CN103593962B - Remote Network Real-time Monitoring Method of Organic Vegetable Quality Based on Sensor Communication - Google Patents

Abstract

The invention relates to a remote network real-time monitoring method for the quality of organic vegetables based on sensor communication, through the unique node design of the video information data collection of the production process of organic vegetables in the organic vegetable quality monitoring method, the classification identification mark of the target information data, the terminal The unique design of distributed monitoring and processing overcomes the inability of the existing technology to collect, identify and monitor the parameter information data of organic vegetable growth environment and growth state changes; realizes the establishment of a wireless sensor network for organic vegetable growth environment monitoring, and realizes Real-time collection, real-time transmission and real-time monitoring of data such as temperature, humidity, and CO2 concentration in the organic vegetable production environment; and greatly simplifies the development of the Internet of Things public display platform.

Description

Remote Network Real-time Monitoring Method of Organic Vegetable Quality Based on Sensor Communication

technical field

The invention relates to the technical field of monitoring, in particular to a method for remote network real-time monitoring of vegetable quality, and more specifically to a method for remote network real-time monitoring of organic vegetable quality based on sensor communication.

Background technique

At this stage, my country's "Vegetable Basket Project" has grown stronger, and the number of fruit and vegetable bases above the designated size is increasing year by year. However, in today's vast rural areas, due to the large investment, labor-intensive methods are often used for daily management of vegetable greenhouses. Management is highly dependent on people, and the quality of management often depends on the judgment of personnel experience on things, which sometimes leads to misjudgment of temperature and humidity in the greenhouse due to negligence, which affects production. In the traditional mode, a single-skin machine is also used as the controller to detect physical quantities such as temperature and humidity in the greenhouse, but the scale and function are small, and the construction of the infrastructure is repeated, and only limited data parameters for one greenhouse or several surrounding greenhouses Detection, the function is single, and it is impossible to realize remote monitoring and so on.

"Agricultural Internet of Things numerical control system" is a part of the Internet of Things technology. At present, the Internet of Things has become a leading field for countries to build a new model of economic and social development and reshape the country's long-term competitiveness. Developed countries have accelerated the development of the Internet of Things through measures such as national strategic guidance, government R&D investment, global promotion of enterprises, application pilot construction, and policy and legal guarantees to seize the strategic initiative and development opportunities. my country already has a certain application, technology and industrial foundation, and is marked by the construction of the Internet of Things industrial park, smart/smart city construction and application demonstrations, forming an upsurge in the development of the Internet of Things and making positive progress. The country's "Twelfth Five-Year Plan" The Internet of Things has been included in the development outline, which provides a good development opportunity for the development of the Internet of Things industry.

At present, most of the Internet of Things companies at home and abroad are sensor manufacturers or micro-meteorological equipment manufacturers. There are very few countries and institutions that specialize in the application of the Internet of Things in specific industries, and there is no professional system that can directly guide agricultural production or integrate and optimize the overall industry. Its technical level is still at a single collection device that can only be equipped with a small number of sensors to collect data, cannot freely form a network to collect data and effectively control agricultural facilities, and cannot use wireless technology to transmit data and video information. The combination of the above three technologies is even more uninterested. .

How to truly realize the networked and clustered management of agricultural Internet of Things equipment, organically connect the information islands of each Internet of Things into a network, and realize effective control at each node of the Internet of Things, is the real realization of the "Agricultural Internet of Things" networking Concept, and then realize the technical characteristics of multi-channel acquisition, wireless free networking, wireless wired free transmission and so on.

The "Agricultural Internet of Things CNC System" plays a very important role in monitoring, protecting and improving the ecological environment. The system collects and analyzes data on a series of environmental elements through free networking or independent monitoring, and then combines the application parameters provided by relevant industry experts to monitor and control the environment in the area. It can be widely used in food safety, chemical industry, warehousing, returning farmland to forest and grassland, natural forest protection, closing mountains for afforestation, atmospheric environment monitoring, water quality monitoring and control, plant growth and environmental monitoring and control, desert control monitoring, agricultural irrigation, facility agriculture , Urban three-dimensional greening, fishery production, and regionalized agricultural production. At present, the "Agricultural Internet of Things CNC System" has been applied in the fields of high-efficiency and high-quality facility agriculture and high-end aquaculture. More importantly, this system is of great significance in ensuring food safety, food traceability, and expanding the export of agricultural products.

