CN112559144A - Intelligent sharing device scheduling method facing data and information rights and interests exchange - Google Patents
Intelligent sharing device scheduling method facing data and information rights and interests exchange Download PDFInfo
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- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/48—Program initiating; Program switching, e.g. by interrupt
- G06F9/4806—Task transfer initiation or dispatching
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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- G06F16/283—Multi-dimensional databases or data warehouses, e.g. MOLAP or ROLAP
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/48—Program initiating; Program switching, e.g. by interrupt
- G06F9/4806—Task transfer initiation or dispatching
- G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
- G06F9/4881—Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
Abstract
The application discloses a scheduling method of an intelligent sharing device facing data and information rights and interests exchange, which comprises the following steps: receiving a resource scheduling request, and determining a resource scheduling main body and a resource scheduling transaction according to the resource scheduling request; determining a user portrait corresponding to the resource scheduling subject, and determining a user priority corresponding to the resource scheduling subject according to the user portrait and the resource scheduling transaction; and generating a resource scheduling plan according to the user priority, and allocating resources to the resource scheduling main body according to the resource scheduling plan. The method and the device can achieve reasonable scheduling of resources and improve the use efficiency of the resources. The application also discloses an intelligent sharing device scheduling device facing the data and information rights and interests exchange, an electronic device and a storage medium, which have the beneficial effects.
Description
Technical Field
The present application relates to the field of multidimensional data scheduling technologies, and in particular, to a method and an apparatus for scheduling an intelligent sharing apparatus oriented to data and information equity exchange, an electronic device, and a storage medium.
Background
With the improvement of the living standard of people, the daily demands of people have evolved from 'having' to 'being refined'. In the face of diversified demands of more and more abundant users, a scheduling mode which can quickly adapt to the demands of multi-dimensional users, can be expanded and is informationized is urgently needed to process the personalized demands of the users.
Therefore, how to implement reasonable scheduling of resources and improve the utilization efficiency of resources is a technical problem that needs to be solved by those skilled in the art at present.
Disclosure of Invention
The application aims to provide a scheduling method and device of an intelligent sharing device facing data and information rights and interests exchange, an electronic device and a storage medium, which can realize reasonable scheduling of resources and improve the use efficiency of the resources.
In order to solve the above technical problem, the present application provides a scheduling method for an intelligent sharing device facing data and information interest exchange, where the scheduling method for an intelligent sharing device facing data and information interest exchange includes:
receiving a resource scheduling request, and determining a resource scheduling main body and a resource scheduling transaction according to the resource scheduling request; the resource scheduling transaction is a transaction for scheduling the intelligent sharing device;
determining a user portrait corresponding to the resource scheduling subject, and determining a user priority corresponding to the resource scheduling subject according to the user portrait and the resource scheduling transaction;
and generating a resource scheduling plan according to the user priority, and allocating resources to the resource scheduling main body according to the resource scheduling plan.
Optionally, before determining the user portrait corresponding to the resource scheduling subject, the method further includes:
acquiring a resource scheduling log of a user in a historical time period, and generating user behavior information, user credit information and user use habit information according to the resource scheduling log;
and generating the user portrait according to the user behavior information, the user credit information and the user use habit information, and recording the corresponding relation between the user portrait and the resource scheduling main body.
Optionally, after allocating resources to the resource scheduling subject according to the resource scheduling plan, the method further includes:
and recording the resource use state of the resource scheduling main body, and updating the user portrait according to the resource use state.
Optionally, determining the user priority corresponding to the resource scheduling subject according to the user representation and the resource scheduling transaction includes:
inputting the user representation and the resource scheduling transaction into a process control model;
determining the user priority corresponding to the resource scheduling main body by utilizing the processing control model; the processing control model is a model comprising an event value evaluation algorithm, a time value evaluation algorithm and a space value evaluation algorithm.
Optionally, before allocating resources to the resource scheduling subject according to the resource scheduling plan, the method further includes:
judging whether a resource emergency scheduling request is received;
and if so, adjusting the user priority according to the resource emergency scheduling request, and generating a new resource scheduling plan by using the adjusted user priority.
Optionally, allocating resources to the resource scheduling subject according to the resource scheduling plan includes:
determining a scheduling queue number of the resource scheduling main body according to the resource scheduling plan; the scheduling queue sequence number is negatively related to the user priority, and the smaller the scheduling queue sequence number is, the more preferentially the resource is distributed;
judging whether the scheduling queue serial number of the resource scheduling main body is in a preset interval or not;
if not, judging whether the resource scheduling main body has a priority queuing authority or not;
and if the resource scheduling main body has the priority queuing authority, adjusting the user priority of the resource scheduling main body until the scheduling queue serial number of the resource scheduling main body is within a preset interval.
