Intelligent tourism management system for scenic spot based on Internet of Things technology

Abstract

The invention, which relates to the tourism management field, discloses a scenic spot intelligent tourism management system based on the Internet of Things technology, comprising an application terminal module, a scenic spot cloud terminal module, a personnel allocation module, a data processing module and an intelligent garbage can containing a sensor group. Garbage filling degree data and smell concentration data in a garbage can are collected through a sensor set, a garbage filling degree threshold value and a smell concentration threshold value for garbage treatment are set in a data processing module, and a garbage treatment alarm is triggered when the corresponding data reach the threshold values. According to the invention, garbage filling amount detection and odor detection are carried out on the garbage cans in the scenic area, the garbage disposal frequency of each garbage can can be continuously monitored and collected, and the distribution of the garbage cans in the scenic area is adjusted according to the garbage disposal frequency of each garbage can; the frequency of triggering the garbage treatment alarm by each intelligent garbage can is ensured to be in a balanced range, and scenic spot resources are utilized to the maximum extent.

Description

Technical Field

[0001] The present invention relates to the field of tourism management, and in particular to an intelligent tourism management system for scenic spots based on Internet of Things technology. Background Art

[0002] With the rapid development of the modern economy, people's living standards are gradually improving. People pay more and more attention to the quality of life and enjoying life, and tourism has become a new trend for people to enjoy life. In recent years, the tourism industry has been booming. Scenic spots are mainly used to meet the tourism needs of tourists such as visiting, leisure and vacation, and fitness. A clean and tidy scenic spot environment is a necessary prerequisite for making tourists feel physically and mentally happy. To keep the scenic spot environment clean, it not only requires the unilateral efforts of the scenic spot, but also the active cooperation of tourists; However, currently in existing scenic spots, it is often found that the garbage in the trash cans cannot be processed in time, resulting in overflow of garbage and unpleasant odors, which will have a great impact on the tourists' playing experience. Moreover, the layout of trash cans in such scenic spots is determined when the scenic spot is established, and it is not reasonably arranged according to the actual playing experience of tourists, resulting in unbalanced usage of trash cans in different areas during subsequent use, and it is difficult to maintain a good environment in the scenic spot. Summary of the Invention

[0003] The purpose of the present invention is to provide an intelligent tourism management system for scenic spots based on Internet of Things technology to solve the problems raised in the above background art.

[0004] To achieve the above purpose, the present invention provides the following technical solution: An intelligent tourism management system for scenic spots based on Internet of Things technology, including an application end module, a scenic spot cloud module, a personnel allocation module, a data processing module, and intelligent trash cans distributed in the scenic spot and containing a sensor group; The intelligent trash can uses the sensor group to collect the garbage filling degree data and odor concentration data in the trash can and uploads them to the data processing module for processing in real time. A garbage filling degree threshold and an odor concentration threshold for garbage processing are set in the data processing module, and when the corresponding data reaches the threshold, a garbage processing alarm is triggered; The scenic spot cloud module receives the garbage processing alarm to locate the position of the corresponding intelligent trash can, and at the same time scans the positions of the nearest up to three cleaning personnel nearby and marks them as the to-be-cleaned personnel. Each cleaning personnel is equipped with the application end module. The scenic spot cloud module compares the idle degrees of the to-be-cleaned personnel, selects the to-be-cleaned personnel with the highest idle degree, and locates the corresponding position to plan a cleaning route between the position of the to-be-cleaned personnel and the intelligent trash can that triggers the garbage processing alarm. The cleaning route is sent to the application end module of the corresponding to-be-cleaned personnel through the personnel allocation module, and the to-be-cleaned personnel processes the garbage in the trash can according to the cleaning route.

[0005] Preferably, the data processing module processes the collected garbage filling degree data and odor concentration data, including building a corresponding database for each intelligent trash can to record and monitor the garbage filling degree and odor concentration data in the trash can in real time, and arranging all the intelligent trash cans from high to low according to the garbage filling degree and odor concentration in the trash can.

[0006] Preferably, the data processing module also includes recording the number of times each intelligent trash can triggers a garbage treatment alarm, statistically calculating the total number of times each intelligent trash can triggers a garbage treatment alarm and the total number of tourists entering the scenic area per day, and establishing a data relationship between the total number of times each intelligent trash can triggers a garbage treatment alarm and the total number of tourists.

[0007] Preferably, analyze the data relationship of each intelligent trash can, and regularly adjust the distribution positions of the intelligent trash cans in the scenic area to ensure that the number of times each intelligent trash can triggers a garbage treatment alarm is within a balanced range.