At present, with the rapid development of modern agriculture, more and more vegetable greenhouses appear. However, a considerable number of plastic greenhouses cannot make normal profits due to improper room temperature control, and some greenhouses still use the original method of thermometer measurement, which cannot achieve the purpose of automatic monitoring. Therefore, the backwardness of monitoring means seriously hinders the acquisition of data and affects the automatic management process.

Therefore, in order to avoid the above-mentioned technical problems, it is indeed necessary to provide a vegetable greenhouse temperature monitoring system device to overcome the above-mentioned defects in the prior art.

With the development of vegetable greenhouses in my country toward scale and industrialization, the management level of greenhouse informatization directly affects the output and quality of agricultural products. Therefore, it is of great significance to monitor and control the environmental parameters of the greenhouse during the production process. Due to the unbalanced agricultural development in various regions of our country and the constraints of farmers' ability to master science and technology, the traditional wired monitoring method is complicated to operate and cannot meet actual needs. With the popularity of mobile phones in rural areas, the system adopts the GSM wireless network solution has more advantages. The network has a wide coverage and is not limited by distance, and can realize wireless communication at any time and any place in the form of short messages.

Controlled atmosphere storage and preservation is an important fresh-keeping technology for fruits, vegetables and other foods at present. The method is: in the controlled atmosphere storage fresh-keeping room, the gas composition in the storage environment is artificially controlled to realize food fresh-keeping. In recent years, domestic and foreign researches on ozone preservation of fruits and vegetables are very active. The research results show that ozone can effectively prolong the storage time of fruits, vegetables and other foods.

The principle of ozone fresh-keeping technology is: ozone has strong oxidizing properties, and its chemical properties are active in the storage environment of fruits, vegetables and other foods, and can be sterilized, disinfected, and deodorized. In particular, ozone can decompose the fruit and vegetable metabolite ethylene, so it can delay the subsequent aging and prolong its freshness period. Ozone is easy to decompose, the final product is oxygen, and there is no residue in food, so it is safe. But for the human body, ozone is an irritating gas, and the content in the fresh-keeping room is much higher than the normal value, so the labor protection problem of the operators must be solved.

Wireless sensor network (WirelessSensorNetwork) is a multi-hop self-organizing network system formed by many small sensor nodes through radio communication. ZigBee wireless sensor network is constructed based on IEEE802.15.4 standard. This type of wireless sensor network supports mesh network technology, which can contain a large number of nodes, and self-organize multiple routes between nodes to transmit information, thus forming a reliable network. The ozone fresh-keeping control system based on ZigBee wireless sensor network can realize automatic control or manual remote operation, reduce the working time of operators in the fresh-keeping room and protect human health.

Once "winter warm type" greenhouse planting vegetables appeared, it was accepted by the majority of vegetable growers and has become a known method for planting vegetables. As we know, vegetable greenhouses need to be supervised by special personnel every day, so as to keep abreast of the growth of vegetables and changes in temperature and humidity in the greenhouse, which to a certain extent has caused a waste of manpower. A high-tech monitoring system for unsupervised vegetable greenhouses has become one of the most important development topics at present.

Currently, organic vegetables are internationally recognized as the highest-grade and safest vegetable products. However, do these vegetables with the word "organic" really meet the standards? CCTV’s “Early Reference” reporter found through on-the-spot investigations that expensive organic vegetables were being faked as real ones, some organic vegetable planting bases used excessive pesticides and fertilizers in violation of regulations, and some organic vegetable fields were next to abandoned chemical factories. There are piles of rubbish beside the fields; at the same time, the distance between organic farmland and ordinary farmland is only one meter, which cannot guarantee the requirements of organic farmland in terms of water, soil, chemical fertilizers, and pesticides. In this way, organic vegetables with various problems entered the market all the way, with high price tags, and flowed to people's tables. With the development of organic vegetables in recent years, as the safest food in the country, it is the focus of the future development of the food industry and the main trend of people's consumption. Its production and quality safety management are related to the quality and safety of the entire vegetable industry. Guarantees play a key role. The production development and safety of organic vegetables are very important to enhance the international competitiveness and status of my country's food industry, and it is the main trend and focus of China's agricultural economic development at present and in the future.