Optionally, the resource scheduling request is a request for scheduling the intelligent sharing device.
The present application further provides a scheduling apparatus of an intelligent sharing device facing data and information interest exchange, including:
the resource scheduling analysis module is used for receiving a resource scheduling request and determining a resource scheduling main body and a resource scheduling transaction according to the resource scheduling request; the resource scheduling transaction is a transaction for scheduling the intelligent sharing device;
the user priority determining module is used for determining a user portrait corresponding to the resource scheduling main body and determining the user priority corresponding to the resource scheduling main body according to the user portrait and the resource scheduling transaction;
and the resource scheduling module is used for generating a resource scheduling plan according to the user priority and allocating resources to the resource scheduling main body according to the resource scheduling plan.
The application also provides a storage medium, on which a computer program is stored, and the computer program realizes the steps executed by the scheduling method of the intelligent sharing device facing the data and information rights and interests exchange.
The application also provides electronic equipment, which comprises a memory and a processor, wherein the memory is stored with a computer program, and the processor realizes the steps executed by the scheduling method of the intelligent sharing device facing to the data and information interest exchange when calling the computer program in the memory.
The application provides an intelligent sharing device scheduling method facing data and information rights and interests exchange, which comprises the following steps: receiving a resource scheduling request, and determining a resource scheduling main body and a resource scheduling transaction according to the resource scheduling request; the resource scheduling transaction is a transaction for scheduling the intelligent sharing device; determining a user portrait corresponding to the resource scheduling subject, and determining a user priority corresponding to the resource scheduling subject according to the user portrait and the resource scheduling transaction; and generating a resource scheduling plan according to the user priority, and allocating resources to the resource scheduling main body according to the resource scheduling plan.
After receiving the resource scheduling request, the resource scheduling subject and the resource scheduling transaction are determined according to the resource scheduling request. The resource scheduling main body is a user requesting to allocate resources, and the resource scheduling transaction is specific information requesting to allocate resources. After the user portrait of the resource scheduling main body is determined, the user priority corresponding to the resource scheduling main body is determined according to the user portrait and the resource scheduling transaction, and the higher the user priority is, the more preferentially the resource is allocated to the resource scheduling main body. The resource scheduling plan is generated according to the user priority, the resource scheduling plan can comprise the sequence, the mode and the type of resource scheduling, and resources can be distributed to the resource scheduling main body according to the resource scheduling plan. The user portrait and the resource scheduling transaction can comprise multidimensional data, and further when the user priority is determined according to the user portrait and the resource scheduling transaction, the user priority can be evaluated according to the values of multiple dimensions, so that reasonable scheduling of resources can be achieved, and the use efficiency of the resources is improved. The application also provides an intelligent sharing device scheduling device facing data and information rights and interests exchange, electronic equipment and a storage medium, which have the beneficial effects and are not repeated herein.
Drawings
In order to more clearly illustrate the embodiments of the present application, the drawings needed for the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings can be obtained by those skilled in the art without inventive effort.
Fig. 1 is a flowchart of a scheduling method of an intelligent sharing device facing data and information interest exchange according to an embodiment of the present application;
fig. 2 is an architecture diagram of a resource scheduling system according to an embodiment of the present application;
FIG. 3 is a schematic diagram illustrating a principle of constructing a scheduling subject model and a scheduling transaction model based on a data, information and knowledge system according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an intelligent sharing device scheduling apparatus for exchanging data and information rights and interests according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, fig. 1 is a flowchart illustrating a scheduling method of an intelligent sharing device facing data and information interest exchange according to an embodiment of the present disclosure.
The specific steps may include:
s101: receiving a resource scheduling request, and determining a resource scheduling main body and a resource scheduling transaction according to the resource scheduling request; the resource scheduling transaction is a transaction for scheduling the intelligent sharing device;
the system can be suitable for daily scenes including but not limited to elevators, network appointment cars and various types of appointments, effectively improves user experience on the basis of guaranteeing operation efficiency, and guarantees individual requirements of users. The execution main body of the embodiment can be elevator control equipment, a dispatching server of a network car booking platform and the like.
The resource scheduling request can be a request for scheduling an intelligent sharing device such as an elevator, a network car appointment and the like by a user through a mobile phone, a computer and an elevator key, and is a request for allocating resources for the user; for example, in an elevator usage scenario, the resource scheduling request is information requesting to take an elevator on a certain floor, and in a network appointment usage scenario, the resource scheduling request may be information requesting to allocate a point of getting on the vehicle to travel to a destination.
