CN115759643A - Blueberry QACCP production management system based on Internet of things - Google Patents
Blueberry QACCP production management system based on Internet of things Download PDFInfo
- Publication number
- CN115759643A CN115759643A CN202211460050.9A CN202211460050A CN115759643A CN 115759643 A CN115759643 A CN 115759643A CN 202211460050 A CN202211460050 A CN 202211460050A CN 115759643 A CN115759643 A CN 115759643A
- Authority
- CN
- China
- Prior art keywords
- blueberry
- information
- production
- data
- qaccp
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a blueberry QACCP production management system based on the Internet of things; the system builds 1 blueberry safety production information database to realize dynamic monitoring of blueberry production environment and conditions of 5 monitoring points in a demonstration area; the system is provided with 1 blueberry QACCP production management platform, so that an enterprise can dynamically monitor the environment and production conditions of the whole blueberry production process, realize abnormal environment and quality alarm and automatically push expert decision suggestions; the system establishes 1 set of blueberry safety quality tracing system based on a mobile phone and a PC visual terminal, and information in a blueberry safety production information database can be automatically accessed into the quality tracing system, so that a consumer can trace the information of the blueberry production process and product quality through an intelligent terminal. The method can make decisions and trace product quality for blueberry safety quality control, and promote the standardization and informatization development of the blueberry industry.
Description
Technical Field
The invention relates to the technical field of information, in particular to a blueberry QACCP production management system based on the Internet of things.
Background
In recent years, the research, development and application of agricultural production management application systems based on the internet of things are carried out in many cases at home and abroad, and the research, development and demonstration application of vegetable QACPC production management systems are provided, but the research on fruit QACPC production management systems is less, particularly, related research reports are not found in blueberry QACPC production management systems at home, and the blueberry safety quality evaluation standard is not clear. At present, no relevant blueberry QACCP production management system is established, so the invention provides a blueberry QACCP production management system based on the Internet of things, which is used for carrying out decision and product quality tracing on blueberry safety quality control and promoting the standardization and informatization development of blueberry industry.
Disclosure of Invention
Therefore, in order to solve the above disadvantages, the present invention provides a blueberry QACCP production management system based on the internet of things.
The invention is realized in such a way, and a blueberry QACCP production management system based on the Internet of things is constructed, and is characterized in that; the system is provided with a field sensor, a blueberry QACCP production management platform system, a mobile phone and a PC visualization terminal used by blueberry planting farmers, and a blueberry safety production information database, wherein network communication is realized among the field sensor, the blueberry QACCP production management platform system, the mobile phone and the PC visualization terminal, and the blueberry safety production information database;
the system builds 1 blueberry safety production information database to realize dynamic monitoring of blueberry production environment and conditions of 5 monitoring points in a demonstration area (1000 mu); the data comprises weather indexes such as air temperature and humidity, illumination, precipitation, wind direction and wind speed and the like in the production process of production enterprises and bases, blueberry varieties and blueberry production process, production management information such as water fertilizers and pesticides, food safety information such as heavy metal and pesticide residue of blueberry planting soil and blueberry leaves and fruits and the like, data formats such as characters, diagrams and videos can be uploaded to be stored in a warehouse, weather index data can be automatically stored in the warehouse, and other data can be uploaded and accessed from a background;
the system is provided with 1 blueberry QACCP production management platform, so that an enterprise can realize dynamic monitoring on the environment and production conditions of the whole blueberry production process, can realize abnormal alarm of the environment and quality and automatically push expert decision suggestions;
the system establishes 1 set of blueberry safety quality tracing system based on the mobile phone and the PC visual terminal, and information in the blueberry safety production information database can be automatically accessed into the quality tracing system, so that a consumer can trace the blueberry production process and product quality information through the intelligent terminal.