The inventor's research goal is to apply mobile Internet technology, sensor technology, wireless communication technology, remote monitoring technology, etc., to establish a mobile Internet-oriented organic vegetable quality and safety process monitoring system, which can summarize and monitor the raw materials in the organic agricultural production system Planting, collection, processing, packaging, storage, transportation and other production process information, and provide consumers and relevant managers with effective and convenient real-time information resources. At the same time, a mobile Internet demonstration of the quality and safety of organic vegetable production process was established in Wuyuetian Organic Farm, Suzhou, to carry out comprehensive services for the quality and safety of organic vegetables, and to promote research results to the outside world to ensure the quality of organic vegetables and increase consumers' demand for organic vegetables. , further cultivate the demand market for organic vegetables, and promote the healthy development of the organic vegetable industry.

At this stage, there are frequent safety problems of organic vegetables, such as: the quality of famous brands is difficult to guarantee, organic vegetables are not up to standard, and there are even counterfeit organic vegetables. Received a serious crisis of confidence. Inadequate supervision is an important reason for this situation. At present, there are a total of 23 companies with organic certification qualifications in my country. Some certified companies cannot strictly follow the national organic standards to review, track and manage enterprises applying for organic certification, resulting in unqualified products from some vegetable production bases getting away with it and entering the market. .

Therefore, the establishment of a mobile Internet-oriented organic vegetable quality and safety process monitoring system has become a research trend, and a system based on the mobile Internet and cloud computing platform can be used for real-time quality monitoring of the entire production process of organic vegetables through various smart terminals. platform. Through the mobile Internet-oriented organic vegetable quality and safety process monitoring system developed by the project, the zero distance between consumers and the field has been realized, and consumers can directly understand the planting, picking, processing, packaging, storage, and production of organic vegetables in real time during the production process. The real information of transportation can also allow various vegetable quality and safety supervision and certification units to monitor the whole process of organic vegetable production, so that organic vegetables can truly be the food with the highest safety and best quality. So that consumers can enjoy the safe to buy and eat organic vegetables.

Therefore, building a mobile Internet-oriented system platform capable of real-time data monitoring in the organic vegetable production base is an urgent need to maintain the rapid, sustainable and healthy development of organic agricultural production, and it is the key to protecting the interests of consumers, improving the popularity of organic vegetable enterprises, and expanding enterprises. One of the important ways of market share. Realize information sharing and information transparency of organic vegetable production, strengthen information exchange and supervision, and become a relatively sound production information monitoring system.

Contents of the invention

The purpose of the present invention is to aim at the deficiencies of the prior art in the relevant technical field, on the basis of a large amount of existing documents and the inventor's long-term practice, through the unique method of video information data collection of the production process of organic vegetables in the organic vegetable quality monitoring method The unique design of node design, classification and identification mark of target information data, and terminal distributed monitoring and processing overcomes the inability of the existing technology to collect, identify and monitor the parameter information data of organic vegetable growth environment and growth state changes; realizes organic vegetable The establishment of the wireless sensor network for growth environment monitoring realizes real-time collection, real-time transmission and real-time monitoring of data such as temperature, humidity, and CO2 concentration in the organic vegetable production environment; and greatly simplifies the development of the Internet of Things public display platform. The relevant information of organic vegetable production is displayed in real time on a large screen, such as the status of the growth environment, growth status, fertilization, pesticide application and other information; so that various food supervision and certification units can remotely monitor the whole process of organic vegetable production and realize organic vegetable production. Production information sharing and information transparency, strengthen the exchange of information and the role of supervision, so that organic vegetables can truly be the food with the highest safety and the best quality.