After receiving the resource scheduling request, a resource scheduling subject and a resource scheduling transaction for sending the resource scheduling request may be determined according to the resource scheduling request. The resource scheduling subject may be an account, a device, a user, etc. that sends the resource scheduling request. The resource scheduling transaction may include information about the kind of resource to be scheduled, the resource usage pattern, and the like. For example, in a network car-booking scenario, the resource scheduling request is a request to call a network car-booking, the type of vehicle selected when the network car-booking is called is the resource type, and the boarding location, destination, and car-booking time selected when the network car-booking is called is the resource usage.
S102: determining a user portrait corresponding to the resource scheduling subject, and determining a user priority corresponding to the resource scheduling subject according to the user portrait and the resource scheduling transaction;
the user portrait is an effective tool for delineating a target user and connecting user appeal and design direction, and the embodiment can abstract user information with multiple dimensions into tags and materialize the user image by utilizing the tags to obtain the user portrait. In this embodiment, each resource scheduling entity has its corresponding user profile, and the user profile corresponding to the resource scheduling entity can be determined based on the corresponding relationship between the resource scheduling entity and the user profile. As a possible implementation manner, after allocating resources to the resource scheduling subject according to the resource scheduling plan, the resource usage status of the resource scheduling subject may be recorded, and the user profile may be updated according to the resource usage status. The resource use state is information for describing the use condition of the resource allocated to the resource scheduling subject, and the resource trial state can be divided into a normal use state and an abnormal use state. For example, after the resource scheduling agent allocates a network appointment, if the resource scheduling agent does not get on the car at a specified point in time, the resource usage status is abnormal, and at this time, a tag indicating that the user is not in time may be added to the user representation.
The embodiment can input the user portrait and the resource scheduling transaction into the scheduling transaction model, and output the priority corresponding to the resource scheduling subject by using the scheduling transaction model. Before this step, there may be a process of constructing a scheduling subject model and a scheduling transaction model, please refer to fig. 2, and fig. 2 is an architecture diagram of a resource scheduling system according to an embodiment of the present application.
As shown in fig. 2, the resource scheduling system may include a scheduling subject model and a value-based scheduling transaction model, after the user sends a request decision, the scheduling subject model obtains a user portrait, the scheduling transaction model obtains a resource scheduling transaction, and then a decision (i.e., a resource scheduling plan) corresponding to the user portrait and the resource scheduling transaction may be output by using the decision model. After receiving the user's feedback, the scheduling principal model may also modify the user representation and scheduling transaction model.
The scheduling subject model may include a data input module, a data processing module, and a model output module. The value-based scheduling transaction model can provide a scheduling subject value evaluation system, and the scheduling transaction model can comprise a scheduling subject model input module, a scheduling subject demand value evaluation module and a scheduling decision module.
The details of the scheduling subject model design are as follows: the purpose of the scheduling principal model is to generate a user representation of the scheduling principal from the input multi-dimensional data. The technique used by the scheduling principal model is knowledge mapping. The purpose of the scheduling subject model is as follows: the scheduling subject model generates a scheduling subject portrait by preprocessing the multidimensional scheduling subject data. The scheduling subject sketch can well reflect the characteristics of the scheduling subject for the decision model to use. The construction mode of the scheduling subject model is as follows: the system dynamically generates and updates a scheduling subject representation based on the input scheduling topic data.
The details of the value-based scheduling transaction model design are as follows: the purpose of the module is to generate a model of the scheduled transaction according to the actual details of the scheduled transaction, and the technology used by the model of the scheduled transaction is a knowledge graph. The scheduling transaction model is used for completely modeling the scheduling transaction model for one-time scheduling, and the system comprehensively evaluates the value of the one-time scheduling transaction by combining the scheduling transaction model and the scheduling main body. The scheduling transaction model consists of a series of constraint, value assessment dimensions in the scheduling process, which include and are not limited to: space requirements (constraints), time requirements (constraints), event-based value assessment, and the like.
S103: and generating a resource scheduling plan according to the user priority, and allocating resources to the resource scheduling main body according to the resource scheduling plan.
On the basis of obtaining the user priority, the present embodiment may further output a resource scheduling plan by using the decision model, where the resource scheduling plan may include information such as resources to be allocated to the resource scheduling entity, and a sequence or time for allocating the resources to the resource scheduling entity.
Continuing to take the network taxi appointment scene as an example, if 5 users queue for waiting for the taxi currently and the user priority of the 5 users is level 2, after the user X sends the resource scheduling request, if the user priority of the user X is level 2, the user X can be used as the 6 th name of the queuing list; if the user priority of the user X is 5, the user X can be used as the 1 st name of the queuing list, so that the user X is preferentially allocated with the network car appointment. In the allocation sequence and the resource scheduling plan of the network appointment car, after the resource scheduling plan is obtained, the corresponding resources may be allocated to the resource scheduling subject according to the scheduling plan.
