CN117495142A - Enterprise water treatment scheme recommendation method and system - Google Patents
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Abstract
An enterprise water treatment scheme recommending method and system relate to the technical field of water treatment. In the method, basic information of enterprises corresponding to the enterprises and scheme information corresponding to a water treatment scheme are acquired; based on the scheme information, determining a plurality of stage scheme information corresponding to each water treatment stage; extracting corresponding stage scheme features from each stage scheme information; setting a plurality of enterprise water treatment labels based on the enterprise basic information; determining a plurality of business water treatment characteristics based on a plurality of the business water treatment tags; and determining a water treatment recommended scheme corresponding to each water treatment stage based on the plurality of enterprise water treatment characteristics and the plurality of stage scheme characteristics. By implementing the technical scheme, the water treatment scheme suitable for the actual conditions of the enterprises can be recommended based on the actual conditions of the enterprises.
Description
Technical Field
The application relates to the technical field of water treatment, in particular to an enterprise water treatment scheme recommendation method and system.
Background
Enterprise water treatment refers to the process of treating water resources within an enterprise in order to meet quality standards for industrial production or discharge. Because of the variety of water treatment schemes, the effects of different water treatment schemes are often different.
When an enterprise selects a water treatment scheme, the situation that the water treatment scheme selected by the enterprise is not matched with the actual situation of the enterprise often exists, and the selected water treatment scheme cannot meet the quality standard of industrial production or emission. Therefore, how to recommend a water treatment scheme suitable for the actual situation of an enterprise based on the actual situation of the enterprise is a problem to be solved.
Therefore, there is a need for an enterprise water treatment recommendation method and system to solve the problems of the prior art.
Disclosure of Invention
The application provides a water treatment scheme recommendation method and system for enterprises, which can recommend a water treatment scheme suitable for the actual conditions of the enterprises based on the actual conditions of the enterprises.
In a first aspect, the present application provides a method for recommending an enterprise water treatment plan, the method comprising: acquiring enterprise basic information corresponding to an enterprise and scheme information corresponding to a water treatment scheme; based on the scheme information, determining a plurality of stage scheme information corresponding to each water treatment stage; extracting corresponding stage scheme features from each stage scheme information; setting a plurality of enterprise water treatment labels based on the enterprise basic information; determining a plurality of business water treatment characteristics based on a plurality of the business water treatment tags; and determining a water treatment recommended scheme corresponding to each water treatment stage based on the plurality of enterprise water treatment characteristics and the plurality of stage scheme characteristics.
By adopting the technical scheme, the basic information of the enterprise corresponding to the enterprise is acquired, so that the basic condition and the requirement of the enterprise are comprehensively known, basic data are provided for customizing the water treatment scheme, the correlation and the applicability of the water treatment scheme are ensured, and the pertinence and the practicability of the scheme are improved. And obtaining scheme information corresponding to the water treatment scheme, thereby being beneficial to accurately selecting the most suitable treatment technology from a plurality of available options and improving the overall treatment efficiency. The method comprises the steps of determining a plurality of stage scheme information corresponding to each water treatment stage, extracting corresponding stage scheme characteristics from each stage scheme information, quantifying and defining the scheme characteristics of each stage, facilitating subsequent analysis and comparison, further improving the accuracy of a matching process, and ensuring that a selected scheme most meets the requirements of a specific stage. The water treatment requirements and characteristics of the enterprises are intuitively reflected through the labels, so that the key water treatment requirements of the enterprises can be quickly identified, and a foundation is laid for a customized scheme. And the labels are converted into specific water treatment characteristics, so that scheme selection is more targeted and practical, and the recommended scheme is ensured to meet the actual demands of enterprises more accurately. Finally, the characteristics of the enterprises and the characteristics of the stage scheme are combined, and the optimal water treatment scheme is selected.
Optionally, the determining a plurality of enterprise water treatment features based on a plurality of the enterprise water treatment tags specifically includes: carrying out semantic logic analysis on a plurality of enterprise water treatment labels, and determining semantic logic corresponding to each enterprise water treatment label; acquiring a first mapping relation between the semantic logic and a preset water treatment service logic; determining the water treatment business logic corresponding to each enterprise water treatment label based on the first mapping relation; acquiring a second mapping relation between the water treatment business logic and the enterprise water treatment characteristics; and determining the enterprise water treatment characteristics corresponding to each enterprise water treatment label based on the second mapping relation.
By adopting the technical scheme, the semantic logic is converted into the water treatment service logic through the first mapping relation, and the service logic is converted into specific water treatment characteristics through the second mapping relation. Through the two-stage mapping, the water treatment label of the enterprise can be converted into specific and actual water treatment characteristics, so that the selected water treatment scheme is ensured to be matched with the actual requirements and conditions of the enterprise, and the pertinence and the practicability of the scheme are improved.
Optionally, the determining a water treatment recommended solution corresponding to each water treatment stage based on the plurality of enterprise water treatment characteristics and the plurality of stage solution characteristics specifically includes: determining a stage scheme feature set corresponding to each water treatment stage based on n water treatment stages and a plurality of stage scheme features; wherein each of the set of phase scheme features includes at least one of the phase scheme features; based on any one of the stage scheme features in each stage scheme feature set and a plurality of enterprise water treatment features, obtaining feature matching degree of any one of the stage scheme features in each stage scheme feature set and a plurality of enterprise water treatment features; determining at least one relevant stage scheme feature from the stage scheme feature set corresponding to each water treatment stage based on the feature matching degree; the feature matching degree corresponding to the related stage scheme features is larger than a preset matching degree threshold; and determining a water treatment recommended scheme corresponding to each water treatment stage based on at least one related stage scheme characteristic corresponding to each water treatment stage.
By adopting the technical scheme, the matching degree of the scheme characteristics and the enterprise water treatment characteristics is calculated, so that the scheme selection is closely related to the actual demands of enterprises, the scheme selection accuracy is improved, and the applicability and the effectiveness of the recommended scheme are ensured.
