CN117371566A - Service reservation system based on cloud computing - Google Patents
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Abstract
The application discloses service reservation system based on cloud computing includes: the system comprises a cloud host system, a reservation subsystem and a user terminal; the cloud host system comprises: the service interaction module is connected with the reservation subsystem; the virtual technology module is connected with the service interaction module; the resource allocation module is connected with the virtual technology module and externally connected with a service resource sharing network; and a resource management module coupled to the resource allocation module; the reservation subsystem includes: the reservation input module is connected with the user terminal; the resource screening module is connected with the reservation input module; the data analysis module is connected with the resource screening module; the reservation authentication module is connected with the data analysis module; the time estimation module is connected with the reservation authentication module and the data analysis module; and the resource scheduling module is connected with the reservation authentication module. According to the cloud computing-based service reservation system, the user time can be saved, the service resource utilization rate is improved, and efficient and convenient service reservation operation is realized.
Description
Technical Field
The present disclosure relates to the field of service reservation technologies, and in particular, to a service reservation system based on cloud computing.
Background
Nowadays, informatization, resource sharing and the like become the necessary trend of development of various industries, the Internet is a new form of Internet development in fact, and is a result of ecological evolution of the Internet, the Internet is continuously permeated into production and life of people, service industry and cloud computing technology are effectively fused, and a new idea is provided for service reservation.
Today, in the related service industry, when a user needs to reserve a certain service, the user often needs to communicate and confirm through a phone, even has to go to the site in person to fill in a form for transacting the transaction, then take the form to a counter to queue in a number taking manner, or a small part of the form can realize online reservation registration, such as government service, hospital diagnosis service and treatment service, and the like. However, such a service reservation mode not only wastes a lot of time for users, but also may cause excessive concentration of users in a certain service place, and no service is required in other service places, or there is a situation that the demand of a certain service is insufficient and other services are excessive, so that queuing is jammed and people are full in the service process, resulting in idle of part of service resources.
Therefore, how to provide a service reservation system based on cloud computing, which can save the time of users, improve the utilization rate of service resources, and realize efficient and convenient service reservation operation has become a technical problem to be solved by those skilled in the art.
Disclosure of Invention
In order to solve the technical problems, the application provides a service reservation system based on cloud computing, which can save the time of a user, improve the utilization rate of service resources and realize efficient and convenient service reservation operation.
The technical scheme provided by the application is as follows:
the application provides a service reservation system based on cloud computing, comprising: the system comprises a cloud main system, a reservation subsystem connected with the cloud main system and a user terminal connected with the reservation subsystem and used for accessing a service reservation program; the cloud host system includes: the service interaction module is connected with the reservation subsystem; the virtual technology module is connected with the service interaction module and used for constructing a data interaction channel; the resource allocation module is connected with the virtual technology module, and externally connected with a service resource sharing network for integrating service resources; and a resource management module coupled to the resource allocation module; the reservation subsystem includes: the reservation input module is connected with the user terminal; the resource screening module is connected with the reservation input module; the data analysis module is connected with the resource screening module and is connected with a map library for determining the distance from a user to a service place; the reservation authentication module is connected with the data analysis module; the time estimation module is connected with the reservation authentication module and the data analysis module; and the resource scheduling module is connected with the reservation authentication module.
Further, in a preferred mode of the present invention, the virtual technology module includes:
the data integration unit is connected with the service interaction module and the resource configuration module and is used for providing a unified data format and a data coding protocol and constructing an interaction language;
the virtual mapping unit is connected with the service resource sharing network and is used for mapping and associating the integrated service resources with service places to which the integrated service resources belong in the service resource sharing network;
and the data node unit is connected with the virtual mapping unit and the service resource sharing network and is used for constructing a data interaction channel according to the mapping association relation acquired by the virtual mapping unit.
Further, in a preferred mode of the present invention, the data node unit includes: a main node setting unit and a child node setting unit;
the main node setting unit is used for distributing a central node in the cloud main system;
the child node setting unit is used for distributing regional nodes in the service resource sharing network, and the regional nodes are in communication connection with the central node and are used for establishing interaction channels between the corresponding regions and the cloud host system.
