CN111667375A - Research method of intelligent tea production line monitoring system - Google Patents
Research method of intelligent tea production line monitoring system Download PDFInfo
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- CN111667375A CN111667375A CN202010503060.0A CN202010503060A CN111667375A CN 111667375 A CN111667375 A CN 111667375A CN 202010503060 A CN202010503060 A CN 202010503060A CN 111667375 A CN111667375 A CN 111667375A
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Abstract
The invention discloses a research method of a monitoring system of an intelligent tea production line, which comprises the research of a production monitoring host platform, the research of a data acquisition and transmission platform and the research of a data acquisition and control platform; the intelligent tea factory production monitoring system is designed and developed by adopting the Internet of things and big data technology, so that processing control intellectualization is realized; the credible collection of system parameters, network transmission, intelligent analysis and dynamic adjustment are realized by applying relevant principles of standardization, advancement, reliability, openness, economy and the like; the intelligent expert production control system for the fresh tea leaves of different classes and grades is established to reduce the production cost of enterprises, reduce the labor intensity of workers, improve the automation and intelligence level of tea production and processing, improve the economic benefit of enterprises, establish the technical test point application of the intelligent production process of needle-shaped famous tea and lay a solid foundation for the construction of intelligent tea factories.
Description
Technical Field
The invention relates to the technical field of tea production, in particular to a research method of a monitoring system of an intelligent tea production line.
Background
Tea refers to the leaves and buds of tea trees, broadly refers to the leaves of the evergreen bush tea tree which can be used for making tea, and the beverage brewed by the leaves, and later refers to all herbal teas brewed by plant flowers, leaves, seeds and roots, such as chrysanthemum tea and the like; herbal tea prepared from various medicinal materials. The tea contains catechin, cholestenone, caffeine, inositol, folic acid, pantothenic acid, etc., and can promote health.
At present, the tea production and processing process has the related problems of inconvenient monitoring, lag control, difficult acquisition of key parameters, laggard expert analysis and control strategies and the like.
Disclosure of Invention
In order to overcome the problems, the invention provides a research method of an intelligent tea production line monitoring system, which adopts the technology of Internet of things and big data to design and develop a set of intelligent tea plant production monitoring system so as to realize processing control intellectualization; the credible collection of system parameters, network transmission, intelligent analysis and dynamic adjustment are realized by applying relevant principles of standardization, advancement, reliability, openness, economy and the like; the intelligent expert production control system for the fresh tea leaves of different classes and grades is established to reduce the production cost of enterprises, reduce the labor intensity of workers, improve the automation and intelligence level of tea production and processing, improve the economic benefit of enterprises, establish the technical test point application of the intelligent production process of needle-shaped famous tea and lay a solid foundation for the construction of intelligent tea factories.
The technical scheme adopted by the invention is as follows:
the method for researching the intelligent tea production line monitoring system comprises the research of a production monitoring host platform, the research of a data acquisition and transmission platform and the research of a data acquisition and control platform;
the research of the production monitoring host platform comprises research and development of a related server, research and development of central station software of a production monitoring system and research and development of client software of the production monitoring system;
the research of the data acquisition and transmission platform comprises the research of networking and butting of central station software and data of each acquisition system, the research of bidirectional data interaction between each subsystem and a network or cloud data center, the research of a system backbone network, the research of a network transmission topological structure between the backbone network and a substation, the research of a substation and a sensor, the research of a network transmission topological structure between the substation and a controller, and the research of information transmission control substations and network switch equipment;
the research of the data acquisition control platform comprises the research of data acquisition equipment and the research of control equipment.