Optionally, the obtaining the feature matching degree of any one of the stage scheme features in each stage scheme feature set and the plurality of enterprise water treatment features based on any one of the stage scheme features in each stage scheme feature set and the plurality of enterprise water treatment features specifically includes: converting each phase scheme characteristic to obtain a phase scheme characteristic vector corresponding to each phase scheme characteristic; converting the enterprise water treatment characteristics to obtain enterprise water treatment characteristic vectors corresponding to the enterprise water treatment characteristics; calculating cosine similarity of the phase scheme feature vector corresponding to any one phase scheme feature in each phase scheme feature set and the enterprise water treatment feature vector corresponding to a plurality of enterprise water treatment features to obtain a plurality of similarity values; and calculating the feature matching degree of any one of the stage scheme features in each stage scheme feature set and a plurality of enterprise water treatment features based on a plurality of similarity values.
Optionally, the calculating, based on the similarity values, a feature matching degree between any one of the stage scheme features in each stage scheme feature set and the enterprise water treatment features specifically includes: calculating the feature matching degree of any one of the stage scheme features in each stage scheme feature set and a plurality of enterprise water treatment features through the following formula:wherein K is the feature matching degree, p is the number of the enterprise water treatment features, and r q For the q-th similarity value, w q And (5) the influence weight corresponding to the q-th enterprise water treatment characteristic.
Optionally, the determining, based on at least one relevant stage scheme feature corresponding to each water treatment stage, a water treatment recommended scheme corresponding to each water treatment stage specifically includes: determining initial stage scheme features from the relevant stage scheme features corresponding to a first one of the water treatment stages based on the feature matching degree; the feature matching degree corresponding to the initial stage scheme features is larger than the feature matching degree corresponding to the rest related stage scheme features; determining an intermediate stage scheme characteristic corresponding to the ith water treatment stage from at least one relevant stage scheme characteristic corresponding to the ith water treatment stage; wherein i is [2, n ]; and determining a water treatment recommended scheme corresponding to each water treatment stage based on the initial stage scheme characteristics and the water treatment recommended schemes corresponding to i intermediate stage scheme characteristics.
By adopting the technical scheme, the method and the device help ensure that the whole water treatment process starts from the scheme which meets the enterprise requirement most by selecting the scheme characteristics of the initial stage with the highest characteristic matching degree. For each subsequent water treatment stage, the consistency and effectiveness of the water treatment process is ensured by selecting the scheme features compatible with the previous stage and having high feature matching degree. Finally, the scheme characteristics of the initial stage and all the intermediate stages are comprehensively considered, so that the most suitable recommended scheme is provided for each water treatment stage.
Optionally, the determining an intermediate stage scheme feature corresponding to the ith water treatment stage from at least one relevant stage scheme feature corresponding to the ith water treatment stage specifically includes: when i is equal to 2, determining the compatibility degree of any one related stage scheme characteristic corresponding to the second water treatment stage and the first characteristic of the initial stage scheme characteristic; determining the intermediate stage plan feature corresponding to a second one of the water treatment stages from at least one of the associated stage plan features corresponding to a second one of the water treatment stages based on the first feature compatibility degree; when i is greater than 2, determining a second feature compatibility degree of any one of the related stage scheme features corresponding to the ith water treatment stage and the intermediate stage scheme features corresponding to the ith-1 water treatment stage; and determining the intermediate stage scheme characteristic corresponding to the ith water treatment stage from at least one relevant stage scheme characteristic corresponding to the ith water treatment stage based on the second characteristic compatibility degree.
By adopting the technical scheme, when i is equal to 2, the first characteristic compatibility degree between the related scheme characteristics of the second water treatment stage and the scheme characteristics of the initial stage is analyzed and determined, and the incompatibility problem of the subsequent stage can be effectively avoided by selecting the scheme highly compatible with the initial stage, so that the efficiency and effect of the whole system are improved. When i is greater than 2, for the ith water treatment stage, the consistency and consistency of the whole water treatment process are ensured by analyzing the second characteristic compatibility degree between the related scheme characteristics and the scheme characteristics of the middle stage of the previous stage (i-1 stage) and gradually confirming the compatibility of the scheme characteristics of each stage and the previous stage.
In a second aspect of the application, there is provided an enterprise water treatment scheme recommendation system, the system comprising an acquisition module, a treatment module, and a water treatment scheme determination module; the acquisition module is used for acquiring basic information of an enterprise corresponding to the enterprise and scheme information corresponding to a water treatment scheme; the processing module is used for determining a plurality of stage scheme information corresponding to each water treatment stage based on the scheme information; the processing module is further used for extracting corresponding stage scheme features from each stage scheme information; the processing module is also used for setting a plurality of enterprise water treatment labels based on the enterprise basic information; the processing module is further used for determining a plurality of enterprise water treatment characteristics based on a plurality of enterprise water treatment labels; the water treatment scheme determining module is used for determining a water treatment recommended scheme corresponding to each water treatment stage based on a plurality of enterprise water treatment characteristics and a plurality of stage scheme characteristics.
In a third aspect the present application provides an electronic device comprising a processor, a memory for storing instructions, a user interface and a network interface for communicating to other devices, the processor being arranged to execute the instructions stored in the memory to cause the electronic device to perform a method according to any one of the first aspects of the present application.
In a fourth aspect of the present application there is provided a computer readable storage medium storing a computer program capable of being loaded by a processor and performing a method according to any one of the first aspects of the present application.
In summary, one or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:
1. basic information of an enterprise corresponding to the enterprise is obtained to comprehensively understand basic conditions and requirements of the enterprise, basic data are provided for customizing a water treatment scheme, so that the correlation and applicability of the water treatment scheme are ensured, and the pertinence and practicability of the scheme are improved. And obtaining scheme information corresponding to the water treatment scheme, thereby being beneficial to accurately selecting the most suitable treatment technology from a plurality of available options and improving the overall treatment efficiency. The method comprises the steps of determining a plurality of stage scheme information corresponding to each water treatment stage, extracting corresponding stage scheme characteristics from each stage scheme information, quantifying and defining the scheme characteristics of each stage, facilitating subsequent analysis and comparison, further improving the accuracy of a matching process, and ensuring that a selected scheme most meets the requirements of a specific stage. The water treatment requirements and characteristics of the enterprises are intuitively reflected through the labels, so that the key water treatment requirements of the enterprises can be quickly identified, and a foundation is laid for a customized scheme. And the labels are converted into specific water treatment characteristics, so that scheme selection is more targeted and practical, and the recommended scheme is ensured to meet the actual demands of enterprises more accurately. Finally, the characteristics of the enterprises and the characteristics of the stage scheme are combined, and the optimal water treatment scheme is selected.
