CN113807899A - Carbon emission conversion cloud carbon credit point query ranking system - Google Patents
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Abstract
The invention discloses a carbon emission conversion cloud carbon credit point query ranking system, which belongs to the technical field of data statistics and comprises a user login module, a point consumption module, a point updating module, a point query module, a point collection module, a point database and a point table construction module, wherein the user login module is respectively in communication connection with the point consumption module, the point query module, the point collection module and the point table construction module; the invention can improve the use enthusiasm of the user, improve the carbon emission conversion rate of the user, protect the environment, facilitate the recording of daily point consumption by the user, improve the use experience of the user, save the time for calculating the point detail by the user and improve the use efficiency of the user.
Description
Technical Field
The invention relates to the technical field of data statistics, in particular to a carbon emission conversion cloud carbon credit point query ranking system.
Background
The global temperature rises due to the emission of human activities or greenhouse gases formed naturally, so that the greenhouse effect is formed, wherein the contribution of CO2 to the greenhouse effect reaches 60%, global warming becomes an important obstacle restricting the sustainable development of human economy and society, the control of pollutant and greenhouse gas emission is highly valued, carbon emission trading comes with the continuous development of the era, the carbon emission trading refers to an important mechanism for promoting environmental protection by applying market economy, and enterprises can use or trade energy sources inside the enterprises and at home and abroad by using the reduced carbon emission on the premise that the total emission amount specified by the carbon emission trading is not broken through; therefore, it becomes more important to invent a carbon emission conversion cloud carbon credit point query ranking system;
the existing carbon emission conversion cloud carbon credit point query ranking system cannot give a user relevant carbon emission conversion reward, so that the use enthusiasm of the user is reduced, the carbon emission conversion rate is reduced, and the environment is damaged; in addition, the conventional carbon emission conversion cloud carbon credit point query ranking system requires a user to record daily credit consumption, reduces user experience, wastes time for calculating point details of the user, and reduces user use efficiency.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides a carbon emission conversion cloud carbon credit point query ranking system.
In order to achieve the purpose, the invention adopts the following technical scheme:
a carbon emission conversion cloud carbon credit point query ranking system comprises a user login module, a point consumption module, a point updating module, a point query module, a point collection module, a point database and a point table construction module;
the system comprises a user login module, a score consumption module, a score query module, a score collection module and a score table construction module, wherein the user login module is respectively in communication connection with the score consumption module, the score query module, the score collection module and the score table construction module, the score updating module is respectively in communication connection with the score query module, the score consumption module, a score database and the score collection module, and the score database is in communication connection with the score table construction module.
Further, the user login module is configured to receive a user account and a user password, identify and judge a user identity, classify the user identity according to an individual user and an enterprise user, and mark the user identity as A, B.
Further, the point collection module is used for receiving a or B and performing classified collection on the relevant carbon credit points, and the specific steps of the classified collection are as follows:
step (1): the integral collection module is in communication connection with the carbon emission conversion sensor in the user account binding area and receives integral data transmitted by the carbon emission conversion sensor;
step (2): and classifying the point data according to the personal points and the enterprise points, and respectively processing the point data to generate update data a and update data b.
Further, the point consumption module is configured to perform judgment processing on the user operation information, where the judgment processing specifically includes the following steps:
the first step is as follows: the point consumption module is in communication connection with various network malls and feeds back prices of various commodities in the network malls to the user in a point form;
the second step is that: the user selects various commodities, and if the user selects to purchase the commodities, the point consumption module collects the point value of the user and compares the point value with the commodity point;
the third step: if the user integral is larger than the commodity integral, allowing the user to purchase and generating updating data c;
the fourth step: and if the user points are smaller than the commodity points, refusing the user to purchase and feeding back that the points are insufficient and cannot be purchased.