Further, in a preferred mode of the present invention, the resource allocation module includes:
the first resource library is used for storing service resource data, wherein the service resource data comprises the type of resources, object selection and service case data;
the second resource library is used for storing service place data corresponding to each service resource;
the resource integration unit is connected with the first resource library and the second resource library, is in communication connection with the virtual technology module and is used for capturing the service resource data and the service place data in the service resource sharing network according to the data interaction channel;
and the data reading unit is connected with the first resource library and the second resource library and is used for extracting resource data from the resource library according to a service reservation access request of a user.
Further, in a preferred mode of the present invention, the resource management module includes:
a service return visit unit;
the service return visit unit is connected with the virtual technology module and is used for constructing a service feedback list and collecting service satisfaction degree of a user and change opinion of service resources after the user actually completes service;
the index quantization unit is connected with the service return visit unit and the resource allocation module and is used for periodically extracting the service application quantity and the access request quantity of each service resource;
the resource evaluation unit is connected with the index quantification unit and used for evaluating the application value of the corresponding service resource according to the service application quantity and the access request quantity;
a resource management unit connected with the resource evaluation unit and the service return visit unit;
the resource management unit is used for combining feedback comments of the service feedback list and an evaluation result of the service resource application value to perform new adding or deleting operation on the service resource.
Further, in a preferred mode of the present invention, the resource evaluation unit includes:
the time presetting unit is connected with the index quantifying unit and is used for setting a fixed time period for the extraction operation of the resource application quantity and the access request quantity;
the parameter presetting unit is used for setting a step heat value, wherein a heat value is arranged in the step heat value, a positive heat value is larger than the heat value, and a negative heat value is smaller than the heat value;
the scoring evaluation unit is connected with the time presetting unit and the parameter presetting unit, and is used for receiving the resource application quantity and the access request quantity, establishing a scoring mechanism for each service resource according to the quantity of the application quantity and the access quantity and setting application scores;
a heating value analysis unit connected to the score evaluation unit;
and the heat value analysis unit is provided with a score conversion comparison mechanism which is used for receiving the application score and converting the application score into a heat value, dividing each service resource into a positive heat value service resource and a negative heat value service resource after comparing the application score with the ladder heat value, and transmitting the division result to the resource management unit.
Further, in a preferred mode of the present invention, the step of establishing a scoring mechanism for each service resource and setting an application score includes:
firstly, carrying out quantization processing on the resource application quantity and the access request quantity of each service resource, and determining the data size of the application quantity and the request quantity of each service resource;
step two, setting a multi-level gradient threshold, and respectively dividing the service resources to which the resource application amount and the access request amount belong into four levels according to the data size and the gradient threshold;
setting up a plurality of grades, wherein each grade corresponds to one grade, and constructing a grade grading set;
judging the grading grade of each service resource: if the resource application amount and the access request amount of the service resource are both within a certain threshold range, the grading grade of the service resource is a corresponding threshold grade; if the threshold range of the resource application amount of the service resource is higher than the threshold range of the access request amount, the grading grade of the service resource is consistent with the threshold range of the resource application amount; if the threshold range of the resource application amount of the service resource is lower than the threshold range of the access request amount and the threshold range of the service resource is different by one level, the grading level of the service resource is consistent with the threshold range of the resource application amount; if the threshold range of the resource application amount of the service resource is lower than the threshold range of the access request amount and the difference between the threshold range and the threshold range is larger than one level, the grading level of the service resource is consistent with the average value of the threshold levels of the service resource and the average value of the threshold levels, and if the average value is not an integer, the average value is rounded downwards;
and fifthly, setting application scores for the corresponding service resources according to the score grades, and summarizing the application scores into score sets of the corresponding grades.