The blueberry QACCP production management system based on the Internet of things is characterized in that the production management system comprises a data acquisition module, a data processing module and a data processing module; the blueberry QACCP production management platform system is provided with the following modules;
a data dictionary management module: used for maintaining base, variety, period dimension, time dimension, parameter dimension and parameter attribute;
planting data management module: used for maintaining the corresponding relation among all basic data;
the real-time monitoring management module: acquiring current or historical meteorological indexes such as air temperature and humidity, illumination, precipitation, wind direction and wind speed, production management information such as water, fertilizer and pesticide, food safety information such as blueberry planting soil and heavy metal and pesticide residue of blueberry leaves and fruits, and information data such as growth condition in a time and date mode;
a short message early warning management module: the method comprises the steps of firstly, regularly transmitting real-time data of environmental conditions to a specified user mobile phone, secondly, sending instant short messages for notification and information, thirdly, sending early warning information, and automatically sending early warning and expert suggestions to the specified user mobile phone when environmental parameters (meteorological element indexes and food safety indexes such as heavy metal and pesticide residues of blueberry planting soil and blueberry leaves and fruits) exceed an early warning value; the required sending time, the sending user, the triggering condition and the sending content can be set, and the mass sending function is realized;
variety record management module: obtaining various types of data of the whole growth cycle of the corresponding growing crops according to batches (system definition);
a user management module: the method provides a unit, post and user three-level management structure and provides authority management support aiming at buttons and menu levels.
The blueberry QACCP production management system based on the Internet of things is characterized in that the production management system comprises a data acquisition module, a data processing module and a data processing module; the blueberry safe production information database has the following functions;
(1) The system administrator function can realize user authority management, deletion and modification of corresponding monitoring points, management of a short message platform and all function authorities of other users through background management;
(2) Blueberry detection setting and filling functions:
1) Blueberry inspectors can firstly set the name and description of the growth cycle of the blueberries for selection when filling corresponding detection values;
2) Blueberry detection personnel set blueberry evaluation indexes through the functional module so as to realize that the system automatically classifies and judges input pesticide and soil detection values according to preset evaluation criteria;
3) Blueberry detection personnel fill blueberry pesticides in different growth cycles, test results of soil, corresponding blueberry growth cycle names and growth cycle time through the system;
4) The meteorological element detection system is in butt joint with the functional module through a data interface, transmits meteorological index data such as air temperature, humidity, illumination, precipitation, wind direction and wind speed of 5 detection points in real time, and timely stores the meteorological index data into a database;
(3) Blueberry quality timeline function: the module is a main display module of the system, and uses a time line display technology to adapt to the idea of tracking the key point information by QACCP; firstly, the system identifies the growth cycle of the blueberries through a time line; after clicking each growth cycle, a user jumps out of a corresponding dialog box and displays information such as 'temperature, humidity', 'soil parameters', 'monitoring photos', 'pesticide residue' and the like, but because the current information of the dialog box is limited, the user can enter a detailed page for inquiry after clicking the dialog box;
(4) Base real-time data: the block is required to display basic information such as Internet of things video monitoring, air temperature, air humidity, illumination, wind speed, wind direction, rainfall, planting management condition analysis, optimal growth environment statistical analysis, pest and disease statistical analysis and the like, and the interval time of data uploading can be adjusted according to user requirements;
(5) Monitoring point live summary function: the summary of the information of the monitoring points and the live information is realized, and the information comprises the name of the monitoring points, the planting name, the air temperature, the air humidity, the illumination and other data; disease information of monitoring points comprises monitoring point numbers, planting names, disease names and disease and pest morbidity; monitoring point alarm information can be searched and screened according to the name of the monitoring point and a set time period; a monitoring point historical data list which displays the name of each monitoring point, the equipment number, the air temperature, the air humidity, the illumination and the data acquisition time;
(6) The log management function: the plate requires to completely record the whole process of the farming, such as fertilization, irrigation, watering, trimming and the like, and detailed disease and insect attack time, disease category and the like, and has the advantages of quick search and automatic reading of a resume system.
The blueberry QACCP production management system based on the Internet of things is characterized in that the production management system comprises a data acquisition module, a data processing module and a data processing module; the functions of the mobile phone and the PC visual terminal in the system are as follows: the mobile phone end display module is oriented to the final consumer, scans two-dimensional code information on a product package through a mobile phone, displays related QACPC data in an html mode, and considers flow limitation, wherein the data display format is mainly characterized by characters on the first layer, and only adds pictures, analysis graphs and other information on the second layer.
