CN116912993A - Clothes washing service providing method of shared washing machine based on Internet of things - Google Patents

Abstract

The invention relates to the technical field of queuing registration, in particular to a shared washing machine clothes service providing method based on the Internet of things, which comprises the following steps: acquiring washing reservation information corresponding to each target user and washing machine specification information corresponding to each target shared washing machine; generating an initial queuing information set based on the washing reservation information set and the washing machine specification information set; determining the washing operation efficiency, the washing time rate and the target washing efficiency corresponding to the initial queuing information; screening initial queuing information with maximum target washing efficiency from the initial queuing information set; and according to the target queuing information, washing and queuing the target users under the target shared washing machines. The invention realizes the washing queuing of a plurality of users under a plurality of shared washing machines and improves the rationality of the washing queuing of the plurality of users under the plurality of shared washing machines.

Description

Clothes washing service providing method of shared washing machine based on Internet of things

Technical Field

The invention relates to the technical field of queuing registration, in particular to a clothes washing service providing method of a shared washing machine based on the Internet of things.

Background

Among people living in large cities, a large part of people belong to tenant groups, and in the process of purchasing household appliances, the groups are often difficult to choose due to the purchase cost and the moving difficulty of the household appliances, and the shared washing machine is produced. Because the user group facing the shared laundry service is clear, the service time is relatively concentrated, and the use congestion phenomenon in the peak period is easy to cause. Therefore, it is often necessary to queue laundry for multiple users under multiple shared washing machines so that each shared washing machine can be fully utilized. Currently, when queuing is performed, the following methods are generally adopted: queuing is performed based on the order of the reserved time.

However, when laundry queuing is performed for a plurality of users under a plurality of shared washing machines based on the order of reserved time, there are often the following technical problems:

because the specifications of the shared washing machines are often different to accommodate users with different washing clothes amounts, for example, the maximum clothes amounts that can be carried by different shared washing machines are often different, if only the sequencing of the reserved time is considered when the washing queuing is performed, the washing machines with more clothes amounts can be possibly allocated with less clothes amounts when the washing machines with more clothes amounts are operated, and the washing machines with less clothes amounts can be allocated with more clothes amounts to be operated for a plurality of times, so that the washing operation efficiency is low, and the rationality of washing queuing for a plurality of users under a plurality of shared washing machines is low.

Disclosure of Invention

The summary of the invention is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. The summary of the invention is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.

In order to solve the technical problem that the rationality of washing and queuing for a plurality of users is low under a plurality of shared washing machines, the invention provides a clothes washing service providing method of the shared washing machines based on the Internet of things.

The invention provides a clothes washing service providing method of a shared washing machine based on the Internet of things, which comprises the following steps:

the method comprises the steps of obtaining washing reservation information corresponding to each target user and washing machine specification information corresponding to each target shared washing machine, and obtaining a washing reservation information set and a washing machine specification information set;

generating an initial queuing information set based on the washing reservation information set and the washing machine specification information set;

determining the washing operation efficiency corresponding to the initial queuing information according to the reference laundry amount included in the specification information of the washing machine corresponding to each target shared washing machine, the target user sequence corresponding to each target shared washing machine included in each initial queuing information, and the laundry amount of each target shared washing machine included in the initial queuing information when each operation is performed;

Determining the washing time rate corresponding to the initial queuing information according to the reserved clothes taking time and reserved clothes taking sequence number which are included in the washing reserved information corresponding to each target user and the washing completion sequence number and washing completion time which are included in each initial queuing information and correspond to each target user;

determining target washing efficiency corresponding to the initial queuing information according to washing operation efficiency and washing time rate corresponding to each initial queuing information;

screening initial queuing information with the maximum target washing efficiency from the initial queuing information set to serve as target queuing information;

and according to the target queuing information, washing and queuing the target users under the target sharing washing machines.

Optionally, the determining, according to the reference laundry amount included in the specification information of the washing machine corresponding to each target shared washing machine, the target user sequence corresponding to each target shared washing machine included in each initial queuing information, and the laundry amount of each target shared washing machine included in the initial queuing information when each target shared washing machine is operated, the laundry operation efficiency corresponding to the initial queuing information includes:

determining the accumulated sum of the estimated completion time lengths corresponding to all target users in a target user sequence corresponding to each target shared washing machine included in the initial queuing information as the overall estimated time length of the target shared washing machine under the initial queuing information;

Determining an average value of the clothes amount of each target shared washing machine in each running process, which is included in the initial queuing information, as an average clothes amount of the target shared washing machine under the initial queuing information;

and determining the washing operation efficiency corresponding to the initial queuing information according to the reference clothes amount included in the washing machine specification information corresponding to each target shared washing machine, the overall expected duration of each target shared washing machine under the initial queuing information and the average clothes amount.

Optionally, the determining the washing operation efficiency corresponding to the initial queuing information according to the reference laundry amount included in the specification information of the washing machine corresponding to each target shared washing machine, the overall predicted duration of each target shared washing machine under the initial queuing information, and the average laundry amount includes:

determining the average clothes amount of each target shared washing machine under the initial queuing information, and determining the duty ratio of the target shared washing machine in the reference clothes amount included in the corresponding washing machine specification information of the target shared washing machine as the target full load rate of the target shared washing machine under the initial queuing information;

determining a first operation index and a representative operation index of each target shared washing machine under the initial queuing information according to the target full load rate and the overall predicted duration of each target shared washing machine under the initial queuing information;

Determining the overall stability degree corresponding to the initial queuing information according to a first operation index and a representative operation index of each target shared washing machine under the initial queuing information;

determining the overall full load rate corresponding to the initial queuing information according to the target full load rate of each target shared washing machine under the initial queuing information, wherein the target full load rate and the overall full load rate are positively correlated;

and determining the washing operation efficiency corresponding to the initial queuing information according to the integral full load rate and the integral stability corresponding to the initial queuing information, wherein the integral full load rate and the integral stability are positively correlated with the washing operation efficiency.