To achieve the above object, the present invention is achieved through the following technical solutions:

A remote network real-time monitoring method for organic vegetable quality based on sensory communication of the present invention, said method for remote network real-time monitoring of organic vegetable quality based on sensory communication comprises the following steps in sequence: video information data collection of organic vegetable production process, target The classification identification mark of information data, the above-mentioned terminal distributed monitoring processing; It is characterized in that,

The video information data collection of the production process of organic vegetables: by evenly setting a plurality of organic vegetable quality monitoring sensor nodes in the organic vegetable base, the parameter information data of the organic vegetable growth environment and growth state changes are collected; The first step is to carry out the location layout of organic vegetable quality monitoring sensor nodes and bases, the matching of physical addresses of monitoring sensor nodes and monitoring areas, setting the system time and monitoring interval time difference of monitoring sensor nodes, and monitoring the organic vegetable growth environment parameters of sensor nodes Information selection, parameter information selection of organic vegetable growth state change monitoring sensor nodes; wherein, the location layout of the organic vegetable quality monitoring sensor nodes and base stations is inside the organic vegetable base, and the organic vegetable quality monitoring sensor nodes The sensor nodes are distributed in a multi-level star network; each of the organic vegetable quality monitoring sensor nodes is built in sequence: a sensor module that can automatically correct photosensitive detection, a distributed infrared dual-core optical fiber temperature sensor module, and a dynamic response ionized gas sensor module. Humidity sensing module, built-in carbon nanotube thin film temperature and humidity difference high-precision response detection module, carbon dioxide concentration calibration measurement sensor module; wherein, the automatically correctable photosensitive detection sensor module sequentially includes a photosensitive acquisition unit, a light detection unit, Light automatic adjustment and correction unit, photosensitive information data sending unit; the distributed infrared dual-core optical fiber temperature sensing module includes a plurality of distributed multi-segment single-mode dual-core optical fiber sensing units, long-distance optical fiber temperature detection unit, multi-point Infrared optical fiber temperature information data sending unit; the dynamic response ionization gas humidity sensing module sequentially includes a multi-electrode air pressure dynamic sensing unit, a gas humidity capacitive change detection unit, and a humidity information data sending unit; the carbon nanotube film is built-in The temperature-humidity difference high-precision response detection module includes three elliptical carbon nanotube films, a temperature-humidity difference high-precision response unit, a temperature-humidity difference high-precision response information data aggregation unit, and a temperature-humidity difference information data sending unit, wherein the temperature and humidity difference The humidity difference high-precision response unit, the temperature-humidity difference high-precision response information data aggregation unit, and the temperature-humidity difference information data transmission unit are placed on the corresponding surfaces of the three oval carbon nanotube films; the carbon dioxide concentration calibration measurement sensing module includes A substrate, a plurality of carbon dioxide detection membranes formed adjacent to each other on the substrate, a carbon dioxide concentration calibration module, and a carbon dioxide concentration calibration information data transmission module, wherein the plurality of carbon dioxide detection membranes have a thin film layer formed on the substrate , and a catalyst layer formed on the surface of the film layer;

The classification and identification mark of the target information data: the above-mentioned information data collected on the parameter information data of the organic vegetable growth environment and growth state changes are stored, initialized and sorted sequentially, and then the above-mentioned classified target The information data is transmitted to the multi-level cluster hierarchical network structure by one-way communication for category marking, and then multiple identification, detection and correction are performed on the marked information data of each category;

The terminal distributed monitoring process: through the central control device, the terminal distributed monitoring is performed on the target information data of the above-mentioned classification and identification marks, and the central control device includes a concentrator, a multi-point network monitoring unit, and a central network monitoring unit; wherein, the The concentrator receives the target information data of the above-mentioned classification and identification marks through a low-voltage carrier, the concentrator is connected to the multi-point network monitoring unit through a serial port, and the multi-point network monitoring unit is connected to a terminal receiving device through its communication module to collect the centralized The target information data of the device is pushed to the central network monitoring unit through the terminal sending device, and the central network monitoring unit monitors and processes it in real time.

Wherein, the unified real-time monitoring process of the central network monitoring unit in the above-mentioned terminal distributed monitoring process includes at least target information data storage management authorization, parameter information data requirement configuration of target information data according to organic vegetable growth environment and growth state changes, and over-standard alarm configuration .

Wherein, according to the remote network real-time monitoring system of organic vegetable quality based on sensory communication in the above-mentioned remote network real-time monitoring method of organic vegetable quality based on sensory communication.

Beneficial effects: In the collection of video information data in the production process of organic vegetables, the present invention uniquely designs a plurality of organic vegetable quality monitoring sensor nodes evenly in the organic vegetable base, and establishes a unique and efficient node system to meet the needs of organic vegetables. The real-time monitoring of quality remote network based on sensor communication for vegetable planting greenhouses is actually required; it is widely used in the field of quality monitoring of various green food planting.

detailed description

The present invention will be further described below in combination with specific embodiments.

