Agricultural product quality safety emergency public opinion system

Abstract

The invention relates to the technical field of public opinion analysis, and relates to an agricultural product quality safety emergency public opinion system. Comprising a public opinion reporting module, a public opinion monitoring and collecting module, a sensor data sampling module, a public opinion information data processing module, an agricultural product core information base, an agricultural product public opinion association base, a public opinion information data analysis and early warning generation module and a public opinion guiding module. A value and trend judgment process is given qualitatively and quantitatively according to daily monitored public opinion information, targeted study and judgment work is carried out aiming at a certain phenomenon or problem occurring in agricultural product quality safety network public opinions, and therefore the development trend of the network public opinions is judged in time so as to further guide and control.

Description

Technical Field

[0001] The invention relates to the technical field of applying computers to public opinion analysis, and relates to a public opinion system for agricultural product quality and safety emergencies. Background Art

[0002] Online public opinion has gradually influenced the decision-making of relevant departments. Online public opinion information must be effectively collected and organized for further guidance and control. Public opinion technology integrates core functions such as public opinion monitoring, public opinion collection, public opinion intelligent analysis, and public opinion processing, which can help users fully grasp the dynamics of public opinion and correctly guide public opinion. Agricultural product quality and safety emergencies refer to health damage or casualties caused by eating agricultural products. The occurrence of emergencies often brings harm to the lives and health of the general public. Therefore, when facing agricultural product quality and safety emergencies, it is necessary to quickly judge the authenticity and impact of the incident and do a good job in correct public opinion guidance.

[0003] The existing public opinion systems for agricultural product quality and safety emergencies are relatively few on the one hand, and are not perfect on the other. For example, the invention patent with application number CN201911220854.X discloses a method for identifying false public opinion on food safety based on a neural network. Although it has established a corresponding knowledge base and rumor-refuting library, and constructed a convolutional neural network model as a news public opinion classification model, it lacks comprehensive acquisition of public opinion information, environmental monitoring data collection of agricultural products, and diversified data analysis, which makes it difficult for the public to be convinced and there is a problem of low efficiency in public opinion control. The invention patent with application number CN202110559817.2 discloses a network public opinion monitoring method and system, but it does not involve specific fields, lacks the construction of basic association rules and more reliable data acquisition and analysis, and is not suitable for agricultural products, an industry involving national economy and people's livelihood. When a public opinion incident occurs, it is impossible to distinguish the authenticity in a short time and correctly guide public opinion according to the actual situation of agricultural products. Summary of the invention

[0004] The purpose of the present invention is to provide a public opinion system for agricultural product quality and safety emergencies, which provides a process of qualitatively and quantitatively giving a value and trend judgment based on the public opinion information monitored daily, and conducts targeted research and judgment on a certain phenomenon or problem that appears in the online public opinion on agricultural product quality and safety, so as to make a timely judgment on the development trend of the online public opinion for further guidance and control.

[0005] In order to achieve the above object, the present invention provides the following technical solutions:

[0006] A public opinion system for agricultural product quality and safety emergencies, comprising a public opinion reporting module, a public opinion monitoring and collection module, a sensor data sampling module, a public opinion information data processing module, an agricultural product core information database, an agricultural product public opinion association database, a public opinion information data analysis and early warning generation module, and a public opinion guidance module;

[0007] The public opinion reporting module provides a public opinion platform for users to upload public opinion information on agricultural product quality and safety on their own;

[0008] The public opinion monitoring and collection module is used to monitor the content of the agricultural product quality and safety emergency from the public opinion platform and other channels, and collect information on the monitored content to obtain public opinion information data;

[0009] The sensor data sampling module is used to extract environmental data from the planting, production, processing, transportation and storage of agricultural products, and collect data on heavy metal ion content, pesticide residues and harmful microorganisms in the planting, production, processing, transportation and storage environment of agricultural products to obtain public opinion agricultural product quality and safety data;

[0010] The public opinion information data processing module is used to perform natural language processing, digitization and standardization on the public opinion agricultural product quality and safety data and the public opinion information data to obtain agricultural product quality and safety digital information and public opinion digital information;

[0011] The core information database of agricultural products is a measurement index database established by digitally identifying the quality of historical agricultural products in accordance with production technology standards and general hygiene standards required for production. The measurement index database records the feature database and rule database of quality and safety data collected from ordinary agricultural products, pollution-free agricultural products, green agricultural products and organic agricultural products in the planting, production, processing, transportation and storage environments, including but not limited to heavy metal ion content, pesticide residues, and harmful microbial indicators;