Further, in a preferred mode of the present invention, the resource screening module includes:
the information classification unit is used for receiving the user reservation information input by the reservation input unit and classifying the reservation information;
the service screening unit is connected with the information classifying unit and is used for acquiring service resource data meeting a user reservation request from the first resource library;
the location screening unit is connected with the information classifying unit and is used for providing an address filtering function for a user;
a location screening unit connected to the information classification unit and the location screening unit;
and the place screening unit is used for acquiring service place data meeting the reservation request of the user from the second resource library according to the place filtering result.
Further, in a preferred mode of the present invention, the resource scheduling module includes:
a task capability assessment unit for assessing the capability of resources required by the service according to the user reservation information;
the resource capacity evaluation unit is connected with the task capacity evaluation unit and is used for comparing and evaluating the resource capacity required by the service with the resource data stored in the first resource library and the second resource library according to the resource capacity required by the service, and verifying the completion capacity of the service;
the resource trust evaluation unit is connected with the resource capacity evaluation unit and is used for verifying the integrity of the resources required by the service in the first resource library and the second resource library;
and a resource allocation unit connected to the resource capability assessment unit.
Further, in a preferred mode of the present invention, the time estimation module includes:
the first time estimating unit is connected with the data analyzing module;
the first time estimating unit is used for acquiring travel time required by a user to reach a service place according to the distance from the user to the service place;
the second time estimating unit is connected with the reservation authentication module;
the second time estimating unit is used for calculating waiting time required by queuing of the user through the queue information provided after reservation authentication is completed;
and the time summarizing unit is connected with the first time estimating unit and the second time estimating unit.
The invention provides a service reservation system based on cloud computing, which comprises the following components: the system comprises a cloud main system, a reservation subsystem connected with the cloud main system and a user terminal connected with the reservation subsystem and used for accessing a service reservation program; the cloud host system includes: the service interaction module is connected with the reservation subsystem; the virtual technology module is connected with the service interaction module and used for constructing a data interaction channel; the resource allocation module is connected with the virtual technology module, and externally connected with a service resource sharing network for integrating service resources; and a resource management module coupled to the resource allocation module; the reservation subsystem includes: the reservation input module is connected with the user terminal; the resource screening module is connected with the reservation input module; the data analysis module is connected with the resource screening module and is connected with a map library for determining the distance from a user to a service place; the reservation authentication module is connected with the data analysis module; the time estimation module is connected with the reservation authentication module and the data analysis module; and the resource scheduling module is connected with the reservation authentication module. The cloud computing-based service reservation system consists of the cloud host system, a plurality of reservation subsystems and a user terminal; the user accesses a service reservation program through a user terminal, utilizes the reservation input module to input reservation application information, and combines the resource screening module to filter service resource data from the cloud host system; after the reservation authentication module determines reservation, the resource scheduling module is used for selecting and distributing service resources meeting the reservation application requirements of the user from the cloud host system, and meanwhile, the time prediction module is combined with the map library, so that the time required by the user in the waiting period can be accurately calculated, the reservation operation time of the user can be saved, and the reservation waiting time of the user can be saved; and secondly, in the cloud host system, the virtual computing module is externally connected with a service resource sharing network, wherein the sharing network can be a virtual resource network or an entity service unit, so that service resources can be integrated, and the resource management module is utilized to evaluate and analyze the actual application amount and access amount of the service resources stored in the cloud host system, so that idle service resources in the system can be deleted or newly added in the system, and various service resources can be efficiently utilized. Therefore, compared with the prior art, the technical scheme provided by the invention can save the time of the user, improve the utilization rate of service resources and realize efficient and convenient service reservation operation.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic block diagram of a service reservation system based on cloud computing according to an embodiment of the present invention;
FIG. 2 is a schematic block diagram of the virtual technology module according to an embodiment of the present invention;
fig. 3 is a schematic block diagram of the resource management module according to an embodiment of the present invention.
Reference numerals illustrate:
the cloud host system 1; a reservation subsystem 2; a user terminal 3; a service interaction module 4; a virtual technology module 5; a resource allocation module 6; a resource management module 7; a reservation entry module 8; a resource screening module 9; a data analysis module 10; a map library 11; a reservation authentication module 12; a time estimation module 13; a resource scheduling module 14; a data integration unit 15; a virtual mapping unit 16; a data node unit 17; a service return visit unit 18; an index quantization unit 19; a resource evaluation unit 20.