The research and development of the related server comprise a research and development database server used for storing real-time collected data, business data and other third-party data; the WCF server is used for packaging various services, such as authority service, form service and report service, and can access each database and extract data from the database; developing a WEB server, operating server software, storing various resource information and providing documents to a browser which sends a request;
the research and development of the software of the central station of the production monitoring system comprises the realization of research intelligent expert model; the method comprises the following steps of researching acquisition and visual display of real-time information of a sensor, displaying real-time monitoring data and change trend of the tea production environment in a multi-dimensional mode, analyzing a curve, giving an alarm in real time and prompting early warning information; researching and inquiring detailed analog quantity alarm information, switching quantity alarm information, networking state abnormal information, sensor equipment information and sensor equipment historical information data; researching various statistical analysis modes based on an intelligent expert model; researching the state of the production process, monitoring the running state of equipment and displaying dynamic information around the main production process links of 'enzyme deactivation, rolling, carding and drying' by taking tea production and processing as a center, and visually displaying the tea processing flow, the real-time parameters of tea processing, the running state of the equipment, the control state and the alarm state;
research and development of client software of the production monitoring system comprises researching a system client architecture based on an IIS server, acquiring multiple parameters including tea state data, production process data and frame basic data as data sources of the whole system, establishing a Web terminal based on NETFramework and ASP.NETMVC, and supporting a development mode of a plug-in and an automatic menu processing and permission control technology; research on the implementation of specific functional services of a data access layer (Depot), a Service processing layer (Service) and a presentation layer terminal.
The research of the data networking butt joint of the central station software and each acquisition system comprises: the required tea production data are ensured to be collected, transmitted and processed according to the relevant standard requirements;
research on data bidirectional interaction between each subsystem and a network or cloud data center: the acquisition platform acquires, transmits and processes data according to relevant standards, so that the data is timely, accurate and reliable, and the normal operation of each system of the platform is ensured;
the study of the network transmission topological structure among a system backbone network, a backbone network and a substation, a substation and a sensor, and a substation and a controller: exploring the application of industrial Ethernet, RS485, CAN, LonWorks, Profibus, Wavemesh, Zigbee, Wi-Fi and RFID network transmission forms in the system;
development of information transmission control substation and network switch equipment: the centralized acquisition and conversion processing of parameter signals are realized, a data fusion platform is constructed, intelligent prejudgment is carried out, abnormal monitoring points are rapidly processed, data are transmitted at a high speed, and a redundant network architecture is supported.
Wherein, the research of the data acquisition equipment: the real-time acquisition technology of various parameters of the state of tea and the state of processing equipment in the tea production and processing process is researched; researching tea leaf surface morphology and color image identification and comparison technology based on machine vision; exploring the online monitoring technology of the water content of the tea; researching an on-site intelligent diagnosis judgment model and an on-line judgment technology; researching the design and implementation of various sensors; researching the design and implementation application of the monitoring substation;
study of control devices: the intelligent control equipment based on the Internet of things, big data and an expert system is researched to control the related parameters of the spreading thickness, the baking temperature, the advancing speed, the weight and the pressure of the tea in the production process, so that the aim of intelligent control is fulfilled.
Wherein, the monitoring system developed by the method is internally provided with a production control system scheme for processing not less than 5 types of famous tea; the maximum inspection cycle of the system is not more than 30 s; the system is accessed to 255 maximum substations, and 16 sensors and 8 actuators with the maximum capacity allowed to be accessed by each substation.
The invention has the following advantages:
the intelligent tea factory production monitoring system is designed and developed by adopting the Internet of things and big data technology, so that processing control intellectualization is realized; the credible collection of system parameters, network transmission, intelligent analysis and dynamic adjustment are realized by applying relevant principles of standardization, advancement, reliability, openness, economy and the like; the intelligent expert production control system for the fresh tea leaves of different classes and grades is established to reduce the production cost of enterprises, reduce the labor intensity of workers, improve the automation and intelligence level of tea production and processing, improve the economic benefit of enterprises, establish the technical test point application of the intelligent production process of needle-shaped famous tea and lay a solid foundation for the construction of intelligent tea factories.
Detailed Description
The present invention will be further described below, but the present invention is not limited to these.
