CN116739869A

CN116739869A - Bathroom wisdom management system

Info

Publication number: CN116739869A
Application number: CN202310836784.0A
Authority: CN
Inventors: 陈海江; 金招钞
Original assignee: Zhejiang Lishi Technology Co Ltd
Current assignee: Zhejiang Lishi Technology Co Ltd
Priority date: 2023-07-10
Filing date: 2023-07-10
Publication date: 2023-09-12

Abstract

The invention relates to the technical field of information management, and discloses a bathroom intelligent management system, which comprises the following components: the system comprises a data acquisition module, a device management module, an acquisition management module, a data real-time display module, a data management module and an intelligent assistant module which are connected through a network, wherein the data acquisition module is used for acquiring sanitary condition data of a bathroom, the device management module is used for carrying out device management on a plurality of bathrooms, the acquisition management module is used for setting acquisition rules and data output formats, the data real-time display module is used for timely displaying sanitary conditions of the plurality of bathrooms, the data management module is used for managing the sanitary condition data of the bathroom, and the intelligent assistant module is used for analyzing and processing the sanitary condition data acquired by the data acquisition module, evaluating problems existing in the bathroom and giving out optimization measures. And generating a required report for viewing according to the data acquired in the earlier stage of the system, and giving subsequent use condition prediction and perfecting suggestions by an intelligent assistant.

Description

Bathroom wisdom management system

Technical Field

The invention relates to the technical field of information management, in particular to an intelligent management system for a bathroom.

Background

With the development of the times, business communication, cultural communication and the like are gradually frequent, and people travel gradually more. The requirement for a toilet is very high when people go out, and the toilet is a very important facility. Along with the construction of railway stations, parks and the like, the development of scenic spots and the like, the number of toilets is increased, the management difficulty of the toilets is gradually increased, and the problems are gradually raised. If a toilet is not effectively managed, mess occurs, and the use rate is reduced; thus, the dimension data of the use condition of the bathroom reflects the condition of one bathroom, for example, if the use condition of the bathroom is higher, the cleaning times should be increased, and a pit is not used all the time, which may be the scene that the facility is out of order and needs to be overhauled, etc.

However, the traditional data acquisition mode is difficult to use in the scene because the bathroom is a place with high privacy. Thus data acquisition for use cases; it is difficult to collect this portion of information efficiently or there is no good platform for data collection to manage and utilize.

Disclosure of Invention

The invention aims to solve the technical problems that due to the special property of a bathroom, the traditional information acquisition mode is difficult to effectively acquire the required accurate data, and the bathroom is effectively managed and utilized, and aiming at the defects in the prior art, the invention provides a bathroom intelligent management system, which comprises:

the intelligent data acquisition system comprises a data acquisition module, an equipment management module, an acquisition management module, a data real-time display module, a data management module and an intelligent assistant module which are connected through a network, wherein the data acquisition module is used for acquiring sanitary condition data of a bathroom, the equipment management module is used for carrying out equipment management on a plurality of bathrooms, the acquisition management module is used for setting acquisition rules and data output formats, the data real-time display module is used for timely displaying sanitary conditions of the plurality of bathrooms, the data management module is used for managing the sanitary condition data, and the intelligent assistant module is used for analyzing and processing the sanitary condition data acquired by the data acquisition module, evaluating problems existing in the bathrooms and giving out optimization measures.

Preferably, the data acquisition module comprises a plurality of sensors connected through a network, and the plurality of sensors acquire sanitary condition data of the toilet.

Preferably, the device management module performs name classification, type classification, device maintenance status classification and device maintenance process follow-up on the plurality of connected toilets.

Preferably, the collection management module comprises a collection rule setting module, and guides the data collection module to collect sanitary condition data of the toilet according to the collection rule set by the collection rule setting module.

Preferably, the data real-time display module comprises an equipment map module, and the equipment map module displays a plurality of toilets in real time according to the geographic positions, the sanitary states and the maintenance states.