Optionally, the determining, according to the first operation index and the representative operation index of each target shared washing machine under the initial queuing information, the overall stability degree corresponding to the initial queuing information includes:

determining the square of the difference between the first operation index and the representative operation index of each target shared washing machine under the initial queuing information as the first difference of the target shared washing machines under the initial queuing information;

and determining the overall stability degree corresponding to the initial queuing information according to the first difference of each target sharing washing machine under the initial queuing information, wherein the first difference is inversely related to the overall stability degree.

Optionally, the determining the first operation index and the representative operation index of each target shared washing machine under the initial queuing information according to the target full load rate and the overall predicted duration of each target shared washing machine under the initial queuing information includes:

determining a first operation index of the target shared washing machine under the initial queuing information according to the target full load rate and the overall estimated time length of the target shared washing machine under the initial queuing information, wherein the target full load rate and the overall estimated time length are positively correlated with the first operation index;

screening out similar washing machine sets corresponding to each target sharing washing machine from the target sharing washing machines;

and determining the average value of the first operation indexes of all the similar washing machines in the similar washing machine set corresponding to the target shared washing machine under the initial queuing information as the representative operation index of the target shared washing machine under the initial queuing information.

Optionally, the determining the washing time rate corresponding to the initial queuing information according to the reserved clothes taking time and reserved clothes taking sequence number included in the washing reserved information corresponding to each target user, and the washing completion sequence number and washing completion time corresponding to each target user included in each initial queuing information includes:

Determining a first time rate corresponding to the initial queuing information according to the reserved clothes taking sequence number included in the clothes washing reserved information corresponding to each target user and the clothes washing completion sequence number corresponding to each target user included in the initial queuing information;

determining a second time rate corresponding to the initial queuing information according to the reserved clothes taking time included by the clothes washing reserved information corresponding to each target user and the clothes washing completion time corresponding to each target user included by the initial queuing information;

and determining the washing time rate corresponding to the initial queuing information according to the first time rate and the second time rate corresponding to the initial queuing information, wherein the first time rate and the second time rate are positively related to the washing time rate.

Optionally, the determining the first time rate corresponding to the initial queuing information according to the reserved clothes taking sequence number included in the clothes taking reservation information corresponding to each target user and the clothes finishing sequence number corresponding to each target user included in the initial queuing information includes:

determining a washing completion sequence number corresponding to each target user included in the initial queuing information as the washing completion sequence number of the target user under the initial queuing information;

Determining the absolute value of the difference value between the reserved clothes taking sequence number included in the clothes washing reserved information corresponding to each target user and the clothes washing completion sequence number of the target user under the initial queuing information as the sequence number difference of the target user under the initial queuing information;

and determining a first time rate corresponding to the initial queuing information according to the sequence number difference of each target user under the initial queuing information, wherein the sequence number difference is inversely related to the first time rate.

Optionally, the determining the second time rate corresponding to the initial queuing information according to the reserved clothes taking time included in the clothes taking reserved information corresponding to each target user and the clothes finishing time corresponding to each target user included in the initial queuing information includes:

determining the reserved clothes taking time included in the clothes washing reserved information corresponding to each target user as the reserved clothes taking time corresponding to the target user;

determining the laundry completion time corresponding to each target user included in the initial queuing information as the laundry completion time of the target user under the initial queuing information;

determining a difference value between the reserved clothes taking time corresponding to the target user and the clothes washing completion time of the target user under the initial queuing information as a time difference of the target user under the initial queuing information;

And determining a second time rate corresponding to the initial queuing information according to the time difference of each target user under the initial queuing information, wherein the time difference is positively correlated with the second time rate.

Optionally, the laundry operation efficiency and the laundry time rate are both positively correlated with the target laundry efficiency.

Optionally, according to the target queuing information, performing laundry queuing on each target user under each target shared washing machine, including:

and determining a target user sequence corresponding to each target shared washing machine included in the target queuing information as a final washing queuing.

The invention has the following beneficial effects:

the clothes washing service providing method of the sharing washing machine based on the Internet of things realizes the washing queuing of a plurality of users under a plurality of sharing washing machines, solves the technical problem of lower rationality of the washing queuing of the plurality of users under the plurality of sharing washing machines, and improves the rationality of the washing queuing of the plurality of users under the plurality of sharing washing machines. Firstly, the acquired washing reservation information set and the washing machine specification information set are comprehensively considered, initial queuing information can be generated preliminarily, target queuing information can be conveniently screened out from the initial queuing information set later, the more the initial queuing information in the initial queuing information set is, the more reasonable the washing queuing corresponding to the finally screened target queuing information is. Then, in order to adapt to users with different washing clothes amounts, the specifications of the shared washing machines are often different, for example, the maximum clothes amount that can be carried by different shared washing machines is often different, and in the washing peak period, each shared washing machine is often required to be fully utilized, at this time, the closer the clothes amount required by the specification information of the shared washing machine is to the clothes amount required by the specification information of the shared washing machine, the more the shared washing machine is fully utilized, the higher the operation efficiency is, so that the accuracy of quantification of the washing operation efficiency corresponding to the initial queuing information can be improved by comprehensively considering the reference clothes amount included by the specification information of the washing machine corresponding to each target shared washing machine, the target user sequence corresponding to each target shared washing machine included by each initial queuing information, and the clothes amount of each target shared washing machine included by the initial queuing information in each operation. Then, during the washing peak period, the more the ordered clothes taking sequence of the user is close to the ordered clothes taking sequence, the more the corresponding clothes taking queue accords with the expected time of the ordered clothes taking, the less the clothes taking time of the same user is, the more the corresponding clothes taking queue accords with the expected time of the ordered clothes taking, and the more timely clothes washing is indicated, so that the accuracy of quantification of the clothes taking time and the ordered clothes taking sequence included in the clothes taking reservation information corresponding to each target user, the clothes taking sequence and the clothes taking time corresponding to each target user included in each initial queuing information are comprehensively considered, and the accuracy of quantification of the clothes taking time corresponding to the initial queuing information can be improved. And then, comprehensively considering the washing operation efficiency and the washing time rate corresponding to the initial queuing information, and improving the accuracy of determining the target washing efficiency corresponding to the initial queuing information. Finally, according to the target queuing information, the washing queuing is carried out on each target user under each target shared washing machine, so that the washing queuing of a plurality of users under a plurality of shared washing machines can be realized. Compared with the washing queuing which is carried out by considering only the sequencing of the reservation time, the washing queuing method disclosed by the invention comprehensively considers the washing reservation information set and the washing machine specification information set, and quantifies a plurality of indexes such as the washing operation efficiency, the washing time rate, the target washing efficiency and the like corresponding to the initial queuing information, thereby improving the rationality of carrying out washing queuing on a plurality of target users under the condition of sharing the washing machine by a plurality of targets.

