CN117763462A - Interaction method, device, equipment and storage medium based on carbon reduction and consumption reduction - Google Patents
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Abstract
The invention discloses an interaction method, device, equipment and storage medium based on carbon reduction and consumption reduction. The method comprises the following steps: determining the characteristics of the object and the characteristics of the target user for reducing carbon and reducing consumption by utilizing a characteristic prediction algorithm and/or carbon energy data; matching the carbon reduction consumption reduction object characteristics and the target user characteristics with a plurality of preset interaction strategies to obtain a target interaction strategy; and outputting the interactive content to the interactive object according to the target interactive strategy. According to the technical scheme, the data of the carbon reduction consumption reduction object and the target user can be obtained through continuous interaction and data acquisition, so that the interaction object can be well understood and homonymized, the extracted characteristics are matched with the preset interaction strategy, the personalized interaction strategy aiming at different carbon reduction consumption reduction objects and target users can be obtained, interaction is carried out with the interaction object according to the interaction strategy, and interaction experience which meets the requirements and demands of the interaction object better can be provided.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to an interaction method, device, equipment and storage medium based on carbon reduction and consumption reduction.
Background
Energy conservation and emission reduction are necessary ways for preventing climate warming, and are necessary choices for sustainable development of the earth. Energy conservation and emission reduction are realized, and energy revolution and industry revolution of cross-country cross-border and global cooperation are required to be realized. Under the general trend of jointly coping with climate change worldwide and attempting to realize temperature increase control, energy conservation and emission reduction become one of main measures for coping with climate change and reducing global warming for various countries, governments, enterprises, organizations and even individuals.
However, in the process of providing solutions or contents for the main body of the carbon reduction and consumption reduction work, i.e. the objects of the carbon reduction and consumption reduction such as enterprises, the complexity of the situation of energy saving and emission reduction, the diversity of requirements and insufficient collection of the information of the interactive objects and the main body of the carbon reduction and consumption reduction work often occur, so that the user cannot be well understood and satisfied solutions are provided for the user in the interaction process with the user, and the interaction experience is poor.
Disclosure of Invention
The invention provides an interaction method, device, equipment and storage medium based on carbon reduction and consumption reduction, which are used for solving the problem of poor user experience of a traditional interaction mode.
In a first aspect, the invention provides an interaction method based on carbon reduction and consumption reduction, which comprises the following steps:
Determining the characteristics of the carbon reduction and consumption reduction object and the characteristics of the target user by utilizing a characteristic prediction algorithm and/or carbon energy data, wherein the carbon energy data comprises the object data of the carbon reduction and consumption reduction object and/or the user data of the target user associated with the carbon reduction and consumption reduction object;
matching the carbon reduction consumption reduction object characteristics and the target user characteristics with a plurality of preset interaction strategies to obtain a target interaction strategy;
and outputting the interactive content to the interactive object according to the target interactive strategy.
In a second aspect, the present invention provides an interaction device based on carbon reduction and consumption reduction, including:
the characteristic determining module is used for determining the characteristics of the carbon reduction and consumption reduction object and the characteristics of the target user by utilizing a characteristic prediction algorithm and/or carbon energy data, wherein the carbon energy data comprises the object data of the carbon reduction and consumption reduction object and/or the user data of the target user associated with the carbon reduction and consumption reduction object;
the interaction strategy determining module is used for matching the carbon reduction consumption reduction object characteristics and the target user characteristics with a plurality of preset interaction strategies to obtain a target interaction strategy;
and the interaction module is used for outputting interaction content to the interaction object according to the target interaction strategy.
In a third aspect, the present invention provides an electronic device comprising:
at least one processor;
and a memory communicatively coupled to the at least one processor;
wherein the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the carbon reduction and consumption reduction based interaction method of the first aspect described above.
In a fourth aspect, the present invention provides a computer readable storage medium storing computer instructions for causing a processor to execute the interaction method based on carbon reduction and consumption reduction of the first aspect.
According to the interaction scheme based on carbon reduction and consumption reduction, the characteristics of the carbon reduction and consumption reduction objects and the characteristics of target users are determined by utilizing a characteristic prediction algorithm and/or carbon energy data, wherein the carbon energy data comprises the object data of the carbon reduction and consumption reduction objects and/or the user data of target users associated with the carbon reduction and consumption reduction objects, the characteristics of the carbon reduction and consumption reduction objects and the characteristics of the target users are matched with a plurality of preset interaction strategies, so that a target interaction strategy is obtained, and interaction contents are output to the interaction objects according to the target interaction strategy. By adopting the technical scheme, the data of the carbon reduction consumption reduction object and the target user are continuously acquired through interaction and data acquisition, the interaction object and the same-structure interaction object can be well understood by utilizing the feature extraction of the data, the extracted features are matched with the preset interaction strategy, the personalized interaction strategy aiming at different carbon reduction consumption reduction objects and target users can be obtained, and the interaction experience which meets the user expectations and demands can be provided by interacting with the interaction object according to the interaction strategy.