Preferably, the data management module comprises a storage module and a chart module which are connected through a network, wherein the storage module is used for storing the sanitary condition data of the toilet, and the chart module is used for displaying the sanitary condition data.

Preferably, the intelligent assistant module comprises an evaluation module and an optimization module, wherein the evaluation module is used for performing evaluation according to the sanitary condition data analysis and processing acquired by the data acquisition module, and the optimization module is used for giving out optimization measures to the sanitary condition data evaluation result of the toilet.

Preferably, the system further comprises a questionnaire module for collecting usage data of the toilet by means of questionnaire.

Preferably, the intelligent assistant module further comprises a pushing module, configured to push the optimizing measures to the device management module through a network according to the given optimizing measures of the optimizing module.

Preferably, the evaluation module comprises a deep learning module, wherein the deep learning module is used for taking the sanitary condition data acquired by the data acquisition module as input, creating a sanitary condition model and performing prediction evaluation on the sanitary condition.

The intelligent management system for the bathroom has the following beneficial effects: information is input through acquisition means such as an inductor, a questionnaire and the like; the requirements of inputting, managing and outputting the bathroom conditions are perfected; and generating a required report for viewing according to the data acquired in the earlier stage of the system, and giving subsequent use condition prediction and perfecting suggestions by an intelligent assistant.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to the structures shown in these drawings without inventive effort for a person skilled in the art.

The invention will be further described with reference to the accompanying drawings and examples, in which:

FIG. 1 is a schematic diagram of a bathroom intelligent management system according to the present invention;

FIG. 2 is a block diagram of a bathroom intelligent management system according to the present invention.

Description of the embodiments

The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

It should be noted that, if directional indications (such as up, down, left, right, front, and rear … …) are included in the embodiments of the present invention, the directional indications are merely used to explain the relative positional relationship, movement conditions, etc. between the components in a specific posture (as shown in the drawings), and if the specific posture is changed, the directional indications are correspondingly changed.

In addition, if there is a description of "first", "second", etc. in the embodiments of the present invention, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In addition, the technical solutions of the embodiments may be combined with each other, but it is necessary to base that the technical solutions can be realized by those skilled in the art, and when the technical solutions are contradictory or cannot be realized, the combination of the technical solutions should be considered to be absent and not within the scope of protection claimed in the present invention.

Please refer to fig. 1, which is a schematic diagram of a bathroom intelligent management system according to the present invention. As shown in fig. 1, in the toilet intelligent management system provided in the first embodiment of the present invention, at least includes a data acquisition module, an equipment management module, an acquisition management module, a data real-time display module, a data management module and an intelligent assistant module, which are connected through a network, where the data acquisition module is used to acquire toilet condition data of a toilet, the equipment management module is used to perform equipment management on multiple toilets, the acquisition management module is used to set an acquisition rule and a data output format, the data real-time display module is used to timely display toilet conditions of multiple toilets, the data management module is used to manage the toilet data, and the intelligent assistant module is used to evaluate problems existing in the toilet and provide optimization measures according to analysis and processing of the toilet condition data acquired by the data acquisition module.

FIG. 2 is a block diagram of a bathroom intelligent management system according to the present invention. As shown in fig. 2, the architecture of the bathroom intelligent management system comprises a front-end code, a back-end interface service and a database service. The front-end code uses javascript as the development language. And realizing interaction operation with a user. Through user input, when submitting information, the interface service of the back end is requested. The back-end interface receives the information submitted by the user and stores the information in a database according to a certain data structure. This is a functionally unified data flow of new, edit, delete. The back-end service docking intelligent acquisition platform collects acquisition end data and stores and provides viewing and using of partial latitude data of complaints; the intelligent acquisition platform can filter and remove partial abnormal data from the data acquired by the sensor. When the data are provided for the front-end display, the data latitude required by the specific service is obtained through calculation processing and is provided for the front-end, and the front-end performs visual data display by further optimizing according to the specific service scene and the data latitude type.