Example 1:

A remote network real-time monitoring method for organic vegetable quality based on sensory communication, said method for remote network real-time monitoring of organic vegetable quality based on sensory communication comprises the following steps in sequence: video information data collection of organic vegetable production process, target information data collection Classification and identification marks, the above-mentioned terminal distributed monitoring and processing; it is characterized in that,

The video information data collection of the production process of organic vegetables: by evenly setting a plurality of organic vegetable quality monitoring sensor nodes in the organic vegetable base, the parameter information data of the organic vegetable growth environment and growth state changes are collected; The first step is to carry out the location layout of organic vegetable quality monitoring sensor nodes and bases, the matching of physical addresses of monitoring sensor nodes and monitoring areas, setting the system time and monitoring interval time difference of monitoring sensor nodes, and monitoring the organic vegetable growth environment parameters of sensor nodes Information selection, parameter information selection of organic vegetable growth state change monitoring sensor nodes; wherein, the location layout of the organic vegetable quality monitoring sensor nodes and base stations is inside the organic vegetable base, and the organic vegetable quality monitoring sensor nodes The sensor nodes are distributed in a multi-level star network; each of the organic vegetable quality monitoring sensor nodes is built in sequence: a sensor module that can automatically correct photosensitive detection, a distributed infrared dual-core optical fiber temperature sensor module, and a dynamic response ionized gas sensor module. Humidity sensing module, built-in carbon nanotube thin film temperature and humidity difference high-precision response detection module, carbon dioxide concentration calibration measurement sensor module; wherein, the automatically correctable photosensitive detection sensor module sequentially includes a photosensitive acquisition unit, a light detection unit, Light automatic adjustment and correction unit, photosensitive information data sending unit; the distributed infrared dual-core optical fiber temperature sensing module includes a plurality of distributed multi-segment single-mode dual-core optical fiber sensing units, long-distance optical fiber temperature detection unit, multi-point Infrared optical fiber temperature information data sending unit; the dynamic response ionization gas humidity sensing module sequentially includes a multi-electrode air pressure dynamic sensing unit, a gas humidity capacitive change detection unit, and a humidity information data sending unit; the carbon nanotube film is built-in The temperature-humidity difference high-precision response detection module includes three elliptical carbon nanotube films, a temperature-humidity difference high-precision response unit, a temperature-humidity difference high-precision response information data aggregation unit, and a temperature-humidity difference information data sending unit, wherein the temperature and humidity difference The humidity difference high-precision response unit, the temperature-humidity difference high-precision response information data aggregation unit, and the temperature-humidity difference information data transmission unit are placed on the corresponding surfaces of the three oval carbon nanotube films; the carbon dioxide concentration calibration measurement sensing module includes A substrate, a plurality of carbon dioxide detection membranes formed adjacent to each other on the substrate, a carbon dioxide concentration calibration module, and a carbon dioxide concentration calibration information data transmission module, wherein the plurality of carbon dioxide detection membranes have a thin film layer formed on the substrate , and a catalyst layer formed on the surface of the film layer;

The classification and identification mark of the target information data: the above-mentioned information data collected on the parameter information data of the organic vegetable growth environment and growth state changes are stored, initialized and sorted sequentially, and then the above-mentioned classified target The information data is transmitted to the multi-level cluster hierarchical network structure by one-way communication for category marking, and then multiple identification, detection and correction are performed on the marked information data of each category;

The terminal distributed monitoring process: through the central control device, the terminal distributed monitoring is performed on the target information data of the above-mentioned classification and identification marks, and the central control device includes a concentrator, a multi-point network monitoring unit, and a central network monitoring unit; wherein, the The concentrator receives the target information data of the above-mentioned classification and identification marks through a low-voltage carrier, the concentrator is connected to the multi-point network monitoring unit through a serial port, and the multi-point network monitoring unit is connected to a terminal receiving device through its communication module to collect the centralized The target information data of the device is pushed to the central network monitoring unit through the terminal sending device, and the central network monitoring unit monitors and processes it in real time.