[0012] The agricultural product public opinion association database is a corresponding event information identification database, feature database and rule database established based on public opinion events and early warning prompts;

[0013] The public opinion information data analysis and early warning generation module is used to obtain the public opinion early warning prompt mark and prompt content after in-depth analysis of the agricultural product quality and safety digital information and public opinion digital information based on the agricultural product core information database and the agricultural product public opinion association database;

[0014] The public opinion guidance module is used to generate guidance measures according to the public opinion early warning prompt content, then subject the generated guidance measures to manual feasibility analysis and optimization, and finally publish the optimal guidance measures to achieve public opinion guidance.

[0015] Furthermore, when the public opinion monitoring and collection module monitors and collects public opinion information, it includes but is not limited to monitoring and collecting public opinion information from the public opinion reporting module, Weibo, WeChat, news, websites, forums, blogs, forums, electronic newspapers, clients, and video websites.

[0016] Furthermore, the sensor data sampling module is used to collect quality and safety data samples from the planting environment of the batch of agricultural products and the production, processing, transportation and storage environment of the agricultural products, including but not limited to sampling of organophosphates, carbamates, pyrethroids, lead, mercury, cadmium, chromium, arsenic, Escherichia coli, mold and bacteria according to time periods to obtain public opinion agricultural product quality and safety data.

[0017] Furthermore, the core information database of agricultural products is a measurement index database established by digitally identifying the quality of historical agricultural products in accordance with production technology standards and general hygiene standards required for production. The measurement index database records the feature database and rule database of quality and safety data collected from ordinary agricultural products, pollution-free agricultural products, green agricultural products and organic agricultural products in the planting and production, processing, transportation and storage environments, including but not limited to heavy metal ion content, pesticide residues, and harmful microbial indicators;.

[0018] Furthermore, the feature library and rule library in the agricultural product public opinion association library include an automatic update unit, which is used to automatically obtain new public opinion event information identifiers, public opinion warning identifiers and prompt content occurring in the agricultural product quality and safety emergency public opinion system, and to update the event information identifier library, feature library and rule library in real time.

[0019] Furthermore, the public opinion information data analysis and warning generation module includes but is not limited to using natural language processing and machine learning intelligent processing technology to process the public opinion analysis content, and generating warning prompt signs and prompt content based on the processing results.

[0020] Compared with the prior art, the present invention has the following beneficial effects:

[0021] The present invention provides a public opinion system for agricultural product quality and safety emergencies. The public opinion reporting module, the public opinion monitoring and collection module, and the sensor data sampling module are arranged for coordinated use to improve the comprehensiveness of public opinion information collection. The public opinion is comprehensively analyzed through the public opinion information data analysis and early warning generation module by utilizing sufficient public opinion information in combination with an agricultural product core information database and an agricultural product public opinion association database. This is more conducive to judging the authenticity of the agricultural product quality and safety public opinion, obtaining more accurate public opinion judgment results, being able to further reasonably guide public opinion, and avoiding the vicious development of emergencies. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1It is a schematic diagram of the system framework structure of the present invention. DETAILED DESCRIPTION

[0023] In order to enable those skilled in the art to better understand the solution of the present invention, the present invention is further described in detail below in conjunction with specific implementation methods. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0024] An embodiment is given below:

[0025] A public opinion system for agricultural product quality and safety emergencies includes a public opinion reporting module, a public opinion monitoring and collection module, a sensor data sampling module, a public opinion information data processing module, an agricultural product core information database, an agricultural product public opinion association database, a public opinion information data analysis and early warning generation module, and a public opinion guidance module.

[0026] The public opinion reporting module is used to provide a public opinion platform for users to upload public opinion information on agricultural product quality and safety on their own;

[0027] The public opinion monitoring and collection module is used to monitor the content of the agricultural product quality and safety emergency from the public opinion platform and other channels, and collect relevant information on the monitored content to obtain public opinion information data; when the public opinion monitoring and collection module monitors and collects public opinion information, it includes but is not limited to monitoring and collecting public opinion information from the public opinion reporting module, Weibo, WeChat, news, websites, forums, blogs, BBS, electronic newspapers, clients, and video websites.