Drawings

In order to more clearly illustrate the embodiments of the invention or the technical solutions and advantages of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.

Fig. 1 is a flowchart of a clothes washing service providing method of a shared washing machine based on the internet of things.

Detailed Description

In order to further describe the technical means and effects adopted by the present invention to achieve the preset purpose, the following detailed description is given below of the specific implementation, structure, features and effects of the technical solution according to the present invention with reference to the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" means that the embodiments are not necessarily the same. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

The invention provides a clothes washing service providing method of a shared washing machine based on the Internet of things, which comprises the following steps:

the method comprises the steps of obtaining washing reservation information corresponding to each target user and washing machine specification information corresponding to each target shared washing machine, and obtaining a washing reservation information set and a washing machine specification information set;

generating an initial queuing information set based on the washing reservation information set and the washing machine specification information set;

determining the washing operation efficiency corresponding to the initial queuing information according to the reference laundry amount included in the specification information of the washing machine corresponding to each target shared washing machine, the target user sequence corresponding to each target shared washing machine included in each initial queuing information, and the laundry amount of each target shared washing machine included in the initial queuing information when each operation is performed;

determining the washing time rate corresponding to the initial queuing information according to the reserved clothes taking time and reserved clothes taking sequence number which are included in the washing reserved information corresponding to each target user and the washing completion sequence number and washing completion time which are included in each initial queuing information and correspond to each target user;

determining target washing efficiency corresponding to the initial queuing information according to washing operation efficiency and washing time rate corresponding to each initial queuing information;

Screening out initial queuing information with the maximum target washing efficiency from the initial queuing information set, and taking the initial queuing information as target queuing information;

and according to the target queuing information, washing and queuing the target users under the target sharing washing machines.

The following detailed development of each step is performed:

referring to fig. 1, a flow of some embodiments of a shared washing machine laundry providing method based on the internet of things according to the present invention is shown. The clothes washing service providing method of the sharing washing machine based on the Internet of things comprises the following steps:

step S1, washing reservation information corresponding to each target user and washing machine specification information corresponding to each target shared washing machine are obtained, and a washing reservation information set and a washing machine specification information set are obtained.

In some embodiments, the laundry reservation information corresponding to each target user and the washing machine specification information corresponding to each target shared washing machine may be obtained, so as to obtain a laundry reservation information set and a washing machine specification information set.

The target user may be a user who reserves to share the laundry service within a preset period of time. For example, the target user may be a young person who reserves a house renting for sharing the laundry service for a preset period of time. The shared laundry service of the outfitting staff may include: the user makes a reservation by himself or directly to a store at the mobile phone to give the clothes to the staff, and then waits for the clothes to be washed. The preset time period may be a preset time period. For example, the preset period may be a period corresponding to a peak period of use of the shared washing machine, which is preset according to experience. The laundry subscription information may be subscription information related to laundry services. For example, the laundry reservation information may include, but is not limited to: reserving clothes taking time, reserving clothes cleaning quantity and reserving time. The reserved clothes taking time can be clothes taking time reserved by a target user. The reserved cleaning clothes amount may be an amount of clothes to be cleaned reserved by the target user. The reservation time may be a time when the target user reserves to share the laundry service. The target shared washing machine may be a shared washing machine in which a laundry reservation can be made. The shared washing machine may be a washing machine participating in the internet of things. The washing machine specification information may be specification information of the target shared washing machine. For example, the washing machine specification information may include, but is not limited to: reference laundry amount and operation time corresponding to each washing range. Wherein the reference laundry amount may be the maximum laundry amount that the target shared washing machine can endure.

The method is characterized in that the washing reservation information set and the washing machine specification information set are acquired, so that washing queuing can be conveniently carried out on a plurality of target users under the condition that the plurality of target users share the washing machine.

As an example, laundry reservation information filled by each target user who reserves laundry washing for a preset period of time may be collected, and washing machine specification information corresponding to each target shared washing machine may be collected.

Step S2, generating an initial queuing information set based on the washing reservation information set and the washing machine specification information set.

In some embodiments, the initial queuing information set may be generated based on the laundry reservation information set and the washing machine specification information set.

The initial queuing information may be queuing information for performing a washing queuing for each target user under each target shared washing machine. The initial queuing information in the initial queuing information set may correspond to the laundry queuing one by one. For example, the initial queuing information may include: the method comprises the steps of a target user sequence corresponding to each target shared washing machine, the clothes amount of each target shared washing machine in each running, the expected completion time corresponding to each target user in the target user sequence corresponding to each target shared washing machine, the washing completion sequence number corresponding to each target user and the washing completion time.

The target users in the target user sequence corresponding to the target shared washing machine can be the target users of the target shared washing machine, wherein after a certain washing queue, clothes are distributed to the target users. The target user sequence corresponding to the target shared washing machine may be a queue in which laundry is assigned to a target user of the target shared washing machine after a certain laundry queue.