Example 2:

A remote network real-time monitoring method for organic vegetable quality based on sensory communication, said method for remote network real-time monitoring of organic vegetable quality based on sensory communication comprises the following steps in sequence: video information data collection of organic vegetable production process, target information data collection Classification and identification marks, the above-mentioned terminal distributed monitoring and processing; it is characterized in that,

The video information data collection of the production process of organic vegetables: by evenly setting a plurality of organic vegetable quality monitoring sensor nodes in the organic vegetable base, the parameter information data of the organic vegetable growth environment and growth state changes are collected; The first step is to carry out the location layout of organic vegetable quality monitoring sensor nodes and bases, the matching of physical addresses of monitoring sensor nodes and monitoring areas, setting the system time and monitoring interval time difference of monitoring sensor nodes, and monitoring the organic vegetable growth environment parameters of sensor nodes Information selection, parameter information selection of organic vegetable growth state change monitoring sensor nodes; wherein, the location layout of the organic vegetable quality monitoring sensor nodes and base stations is inside the organic vegetable base, and the organic vegetable quality monitoring sensor nodes The sensor nodes are distributed in a multi-level star network; each of the organic vegetable quality monitoring sensor nodes is built in sequence: a sensor module that can automatically correct photosensitive detection, a distributed infrared dual-core optical fiber temperature sensor module, and a dynamic response ionized gas sensor module. Humidity sensing module, built-in carbon nanotube thin film temperature and humidity difference high-precision response detection module, carbon dioxide concentration calibration measurement sensor module; wherein, the automatically correctable photosensitive detection sensor module sequentially includes a photosensitive acquisition unit, a light detection unit, Light automatic adjustment and correction unit, photosensitive information data sending unit; the distributed infrared dual-core optical fiber temperature sensing module includes a plurality of distributed multi-segment single-mode dual-core optical fiber sensing units, long-distance optical fiber temperature detection unit, multi-point Infrared optical fiber temperature information data sending unit; the dynamic response ionization gas humidity sensing module sequentially includes a multi-electrode air pressure dynamic sensing unit, a gas humidity capacitive change detection unit, and a humidity information data sending unit; the carbon nanotube film is built-in The temperature-humidity difference high-precision response detection module includes three elliptical carbon nanotube films, a temperature-humidity difference high-precision response unit, a temperature-humidity difference high-precision response information data aggregation unit, and a temperature-humidity difference information data sending unit, wherein the temperature and humidity difference The humidity difference high-precision response unit, the temperature-humidity difference high-precision response information data aggregation unit, and the temperature-humidity difference information data transmission unit are placed on the corresponding surfaces of the three oval carbon nanotube films; the carbon dioxide concentration calibration measurement sensing module includes A substrate, a plurality of carbon dioxide detection membranes formed adjacent to each other on the substrate, a carbon dioxide concentration calibration module, and a carbon dioxide concentration calibration information data transmission module, wherein the plurality of carbon dioxide detection membranes have a thin film layer formed on the substrate , and a catalyst layer formed on the surface of the film layer;

The classification and identification mark of the target information data: the above-mentioned information data collected on the parameter information data of the organic vegetable growth environment and growth state changes are stored, initialized and sorted sequentially, and then the above-mentioned classified target The information data is transmitted to the multi-level cluster hierarchical network structure by one-way communication for category marking, and then multiple identification, detection and correction are performed on the marked information data of each category;

The terminal distributed monitoring process: through the central control device, the terminal distributed monitoring is performed on the target information data of the above-mentioned classification and identification marks, and the central control device includes a concentrator, a multi-point network monitoring unit, and a central network monitoring unit; wherein, the The concentrator receives the target information data of the above-mentioned classification and identification marks through a low-voltage carrier, the concentrator is connected to the multi-point network monitoring unit through a serial port, and the multi-point network monitoring unit is connected to a terminal receiving device through its communication module to collect the centralized The target information data of the device is then pushed to the central network monitoring unit through the terminal sending device, and the central network monitoring unit performs unified real-time monitoring and processing; wherein, the central network monitoring unit in the above-mentioned terminal distributed monitoring process performs unified real-time The monitoring process includes at least the authorization of the target information data storage management, the configuration of the parameter information data requirements of the target information data according to the growth environment and growth state of the organic vegetables, and the configuration of the exceeding standard alarm.