Detailed Description
In order to better understand the technical solutions in the present application, the following description will clearly and completely describe the technical solutions in the embodiments of the present application in conjunction with the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
It will be understood that when an element is referred to as being "fixed" or "disposed" on another element, it can be directly on the other element or be indirectly on the other element; when an element is referred to as being "connected to" another element, it can be directly connected to the other element or be indirectly connected to the other element.
It is to be understood that the terms "length," "width," "upper," "lower," "front," "rear," "first," "second," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like indicate or are based on the orientation or positional relationship shown in the drawings, merely to facilitate description of the present application and simplify description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be configured and operated in a particular orientation, and therefore should not be construed as limiting the present application.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present application, the meaning of "a plurality" or "a number" is two or more, unless explicitly defined otherwise.
It should be understood that the structures, proportions, sizes, etc. shown in the drawings are for illustration purposes only and should not be construed as limiting the scope of the present disclosure, since any structural modifications, proportional changes, or dimensional adjustments made by those skilled in the art should not be made in the present disclosure without affecting the efficacy or achievement of the present disclosure.
As shown in fig. 1 to 3, the present application provides a service reservation system based on cloud computing, including: the system comprises a cloud main system 1, a reservation subsystem 2 connected with the cloud main system 1 and a user terminal 3 connected with the reservation subsystem 2 and used for accessing a service reservation program; the cloud host system 1 includes: a service interaction module 4 connected with the reservation subsystem 2; the virtual technology module 5 is connected with the service interaction module 4 and used for constructing a data interaction channel; the resource allocation module 6 is connected with the virtual technology module 5, and the resource allocation module 6 is externally connected with a service resource sharing network and is used for integrating service resources; and a resource management module 7 connected to the resource allocation module 6; the reservation subsystem 2 comprises: a reservation entry module 8 connected to the user terminal 3; the resource screening module 9 is connected with the reservation input module 8; the data analysis module 10 is connected with the resource screening module 9, and the data analysis module 10 is connected with a map library 11 for determining the distance from a user to a service place; a reservation authentication module 12 connected to the data analysis module 10; a time estimation module 13 connected to the reservation authentication module 12 and the data analysis module 10; a resource scheduling module 14 coupled to the subscription authentication module 12. Compared with the prior art, the technical scheme provided by the invention can save the time of a user, improve the utilization rate of service resources and realize efficient and convenient service reservation operation.
Specifically, in a specific embodiment of the present invention, the virtual technology module 5 includes: the data integration unit 15 is connected with the service interaction module 4 and the resource configuration module 6, and the data integration unit 15 is used for providing a unified data format and a data coding protocol to construct an interaction language; a virtual mapping unit 16 connected to the data integration unit 15, where the virtual mapping unit 16 is connected to the service resource sharing network, and is configured to map and associate the integrated service resource with a service location to which the integrated service resource belongs in the service resource sharing network; and a data node unit 17 connected to the virtual mapping unit 16 and the service resource sharing network, where the data node unit 17 is configured to construct a data interaction channel according to the mapping association relationship obtained by the virtual mapping unit 16.
In a specific embodiment of the present invention, the technical architecture of the virtual technology module 5 is a PaaS technical architecture, so that cross-regional sharing of various service resources can be realized, and service resources can be integrated; the virtual mapping unit 16 associates the service resource with the service location, so that the service resource can accurately acquire the service location after being reserved by the user, and the service accuracy is ensured; the data node unit 17 is connected through a node after the resource mapping association, and an interaction channel is constructed to ensure that the data can be communicated between the service resource sharing network and the cloud host system 1.
Specifically, in a specific embodiment of the present invention, the data node unit 17 includes: a main node setting unit and a child node setting unit; the main node setting unit is used for distributing a central node in the cloud main system 1; the child node setting unit is used for distributing regional nodes in the service resource sharing network, wherein the regional nodes are in communication connection with the central node and are used for establishing interaction channels between the corresponding regions and the cloud host system 1.