The blueberry QACCP production management system based on the Internet of things is characterized in that the system comprises a database, a database server and a database, wherein the database is used for storing the database; the system also has blueberry quality safety index evaluation based on the following mode;
(1) Evaluation of the amount of pesticide residue: determining the pesticide residue in the fruit by analyzing the determination of the fruit enzyme inhibition rate; when the enzyme inhibition rate is less than 50%, the fruits are considered to have no organic phosphorus and carbamates; if the enzyme inhibition rate is more than or equal to 50 percent, organic phosphorus or carbamates exist in the fruits;
(2) Evaluation of heavy metals:
1) Single factor evaluation: by single factor evaluation, the main heavy metal pollutants and the hazard degree thereof can be determined; generally expressed as a pollution index, the pollution index is calculated as the measured heavy metal content compared to the removal dimension for the evaluation standard:
in the formula: p is i I is the pollution index of heavy metal elements; c i Is the measured value of the content of the reconnaissance genus; s I Is an environmental quality standard value;
2) Comprehensive evaluation: the comprehensive pollution index calculation method comprises the following steps:
in the formula: p is Heald Is the comprehensive pollution index of the sampling point; p is imax The maximum value of the single pollution indexes of the heavy metal pollutants at the i sampling point is obtained; the formula is as follows:
the invention has the following advantages: the invention provides a blueberry QACCP production management system based on the Internet of things, which is used for carrying out decision making and product quality tracing on blueberry safety quality control and promoting the standardization and informatization development of the blueberry industry.
1) And (3) building 1 blueberry safety production information database to realize dynamic monitoring of blueberry production environment and conditions of 5 monitoring points in a demonstration area (1000 mu). The data comprises weather indexes such as air temperature and humidity, illumination, precipitation, wind direction and wind speed in the production process of production enterprises and bases, blueberry varieties and blueberries, production management information such as water, fertilizer and pesticide, food safety information such as heavy metal and pesticide residue of blueberry planting soil and blueberry leaves and fruits, and the like, data formats such as characters, charts, videos and the like can be uploaded and stored, weather index data can be automatically stored, and other data can be uploaded and accessed from a background.
2) 1 blueberry QACCP production management platform is developed, so that an enterprise can dynamically monitor the environment and production conditions of the whole blueberry production process, realize abnormal environment and quality alarm and automatically push expert decision suggestions.
3) A set of 1 blueberry safety quality tracing system is established, and information in a blueberry safety production information database can be automatically accessed into the quality tracing system, so that a consumer can trace the information of the blueberry production process and the product quality through an intelligent terminal.
Drawings
FIG. 1 is a schematic diagram of the overall design architecture of the system;
FIG. 2 is a block diagram of a blueberry QACCP production management platform system module;
FIG. 3 is a schematic view of a user management module interface;
FIG. 4 is a data flow diagram of blueberry detection settings;
FIG. 5 is a growth timeline depiction;
FIG. 6 is a graph depicting a correlation index over a period;
FIG. 7 is a depiction of a real-time atmospheric element;
FIG. 8 is a schematic view of a live information query interface;
9-10 are schematic diagrams of log management interface operations;
fig. 11 is a data flow of the mobile phone terminal:
fig. 12 is a schematic diagram of a cell phone interface.
Detailed Description
The present invention will be described in detail with reference to fig. 1 to 12, and the technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
The invention provides a blueberry QACCP production management system based on the Internet of things by improvement, as shown in FIG. 1, the specific implementation is as follows; the system is provided with a field sensor, a blueberry QACCP production management platform system, a mobile phone and a PC visualization terminal used by blueberry planting farmers, and a blueberry safety production information database, and network communication is realized among the field sensor, the blueberry QACCP production management platform system, the mobile phone and the PC visualization terminal and the blueberry safety production information database.