2. The semantic logic is converted into water treatment service logic through the first mapping relation, and the service logic is converted into specific water treatment characteristics through the second mapping relation. Through the two-stage mapping, the water treatment label of the enterprise can be converted into specific and actual water treatment characteristics, so that the selected water treatment scheme is ensured to be matched with the actual requirements and conditions of the enterprise, and the pertinence and the practicability of the scheme are improved.
3. By selecting the initial stage scheme features with the highest feature matching degree, the whole water treatment process is ensured to start from the scheme which meets the requirements of enterprises. For each subsequent water treatment stage, the consistency and effectiveness of the water treatment process is ensured by selecting the scheme features compatible with the previous stage and having high feature matching degree. Finally, the scheme characteristics of the initial stage and all the intermediate stages are comprehensively considered, so that the most suitable recommended scheme is provided for each water treatment stage.
4. When i is equal to 2, by analyzing and determining the first feature compatibility degree between the related scheme features of the second water treatment stage and the scheme features of the initial stage, the incompatibility problem of the subsequent stage can be effectively avoided by selecting a scheme highly compatible with the initial stage, thereby improving the efficiency and effect of the whole system. When i is greater than 2, for the ith water treatment stage, the consistency and consistency of the whole water treatment process are ensured by analyzing the second characteristic compatibility degree between the related scheme characteristics and the scheme characteristics of the middle stage of the previous stage (i-1 stage) and gradually confirming the compatibility of the scheme characteristics of each stage and the previous stage.
Drawings
FIG. 1 is a schematic flow chart of an enterprise water treatment scheme recommendation method according to an embodiment of the present application;
FIG. 2 is a second flow chart of an enterprise water treatment scheme recommendation method according to an embodiment of the present application;
FIG. 3 is a third flow chart of an enterprise water treatment scheme recommendation method according to an embodiment of the present disclosure;
FIG. 4 is a schematic structural diagram of an enterprise water treatment recommendation system according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Reference numerals illustrate: 1. an acquisition module; 2. a processing module; 3. a water treatment regimen determination module; 500. an electronic device; 501. a processor; 502. a communication bus; 503. a user interface; 504. a network interface; 505. a memory.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only some embodiments of the present application, but not all embodiments.
In the description of embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described herein as "such as" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "or" for example "is intended to present related concepts in a concrete fashion.
In the description of the embodiments of the present application, the term "plurality" means two or more. For example, a plurality of systems means two or more systems, and a plurality of screen terminals means two or more screen terminals. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating an indicated technical feature. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.
The application provides an enterprise water treatment scheme recommendation method, and referring to fig. 1, one of flow diagrams of the enterprise water treatment scheme recommendation method provided by the embodiment of the application is shown. The method comprises the steps S1-S6, wherein the steps are as follows: step S1: and acquiring enterprise basic information corresponding to the enterprise and scheme information corresponding to the water treatment scheme.
Specifically, in the technical scheme, a server acquires basic information of an enterprise corresponding to the enterprise and scheme information corresponding to a water treatment scheme.
The basic information of the enterprise includes, but is not limited to, enterprise type, scale, geographic location, water usage, water source type and the like. The solution information corresponding to the water treatment solution includes, but is not limited to, information such as technology type, treatment method, equipment technical requirement, energy consumption, economic cost, etc.
Step S2: based on the scheme information, a plurality of stage scheme information corresponding to each water treatment stage is determined.
Specifically, in the present technical solution, the server determines a plurality of stage plan information corresponding to each water treatment stage based on the plan information.
Before determining the multiple stage scheme information corresponding to each water treatment stage, the overall water treatment process needs to be segmented according to the treatment flow, such as a pretreatment stage, a primary treatment stage, a secondary treatment stage, a tertiary treatment stage and the like. The water treatment stages of the whole water treatment process are divided, so that when the water treatment scheme of an enterprise is recommended, the water treatment scheme is recommended according to each water treatment stage, and therefore, the method and the technology which are most suitable for removing specific pollutants are used in each water treatment stage, and the efficiency and the effect of the whole water treatment of the enterprise are improved. Thus, to achieve different treatment effects for different water treatment stages, each water treatment stage comprises at least one water treatment regimen.
After determining each water treatment stage, the server will determine a plurality of stage plan information corresponding to each water treatment stage based on the plan information.
Step S3: and extracting corresponding stage scheme characteristics from the stage scheme information.
Specifically, in the present technical solution, the server extracts the corresponding phase solution feature from each phase solution information. Wherein, the stage scheme features are feature keywords which can most represent the stage scheme content.
For example, the stage scheme characteristics corresponding to the pretreatment stage may be coarse filtration and precipitation; the stage scheme characteristics corresponding to the primary treatment stage can be flocculation, precipitation and floatation; the stage scheme characteristics corresponding to the secondary treatment stage can be biological treatment and aeration; the stage scheme corresponding to the three-stage treatment stage can be characterized by filtering, sterilizing and the like.
It should be noted that the above stage scheme features are only exemplary, and the stage scheme features corresponding to the actual water treatment stages are extracted according to the actual stage scheme information of the water treatment stages.
Step S4: based on the basic information of the enterprises, a plurality of enterprise water treatment labels are set.
Specifically, in the present technical solution, the server sets a plurality of enterprise water treatment tags based on the enterprise basic information. That is, the server sets a plurality of enterprise water treatment tags based on information such as enterprise type, scale, geographical location, water usage, water source type, etc. of the enterprise.
The enterprise water treatment label is preset by a professional water treatment scheme designer. The enterprise water treatment label is a keyword which can most reflect the water treatment requirement of an enterprise, for example, the enterprise water treatment label of a certain enterprise can be a high water consumption enterprise, a water resource recovery enterprise, a cost sensitive enterprise and the like.
It should also be noted that the above enterprise water treatment labels are merely exemplary, and that actual enterprise water treatment labels need to be specifically set by a professional water treatment program designer.
Step S5: a plurality of business water treatment characteristics is determined based on the plurality of business water treatment tags.