Example 3:

A remote network real-time monitoring system for organic vegetable quality based on sensory communication, the monitoring method of the remote network real-time monitoring system for organic vegetable quality based on sensory communication comprises the following steps in sequence: video information data collection of organic vegetable production process, The classification and identification mark of the target information data, the above-mentioned terminal distributed monitoring and processing; it is characterized in that,

The video information data collection of the production process of organic vegetables: by evenly setting a plurality of organic vegetable quality monitoring sensor nodes in the organic vegetable base, the parameter information data of the organic vegetable growth environment and growth state changes are collected; The first step is to carry out the location layout of organic vegetable quality monitoring sensor nodes and bases, the matching of physical addresses of monitoring sensor nodes and monitoring areas, setting the system time and monitoring interval time difference of monitoring sensor nodes, and monitoring the organic vegetable growth environment parameters of sensor nodes Information selection, parameter information selection of organic vegetable growth state change monitoring sensor nodes; wherein, the location layout of the organic vegetable quality monitoring sensor nodes and base stations is inside the organic vegetable base, and the organic vegetable quality monitoring sensor nodes The sensor nodes are distributed in a multi-level star network; each of the organic vegetable quality monitoring sensor nodes is built in sequence: a sensor module that can automatically correct photosensitive detection, a distributed infrared dual-core optical fiber temperature sensor module, and a dynamic response ionized gas sensor module. Humidity sensing module, built-in carbon nanotube thin film temperature and humidity difference high-precision response detection module, carbon dioxide concentration calibration measurement sensor module; wherein, the automatically correctable photosensitive detection sensor module sequentially includes a photosensitive acquisition unit, a light detection unit, Light automatic adjustment and correction unit, photosensitive information data sending unit; the distributed infrared dual-core optical fiber temperature sensing module includes a plurality of distributed multi-segment single-mode dual-core optical fiber sensing units, long-distance optical fiber temperature detection unit, multi-point Infrared optical fiber temperature information data sending unit; the dynamic response ionization gas humidity sensing module sequentially includes a multi-electrode air pressure dynamic sensing unit, a gas humidity capacitive change detection unit, and a humidity information data sending unit; the carbon nanotube film is built-in The temperature-humidity difference high-precision response detection module includes three elliptical carbon nanotube films, a temperature-humidity difference high-precision response unit, a temperature-humidity difference high-precision response information data aggregation unit, and a temperature-humidity difference information data sending unit, wherein the temperature and humidity difference The humidity difference high-precision response unit, the temperature-humidity difference high-precision response information data aggregation unit, and the temperature-humidity difference information data transmission unit are placed on the corresponding surfaces of the three oval carbon nanotube films; the carbon dioxide concentration calibration measurement sensing module includes A substrate, a plurality of carbon dioxide detection membranes formed adjacent to each other on the substrate, a carbon dioxide concentration calibration module, and a carbon dioxide concentration calibration information data transmission module, wherein the plurality of carbon dioxide detection membranes have a thin film layer formed on the substrate , and a catalyst layer formed on the surface of the film layer;

The classification and identification mark of the target information data: the above-mentioned information data collected on the parameter information data of the organic vegetable growth environment and growth state changes are stored, initialized and sorted sequentially, and then the above-mentioned classified target The information data is transmitted to the multi-level cluster hierarchical network structure by one-way communication for category marking, and then multiple identification, detection and correction are performed on the marked information data of each category;

The terminal distributed monitoring process: through the central control device, the terminal distributed monitoring is performed on the target information data of the above-mentioned classification and identification marks, and the central control device includes a concentrator, a multi-point network monitoring unit, and a central network monitoring unit; wherein, the The concentrator receives the target information data of the above-mentioned classification and identification marks through a low-voltage carrier, the concentrator is connected to the multi-point network monitoring unit through a serial port, and the multi-point network monitoring unit is connected to a terminal receiving device through its communication module to collect the centralized The target information data of the device is then pushed to the central network monitoring unit through the terminal sending device, and is uniformly monitored and processed by the central network monitoring unit in real time;

The present invention is not limited to the specific embodiments above, and those skilled in the art can make various corresponding changes and modifications according to the present invention without departing from the spirit and essence of the present invention. These corresponding changes and deformations should all fall within the scope of protection of the appended claims of the present invention.