[0028] The sensor data sampling module is used to extract environmental data from the environmental conditions encountered during the planting, production, processing, transportation, and storage of this batch of agricultural products. It collects data on heavy metal ion content (lead (Pb), mercury (Hg), etc.), pesticide residues (organophosphates, carbamates, etc.), and harmful microorganisms (Escherichia coli, mold, etc.) in the planting environment and production, processing, transportation, and storage environment of agricultural products to obtain public opinion agricultural product quality and safety data; the sampling method is to sample according to time periods.

[0029] The public opinion information data processing module is used to perform natural language processing, digitization and standardization on the public opinion agricultural product quality and safety data and public opinion information data to obtain agricultural product quality and safety digital information and public opinion digital information respectively;

[0030] The core information database of agricultural products is a measurement index database established by digitally identifying the quality of historical agricultural products according to production technology standards and general hygiene standards required for production. The measurement index database records the feature database and rule database of quality and safety data collected from agricultural products such as ordinary agricultural products, pollution-free agricultural products, green agricultural products and organic agricultural products in the planting environment and production, processing, transportation, storage and other environments, including digital indicators such as heavy metal ion content, pesticide residues, and harmful microorganisms;

[0031] The agricultural product public opinion association database processes public opinion events and warning prompts based on the public opinion events and warning prompts using natural language processing, machine learning and other intelligent processing technologies to establish corresponding event information identification libraries, feature libraries and rule libraries; the agricultural product public opinion association database includes an automatic update unit, which is used to automatically obtain new public opinion events and public opinion warning signs and prompts that occur in the agricultural product quality and safety emergency public opinion system. After using natural language, machine learning and other technologies to process new public opinion events and public opinion warning prompts to obtain corresponding event information identifications, features and rules, the event information identification library, feature library and rule library in the agricultural product public opinion association database are updated in real time.

[0032] The public opinion information data analysis and early warning generation module obtains the public opinion early warning prompt logo and content after in-depth analysis of agricultural product quality and safety digital information and public opinion digital information based on the agricultural product core information database and the agricultural product public opinion association database; the public opinion information data analysis and early warning generation module includes the use of natural language processing, machine learning and other intelligent processing technologies to process agricultural product quality and safety digital information and public opinion digital information to obtain early warning prompt logo and prompt content.

[0033] The public opinion guidance module is used to generate relevant guidance measures based on the early warning prompt content, and then subject the generated relevant guidance measures to manual feasibility analysis and optimization, and finally release the optimal relevant guidance measures to achieve public opinion guidance.

[0034] The operation process of this system:

[0035] Report public opinion: Users can upload public opinion information on agricultural product quality and safety in the public opinion reporting module;

[0036] Collect public opinion information: The system monitors the content of the agricultural product quality and safety emergency by extracting keywords from the public opinion platform and other channels reported by users, and collects relevant information for the monitored content, including but not limited to obtaining public opinion information data from the public opinion reporting module, Weibo, WeChat, news, websites, forums, blogs, forums, electronic newspapers, clients, and video websites;

[0037] Collecting samples of agricultural product environmental data: Using sensors to extract environmental data from the process environments of planting, production, processing, transportation, and storage of agricultural products, and sampling data on organophosphates, carbamates, pyrethroids, lead (Pb), mercury (Hg), cadmium (Cd), chromium (Cr), arsenic (As), Escherichia coli, and mold in agricultural products according to time periods to obtain public opinion data on agricultural product quality and safety including indicators such as heavy metal ion content, pesticide residues, and harmful microorganisms.

[0038] Data digitization and standardization: Perform natural language processing on public opinion information data, and then clean, classify, and label it together with public opinion agricultural product quality and safety data to obtain digitized and standardized public opinion digital information and agricultural product quality and safety digital information;

[0039] Public opinion analysis and early warning:

[0040] First, the digital information on agricultural product quality and safety is analyzed in the core information database of agricultural products using methods such as rule matching, pest and disease identification training, and machine learning. That is, the pesticide residues, heavy metal content, and internal pest and disease traces of agricultural products are quickly and accurately detected and analyzed to predict the freshness and safety of agricultural products. The obtained agricultural product quality data is digitally labeled according to the production technology standards and the general hygiene standards required for production to obtain the digital identification of agricultural product quality results.

[0041] The digital identification of agricultural product quality results and the digital information of public opinion are then combined into digital features. Natural language processing and machine learning analysis are performed by combining the event information identification library, feature library and rule library in the agricultural product public opinion association library to obtain the early warning prompt identification and content. After manual decision-making, reasonable guidance of public opinion is carried out based on the early warning prompt content.