The data acquisition module comprises a plurality of sensors connected through a network, and the plurality of sensors acquire sanitary condition data of the toilet.

For example, a plurality of sensors connected via a network are installed in areas such as a train station, a park, and a scenic spot. The sensors collect the sanitary condition data of the washroom collected by the sensors, and the sanitary condition data are transmitted to the data real-time display module.

The equipment management module classifies names, types, equipment maintenance states and equipment maintenance processes of the plurality of connected toilets.

In the specific implementation, the device management module can be used for managing the toilet device, so that the functions of adding, editing and deleting the device are provided. The list shows the existing devices and the toilets where the operating conditions of the devices are located, and the existing devices can be searched according to names, device types and toilets. The clicking details can be used for checking specific equipment information, including types, names, toilets, running states and other specifications.

The equipment management module can be used for access management of the information acquisition equipment, and can check the permission state of the equipment to maintain normal operation of the equipment.

It should be noted that, the intelligent acquisition platform and the equipment can be connected through the back-end service to ensure that the equipment data can be normally acquired through normal communication with the equipment.

The acquisition management module comprises an acquisition rule setting module, and guides the data acquisition module to acquire sanitary condition data of the toilet according to the acquisition rule set by the acquisition rule setting module. And the acquisition management module is used for managing an acquisition strategy according to the bound equipment and can set functions of adding, editing, deleting equipment and the like. The list shows all data collection rules.

Configuring a proper acquisition strategy according to the special effect and the use scene of the equipment; timing acquisition mode, condition triggering, timing condition pushing, etc.

The acquisition management module can be used for carrying out acquisition rule configuration on the accessed equipment, setting the acquisition rule and the format dimension of the output data, and providing better service for subsequent business.

The data real-time display module comprises an equipment map module, and a plurality of toilets are displayed in real time on the equipment map module according to the geographic positions, the sanitary states and the maintenance states.

In the implementation, the toilet position acquired according to gis data is marked on a map, and the data acquired by the corresponding toilet is requested to be acquired through an interface. The front end displays the real-time number of people according to the acquired data, the utilization rate of various types of the current washroom, the washroom list of the washroom list display access platform supports searching of name areas, the washroom map is clicked to automatically locate the position corresponding to the washroom and display the real-time data, and the user can perform the following specific operations through visualization:

filtering and displaying the points on the map according to the selection of the left type label (according to the division of places, stations, parks, scenic spots and the like);

clicking marks show details such as bathroom type conditions (such as a male bathroom, a female bathroom and a third bathroom), equipment distribution conditions of various types (such as a urinal, a toilet table and the like) and corresponding running states, recent use rate, average duration crowding degree and the like;

the color of the current state point position of the toilet is different, and abnormal conditions such as crowding or equipment failure are marked by early warning colors; and can be counted on the left side;

and carrying out thermal display on a map according to the toilet use condition data to reflect the real-time thermal condition of the day or history of the reaction.

And the data real-time display module is used for marking the toilet under management by combining with the map, so that a manager can monitor the toilet more clearly and intuitively, and the data is displayed on the map by using front-end interaction means such as a bullet frame, a data identification chart and the like according to the operation of the manager. The data acquired by configuration of the acquisition management module is subjected to multi-dimensional display through partial algorithm processing, so that the data is enriched, the interaction experience is improved, and the understanding of the data is further improved.

The data management module comprises a storage module and a chart module which are connected through a network, wherein the storage module is used for storing sanitary condition data of a toilet, and the chart module is used for displaying the sanitary condition data.

The data management module is in charge of storing and managing all collected data and providing a data screening function according to conditions such as a bathroom, a type of bathroom type equipment and the like; the self-defined chart generation function is provided, the corresponding chart can be generated according to specific business requirements, so that data can be more intuitively expressed, the report generation function is provided, and a series of charts can be spliced on a page to generate an accessible online for later quick viewing.