In a specific embodiment of the present invention, the center node and the child nodes are virtual data cloud nodes; the child node setting unit arranges child nodes in each region of the service resource sharing network, and the child node setting unit is connected into an intelligent node computing network through a real-time distributed computing bus; the central node is essentially a switching hub of the cloud host system 1, and is connected with each sub-node to construct a path, so as to form a data interaction channel.
Specifically, in a specific embodiment of the present invention, the resource configuration module 6 includes: the first resource library is used for storing service resource data, wherein the service resource data comprises the type of resources, object selection and service case data; the second resource library is used for storing service place data corresponding to each service resource; the resource integration unit is connected with the first resource library and the second resource library, is in communication connection with the virtual technology module 5 and is used for capturing the service resource data and the service place data in the service resource sharing network according to the data interaction channel; and the data reading unit is connected with the first resource library and the second resource library and is used for extracting resource data from the resource library according to a service reservation access request of a user.
Specifically, in a specific embodiment of the present invention, the resource management module 7 includes: a service return visit unit 18; the service return visit unit 18 is connected with the virtual technology module 5 and is used for constructing a service feedback list and collecting service satisfaction degree of a user and change opinion of service resources after the user actually completes service; an index quantization unit 19 connecting the service return visit unit 18 and the resource allocation module 6, and configured to periodically extract the service application amount and the access request amount of each service resource; a resource evaluation unit 20 connected to the index quantization unit 19, for evaluating the application value of the corresponding service resource according to the service application amount and the access request amount; a resource management unit connected to the resource evaluation unit 20 and the service revisit unit 18; the resource management unit is used for combining feedback comments of the service feedback list and an evaluation result of the service resource application value to perform new adding or deleting operation on the service resource.
In the specific embodiment of the present invention, the service feedback list constructed by the service revisit unit 18 includes a satisfaction degree halving investigation and a service resource newly added investigation; the resource evaluation unit 20 obtains the access request amount through the service application amount of each service resource, namely the actual service amount, and through clicking the browsing trace by the user, combines the service application amount with the access request amount and introduces hot value analysis to determine the value of the service resource, so that the service resource can be added or subtracted by the resource management unit.
Specifically, in a specific embodiment of the present invention, the resource evaluation unit 20 includes: a time presetting unit connected with the index quantifying unit 19, for setting a fixed time period for the extraction operation of the resource application amount and the access request amount; the parameter presetting unit is used for setting a step heat value, wherein a heat value is arranged in the step heat value, a positive heat value is larger than the heat value, and a negative heat value is smaller than the heat value; the scoring evaluation unit is connected with the time presetting unit and the parameter presetting unit, and is used for receiving the resource application quantity and the access request quantity, establishing a scoring mechanism for each service resource according to the quantity of the application quantity and the access quantity and setting application scores; a heating value analysis unit connected to the score evaluation unit; and the heat value analysis unit is provided with a score conversion comparison mechanism which is used for receiving the application score and converting the application score into a heat value, dividing each service resource into a positive heat value service resource and a negative heat value service resource after comparing the application score with the ladder heat value, and transmitting the division result to the resource management unit.
In a specific embodiment of the present invention, the steps of receiving the application score and converting the application score into a heat value, and comparing the heat value with the step heat value are specifically: firstly, setting the same fixed time period, and performing heat value conversion on the application scores of the service resources according to the gradient heat value; modeling the converted heat value, and then establishing a coordinate system by taking the fixed time period and the converted heat value as coordinate axes to acquire a functional relation between the fixed time period and the converted heat value; and obtaining an average heat value of the service resource in the fixed time period through the functional relation, and comparing the average heat value with a step heat value.