Specifically, in the present solution, the server determines a plurality of enterprise water treatment characteristics based on a plurality of enterprise water treatment tags. I.e., the server converts the enterprise water treatment tag into specific water treatment features. For example, converting "high water-consuming business" labels to "large-scale water treatment facilities needed" features.
The following examples will specifically illustrate a method of determining a plurality of business water treatment characteristics based on a plurality of business water treatment tags.
In one possible implementation, step S5 specifically includes the following steps:
And carrying out semantic logic analysis on the enterprise water treatment labels to determine the semantic logic corresponding to each enterprise water treatment label.
Specifically, in the technical scheme, the server performs semantic logic analysis on a plurality of enterprise water treatment tags, and determines semantic logic corresponding to each enterprise water treatment tag. The meaning of the semantic logic corresponding to the enterprise water treatment label is as follows: the water treatment activity of the tag on the business means what. For example, for a "high water-consuming enterprise," the corresponding semantic logic may be "the enterprise consumes a significant amount of water resources during its production process or daily operations.
And acquiring a first mapping relation between the semantic logic and the preset water treatment business logic.
Specifically, in the technical scheme, a server acquires a first mapping relation between semantic logic and preset water treatment business logic.
In a database of the server, a large number of semantic logics and preset water treatment service logics are stored, wherein each semantic logic and one water treatment service logic have a direct mapping relationship, namely a first mapping relationship. This first mapping is to relate the general meaning of the semantic logic to specific water treatment business activities.
And determining water treatment business logic corresponding to each enterprise water treatment label based on the first mapping relation.
Specifically, in the technical scheme, the server determines water treatment business logic corresponding to each enterprise water treatment label based on the first mapping relation.
In the above example, when the semantic logic is "the enterprise consumes a large amount of water resources in its production process or daily operation", the water treatment business logic having the first mapping relationship may be "efficient water resource management and reuse".
And obtaining a second mapping relation between the water treatment business logic and the enterprise water treatment characteristics.
Specifically, in the technical scheme, the server acquires a second mapping relation between water treatment business logic and enterprise water treatment characteristics.
In the database of the server, a plurality of enterprise water treatment features are also stored, wherein each water treatment business logic has a direct mapping relationship with one enterprise water treatment feature, namely a second mapping relationship. This second mapping is a feature that converts business logic into a more specific operational and policy level.
And determining the enterprise water treatment characteristics corresponding to each enterprise water treatment label based on the second mapping relation.
Specifically, in the technical scheme, the server determines the enterprise water treatment characteristics corresponding to the enterprise water treatment tags based on the second mapping relation.
In the above example, when the water treatment business logic is "efficient water resource management and reuse", the enterprise water treatment feature having the second mapping relationship may be a "large-scale water treatment facilities needed" feature. Further, the conversion of the characteristics of the 'large-scale water treatment facilities required' obtained from the 'high water consumption enterprises' label in the step S5 is completed.
Step S6: based on the plurality of enterprise water treatment characteristics and the plurality of stage scheme characteristics, a water treatment recommended scheme corresponding to each water treatment stage is determined.
Specifically, in the technical scheme, the server determines a water treatment recommended scheme corresponding to each water treatment stage based on a plurality of enterprise water treatment characteristics and a plurality of stage scheme characteristics.
In the database of the server, a plurality of water treatment recommended schemes corresponding to the respective water treatment stages are stored. The server determines the most appropriate water treatment recommended plan corresponding to each water treatment stage from a plurality of water treatment recommended plans corresponding to each water treatment stage based on the plurality of enterprise water treatment characteristics and the plurality of stage plan characteristics.
The following examples will describe in detail the method by which the server determines water treatment recommendations for each water treatment stage based on a plurality of enterprise water treatment characteristics and a plurality of stage plan characteristics.
In one possible implementation, referring to fig. 2, a second flow chart of an enterprise water treatment scheme recommendation method provided in the embodiments of the present application is shown. The step S6 specifically comprises the steps S61-S64:
step S61: determining a stage scheme feature set corresponding to each water treatment stage based on the n water treatment stages and the plurality of stage scheme features; wherein each set of phase plan features includes at least one phase plan feature.
Specifically, in the present technical solution, the server determines a stage plan feature set corresponding to each water treatment stage based on n water treatment stages and a plurality of stage plan features. I.e. combining the scheme features of each stage into one feature set, ensuring that each set contains at least one key feature.
Step S62: and obtaining the feature matching degree of any one stage scheme feature in the scheme feature set of each stage and the water treatment features of the enterprises based on any one stage scheme feature in the scheme feature set of each stage and the water treatment features of the enterprises.
Specifically, in the technical scheme, the server calculates the feature matching degree of any one stage scheme feature in each stage scheme feature set and a plurality of enterprise water treatment features.
The following examples will specifically illustrate how to calculate the feature matching degree of any one stage scheme feature in each stage scheme feature set with a plurality of enterprise water treatment features.
In one possible implementation, step S62 specifically includes the following steps:
and converting the scheme characteristics of each stage to obtain the scheme characteristic vectors of the stages corresponding to the scheme characteristics of each stage.
Specifically, in the technical scheme, the server converts each stage scheme feature to obtain a stage scheme feature vector corresponding to each stage scheme feature.
Since the individual phase recipe features may include both numeric and non-numeric (as described herein) features. Thus, for features that are already numerical (e.g., processing capacity, power consumption), these values are directly taken as part of the feature vector. If the range and units of the numerical features are not identical, normalization or normalization processes are required to ensure that they are on the same scale. For the character of the word description, it is necessary to code the word description or to convert it into a numerical vector using word embedding technology. Finally, the processed numerical type characteristic and the converted non-numerical type characteristic are combined to form a complete characteristic vector.
It should be noted that, in performing the feature vector conversion, it is necessary to ensure that the feature vector dimensions of each stage scheme are consistent, so as to facilitate subsequent comparison and calculation.
And converting the water treatment characteristics of each enterprise to obtain enterprise water treatment characteristic vectors corresponding to the water treatment characteristics of each enterprise.
Specifically, in the technical scheme, the server converts the water treatment characteristics of each enterprise to obtain enterprise water treatment characteristic vectors corresponding to the water treatment characteristics of each enterprise.