Examples
The method for researching the intelligent tea production line monitoring system comprises the research of a production monitoring host platform, the research of a data acquisition and transmission platform and the research of a data acquisition and control platform;
the research of the production monitoring host platform comprises the research and development of related servers, the research and development of central station software of a production monitoring system and the research and development of client software of the production monitoring system;
the research and development of the related server comprises a research and development database server for storing real-time collected data, service data and other third-party data; the WCF server is used for packaging various services, such as authority service, form service and report service, and can access each database and extract data from the database; developing a WEB server, operating server software, storing various resource information and providing documents to a browser which sends a request;
the research and development of the software of the central station of the production monitoring system comprises the realization of research intelligent expert model; the method comprises the following steps of researching acquisition and visual display of real-time information of a sensor, displaying real-time monitoring data and change trend of the tea production environment in a multi-dimensional mode, analyzing a curve, giving an alarm in real time and prompting early warning information; researching and inquiring detailed analog quantity alarm information, switching quantity alarm information, networking state abnormal information, sensor equipment information and sensor equipment historical information data; researching various statistical analysis modes based on an intelligent expert model; researching the state of the production process, monitoring the running state of equipment and displaying dynamic information around the main production process links of 'enzyme deactivation, rolling, carding and drying' by taking tea production and processing as a center, and visually displaying the tea processing flow, the real-time parameters of tea processing, the running state of the equipment, the control state and the alarm state;
research and development of client software of the production monitoring system comprises researching a system client architecture based on an IIS server, acquiring multiple parameters including tea state data, production process data and frame basic data as data sources of the whole system, establishing a Web terminal based on NETFramework and ASP.NETMVC, and supporting a development mode of a plug-in and an automatic menu processing and permission control technology; research on the implementation of specific functional services of a data access layer (Depot), a Service processing layer (Service) and a presentation layer terminal.
The research of the data acquisition and transmission platform comprises the research of networking and butting of central station software and data of each acquisition system, the research of bidirectional data interaction between each subsystem and a network or a cloud data center, the research of a system backbone network, a backbone network and substations, substations and sensors, the research of a network transmission topological structure between the substations and a controller, the research of an information transmission control substation and the research of network switch equipment;
the research of the data networking and docking of the central station software and each acquisition system comprises the following steps: the required tea production data are ensured to be collected, transmitted and processed according to the relevant standard requirements;
research on data bidirectional interaction between each subsystem and a network or cloud data center: the acquisition platform acquires, transmits and processes data according to relevant standards, so that the data is timely, accurate and reliable, and the normal operation of each system of the platform is ensured;
the study of the network transmission topological structure among a system backbone network, a backbone network and a substation, a substation and a sensor, and a substation and a controller: exploring the application of industrial Ethernet, RS485, CAN, LonWorks, Profibus, Wavemesh, Zigbee, Wi-Fi and RFID network transmission forms in the system;
development of information transmission control substation and network switch equipment: centralized collection and conversion processing of parameter signals are realized, a data fusion platform is constructed, intelligent prejudgment is carried out, abnormal monitoring points are rapidly processed, data are transmitted at a high speed, and a redundant network architecture is supported;
the research of the data acquisition control platform comprises the research of data acquisition equipment and the research of control equipment.
Study of data acquisition devices: the real-time acquisition technology of various parameters of the state of tea and the state of processing equipment in the tea production and processing process is researched; researching tea leaf surface morphology and color image identification and comparison technology based on machine vision; exploring the online monitoring technology of the water content of the tea; researching an on-site intelligent diagnosis judgment model and an on-line judgment technology; researching the design and implementation of various sensors; researching the design and implementation application of the monitoring substation;
study of control devices: the intelligent control equipment based on the Internet of things, big data and an expert system is researched to control the related parameters of the spreading thickness, the baking temperature, the advancing speed, the weight and the pressure of the tea in the production process, so that the aim of intelligent control is fulfilled.
Wherein, the monitoring system developed by the method is internally provided with a production control system scheme for processing not less than 5 types of famous tea; the maximum inspection cycle of the system is not more than 30 s; the system is accessed to 255 maximum substations, and 16 sensors and 8 actuators with the maximum capacity allowed to be accessed by each substation.
It is noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention.