It should be understood that the description in this section is not intended to identify key or critical features of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of an interactive method based on carbon reduction and consumption reduction according to a first embodiment of the invention;
FIG. 2 is a flow chart of an interaction process according to a first embodiment of the present invention;
FIG. 3 is a flow chart of an interactive method based on carbon reduction and consumption reduction according to a second embodiment of the invention;
FIG. 4 is a schematic structural diagram of an interaction device based on carbon reduction and consumption reduction according to a third embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. In the description of the present invention, unless otherwise indicated, "a plurality" means two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a flowchart of an interaction method based on carbon reduction and consumption reduction, which is applicable to the interaction with an interactive object in the field of carbon reduction and consumption reduction, and the method can be implemented by an interaction device based on carbon reduction and consumption reduction, wherein the interaction device based on carbon reduction and consumption reduction can be implemented in a form of hardware and/or software, and the interaction device based on carbon reduction and consumption reduction can be configured in an electronic device, and the electronic device can be formed by two or more physical entities or one physical entity.
As shown in fig. 1, the interaction method based on carbon reduction and consumption reduction provided by the first embodiment of the invention specifically includes the following steps:
s101, determining the characteristics of the carbon reduction and consumption reduction object and the characteristics of the target user by utilizing a characteristic prediction algorithm and/or carbon energy data, wherein the carbon energy data comprises the object data of the carbon reduction and consumption reduction object and/or the user data of the target user associated with the carbon reduction and consumption reduction object.
In this embodiment, the carbon reduction and consumption reduction object may be various institutions, various organizations, enterprises, families, individuals, etc. that need to perform the carbon reduction and consumption reduction work, and the target user may be a person associated with performing the carbon reduction and consumption reduction work on the carbon reduction and consumption reduction object, where the interaction object belongs to the target user. Fig. 2 is a schematic flow chart of an interaction process, as shown in fig. 2, the carbon data may be acquired through IOT (Internet of Things ) collection, crawling, interaction (such as question-answer interaction), questionnaire, database, API (Application Programming Interface ) interface, and the like. The types of carbon data include text, voice, multimedia, and the like. The object data of the carbon reduction and consumption reduction object may include E (environmental) S (Social Responsibility, social) G (Governance) report, carbon neutral white book, double carbon organization disclosure information, double carbon plan, industry data, carbon emission data, carbon footprint data, energy consumption data, carbon reduction data, consumption reduction data, and the like. The user data may include behavior data, user attribute data, and the like. The interactive objects may be historic interactive objects (new users) and historic interactive objects (interacted). The characteristics of the carbon reduction and consumption reduction objects, such as industry type, carbon emission, energy consumption, unit emission, unit energy consumption, geographic position and the like, as well as the characteristics of target users, such as the behavior characteristics of users (such as interaction times, interaction time, click times, purchase frequency and the like) and the characteristics of user attributes (such as age, gender, emotion and the like), can be obtained by extracting the characteristics of the carbon data. The feature extraction tool comprises a scikit-learn library and the like, and the energy-carbon data comprises energy-carbon data comprising energy consumption carbon emission data, carbon reduction energy consumption carbon reduction data and the like.
As shown in fig. 2, if sufficient energy carbon data cannot be obtained, for example, the target user is unknown and/or the carbon reduction and consumption reduction object is unknown, the feature prediction algorithm can be used to predict the features of the carbon reduction and consumption reduction object and the features of the target user, for example, the feature prediction algorithm can be used to perform feature prediction and presetting of multiple dimensions on the target user and/or the carbon reduction and consumption reduction object according to the known data. For example, according to the occupation of the target user, the characteristics of the target user, such as user portraits, are estimated, and according to the industries of the carbon reduction and consumption reduction objects, the characteristics of the carbon reduction and consumption reduction objects, such as carbon reduction and consumption reduction planning, are estimated.
And S102, matching the carbon reduction consumption reduction object characteristics and the target user characteristics with a plurality of preset interaction strategies to obtain a target interaction strategy.