Claims (2)

1. A method for remote network real-time monitoring of organic vegetable quality based on sensory communication, described method for remote network real-time monitoring of organic vegetable quality based on sensory communication comprises the following steps successively: the production process video information data collection of organic vegetable, target information The classification identification mark of data and terminal distributed monitoring processing are characterized in that, The video information data collection of the production process of organic vegetables: by evenly setting a plurality of organic vegetable quality monitoring sensor nodes in the organic vegetable base, the parameter information data of the organic vegetable growth environment and growth state changes are collected; The first step is to carry out the location layout of organic vegetable quality monitoring sensor nodes and bases, the matching of physical addresses of monitoring sensor nodes and monitoring areas, setting the system time and monitoring interval time difference of monitoring sensor nodes, and monitoring the organic vegetable growth environment parameters of sensor nodes Information selection, parameter information selection of organic vegetable growth state change monitoring sensor nodes; wherein, the location layout of the organic vegetable quality monitoring sensor nodes and base stations is inside the organic vegetable base, and the organic vegetable quality monitoring sensor nodes The sensor nodes are distributed in a multi-level star network; each of the organic vegetable quality monitoring sensor nodes is built in sequence: a sensor module that can automatically correct photosensitive detection, a distributed infrared dual-core optical fiber temperature sensor module, and a dynamic response ionized gas sensor module. Humidity sensing module, built-in carbon nanotube thin film temperature and humidity difference high-precision response detection module, carbon dioxide concentration calibration measurement sensor module; wherein, the automatically correctable photosensitive detection sensor module sequentially includes a photosensitive acquisition unit, a light detection unit, Light automatic adjustment and correction unit, photosensitive information data sending unit; the distributed infrared dual-core optical fiber temperature sensing module includes a plurality of distributed multi-segment single-mode dual-core optical fiber sensing units, long-distance optical fiber temperature detection unit, multi-point Infrared optical fiber temperature information data sending unit; the dynamic response ionization gas humidity sensing module sequentially includes a multi-electrode air pressure dynamic sensing unit, a gas humidity capacitive change detection unit, and a humidity information data sending unit; the carbon nanotube film is built-in The temperature-humidity difference high-precision response detection module includes three elliptical carbon nanotube films, a temperature-humidity difference high-precision response unit, a temperature-humidity difference high-precision response information data aggregation unit, and a temperature-humidity difference information data sending unit, wherein the temperature and humidity difference The humidity difference high-precision response unit, the temperature-humidity difference high-precision response information data aggregation unit, and the temperature-humidity difference information data transmission unit are placed on the corresponding surfaces of the three oval carbon nanotube films; the carbon dioxide concentration calibration measurement sensing module includes A substrate, a plurality of carbon dioxide detection membranes formed adjacent to each other on the substrate, a carbon dioxide concentration calibration module, and a carbon dioxide concentration calibration information data transmission module, wherein the plurality of carbon dioxide detection membranes have a thin film layer formed on the substrate , and a catalyst layer formed on the surface of the film layer; The classification and identification mark of the target information data: the above-mentioned information data collected on the parameter information data of the organic vegetable growth environment and growth state changes are stored, initialized and sorted sequentially, and then the above-mentioned classified target The information data is transmitted to the multi-level cluster hierarchical network structure by one-way communication for category marking, and then multiple identification, detection and correction are performed on the marked information data of each category; The terminal distributed monitoring process: through the central control device, the terminal distributed monitoring is performed on the target information data of the above-mentioned classification and identification marks, and the central control device includes a concentrator, a multi-point network monitoring unit, and a central network monitoring unit; wherein, the The concentrator receives the target information data of the above-mentioned classification and identification marks through a low-voltage carrier, the concentrator is connected to the multi-point network monitoring unit through a serial port, and the multi-point network monitoring unit is connected to a terminal receiving device through its communication module to collect the centralized The target information data of the device is pushed to the central network monitoring unit through the terminal sending device, and the central network monitoring unit monitors and processes it in real time. 2. The remote network real-time monitoring method of organic vegetable quality based on sensory communication according to claim 1, wherein, the unified real-time monitoring process of the central network monitoring unit in the above-mentioned terminal distributed monitoring process includes at least target information Data storage management authorization, target information data configuration according to parameter information data requirements of organic vegetable growth environment and growth status changes, and exceeding standard alarm configuration.