeech) technology according to the alarm voice text obtained by the received alarm message and plays the alarm voice through a sound card and a loudspeaker, thereby achieving the aim of voice alarm prompt. Different sound cards are configured in each process, and the voice broadcast automatically identifies and sends the sound cards and the loudspeakers corresponding to different processes according to the alarm message to realize the simultaneous voice alarm of different processes. TTS is an abbreviation of Text To Speech, i.e., "from Text To Speech," which is part of a human-machine conversation To enable a machine To speak.
The TTS based on computer application is realized by pure software, and mainly includes the following parts: text analysis-linguistic analysis of the input text, lexical, grammatical and semantic analysis, sentence by sentence, to determine the low-level structure of the sentence and the composition of the phonemes of each word, including text break, word segmentation, processing of polyphones, processing of numbers, processing of abbreviations, etc. And voice synthesis, namely extracting the single character or phrase corresponding to the processed text from a voice synthesis library, and converting the linguistic description into a speech waveform. Prosodic processing-synthesized Speech quality (Qualityof Synthetic Speech) refers to the quality of Speech output by a Speech synthesis system, and is generally subjectively evaluated in terms of intelligibility (or intelligibility), naturalness, and coherence. Clarity is the percentage of meaningful words that are correctly heard; the naturalness is used for evaluating whether the tone quality of the synthesized voice is close to the voice of a person and whether the tone of the synthesized word is natural; coherence is used to evaluate whether a synthesized sentence is fluent.
Software characteristics are reported to trouble intelligence: based on an embedded off-line synthesis engine, zero-flow real-time response is realized, and the fast and stable localization voice clothes are realized. Provides the selection of Chinese-English-Guangdong multiple languages and the multiple styles of male and female voices, and also supports the dynamic adjustment of parameters such as volume, speed, pitch and the like, namely the customized most exclusive voice synthesis.
And (5) carrying out classified statistical analysis on the alarm information. The alarm information is sent to a central control voice alarm database server for storage through voice alarm software. And the classified alarm classified statistic function carries out classified statistic on the stored alarm information to form a report. Basic analysis data is provided for equipment failure analysis. Inquiring and statistically analyzing alarm information data: the system provides flexible and various data query and data analysis functions for alarm information data. The system may provide a query for the alarm data that includes a field of the query. And (4) query content classification:
data time period, process period, alarm category (process parameters, operation alarm, etc.)
The query mode is as follows: the system provides combined query according to the upper section query field; aiming at the characteristics of multiple system query fields, flexible and various query modes, large system data volume and the like, the system query speed is improved through the following design aspects; establishing an index according to the related fields of the query during database design; and optimizing the system query statement. In multi-table query, connection query is used as much as possible without using sub query; when a large amount of data is inquired, a data paging technology is adopted, the data is displayed according to a certain amount of each page, and the data which is not displayed is not loaded; the user interface design fully considers the condition of mass data query, provides corresponding prompt information when the operator queries mass data, and enables the operator to execute mass data query after confirmation.
Data statistical analysis: the system can carry out multi-level and category statistical analysis according to the retrieval and query results of the alarm data by the user and generate various statistical analysis reports. The system can provide the following statistical analysis tables according to the requirements of different users on different levels of alarm data analysis: a list of original alarm data; the system provides an alarm data list query; and (5) comprehensively analyzing a statistical table. The system provides an alarm information comprehensive analysis statistical table. The classification statistical report and the comprehensive analysis statistical report can be designed according to the formats required by users according to the process sections, the working procedures, the teams and the alarm categories.
Based on the generated statistical analysis data, the system provides rich statistical analysis graphs, and the system data is displayed to a system user in a visual and clear mode, so that different statistical analysis graphs can be developed according to needs. Statistical analysis chart: a bar graph providing a lateral contrast of alarm data items provides a convenient means. The system provides bar-shaped graphs of which the alarm data are grouped according to process sections, procedures, shifts, categories and the like; the system comprises a scatter diagram, a data processing system and a data processing system, wherein the scatter diagram provides a function of comparing and displaying a plurality of alarm data in the same diagram; the line graph provides a function of displaying a plurality of alarm data in the same graph according to different classifications; and the pie chart provides a function of performing cumulative statistical analysis on the alarm data items, and the system provides a pie chart function of performing grouping statistics on the alarm data according to process sections, working procedures and shifts.
The above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention.
Claims (6)
1. An intelligent broadcasting device for key process abnormity of a silk making thread is characterized by comprising an information acquisition module, a PLC (programmable logic controller), a workstation, a first sound control module and a loudspeaker;
the information acquisition modules are respectively arranged on corresponding equipment of a set procedure and used for acquiring data signals of the corresponding equipment;
the information acquisition module is in communication connection with an input module of the PLC controller arranged in each process;
the output module of the PLC is in communication connection with the input module of the workstation;
the first sound control module is arranged in the workstation;
the workstation is in electrical signal connection with the first sound control module, and the output end of the first sound control module is in electrical signal connection with the loudspeaker;
the first sound control module is a sound card;
and a second sound control module and a field workstation are arranged in each production process, and the second sound control module is electrically connected with an output end of the field workstation.
2. A filament making line key process abnormity intelligent broadcasting device according to claim 1, wherein the information acquisition module comprises a sensor and/or a data acquisition module.
3. The intelligent broadcasting device for the abnormity of the key working procedures of the wire making line according to claim 2, wherein the sensor comprises one or more of a temperature sensor, a pressure sensor, a liquid level sensor, a flow sensor or a photoelectric sensor.
4. A filament making line key process anomaly intelligent broadcasting device according to claim 1, characterized by further comprising a storage module in the workstation.
5. The system wire key process abnormity intelligent broadcasting device according to claim 1, wherein a second sound control module is arranged in the field workstation.
6. The intelligent broadcasting device for the abnormity of the key working procedures of the shoemaking line according to claim 1, wherein a loudspeaker is arranged in each working procedure, and the loudspeaker is in electric signal connection with the second sound control module.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201921978884.2U CN211604278U (en) | 2019-11-15 | 2019-11-15 | Unusual intelligent broadcasting device of key process of system silk thread |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201921978884.2U CN211604278U (en) | 2019-11-15 | 2019-11-15 | Unusual intelligent broadcasting device of key process of system silk thread |
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| CN211604278U true CN211604278U (en) | 2020-09-29 |
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