The method for transforming the water treatment characteristics of each enterprise is the same as the method for transforming the scheme characteristics of each stage, so that redundant description is omitted here.
And calculating cosine similarity of the phase scheme feature vector corresponding to any phase scheme feature in each phase scheme feature set and the enterprise water treatment feature vector corresponding to the enterprise water treatment features to obtain a plurality of similarity values.
Specifically, in the technical scheme, the server calculates cosine similarity between a stage scheme feature vector corresponding to any stage scheme feature in each stage scheme feature set and enterprise water treatment feature vectors corresponding to a plurality of enterprise water treatment features to obtain a plurality of similarity values. The method of calculating the cosine similarity of two feature vectors is not described in detail in this application.
And calculating the feature matching degree of any one stage scheme feature in the scheme feature set of each stage and the water treatment features of the enterprises based on the similarity values.
Specifically, in the technical scheme, the server calculates and obtains the feature matching degree of any one stage scheme feature in the scheme feature set of each stage and the water treatment features of a plurality of enterprises based on a plurality of similarity values.
In one possible implementation, the feature matching degree of any one stage scheme feature in each stage scheme feature set and the plurality of enterprise water treatment features is calculated through the following formula:
wherein K is the characteristic matching degree, and p is the water treatment characteristic of the enterpriseNumber of r q For the q-th similarity value, w q And (5) the influence weight corresponding to the water treatment characteristics of the q-th enterprise.
Specifically, in the technical scheme, the influence weight w corresponding to the q-th enterprise water treatment characteristic q And (3) specifically setting the influence degree of the enterprise water treatment characteristics on the water treatment process, wherein if the influence degree of the enterprise water treatment characteristics on the water treatment process is larger, the weight is larger.
Step S63: determining at least one relevant stage scheme feature from a stage scheme feature set corresponding to each water treatment stage based on the feature matching degree; the feature matching degree corresponding to the related stage scheme features is larger than a preset matching degree threshold value.
Specifically, in the technical scheme, the server selects relevant stage scheme characteristics of relevant stage scheme characteristics with the matching degree exceeding a preset threshold value, namely the characteristics which are considered to be most relevant to the water treatment requirements of enterprises, based on the calculated characteristic matching degree.
Step S64: and determining a water treatment recommended scheme corresponding to each water treatment stage based on at least one relevant stage scheme characteristic corresponding to each water treatment stage.
Specifically, in the technical scheme, the server determines a water treatment recommended scheme corresponding to each water treatment stage based on at least one relevant stage scheme characteristic corresponding to each water treatment stage. That is, the server selects an optimal water treatment scheme from among water treatment schemes corresponding to scheme characteristics of the respective water treatment stages.
In one possible implementation, referring to fig. 3, a third flow chart of an enterprise water treatment scheme recommendation method provided in the embodiments of the present application is shown. Step S64 specifically includes steps S641-S643:
step S641: determining initial stage scheme features from the relevant stage scheme features corresponding to the first water treatment stage based on the feature matching degree; the feature matching degree corresponding to the scheme features in the initial stage is larger than the feature matching degree corresponding to the scheme features in other relevant stages.
Specifically, in the technical scheme, the server determines the initial stage scheme characteristic from the relevant stage scheme characteristics corresponding to the first water treatment stage based on the characteristic matching degree. Namely, selecting the characteristic with highest characteristic matching degree from the related scheme characteristics of the first water treatment stage as the scheme characteristic of the initial stage, and ensuring that the matching degree of the selected scheme characteristic of the initial stage is higher than that of other characteristics of the stage.
Step S642: determining an intermediate stage scheme characteristic corresponding to the ith water treatment stage from at least one relevant stage scheme characteristic corresponding to the ith water treatment stage; wherein i is [2, n ].
Specifically, in the present technical solution, the server determines an intermediate stage solution feature corresponding to the ith water treatment stage from at least one relevant stage solution feature corresponding to the ith water treatment stage. That is, the server selects an intermediate stage recipe feature corresponding to each water treatment stage from at least one relevant stage recipe feature corresponding to the second water treatment stage through the nth water treatment stage.
In one possible implementation, step S642 specifically includes the following steps:
and when i is equal to 2, determining the compatibility degree of any one relevant stage scheme characteristic corresponding to the second water treatment stage and the first characteristic of the initial stage scheme characteristic.
Specifically, in the present solution, when i is equal to 2, the server will evaluate the first feature compatibility degree between the relevant solution features of the second stage and the solution features of the initial stage. Wherein, the characteristic compatibility degree is preset by professional water treatment scheme designers.
And determining an intermediate stage scheme characteristic corresponding to the second water treatment stage from at least one relevant stage scheme characteristic corresponding to the second water treatment stage based on the first characteristic compatibility degree.
Specifically, in the present solution, the server determines, based on the first feature compatibility degree, an intermediate stage solution feature corresponding to the second water treatment stage from at least one relevant stage solution feature corresponding to the second water treatment stage. I.e. the highest compatible feature is selected as the intermediate stage solution feature of the second stage.
And when i is greater than 2, determining the second feature compatibility degree of any one of the related stage scheme features corresponding to the ith water treatment stage and the intermediate stage scheme features corresponding to the (i-1) th water treatment stage.
Specifically, in the present solution, when i is greater than 2, the server will evaluate, for each subsequent stage (i), the second feature compatibility degree between the relevant solution feature of that stage and the intermediate stage solution feature of the previous stage (i-1).
And determining an intermediate stage scheme characteristic corresponding to the ith water treatment stage from at least one relevant stage scheme characteristic corresponding to the ith water treatment stage based on the second characteristic compatibility degree.
Specifically, in the present technical solution, the server determines, based on the second feature compatibility degree, an intermediate stage solution feature corresponding to the ith water treatment stage from at least one relevant stage solution feature corresponding to the ith water treatment stage. I.e. the feature with the highest compatibility is selected as the intermediate stage scheme feature of this stage.
Step S643: and determining the water treatment recommended scheme corresponding to each water treatment stage based on the initial stage scheme characteristics and the water treatment recommended schemes corresponding to the i middle stage scheme characteristics.
In particular, in the present solution, the server will comprehensively evaluate and determine recommended solutions for each water treatment stage based on the determined initial stage solution characteristics and all intermediate stage solution characteristics to ensure that the selected solutions are compatible with each other at the technical and operational level and are consistent with the overall water treatment needs of the enterprise.