1) And (3) building 1 blueberry safety production information database to realize dynamic monitoring of blueberry production environment and conditions of 5 monitoring points in a demonstration area (1000 mu). The data comprises weather indexes such as air temperature and humidity, illumination, precipitation, wind direction and wind speed and the like in the production process of production enterprises and bases, blueberry varieties and blueberries, production management information such as water fertilizers and pesticides, food safety information such as heavy metal and pesticide residue of blueberry planting soil and blueberry leaves and fruits and the like, data formats such as characters, diagrams and videos can be uploaded to be stored in a warehouse, weather index data can be automatically stored in the warehouse, and other data can be uploaded and accessed from a background.
2) 1 blueberry QACCP production management platform is developed, so that an enterprise can dynamically monitor the environment and production conditions of the whole blueberry production process, realize abnormal environment and quality alarm and automatically push expert decision suggestions.
3) A set of 1 blueberry safety quality tracing system is established, and information in a blueberry safety production information database can be automatically accessed into the quality tracing system, so that a consumer can trace the information of the blueberry production process and the product quality through an intelligent terminal.
As shown in fig. 2; the blueberry QACCP production management platform system is provided with the following modules;
the data dictionary management module: used for maintaining base, variety, period dimension, time dimension, parameter dimension and parameter attribute;
planting data management module: used for maintaining the corresponding relation between each basic data;
the real-time monitoring management module: acquiring current or historical meteorological indexes such as air temperature and humidity, illumination, precipitation, wind direction and wind speed, production management information such as water, fertilizer and pesticide, food safety information such as blueberry planting soil and heavy metal and pesticide residue of blueberry leaves and fruits, and information data such as growth condition in a time and date mode;
a short message early warning management module: the mobile phone early warning system comprises a mobile phone, an early warning device, a mobile phone and a warning device, wherein the mobile phone is used for sending environmental condition real-time data to a designated user mobile phone in a timing mode, the instant short message is used for sending notices and information, and the early warning device automatically sends early warnings and expert suggestions to the designated user mobile phone when environmental parameters (meteorological element indexes and food safety indexes such as heavy metal and pesticide residues of blueberry planting soil and blueberry leaves and fruits) exceed early warning values. The required sending time, the sending user, the triggering condition and the sending content can be set, and the mass sending function is realized.
Variety record management module: obtaining various data of the whole growth cycle of corresponding growing crops according to batches (system definition);
a user management module: providing three-level management structures of units, posts and users, and providing management support aiming at buttons and menu level rights; (as shown in fig. 3).
Meanwhile, the system has the following background management functions:
and corresponding to the user: s0 System Administrator
Description of the function: the system administrator can realize user authority management, deletion and modification of corresponding monitoring points, management of a short message platform and all functional authorities of other users through background management. The method specifically comprises the following steps:
(1) Blueberry detection setting and filling functions:
and (3) corresponding to the user: s1 safety inspection personnel
Description of the function:
1) Blueberry inspectors can firstly set the name and description of the growth cycle of the blueberries for selection when filling corresponding detection values.
2) Blueberry detection personnel set blueberry evaluation indexes through the function module so as to realize that the system automatically classifies and judges input pesticide and soil detection values according to preset evaluation standards.
3) Blueberry detection personnel fill in blueberry pesticides and soil test results in different growth cycles, corresponding blueberry growth cycle names and growth cycle time through the system.
4) The meteorological element detection system is in butt joint with the functional module through a data interface, transmits meteorological index data such as air temperature, humidity, illumination, precipitation, wind direction and wind speed of 5 detection points in real time, and timely stores the meteorological index data into a database. The data flow diagram is shown in fig. 4.
(2) Blueberry quality timeline functional description:
and (3) corresponding to the user: s4, agricultural product enterprises; s1, safety detection personnel;
description of the function:
the module is a main display module of the system, and uses a time line display technology to adapt to the idea of QACCP tracking the key point information. First, the system identifies the blueberry growth cycle through a timeline. After clicking each growth cycle, the user jumps out of the corresponding dialog box and displays information including temperature, humidity, soil parameters, monitoring pictures, pesticide residue and the like, but because the current situation information of the dialog box is limited, the user clicks the dialog box and then enters a detailed page for inquiry. A growth time axis description (fig. 5), a correlation index description (fig. 6) in a certain period, and a real-time gas pause element description (fig. 7).