The laundry amount of the target shared washing machine at each operation may be a laundry amount allocated to the target shared washing machine at each operation after a certain laundry queue. The expected completion time corresponding to the target user may be the time required to clean the clothes of the target user after a certain laundry queue.

The washing completion sequence number corresponding to the target user may be a sequence number obtained by sequencing from the early to the late according to the washing completion time of the clothes. The target users with the same washing completion time can have the same corresponding washing completion serial numbers. For example, if the laundry completion time corresponding to the first target user and the second target user are both the first time, the laundry completion time corresponding to the third target user is the second time, and the first time is earlier than the second time, the laundry completion numbers corresponding to the first target user and the second target user may be 1, and the laundry completion number corresponding to the third target user may be 2. The laundry completion time corresponding to the target user may be the laundry washing completion time of the target user after a certain laundry queuing.

It should be noted that, by comprehensively considering the acquired washing reservation information set and the washing machine specification information set, initial queuing information can be generated preliminarily, so that target queuing information can be conveniently screened out from the initial queuing information set later, and the more abundant the initial queuing information in the initial queuing information set, the more reasonable the washing queuing corresponding to the finally screened target queuing information.

As an example, based on the laundry reservation information set and the washing machine specification information set, in the case that the preset constraint condition is satisfied, laundry queuing is randomly performed on each target user under each target shared washing machine, and queuing information is generated and used as initial queuing information, so as to obtain an initial queuing information set. The preset constraint conditions may include: clothes of the same target user can only be distributed to the same target shared washing machine in each washing queue; each target sharing washing machine finishes washing clothes of one target user, and then the clothes of the next target user can be washed; the laundry amount allocated to each operation of the target shared washing machine may not exceed its corresponding reference laundry amount.

Step S3, determining the washing operation efficiency corresponding to the initial queuing information according to the reference laundry amount included in the specification information of the washing machine corresponding to each target shared washing machine, the target user sequence corresponding to each target shared washing machine included in each initial queuing information, and the laundry amount of each target shared washing machine included in the initial queuing information when each operation is performed.

In some embodiments, the laundry operation efficiency corresponding to the initial queuing information may be determined according to the reference laundry amount included in the specification information of the laundry machine corresponding to each target shared laundry machine, the target user sequence corresponding to each target shared laundry machine included in each initial queuing information, and the laundry amount of each target shared laundry machine included in the initial queuing information during each operation.

It should be noted that, in order to adapt to users with different laundry amounts, the specifications of the shared washing machines are often different, for example, the maximum laundry amounts that can be carried by different shared washing machines are often different, and in the peak period of washing, it is often required that each shared washing machine can be fully utilized, at this time, the closer the laundry amount required by the specification information of the shared washing machine is to the laundry amount required by the specification information of the shared washing machine, the more the shared washing machine can be fully utilized, and the higher the operation efficiency is, so the accuracy of quantification of the washing operation efficiency corresponding to the initial queuing information can be improved by comprehensively considering the reference laundry amount included in the specification information of the washing machine corresponding to each target shared washing machine, the target user sequence corresponding to each target shared washing machine included in each initial queuing information, and the laundry amount of each target shared washing machine corresponding to the initial queuing information during each operation.

As an example, this step may include the steps of:

and determining the accumulated sum of the estimated completion time lengths corresponding to all target users in the target user sequences corresponding to all target shared washing machines included in the initial queuing information as the overall estimated time length of the target shared washing machines under the initial queuing information.

And a second step of determining an average value of the laundry amounts of each target shared washing machine included in the initial queuing information at each operation as an average laundry amount of the target shared washing machine under the initial queuing information.

Third, determining the washing operation efficiency corresponding to the initial queuing information according to the reference laundry amount included in the specification information of the washing machine corresponding to each target shared washing machine, the overall predicted time length and the average laundry amount of each target shared washing machine under the initial queuing information, and the method may include the sub-steps of:

a first sub-step of determining an average laundry amount of each target shared washing machine under the initial queuing information, and a duty ratio of the target shared washing machine in a reference laundry amount included in the washing machine specification information corresponding to the target shared washing machine, as a target full load ratio of the target shared washing machine under the initial queuing information.

A second sub-step of determining a first operation index and a representative operation index of each target shared washing machine under the initial queuing information according to the target full load rate and the overall predicted time length of the target shared washing machine under the initial queuing information, wherein the first operation index and the representative operation index of each target shared washing machine under the initial queuing information may comprise the steps of:

first, determining a first operation index of the target shared washing machine under the initial queuing information according to the target full load rate and the overall predicted duration of the target shared washing machine under the initial queuing information.

Wherein, the target full load rate and the overall predicted time length can be positively correlated with the first operation index.

And then, screening out the similar washing machine set corresponding to each target sharing washing machine from the target sharing washing machines.

Wherein, the specification information of the washing machines corresponding to each similar washing machine in the target shared washing machine and the corresponding similar washing machine set can be the same.

If the specification information of the washing machine corresponding to a certain target shared washing machine is the first washing machine specification information, the target shared washing machine with the specification information of the washing machine being the first washing machine specification information can be selected from the target shared washing machines except the target shared washing machine, and the target shared washing machine is taken as a similar washing machine, so that a similar washing machine set corresponding to the target shared washing machine is obtained.

And finally, determining the average value of the first operation indexes of all similar washing machines in the similar washing machine set corresponding to the target shared washing machine under the initial queuing information as the representative operation index of the target shared washing machine under the initial queuing information.

A third sub-step of determining the overall stability corresponding to the initial queuing information according to the first operation index and the representative operation index of each target shared washing machine under the initial queuing information, wherein the third sub-step may include the steps of:

first, the square of the difference between the first operation index and the representative operation index of each target shared washing machine under the initial queuing information is determined as the first difference of the target shared washing machines under the initial queuing information.

And then, determining the overall stability degree corresponding to the initial queuing information according to the first difference of each target shared washing machine under the initial queuing information.