Referring to fig. 4, a schematic structural diagram of an enterprise water treatment scheme recommendation system provided in an embodiment of the present application is shown, where the system includes an acquisition module 1, a treatment module 2, and a water treatment scheme determination module 3; the acquisition module 1 is used for acquiring basic information of an enterprise corresponding to the enterprise and scheme information corresponding to a water treatment scheme; a processing module 2 for determining a plurality of stage scheme information corresponding to each water treatment stage based on the scheme information; the processing module 2 is further used for extracting corresponding stage scheme characteristics from the stage scheme information; the processing module 2 is also used for setting a plurality of enterprise water treatment labels based on the enterprise basic information; a processing module 2, further configured to determine a plurality of enterprise water treatment characteristics based on the plurality of enterprise water treatment tags; and the water treatment scheme determining module 3 is used for determining a water treatment recommended scheme corresponding to each water treatment stage based on the plurality of enterprise water treatment characteristics and the plurality of stage scheme characteristics.
In a possible implementation manner, the processing module 2 is further configured to perform semantic logic analysis on a plurality of enterprise water treatment tags, and determine semantic logic corresponding to each enterprise water treatment tag; the acquisition module 1 is further used for acquiring a first mapping relation between the semantic logic and preset water treatment business logic; the processing module 2 is further used for determining water treatment business logic corresponding to each enterprise water treatment label based on the first mapping relation; the acquisition module 1 is further used for acquiring a second mapping relation between water treatment business logic and enterprise water treatment characteristics; and the processing module 2 is further used for determining the enterprise water treatment characteristics corresponding to the enterprise water treatment labels based on the second mapping relation.
In a possible implementation manner, the water treatment scheme determining module 3 is further configured to determine a stage scheme feature set corresponding to each water treatment stage based on n water treatment stages and a plurality of stage scheme features; wherein each stage scheme feature set comprises at least one stage scheme feature; the water treatment scheme determining module 3 is further configured to obtain a feature matching degree of any one of the stage scheme features in the stage scheme feature set and the plurality of enterprise water treatment features based on any one of the stage scheme features in the stage scheme feature set and the plurality of enterprise water treatment features; the water treatment scheme determining module 3 is further configured to determine at least one relevant stage scheme feature from a stage scheme feature set corresponding to each water treatment stage based on the feature matching degree; the feature matching degree corresponding to the related stage scheme features is larger than a preset matching degree threshold value; the water treatment scheme determining module 3 is further configured to determine a water treatment recommended scheme corresponding to each water treatment stage based on at least one relevant stage scheme feature corresponding to each water treatment stage.
In a possible implementation manner, the water treatment scheme determining module 3 is further configured to convert the scheme features of each stage to obtain a stage scheme feature vector corresponding to the scheme features of each stage; the water treatment scheme determining module 3 is further used for converting the water treatment characteristics of each enterprise to obtain enterprise water treatment characteristic vectors corresponding to the water treatment characteristics of each enterprise; the water treatment scheme determining module 3 is further configured to calculate cosine similarity between a stage scheme feature vector corresponding to any one stage scheme feature in the stage scheme feature set and enterprise water treatment feature vectors corresponding to the plurality of enterprise water treatment features, so as to obtain a plurality of similarity values; the water treatment scheme determining module 3 is further configured to calculate, based on the multiple similarity values, a feature matching degree between any one of the stage scheme features in the stage scheme feature set and the multiple enterprise water treatment features.
In a possible implementation manner, the water treatment scheme determining module 3 is further configured to calculate a feature matching degree of any one of the stage scheme features in the respective stage scheme feature sets with the plurality of enterprise water treatment features by using the following formula: k=Wherein K is the feature matching degree, p is the number of water treatment features of an enterprise, and r q For the q-th similarity value, w q And (5) the influence weight corresponding to the water treatment characteristics of the q-th enterprise.
In a possible implementation manner, the water treatment scheme determining module 3 is further configured to determine an initial stage scheme feature from relevant stage scheme features corresponding to the first water treatment stage based on the feature matching degree; the feature matching degree corresponding to the scheme features in the initial stage is larger than the feature matching degree corresponding to the scheme features in other relevant stages; the water treatment scheme determining module 3 is further configured to determine an intermediate stage scheme feature corresponding to the ith water treatment stage from at least one relevant stage scheme feature corresponding to the ith water treatment stage; wherein i is [2, n ]; the water treatment scheme determining module 3 is further configured to determine a water treatment recommended scheme corresponding to each water treatment stage based on the initial stage scheme feature and the water treatment recommended schemes corresponding to the i intermediate stage scheme features.
In a possible implementation manner, the water treatment scheme determining module 3 is further configured to determine, when i is equal to 2, a degree of compatibility of any relevant stage scheme feature corresponding to the second water treatment stage with the first feature of the initial stage scheme feature; the water treatment scheme determining module 3 is further configured to determine, based on the first feature compatibility degree, an intermediate stage scheme feature corresponding to the second water treatment stage from at least one relevant stage scheme feature corresponding to the second water treatment stage; the water treatment scheme determining module 3 is further configured to determine, when i is greater than 2, a second feature compatibility degree of a scheme feature of any one relevant stage corresponding to the ith water treatment stage and a scheme feature of an intermediate stage corresponding to the i-1 th water treatment stage; the water treatment scheme determining module 3 is further configured to determine an intermediate stage scheme feature corresponding to the ith water treatment stage from at least one relevant stage scheme feature corresponding to the ith water treatment stage based on the second feature compatibility degree.
It should be noted that: in the device provided in the above embodiment, when implementing the functions thereof, only the division of the above functional modules is used as an example, in practical application, the above functional allocation may be implemented by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules, so as to implement all or part of the functions described above. In addition, the embodiments of the apparatus and the method provided in the foregoing embodiments belong to the same concept, and specific implementation processes of the embodiments of the method are detailed in the method embodiments, which are not repeated herein.
The application also discloses electronic equipment. Referring to fig. 5, fig. 5 is a schematic structural diagram of an electronic device according to the disclosure in an embodiment of the present application. The electronic device 500 may include: at least one processor 501, at least one network interface 504, a user interface 503, a memory 505, at least one communication bus 502.