Further, the point updating module is configured to receive the update data a, the update data b, or the update data c, and perform update feedback on the user points, where the update feedback specifically includes the following steps:
s1: if receiving the update data a, the integral updating module calls the relevant user integral, and carries out integral change on the user integral according to the integral value in the update data a to generate feedback data d;
s2: if receiving the update data b, the integral updating module calls the relevant enterprise integral, and carries out integral change on the enterprise integral according to the integral value in the update data b to generate feedback data e;
s3: if the update data c is received, the integral updating module judges the user information, if the update data c is A, the integral updating module calls the relevant user integral and carries out integral change according to the integral value in the update data a to generate feedback data f, and if the update data B is B, the integral updating module calls the relevant enterprise integral and carries out integral change according to the integral value in the update data B to generate the feedback data g.
Further, the point query module is used for receiving the feedback data d, the feedback data e, the feedback data f or the feedback data g, updating the point value of the individual user or the enterprise user in real time according to the feedback data d, the feedback data e, the feedback data f or the feedback data g, and simultaneously, the user selects to view, and the specific steps of selecting to view are as follows:
SS 1: inputting a ranking type X and a conversion type Y which need to be checked into the integral query module by a user, and inputting a query date Z again after inputting;
SS 2: and the point query module receives X, Y and Z, calls the related ranking list, labels the user account in the ranking list, and feeds back the ranking and the point number to the user.
Further, the point database is used for receiving the feedback data d, the feedback data e, the feedback data f and the feedback data g, and updating the personal points and the enterprise points stored in the point database;
the integral table construction module is used for calling the personal integral and the enterprise integral and carrying out change feedback, and the change feedback comprises the following specific steps:
p1: the score table construction module automatically generates a score change table and classifies the recorded data according to the recording date, the consumption record, the added score, the score before change and the score after change;
p2: collecting various data, recording the data into corresponding positions in an integral change table, and simultaneously recording the integral change table again by a integral table construction module according to a period of one day;
p3: and the score table construction module detects whether the user logs in, and feeds back the score change table of the previous day to the user if the user logs in.
Compared with the prior art, the invention has the beneficial effects that:
1. the system is provided with an integral consumption module, the integral consumption module is in communication connection with various network malls, prices of various commodities in the network malls are fed back to users in an integral mode, the users select various commodities, if the users select to purchase the commodities, the integral consumption module collects integral values of the users and compares the integral values with the commodity integrals, if the integral values of the users are larger than the commodity integrals, the users are allowed to purchase and update data c is generated, if the integral values of the users are smaller than the commodity integrals, the users are refused to purchase, and 'insufficient integral and unavailable purchase' are fed back, so that the use enthusiasm of the users can be improved, the carbon emission conversion rate of the users is improved, and the environment is protected;
2. the invention is provided with an integral table construction module, the integral table construction module automatically generates an integral change table, the recorded data is classified according to the recording date, the consumption record, the added integral number, the integral number before change and the integral number after change, various data are collected and recorded into corresponding positions in the integral change table, meanwhile, the integral table construction module records the integral change table again according to a period of one day, a user successfully logs in through a user login module, and the integral table construction module feeds back the integral change table of the previous day to the user, so that the daily integral consumption can be conveniently recorded by the user, the use experience of the user is improved, the time for calculating the integral detail by the user is saved, and the use efficiency of the user is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
Fig. 1 is a system block diagram of a carbon emission conversion cloud carbon credit point query ranking system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
Example 1
Referring to fig. 1, a carbon emission conversion cloud carbon credit point query ranking system comprises a user login module, a point consumption module, a point updating module, a point query module, a point collection module, a point database and a point table construction module;
in this embodiment, the user login module is in communication connection with the integral consumption module, the integral query module, the integral collection module and the integral table construction module respectively, the integral update module is in communication connection with the integral query module, the integral consumption module, the integral database and the integral collection module respectively, and the integral database is in communication connection with the integral table construction module.
The user login module is used for receiving a user account and a user password and identifying and judging the user identity.