Wherein the first difference may be inversely related to the overall degree of stability.

And a fourth sub-step of determining the whole full rate corresponding to the initial queuing information according to the target full rate of each target shared washing machine under the initial queuing information.

Wherein the target full rate may be positively correlated with the overall full rate.

And a fifth sub-step of determining the washing operation efficiency corresponding to the initial queuing information according to the overall full load rate and the overall stability corresponding to the initial queuing information.

Wherein, the whole full load rate and the whole stability degree can be positively correlated with the washing operation efficiency.

For example, the formula corresponding to the washing operation efficiency corresponding to the initial queuing information may be:

；

wherein,,the washing operation efficiency corresponding to the ith initial queuing information in the initial queuing information set, namely the washing operation efficiency after washing and queuing according to the ith initial queuing information. i is the sequence number of the initial queuing information in the initial queuing information set. />Is a representative operation index of the jth target shared washing machine under the ith initial queuing information. j is the serial number of the target shared washing machine. />Is the number of similar washing machines in the set of similar washing machines corresponding to the jth target shared washing machine. />Is the overall estimated time length of the a-th similar washing machine under the i-th initial queuing information in the similar washing machine set corresponding to the j-th target shared washing machine. a is the serial number of the similar washing machine in the similar washing machine set corresponding to the jth target shared washing machine. / >Is the average laundry amount of the a-th similar washing machine under the i-th initial queuing information in the similar washing machine set corresponding to the j-th target shared washing machine. />Is the similar washing machine set corresponding to the j-th target shared washing machine, the reference laundry amount, +_f included in the specification information of the laundry machine corresponding to the a-th similar laundry machine>。/>Is the target full load rate of the jth target shared washing machine under the ith initial queuing information in the similar washing machine set corresponding to the jth target shared washing machine. />Is the first operation index of the jth target shared washing machine under the ith initial queuing information in the similar washing machine set corresponding to the jth target shared washing machine. />Is the integral stabilization process corresponding to the ith initial queuing informationDegree.Is the first difference of the jth target shared washing machine under the ith initial queuing information. />Is a normalization function. n is the number of target shared washing machines. />Is the first operation index of the jth target shared washing machine under the ith initial queuing information. />Is the target full load rate of the jth target shared washing machine under the ith initial queuing information. />Is the overall estimated duration of the jth target shared washing machine under the ith initial queuing information. / >Is the average laundry amount of the jth target shared washing machine under the ith initial queuing information. />Is the reference laundry amount included in the specification information of the washing machine corresponding to the jth target shared washing machine. />Is the overall full load rate corresponding to the ith initial queuing information.

When the following is performedThe larger the target sharing washing machine is, the higher the full load rate of the jth target sharing washing machine is under the ith initial queuing information; often, the higher the full load rate corresponding to the jth target shared washing machine is when washing is queued corresponding to the ith initial queuing information; often, when washing is queued corresponding to the ith initial queuing information, the jth targetThe higher the utilization of the target sharing washing machine. Thus, when->The larger the target shared washing machine is, the higher the full load rate of each target shared washing machine under the ith initial queuing information is; often, when washing is queued corresponding to the ith initial queuing information, the higher the utilization rate of each target sharing washing machine is; it is often explained that the higher the washing operation efficiency at the time of the washing queue corresponding to the i-th initial queuing information. Due to->The operation condition of the jth target shared washing machine under the ith initial queuing information can be characterized. />The integral operation condition of the shared washing machine with the same specification as the j target shared washing machine can be represented when the washing queue corresponding to the i initial queuing information is in the washing queue. So when- >The smaller the time, the more similar the operation state between the jth target shared washing machine and the shared washing machine with the same specification is when the ith initial queuing information corresponds to the washing queue. Therefore->The larger the target shared washing machine is, the more similar the running state between the target shared washing machines and the shared washing machines with the same specification is, and the more similar the utilization rate between the target shared washing machines and the shared washing machines with the same specification is. Thus->When the target shared washing machines are larger, the utilization rate of the target shared washing machines is often indicated to be more similar to that of the shared washing machines with the same specification when the washing queue corresponding to the ith initial queuing information is formed, and the utilization rate of the target shared washing machines is higher; tend to be described in the firstThe higher the washing operation efficiency when the washing is queued corresponding to the i initial queuing information.

And S4, determining the washing time rate corresponding to the initial queuing information according to the reserved clothes taking time and reserved clothes taking sequence number which are included in the washing reserved information corresponding to each target user, and the washing completion sequence number and the washing completion time which are included in each initial queuing information and correspond to each target user.

In some embodiments, the washing time rate corresponding to the initial queuing information may be determined according to the reserved clothes taking time and reserved clothes taking sequence number included in the washing reserved information corresponding to each target user, and the washing completion sequence number and the washing completion time corresponding to each target user included in each initial queuing information.

It should be noted that, during the washing peak period, the closer the ordering of clothes to be washed is, the more the corresponding clothes-washing queue is in accordance with the expected of the ordering, and the smaller the clothes-washing completion time of the same user is in accordance with the expected of the ordering, the more the corresponding clothes-washing queue is in accordance with the expected of the ordering, and the more timely the clothes are washed, so that the accuracy of quantification of the clothes time rate corresponding to the initial queuing information can be improved by comprehensively considering the ordered clothes-taking time and ordered clothes-taking sequence number included in the clothes-washing reservation information corresponding to each target user, and the clothes-washing completion sequence number and clothes-washing completion time corresponding to each target user included in each initial queuing information.

As an example, this step may include the steps of:

the first step, the acquisition mode of the reserved clothes taking sequence number included in the clothes taking reservation information corresponding to the target user may include: sequencing all target users according to the reserved clothes taking time included in the clothes washing reserved information corresponding to each target user, determining reserved clothes taking serial numbers corresponding to all target users, and taking the reserved clothes taking serial numbers corresponding to all target users as reserved clothes taking serial numbers included in the clothes washing reserved information corresponding to the target users.