Specifically, in a specific embodiment of the present invention, the step of establishing a scoring mechanism for each service resource and setting an application score includes: firstly, carrying out quantization processing on the resource application quantity and the access request quantity of each service resource, and determining the data size of the application quantity and the request quantity of each service resource; step two, setting a multi-level gradient threshold, and respectively dividing the service resources to which the resource application amount and the access request amount belong into four levels according to the data size and the gradient threshold; setting up a plurality of grades, wherein each grade corresponds to one grade, and constructing a grade grading set; judging the grading grade of each service resource: if the resource application amount and the access request amount of the service resource are both within a certain threshold range, the grading grade of the service resource is a corresponding threshold grade; if the threshold range of the resource application amount of the service resource is higher than the threshold range of the access request amount, the grading grade of the service resource is consistent with the threshold range of the resource application amount; if the threshold range of the resource application amount of the service resource is lower than the threshold range of the access request amount and the threshold range of the service resource is different by one level, the grading level of the service resource is consistent with the threshold range of the resource application amount; if the threshold range of the resource application amount of the service resource is lower than the threshold range of the access request amount and the difference between the threshold range and the threshold range is larger than one level, the grading level of the service resource is consistent with the average value of the threshold levels of the service resource and the average value of the threshold levels, and if the average value is not an integer, the average value is rounded downwards; and fifthly, setting application scores for the corresponding service resources according to the score grades, and summarizing the application scores into score sets of the corresponding grades.
Specifically, in a specific embodiment of the present invention, the resource screening module 9 includes: the information classification unit is used for receiving the user reservation information input by the reservation input unit and classifying the reservation information; the service screening unit is connected with the information classifying unit and is used for acquiring service resource data meeting a user reservation request from the first resource library; the location screening unit is connected with the information classifying unit and is used for providing an address filtering function for a user; a location screening unit connected to the information classification unit and the location screening unit; and the place screening unit is used for acquiring service place data meeting the reservation request of the user from the second resource library according to the place filtering result.
Specifically, in a specific embodiment of the present invention, the resource scheduling module 14 includes: a task capability assessment unit for assessing the capability of resources required by the service according to the user reservation information; the resource capacity evaluation unit is connected with the task capacity evaluation unit and is used for comparing and evaluating the resource capacity required by the service with the resource data stored in the first resource library and the second resource library according to the resource capacity required by the service, and verifying the completion capacity of the service; the resource trust evaluation unit is connected with the resource capacity evaluation unit and is used for verifying the integrity of the resources required by the service in the first resource library and the second resource library; and a resource allocation unit connected to the resource capability assessment unit.
In this embodiment of the present invention, the resource scheduling module 14 is configured to invoke relevant service resource data from the cloud host system 1 according to a reservation application. The service resource calling step comprises the following steps: firstly, the task capacity evaluates the resource capacity required by the service task after the large heating system receives reservation information with a user; then, the resource capability assessment unit is utilized to determine whether the system has the capability of completing the reservation service, and if the system has the capability, the required resource is called from the first resource library or the second resource library, and the integrity of the verifier is verified; after verification, the device is distributed to the user for selection.
Specifically, in an embodiment of the present invention, the time estimation module 13 includes: a first time estimation unit connected with the data analysis module 10; the first time estimating unit is used for acquiring travel time required by a user to reach a service place according to the distance from the user to the service place; a second time estimation unit connected to the reservation authentication module 12; the second time estimating unit is used for calculating waiting time required by queuing of the user through the queue information provided after reservation authentication is completed; and the time summarizing unit is connected with the first time estimating unit and the second time estimating unit.