Specifically, the user login module is in communication connection with the cloud server, account retrieval is performed from the cloud server according to the user account, if a consistent user account exists, the user password is detected and judged, if the user password is correct, user login is operated, if the user password is inconsistent, user login is prohibited, if the user password does not exist, the user login is prohibited, the user login is successful, the user login module performs identity detection on the user account, the user login module classifies the user account according to personal users and enterprise users, and meanwhile the user login module is respectively marked as A, B.
The point collection module is used for receiving A or B and classifying and collecting the relevant carbon credit points;
specifically, the point collecting module is in communication connection with the carbon emission conversion sensor in the user account binding area, receives point data transmitted by the point collecting module, classifies the point data according to personal points and enterprise points, and respectively processes the point data to generate update data a and update data b.
The point consumption module is used for judging and processing the user operation information;
specifically, the point consumption module is in communication connection with various network malls, prices of various commodities in the network malls are fed back to the user in a point form, the user selects various commodities, if the user selects to purchase the commodities, the point consumption module collects point values of the user and compares the point values with the commodity points, if the point values of the user are larger than the commodity points, the user is allowed to purchase and update data c is generated, if the point values of the user are smaller than the commodity points, the user is refused to purchase, and 'insufficient point and unavailable point purchase' is fed back.
Example 2
Referring to fig. 1, a carbon emission conversion cloud carbon credit point query ranking system comprises a user login module, a point consumption module, a point updating module, a point query module, a point collection module, a point database and a point table construction module;
the system comprises a user login module, a score consumption module, a score acquisition module, a score table construction module, a score updating module, a score database and a score table, wherein the user login module is in communication connection with the score consumption module, the score inquiry module, the score collection module and the score table construction module respectively, the score updating module is in communication connection with the score inquiry module, the score consumption module, the score database and the score table construction module respectively, and the score database is in communication connection with the score table construction module.
And the point updating module is used for receiving the updating data a, the updating data b or the updating data c and performing updating feedback on the user points.
Specifically, if receiving the update data a, the integral update module calls a relevant user integral and performs integral change according to an integral value in the update data a to generate feedback data d, if receiving the update data B, the integral update module calls a relevant enterprise integral and performs integral change according to an integral value in the update data B to generate feedback data e, if receiving the update data c, the integral update module judges user information, if the update data c is a, the integral update module calls a relevant user integral and performs integral change according to an integral value in the update data a to generate feedback data f, and if the update data B is B, the integral update module calls a relevant enterprise integral and performs integral change according to an integral value in the update data B to generate feedback data g.
And the integral query module is used for receiving the feedback data d, the feedback data e, the feedback data f or the feedback data g, updating the integral value of the individual user or the enterprise user in real time according to the feedback data d, the feedback data e, the feedback data f or the feedback data g, and simultaneously, the user selects to view the integral value.
Specifically, the user inputs a ranking type X and a conversion type Y which need to be checked into the score query module, the query date Z is input again after the input is completed, the score query module receives X, Y and Z, calls the related ranking list, labels the user account in the ranking list, and feeds the ranking and the score back to the user.
And the point database is used for receiving the feedback data d, the feedback data e, the feedback data f and the feedback data g and updating the personal points and the enterprise points stored in the point database.
The integral table building module is used for calling the personal integral and the enterprise integral and carrying out change feedback.
Specifically, the score change table is automatically generated through the score table construction module, the recorded data are classified according to the recording date, the consumption record, the added score, the before-change score and the after-change score, various data are collected and recorded into corresponding positions in the score change table, meanwhile, the score table construction module records the score change table again according to a period of one day, the score table construction module detects whether a user logs in, and if the user logs in, the previous day score change table is fed back to the user.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (7)
1. A carbon emission conversion cloud carbon credit point query ranking system is characterized by comprising a user login module, a point consumption module, a point updating module, a point query module, a point collection module, a point database and a point table construction module;
the system comprises a user login module, a score consumption module, a score query module, a score collection module and a score table construction module, wherein the user login module is respectively in communication connection with the score consumption module, the score query module, the score collection module and the score table construction module, the score updating module is respectively in communication connection with the score query module, the score consumption module, a score database and the score collection module, and the score database is in communication connection with the score table construction module.