After receiving the resource scheduling request, the present embodiment determines a resource scheduling subject and a resource scheduling transaction according to the resource scheduling request. The resource scheduling main body is a user requesting to allocate resources, and the resource scheduling transaction is specific information requesting to allocate resources. After determining the user portrait of the resource scheduling subject, the embodiment determines the user priority corresponding to the resource scheduling subject according to the user portrait and the resource scheduling transaction, and the higher the user priority is, the higher the priority of the resource scheduling subject is, the higher the resource is allocated. The resource scheduling plan is generated according to the user priority, and the resource scheduling plan may include the sequence, manner and type of resource scheduling, and may further allocate resources to the resource scheduling subject according to the resource scheduling plan. The user portrait and the resource scheduling transaction can comprise multidimensional data, and further when the user priority is determined according to the user portrait and the resource scheduling transaction, the user priority can be evaluated according to the value of multiple dimensions, so that reasonable scheduling of resources can be achieved, and the use efficiency of the resources is improved.
Referring to fig. 3, fig. 3 is a schematic diagram illustrating a principle of constructing a scheduling subject model and a scheduling transaction model based on data, information and knowledge systems according to an embodiment of the present application. As shown in FIG. 3, a user may enter user-related data into a data system, user-related information into an information system, and user-related knowledge into a knowledge system. Data, information and knowledge can be transformed into each other. The embodiment can obtain the scheduling subject model through learning of a data system and a knowledge system, and can also obtain the scheduling transaction model through learning of an information system and a knowledge system. The decision model can generate a resource scheduling plan according to the user portrait output by the scheduling main model and the user priority output by the scheduling transaction model.
The data system is designed and subdivided as follows:
the range of: a data system consists of a series of text, numeric, or other forms of presentation of facts.
A storage mode: the data in the data system is stored in the database in units of stripes.
Characteristics of:
(1) the data in the data system has no practical meaning.
(2) The data in the data hierarchy may or may not have any unexpected effect on the system.
(3) The data in the data hierarchy may be in any form and in any format.
The application range is as follows: in the data system, data is used and input in both a scheduling subject model and a scheduling transaction model. In the two scheduling main body models and the scheduling transaction model, data becomes knowledge after being extracted and summarized for multiple times, and finally becomes a part of the models.
The information system is designed and subdivided as follows:
the range of: the data in the information system may be extracted from the data system or directly from external input.
A storage mode: data within an information hierarchy is structured data that may be stored in a relational graph or relational database.
Characteristics of:
(1) the information in the information system is extracted from the data in the data system;
(2) the information in the information system still does not necessarily have an influence on the system.
The application range is as follows: in the present system, information has inputs in both the scheduling subject model and the scheduling transaction model, but is only used in the scheduling transaction model. In the scheduling transaction model, the system needs to input information related to the model as core parameters of the model.
The knowledge system is designed and subdivided as follows:
the range of: knowledge in the knowledge system may be extracted from the information system or directly from external input.
A storage mode: exists in the form of a knowledge map or Key-Value.
Characteristics of:
(1) knowledge in the knowledge system is the basis for system decisions.
(2) The knowledge in the knowledge system is time-efficient.
The following describes the usage process of the resource scheduling system shown in fig. 2:
the primary use process: the system inputs initial scheduling transaction data and scheduling main data, extracts information according to the scheduling transaction data and the scheduling main data, and imports the learned knowledge into a knowledge system through screening and learning the information in the information system to complete the construction of a scheduling main model and a scheduling transaction model.
After the scheduling subject model and the scheduling transaction model are built, after scheduling subject information is input, whether the scheduling subject forms an over-scheduling subject model or not can be inquired, if the scheduling subject already has the model, the generated subject model is called, and if the scheduling subject does not generate the model, the scheduling subject information is used for generating the scheduling subject model. And inputting basic information of the scheduling transaction, and evaluating the user value by combining the scheduling main body model and the basic information of the scheduling transaction by the transaction model so as to facilitate the scheduling system to output a scheduling plan according to the user value.
The present embodiment also provides the following exception handling and feedback mechanisms: a major abnormality: a subject exception is defined as an exception generated by a user subject. The feedback of the major abnormality only acts on the scheduling subject model and influences all scheduling participated by the scheduling subject; transactional exceptions: transactional exceptions affect only one transaction, which is highly time-efficient. Transactional exceptions only act on the transaction model.