In the foregoing, the service reservation system based on cloud computing according to the embodiments of the present invention is composed of the cloud host system 1, a plurality of reservation subsystems 2 and a user terminal 3; the user accesses a service reservation program through the user terminal 3, utilizes the reservation input module 8 to input reservation application information, and combines the resource screening module 9 to filter service resource data from the cloud host system 1; after determining the reservation by the reservation authentication module 12, the resource scheduling module 14 is configured to select and allocate a service resource meeting the reservation request of the user from the cloud host system 1, and meanwhile, the time estimating module 13 is combined with the map library 11, so that the time required by the user during waiting for service can be accurately calculated, which not only saves the reservation operation time of the user, but also saves the reservation waiting time of the user; secondly, in the cloud host system 1, the virtual computing module is externally connected with a service resource sharing network, and the sharing network can be a virtual resource network or an entity service unit, so that service resources can be integrated, and by using the resource management module 7, through evaluating and analyzing the actual application amount and access amount of the service resources stored in the cloud host system 1, idle service resources in the system can be deleted or newly added in the system, so that various service resources can be efficiently utilized. Therefore, compared with the prior art, the technical scheme provided by the invention can save the time of the user, improve the utilization rate of service resources and realize efficient and convenient service reservation operation.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A cloud computing-based service reservation system, comprising:
a cloud host system;
the reservation subsystem is connected with the cloud host system;
the user terminal is connected with the reservation subsystem and used for accessing the service reservation program;
the cloud host system includes:
the service interaction module is connected with the reservation subsystem;
the virtual technology module is connected with the service interaction module and used for constructing a data interaction channel;
the resource allocation module is connected with the virtual technology module, and externally connected with a service resource sharing network for integrating service resources;
a resource management module connected to the resource allocation module;
the reservation subsystem includes: the reservation input module is connected with the user terminal; the resource screening module is connected with the reservation input module; the data analysis module is connected with the resource screening module and is connected with a map library for determining the distance from a user to a service place; the reservation authentication module is connected with the data analysis module; the time estimation module is connected with the reservation authentication module and the data analysis module; and the resource scheduling module is connected with the reservation authentication module.
2. The cloud computing-based service subscription system of claim 1, wherein the virtual technology module comprises:
the data integration unit is connected with the service interaction module and the resource configuration module and is used for providing a unified data format and a data coding protocol and constructing an interaction language;
the virtual mapping unit is connected with the service resource sharing network and is used for mapping and associating the integrated service resources with service places to which the integrated service resources belong in the service resource sharing network;
and the data node unit is connected with the virtual mapping unit and the service resource sharing network and is used for constructing a data interaction channel according to the mapping association relation acquired by the virtual mapping unit.
3. The cloud computing-based service subscription system of claim 2, wherein the data node unit comprises: a main node setting unit and a child node setting unit;
the main node setting unit is used for distributing a central node in the cloud main system;
the child node setting unit is used for distributing regional nodes in the service resource sharing network, and the regional nodes are in communication connection with the central node and are used for establishing interaction channels between the corresponding regions and the cloud host system.
4. The cloud computing-based service subscription system of claim 2, wherein the resource configuration module comprises:
the first resource library is used for storing service resource data, wherein the service resource data comprises the type of resources, object selection and service case data;
the second resource library is used for storing service place data corresponding to each service resource;
the resource integration unit is connected with the first resource library and the second resource library, is in communication connection with the virtual technology module and is used for capturing the service resource data and the service place data in the service resource sharing network according to the data interaction channel;
and the data reading unit is connected with the first resource library and the second resource library and is used for extracting resource data from the resource library according to a service reservation access request of a user.
5. The cloud computing-based service subscription system of claim 1, wherein the resource management module comprises:
a service return visit unit;
the service return visit unit is connected with the virtual technology module and is used for constructing a service feedback list and collecting service satisfaction degree of a user and change opinion of service resources after the user actually completes service;
the index quantization unit is connected with the service return visit unit and the resource allocation module and is used for periodically extracting the service application quantity and the access request quantity of each service resource;
the resource evaluation unit is connected with the index quantification unit and used for evaluating the application value of the corresponding service resource according to the service application quantity and the access request quantity;
a resource management unit connected with the resource evaluation unit and the service return visit unit;
the resource management unit is used for combining feedback comments of the service feedback list and an evaluation result of the service resource application value to perform new adding or deleting operation on the service resource.