[0008] Preferably, the scenic area cloud module compares the idle degree of the to-be-cleaned personnel, specifically including collecting the numbers of the intelligent trash cans around each to-be-cleaned personnel, retrieving the corresponding garbage filling degree data and odor concentration data according to the numbers, screening out the intelligent trash can label corresponding to the item of data closest to the threshold in the garbage filling degree data and odor concentration data and assigning it to the to-be-cleaned personnel, and at the same time marking the data closest to the threshold. The idle degree of each to-be-cleaned personnel is opposite to the size of the data marking the closest to the threshold. The closer the data is to the threshold, the smaller the idle degree of the to-be-cleaned personnel.

[0009] Preferably, the planning of the cleaning route includes preferentially selecting the route with the shortest distance between the to-be-cleaned personnel and the intelligent trash can that triggers a garbage treatment alarm, and at the same time retrieving the crowd flow monitoring data of the scenic area to avoid congested areas and generate the corresponding cleaning route.

[0010] Preferably, the priority of the garbage treatment alarm triggered by the odor concentration data reaching the threshold is greater than that triggered by the garbage filling degree data.

[0011] Preferably, a red warning light is set on the intelligent trash can, which lights up when a garbage treatment alarm is triggered to warn tourists not to throw garbage temporarily.

[0012] Preferably, the garbage filling degree threshold and odor concentration threshold for garbage treatment set in the intelligent trash cans in the area with the largest tourist flow in the scenic area are 15% - 20% lower than those of the intelligent trash cans in normal areas.

[0013] In summary, the beneficial effects of the present invention are: The present invention detects the garbage filling amount and odor of trash cans in the scenic area. When the garbage filling amount or the odor in the trash can reaches the threshold, an alarm for garbage disposal is triggered to deploy nearby cleaning staff for timely handling, maintaining the scenic area environment in a timely manner. At the same time, it can continuously monitor and collect the number of times of garbage disposal for each trash can, adjust the distribution of trash cans in the scenic area according to the number of times of garbage disposal for each trash can, compare the changes in the number of triggered alarms before and after the adjustment, and the feedback from tourists, continuously optimize the adjustment strategy to ensure that the trash can layout is more reasonable, improve the overall environmental quality and service level, ensure that the number of times each intelligent trash can triggers the garbage disposal alarm is within a balanced range, and maximize the utilization of scenic area resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions in the embodiments of the invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0015] Figure 1 It is a schematic diagram of the overall process framework structure of an intelligent tourism management system for scenic areas based on Internet of Things technology according to the present invention; Figure 2 It is a schematic diagram of the distribution of intelligent trash cans and cleaning staff in an intelligent tourism management system for scenic areas based on Internet of Things technology according to the present invention; Figure 3 It is a data table diagram of intelligent trash cans near cleaning staff in an intelligent tourism management system for scenic areas based on Internet of Things technology according to the present invention; Figure 4 It is a schematic diagram of the database of intelligent trash cans in an intelligent tourism management system for scenic areas based on Internet of Things technology according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0016] Now, the present invention will be further described in detail with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention. These drawings are all simplified schematic diagrams, only illustrating the basic structure of the present invention in a schematic manner, and therefore only showing the components related to the present invention.

[0017] For the convenience of understanding the present invention, the present invention will be described more comprehensively below with reference to the relevant drawings. Several embodiments of the present invention are given in the drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, these embodiments are provided to make the disclosure of the present invention more thorough and comprehensive.

[0018] All features disclosed in this specification, or all steps in the disclosed methods or processes, except for mutually exclusive features and / or steps, can be combined in any way.

[0019] Any feature disclosed in this specification (including any additional claims, abstract, and drawings), unless specifically stated, can be replaced by other equivalent or similar-purpose alternative features. That is, unless specifically stated, each feature is only an example of a series of equivalent or similar features.

[0020] In the present invention, unless otherwise clearly specified and defined, terms such as "installed", "connected", "linked", "fixed", etc. should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or integrated; it can be a mechanical connection, a direct connection, or an indirect connection through an intermediate medium. It can be the communication inside at least two elements or the interaction relationship between at least two elements, unless otherwise clearly defined. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0021] The following will be combined with Figures 1-4 to describe the present invention in detail. An embodiment provided by the present invention: An intelligent tourism management system for scenic spots based on Internet of Things technology, including: an application end module, a scenic spot cloud module, a personnel allocation module, a data processing module, and intelligent trash cans; Application end module: A mobile phone APP serving the scenic spot, divided into a tourist end and an internal end. The tourist end provides services such as reservation and ticket purchase for tourists, while the internal end is used by the scenic spot staff. The APP is installed in the mobile phones of the scenic spot staff to receive corresponding task assignments and navigation information.