For example, the target users may be sorted according to the preset clothes taking time included in the clothes washing preset information corresponding to the target users in the order from the morning to the evening, and the serial number corresponding to each target user obtained by the sorting is used as the preset clothes taking serial number corresponding to each target user.

For example, if the reserved clothes taking time corresponding to the first target user and the second target user is the third time, the reserved clothes taking time corresponding to the third target user is the fourth time, and the third time is earlier than the fourth time, the reserved clothes taking sequence numbers corresponding to the first target user and the second target user may be 1, and the reserved clothes taking sequence number corresponding to the third target user may be 2.

The second step, according to the reserved clothes taking sequence number included in the clothes washing reserved information corresponding to each target user and the clothes washing completion sequence number corresponding to each target user included in the initial queuing information, determining the first time rate corresponding to the initial queuing information may include the following substeps:

and a first sub-step of determining the washing completion serial number corresponding to each target user included in the initial queuing information as the washing completion serial number of the target user under the initial queuing information.

And a second sub-step of determining the absolute value of the difference between the reserved clothes taking sequence number included in the clothes washing reserved information corresponding to each target user and the clothes washing completion sequence number of the target user under the initial queuing information as the sequence number difference of the target user under the initial queuing information.

And a third sub-step of determining a first time rate corresponding to the initial queuing information according to the sequence number difference of each target user under the initial queuing information.

Wherein the sequence number difference may be inversely related to the first time rate.

For example, the formula for determining the first time rate corresponding to the initial queuing information may be:

；

wherein,,is the first time rate corresponding to the ith initial queuing information in the initial queuing information set. i is the sequence number of the initial queuing information in the initial queuing information set. />Is a normalization function. m is the number of target users. />Is a function of absolute value. />Is the reserved clothes-taking sequence number included in the clothes-washing reserved information corresponding to the kth target user. k is the sequence number of the target user. />Is the washing completion serial number of the kth target user under the ith initial queuing information. />Is the sequence number difference of the kth target user under the ith initial queuing information. Q is the largest reserved clothes-taking sequence number in reserved clothes-taking sequence numbers included in the clothes-taking reserved information corresponding to each target user.

When the following is performedThe smaller the clothes are, the more similar the reserved clothes taking sequence number and the clothes washing completion sequence number corresponding to the kth target user are in the clothes washing queuing corresponding to the ith initial queuing information, and the more similar the reserved clothes taking sequence and the clothes washing completion sequence corresponding to the kth target user are in the clothes washing queuing corresponding to the ith initial queuing information. Thus->When the clothes are larger, the clothes are scheduled to be taken by each target user and the clothes are finished by the corresponding clothes queue corresponding to the ith initial queuing information, and the clothes are scheduled to be taken by each target user and the clothes are finished by the corresponding clothes queue corresponding to the ith initial queuing informationWhen the clothes taking ordering and the clothes washing completion ordering of the reservation corresponding to each target user are more similar, the clothes washing queuing corresponding to the ith initial queuing information is more consistent with the reservation expectation, and the clothes washing queuing corresponding to the ith initial queuing information is more fair and reasonable.

The third step, according to the reserved clothes taking time included in the clothes washing reserved information corresponding to each target user and the clothes washing completion time corresponding to each target user included in the initial queuing information, determining the second time rate corresponding to the initial queuing information may include the following substeps:

And a first substep, determining the reserved clothes taking time included in the clothes washing reserved information corresponding to each target user as the reserved clothes taking time corresponding to the target user.

And a second sub-step of determining the laundry completion time corresponding to each target user included in the initial queuing information as the laundry completion time of the target user under the initial queuing information.

And a third sub-step of determining the difference between the reserved clothes taking time corresponding to the target user and the clothes washing completion time of the target user under the initial queuing information as the time difference of the target user under the initial queuing information.

And a fourth sub-step of determining a second time rate corresponding to the initial queuing information according to the time difference of each target user under the initial queuing information.

Wherein the time difference may be positively correlated with the second time of day.

For example, the formula for determining the second time rate corresponding to the initial queuing information may be:

；

wherein,,is the second time rate corresponding to the ith initial queuing information in the initial queuing information set. i is in the initial queuing information setSequence number of initial queuing information. />Is a normalization function. m is the number of target users. / >Is the reserved clothes taking time corresponding to the kth target user. k is the sequence number of the target user. />Is the laundry completion time of the kth target user under the ith initial queuing information. T is a preset time length greater than 0, for example, T can be the maximum time length between each washing completion time and each reserved clothes taking time. />Is the time difference of the kth target user under the ith initial queuing information.

When the following is performedWhen the clothes are larger, the clothes taking time reserved by the kth target user is later than the corresponding clothes taking completion time when clothes are queued corresponding to the ith initial queuing information; often, the clothes of the kth target user can be cleaned on time when the clothes are queued corresponding to the ith initial queuing information. Thus->When the clothes are larger, the clothes taking time reserved by each target user is possibly later than the corresponding clothes washing completion time when clothes are queued corresponding to the ith initial queuing information; often, the more likely it is to finish washing clothes of each target user in advance when the washing queue corresponding to the ith initial queuing information is described, and the higher the washing completion time rate of the washing queue corresponding to the ith initial queuing information is often described.

And step four, determining the washing time rate corresponding to the initial queuing information according to the first time rate and the second time rate corresponding to the initial queuing information.

Wherein, the first time rate and the second time rate can be positively correlated with the laundry time rate.

For example, the formula for determining the laundry time rate corresponding to the initial queuing information may be:

；

wherein,,is the washing time rate corresponding to the ith initial queuing information in the initial queuing information set. i is the sequence number of the initial queuing information in the initial queuing information set. />Is the first time rate corresponding to the ith initial queuing information in the initial queuing information set. />Is the second time rate corresponding to the ith initial queuing information in the initial queuing information set.