As a further introduction to the corresponding embodiment of fig. 1, before determining the user profile corresponding to the resource scheduling subject, a resource scheduling log of a user in a historical time period may also be obtained, and user behavior information, user credit information, and user usage habit information may be generated according to the resource scheduling log; and generating the user portrait according to the user behavior information, the user credit information and the user use habit information, and recording the corresponding relation between the user portrait and the resource scheduling main body. The user behavior information may include a purpose for which the user requests allocation of resources. The user credit information is a credit evaluation result of the user using the resource, and the user credit information comprises whether the resource is used or returned on time, whether the resource is damaged or not and the like. The user usage habit refers to a habit of a user requesting allocation of a resource, and may include a period of time for which allocation of a resource is frequently requested, a preference for a resource kind, and the like.
Further, the present embodiment may determine the user priority corresponding to the resource scheduling subject by the following means: inputting the user representation and the resource scheduling transaction into a process control model; determining the user priority corresponding to the resource scheduling main body by utilizing the processing control model; the processing control model is a model comprising an event value evaluation algorithm, a time value evaluation algorithm and a space value evaluation algorithm.
The event value evaluation algorithm is an algorithm for evaluating the value of the resource scheduling transaction, and the embodiment may preset the corresponding relationship between the transaction and the time value, for example, the value of the event of the transaction "go to work" is higher than that of the transaction "go to shopping". The time value evaluation algorithm is an algorithm for evaluating the time importance degree of the resource scheduling affairs for the user, and the embodiment can represent the user and preset the corresponding relation between the affairs and the time value, for example, the time value of "student A needs to go to monday school for class" is higher than that of "student B needs to go to saturday school for playing ball". The spatial value evaluation algorithm is an algorithm for the spatial importance degree of the resource scheduling affairs to the user, and the embodiment can represent the user, and preset the corresponding relation between the affairs and the spatial value, for example, the spatial value of going to the hospital is higher than that of going to the market.
The event value, the time value and the space value can be obtained after the user portrait and the resource scheduling transaction are input into the processing control model, the comprehensive value is obtained by performing weighted calculation on the event value, the time value and the space value, and then the user priority corresponding to the resource scheduling main body is determined according to the comprehensive value, wherein the higher the comprehensive value is, the higher the user priority is.
As a further introduction to the corresponding embodiment of fig. 1, the resource scheduling plan may be adjusted if an emergency scheduling resource is needed before allocating resources for the resource scheduling entity. The specific process is as follows: before allocating resources to the resource scheduling main body according to the resource scheduling plan, judging whether a resource emergency scheduling request is received; and if so, adjusting the user priority according to the resource emergency scheduling request, and generating a new resource scheduling plan by using the adjusted user priority. For example, when there is a need to take an elevator for a patient waiting to be rescued, a resource emergency dispatch request may be generated to preferentially allocate elevator resources to the patient.
Further, this embodiment may allocate resources to the resource scheduling subject by: determining a scheduling queue number of the resource scheduling main body according to the resource scheduling plan; the scheduling queue sequence number is negatively related to the user priority, and the smaller the scheduling queue sequence number is, the more preferentially the resource is distributed; judging whether the scheduling queue serial number of the resource scheduling main body is in a preset interval or not; if not, judging whether the resource scheduling main body has a priority queuing authority or not; and if the resource scheduling main body has the priority queuing authority, adjusting the user priority of the resource scheduling main body until the scheduling queue serial number of the resource scheduling main body is within a preset interval.
Taking the network appointment as an example, if the serial number of the scheduling queue of the user a is No. 20, the user a can obtain the priority queuing authority by means of charging members or pricing, so as to adjust the serial number of the scheduling queue of the user a forward.
The resource scheduling process described in the above embodiment is explained by an elevator scheduling case in practical application.
An elevator dispatching system can include a dispatching principal model and a value-based dispatching transaction model. The scheduling subject model may determine the ladder user profile based on user behavior, user credit, and user usage habits. The value-based scheduling transaction model may assess user value (i.e., user priority, as noted above) based on event value, temporal value, spatial value, and other extensible, easily extensible value evaluation systems. The resource scheduling algorithm module can realize bidding system determination, floor value evaluation, multi-elevator collaborative planning and reservation operation (namely system agent user requirement).
The case design of the present embodiment may include the following three cases:
case 1: in an elevator dispatching scene, a dispatching subject is an elevator taking user. In this scenario, the scheduling subject model mainly focuses on the parameters of the user credit situation and elevator riding habit evaluation.
Case 2: in an elevator dispatching scene, a user takes an elevator once, namely a dispatching transaction.