Claims (5)
1. The research method of the monitoring system of the intelligent tea production line is characterized in that: the method comprises the following steps of researching a production monitoring host platform, researching a data acquisition and transmission platform and researching a data acquisition and control platform;
the research of the production monitoring host platform comprises research and development of a related server, research and development of central station software of a production monitoring system and research and development of client software of the production monitoring system;
the research of the data acquisition and transmission platform comprises the research of networking and butting of central station software and data of each acquisition system, the research of bidirectional data interaction between each subsystem and a network or cloud data center, the research of a system backbone network, the research of a network transmission topological structure between the backbone network and a substation, the research of a substation and a sensor, the research of a network transmission topological structure between the substation and a controller, and the research of information transmission control substations and network switch equipment;
the research of the data acquisition control platform comprises the research of data acquisition equipment and the research of control equipment.
2. The research method of the intelligent tea production line monitoring system according to claim 1, characterized in that: the research and development of the related server comprises a research and development database server for storing real-time collected data, service data and other third-party data; the WCF server is used for packaging various services, such as authority service, form service and report service, and can access each database and extract data from the database; developing a WEB server, operating server software, storing various resource information and providing documents to a browser which sends a request;
the research and development of the software of the central station of the production monitoring system comprises the realization of research intelligent expert model; the method comprises the following steps of researching acquisition and visual display of real-time information of a sensor, displaying real-time monitoring data and change trend of the tea production environment in a multi-dimensional mode, analyzing a curve, giving an alarm in real time and prompting early warning information; researching and inquiring detailed analog quantity alarm information, switching quantity alarm information, networking state abnormal information, sensor equipment information and sensor equipment historical information data; researching various statistical analysis modes based on an intelligent expert model; researching the state of the production process, monitoring the running state of equipment and displaying dynamic information around the main production process links of 'enzyme deactivation, rolling, carding and drying' by taking tea production and processing as a center, and visually displaying the tea processing flow, the real-time parameters of tea processing, the running state of the equipment, the control state and the alarm state;
research and development of client software of the production monitoring system comprises researching a system client architecture based on an IIS server, acquiring multiple parameters including tea state data, production process data and frame basic data as data sources of the whole system, establishing a Web terminal based on NET Framework and ASP. Research on the implementation of specific functional services of a data access layer (Depot), a Service processing layer (Service) and a presentation layer terminal.
3. The research method of the intelligent tea production line monitoring system according to claim 1, characterized in that: the research of the data networking and docking of the central station software and each acquisition system comprises the following steps: the required tea production data are ensured to be collected, transmitted and processed according to the relevant standard requirements;
research on data bidirectional interaction between each subsystem and a network or cloud data center: the acquisition platform acquires, transmits and processes data according to relevant standards, so that the data is timely, accurate and reliable, and the normal operation of each system of the platform is ensured;
the study of the network transmission topological structure among a system backbone network, a backbone network and a substation, a substation and a sensor, and a substation and a controller: exploring the application of industrial Ethernet, RS485, CAN, LonWorks, Profibus, Wavemesh, Zigbee, Wi-Fi and RFID network transmission forms in the system;
development of information transmission control substation and network switch equipment: the centralized acquisition and conversion processing of parameter signals are realized, a data fusion platform is constructed, intelligent prejudgment is carried out, abnormal monitoring points are rapidly processed, data are transmitted at a high speed, and a redundant network architecture is supported.
4. The research method of the intelligent tea production line monitoring system according to claim 1, characterized in that: study of data acquisition devices: the real-time acquisition technology of various parameters of the state of tea and the state of processing equipment in the tea production and processing process is researched; researching tea leaf surface morphology and color image identification and comparison technology based on machine vision; exploring the online monitoring technology of the water content of the tea; researching an on-site intelligent diagnosis judgment model and an on-line judgment technology; researching the design and implementation of various sensors; researching the design and implementation application of the monitoring substation;
study of control devices: the intelligent control equipment based on the Internet of things, big data and an expert system is researched to control the related parameters of the spreading thickness, the baking temperature, the advancing speed, the weight and the pressure of the tea in the production process, so that the aim of intelligent control is fulfilled.
5. The research method of the intelligent tea production line monitoring system according to claim 1, characterized in that: the monitoring system developed by the method is internally provided with a production control system scheme for processing not less than 5 types of famous tea; the maximum inspection cycle of the system is not more than 30 s; the system is accessed to 255 maximum substations, and 16 sensors and 8 actuators with the maximum capacity allowed to be accessed by each substation.
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