In this embodiment, a database, file, or other data structure may be used to store the preset interaction policy. As shown in fig. 2, a preset interaction policy may be predefined and stored to a policy repository. Each preset interaction strategy comprises a set of characteristic conditions and a corresponding set of interaction content parameters. The characteristic conditions can comprise characteristic data of different topics, such as characteristic data of user character and sex, characteristic data of user emotion, characteristic data of user experience, characteristic data of carbon reduction and consumption reduction object double-carbon planning, characteristic data of carbon reduction and consumption reduction object constraint, characteristic data of carbon emission reduction and consumption reduction object, characteristic data of energy consumption reduction and consumption reduction object industry, property characteristic data and the like. The interactive content parameters can comprise interactive content parameters of different topics, such as interactive style, interactive theory, content priority and the like of the interactive content. The content priority items can comprise content, interested content, planning content of the carbon reduction and consumption reduction objects, constraint items of the carbon reduction and consumption reduction objects, carbon emission countermeasure of the carbon reduction and consumption reduction objects, energy consumption countermeasure of the carbon reduction and consumption reduction objects and industry and property characteristic content of the carbon reduction and consumption reduction objects. The preset interaction policy may be determined based on domain knowledge and business requirements. The preset interaction strategy can be embodied in the form of rules, logical expressions, decision trees, machine learning models, and the like. Logic judgment or machine learning algorithms (such as decision trees, rule engines and the like) can be used for judging whether the characteristics of the carbon reduction and consumption reduction objects are matched with the characteristic conditions in the interaction strategy. The matched preset interaction strategy is the target interaction strategy. If the preset interaction strategy matched with the carbon reduction consumption reduction object features does not exist, the target interaction strategy can be generated according to the carbon reduction consumption reduction object features and the target user features, or the preset default interaction strategy is determined to be the target interaction strategy.
S103, outputting the interactive content to the interactive object according to the target interactive strategy.
In this embodiment, the target interaction policy may be applied to the interaction device, i.e. a specific scheme generation interaction. As shown in fig. 2, the interaction device may be instructed to perform a corresponding interaction operation according to the target interaction policy, and output interaction content, such as a recommendation result and data, accordingly, to interact with the interaction object.
According to the interaction method based on carbon reduction and consumption reduction, which is provided by the embodiment of the invention, the characteristics of the carbon reduction and consumption reduction object and the characteristics of the target user are determined by utilizing a characteristic prediction algorithm and/or carbon energy data, wherein the carbon energy data comprises the object data of the carbon reduction and consumption reduction object and/or the user data of the target user associated with the carbon reduction and consumption reduction object, the characteristics of the carbon reduction and consumption reduction object and the characteristics of the target user are matched with a plurality of preset interaction strategies, so that a target interaction strategy is obtained, and interaction content is output to the interaction object according to the target interaction strategy. According to the technical scheme, the data of the carbon reduction consumption reduction object and the target user are continuously acquired through interaction and data acquisition, the interaction object and the same-structure interaction object can be well understood by utilizing the feature extraction of the data, the extracted features are matched with the preset interaction strategy, the personalized interaction strategy aiming at different carbon reduction consumption reduction objects and target users can be obtained, and the interaction experience which meets the user expectations and demands can be provided by interacting with the interaction object according to the interaction strategy.
Optionally, the determining the characteristics of the object and the characteristics of the target user by using the characteristic prediction algorithm includes: and carrying out feature prediction on the carbon reduction and consumption reduction object and/or the target user by using a feature prediction algorithm and acquired data to obtain a third carbon reduction and consumption reduction object feature and a third target user feature. The advantage of this arrangement is that the characteristics of the carbon reduction and consumption reduction object and the characteristics of the target user can be determined or expanded through the characteristic prediction.
For example, if the age and occupation of the interactive object and the industry of the carbon reduction and consumption reduction object are collected, the feature prediction can be performed on the carbon reduction and consumption reduction object and/or the target user according to the information, so as to obtain the feature of the (third) carbon reduction and consumption reduction object, such as the constraint condition of restraining the carbon reduction and consumption reduction object to perform the carbon reduction and consumption reduction work, and the feature of the (third) target user, such as the character of the user.
Optionally, after determining the characteristics of the object and the characteristics of the target user for reducing carbon and reducing consumption by using the characteristic prediction algorithm and/or the carbon energy data, the method further comprises: performing feature coding on the carbon reduction consumption reduction object features and the target user features to obtain coding features; and marking the coding features by using a preset label, and storing the marked coding features and/or the carbon-energy data into a preset database. The method has the advantages that the characteristic representation capability of the carbon reduction consumption reduction object characteristics and the target user characteristics can be improved through coding, the method is suitable for reading and analyzing of interactive equipment, and the ordering of the coding characteristics can be ensured through warehousing the coding characteristics with labels.
Specifically, after feature extraction, the operations such as feature scaling, feature combination, feature coding and the like can be performed on the features of the object with reduced carbon and consumption and the features of the target user. And a proper coding mode such as single-heat coding, label coding, numerical normalization and the like can be selected according to the types of the characteristics of the object with reduced carbon and consumption and the characteristics of the target user. For text type features, they can be represented as feature vectors using bag of words models and word embedding, etc. The coding features can be marked, for example, the user satisfaction is used as a label to mark the coding features, and the coding features with the label and/or the carbon data can be stored in a preset database corresponding to the theme, so that the training and analysis of the interaction model of the interaction device can be conveniently used. In the process of performing multiple interactions with the interactive object, the interactive device may be instructed to read coding features and/or carbon-capable data from a preset database, where the coding features correspond to historical user data of the interactive object.