Case 3: in an elevator dispatching scenario, an exception handling and feedback mechanism. The specific abnormal situation processing and feedback mechanism is mainly embodied in the following two aspects:
major abnormality a: users do not take the elevator according to the plan, bad habits of taking the elevator, users acquire priority levels by using an elevator emergency handling mechanism and the like.
B transactional exception: and when a user starts an emergency, the elevator is dispatched in an emergency, and the like.
The function of this embodiment is described as follows:
the embodiment can provide system stability guarantee in the following ways: mode 1, the user credit subsystem based on the behavior library can prevent the improper behavior (behavior recognition) of the user to a certain extent; in the mode 2, a user blocking strategy that malicious behaviors are started for a plurality of times within a certain period or credit score is lowered to a certain threshold value can prevent possible malicious attacks (risk control); and 3, the introduction of the value effectively improves the attack cost of the malicious user.
The embodiment also provides a bidding strategy based on the intelligent agent. The intelligent agent may reduce the time and effort spent by the user in making the autonomous decision. The user entrusts own requirements to the intelligent agent, the intelligent agent replaces the user to conduct a bidding process, and the user requirements are inquired when the expected cost exceeds the baseline cost set by the user. The intelligent agent inputs user requirements and system feedback, and makes decisions instead of the user.
The intelligent agent is realized in a mode that the intelligent agent acquires scheduling information through a scheduling system interface, and a bidding decision process of a user is simulated by combining user requirements and a baseline value set by the user.
The bidding process of the intelligent agent comprises the following steps:
step 1: the user submits the baseline value and the user requirement to the intelligent agent;
step 2: the intelligent agent sends data to the scheduling system and requests primary value evaluation;
and step 3: the intelligent agent combines the user requirements and the system returns to judge whether the value reaches the baseline. If the demand value exceeds the baseline value, the agent prompts the user to select either to increase the baseline or to decrease the demand. If the demand value is lower than the baseline value, the agent replaces the user for bidding and circularly executes the step 3 until the demand value exceeds the baseline value or the user smoothly enters a scheduling user list;
and 4, step 4: and if the agent processing user requirement is successful, the agent process is exited.
In the process of elevator dispatching, there can be a plurality of elevator cooperative dispatching. The problems to be solved by the multi-ladder collaboration include: a. in the case of multiple elevators, not every elevator goes to all floors; b. the multiple elevators cooperate to finish the transportation process of all users; c. the space requirements of the user are made possible by more implementations.
The multi-ladder cooperation solution is as follows: a. each elevator maintains its own sequence of accessible floors, and a dispatch plan is generated with reference to the accessible floors of the elevators during dispatch. b. All elevators are dispatched at one time, and the next operation is started after all elevators stop operating. And simultaneously, the load balancing algorithm is used for ensuring that the single running time of all elevators is close.
There may also be an operation of transferring the right of vote during the elevator dispatching. Generally, users can transfer voting rights to the system without adding value to the system, so that the elevator dispatching system guarantees the maximum waiting time. As a special case, if the users have a binding relationship (i.e. the users transfer the voting right to other users), the bound users need to pay uncertain and unequal values to ensure that the bound users are in the same schedule. That is, the total value required to be bound is the same, but since the base value may not be the same, an unequal amount of additional value is required.
The main idea of the elevator dispatching algorithm in the embodiment is as follows: since in value-driven scheduling, scheduling possibilities are effectively reduced compared to conventional scheduling, and user requirements are significantly richer compared to conventional scheduling, processing using brute force may be a better scheduling approach. The dispatching system inputs the requirements of selected high-value users in the system, and on the basis of meeting all the requirements, the dispatching system brute force traverses all possible conditions and finds out the dispatching plan with the maximum value as an elevator dispatching plan.
In the user demand dimension, due to the completeness of a brute force method, different demands are added into scheduling, and only value evaluation models of different user demands need to be completed and added into an extensible value model, and corresponding demands are added into a scheduling algorithm. The requirements here include, and are not limited to: space requirements and time to reach the destination.
The scheduling algorithm base requirements include: (1) the dispatching takes the whole system as a unit, one dispatching can contain a plurality of times of running of all elevators (generally from the starting point to the terminal point of the plan), and when all elevators complete the running targets from the starting point to the terminal point of the plan, one dispatching is considered to be finished. (2) The time for waiting for the synchronization of the plurality of elevators is the user bidding time.
Atomic operation partitioning using a brute force approach to traverse the underlying solution space:
(1) the user angle is as follows: the elevator is lifted on the floor X, and the elevator is lifted off the floor X;
(2) the elevator angle is as follows: the elevator ascends to the X floor and descends to the Y floor;
the flow of the scheduling algorithm is as follows:
step 1: and traversing all possible dispatches of the elevator according to the accessible floors of the elevator and the starting and ending points of the planned users.