When the following is performedWhen the clothes are larger, the clothes are scheduled to be taken by each target user and the clothes are finished in a sequence similar to the clothes are scheduled to be taken by each target user when the clothes are queued corresponding to the ith initial queuing information, and the clothes are queued corresponding to the ith initial queuing information relatively fairly and reasonably. When->The larger the laundry queue corresponding to the ith initial queuing information, the more likely the laundry of each target user is finished in advance, and the higher the laundry completion time rate of the laundry queue corresponding to the ith initial queuing information. Thus, when- >The larger the tends to explain the firstThe washing queue corresponding to the i initial queuing information is relatively fair and reasonable, and the washing completion time rate is higher.

And S5, determining target washing efficiency corresponding to the initial queuing information according to the washing operation efficiency and the washing time rate corresponding to each initial queuing information.

In some embodiments, the target washing efficiency corresponding to the initial queuing information may be determined according to the washing operation efficiency and the washing time rate corresponding to each initial queuing information.

Wherein, the washing operation efficiency and the washing time rate can be positively correlated with the target washing efficiency.

It should be noted that, by comprehensively considering the washing operation efficiency and the washing time rate corresponding to the initial queuing information, the accuracy of determining the target washing efficiency corresponding to the initial queuing information can be improved.

As an example, the formula for determining the target laundry efficiency corresponding to the initial queuing information may be:

；

wherein,,is the target washing efficiency corresponding to the ith initial queuing information in the initial queuing information set. />Is the washing operation efficiency corresponding to the ith initial queuing information in the initial queuing information set. />Is the washing time rate corresponding to the ith initial queuing information in the initial queuing information set. / >Is a normalization function.

It should be noted that the number of the substrates,can be an objective function for judging the rationality of the washing queue, and the higher the function value is, the higher the rationality of the washing queue is represented. When->The larger the laundry queue corresponding to the ith initial queuing information, the higher the laundry operation efficiency is. When->When the washing queue is bigger, the washing queue corresponding to the ith initial queuing information is relatively fair and reasonable, and the washing completion time rate is higher. Thus->When the washing queue is bigger, the washing operation efficiency is higher, the washing queue is relatively fair and reasonable, and the washing completion time rate is higher when the washing queue corresponding to the ith initial queuing information is usually described; the more reasonable the laundry queue corresponding to the ith initial queuing information is often explained.

And S6, screening out initial queuing information with the maximum target washing efficiency from the initial queuing information set, and taking the initial queuing information as target queuing information.

In some embodiments, the initial queuing information with the greatest target washing efficiency may be selected from the initial queuing information set as the target queuing information.

The initial queuing information with the maximum target washing efficiency is selected from the initial queuing information set, namely the optimal initial queuing information.

As an example, initial queuing information having the greatest target laundry efficiency among the initial queuing information set may be used as target queuing information.

And S7, according to the target queuing information, washing and queuing the target users under the target shared washing machines.

In some embodiments, laundry queuing may be performed for each target user under each target shared laundry machine according to the target queuing information.

According to the target queuing information, the target users are subjected to washing queuing under each target shared washing machine, so that the washing queuing of a plurality of users under a plurality of shared washing machines can be realized.

As an example, the target user sequence corresponding to each target shared washing machine included in the target queuing information may be determined as a final laundry queuing.

In summary, compared with the clothes queuing which is performed by considering only the sequencing of the reserved time, the clothes queuing method disclosed by the invention comprehensively considers the clothes reservation information set and the washing machine specification information set, and quantifies a plurality of indexes such as clothes washing operation efficiency, clothes washing time rate, target clothes washing efficiency and the like corresponding to the initial queuing information, thereby improving the rationality of clothes queuing for a plurality of target users under the condition of sharing the washing machine by a plurality of targets.

The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention and are intended to be included within the scope of the invention.

Claims (10)

1. The clothes washing service providing method of the shared washing machine based on the Internet of things is characterized by comprising the following steps of:

the method comprises the steps of obtaining washing reservation information corresponding to each target user and washing machine specification information corresponding to each target shared washing machine, and obtaining a washing reservation information set and a washing machine specification information set;

generating an initial queuing information set based on the washing reservation information set and the washing machine specification information set;

determining the washing operation efficiency corresponding to the initial queuing information according to the reference laundry amount included in the specification information of the washing machine corresponding to each target shared washing machine, the target user sequence corresponding to each target shared washing machine included in each initial queuing information, and the laundry amount of each target shared washing machine included in the initial queuing information when each operation is performed;

Determining the washing time rate corresponding to the initial queuing information according to the reserved clothes taking time and reserved clothes taking sequence number which are included in the washing reserved information corresponding to each target user and the washing completion sequence number and washing completion time which are included in each initial queuing information and correspond to each target user;

determining target washing efficiency corresponding to the initial queuing information according to washing operation efficiency and washing time rate corresponding to each initial queuing information;

screening initial queuing information with the maximum target washing efficiency from the initial queuing information set to serve as target queuing information;

and according to the target queuing information, washing and queuing the target users under the target sharing washing machines.

2. The method for providing clothes washing service of a shared washing machine based on the internet of things according to claim 1, wherein the determining the washing operation efficiency corresponding to the initial queuing information according to the reference clothes amount included in the specification information of the washing machine corresponding to each target shared washing machine, the target user sequence corresponding to each target shared washing machine included in each initial queuing information, and the clothes amount of each target shared washing machine included in the initial queuing information during each operation comprises:

Determining the accumulated sum of the estimated completion time lengths corresponding to all target users in a target user sequence corresponding to each target shared washing machine included in the initial queuing information as the overall estimated time length of the target shared washing machine under the initial queuing information;

determining an average value of the clothes amount of each target shared washing machine in each running process, which is included in the initial queuing information, as an average clothes amount of the target shared washing machine under the initial queuing information;

and determining the washing operation efficiency corresponding to the initial queuing information according to the reference clothes amount included in the washing machine specification information corresponding to each target shared washing machine, the overall expected duration of each target shared washing machine under the initial queuing information and the average clothes amount.