[0022] Intelligent trash can: Distributed and installed at various locations in the scenic spot. Each of the intelligent trash cans has a corresponding number. A sensor group is installed in each of the intelligent trash cans. The sensor module is used to detect the garbage filling capacity in the trash can and the odor emitted from the trash can, set a sampling interval, collect data on the garbage filling degree and odor concentration data, and upload them to the data processing module for processing in real time through local networking; It should be noted that in this embodiment, the sensor group includes: Ultrasonic sensor: Measures the distance between the garbage surface and the bucket lid, calculates the filling rate, and is installed inside the top of the trash can; Gas sensor array: MQ-135 (detects NH3, benzene series), MQ-136 (detects H2S), installed in the ventilation holes in the middle of the side wall of the trash can.

[0023] Data processing module: Builds a corresponding database for each of the intelligent trash cans. The garbage filling degree data and odor concentration data collected by each intelligent trash can are uploaded to the corresponding database respectively. At the same time, all intelligent trash cans are arranged from high to low according to the garbage filling degree and odor concentration in the bucket. In this way, the situation inside each trash can can be seen very intuitively in the background, so that emergencies can be handled in a timely manner; A garbage filling degree threshold and an odor concentration threshold are set in the data module to monitor the garbage filling degree data and odor concentration data in each database. Once the corresponding data reaches the threshold, a garbage treatment alarm is triggered; In this embodiment, both the garbage filling degree threshold and the odor concentration threshold are set to 80%. Among them, the odor concentration threshold is 100% when MQ-135 detects NH3 at 19 mg / m³, and the odor concentration threshold is 100% when MQ-136 detects H2S at 0.03 mg / m³; It should be noted that since there will be one or two relatively popular scenic spots in each scenic area during some specific festivals or seasons, resulting in a larger flow of people than other scenic spots, the garbage filling degree threshold and odor concentration threshold for garbage treatment set in the intelligent trash cans in the area with the largest flow of people in the scenic area are 15% - 20% lower than those of the intelligent trash cans in normal areas. In this way, the garbage can be processed in a timely manner, thus avoiding the situation of being full or having a stench on the way for the cleaners to clean.

[0024] Scenic area cloud module: When the garbage filling level or odor concentration in the intelligent trash can reaches the set threshold, a garbage disposal alarm is triggered to the scenic area cloud module. The scenic area cloud module quickly locates the position of the corresponding intelligent trash can, and at the same time scans the positions of up to three nearest cleaners in the vicinity and marks them as cleaners to be cleaned. At this time, a corresponding notice of action to be taken will be sent to the corresponding application module. There may still be intelligent trash cans around each cleaner to be cleaned. If the garbage filling level in the intelligent trash can near the cleaner to be cleaned is relatively high at this time, it is not suitable to transfer the cleaner to be cleaned there. Therefore, we set the proximity of the garbage filling level data or odor concentration data of the intelligent trash cans around the cleaner to be cleaned that is close to the corresponding threshold as their idle degree. So it is necessary to compare the idle degrees of each cleaner to be cleaned, select the cleaner to be cleaned with the highest idle degree, and locate the corresponding position to plan the cleaning route between the cleaner to be cleaned and the position of the intelligent trash can that triggered the garbage disposal alarm. Select the route with the shortest distance between the cleaner to be cleaned and the intelligent trash can that triggered the garbage disposal alarm, and at the same time retrieve the crowd flow monitoring data of the scenic area to avoid congested areas and generate the corresponding cleaning route.

[0025] Personnel deployment module: Send the cleaning route to the application module of the corresponding cleaner to be cleaned, and the cleaner to be cleaned disposes of the garbage in the trash can according to the cleaning route.