The elevator taking plan of the user with the maximum value under the current elevator dispatching can be output.
Step 2: and outputting the optimal user elevator taking plan under the optimal dispatching plan.
And step 3: and repeating the step 1 and the step 2 until the bidding is finished and outputting the final scheduling plan as the user bids.
The above embodiment describes an elevator dispatching method based on multidimensional data, which includes a model (dispatching subject image) established for a dispatching subject and a dispatching subject value evaluation system for dispatching. The system generally comprises the following two functions:
functional requirements: inputting multi-dimensional data related to a scheduling main body and outputting an actual scheduling plan;
additional requirements: a easily extensible scheduling subject's multidimensional data: the data input by the system except the preset time, space and the like needs to be capable of conveniently adding multi-dimensional data to the system for the user portrait and scheduling decision process of the system; b, maximum user waiting time guarantee based on waiting time: the system should ensure the maximum waiting time of the user and prevent the user from waiting for too long time when the user is in a low priority state for a long time in the scheduling process.
Referring to fig. 4, fig. 4 is a schematic structural diagram of an intelligent sharing device scheduling apparatus for data and information interest exchange according to an embodiment of the present application;
the apparatus may include:
the resource scheduling analysis module 401 is configured to receive a resource scheduling request, and determine a resource scheduling subject and a resource scheduling transaction according to the resource scheduling request; the resource scheduling transaction is a transaction for scheduling the intelligent sharing device;
a user priority determining module 402, configured to determine a user portrait corresponding to the resource scheduling subject, and determine a user priority corresponding to the resource scheduling subject according to the user portrait and the resource scheduling transaction;
and a resource scheduling module 403, configured to generate a resource scheduling plan according to the user priority, and allocate resources to the resource scheduling entity according to the resource scheduling plan.
After receiving the resource scheduling request, the present embodiment determines a resource scheduling subject and a resource scheduling transaction according to the resource scheduling request. The resource scheduling main body is a user requesting to allocate resources, and the resource scheduling transaction is specific information requesting to allocate resources. After determining the user portrait of the resource scheduling subject, the embodiment determines the user priority corresponding to the resource scheduling subject according to the user portrait and the resource scheduling transaction, and the higher the user priority is, the higher the priority of the resource scheduling subject is, the higher the resource is allocated. The resource scheduling plan is generated according to the user priority, and the resource scheduling plan may include the sequence, manner and type of resource scheduling, and may further allocate resources to the resource scheduling subject according to the resource scheduling plan. The user portrait and the resource scheduling transaction can comprise multidimensional data, and further when the user priority is determined according to the user portrait and the resource scheduling transaction, the user priority can be evaluated according to the value of multiple dimensions, so that reasonable scheduling of resources can be achieved, and the use efficiency of the resources is improved.
Further, the method also comprises the following steps:
the user portrait generating module is used for acquiring a resource scheduling log of a user in a historical time period before determining the user portrait corresponding to the resource scheduling main body, and generating user behavior information, user credit information and user use habit information according to the resource scheduling log; and the resource scheduling system is also used for generating the user portrait according to the user behavior information, the user credit information and the user use habit information, and recording the corresponding relation between the user portrait and the resource scheduling main body.
Further, the method also comprises the following steps:
and the user portrait updating module is used for recording the resource use state of the resource scheduling main body after the resources are distributed to the resource scheduling main body according to the resource scheduling plan, and updating the user portrait according to the resource use state.
Further, the user priority determination module 402 is configured to input the user representation and the resource scheduling transaction into a process control model; the processing control model is further used for determining the user priority corresponding to the resource scheduling subject; the processing control model is a model comprising an event value evaluation algorithm, a time value evaluation algorithm and a space value evaluation algorithm.
Further, the method also comprises the following steps:
a resource scheduling plan adjusting module, configured to determine whether a resource emergency scheduling request is received before allocating resources to the resource scheduling main body according to the resource scheduling plan; and if so, adjusting the user priority according to the resource emergency scheduling request, and generating a new resource scheduling plan by using the adjusted user priority.
Further, the resource scheduling module 403 is configured to determine a scheduling queue number of the resource scheduling subject according to the resource scheduling plan; the scheduling queue sequence number is negatively related to the user priority, and the smaller the scheduling queue sequence number is, the more preferentially the resource is distributed; the resource scheduling main body is also used for judging whether the scheduling queue serial number of the resource scheduling main body is in a preset interval or not; if not, judging whether the resource scheduling main body has a priority queuing authority or not; and if the resource scheduling main body has the priority queuing authority, the user priority of the resource scheduling main body is adjusted until the scheduling queue serial number of the resource scheduling main body is within a preset interval.
