CN109544179B - Operation supporting system based on important product traceability data service - Google Patents
Operation supporting system based on important product traceability data service Download PDFInfo
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Abstract
The invention discloses an operation support system based on important product traceability data service, which comprises an information push engine, an electronic resume service engine, a sensing data service engine, a location-based service engine, a knowledge base interaction service engine, a decision support service engine, a data mining service engine, a main data sharing service engine, a checking detection data statistics engine, a recall management service engine and a central processing unit, wherein the information push engine, the electronic resume service engine, the sensing data service engine, the location-based service engine, the knowledge base interaction service engine, the decision support service engine, the data mining service engine, the main data sharing service engine, the checking detection data statistics engine and the recall management service engine are all electrically connected with the central processing unit. The purpose of real-time tracing of the product is achieved.
Description
Technical Field
The invention relates to the field of information management, in particular to an operation support system based on important product traceability data service.
Background
At present, along with the continuous improvement of the requirements of people on the quality of life, the quality of products is more and more important, but a plurality of links exist in the production and sales of the products, each link can possibly cause the quality reduction of the products, and the tracing of the products is difficult because of more links.
Disclosure of Invention
The invention aims to solve the problems and provides an operation support system based on important product traceability data service so as to realize the advantage of real-time traceability of products.
In order to achieve the above purpose, the technical scheme of the invention provides an operation support system based on important product traceability data service, which comprises an information push engine, an electronic resume service engine, a sensing data service engine, a location-based service engine, a knowledge base interaction service engine, a decision support service engine, a data mining service engine, a main data sharing service engine, a checking detection data statistics engine, a recall management service engine and a central processing unit, wherein the information push engine, the electronic resume service engine, the sensing data service engine, the location-based service engine, the knowledge base interaction service engine, the decision support service engine, the data mining service engine, the main data sharing service engine, the checking detection data statistics engine and the recall management service engine are all electrically connected with the central processing unit.
Preferably, the information pushing engine comprises an email sending module, a mobile phone short message sending module, a predefined sending rule module, an information pushing service module and an information pushing log inquiring module;
the email sending module: for sending an email;
the mobile phone short message sending module is used for: the method is used for sending the mobile phone short message;
the predefined transmission rule module: for predefining a statistics field and a threshold value, and predefining a transmission user, a transmission form or a transmission frequency;
the information push service module: the information pushing module is used for pushing information according to the predefined sending rules of the predefined sending rule module;
the information push log query module is used for: and the operation log is used for checking information pushing.
Preferably, the electronic resume service engine comprises a trusted service signature module and a trusted service verification module;
the trusted service signature module: for signing trusted services for enterprise event data;
the trusted service verification module: for service verification of the authenticity of the signature data.
Preferably, the sensing data service engine comprises a sensing data preprocessing module, a sensing data statistics module and a preprocessing log query module;
the sensing data preprocessing module is used for: the method comprises the steps of filtering abnormal sensing data and storing the filtered sensing data;
the sensing data statistics module is used for: the method comprises the steps of collecting and counting sensing data according to selected articles and time periods;
the preprocessing log query module: for viewing a log of sensory data preprocessing.
Preferably, the location-based service engine comprises a geographic location preprocessing module, a distance calculation module and a physical address conversion module;
the geographic position preprocessing module is used for: the method is used for automatically completing the geographic position of the enterprise according to the information such as the enterprise address and the like;
the distance calculation module is used for: the method comprises the steps of calculating a linear distance between two geographic positions;
the physical address translation module: the method is used for converting the enterprise address into longitude and latitude.
Preferably, the decision support service engine comprises a sensory data diagnosis module:
the sensing data diagnosis module: for determining whether the incoming actual sensed data is at risk.
Preferably, the data mining service engine comprises a food safety credit scoring module and a food safety data prediction module:
the food safety credit scoring module: for analyzing a security credit score of the business food;
the food safety data prediction module: the method is used for completing various processes of food safety data mining and analyzing and predicting monitoring time sequence data.