(3) Base profile: the block requires default login and can be automatically displayed, and the content shows the brief introduction and specific map marking of the base.
(4) Base real-time data:
the plate requires to display basic information such as internet of things video monitoring, air temperature, air humidity, illumination, wind speed, wind direction, rainfall, planting management condition analysis, optimal growth environment statistical analysis, pest and disease damage statistical analysis and the like, and the interval time of data uploading can be adjusted according to user demands.
(5) Monitoring point information:
the method requires that planting pictures, company names, farmer names, planting varieties, alarms and real-time environment data are transversely arranged and are sequentially arranged and displayed from top to bottom according to the numbers of monitoring points.
For example:
(6) Monitoring point live:
the introduction of corresponding monitoring points and the updating of the time schedule of the seedling stage, the canopy stage and the heading stage (automatic updating according to a crop model library) are required; refreshing data display in real time according to air temperature, air humidity and illumination; the humiture is suitable for growth, alarm area, danger area dynamic diagram; environmental parameter trend graph.
(7) Picture acquisition:
video monitoring picture acquisition, stage viewing, server backup and the like are required to be realized; real-time video data transmission and other functions; the grabbing interval time can be automatically adjusted.
Plate block | Require to make a request for | |
|
Real-time picture collection | Historical data query |
Monitoring point device | Real-time picture collection | Historical data query |
(8) Monitoring point live summary:
the information of the monitoring points and the live information are gathered as the name implies, and the information comprises the data of the names of the monitoring points, the planting names, the air temperature, the air humidity, the illumination and the like; disease information of monitoring points comprises monitoring point numbers, planting names, disease names and disease and pest morbidity; monitoring point alarm information can be searched and screened according to the name of the monitoring point and a set time period; and the historical data list of the monitoring points displays the names of the monitoring points, equipment numbers, air temperature, air humidity, illumination and data acquisition time. For example, fig. 8.
(9) Blueberry information: the plate requires displaying relevant information of blueberries, the list is displayed from top to bottom according to the latest information, each page does not exceed 20 pieces, and editing and deleting can be added; the system has the functions of playing, uploading, downloading and the like of charts and videos.
(10) A crop model library:
the plate is required to be capable of adding basic information, growth period, plant diseases and insect pests and other information of crops, and early warning information, growth period and other information of the crops depend on a crop model library.
(11) A resume system:
the resume system can automatically access information such as base information, crop information, growth environment data, farming logs and the like, automatically generate a unique two-dimensional code and automatically generate a webpage. The resume system has an entrance on the production management platform and can also be used as an independent system.
(12) And (3) system management:
the system management level is divided into 5 blocks which are respectively user management, equipment management, greenhouse management, planting management and short message sending and are the core of the comprehensive information management platform.
(13) Log management:
the plate requires to completely record the whole process of the farming, such as fertilization, irrigation, watering, trimming and the like, as well as detailed disease and insect attack time, disease category and the like, and has the advantages of quick search and automatic reading of a resume system. As shown in fig. 9-10.
The mobile phone in the system has the following functions:
and corresponding to the user: s5 consumers
Description of the function: the mobile phone end display module is oriented to a final consumer, scans two-dimensional code information on a product package through a mobile phone, displays related QACCP data in an html mode, and considers flow limitation, the data display format is mainly characterized by characters on a first layer, and information such as pictures and analysis graphs is added on a second layer. The whole process is intuitive and quick. Data flow diagram 11 of the mobile phone terminal; FIG. 12 is a schematic view of a cell phone interface.
The system also has the following indexes about blueberry quality safety evaluation;
pesticide residue amount:
the pesticide residue in the fruit is determined by analyzing the determination of the enzyme inhibition rate of the fruit. When the enzyme inhibition rate is less than 50%, the fruits are considered to have no organic phosphorus and carbamates; if the enzyme inhibition rate is more than or equal to 50 percent, organic phosphorus or carbamates exist in the fruits.