The data management module is used for storing the acquired data, providing a multi-dimensional search display chart according to the date, the toilet, the type of the toilet and the like, and supporting the visualized data chart to generate and display.

The intelligent assistant module comprises an evaluation module and an optimization module, wherein the evaluation module is used for analyzing and processing the sanitary condition data acquired by the data acquisition module to evaluate, and the optimization module is used for giving out optimization measures to the result of sanitary condition data evaluation of the toilet.

The evaluation module comprises a deep learning module, wherein the deep learning module is used for taking the sanitary condition data acquired by the data acquisition module as input, creating a sanitary condition model and carrying out prediction evaluation on the sanitary condition.

For the deep learning model, data input is of great importance, and toilet health condition data acquired by the data acquisition module can be used as data input. And (5) establishing a model framework and defining parameters. And training a model. Training the received data and the corresponding conditions of the toilet (running state of equipment, daily bearing capacity, current state of the toilet, etc.). And inputting the acquired data sheet, and checking the acquired corresponding state data. And updating the error result, and re-performing model training to enable the subsequent evaluation result of the sanitary condition of the toilet to be more accurate.

Deep learning is an implementation of an artificial neural network algorithm, and is mainly used for processing large-scale complex data sets, such as data of images, voice, text and the like. Deep learning models such as convolutional neural networks, recurrent neural networks, long and short term memory networks, generation countermeasure networks, self-encoders, residual error networks, attention mechanisms, etc., which are common in the prior art, may be employed. The convolutional neural network (Convolutional Neural Networks, CNN) is mainly used for image and video processing tasks, and can extract local characteristics and spatial relations of images and videos. The cyclic neural network (Recurrent Neural Networks, RNN) is mainly used for processing sequence data, such as text, voice and the like. It can learn context information in the sequence, and can automatically capture long-term dependencies in the input data. Long Short-Term Memory (LSTM) is a special RNN that can better handle Long-Term dependencies. The generating countermeasure network (Generative Adversarial Networks, GAN) consists of a generator and a discriminator, and is used for generating false samples capable of spoofing the discriminator, and is mainly applied to generating tasks such as images, videos, audios and the like. An Automatic Encoder (AE) is an unsupervised learning model used for data compression, denoising, feature extraction and other tasks and capable of learning a low-dimensional representation of input data. Residual network (Residual Neural Networks, resNet) for solving the problem of gradient extinction in deep neural networks, enabling training of deeper neural networks. The attention mechanism (Altention Mechanism) can automatically learn importance weights in an input sequence for tasks such as sequence generation, machine translation, image description and the like.

The deep learning model is adopted, so that the obtained result can be used as a schedule of a follow-up maintenance plan to be supported; predicting the arrival of people flow in peak periods such as holidays, inputting the predicted people flow to obtain service condition data such as the utilization rate, daily bearing capacity and crowdedness of corresponding toilets, and judging whether queuing and the like can occur or not so as to enable corresponding administrators to arrange and split in advance; and data of the information such as configuration arrangement and the like of the toilet are combined, and some improvement suggestions and the like are given compared with similar toilet data.

Through the intelligent assistant module, the built service condition calculation model can be trained and verified according to the data collected by historical detection and is continuously improved, so that the future data and conditions can be predicted according to the collected data, and the future data and conditions can be gradually more accurate.

In some optional implementations of this embodiment, the intelligent assistant module further includes a pushing module configured to push, according to the given optimization measure of the optimization module, the optimization measure to the device management module through the network.

In some optional implementations of this embodiment, the system may further include a questionnaire module for collecting usage data of the toilet by way of a questionnaire. The questionnaire access two-dimensional code of the questionnaire access portal in the bathroom is marked to guide a user to scan the code to fill in the questionnaire, more visual data of the use condition are obtained, the system filters the collected data and inputs the dimension of the use condition management system for perfecting data acquisition.