6. The cloud computing-based service subscription system of claim 5, wherein the resource assessment unit comprises:
the time presetting unit is connected with the index quantifying unit and is used for setting a fixed time period for the extraction operation of the resource application quantity and the access request quantity;
the parameter presetting unit is used for setting a step heat value, wherein a heat value is arranged in the step heat value, a positive heat value is larger than the heat value, and a negative heat value is smaller than the heat value;
the scoring evaluation unit is connected with the time presetting unit and the parameter presetting unit, and is used for receiving the resource application quantity and the access request quantity, establishing a scoring mechanism for each service resource according to the quantity of the application quantity and the access quantity and setting application scores;
a heating value analysis unit connected to the score evaluation unit;
and the heat value analysis unit is provided with a score conversion comparison mechanism which is used for receiving the application score and converting the application score into a heat value, dividing each service resource into a positive heat value service resource and a negative heat value service resource after comparing the application score with the ladder heat value, and transmitting the division result to the resource management unit.
7. The cloud computing-based service subscription system of claim 6, wherein the step of establishing a scoring mechanism for each service resource and setting an application score comprises:
firstly, carrying out quantization processing on the resource application quantity and the access request quantity of each service resource, and determining the data size of the application quantity and the request quantity of each service resource;
step two, setting a multi-level gradient threshold, and respectively dividing the service resources to which the resource application amount and the access request amount belong into four levels according to the data size and the gradient threshold;
setting up a plurality of grades, wherein each grade corresponds to one grade, and constructing a grade grading set;
judging the grading grade of each service resource: if the resource application amount and the access request amount of the service resource are both within a certain threshold range, the grading grade of the service resource is a corresponding threshold grade; if the threshold range of the resource application amount of the service resource is higher than the threshold range of the access request amount, the grading grade of the service resource is consistent with the threshold range of the resource application amount; if the threshold range of the resource application amount of the service resource is lower than the threshold range of the access request amount and the threshold range of the service resource is different by one level, the grading level of the service resource is consistent with the threshold range of the resource application amount; if the threshold range of the resource application amount of the service resource is lower than the threshold range of the access request amount and the difference between the threshold range and the threshold range is larger than one level, the grading level of the service resource is consistent with the average value of the threshold levels of the service resource and the average value of the threshold levels, and if the average value is not an integer, the average value is rounded downwards;
and fifthly, setting application scores for the corresponding service resources according to the score grades, and summarizing the application scores into score sets of the corresponding grades.
8. The cloud computing-based service subscription system of claim 4, wherein the resource screening module comprises:
the information classification unit is used for receiving the user reservation information input by the reservation input unit and classifying the reservation information;
the service screening unit is connected with the information classifying unit and is used for acquiring service resource data meeting a user reservation request from the first resource library;
the location screening unit is connected with the information classifying unit and is used for providing an address filtering function for a user;
a location screening unit connected to the information classification unit and the location screening unit;
and the place screening unit is used for acquiring service place data meeting the reservation request of the user from the second resource library according to the place filtering result.
9. The cloud computing-based service subscription system of claim 8, wherein the resource scheduling module comprises:
a task capability assessment unit for assessing the capability of resources required by the service according to the user reservation information;
the resource capacity evaluation unit is connected with the task capacity evaluation unit and is used for comparing and evaluating the resource capacity required by the service with the resource data stored in the first resource library and the second resource library according to the resource capacity required by the service, and verifying the completion capacity of the service;
the resource trust evaluation unit is connected with the resource capacity evaluation unit and is used for verifying the integrity of the resources required by the service in the first resource library and the second resource library;
and a resource allocation unit connected to the resource capability assessment unit.
10. The cloud computing-based service subscription system of any one of claims 1 to 9, wherein the time estimation module comprises:
the first time estimating unit is connected with the data analyzing module;
the first time estimating unit is used for acquiring travel time required by a user to reach a service place according to the distance from the user to the service place;
the second time estimating unit is connected with the reservation authentication module;
the second time estimating unit is used for calculating waiting time required by queuing of the user through the queue information provided after reservation authentication is completed;
and the time summarizing unit is connected with the first time estimating unit and the second time estimating unit.
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| CN202311479006.7A CN117371566A (en) | 2023-11-08 | 2023-11-08 | Service reservation system based on cloud computing |
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