[0042] Extract the public opinion event information identifiers, public opinion warning identifiers and prompt contents of the newly analyzed public opinion events, use natural language, machine learning and other technologies to process the extracted new public opinion event information identifiers, public opinion warning identifiers and prompt contents to obtain the corresponding features and rules, and then update the event information identifier library, feature library and rule library in the agricultural products public opinion association library in real time.

[0043] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A public opinion system for agricultural product quality and safety emergencies, characterized by: It includes public opinion reporting module, public opinion monitoring and collection module, sensor data sampling module, public opinion information data processing module, agricultural product core information database, agricultural product public opinion association database, public opinion information data analysis and early warning generation module, and public opinion guidance module; The public opinion reporting module provides a public opinion platform for users to upload public opinion information on agricultural product quality and safety on their own; The public opinion monitoring and collection module is used to monitor the content of the agricultural product quality and safety emergency from the public opinion platform and other channels, and collect information on the monitored content to obtain public opinion information data; The sensor data sampling module is used to extract environmental data from the planting, production, processing, transportation and storage of agricultural products, and collect data on heavy metal ion content, pesticide residues and harmful microorganisms in the planting, production, processing, transportation and storage environment of agricultural products to obtain public opinion agricultural product quality and safety data; The public opinion information data processing module is used to perform natural language processing, digitization and standardization on the public opinion agricultural product quality and safety data and the public opinion information data to obtain agricultural product quality and safety digital information and public opinion digital information; The core information database of agricultural products is a measurement index database established by digitally identifying the quality of historical agricultural products in accordance with production technology standards and general hygiene standards required for production. The measurement index database records the feature database and rule database of quality and safety data collected from ordinary agricultural products, pollution-free agricultural products, green agricultural products and organic agricultural products in the planting, production, processing, transportation and storage environments, including but not limited to heavy metal ion content, pesticide residues, and harmful microbial indicators; The agricultural product public opinion association database is a corresponding event information identification database, feature database and rule database established based on public opinion events and early warning prompts; The public opinion information data analysis and early warning generation module is used to obtain the public opinion early warning prompt mark and prompt content after in-depth analysis of the agricultural product quality and safety digital information and public opinion digital information based on the agricultural product core information database and the agricultural product public opinion association database; The public opinion guidance module is used to generate guidance measures according to the content of the public opinion early warning prompt, and then subject the generated guidance measures to manual feasibility analysis and optimization, and finally publish the optimal guidance measures to achieve public opinion guidance.

2. The agricultural product quality and safety emergency public opinion system according to claim 1 is characterized by: When the public opinion monitoring and collection module monitors and collects public opinion information, it includes but is not limited to monitoring and collecting public opinion information from the public opinion reporting module, Weibo, WeChat, news, websites, forums, blogs, forums, electronic newspapers, clients, and video websites.

3. The agricultural product quality and safety emergency public opinion system according to claim 2 is characterized by: The sensor data sampling module is used to collect quality and safety data samples from the planting environment of the batch of agricultural products and the production, processing, transportation and storage environment of the agricultural products, including but not limited to sampling of organophosphates, carbamates, pyrethroids, lead, mercury, cadmium, chromium, arsenic, Escherichia coli, mold and bacteria according to time periods to obtain public opinion agricultural product quality and safety data.

4. The agricultural product quality and safety emergency public opinion system according to claim 3 is characterized by: The core information database of agricultural products is a feature database and rule database established based on big data of agricultural products, which is digitally identified in terms of quality and safety in accordance with production technology standards and general hygiene standards required for production. It provides a predictive reference for judging the quality of agricultural products. The data of this feature database and rule database collects a large amount of big data on heavy metal ion content, pesticide residues, and harmful microorganisms in agricultural products under the environmental conditions of planting, production, processing, transportation, and storage.

5. The agricultural product quality and safety emergency public opinion system according to claim 4 is characterized by: The feature library and rule library in the agricultural product public opinion association library include an automatic update unit, which is used to automatically obtain new public opinion event information identifiers, public opinion warning identifiers and prompt content occurring in the agricultural product quality and safety emergency public opinion system, and to update the event information identifier library, feature library and rule library in real time.

6. The agricultural product quality and safety emergency public opinion system according to claim 5 is characterized by: The public opinion information data analysis and warning generation module includes but is not limited to using natural language processing and machine learning intelligent processing technology to process the public opinion analysis content, and generating warning prompt signs and prompt content based on the processing results.

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