Questionnaires can be used for collecting toilet use conditions and user use opinions through an online questionnaire system. Statistics and presentation of toilet usage, including:

statistics of the use condition, such as recording the use duration and the use evaluation rate through a door lock sensor of a toilet compartment, equipment on a flushing switch and the like, and a hand sink sensor collects the use frequency and the use duration. And detecting whether queuing conditions, queuing time and other information occur or not through a special sensor in the bathroom.

The data presentation, through the information that has been gathered, we can know the frequency of use of pit position, use duration etc. the service behavior of wash platform, the evaluation rate that the bathroom appears queuing, the proportion of use in men and women's lavatory, whether the third bathroom uses the evaluation rate by illegal occupation etc..

Through the design of the embodiment, the invention has the beneficial effects that: information is input through acquisition means such as an inductor, a questionnaire and the like; the requirements of inputting, managing and outputting the bathroom conditions are perfected; and generating a required report for viewing according to the data acquired in the earlier stage of the system, and giving subsequent use condition prediction and perfecting suggestions by an intelligent assistant.

While the invention has been described with reference to certain embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the scope of the invention. In addition, many modifications may be made to adapt a particular situation to the teachings of the invention without departing from its scope. Therefore, it is intended that the invention not be limited to the particular embodiment disclosed, but that the invention will include all embodiments falling within the scope of the appended claims.

Claims

1. An intelligent toilet management system, comprising: the intelligent data acquisition system comprises a data acquisition module, an equipment management module, an acquisition management module, a data real-time display module, a data management module and an intelligent assistant module which are connected through a network, wherein the data acquisition module is used for acquiring sanitary condition data of a bathroom, the equipment management module is used for carrying out equipment management on a plurality of bathrooms, the acquisition management module is used for setting acquisition rules and data output formats, the data real-time display module is used for timely displaying sanitary conditions of the plurality of bathrooms, the data management module is used for managing the sanitary condition data, and the intelligent assistant module is used for analyzing and processing the sanitary condition data acquired by the data acquisition module, evaluating problems existing in the bathrooms and giving out optimization measures.

2. The intelligent toilet management system of claim 1, wherein the data collection module comprises a plurality of sensors connected via a network, the plurality of sensors collecting toilet health data.

3. The intelligent toilet system according to claim 1, wherein the equipment management module performs name classification, type classification, equipment maintenance status classification, and equipment maintenance process follow-up for the plurality of toilets that are accessed.

4. The intelligent toilet management system of claim 1, wherein the collection management module comprises a collection rule setting module that directs the data collection module to collect toilet health data according to the collection rule set by the collection rule setting module.

5. The intelligent toilet management system of claim 1, wherein the data real-time display module comprises a device map module, and the plurality of toilets are displayed in real time on the device map module according to the geographic location, the sanitary state and the maintenance state.

6. The intelligent toilet management system of claim 1, wherein the data management module comprises a storage module and a chart module connected through a network, the storage module is used for storing toilet sanitary condition data, and the chart module is used for displaying the sanitary condition data.

7. The intelligent toilet management system according to claim 1, wherein the intelligent assistant module comprises an evaluation module and an optimization module, the evaluation module is used for performing evaluation according to the analysis and processing of the toilet condition data collected by the data collection module, and the optimization module is used for giving optimization measures to the result of the toilet condition data evaluation.

8. The intelligent toilet management system of claim 1, further comprising a questionnaire module for collecting toilet usage data by way of a questionnaire.

9. The bathroom intelligent management system of claim 7, wherein the intelligent helper module further comprises a pushing module for pushing the optimization measures to the device management module over a network according to the given optimization measures of the optimization module.

10. The intelligent toilet management system of claim 7, wherein the assessment module comprises a deep learning module for creating a toilet usage model for predictive assessment of toilet usage using the toilet condition data collected by the data collection module as input.