Preferably, the inspection detection data statistics engine comprises an inspection detection data preprocessing module, a sampling inspection qualification rate statistics module and a sampling inspection qualification rate statistics module;
the inspection detection data preprocessing module is used for: the sampling detection data processing module is used for carrying out preprocessing statistics on sampling detection data;
the selective examination qualification rate is counted according to classification by a module: the method is used for counting the qualification rate of the spot check according to the food classification;
the sampling inspection qualification rate statistics module comprises: the method is used for counting the spot check qualification rate of the food.
The technical scheme of the invention has the following beneficial effects:
the invention provides an operation support system based on important product traceability data service, which comprises an information push engine, an electronic resume service engine, a sensing data service engine, a position service engine, a knowledge base interaction service engine, a decision support service engine, a data mining service engine, a main data sharing service engine, a checking detection data statistics engine, a recall management service engine and a central processing unit, wherein the aim of real-time traceability of products is achieved by detecting data of all links of the products in real time.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
FIG. 1 is a schematic block diagram of an operation support system based on an important product traceability data service according to an embodiment of the present invention;
fig. 2 is a schematic diagram of an operation principle of an information push engine according to an embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating the working principle of a location-based service engine according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of the working principle of the knowledge base interaction service engine according to the embodiment of the invention;
FIG. 5 is a schematic diagram illustrating the operation of a decision support service engine according to an embodiment of the present invention;
FIG. 6 is a schematic diagram illustrating the working principle of a data mining service engine according to an embodiment of the present invention;
FIG. 7 is a schematic diagram illustrating the working principle of a main data sharing service engine according to an embodiment of the present invention;
FIG. 8 is a schematic diagram illustrating the operation of a verification test data statistics engine according to an embodiment of the present invention;
fig. 9 is a schematic diagram of an operating principle of a recall management service engine according to an embodiment of the present invention.
Detailed Description
It should be understood that the described embodiments are merely some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in FIG. 1, the operation support system based on important product traceability data service comprises an information push engine, an electronic resume service engine, a sensing data service engine, a location-based service engine, a knowledge base interaction service engine, a decision support service engine, a data mining service engine, a main data sharing service engine, a check detection data statistics engine, a recall management service engine and a central processing unit, wherein the information push engine, the electronic resume service engine, the sensing data service engine, the location-based service engine, the knowledge base interaction service engine, the decision support service engine, the data mining service engine, the main data sharing service engine, the check detection data statistics engine and the recall management service engine are all electrically connected with the central processing unit.
Preferably, the information pushing engine comprises an email sending module, a mobile phone short message sending module, a predefined sending rule module, an information pushing service module and an information pushing log inquiring module;
the email sending module: for sending an email;
the mobile phone short message sending module is used for: the method is used for sending the mobile phone short message;
the predefined transmission rule module: for predefining a statistics field and a threshold value, and predefining a transmission user, a transmission form or a transmission frequency;
the information push service module: the information pushing module is used for pushing information according to the predefined sending rules of the predefined sending rule module;
the information push log query module is used for: and the operation log is used for checking information pushing.
The working principle of the information push engine is shown in fig. 2, and an administrator user manually defines information such as the transmission content, the push form, the recipient and the like to be stored in the operation support setting database through a predefined transmission rule module interface of the information push engine. The information push service module obtains the predefined sending rules in the operation support setting database at regular time (1 day and 1 time), and invokes corresponding interfaces (mobile phone short message sending interfaces and electronic mail sending interfaces) to push the appointed recipients according to the pushing form in the sending rules by combining the data in the traceability database and the inspection database. The interface accumulates the call times to the data service engine interface call record table running the support monitoring database after each call.
Preferably, the electronic resume service engine comprises a trusted service signature module and a trusted service verification module;
the trusted service signature module: for signing trusted services for enterprise event data;
the trusted service verification module: for service verification of the authenticity of the signature data.