Wherein a communication bus 502 is used to enable connected communications between these components.
The user interface 503 may include a Display screen (Display) and a Camera (Camera), and the optional user interface 503 may further include a standard wired interface and a standard wireless interface.
The network interface 504 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.
Wherein the processor 501 may include one or more processing cores. The processor 501 connects various parts throughout the server using various interfaces and lines, performs various functions of the server and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 505, and invoking data stored in the memory 505. Alternatively, the processor 501 may be implemented in hardware in at least one of digital signal processing (DigitalSignalProcessing, DSP), field programmable gate array (Field-ProgrammableGateArray, FPGA), and programmable logic array (ProgrammableLogicArray, PLA). The processor 501 may integrate one or a combination of several of a central processor (CentralProcessingUnit, CPU), an image processor (GraphicsProcessingUnit, GPU), a modem, etc. The CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It will be appreciated that the modem may not be integrated into the processor 501 and may be implemented by a single chip.
The memory 505 may include a random access memory (RandomAccessMemory, RAM) or a Read-only memory (rom). Optionally, the memory 505 comprises a non-transitory computer readable medium (non-transitoroompter-readabblestonemam). Memory 505 may be used to store instructions, programs, code sets, or instruction sets. The memory 505 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-described various method embodiments, etc.; the storage data area may store data or the like involved in the above respective method embodiments. The memory 505 may also optionally be at least one storage device located remotely from the processor 501. Referring to fig. 5, an operating system, a network communication module, a user interface module, and an application program may be included in the memory 505, which is a computer readable storage medium.
In the electronic device 500 shown in fig. 5, the user interface 503 is mainly used for providing an input interface for a user, and acquiring data input by the user; and the processor 501 may be configured to invoke the memory 505 to store an application program that, when executed by the one or more processors 501, causes the electronic device 500 to perform the method as in one or more of the embodiments described above. It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of action combinations, but it should be understood by those skilled in the art that the present application is not limited by the order of actions described, as some steps may be performed in other order or simultaneously in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required in the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to the related descriptions of other embodiments.
In the several embodiments provided herein, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, such as a division of units, merely a division of logic functions, and there may be additional divisions in actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some service interface, device or unit indirect coupling or communication connection, electrical or otherwise.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a memory, including several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the methods of the embodiments of the present application. And the aforementioned memory includes: various media capable of storing program codes, such as a U disk, a mobile hard disk, a magnetic disk or an optical disk.
The above are merely exemplary embodiments of the present disclosure and are not intended to limit the scope of the present disclosure. That is, equivalent changes and modifications are contemplated by the teachings of this disclosure, which fall within the scope of the present disclosure. Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure.
This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a scope and spirit of the disclosure being indicated by the claims.
Claims (10)
1. A method for recommending an enterprise water treatment scheme, the method comprising:
acquiring enterprise basic information corresponding to an enterprise and scheme information corresponding to a water treatment scheme;
based on the scheme information, determining a plurality of stage scheme information corresponding to each water treatment stage;
extracting corresponding stage scheme features from each stage scheme information;
setting a plurality of enterprise water treatment labels based on the enterprise basic information;
determining a plurality of business water treatment characteristics based on a plurality of the business water treatment tags;
and determining a water treatment recommended scheme corresponding to each water treatment stage based on the plurality of enterprise water treatment characteristics and the plurality of stage scheme characteristics.
2. The method of claim 1, wherein the determining a plurality of business water treatment characteristics based on a plurality of the business water treatment tags, comprises:
Carrying out semantic logic analysis on a plurality of enterprise water treatment labels, and determining semantic logic corresponding to each enterprise water treatment label;
acquiring a first mapping relation between the semantic logic and a preset water treatment service logic;
determining the water treatment business logic corresponding to each enterprise water treatment label based on the first mapping relation;
acquiring a second mapping relation between the water treatment business logic and the enterprise water treatment characteristics;
and determining the enterprise water treatment characteristics corresponding to each enterprise water treatment label based on the second mapping relation.
3. The method of claim 1, wherein determining a water treatment recommendation corresponding to each of the water treatment phases based on a plurality of the enterprise water treatment characteristics and a plurality of the phase plan characteristics, comprises:
determining a stage scheme feature set corresponding to each water treatment stage based on n water treatment stages and a plurality of stage scheme features; wherein each of the set of phase scheme features includes at least one of the phase scheme features;
based on any one of the stage scheme features in each stage scheme feature set and a plurality of enterprise water treatment features, obtaining feature matching degree of any one of the stage scheme features in each stage scheme feature set and a plurality of enterprise water treatment features;
Determining at least one relevant stage scheme feature from the stage scheme feature set corresponding to each water treatment stage based on the feature matching degree; the feature matching degree corresponding to the related stage scheme features is larger than a preset matching degree threshold;
and determining a water treatment recommended scheme corresponding to each water treatment stage based on at least one related stage scheme characteristic corresponding to each water treatment stage.
4. The method according to claim 3, wherein the obtaining the feature matching degree between any one of the stage plan features in each of the stage plan feature sets and the plurality of enterprise water treatment features based on any one of the stage plan features in each of the stage plan feature sets and the plurality of enterprise water treatment features specifically includes:
converting each phase scheme characteristic to obtain a phase scheme characteristic vector corresponding to each phase scheme characteristic;
converting the enterprise water treatment characteristics to obtain enterprise water treatment characteristic vectors corresponding to the enterprise water treatment characteristics;
calculating cosine similarity of the phase scheme feature vector corresponding to any one phase scheme feature in each phase scheme feature set and the enterprise water treatment feature vector corresponding to a plurality of enterprise water treatment features to obtain a plurality of similarity values;
And calculating the feature matching degree of any one of the stage scheme features in each stage scheme feature set and a plurality of enterprise water treatment features based on a plurality of similarity values.
5. The method according to claim 4, wherein the calculating, based on the similarity values, a feature matching degree between any one of the stage scheme features in each stage scheme feature set and the enterprise water treatment features specifically includes:
calculating the feature matching degree of any one of the stage scheme features in each stage scheme feature set and a plurality of enterprise water treatment features through the following formula:
wherein K is the feature matching degree, p is the number of the enterprise water treatment features, and r q For the q-th similarity value, w q And (5) the influence weight corresponding to the q-th enterprise water treatment characteristic.