The comprehensive evaluation criteria are shown in table 1:
TABLE 1 evaluation of pesticide residue in fruits
Comprehensive pollution grade | Enzyme inhibition rate | Evaluation of |
1 | <50% | |
2 | ≥50% | Out of limits |
Heavy metals:
single factor evaluation: through single factor evaluation, the main heavy metal pollutants and the degree of harm thereof can be determined. Generally expressed as a pollution index, the pollution index is calculated as the measured heavy metal content compared to the removal dimension for the evaluation standard:
in the formula: p is i I is the pollution index of heavy metal elements; c i Is the measured value of the content of the reconnaissance genus; s I The environmental quality standard value (see table 6) is shown (note: the fruit standard value is shown in table 5). The single factor index contamination classification criteria are shown in table 2.
TABLE 2 soil single pollution degree grading Standard
P i | P i ≤1 | 1<P i ≤2 | 2<P i ≤3 | P i >3 |
Level of contamination | Non-pollution | Light pollution | Middle pollution | Heavy pollution |
Evaluation of | Is excellent in | Good effect | Out of limits | Severe over standard |
Comprehensive evaluation: the comprehensive pollution index calculation method comprises the following steps:
in the formula: p Heald Is the comprehensive pollution index of the sampling point; p imax The maximum value of the single pollution indexes of the heavy metal pollutants at the i sampling point. The formula is as follows:
see table 3 for the establishment of the weights w.
TABLE 3 Classification of importance and weight values of heavy Metal pollutants to the Environment
Hg | Pb | Cd | As | Cr | Ni | |
Categories | I | I | I | I | II | II |
Weight (w value) | 3 | 3 | 3 | 3 | 2 | 2 |
Finally, the composite pollution index grading criteria are shown in table 4.
TABLE 4 comprehensive pollution level grading Standard
TABLE 5 national Standard for heavy metals in fresh fruits (mg/kg)
Total mercury THg | 0.01 |
Arsenic As | 0.5 |
Lead Pb | 0.1 |
Cadmium Cd | 0.05 |
Chromium Cr | 0.5 |
Selenium Se | 0.05 |
Ni | - |
Note: "-" indicates that no provisions are made in the national standard
TABLE 6 national standard of heavy metals in orchard soil (mg/kg)
Note: "-" indicates that no provisions are made in the national standard.
The following table is the user requirements
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (5)
1. A blueberry QACCP production management system based on the Internet of things is characterized in that; the system is provided with a field sensor, a blueberry QACCP production management platform system, a mobile phone and a PC visualization terminal used by blueberry planting farmers, and a blueberry safety production information database, wherein network communication is realized among the field sensor, the blueberry QACCP production management platform system, the mobile phone and the PC visualization terminal;
the system builds 1 blueberry safety production information database to realize dynamic monitoring of blueberry production environment and conditions of 5 monitoring points in a demonstration area; the data comprises weather indexes such as air temperature and humidity, illumination, precipitation, wind direction and wind speed and the like in the production process of production enterprises and bases, blueberry varieties and blueberry production process, production management information such as water fertilizers and pesticides, food safety information such as heavy metal and pesticide residue of blueberry planting soil and blueberry leaves and fruits and the like, data formats such as characters, diagrams and videos can be uploaded to be stored in a warehouse, weather index data can be automatically stored in the warehouse, and other data can be uploaded and accessed from a background;
the system is provided with 1 blueberry QACCP production management platform, so that an enterprise can dynamically monitor the environment and production conditions of the whole blueberry production process, realize abnormal environment and quality alarm and automatically push expert decision suggestions;
the system establishes 1 set of blueberry safety quality tracing system based on a mobile phone and a PC visual terminal, and information in a blueberry safety production information database can be automatically accessed into the quality tracing system, so that a consumer can trace the information of the blueberry production process and product quality through an intelligent terminal.