2. The carbon emission conversion cloud carbon credit query ranking system of claim 1, wherein the user login module is configured to receive a user account and a user password, and to perform identification and determination on the user identity, classify the user according to an individual user and an enterprise user, and respectively mark the user as A, B.
3. The carbon emission conversion cloud carbon credit query ranking system according to claim 2, wherein the credit collection module is configured to receive a or B and perform classification collection on the relevant carbon credit, and the classification collection specifically includes the following steps:
step (1): the integral collection module is in communication connection with the carbon emission conversion sensor in the user account binding area and receives integral data transmitted by the carbon emission conversion sensor;
step (2): and classifying the point data according to the personal points and the enterprise points, and respectively processing the point data to generate update data a and update data b.
4. The carbon emission conversion cloud carbon credit query ranking system according to claim 1, wherein the credit consumption module is configured to perform judgment processing on user operation information, and the judgment processing specifically includes the following steps:
the first step is as follows: the point consumption module is in communication connection with various network malls and feeds back prices of various commodities in the network malls to the user in a point form;
the second step is that: the user selects various commodities, and if the user selects to purchase the commodities, the point consumption module collects the point value of the user and compares the point value with the commodity point;
the third step: if the user integral is larger than the commodity integral, allowing the user to purchase and generating updating data c;
the fourth step: and if the user points are smaller than the commodity points, refusing the user to purchase and feeding back that the points are insufficient and cannot be purchased.
5. The carbon emission conversion cloud carbon credit query ranking system according to claim 4, wherein the credit update module is configured to receive update data a, update data b, or update data c, and perform update feedback on the user credit, and the update feedback specifically includes the following steps:
s1: if receiving the update data a, the integral updating module calls the relevant user integral, and carries out integral change on the user integral according to the integral value in the update data a to generate feedback data d;
s2: if receiving the update data b, the integral updating module calls the relevant enterprise integral, and carries out integral change on the enterprise integral according to the integral value in the update data b to generate feedback data e;
s3: if receiving the updating data c, the integral updating module judges the user information;
if the user number is A, the integral updating module calls the relevant user integral, and carries out integral change on the user integral according to the integral value in the updating data a to generate feedback data f;
and if the number of the enterprise points is B, the point updating module calls the related enterprise points, and carries out point change on the related enterprise points according to the point values in the updating data B to generate feedback data g.
6. The carbon emission conversion cloud carbon credit query ranking system according to claim 5, wherein the credit query module is configured to receive feedback data d, feedback data e, feedback data f, or feedback data g, update the integral value of an individual user or an enterprise user in real time according to the feedback data d, feedback data e, feedback data f, or feedback data g, and select to view by a user, and the specific steps of selecting to view are as follows:
SS 1: inputting a ranking type X and a conversion type Y which need to be checked into the integral query module by a user, and inputting a query date Z again after inputting;
SS 2: and the point query module receives X, Y and Z, calls the related ranking list, labels the user account in the ranking list, and feeds back the ranking and the point number to the user.
7. The carbon emission conversion cloud carbon credit query ranking system according to claim 5, wherein the credit database is configured to receive feedback data d, feedback data e, feedback data f, and feedback data g, and update the personal credits and the enterprise credits stored in the credit database;
the integral table construction module is used for calling the personal integral and the enterprise integral and carrying out change feedback, and the change feedback comprises the following specific steps:
p1: the score table construction module automatically generates a score change table and classifies the recorded data according to the recording date, the consumption record, the added score, the score before change and the score after change;
p2: collecting various data, recording the data into corresponding positions in an integral change table, and simultaneously recording the integral change table again by a integral table construction module according to a period of one day;
p3: and the score table construction module detects whether the user logs in, and feeds back the score change table of the previous day to the user if the user logs in.
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