Further, the resource scheduling request is a request for scheduling the intelligent sharing device.
Since the embodiments of the apparatus portion and the method portion correspond to each other, please refer to the description of the embodiments of the method portion for the embodiments of the apparatus portion, which is not repeated here.
The present application also provides a storage medium having a computer program stored thereon, which when executed, may implement the steps provided by the above-described embodiments. The storage medium may include: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The application further provides an electronic device, which may include a memory and a processor, where the memory stores a computer program, and the processor may implement the steps provided by the foregoing embodiments when calling the computer program in the memory. Of course, the electronic device may also include various network interfaces, power supplies, and the like.
The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description. It should be noted that, for those skilled in the art, it is possible to make several improvements and modifications to the present application without departing from the principle of the present application, and such improvements and modifications also fall within the scope of the claims of the present application.
It is further noted that, in the present specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Claims (10)
1. A data and information interest exchange oriented intelligent sharing device scheduling method is characterized by comprising the following steps:
receiving a resource scheduling request, and determining a resource scheduling main body and a resource scheduling transaction according to the resource scheduling request; the resource scheduling transaction is a transaction for scheduling the intelligent sharing device;
determining a user portrait corresponding to the resource scheduling subject, and determining a user priority corresponding to the resource scheduling subject according to the user portrait and the resource scheduling transaction;
and generating a resource scheduling plan according to the user priority, and allocating resources to the resource scheduling main body according to the resource scheduling plan.
2. The intelligent sharing device scheduling method of claim 1, further comprising, before determining the user profile corresponding to the resource scheduling subject:
acquiring a resource scheduling log of a user in a historical time period, and generating user behavior information, user credit information and user use habit information according to the resource scheduling log;
and generating the user portrait according to the user behavior information, the user credit information and the user use habit information, and recording the corresponding relation between the user portrait and the resource scheduling main body.
3. The intelligent sharing device scheduling method of claim 1, further comprising, after allocating resources to the resource scheduling subject according to the resource scheduling plan:
and recording the resource use state of the resource scheduling main body, and updating the user portrait according to the resource use state.
4. The intelligent sharing device scheduling method of claim 1, wherein determining the user priority corresponding to the resource scheduling subject according to the user icon and the resource scheduling transaction comprises:
inputting the user representation and the resource scheduling transaction into a process control model;
determining the user priority corresponding to the resource scheduling main body by utilizing the processing control model; the processing control model is a model comprising an event value evaluation algorithm, a time value evaluation algorithm and a space value evaluation algorithm.
5. The intelligent sharing device scheduling method of claim 1, before allocating resources to the resource scheduling subject according to the resource scheduling plan, further comprising:
judging whether a resource emergency scheduling request is received;
and if so, adjusting the user priority according to the resource emergency scheduling request, and generating a new resource scheduling plan by using the adjusted user priority.
6. The intelligent sharing device scheduling method of claim 1, wherein allocating resources to the resource scheduling subject according to the resource scheduling plan comprises:
determining a scheduling queue number of the resource scheduling main body according to the resource scheduling plan; the scheduling queue sequence number is negatively related to the user priority, and the smaller the scheduling queue sequence number is, the more preferentially the resource is distributed;
judging whether the scheduling queue serial number of the resource scheduling main body is in a preset interval or not;
if not, judging whether the resource scheduling main body has a priority queuing authority or not;
and if the resource scheduling main body has the priority queuing authority, adjusting the user priority of the resource scheduling main body until the scheduling queue serial number of the resource scheduling main body is within a preset interval.
7. The intelligent sharing device scheduling method of claim 1, wherein the resource scheduling request is a request for scheduling the intelligent sharing device.
8. An intelligent sharing device scheduling device facing data and information interest exchange, comprising:
the resource scheduling analysis module is used for receiving a resource scheduling request and determining a resource scheduling main body and a resource scheduling transaction according to the resource scheduling request; the resource scheduling transaction is a transaction for scheduling the intelligent sharing device;
the user priority determining module is used for determining a user portrait corresponding to the resource scheduling main body and determining the user priority corresponding to the resource scheduling main body according to the user portrait and the resource scheduling transaction;
and the resource scheduling module is used for generating a resource scheduling plan according to the user priority and allocating resources to the resource scheduling main body according to the resource scheduling plan.
9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, and the processor when calling the computer program in the memory implements the steps of the intelligent sharing device scheduling method for exchange of data and information benefits according to any of claims 1 to 7.
10. A storage medium having stored thereon computer-executable instructions which, when loaded and executed by a processor, carry out the steps of the method for intelligently sharing device scheduling for exchange of data and information benefits according to any one of claims 1 to 7.
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