In one specific application scenario, the electronic resume service engine works as follows:
enterprise registration: this operation is completed only once.
Calling the iotans interface: an enterprise registration interface (add_is) stores enterprise user information in an iotans database.
Enterprise identification rule registration: this operation is completed only once.
The enterprise invokes the national platform iotans interface: a login authentication interface (authentication_is) to authenticate the user identity and obtain a unique user ID: seid.
The enterprise generates an RSA public-private key for the trusted data signature.
The enterprise invokes the national platform iotans interface: the identification rule registration interface (add_is_structure) stores the data such as the iotIS service address, the iotTS service address, the RSA public key of the trusted data signature, the rule (Structure), the iotDS service address and the like into the iotNS database of the national platform.
Identification binding:
the enterprise invokes the provincial platform iotads interface each time a new identifier is bound: an identification registration interface (add_code) stores information such as the URN information of the item (bound identification), the iois service address, the rule (Structure) and the like in an iotDS database of the province platform.
And (3) main data submission: .
The enterprise submits the main data by calling the enterprise platform iotIS interface: a main data submission interface (vocaborycapture) stores the main data in the enterprise's iois database.
The enterprise stores the main data stored in the enterprise iotIS database in the previous step through an enterprise platform iotIS interface: and extracting a main data query (Poll), sequencing the field values according to an English sequence, merging the character strings, and finally carrying out encryption signature on the character strings through an RSA private key of the trusted data signature of the enterprise.
The enterprise invokes a trusted service signature of the national platform data service engine system (each of the iotTS services has a main data signature interface and an event data signature interface), and stores information such as a main data ID URN, a main data type URN, an encrypted signature and the like into an iotTS database (which is stored separately according to the province where the enterprise is submitted) of the national platform.
Event data submission:
the enterprise submits the event data by calling an enterprise platform iotIS interface: an event data submission interface (eventCapture) stores the master data in the enterprise's IOTIS database.
The enterprise stores the event data stored in the enterprise IOTIS database in the previous step through an enterprise platform IOtIS interface: and (3) extracting event data query (Poll), sorting the field values according to the English sequence, merging the character strings, and finally carrying out encryption signature on the character strings through an RSA private key of the trusted data signature of the enterprise.
The enterprise calls a trusted service signature of a national platform data service engine system (each iots service is provided with a main data signature interface and an event data signature interface), and information such as a single trace-back article main data ID array (epcList), a batch trace-back article main data ID array (quaterniyList), event occurrence time (eventTime), an encrypted signature and the like is stored in an iots database of the national platform (which is stored separately according to the province of the submitting enterprise).
The enterprise invokes the province platform iotDS interface: and the event registration interface (add_event) stores information such as the iotIS service address, the iotTS service address, an RSA public key of the trusted data signature and the like into an iotDS database of the provincial platform.
Public query APP-master data query:
enterprise iotas, iotats acquisition:
invoking a national platform iotans interface: the end user queries an interface (query_srv_list) to obtain information such as the iotIS service address, the iotTS service address, the RSA public key of the trusted data signature, and the like.
And (3) main data signature verification:
and calling a national platform data service engine system trusted signature verification (a main data signature verification interface) to request main data, wherein parameters are commodity URN, the iotas service address, an RSA public key of the trusted data signature and a main data type.
The national platform data service engine system trusted signature verification (main data signature verification interface) is implemented through the enterprise platform iotIS interface according to the iotIS service address, commodity URN and main data type parameters: event data query (Poll) is extracted, and the field values are sorted according to English order and the character strings are combined.
And acquiring the signature of the main data from the iotattS database according to the commodity URN and the main data type parameter, and decrypting according to the RSA public key parameter of the trusted data signature.
And comparing the character string obtained from the IOtIS interface of the enterprise platform with the decrypted character string, and returning a tampered result.
And (3) main data acquisition and display:
-obtaining a master data signature verification result.
Main data in the iotas database is processed through the iotas interface of the enterprise platform: the main data query (Poll) is extracted (different data fields are obtained according to different rights of the user during the extraction).
Public query APP-event data query:
the iotads acquisition:
invoking a national platform iotans interface: the end user queries an interface (query_srv_list) to obtain information such as the iotatds service address.
Enterprise iotas, iotats acquisition:
calling a platform-saving iotads interface: and an event query interface (query_event) acquires information such as the iotIS service address, the iotTS service address, an RSA public key of a trusted data signature and the like.
Event data acquisition:
event data in the iotIS database is processed through an enterprise platform iotIS interface: event data query (Poll) is extracted (different events are obtained according to different rights of a user during extraction).
Event data signature verification:
and calling a national platform data service engine system trusted signature verification (event data signature verification interface) to request to carry out event data, wherein parameters are an iotIS service address, an RSA public key of a trusted data signature, event occurrence time, a single trace item main data ID array JSON and a batch trace item main data ID array JSON.
The national platform data service engine system trusted signature verification (event data signature verification interface) is used for verifying the parameters of the ID array JSON of the single trace-back article main data and the ID array JSON of the batch trace-back article main data according to the iotIS service address, the event occurrence time and the iotIS interface of the enterprise platform: event data query (Poll) is extracted, and the field values are sorted according to English order and the character strings are combined.
And acquiring the signature of the event data from the iotattS database according to the event occurrence time, the single trace-back article main data ID array JSON and the batch trace-back article main data ID array JSON parameters, and decrypting according to the RSA public key parameters of the trusted data signature.
And comparing the character string obtained from the IOtIS interface of the enterprise platform with the decrypted character string, and returning a tampered result.
Event data presentation:
and displaying event data passing the signature verification.
Preferably, the sensing data service engine comprises a sensing data preprocessing module, a sensing data statistics module and a preprocessing log query module;
the sensing data preprocessing module is used for: the method comprises the steps of filtering abnormal sensing data and storing the filtered sensing data;
the sensing data statistics module is used for: the method comprises the steps of collecting and counting sensing data according to selected articles and time periods;
the preprocessing log query module: for viewing a log of sensory data preprocessing.
In a specific application scenario, the sensing data processing flow is as follows:
the enterprise platform system submits the sensor main data to the iotas main data submitting interface in a page input/interface importing mode, and stores the data to the iotas database.
The sensing data acquisition system is built by an enterprise, the work to be completed is to acquire sensing data, submit the sensing acquisition data to an iotIS event data submitting interface according to an enterprise iotIS data storage rule, and store the data to an iotIS database.
The reporting province platform servo program-main data reporting module of the iotas submits the main data of the sensor held in the iotas to a main data reporting interface (interface pending) of the province platform, and stores the data to a province level supervision database.
The reporting provincial platform servo program-event data reporting module of the iotIS submits the sensing acquisition data held in the iotIS to an event data reporting interface (interface pending) of the provincial platform according to the reporting provincial supervision platform data rule, and saves the data to the provincial supervision database.
The national platform-data sharing system reports the sensing data in the provincial supervision database, including the main sensor data and the sensing acquisition data, to the preposed database through cleaning, conversion and loading (ETL). (corresponding insertion according to the Table Structure field)
The sensing data in the front database comprises sensor main data and sensing acquisition data, and the sensing data are imported into the environment sensing data through the environment sensing conversion middleware. (corresponding insertion according to the Table Structure field)
This function is an optional function, such as a knowledge base that can directly provide context awareness decisions, which step may be omitted. Otherwise, the national platform 'configuration management' (menu item) provides a sensing judgment knowledge input interface for an administrator user to input a range interval (threshold value) for judging whether the sensing acquisition data is qualified or not, and stores the data into an expert knowledge database. The interface inputs the content: sensing collection classification, commodity classification, maximum threshold, minimum threshold.
The national platform-sensing service engine-sensing data preprocessing module processes sensing acquisition data in the environment sensing database and combines with 'qualification judgment rules' in the expert knowledge database to judge whether the whole transportation link is qualified or not, and finally, the judgment conclusion record is stored in the environment sensing database. And meanwhile, storing the content of the pretreatment execution in an operation support monitoring database.
The pretreatment flow comprises the following steps:
and taking out the record which is not judged (the field meeting the specification is empty) in the sensing collection data table in the environment sensing database, and carrying out the table linking with the sensing related object table.
And after the list connection, judging whether the data are qualified (whether the data exceed or not are lower than a threshold value) in a sensing data expert knowledge list according to commodity classification in a sensing related object list, the type of the acquired data in a sensing acquisition data list, the maximum acquired sensing value and the minimum acquired sensing value in a knowledge base.
And when all the articles are judged to be qualified, the transportation/production is judged to be qualified, and otherwise, the transportation/production is judged to be unqualified.
And writing the judging result back to a field meeting the specification in a 'sensing acquisition data table'.
The national platform supervision application function transportation qualification rate analysis is output by calling a national platform-sensing service engine-sensing data summarization statistical interface.
The national platform 'log query' (menu item) will provide a sensing preprocessing log query interface for an administrator to supervise the operation of the national platform-sensing service engine-sensing data preprocessing module.
Preferably, the location-based service engine comprises a geographic location preprocessing module, a distance calculation module and a physical address conversion module;
the geographic position preprocessing module is used for: the method is used for automatically completing the geographic position of the enterprise according to the information such as the enterprise address and the like;
the distance calculation module is used for: the method comprises the steps of calculating a linear distance between two geographic positions;
the physical address translation module: the method is used for converting the enterprise address into longitude and latitude.
The working principle of the location based service engine is as shown in fig. 3:
and the geographic position preprocessing module based on the position service engine automatically complements enterprises which do not fill in longitude and latitude in the enterprise data table of the traceability database by calling a geographic position to longitude and latitude interface. The 'peripheral enterprise query interface' can acquire peripheral enterprises from the traceability database through the 'geographic position-longitude-latitude interface' and the 'distance calculation interface' according to the address and the distance range input by the user. The interface accumulates the call times to the data service engine interface call record table running the support monitoring database after each call.
The knowledge base interaction service engine provides setting work such as data definition of the knowledge base and the like, and also provides data output of the knowledge base authorized by the application component.
The specific functions comprise knowledge base data setting and food transportation safety index judgment. Knowledge base data setting: for manual input by the user or for importation of knowledge base data from a risk assessment center.
The knowledge base interaction service engine operates on the principle shown in figure 4,
the knowledge base data is manually entered by the user through a "knowledge base data set" interface or is imported (optional) from the knowledge base data of the risk assessment center. And then processing and summarizing the food transportation safety index interface and outputting the food transportation safety index interface to the supervision application/component. The interface accumulates the call times to the data service engine interface call record table running the support monitoring database after each call.
Preferably, the decision support service engine comprises a sensory data diagnosis module:
the sensing data diagnosis module: for determining whether the incoming actual sensed data is at risk.
The decision support service engine is as shown in fig. 5:
and the 'self-checking data intelligent studying and judging preprocessing' module of the decision support service engine can conduct studying and comparing on the finished product self-checking data in the checking database and checking knowledge in the expert knowledge database to judge whether the self-checking result of the commodity batch is qualified or not. The execution frequency of the self-checking data intelligent research and judgment preprocessing module is 1 day and 1 time. And then outputting to the supervision application/component through a self-checking data research and judgment unqualified commodity distribution statistical interface and a self-checking data research and judgment unqualified change trend statistical interface of the decision support service engine. The interface accumulates the call times to the data service engine interface call record table running the support monitoring database after each call.
Preferably, the data mining service engine comprises a food safety credit scoring module and a food safety data prediction module:
the food safety credit scoring module: for analyzing a security credit score of the business food;
the food safety data prediction module: the method is used for completing various processes of food safety data mining and analyzing and predicting monitoring time sequence data.
The data mining service engine principle is shown in fig. 6:
the 'sample data preprocessing' module of the data mining service engine classifies and synchronizes the change data in the traceability database and the inspection database into the big data analysis sample database, wherein the synchronization frequency is 1 day and 1 time. The big data analysis system module is used for clustering and analyzing the data in the big data analysis sample database by the food and food enterprise clustering and classification analysis module and the food safety monitoring time sequence data analysis and prediction module. And then outputting to the supervision application/component through an enterprise similarity analysis interface, an enterprise cluster analysis interface and a reject occurrence probability prediction interface of the data mining service engine. The interface accumulates the call times to the data service engine interface call record table running the support monitoring database after each call.
A primary data sharing service engine: the method is used for providing enterprise owner data and commodity owner data sharing service. The specific functions include: and acquiring enterprise owner data information. And acquiring commodity main data, and acquiring commodity main data information.
The principle of operation of the primary data sharing service engine is shown in figure 7,
the "business owner data acquisition interface" and "commodity owner data acquisition interface" of the main data sharing service engine output to the supervisory application/component. The interface accumulates the call times to the data service engine interface call record table running the support monitoring database after each call.
Preferably, the inspection detection data statistics engine comprises an inspection detection data preprocessing module, a sampling inspection qualification rate statistics module and a sampling inspection qualification rate statistics module;
the inspection detection data preprocessing module is used for: the sampling detection data processing module is used for carrying out preprocessing statistics on sampling detection data;
the selective examination qualification rate is counted according to classification by a module: the method is used for counting the qualification rate of the spot check according to the food classification;
the sampling inspection qualification rate statistics module comprises: the method is used for counting the spot check qualification rate of the food.
The principle of operation of the inspection test data statistics engine is shown in figure 8,
the 'sampling test data preprocessing' module of the test data statistics engine can collect the data of the sampling test table of the test database and store the collected data into the sampling test collection table. And then the sampling inspection qualification rate statistics interface and the sampling inspection failure rate are processed according to the classification statistics interface, and output to the supervision application/component. The interface accumulates the call times to the data service engine interface call record table running the support monitoring database after each call.
Recall management service engine: for issuing recall plans for national platforms to problem enterprises. The specific functions include: recall plan, forced recall. And issuing the platform recall plan to the problem enterprise.
The working principle of the recall management service engine is shown in fig. 9, and a user initiates recall of the commodity of the problem enterprise through a recall plan newly added interface of the recall management service engine, and recall information data is recorded into a product recall plan table of the traceability database. The 'national platform recall plan issuing program' extracts the recall plans which are not issued in the traceable database at regular time (every 1 hour) and transmits the recall plans to the problem enterprise iotIS database through the 'event data submitting interface' of the enterprise platform, and meanwhile, the 'national platform recall plan issuing program' also accumulates the calling times into the 'data service engine interface calling record table' of the operation support monitoring database.
Article tracing event request concurrency user number is more than 1000; when 1000 concurrent users, the request response time is <5 seconds.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any changes or substitutions easily contemplated by those skilled in the art within the scope of the present invention should be included in the present invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.
Claims (4)
1. The operation support system based on important product traceability data service is characterized by comprising an information push engine, an electronic resume service engine, a sensing data service engine, a location-based service engine, a knowledge base interaction service engine, a decision support service engine, a data mining service engine, a main data sharing service engine, a checking detection data statistics engine, a recall management service engine and a central processor, wherein the information push engine, the electronic resume service engine, the sensing data service engine, the location-based service engine, the knowledge base interaction service engine, the decision support service engine, the data mining service engine, the main data sharing service engine, the checking detection data statistics engine and the recall management service engine are all electrically connected with the central processor;
the electronic resume service engine works as follows:
enterprise registration: this operation is completed only once;
calling the iotans interface: the enterprise registration interface stores the enterprise user information in an iotNS database;
enterprise identification rule registration: this operation is completed only once;
the enterprise invokes the national platform iotans interface: logging in the verification interface to verify the identity of the user and obtain the unique user ID;
the enterprise generates an RSA public-private key for trusted data signing;
the enterprise invokes the national platform iotans interface: the identification rule registration is connected, and the data of the iotIS service address, the iotTS service address, the RSA public key of the trusted data signature, the rule and the iotDS service address are stored in an iotNS database of the national platform;
identification binding: the enterprise invokes the provincial platform iotads interface each time a new identifier is bound: the identification registration interface stores the URN information, the iotIS service address and the rule information of the bound identification object into an iotDS database of the provincial platform;
and (3) main data submission: the enterprise submits the main data by calling the enterprise platform iotIS interface: the main data submitting interface stores the main data into an iotIS database of the enterprise;
the enterprise stores the main data stored in the enterprise iotIS database in the previous step through an enterprise platform iotIS interface: the main data is inquired and extracted, the field values are sequenced according to the English sequence, the character strings are combined, and finally the character strings are encrypted and signed through the trusted data signature RSA private key of the enterprise;
the enterprise invokes a trusted service signature of a national platform data service engine system, and stores the main data IDURN, the main data type URN and the encrypted signature information into an iotattS database of the national platform;
event data submission: the enterprise submits the event data by calling an enterprise platform iotIS interface: the event data submitting interface stores the main data into an IOTIS database of the enterprise;
the enterprise stores the event data stored in the enterprise IOTIS database in the previous step through an enterprise platform IOtIS interface: the event data is inquired and extracted, the field values are sequenced according to the English sequence, the character strings are combined, and finally the character strings are encrypted and signed through the trusted data signature RSA private key of the enterprise;
the enterprise calls a trusted service signature of a national platform data service engine system, and stores a single trace-back article main data ID array, a batch trace-back article main data ID array, event occurrence time and encrypted signature information into an iotattS database of the national platform;
the enterprise invokes the province platform iotDS interface: the event registration interface stores the information of the RSA public key of the iotIS service address, the iotTS service address and the trusted data signature into the iotDS database of the provincial platform;
public query APP-master data query:
enterprise iotas, iotats acquisition:
invoking a national platform iotans interface: the terminal user inquires the interface to acquire the RSA public key information of the iotIS service address, the iotTS service address and the trusted data signature;
and (3) main data signature verification:
invoking a national platform data service engine system trusted signature verification request to carry out main data, wherein parameters are commodity URN, an iotIS service address, an RSA public key of a trusted data signature and a main data type;
the national platform data service engine system trusted signature verification is performed according to the iotIS service address, commodity URN and main data type parameters through the enterprise platform iotIS interface: the event data is inquired and extracted, and the field values are sequenced and combined according to the English sequence;
acquiring a signature of main data according to commodity URN and main data type parameters from an iotattTS database, and decrypting according to RSA public key parameters of trusted data signature;
comparing the character string obtained from the IOtIS interface of the enterprise platform with the decrypted character string, and returning a tampered result;
acquiring and displaying main data, namely acquiring a main data signature verification result;
main data in the iotas database is processed through the iotas interface of the enterprise platform: the main data is inquired and extracted;
public query APP-event data query:
the iotads acquisition:
invoking a national platform iotans interface: the terminal user inquires an interface to acquire the information of the iotDS service address;
enterprise iotas, iotats acquisition:
calling a platform-saving iotads interface: the event inquiry interface acquires the RSA public key information of the iotIS service address, the iotTS service address and the trusted data signature;
event data acquisition:
event data in the iotIS database is processed through an enterprise platform iotIS interface: the event data is inquired and extracted;
event data signature verification:
invoking a national platform data service engine system trusted signature verification request to carry out event data, wherein parameters are an iotIS service address, an RSA public key of a trusted data signature, event occurrence time, a single trace-back article main data ID array JSON and a batch trace-back article main data ID array JSON;
the national platform data service engine system trusted signature verification is performed according to the iotIS service address, event occurrence time, a single trace-back article main data ID array JSON and batch trace-back article main data ID array JSON parameters, and an enterprise platform iotIS interface is adopted: the event data is inquired and extracted, and the field values are sequenced and combined according to the English sequence;
acquiring a signature of event data from the iotattS database according to the event occurrence time, the single trace-back article main data ID array JSON and the batch trace-back article main data ID array JSON parameters, and decrypting according to RSA public key parameters of the trusted data signature;
comparing the character string obtained from the IOtIS interface of the enterprise platform with the decrypted character string, and returning a tampered result;
event data presentation: the event data passing the signature verification is displayed;
the information push engine comprises an email sending module, a mobile phone short message sending module, a predefined sending rule module, an information push service module and an information push log query module;
the sensing data service engine comprises a sensing data preprocessing module, a sensing data statistics module and a preprocessing log query module; the sensing data preprocessing module is used for: the method comprises the steps of filtering abnormal sensing data and storing the filtered sensing data; the sensing data statistics module is used for: the method comprises the steps of collecting and counting sensing data according to selected articles and time periods; the preprocessing log query module: a log for viewing the sensory data preprocessing;
the location-based service engine comprises a geographic location preprocessing module, a distance calculation module and a physical address conversion module; the geographic position preprocessing module is used for: the geographic position of the enterprise is automatically complemented according to the enterprise address information; the distance calculation module is used for: the method comprises the steps of calculating a linear distance between two geographic positions; the physical address translation module: the method is used for converting the enterprise address into longitude and latitude;
the decision support service engine includes a sensory data diagnostic module: the sensing data diagnosis module: for judging whether the incoming actual sensed data is at risk;
the data mining service engine comprises a food safety credit scoring module and a food safety data prediction module: the food safety credit scoring module: for analyzing a security credit score of the business food; the food safety data prediction module: the method comprises the steps of performing each process of food safety data mining, and performing monitoring time sequence data analysis and prediction;
the inspection detection data statistics engine comprises an inspection detection data preprocessing module, a sampling inspection qualification rate statistics module and a sampling inspection qualification rate statistics module;
the knowledge base interaction service engine is used for providing data definition setting work of the knowledge base and also providing data output of the knowledge base authorized by the application component, wherein the data output comprises knowledge base data setting and food transportation safety index judgment;
the main data sharing service engine is used for providing enterprise main data and commodity main data sharing service, and comprises the following components: acquiring enterprise owner data, acquiring enterprise owner data information, acquiring commodity owner data, and acquiring commodity owner data information;
the recall management service engine is configured to issue a recall plan of a national platform to a problem enterprise, and includes: and a recall plan, forcing recall and issuing a platform recall plan, and issuing the recall plan to the problem enterprise.
2. The operation support system based on important product traceability data service according to claim 1, wherein said email sending module: for sending an email; the mobile phone short message sending module is used for: the method is used for sending the mobile phone short message; the predefined transmission rule module: for predefining a statistics field and a threshold value, and predefining a transmission user, a transmission form or a transmission frequency; the information push service module: the information pushing module is used for pushing information according to the predefined sending rules of the predefined sending rule module; the information push log query module is used for: and the operation log is used for checking information pushing.
3. The operation support system based on important product traceability data service according to claim 1, wherein said electronic biography service engine comprises a trusted service signature module and a trusted service verification module;
the trusted service signature module: for signing trusted services for enterprise event data;
the trusted service verification module: for service verification of the authenticity of the signature data.
4. The operation support system based on important product traceability data service according to claim 1, wherein said inspection detection data preprocessing module: the sampling detection data processing module is used for carrying out preprocessing statistics on sampling detection data; the selective examination qualification rate is counted according to classification by a module: the method is used for counting the qualification rate of the spot check according to the food classification; the sampling inspection qualification rate statistics module comprises: the method is used for counting the spot check qualification rate of the food.
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