2. The Internet of things-based blueberry QACCP production management system as claimed in claim 1, wherein; the blueberry QACCP production management platform system is provided with the following modules;
a data dictionary management module: used for maintaining base, variety, period dimension, time dimension, parameter dimension and parameter attribute;
planting data management module: used for maintaining the corresponding relation between each basic data;
the real-time monitoring management module: acquiring current or historical meteorological indexes such as air temperature and humidity, illumination, precipitation, wind direction and wind speed, production management information such as water, fertilizer and pesticide, food safety information such as blueberry planting soil and heavy metal and pesticide residue of blueberry leaves and fruits, and information data such as growth condition in a time and date mode;
the short message early warning management module: the method comprises the steps of firstly, regularly transmitting real-time data of environmental conditions to a specified user mobile phone, secondly, sending instant short messages for notification and information, thirdly, sending early warning information, and automatically sending early warning and expert advice to the specified user mobile phone when environmental parameters (meteorological element indexes and food safety indexes such as heavy metal and pesticide residue of blueberry planting soil and blueberry leaves and fruits) exceed an early warning value; the required sending time, the sending user, the triggering condition and the sending content can be set, and the mass sending function is realized;
variety record management module: obtaining various data of the whole growth cycle of corresponding growing crops according to batches (system definition);
a user management module: and the management structure of unit, position and user is provided, and the management support of authority aiming at button and menu levels is provided.
3. The Internet of things-based blueberry QACCP production management system as claimed in claim 1, wherein; the blueberry safe production information database has the following functions;
(1) The system administrator function can realize user authority management, deletion and modification of corresponding monitoring points, management of a short message platform and all function authorities of other users through background management;
(2) Blueberry detection setting and filling functions:
1) Blueberry inspectors can firstly set the name and description of the growth cycle of the blueberries for selection when filling corresponding detection values;
2) Blueberry detection personnel set blueberry evaluation indexes through the functional module so as to realize that the system automatically classifies and judges input pesticide and soil detection values according to preset evaluation criteria;
3) Blueberry detection personnel fill blueberry pesticides in different growth cycles, test results of soil, corresponding blueberry growth cycle names and growth cycle time through the system;
4) The meteorological element detection system is in butt joint with the functional module through a data interface, transmits meteorological index data such as air temperature, humidity, illumination, precipitation, wind direction and wind speed of 5 detection points in real time, and timely stores the meteorological index data into a database;
(3) Blueberry quality timeline function: the module is a main display module of the system, and uses a time line display technology to adapt to the idea of tracking the key point information by QACCP; firstly, the system identifies the growth cycle of the blueberries through a time line; after clicking each growth cycle, a user jumps out of a corresponding dialog box and displays information including temperature, humidity, soil parameters, monitoring photos, pesticide residue and the like, but because the current situation information of the dialog box is limited, the user clicks the dialog box and then enters a detailed page for inquiry;
(4) Base real-time data: the plate is required to display basic information such as Internet of things video monitoring, air temperature, air humidity, illumination, wind speed, wind direction, rainfall, planting management condition analysis, optimal growth environment statistical analysis, pest and disease damage statistical analysis and the like, and the interval time of data uploading can be adjusted according to user requirements;
(5) Monitoring point live summary function: the information of the monitoring points and the live information are summarized, and the information comprises the name of the monitoring points, the planting name, the air temperature, the air humidity, the illumination and other data; monitoring point disease information, including monitoring point number, planting name, disease and pest incidence; monitoring point alarm information can be searched and screened according to the name of the monitoring point and a set time period; a monitoring point historical data list which displays the name of each monitoring point, the equipment number, the air temperature, the air humidity, the illumination and the data acquisition time;
(6) The log management function: the plate requires to completely record the whole process of the farming, such as fertilization, irrigation, watering, trimming and the like, as well as detailed disease and insect attack time, disease category and the like, and has the advantages of quick search and automatic reading of a resume system.
4. The Internet of things-based blueberry QACCP production management system as claimed in claim 1, wherein; the functions of the mobile phone and the PC visual terminal in the system are as follows: the mobile phone end display module is oriented to a final consumer, scans two-dimensional code information on a product package through a mobile phone, displays related QACCP data in an html mode, and considers flow limitation, the data display format is mainly characterized by characters on a first layer, and information such as pictures and analysis graphs is added on a second layer.
