Artificial Intelligence Emission Coefficient Query System

Abstract

An artificial intelligence emission coefficient query system includes an activity data management module, a recommendation module, a routing module, and a supporting query module. The activity data management module has an activity data list; the recommendation module includes a prompt word generation unit, a language model, and candidate emission coefficient data. The prompt word generation unit generates query prompt words based on the search items in the activity data list, enabling the language model to generate emission coefficient recommendation items from the candidate emission coefficient data; the routing module receives the emission coefficient recommendation items and transmits them to the supporting query module; the supporting query module, through an automated program, operates on the emission coefficient database based on the emission coefficient recommendation items to obtain emission coefficients and supporting data, which are then transmitted to the activity data management module via the routing module for inclusion in the search items of the activity data list.

Claims

1. An artificial intelligence emission coefficient query system, comprising: an activity data management module having at least one activity data list corresponding to at least one user account, the at least one activity data list including a query item; a recommendation module, signal-connected to the activity data management module, the recommendation module including a prompt word generation unit, a language model and candidate emission coefficient data, the recommendation module receiving the query item from the at least one activity data list, the prompt word generation unit generating a query prompt word based on the query item from the at least one activity data list, the language model generating an emission coefficient recommendation item from the candidate emission coefficient data based on the query prompt word; and a routing module, signal-connected to the recommendation module and the activity data management module, and receiving the emission coefficient recommendation item from the recommendation module. A supporting evidence query module is signal-connected to the routing module. The supporting evidence query module includes an automated operating program and at least one emission factor database. The automated operating program operates the at least one emission factor database based on the recommended items for the emission factor to obtain an emission factor and supporting evidence from the at least one emission factor database. The supporting evidence query module transmits the emission factor and the supporting evidence to the routing module. The routing module transmits the emission factor and supporting data to the activity data management module, and the activity data management module adds the emission factor and supporting data to the check item in the at least one activity data register.

2. The artificial intelligence emission coefficient query system as described in claim 1, wherein the number of the at least one user account is multiple, the number of the at least one activity data list is multiple and each corresponds to one of the user accounts; the recommendation module receives the query item of each activity data list, the prompt word generation unit generates the corresponding query prompt word based on the query item of each activity data list; the language model generates each emission coefficient recommendation item based on each query prompt word in the candidate emission coefficient data.

3. The artificial intelligence emission coefficient query system as described in claim 2, wherein the routing module receives each emission coefficient recommendation item from the recommendation module and sequentially transmits the emission coefficient recommendation items to the supporting query module according to a scheduling order.

4. The artificial intelligence emission coefficient query system as described in claim 3, wherein the routing module transmits one emission coefficient recommendation item to the supporting query module each time; the automatic operation program operates the at least one emission coefficient database based on one emission coefficient recommendation item each time; each time the supporting query module transmits the emission coefficient and the supporting data to the routing module, it also transmits a completion message; when the routing module receives the completion message, it transmits the next emission coefficient recommendation item to the supporting query module.

5. The artificial intelligence emission coefficient query system as described in claim 4, wherein the routing module estimates the waiting time for the activity data management module to obtain the emission coefficient and supporting data for each of the query items according to the scheduling order, and transmits each waiting time to the activity data management module for display on a user interface corresponding to each activity data list.

6. The artificial intelligence emission coefficient query system as described in claim 5, wherein the routing module records a first time point at which a recommended emission coefficient item is transmitted to the supporting query module and a second time point at which the corresponding completion message is received, calculates a time difference between the first time point and the second time point, and multiplies the time difference by a sequence number of each query item in the scheduling order to obtain the waiting time of each query item.

7. The artificial intelligence emission coefficient query system as described in claim 3, wherein the scheduling order is determined according to the order in which the routing module receives each emission coefficient recommendation item from the recommendation module.

8. The artificial intelligence emission coefficient query system as described in claim 3, wherein each user account has a priority level, and when the priority levels of the user accounts are the same, the scheduling order is determined according to the order in which the routing module receives the emission coefficient recommendation items from the recommendation module; when the priority levels of the user accounts are different, the scheduling order is determined according to the priority levels of the user accounts.

9. The artificial intelligence emission coefficient query system as described in Request 1, wherein the query prompt is a meta prompt, which requires the language model to generate a primary prompt for querying emission coefficients and enables the language model to generate recommended emission coefficient items from the candidate emission coefficient data based on the primary prompt.

10. The artificial intelligence emission coefficient query system as described in claim 1, wherein the candidate emission coefficient data of the recommendation module includes a plurality of sub-data sets, each corresponding to a plurality of data source names; the emission coefficient recommendation item includes one of the data source names; the number of the at least one emission coefficient database of the supporting query module is a plurality and each corresponds to one of the data source names; the automatic operation program selects a corresponding emission coefficient database based on the data source name of the emission coefficient recommendation item to obtain the emission coefficient and the supporting data.

11. The artificial intelligence emission coefficient query system as described in claim 1, wherein the candidate emission coefficient data includes a candidate item, the candidate item includes an item emission coefficient; the emission coefficient recommended item corresponds to the candidate item and includes a recommended emission coefficient, the recommended emission coefficient corresponds to the item emission coefficient; when the routing module determines that the emission coefficient obtained from the supporting query module is different from the recommended emission coefficient obtained from the recommendation module, the routing module transmits an update request instruction to the recommendation module, the update request instruction includes the emission coefficient, and the recommendation module updates the corresponding item emission coefficient in the candidate emission coefficient data according to the update request instruction.

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