Example two
Fig. 3 is a flowchart of an interaction method based on carbon reduction and consumption reduction, which is provided in a second embodiment of the present invention, and the technical solution of the embodiment of the present invention is further optimized based on the above-mentioned alternative technical solutions, and a specific interaction mode is provided.
Optionally, the determining the characteristics of the object and the characteristics of the target user by using the energy-carbon data includes: preprocessing energy carbon data to obtain data to be processed; and processing the data to be processed by using a preset feature selection algorithm, and performing at least one of feature dimension reduction and feature combination on the processed data to be processed to obtain a first carbon reduction consumption reduction object feature and a first target user feature. The method has the advantages that the quality and the accuracy of the data are ensured through multiple processing of the carbon-energy data, so that more accurate and higher-level carbon-reduction consumption-reduction object characteristics and target user characteristics can be extracted.
Optionally, the matching the carbon reduction consumption reduction object feature and the target user feature with a plurality of preset interaction strategies to obtain a target interaction strategy includes: matching the carbon reduction consumption reduction object characteristics and the target user characteristics with characteristic conditions in a plurality of preset interaction strategies by using an artificial intelligence algorithm to obtain a matching result; and determining a target interaction strategy according to the matching result and at least one of the interaction object portrait, the priority of the preset interaction strategy and the carbon reduction and consumption reduction objects, wherein the interaction object portrait belongs to the user data. The method has the advantages that the interaction strategy can be determined more intelligently and flexibly according to the characteristics of the user and the carbon reduction consumption reduction object, and the interaction strategy can be used for providing the interaction experience which meets the requirements and demands of the interaction object for the interaction object.
Optionally, the outputting the interactive content to the interactive object according to the target interactive policy includes: updating the current interaction parameters of the interaction equipment into target interaction parameters corresponding to the target interaction strategy through a preset interface, wherein the target interaction parameters are parameters related to interaction experience of the interaction object; determining to-be-processed interactive content, and processing the to-be-processed interactive content according to the interactive content parameters in the target interactive strategy to output the interactive content, wherein the interactive content parameters at least comprise priorities of the interactive content of different topics in the to-be-processed interactive content. The method has the advantages that the interaction parameters are updated and the interaction content to be processed is processed by utilizing the target interaction strategy, so that the interaction system can dynamically adjust the interaction experience according to the characteristics of the interaction object and the carbon reduction consumption reduction object.
As shown in fig. 3, the interaction method based on carbon reduction and consumption reduction provided by the second embodiment of the invention specifically includes the following steps:
s201, preprocessing the energy carbon data to obtain data to be processed.
Specifically, since the collected raw data may include noise, missing values, or inconsistent partial data, the collected carbon-capable data may be subjected to data preprocessing to obtain data to be processed. The data preprocessing includes removing duplicate data, processing missing values, processing outliers, data consistency processing, correcting erroneous data, etc., to ensure the quality and accuracy of the data. Preprocessing may be accomplished by using a data tool (e.g., pandas toolkit) or writing custom data processing functions, etc.
S202, processing data to be processed by using a preset feature selection algorithm, and performing at least one of feature dimension reduction and feature combination on the processed data to be processed to obtain a first carbon reduction consumption reduction object feature and a first target user feature.
Specifically, a preset feature selection algorithm, such as feature statistics, text feature extraction, time sequence feature extraction, and the like, may be used to extract data features from the data to be processed. For data features with higher dimensions (i.e., higher finesse), a dimension reduction method may be used to reduce them to data features with lower dimensions, such as "industry-manufacturing-automotive-new energy automotive" to "new energy automotive". In addition, a plurality of data features can be combined in a feature combination mode to extract data features with higher dimensionality.
Optionally, before the data to be processed is processed by using the preset feature selection algorithm to obtain the first carbon reduction and consumption reduction object feature and the first target user feature, the method further includes: if the fact that the interactive object has the historical target interaction strategy is determined, extracting features associated with the historical interaction strategy from the data to be processed by using a preset feature selection algorithm to obtain second carbon reduction consumption reduction object features and second target user features. The method has the advantage that for the interactive objects which have interacted, the interaction efficiency is improved by extracting the characteristics associated with the historical interaction strategy from the data to be processed.
Specifically, if the current interaction object interacts with the interaction device and the target interaction policy is determined, that is, the history target interaction policy exists, a preset feature selection algorithm, such as variance selection and mutual information, can be utilized to extract features associated with the history interaction policy from the data to be processed, so as to obtain (second) carbon reduction consumption reduction object features and (second) target user features. The method comprises the steps of obtaining basic information of an interactive object, such as the name and position of the interactive object, and/or obtaining basic information of a carbon reduction and consumption reduction object, such as the name of the carbon reduction and consumption reduction object, so as to determine whether the current interactive object is interacted with the interactive device.
S203, performing feature prediction on the carbon reduction and consumption reduction object and/or the target user by using a feature prediction algorithm and the acquired data to obtain a third carbon reduction and consumption reduction object feature and a third target user feature.
S204, performing feature coding on the carbon reduction consumption reduction object features and the target user features to obtain coding features.
The target user features comprise a first target user feature and a second target user feature.
S205, marking the coding features by using preset labels, and storing the marked coding features and/or the marked carbon data into a preset database.
S206, matching the characteristics of the carbon reduction and consumption reduction object and the characteristics of the target user with characteristic conditions in a plurality of preset interaction strategies by utilizing an artificial intelligence algorithm to obtain a matching result.
Specifically, the characteristic condition matching of the carbon reduction and consumption reduction object and the characteristic condition in the preset interaction strategy can be judged by utilizing artificial intelligent algorithms such as logic judgment, machine learning algorithms (such as decision trees, rule engines and the like) and rule matching algorithms, or mixed use of the algorithms and the like.
S207, determining a target interaction strategy according to at least one of the matching result and the interaction object portrait, the priority of a preset interaction strategy and the carbon reduction and consumption reduction objects.
Wherein the interactive object representation belongs to the user data.
Specifically, when the number of the preset interaction strategies matched in the matching result is multiple, the preset interaction strategy adapted to the carbon reduction consumption reduction object and/or the interaction object portrait can be determined as the target interaction strategy. When the number of the preset interaction strategies matched in the matching result is multiple, the preset interaction strategy with the highest priority of the matching result can be determined to be the target interaction strategy. The interactive object portraits may include, among other things, user awareness, user profiles, user preferences (tendencies), user roles, etc.
Optionally, the steps further include: and updating the target interaction strategy and/or the preset interaction strategy by using at least one of the received interaction behavior data of the interaction object, the updated carbon reduction consumption reduction object characteristics and the updated target user characteristics. The method has the advantages that the target interaction strategy and/or the preset interaction strategy can be updated in real time, and the interaction experience of the interaction object is further ensured.
Specifically, the target interaction strategy can be updated automatically or manually according to at least one of the received interaction behavior data of the interaction object in the interaction process, the updated carbon reduction and consumption reduction object characteristics and the updated target user characteristics. For example, an administrator or related personnel may be allowed to update the preset interaction policy and/or the target interaction policy through an interface or tool, such as allowing operations of adding, deleting, editing, etc. of the policy. If the difference between the updated carbon reduction and consumption reduction object features and the pre-updated carbon reduction and consumption reduction object features meets a preset condition, if the difference is large enough, and/or if the difference between the updated target user features and the pre-updated target user features meets the preset condition, the target interaction strategy and/or the preset interaction strategy can be updated. After updating the preset interaction policy and/or the target interaction policy, it is necessary to ensure that a new preset interaction policy and/or target interaction policy can be validated in the interaction device. Wherein the database may be used to store and manage preset interaction strategies, and machine learning algorithms and models may also be used to automatically learn and optimize preset interaction strategies.
S208, updating the current interaction parameters of the interaction equipment into target interaction parameters corresponding to the target interaction strategy through a preset interface.
Wherein the target interaction parameter is a parameter associated with an interaction experience of the interaction object.
Specifically, the interaction parameters may be preset. The interaction parameters may include parameters that are adjustable and associated with the interaction experience of the interaction object, such as interaction speed, volume, brightness, interaction tempo, interaction tendencies, interaction theory, and interaction style. The target interaction strategy can be matched with the preset interaction parameters, and the target interaction parameters can be obtained. The current interaction parameters of the interaction device can be updated to target interaction parameters through a preset interface
S209, determining the interaction content to be processed, and processing the interaction content to be processed according to the interaction content parameters in the target interaction strategy so as to output the interaction content.
The interactive content parameters at least comprise priorities of interactive contents of different topics in the interactive contents to be processed.
Specifically, model parameters, such as a threshold, a weight, a learning rate, and the like, used for generating the to-be-processed interactive content in the interactive content parameters can be adjusted and determined according to the data, such as the interactive problem, output by the interactive object. With this model, the model parameters can be optimized by manual adjustment or using an automatic parameter tuning algorithm, which can be grid search, random search, etc., and the optimal parameter configuration can be found by trying different parameter combinations. Interactive contents may be understood as information output when interacting with an interactive object, such as recommended results and suggestions. The interactive content to be processed can be optimized according to the interactive content parameters in the target interactive strategy, such as the priority of the interactive content of different topics, the preference of the user, the object of reducing carbon and consumption, and the like, or according to the change of the current environment. The interactive content is obtained and output by deleting and coloring the interactive content to be processed. For example, the industry related content can be added to the interactive content to be processed according to the industry of the carbon reduction consumption reduction object so as to obtain the interactive content. Such as adjusting images in the interactive contents to be processed according to the change of the current environment. The interactive content to be processed can also be generated by using the technologies such as a text generation algorithm, a recommendation algorithm, information filtering and the like. For example, natural language processing techniques may be used to generate the interactive content to be processed. The interactive contents can be output through interfaces, sound playing, image display and the like. The form of the interactive content can comprise text, images, audio, video and the like, and the interactive content can comprise self-introduction of an interactive system, industry attributes of carbon reduction and consumption reduction objects (such as industries of automobile industry, real estate industry and the like), business process introduction, scheme introduction, economic value of the scheme and the like.
Optionally, the steps further include: and updating the target interaction parameters and/or the interaction content parameters by using at least one of the received interaction behavior data of the interaction objects, the updated carbon reduction consumption reduction object characteristics and the updated target user characteristics. The advantage of this arrangement is that it is more efficient to interact with the interactive object and allows the interactive object to obtain a more accurate and high quality interactive content.
Specifically, by continuously collecting the interaction behavior data of the interaction object and continuously updating the carbon reduction consumption reduction object characteristics and the target user characteristics, the target interaction parameters and/or the interaction content parameters can be dynamically adjusted in real-time interaction. If the difference between the updated carbon reduction and consumption reduction object features and the pre-updated carbon reduction and consumption reduction object features meets the preset condition, if the difference is large enough, and/or if the difference between the updated target user features and the pre-updated target user features meets the preset condition, the target interaction parameters and/or the interaction content parameters can be updated. It is also possible to determine which parameters or content user satisfaction is higher by applying different interaction parameters and/or interaction content to different user groups and collecting the comparison results, and to adjust the interaction parameters and/or interaction content according to the comparison results. Interactive content may also be optimized using artificial intelligence algorithms and natural language processing techniques, with real-time data stream processing techniques for real-time interaction and dynamic adjustment.
According to the interaction method based on carbon reduction and consumption reduction, through multiple processing of the carbon-capable data, the quality and accuracy of the data are guaranteed, the more accurate and higher-level carbon reduction and consumption reduction object characteristics and target user characteristics can be extracted, the interaction strategy is determined more intelligently and flexibly according to the characteristics of the user and the carbon reduction and consumption reduction object, the interaction strategy can be utilized to provide interaction experience which meets the expected and required interaction object better for the interaction object, and the interaction parameters are updated and the interaction content to be processed is processed through utilizing the target interaction strategy, so that the interaction system can dynamically adjust the interaction experience according to the characteristics of the interaction object and the carbon reduction and consumption reduction object.
Example III
Fig. 4 is a schematic structural diagram of an interaction device based on carbon reduction and consumption reduction according to a third embodiment of the present invention. As shown in fig. 4, the apparatus includes: a feature determination module 301, an interaction policy determination module 302, and an interaction module 303, wherein:
the characteristic determining module is used for determining the characteristics of the carbon reduction and consumption reduction object and the characteristics of the target user by utilizing a characteristic prediction algorithm and/or carbon energy data, wherein the carbon energy data comprises the object data of the carbon reduction and consumption reduction object and/or the user data of the target user associated with the carbon reduction and consumption reduction object;
The interaction strategy determining module is used for matching the carbon reduction consumption reduction object characteristics and the target user characteristics with a plurality of preset interaction strategies to obtain a target interaction strategy;
and the interaction module is used for outputting interaction content to the interaction object according to the target interaction strategy.
According to the interaction device based on carbon reduction and consumption reduction, the data of the carbon reduction and consumption reduction object and the target user are continuously acquired through interaction and data acquisition, the interaction object and the homomorphic interaction object can be well understood by utilizing the feature extraction of the data, the extracted features are matched with the preset interaction strategy, the personalized interaction strategy aiming at different carbon reduction and consumption reduction objects and target users can be obtained, and the interaction experience which meets the user expectations and requirements can be provided by interacting with the interaction object according to the interaction strategy.
Optionally, the feature determining module includes:
the data processing unit is used for preprocessing the carbon data to obtain data to be processed;
the first feature determining unit is used for processing the data to be processed by using a preset feature selection algorithm, and performing at least one of feature dimension reduction and feature combination on the processed data to be processed to obtain a first carbon reduction consumption reduction object feature and a first target user feature.
Optionally, before the data to be processed is processed by using the preset feature selection algorithm to obtain the first carbon reduction and consumption reduction object feature and the first target user feature, the method further includes: if the fact that the interactive object has the historical target interaction strategy is determined, extracting features associated with the historical interaction strategy from the data to be processed by using a preset feature selection algorithm to obtain second carbon reduction consumption reduction object features and second target user features.
Optionally, the feature determining module further includes:
and the second feature determining unit is used for carrying out feature prediction on the carbon reduction and consumption reduction object and/or the target user by utilizing a feature prediction algorithm and acquired data to obtain a third carbon reduction and consumption reduction object feature and a third target user feature.
Optionally, the apparatus further comprises:
the coding module is used for carrying out feature coding on the carbon reduction consumption reduction object features and the target user features after the carbon reduction consumption reduction object features and the target user features are determined by utilizing a feature prediction algorithm and/or the carbon energy data, so as to obtain coding features;
and the data storage module is used for marking the coding features by using preset labels and storing the marked coding features and/or the carbon-energy data into a preset database.
Optionally, the interaction policy determining module includes:
the matching unit is used for matching the carbon reduction consumption reduction object characteristics and the target user characteristics with characteristic conditions in a plurality of preset interaction strategies by utilizing an artificial intelligent algorithm to obtain a matching result;
and the strategy determining unit is used for determining a target interaction strategy according to the matching result and at least one of the interaction object portrait, the priority of the preset interaction strategy and the carbon reduction and consumption reduction object, wherein the interaction object portrait belongs to the user data.
Optionally, the interaction policy determining module further includes:
and the strategy updating unit is used for updating the target interaction strategy and/or the preset interaction strategy by utilizing at least one of the received interaction behavior data of the interaction object, the updated carbon reduction and consumption reduction object characteristics and the updated target user characteristics.
Optionally, the interaction module includes:
the interactive parameter updating unit is used for updating the current interactive parameter of the interactive device into a target interactive parameter corresponding to the target interactive strategy through a preset interface, wherein the target interactive parameter is a parameter related to the interactive experience sense of the interactive object;
And the interactive content output unit is used for determining the interactive content to be processed, processing the interactive content to be processed according to the interactive content parameters in the target interactive strategy so as to output the interactive content, wherein the interactive content parameters at least comprise the priorities of the interactive contents of different topics in the interactive content to be processed.
Optionally, the interaction module further includes:
and the parameter updating unit is used for updating the target interaction parameters and/or the interaction content parameters by utilizing at least one of the received interaction behavior data of the interaction object, the updated carbon reduction and consumption reduction object characteristics and the updated target user characteristics.
The interaction device based on carbon reduction and consumption reduction provided by the embodiment of the invention can execute the interaction method based on carbon reduction and consumption reduction provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example IV
Fig. 5 shows a schematic diagram of an electronic device 40 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 5, the electronic device 40 includes at least one processor 41, and a memory communicatively connected to the at least one processor 41, such as a Read Only Memory (ROM) 42, a Random Access Memory (RAM) 43, etc., in which the memory stores a computer program executable by the at least one processor, and the processor 41 may perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM) 42 or the computer program loaded from the storage unit 48 into the Random Access Memory (RAM) 43. In the RAM 43, various programs and data required for the operation of the electronic device 40 may also be stored. The processor 41, the ROM 42 and the RAM 43 are connected to each other via a bus 44. An input/output (I/O) interface 45 is also connected to bus 44.
Various components in electronic device 40 are connected to I/O interface 45, including: an input unit 46 such as a keyboard, a mouse, etc.; an output unit 47 such as various types of displays, speakers, and the like; a storage unit 48 such as a magnetic disk, an optical disk, or the like; and a communication unit 49 such as a network card, modem, wireless communication transceiver, etc. The communication unit 49 allows the electronic device 40 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 41 may be various general and/or special purpose processing components with processing and computing capabilities. Some examples of processor 41 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 41 performs the various methods and processes described above, such as the interactive method based on carbon reduction and consumption reduction.
In some embodiments, the carbon reduction and consumption reduction based interaction method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 48. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 40 via the ROM 42 and/or the communication unit 49. When the computer program is loaded into RAM 43 and executed by processor 41, one or more steps of the above-described carbon reduction and consumption reduction based interaction method may be performed. Alternatively, in other embodiments, processor 41 may be configured to perform the carbon reduction-based consumption-reduction interaction method in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
The computer equipment provided by the invention can be used for executing the interaction method based on carbon reduction and consumption reduction provided by any embodiment, and has corresponding functions and beneficial effects.
Example five
In the context of the present invention, a computer-readable storage medium may be a tangible medium, which when executed by a computer processor, is configured to perform a carbon reduction and consumption reduction based interactive method, the method comprising:
determining the characteristics of the carbon reduction and consumption reduction object and the characteristics of the target user by utilizing a characteristic prediction algorithm and/or carbon energy data, wherein the carbon energy data comprises the object data of the carbon reduction and consumption reduction object and/or the user data of the target user associated with the carbon reduction and consumption reduction object;
matching the carbon reduction consumption reduction object characteristics and the target user characteristics with a plurality of preset interaction strategies to obtain a target interaction strategy;
and outputting the interactive content to the interactive object according to the target interactive strategy.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer equipment provided by the invention can be used for executing the interaction method based on carbon reduction and consumption reduction provided by any embodiment, and has corresponding functions and beneficial effects.
It should be noted that, in the embodiment of the interaction device based on carbon reduction and consumption reduction, each included unit and module are only divided according to the functional logic, but not limited to the above-mentioned division, so long as the corresponding functions can be realized; in addition, the specific names of the functional units are also only for distinguishing from each other, and are not used to limit the protection scope of the present invention.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (12)
1. An interaction method based on carbon reduction and consumption reduction is characterized by comprising the following steps:
determining the characteristics of the carbon reduction and consumption reduction object and the characteristics of the target user by utilizing a characteristic prediction algorithm and/or carbon energy data, wherein the carbon energy data comprises the object data of the carbon reduction and consumption reduction object and/or the user data of the target user associated with the carbon reduction and consumption reduction object;
matching the carbon reduction consumption reduction object characteristics and the target user characteristics with a plurality of preset interaction strategies to obtain a target interaction strategy;
and outputting the interactive content to the interactive object according to the target interactive strategy.
2. The method of claim 1, wherein determining the carbon reduction and consumption reduction object features and the target user features using the energy carbon data comprises:
preprocessing energy carbon data to obtain data to be processed;
and processing the data to be processed by using a preset feature selection algorithm, and performing at least one of feature dimension reduction and feature combination on the processed data to be processed to obtain a first carbon reduction consumption reduction object feature and a first target user feature.
3. The method of claim 2, further comprising, prior to said processing said data to be processed using a predetermined feature selection algorithm to obtain a first carbon reduction and consumption reduction object feature and a first target user feature:
If the fact that the interactive object has the historical target interaction strategy is determined, extracting features associated with the historical interaction strategy from the data to be processed by using a preset feature selection algorithm to obtain second carbon reduction consumption reduction object features and second target user features.
4. The method of claim 1, wherein determining the carbon reduction and consumption reduction object features and the target user features using a feature prediction algorithm comprises:
and carrying out feature prediction on the carbon reduction and consumption reduction object and/or the target user by using a feature prediction algorithm and acquired data to obtain a third carbon reduction and consumption reduction object feature and a third target user feature.
5. The method of claim 1, further comprising, after determining the carbon reduction and consumption reduction object features and the target user features using the feature prediction algorithm and/or the carbon enabled data:
performing feature coding on the carbon reduction consumption reduction object features and the target user features to obtain coding features;
and marking the coding features by using a preset label, and storing the marked coding features and/or the carbon-energy data into a preset database.
6. The method of claim 1, wherein the matching the carbon reduction and consumption reduction object features and the target user features with a plurality of preset interaction strategies to obtain a target interaction strategy comprises:
Matching the carbon reduction consumption reduction object characteristics and the target user characteristics with characteristic conditions in a plurality of preset interaction strategies by using an artificial intelligence algorithm to obtain a matching result;
and determining a target interaction strategy according to the matching result and at least one of the interaction object portrait, the priority of the preset interaction strategy and the carbon reduction and consumption reduction objects, wherein the interaction object portrait belongs to the user data.
7. The method as recited in claim 6, further comprising:
and updating the target interaction strategy and/or the preset interaction strategy by using at least one of the received interaction behavior data of the interaction object, the updated carbon reduction consumption reduction object characteristics and the updated target user characteristics.
8. The method of claim 1, wherein outputting the interactive content to the interactive object according to the target interaction policy comprises:
updating the current interaction parameters of the interaction equipment into target interaction parameters corresponding to the target interaction strategy through a preset interface, wherein the target interaction parameters are parameters related to interaction experience of the interaction object;
Determining to-be-processed interactive content, and processing the to-be-processed interactive content according to the interactive content parameters in the target interactive strategy to output the interactive content, wherein the interactive content parameters at least comprise priorities of the interactive content of different topics in the to-be-processed interactive content.
9. The method as recited in claim 8, further comprising:
and updating the target interaction parameters and/or the interaction content parameters by using at least one of the received interaction behavior data of the interaction objects, the updated carbon reduction consumption reduction object characteristics and the updated target user characteristics.
10. An interactive device based on carbon reduction and consumption reduction is characterized by comprising:
the characteristic determining module is used for determining the characteristics of the carbon reduction and consumption reduction object and the characteristics of the target user by utilizing a characteristic prediction algorithm and/or carbon energy data, wherein the carbon energy data comprises the object data of the carbon reduction and consumption reduction object and/or the user data of the target user associated with the carbon reduction and consumption reduction object;
the interaction strategy determining module is used for matching the carbon reduction consumption reduction object characteristics and the target user characteristics with a plurality of preset interaction strategies to obtain a target interaction strategy;
And the interaction module is used for outputting interaction content to the interaction object according to the target interaction strategy.
11. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the carbon reduction and consumption reduction based interaction method of any one of claims 1-9.
12. A computer readable storage medium, characterized in that it stores computer instructions for causing a processor to implement the interaction method based on carbon reduction and consumption reduction according to any one of claims 1-9 when executed.
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