6. A method according to claim 3, wherein said determining a water treatment recommendation corresponding to each of said water treatment phases based on at least one of said relevant phase plan characteristics corresponding to each of said water treatment phases, comprises:
determining initial stage scheme features from the relevant stage scheme features corresponding to a first one of the water treatment stages based on the feature matching degree; the feature matching degree corresponding to the initial stage scheme features is larger than the feature matching degree corresponding to the rest related stage scheme features;
Determining an intermediate stage scheme characteristic corresponding to the ith water treatment stage from at least one relevant stage scheme characteristic corresponding to the ith water treatment stage; wherein i is [2, n ];
and determining a water treatment recommended scheme corresponding to each water treatment stage based on the initial stage scheme characteristics and the water treatment recommended schemes corresponding to i intermediate stage scheme characteristics.
7. The method according to claim 6, wherein said determining an intermediate stage plan feature corresponding to an ith water treatment stage from at least one of said associated stage plan features corresponding to an ith water treatment stage, comprises: when i is equal to 2, determining the compatibility degree of any one related stage scheme characteristic corresponding to the second water treatment stage and the first characteristic of the initial stage scheme characteristic;
determining the intermediate stage plan feature corresponding to a second one of the water treatment stages from at least one of the associated stage plan features corresponding to a second one of the water treatment stages based on the first feature compatibility degree;
when i is greater than 2, determining a second feature compatibility degree of any one of the related stage scheme features corresponding to the ith water treatment stage and the intermediate stage scheme features corresponding to the ith-1 water treatment stage;
And determining the intermediate stage scheme characteristic corresponding to the ith water treatment stage from at least one relevant stage scheme characteristic corresponding to the ith water treatment stage based on the second characteristic compatibility degree.
8. An enterprise water treatment scheme recommendation system is characterized by comprising an acquisition module, a treatment module and a water treatment scheme determination module;
the acquisition module is used for acquiring basic information of an enterprise corresponding to the enterprise and scheme information corresponding to a water treatment scheme;
the processing module is used for determining a plurality of stage scheme information corresponding to each water treatment stage based on the scheme information;
the processing module is further used for extracting corresponding stage scheme features from each stage scheme information;
the processing module is also used for setting a plurality of enterprise water treatment labels based on the enterprise basic information;
the processing module is further used for determining a plurality of enterprise water treatment characteristics based on a plurality of enterprise water treatment labels;
the water treatment scheme determining module is used for determining a water treatment recommended scheme corresponding to each water treatment stage based on a plurality of enterprise water treatment characteristics and a plurality of stage scheme characteristics.
9. An electronic device comprising a processor (501), a memory (505), a user interface (503) and a network interface (504), the memory (505) for storing instructions, the user interface (503) and the network interface (504) for communicating to other devices, the processor (501) for executing the instructions stored in the memory (505) to cause the electronic device (500) to perform the method according to any of claims 1-7.
10. A computer readable storage medium storing instructions which, when executed, perform the method of any one of claims 1-7.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106865912A (en) * | 2017-04-11 | 2017-06-20 | 盐城工学院 | Sewage treatment control method and system |
| CN111831909A (en) * | 2020-07-08 | 2020-10-27 | 江苏神彩科技股份有限公司 | Environment-friendly information processing method and device, electronic equipment and storage medium |
| CN112487161A (en) * | 2020-11-26 | 2021-03-12 | 北京智源人工智能研究院 | Enterprise demand oriented expert recommendation method, device, medium and equipment |
| WO2021139701A1 (en) * | 2020-01-06 | 2021-07-15 | 宇龙计算机通信科技(深圳)有限公司 | Application recommendation method and apparatus, storage medium and electronic device |
| CN113296480A (en) * | 2021-01-14 | 2021-08-24 | 阿里巴巴集团控股有限公司 | Water treatment method, system, equipment and storage medium |
| CN114186024A (en) * | 2021-12-14 | 2022-03-15 | 中国建设银行股份有限公司 | Recommendation method and device |
| WO2023061087A1 (en) * | 2021-10-12 | 2023-04-20 | 腾讯科技（深圳）有限公司 | Information recommendation method and apparatus, and electronic device, computer-readable storage medium and computer program product |
| CN116266433A (en) * | 2021-12-17 | 2023-06-20 | 中国石油化工股份有限公司 | Scene construction method, system and desktop exercise method |
| CN116993237A (en) * | 2023-09-21 | 2023-11-03 | 北京上奇数字科技有限公司 | Enterprise recommendation method and system based on cosine similarity algorithm |
-
2023
- 2023-11-18 CN CN202311544243.7A patent/CN117495142A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106865912A (en) * | 2017-04-11 | 2017-06-20 | 盐城工学院 | Sewage treatment control method and system |
| WO2021139701A1 (en) * | 2020-01-06 | 2021-07-15 | 宇龙计算机通信科技(深圳)有限公司 | Application recommendation method and apparatus, storage medium and electronic device |
| CN111831909A (en) * | 2020-07-08 | 2020-10-27 | 江苏神彩科技股份有限公司 | Environment-friendly information processing method and device, electronic equipment and storage medium |
| CN112487161A (en) * | 2020-11-26 | 2021-03-12 | 北京智源人工智能研究院 | Enterprise demand oriented expert recommendation method, device, medium and equipment |
| CN113296480A (en) * | 2021-01-14 | 2021-08-24 | 阿里巴巴集团控股有限公司 | Water treatment method, system, equipment and storage medium |
| WO2023061087A1 (en) * | 2021-10-12 | 2023-04-20 | 腾讯科技（深圳）有限公司 | Information recommendation method and apparatus, and electronic device, computer-readable storage medium and computer program product |
| CN114186024A (en) * | 2021-12-14 | 2022-03-15 | 中国建设银行股份有限公司 | Recommendation method and device |
| CN116266433A (en) * | 2021-12-17 | 2023-06-20 | 中国石油化工股份有限公司 | Scene construction method, system and desktop exercise method |
| CN116993237A (en) * | 2023-09-21 | 2023-11-03 | 北京上奇数字科技有限公司 | Enterprise recommendation method and system based on cosine similarity algorithm |
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