3. The method for providing clothes washing service of a shared washing machine based on the internet of things according to claim 2, wherein the determining the washing operation efficiency corresponding to the initial queuing information according to the reference clothes amount included in the specification information of the washing machine corresponding to each target shared washing machine, the overall expected duration of each target shared washing machine under the initial queuing information, and the average clothes amount includes:

Determining the average clothes amount of each target shared washing machine under the initial queuing information, and determining the duty ratio of the target shared washing machine in the reference clothes amount included in the corresponding washing machine specification information of the target shared washing machine as the target full load rate of the target shared washing machine under the initial queuing information;

determining a first operation index and a representative operation index of each target shared washing machine under the initial queuing information according to the target full load rate and the overall predicted duration of each target shared washing machine under the initial queuing information;

determining the overall stability degree corresponding to the initial queuing information according to a first operation index and a representative operation index of each target shared washing machine under the initial queuing information;

determining the overall full load rate corresponding to the initial queuing information according to the target full load rate of each target shared washing machine under the initial queuing information, wherein the target full load rate and the overall full load rate are positively correlated;

and determining the washing operation efficiency corresponding to the initial queuing information according to the integral full load rate and the integral stability corresponding to the initial queuing information, wherein the integral full load rate and the integral stability are positively correlated with the washing operation efficiency.

4. The method for providing clothes washing service of a shared washing machine based on the internet of things according to claim 3, wherein the determining the overall stability degree corresponding to the initial queuing information according to the first operation index and the representative operation index of each target shared washing machine under the initial queuing information comprises:

determining the square of the difference between the first operation index and the representative operation index of each target shared washing machine under the initial queuing information as the first difference of the target shared washing machines under the initial queuing information;

and determining the overall stability degree corresponding to the initial queuing information according to the first difference of each target sharing washing machine under the initial queuing information, wherein the first difference is inversely related to the overall stability degree.

5. The method for providing clothes washing service of the sharing washing machine based on the internet of things according to claim 3, wherein the determining the first operation index and the representative operation index of each target sharing washing machine under the initial queuing information according to the target full load rate and the overall predicted duration of each target sharing washing machine under the initial queuing information comprises:

Determining a first operation index of the target shared washing machine under the initial queuing information according to the target full load rate and the overall estimated time length of the target shared washing machine under the initial queuing information, wherein the target full load rate and the overall estimated time length are positively correlated with the first operation index;

screening out similar washing machine sets corresponding to each target sharing washing machine from the target sharing washing machines;

and determining the average value of the first operation indexes of all the similar washing machines in the similar washing machine set corresponding to the target shared washing machine under the initial queuing information as the representative operation index of the target shared washing machine under the initial queuing information.

6. The method for providing clothes washing service of a shared washing machine based on the internet of things according to claim 1, wherein the determining the washing time rate corresponding to the initial queuing information according to the reserved clothes taking time and reserved clothes taking sequence number included in the washing reserved information corresponding to each target user, and the washing completion sequence number and the washing completion time corresponding to each target user included in each initial queuing information includes:

determining a first time rate corresponding to the initial queuing information according to the reserved clothes taking sequence number included in the clothes washing reserved information corresponding to each target user and the clothes washing completion sequence number corresponding to each target user included in the initial queuing information;

Determining a second time rate corresponding to the initial queuing information according to the reserved clothes taking time included by the clothes washing reserved information corresponding to each target user and the clothes washing completion time corresponding to each target user included by the initial queuing information;

and determining the washing time rate corresponding to the initial queuing information according to the first time rate and the second time rate corresponding to the initial queuing information, wherein the first time rate and the second time rate are positively related to the washing time rate.

7. The method for providing clothes washing service of a shared washing machine based on the internet of things according to claim 6, wherein the determining the first time rate corresponding to the initial queuing information according to the reserved clothes taking sequence number included in the clothes washing reserved information corresponding to each target user and the clothes washing completion sequence number corresponding to each target user included in the initial queuing information includes:

determining a washing completion sequence number corresponding to each target user included in the initial queuing information as the washing completion sequence number of the target user under the initial queuing information;

determining the absolute value of the difference value between the reserved clothes taking sequence number included in the clothes washing reserved information corresponding to each target user and the clothes washing completion sequence number of the target user under the initial queuing information as the sequence number difference of the target user under the initial queuing information;

And determining a first time rate corresponding to the initial queuing information according to the sequence number difference of each target user under the initial queuing information, wherein the sequence number difference is inversely related to the first time rate.

8. The method for providing clothes washing service of a shared washing machine based on the internet of things according to claim 6, wherein determining the second time rate corresponding to the initial queuing information according to the reserved clothes taking time included in the clothes washing reserved information corresponding to each target user and the clothes washing completion time corresponding to each target user included in the initial queuing information includes:

determining the reserved clothes taking time included in the clothes washing reserved information corresponding to each target user as the reserved clothes taking time corresponding to the target user;

determining the laundry completion time corresponding to each target user included in the initial queuing information as the laundry completion time of the target user under the initial queuing information;

determining a difference value between the reserved clothes taking time corresponding to the target user and the clothes washing completion time of the target user under the initial queuing information as a time difference of the target user under the initial queuing information;

And determining a second time rate corresponding to the initial queuing information according to the time difference of each target user under the initial queuing information, wherein the time difference is positively correlated with the second time rate.

9. The clothes washing service providing method of the sharing washing machine based on the internet of things according to claim 1, wherein the washing operation efficiency and the washing time rate are positively correlated with the target washing efficiency.

10. The method for providing clothes washing service of the sharing washing machine based on the internet of things according to claim 1, wherein the step of queuing clothes washing for each target user under each target sharing washing machine according to the target queuing information comprises the following steps:

and determining a target user sequence corresponding to each target shared washing machine included in the target queuing information as a final washing queuing.