5. The internet-of-things-based blueberry QACCP production management system as claimed in claim 1, wherein; the system also has blueberry quality safety index evaluation based on the following mode;
(1) Evaluation of the amount of pesticide residue: determining the pesticide residue in the fruit by analyzing the determination of the fruit enzyme inhibition rate; when the enzyme inhibition rate is less than 50%, the fruits are considered to have no organic phosphorus and carbamates; if the enzyme inhibition rate is more than or equal to 50 percent, organic phosphorus or carbamates exist in the fruits;
(2) Evaluation of heavy metals:
1) Single factor evaluation: by single factor evaluation, the main heavy metal pollutants and the hazard degree thereof can be determined; generally expressed as a pollution index, the pollution index is calculated as the measured heavy metal content compared to the removal dimension for the evaluation standard:
in the formula: p is i The pollution index of the heavy metal element is i; c i Is the measured value of the content of the reconnaissance genus; s I Is an environmental quality standard value;
2) And (3) comprehensive evaluation: the comprehensive pollution index calculation method comprises the following steps:
in the formula: p Heald Is the comprehensive pollution index of the sampling point; p imax The maximum value of the single pollution indexes of the heavy metal pollutants at the i sampling point is obtained; the formula is as follows:
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211460050.9A CN115759643A (en) | 2022-11-17 | 2022-11-17 | Blueberry QACCP production management system based on Internet of things |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211460050.9A CN115759643A (en) | 2022-11-17 | 2022-11-17 | Blueberry QACCP production management system based on Internet of things |
Publications (1)
Publication Number | Publication Date |
---|---|
CN115759643A true CN115759643A (en) | 2023-03-07 |
Family
ID=85334252
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202211460050.9A Pending CN115759643A (en) | 2022-11-17 | 2022-11-17 | Blueberry QACCP production management system based on Internet of things |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN115759643A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117215351A (en) * | 2023-09-16 | 2023-12-12 | 张家港泽诺科技有限公司 | Intelligent monitoring and early warning system for edible fungus planting environment |
-
2022
- 2022-11-17 CN CN202211460050.9A patent/CN115759643A/en active Pending
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117215351A (en) * | 2023-09-16 | 2023-12-12 | 张家港泽诺科技有限公司 | Intelligent monitoring and early warning system for edible fungus planting environment |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109102422B (en) | Big data agricultural management system | |
CN113409023A (en) | Wisdom gardens integrated service management platform | |
US20100109946A1 (en) | Mobile based advisory system and a method thereof | |
CN104991459A (en) | Organic vegetable greenhouse monitoring system and method | |
CN111767802A (en) | Method and device for detecting abnormal state of object | |
Coops et al. | Utilising Airborne Multispectral Videography to Predict Habitat Complexity in Eucalypt Forests for Wildlife Management* Further information about this research can be found on the World Wide Web at http://www. ffp. csiro. au/nfm/mdq | |
CN113867243A (en) | Digital and intelligent landscaping and maintenance integrated management system | |
CN113273449A (en) | Digital twin body construction method for precise monitoring of sunlight greenhouse | |
CN115759643A (en) | Blueberry QACCP production management system based on Internet of things | |
KR20200106764A (en) | System for predicting diseases and pest signs | |
CN112561367A (en) | Intelligent planting decision control system | |
CN108776874A (en) | A kind of modern agriculture regulatory analysis system | |
CN111582665A (en) | Wisdom agricultural cloud platform | |
CN114460080A (en) | Rice disease and pest intelligent monitoring system | |
CN116645232A (en) | Intelligent management system for agricultural cultivation | |
CN110057764B (en) | Pesticide application safety management warning device and method | |
CN114693312A (en) | Intelligent agricultural full-flow tracing system | |
CN110197381A (en) | Traceable information processing method based on agriculture Internet of Things integrated service management system | |
CN103744369A (en) | Method for realizing intelligent management of crop monitoring platform | |
CN111861775B (en) | Seedling asset informatization management method and system based on GIS | |
CN112907061A (en) | Potato whole industry chain management system | |
CN112581302A (en) | Agricultural thing allies oneself with management monitoring system | |
CN116543347A (en) | Intelligent insect condition on-line monitoring system, method, device and medium | |
KR20230054350A (en) | A Server Platform for Managing a Smart Farm | |
CN114578881B (en) | Intelligent maintenance management system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |