An oil quality traceability service management platform
By combining blockchain and service processing knowledge base, we can monitor and automatically trace oil quality anomalies, and use visual models to assist online experts in processing. This solves the problems of high labor costs and low efficiency in traditional oil quality traceability, and achieves efficient traceability and service processing.
Patent Information
- Application Number
- CN202411355821.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-27
- Publication Date
- 2025-09-16
- Estimated Expiration
- 2044-09-27
AI Technical Summary
The traditional oil quality traceability process has high labor costs and low efficiency, making it difficult to conduct traceability efficiently.
The oil quality traceability library and service processing knowledge base stored in blockchain are used to monitor abnormal oil quality events through the monitoring module, and the traceability module is used for automatic traceability. The service processing is combined with a visual service processing model and online expert assistance to reduce labor costs and improve traceability efficiency.
It has achieved automation and efficiency in oil quality traceability, reduced labor costs, improved traceability efficiency, and enhanced service handling efficiency for abnormal oil quality incidents.
Smart Images

Figure CN119338477B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of oil product quality traceability service management, and in particular to an oil product quality traceability service management platform. Background Art
[0002] Currently, oil users with oil needs will search for suitable suppliers on the oil supply platform. After reaching a cooperation agreement with the supplier, the supplier will supply oil to the user. During this process, the supplier may encounter abnormal oil quality, necessitating oil quality traceability.
[0003] Traditionally, oil quality traceability requires a large number of management personnel to manually carry out the work, which results in high labor costs and seriously insufficient traceability efficiency.
[0004] Therefore, a solution is urgently needed. Summary of the Invention
[0005] One of the purposes of the present invention is to provide an oil quality traceability service management platform to monitor abnormal oil quality events in the oil supply chain. Based on the oil quality traceability library stored on the blockchain, oil quality traceability is performed according to abnormal oil quality events, and traceability results are obtained to achieve automatic oil quality traceability. Based on the service processing knowledge base, according to the traceability results, online experts are assisted in providing service processing for abnormal oil quality events, thereby reducing labor costs and improving traceability efficiency.
[0006] An embodiment of the present invention provides an oil product quality traceability service management platform, comprising:
[0007] Monitoring module, used to monitor abnormal oil quality events in the oil supply chain;
[0008] The traceability module is used to trace the oil quality based on the oil quality traceability database stored on the blockchain and obtain traceability results based on abnormal oil quality events;
[0009] The service module is used to assist online experts in handling abnormal oil quality events based on the service processing knowledge base and traceability results.
[0010] Preferably, the service module assists online experts in performing service processing on abnormal oil quality events based on the service processing knowledge base and the traceability results, including:
[0011] Connect the parties affected by abnormal oil quality events, the responsible parties in the traceability results, and online experts to the online conference room;
[0012] Based on abnormal oil quality events and traceability results, a visual service processing model is built and continuously transmitted to the online conference room;
[0013] When a first meeting record generated in the online conference room within the first time period meets the meeting record condition, generating a public perspective creation condition based on the first meeting record;
[0014] During the second time period, a model screen of the public perspective viewing visualization service processing model created based on the public perspective creation condition is continuously transmitted into the online conference room;
[0015] Determining applicable knowledge screening conditions based on a second meeting record generated in the online meeting room during a second time period;
[0016] Based on the applicable knowledge screening conditions, the applicable knowledge is screened out from the service processing knowledge base;
[0017] Representing the applicable knowledge in a visual service processing model, obtaining a representation area, and continuously transmitting it into the online conference room during a third time period;
[0018] Service processing strategies to obtain decision-making inputs from influencers, responsible parties, and online experts;
[0019] Provide service processing for abnormal oil quality events based on service processing strategies;
[0020] The first time period is a time period after the influencing party, the responsible party, and the online expert have connected to the online conference room and the length of time is equal to the first time threshold;
[0021] The second time period is a time period after the first time period and adjacent to the first time period, the duration of which is equal to the second time period threshold;
[0022] The third time period is a time period that is after the second time period and adjacent to the second time period and has a duration that is a third duration threshold.
[0023] Preferably, the meeting record conditions include:
[0024] The semantic set formed by the semantics of each first target record matches the standard semantic set of the feature description vector; the first target record is a first record screening template based on the feature description vector of the first meeting record, and is screened from the first meeting record.
[0025] Preferably, generating the public perspective creation conditions based on the first meeting record includes:
[0026] Screening out a plurality of second target records from the first meeting record based on a second record screening template of a standard semantic set;
[0027] Associating the semantically relevant element search template of each second target record with the corresponding second target record;
[0028] Traverse each second target record in sequence according to the order in which the second target records are generated in the first meeting record;
[0029] During each traversal, the relevant elements are searched from the visualization service processing model based on the relevant element search template associated with the traversed second target record;
[0030] The conditions for generating a public perspective include:
[0031] The public perspective contains N sub-perspectives; N is the total number of second target records;
[0032] When you switch to each sub-perspective to view the visual service processing model, the order in which the related elements appear in each sub-perspective is the same as the order in which the related elements are searched;
[0033] The view overlap between any two sub-views is greater than or equal to the overlap threshold.
[0034] Preferably, determining the applicable knowledge screening condition based on the second meeting record generated in the online meeting room during the second time period includes:
[0035] Matching the multiple semantics of the second conference record with the multiple trigger semantics one by one;
[0036] When the match is met, a template is generated based on the conditions of the triggering semantics that match the match, and applicable knowledge screening conditions are generated according to the semantics of the second conference record.
[0037] An embodiment of the present invention provides an oil product quality traceability service management method, comprising:
[0038] Monitor abnormal oil quality events in the oil supply chain;
[0039] Based on the oil quality traceability database stored on the blockchain, oil quality traceability is carried out according to abnormal oil quality events and traceability results are obtained;
[0040] Based on the service processing knowledge base and the traceability results, online experts are assisted in providing service processing for abnormal oil quality incidents.
[0041] Preferably, the service processing knowledge base is used to assist online experts in performing service processing on abnormal oil quality events according to the traceability results, including:
[0042] Connect the parties affected by abnormal oil quality events, the responsible parties in the traceability results, and online experts to the online conference room;
[0043] Based on abnormal oil quality events and traceability results, a visual service processing model is built and continuously transmitted to the online conference room;
[0044] When a first meeting record generated in the online conference room within the first time period meets the meeting record condition, generating a public perspective creation condition based on the first meeting record;
[0045] During the second time period, a model screen of the public perspective viewing visualization service processing model created based on the public perspective creation condition is continuously transmitted into the online conference room;
[0046] Determining applicable knowledge screening conditions based on a second meeting record generated in the online meeting room during a second time period;
[0047] Based on the applicable knowledge screening conditions, the applicable knowledge is screened out from the service processing knowledge base;
[0048] Representing the applicable knowledge in a visual service processing model, obtaining a representation area, and continuously transmitting it into the online conference room during a third time period;
[0049] Service processing strategies to obtain decision-making inputs from influencers, responsible parties, and online experts;
[0050] Provide service processing for abnormal oil quality events based on service processing strategies;
[0051] The first time period is a time period after the influencing party, the responsible party, and the online expert have connected to the online conference room and the length of time is equal to the first time threshold;
[0052] The second time period is a time period after the first time period and adjacent to the first time period, the duration of which is equal to the second time period threshold;
[0053] The third time period is a time period that is after the second time period and adjacent to the second time period and has a duration that is a third duration threshold.
[0054] Preferably, the meeting record conditions include:
[0055] The semantic set formed by the semantics of each first target record matches the standard semantic set of the feature description vector; the first target record is a first record screening template based on the feature description vector of the first meeting record, and is screened from the first meeting record.
[0056] Preferably, generating the public perspective creation conditions based on the first meeting record includes:
[0057] Screening out a plurality of second target records from the first meeting record based on a second record screening template of a standard semantic set;
[0058] Associating the semantically relevant element search template of each second target record with the corresponding second target record;
[0059] Traverse each second target record in sequence according to the order in which the second target records are generated in the first meeting record;
[0060] During each traversal, the relevant elements are searched from the visualization service processing model based on the relevant element search template associated with the traversed second target record;
[0061] The conditions for generating a public perspective include:
[0062] The public perspective contains N sub-perspectives; N is the total number of second target records;
[0063] When you switch to each sub-perspective to view the visual service processing model, the order in which the related elements appear in each sub-perspective is the same as the order in which the related elements are searched;
[0064] The view overlap between any two sub-views is greater than or equal to the overlap threshold.
[0065] Preferably, determining the applicable knowledge screening condition based on the second meeting record generated in the online meeting room during the second time period includes:
[0066] Matching the multiple semantics of the second conference record with the multiple trigger semantics one by one;
[0067] When the match is met, a template is generated based on the conditions of the triggering semantics that match the match, and applicable knowledge screening conditions are generated according to the semantics of the second conference record.
[0068] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.
[0069] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS
[0070] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:
[0071] Figure 1 Schematic diagram of an oil product quality traceability service management platform according to an embodiment of the present invention;
[0072] Figure 2 Schematic diagram of an oil product quality traceability service management method in an embodiment of the present invention. DETAILED DESCRIPTION
[0073] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.
[0074] The embodiment of the present invention provides an oil quality traceability service management platform, such as Figure 1 Shown, including:
[0075] Monitoring module 1, used to monitor abnormal oil quality events in the oil supply chain;
[0076] Traceability module 2 is used to trace the oil quality based on the oil quality traceability database stored on the blockchain and obtain traceability results according to abnormal oil quality events;
[0077] Service module 3 is used to assist online experts in handling abnormal oil quality events based on the service processing knowledge base and traceability results.
[0078] The oil supply chain refers to the link from the oil supplier to the oil user; the oil quality abnormality event refers to the event in which the oil user experiences abnormal oil quality when using the oil products provided by the oil supplier; the oil quality traceability library is stored on the blockchain, and the oil quality traceability library records the multimodal information of the oil supply from the oil supplier to the oil user, such as: the quality inspection report of the oil product before leaving the factory, the oil transportation route, the logistics company responsible for the oil transportation, etc. The blockchain has the characteristic of being able to tamper with information at will, and the oil quality traceability library is stored on it to improve the accuracy and credibility of traceability using the library; based on the oil quality traceability library The quality traceability library conducts oil quality traceability based on abnormal oil quality events, and searches the above-mentioned multimodal information related to abnormal oil quality events from the oil quality traceability library as the traceability result; the service processing knowledge base contains a large amount of service processing knowledge, which is knowledge that indicates how to perform service processing on abnormal oil quality events, and can be historical experience information of managers in handling different abnormal oil quality events; based on the service processing knowledge base, according to the traceability results, online experts are assisted in performing service processing on abnormal oil quality events.
[0079] This application monitors abnormal oil quality events in the oil supply chain. Based on the oil quality traceability library stored on the blockchain, it traces the oil quality according to abnormal oil quality events, obtains traceability results, and realizes automatic oil quality traceability. It also assists online experts in providing service processing for abnormal oil quality events based on the traceability results based on the service processing knowledge base, thereby reducing labor costs and improving traceability efficiency.
[0080] In one embodiment, the service module assists online experts in handling abnormal oil quality events based on the service processing knowledge base and the traceability results, including:
[0081] Connect the affected parties of the oil quality abnormality incident, the responsible parties in the traceability results, and online experts to an online conference room. The affected parties of the oil quality abnormality incident are generally the affected oil users; the responsible parties in the traceability results are generally the oil suppliers, oil transportation and logistics companies, etc. The online experts are experts in oil quality traceability service management. Connect the three parties to the online conference room and they can hold an online meeting.
[0082] Based on abnormal oil quality events and traceability results, a visualization service processing model is constructed and continuously transmitted into the online conference room. The visualization service processing model can visualize abnormal oil quality events and traceability results. During construction, the abnormal oil quality events and traceability results can be displayed on the city map model. For example, if the abnormal oil quality event is that the lubricating oil of operating equipment B at location A is not lubricating well, then the map area corresponding to location A on the city map model will be marked with the information that the lubricating oil of operating equipment B is not lubricating well. For another example, if the traceability result is that the logistics transport vehicle of logistics company C does not meet the transportation conditions, then the map area corresponding to the company address of logistics company C on the map model will be marked with the information that the logistics transport vehicle does not meet the transportation conditions. After the visualization service processing model is continuously transmitted into the online conference room, the three parties in the online conference room can continuously view the visualization service processing model.
[0083] When the first meeting record generated in the online conference room during the first time period meets the meeting record conditions, a public perspective creation condition is generated based on the first meeting record. When the first meeting record meets the meeting record conditions, it indicates that the three parties in the online conference room need to use the visualization service processing model to make a service processing decision for the abnormal oil quality event. In this case, a public perspective creation condition is generated based on the first meeting record.
[0084] During the second time period, the model screen of the public perspective viewing visualization service processing model created based on the public perspective creation condition is continuously transmitted into the online conference room. Thereafter, the model screen of the public perspective viewing visualization service processing model created based on the public perspective creation condition is continuously transmitted into the online conference room, and the three parties in the online conference room can continuously view the model screen. The three parties in the online conference room do not need to operate the visualization service processing model on their own. The system can adaptively create the most appropriate public perspective and transmit the model screen, thereby improving the user experience and the efficiency of the three parties in the online conference room in making service processing decisions for abnormal oil quality events.
[0085] Based on the second meeting record generated in the online conference room during the second time period, an applicable knowledge screening condition is determined. When the three parties in the online conference room view the model screen during the second time period, they discuss a specific service processing decision. Therefore, based on the second meeting record, an applicable knowledge screening condition can be determined. The applicable knowledge screening condition is a condition for screening out knowledge reflected in the discussion of the specific service processing decision that is applicable to assisting the three parties in making a service processing decision.
[0086] Based on the applicable knowledge screening conditions, the applicable knowledge is screened out from the service processing knowledge base;
[0087] The applicable knowledge is represented in the visual service processing model, a representation area is obtained, and the representation area is continuously transmitted to the online conference room during the third time period. When the applicable knowledge is represented in the visual service processing model, the representation area can instruct the online experts on how to make service processing decisions for abnormal oil quality events. For example, if the applicable knowledge is that the oil transportation and logistics party compensates the oil user for all losses, the representation area after the representation in the visual service processing model will be a display area for information indicating that the oil transportation and logistics party compensates the oil user for all losses. The representation area is continuously transmitted to the online conference room during the third time period so that the three parties can continuously view it.
[0088] Obtain service processing strategies from the decision inputs of the influencing parties, responsible parties, and online experts; the influencing parties, responsible parties, and online experts ultimately make decisions and input the service processing strategies;
[0089] Provide service processing for abnormal oil quality events based on service processing strategies;
[0090] The first time period is a time period after the influencing party, the responsible party, and the online expert have connected to the online conference room and the time period is equal to the first time threshold. The first time threshold may be, for example, 300 seconds.
[0091] The second time period is a time period after the first time period and adjacent to the first time period, the duration of which is equal to the second time threshold; the second time threshold may be, for example, 100 seconds;
[0092] The third time period is a time period after the second time period and adjacent to the second time period, and has a duration equal to a third time threshold, such as 50 seconds.
[0093] In one embodiment, the meeting record conditions include:
[0094] The semantic set formed by the semantics of each first target record matches the standard semantic set of the feature description vector; the first target record is a first record screening template based on the feature description vector of the first meeting record, and is screened from the first meeting record.
[0095] The feature description vector of the first meeting record is constructed in vector form by features such as the number of meeting records of the first meeting record and the time interval between two adjacent different meeting records; the feature description vector is preset with a first record screening template, and based on the first record screening template, the feature description vector can be screened out from the first meeting record to reflect the features that may represent the first target record that the three parties in the online conference room need to use the visualization service processing model to make a service processing decision for abnormal oil quality events. For example: the feature description vector is constructed with the number of meeting records being 3 and the time intervals between two adjacent different meeting records being 30 seconds and 50 seconds respectively, which means that the three meeting records are three discussion stages, and different discussion stages may all represent meeting records that the three parties in the online conference room need to use the visualization service processing model to make a service processing decision for abnormal oil quality events, then all the meeting records in the first meeting record will be filtered out. The meeting record is taken as the first target record; the standard semantic set of the feature description vector is formed by multiple semantics reflecting that the three parties in the online conference room need to use the visualization service processing model to make service processing decisions for abnormal oil quality events. When the semantic set formed by the semantics of each of the first target records matches the standard semantic set, it means that the three parties in the online conference room need to use the visualization service processing model to make service processing decisions for abnormal oil quality events. For example: the features constructed into the feature description vector are that the number of meeting records is 3, and the time intervals between different meeting records generated two by two are 30 seconds and 50 seconds respectively. Then the semantics in the standard semantic set of the feature description vector are "first understand the abnormal situation of the oil product", "then look at the traceability results", and "finally make a decision"; therefore, the meeting record condition is set. When the first meeting record meets the condition, it means that the three parties in the online conference room need to use the visualization service processing model to make service processing decisions for abnormal oil quality events.
[0096] In one embodiment, generating the public perspective creation condition based on the first meeting record includes:
[0097] Screening out a plurality of second target records from the first meeting record based on a second record screening template of a standard semantic set;
[0098] Associating the semantically relevant element search template of each second target record with the corresponding second target record;
[0099] Traverse each second target record in sequence according to the order in which the second target records are generated in the first meeting record;
[0100] During each traversal, the relevant elements are searched from the visualization service processing model based on the relevant element search template associated with the traversed second target record;
[0101] The conditions for generating a public perspective include:
[0102] The public perspective contains N sub-perspectives; N is the total number of second target records;
[0103] When you switch to each sub-perspective to view the visual service processing model, the order in which the related elements appear in each sub-perspective is the same as the order in which the related elements are searched;
[0104] The view overlap between any two sub-views is greater than or equal to the overlap threshold.
[0105] The second record screening template of the standard semantic set is a template for screening out the second target record that may reflect the content that the three parties in the online conference room want to view. For example: the semantics in the standard semantic set are "first understand the abnormal situation of the oil products", "then look at the traceability results", and "finally make a decision", then the second record screening template is to screen out the meeting records in the first meeting record that match the semantics in the standard semantic set after the preset threshold (for example: 3) as the second target record; the related element search template of the semantics of each second target record is a template for searching out related elements related to the semantics, for example: the semantics is "look at the current oil product quality inspection report", then the related element search template is to search out the current oil product quality inspection report. test report; the overlap threshold can be, for example, 40%; when switching between each sub-perspective to view the visualization service processing model, the order of related elements that appear in each sub-perspective is the same as the order in which the related elements are searched, so that when the three parties in the online conference room view the model screen, they can quickly know that the system is guiding them to view according to the first meeting record they generated, and thus quickly get assistance; the perspective overlap between any two sub-perspectives is greater than or equal to the overlap threshold, which can minimize the difference between different sub-perspectives, so that when the three parties in the online conference room view the model screen, they can see the overlapping areas of different sub-perspectives, which is helpful for the three parties to make decisions and handle abnormal oil quality events with consistency.
[0106] In one embodiment, determining the applicable knowledge screening condition based on the second meeting record generated in the online meeting room during the second time period includes:
[0107] Matching the multiple semantics of the second conference record with the multiple trigger semantics one by one;
[0108] When the match is met, a template is generated based on the conditions of the triggering semantics that match the match, and applicable knowledge screening conditions are generated according to the semantics of the second conference record.
[0109] The trigger semantics presets a conditional generation template. For example, if the trigger semantics is "punish the oil transportation logistics party", the conditional generation template is a template for generating applicable knowledge that indicates how to punish the oil transportation logistics party.
[0110] The embodiment of the present invention provides a method for managing oil quality traceability services, such as Figure 2 Shown, including:
[0111] S1. Monitor abnormal oil quality events in the oil supply chain;
[0112] S2. Based on the oil quality traceability database stored on the blockchain, oil quality traceability is performed according to abnormal oil quality events and traceability results are obtained;
[0113] S3. Based on the service processing knowledge base and traceability results, online experts are assisted in providing service processing for abnormal oil quality events.
[0114] Based on the service processing knowledge base and the traceability results, online experts are assisted in providing service processing for abnormal oil quality events, including:
[0115] Connect the parties affected by abnormal oil quality events, the responsible parties in the traceability results, and online experts to the online conference room;
[0116] Based on abnormal oil quality events and traceability results, a visual service processing model is built and continuously transmitted to the online conference room;
[0117] When a first meeting record generated in the online conference room within the first time period meets the meeting record condition, generating a public perspective creation condition based on the first meeting record;
[0118] During the second time period, a model screen of the public perspective viewing visualization service processing model created based on the public perspective creation condition is continuously transmitted into the online conference room;
[0119] Determining applicable knowledge screening conditions based on a second meeting record generated in the online meeting room during a second time period;
[0120] Based on the applicable knowledge screening conditions, the applicable knowledge is screened out from the service processing knowledge base;
[0121] Representing the applicable knowledge in a visual service processing model, obtaining a representation area, and continuously transmitting it into the online conference room during a third time period;
[0122] Service processing strategies to obtain decision-making inputs from influencers, responsible parties, and online experts;
[0123] Provide service processing for abnormal oil quality events based on service processing strategies;
[0124] The first time period is a time period after the influencing party, the responsible party, and the online expert have connected to the online conference room and the length of time is equal to the first time threshold;
[0125] The second time period is a time period after the first time period and adjacent to the first time period, the duration of which is equal to the second time period threshold;
[0126] The third time period is a time period that is after the second time period and adjacent to the second time period and has a duration that is a third duration threshold.
[0127] The meeting record conditions include:
[0128] The semantic set formed by the semantics of each first target record matches the standard semantic set of the feature description vector; the first target record is a first record screening template based on the feature description vector of the first meeting record, and is screened from the first meeting record.
[0129] Generating the public perspective creation conditions based on the first meeting record includes:
[0130] Screening out a plurality of second target records from the first meeting record based on a second record screening template of a standard semantic set;
[0131] Associating the semantically relevant element search template of each second target record with the corresponding second target record;
[0132] Traverse each second target record in sequence according to the order in which the second target records are generated in the first meeting record;
[0133] During each traversal, the relevant elements are searched from the visualization service processing model based on the relevant element search template associated with the traversed second target record;
[0134] The conditions for generating a public perspective include:
[0135] The public perspective contains N sub-perspectives; N is the total number of second target records;
[0136] When you switch to each sub-perspective to view the visual service processing model, the order in which the related elements appear in each sub-perspective is the same as the order in which the related elements are searched;
[0137] The view overlap between any two sub-views is greater than or equal to the overlap threshold.
[0138] The determining of the applicable knowledge screening condition based on the second meeting record generated in the online meeting room during the second time period includes:
[0139] Matching the multiple semantics of the second conference record with the multiple trigger semantics one by one;
[0140] When the match is met, a template is generated based on the conditions of the triggering semantics that match the match, and applicable knowledge screening conditions are generated according to the semantics of the second conference record.
[0141] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.
Claims
1. An oil product quality traceability service management platform, characterized by: include: Monitoring module, used to monitor abnormal oil quality events in the oil supply chain; The traceability module is used to trace the oil quality based on the oil quality traceability database stored on the blockchain and obtain traceability results based on abnormal oil quality events; The service module is used to assist online experts in handling abnormal oil quality events based on the service processing knowledge base and traceability results; The service module performs the following operations: Connect the parties affected by abnormal oil quality events, the responsible parties in the traceability results, and online experts to the online conference room; Based on abnormal oil quality events and traceability results, a visual service processing model is built and continuously transmitted to the online conference room; When a first meeting record generated in the online conference room within the first time period meets the meeting record condition, a plurality of second target records are screened out from the first meeting record based on a second record screening template of a standard semantic set; Associating the semantically relevant element search template of each second target record with the corresponding second target record; Traverse each second target record in sequence according to the order in which the second target records are generated in the first meeting record; During each traversal, the relevant elements are searched from the visualization service processing model based on the relevant element search template associated with the traversed second target record; The conditions for generating a public perspective include: The public perspective contains N sub-perspectives; N is the total number of second target records; When you switch to each sub-perspective to view the visual service processing model, the order in which the related elements appear in each sub-perspective is the same as the order in which the related elements are searched; The view overlap between any two sub-views is greater than or equal to the overlap threshold; During the second time period, the model screen of the public perspective viewing visualization service processing model created based on the public perspective creation condition is continuously transmitted into the online conference room.
2. The oil product quality traceability service management platform according to claim 1, characterized in that: The service module is based on the service processing knowledge base and, according to the traceability results, assists online experts in handling abnormal oil quality events, including: Determining applicable knowledge screening conditions based on a second meeting record generated in the online meeting room during a second time period; Based on the applicable knowledge screening conditions, the applicable knowledge is screened out from the service processing knowledge base; Representing the applicable knowledge in a visual service processing model, obtaining a representation area, and continuously transmitting it into the online conference room during a third time period; Service processing strategies to obtain decision-making inputs from influencers, responsible parties, and online experts; Provide service processing for abnormal oil quality events based on service processing strategies; The first time period is a time period after the influencing party, the responsible party, and the online expert have connected to the online conference room and the length of time is equal to the first time threshold; The second time period is a time period after the first time period and adjacent to the first time period, the duration of which is equal to the second time period threshold; The third time period is a time period that is after the second time period and adjacent to the second time period and has a duration that is a third duration threshold.
3. The oil product quality traceability service management platform according to claim 2, characterized in that: The meeting record conditions include: The semantic set formed by the semantics of each first target record matches the standard semantic set of the feature description vector; the first target record is a first record screening template based on the feature description vector of the first meeting record, and is screened from the first meeting record.
4. The oil quality traceability service management platform according to claim 3, characterized in that: The determining of the applicable knowledge screening condition based on the second meeting record generated in the online meeting room during the second time period includes: Matching the multiple semantics of the second conference record with the multiple trigger semantics one by one; When the match is met, a template is generated based on the conditions of the triggering semantics that match the match, and applicable knowledge screening conditions are generated according to the semantics of the second conference record.
5. A method for managing oil product quality traceability services, characterized in that: include: Monitor abnormal oil quality events in the oil supply chain; Based on the oil quality traceability database stored on the blockchain, oil quality traceability is carried out according to abnormal oil quality events and traceability results are obtained; Based on the service processing knowledge base and traceability results, online experts are assisted in handling abnormal oil quality incidents. Based on the service processing knowledge base and the traceability results, online experts are assisted in providing service processing for abnormal oil quality events, including: Connect the parties affected by abnormal oil quality events, the responsible parties in the traceability results, and online experts to the online conference room; Based on abnormal oil quality events and traceability results, a visual service processing model is built and continuously transmitted to the online conference room; When a first meeting record generated in the online conference room within the first time period meets the meeting record condition, a plurality of second target records are screened out from the first meeting record based on a second record screening template of a standard semantic set; Associating the semantically relevant element search template of each second target record with the corresponding second target record; Traverse each second target record in sequence according to the order in which the second target records are generated in the first meeting record; During each traversal, the relevant elements are searched from the visualization service processing model based on the relevant element search template associated with the traversed second target record; The conditions for generating a public perspective include: The public perspective contains N sub-perspectives; N is the total number of second target records; When you switch to each sub-perspective to view the visual service processing model, the order in which the related elements appear in each sub-perspective is the same as the order in which the related elements are searched; The view overlap between any two sub-views is greater than or equal to the overlap threshold; During the second time period, the model screen of the public perspective viewing visualization service processing model created based on the public perspective creation condition is continuously transmitted into the online conference room.
6. The oil product quality traceability service management method according to claim 5, characterized in that: Based on the service processing knowledge base and the traceability results, online experts are assisted in providing service processing for abnormal oil quality events, including: Determining applicable knowledge screening conditions based on a second meeting record generated in the online meeting room during a second time period; Based on the applicable knowledge screening conditions, the applicable knowledge is screened out from the service processing knowledge base; Representing the applicable knowledge in a visual service processing model, obtaining a representation area, and continuously transmitting it into the online conference room during a third time period; Service processing strategies to obtain decision-making inputs from influencers, responsible parties, and online experts; Provide service processing for abnormal oil quality events based on service processing strategies; The first time period is a time period after the influencing party, the responsible party, and the online expert have connected to the online conference room and the length of time is equal to the first time threshold; The second time period is a time period after the first time period and adjacent to the first time period, the duration of which is equal to the second time period threshold; The third time period is a time period that is after the second time period and adjacent to the second time period and has a duration that is a third duration threshold.
7. The oil product quality traceability service management method according to claim 6, characterized in that: The meeting record conditions include: The semantic set formed by the semantics of each first target record matches the standard semantic set of the feature description vector; the first target record is a first record screening template based on the feature description vector of the first meeting record, and is screened from the first meeting record.
8. The oil product quality traceability service management method according to claim 7, characterized in that: The determining of the applicable knowledge screening condition based on the second meeting record generated in the online meeting room during the second time period includes: Matching the multiple semantics of the second conference record with the multiple trigger semantics one by one; When the match is met, a template is generated based on the conditions of the triggering semantics that match the match, and applicable knowledge screening conditions are generated according to the semantics of the second conference record.
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