[0026] It is also worth mentioning that in this embodiment, the scenic area cloud module comparing the idle degrees of the cleaners to be cleaned specifically includes collecting the numbers of the intelligent trash cans around each cleaner to be cleaned; If there are no intelligent trash cans around the cleaner to be cleaned, then the idle degree of this cleaner to be cleaned is the highest; If there are intelligent trash cans, the corresponding garbage filling level data and odor concentration data will be retrieved according to the numbers, and the label of the intelligent trash can corresponding to the item of data that is closest to the threshold in the garbage filling level data and odor concentration data will be assigned to this cleaner to be cleaned, and at the same time, this data closest to the threshold will be marked for this cleaner; The idle degree of each cleaner to be cleaned is opposite to the size of the data marked with the closest threshold. The cleaner to be cleaned with data closer to the threshold has a smaller idle degree. Therefore, each cleaner to be cleaned is marked with the intelligent trash can that most needs to be cleaned around them, so that the cleaner to be cleaned with the smallest idle degree and the cleaner to be cleaned with the largest idle degree can be seen intuitively; For example, refer to Figure 2, if the intelligent trash can No. 10 triggers a garbage disposal alarm, at this time the scenic area cloud module locates the intelligent trash can No. 10 and starts scanning the nearest cleaners in the vicinity. There are cleaners a, c, and h. Mark the three cleaners as cleaners to be cleaned. Then there are intelligent trash cans No. 11 and No. 12 around cleaner a to be cleaned, intelligent trash can No. 2 around cleaner c to be cleaned, and intelligent trash cans No. 8 and No. 9 around cleaner h to be cleaned. The background retrieves the garbage filling degree data and odor concentration data of the intelligent trash cans around the three cleaners to be cleaned and refers to Figure 3 Then: Cleaner a to be cleaned is given the label No. 12 with a 70% mark; Cleaner c to be cleaned is given the label No. 2 with a 72% mark; Cleaner h to be cleaned is given the label No. 8 with a 62% mark; To compare the idle degrees of the three cleaners to be cleaned, so the idle degree of cleaner h to be cleaned is the largest. Locate the position of cleaner h to be cleaned and plan the shortest route between it and the intelligent trash can No. 10 as the cleaning route. The personnel allocation module sends the cleaning route and the corresponding cleaning instructions to the application end module of cleaner h. Cleaner h receives the instructions and goes to the intelligent trash can No. 10 to handle the garbage.

[0027] It is also worth mentioning that in this embodiment, the garbage disposal alarms issued each time are counted for data feedback. The data processing module also includes recording the number of times each intelligent trash can triggers a garbage disposal alarm, and statistically calculating the total number of garbage disposal alarms issued by the corresponding intelligent trash can every day in the corresponding database. At the same time, the number of people entering the scenic area recorded in the application end module on the same day is uploaded to the data processing module, so as to establish a data relationship between the total number of garbage disposal alarms issued by an intelligent trash can and the total number of tourists in each database. In order to represent it intuitively, it can be a bar chart or a line chart. Analyze the data relationship of each intelligent trash can and regularly adjust the distribution positions of the intelligent trash cans in the scenic area; According to the average number of times the garbage disposal alarms of all intelligent trash cans are triggered, set a "balance range" to guide the adjustment of the trash can positions, and ensure that the number of times each intelligent trash can triggers a garbage disposal alarm is within a balanced range. If a certain trash can frequently triggers an alarm and exceeds the balanced range, it indicates that more trash cans or more efficient garbage cleaning services may be needed in this area, and the trash can distribution density in this area can be increased.

[0028] On the contrary, if some trash cans rarely trigger alarms, it may mean that not so many trash cans are needed at these locations, and they can be considered to be redistributed to places where they are more needed; At the same time, it can also flexibly adjust the distribution positions of the trash cans based on the changes in the number of tourists in different time periods such as seasonal changes and holidays to ensure the effective utilization of resources; Continuously monitor the usage of the adjusted trash cans, compare the changes in the number of times the alarm is triggered before and after the adjustment, as well as the feedback from tourists, and continuously optimize the adjustment strategy to ensure a more reasonable layout of the trash cans and improve the overall environmental quality and service level.

[0029] It should be noted that since the odor influence range in the trash can is relatively large, in this embodiment, the priority of the garbage disposal alarm triggered when the odor concentration data reaches the threshold is greater than that triggered by the garbage filling degree data. In this way, when two trash cans issue garbage disposal alarms, the cleaning staff preferentially processes the garbage disposal alarm triggered when the odor concentration data reaches the threshold, which can maximize the reduction of the negative evaluation of the scenic area by tourists and ensure the tourists' playing experience.

[0030] It should also be noted that a red warning light is set on the intelligent trash can, which lights up when the garbage disposal alarm is triggered to warn tourists not to throw garbage temporarily.

[0031] As mentioned above, it is only the specific implementation manner of the invention, but the protection scope of the invention is not limited thereto. Any change or replacement that is thought of without creative labor should be covered within the protection scope of the invention. Therefore, the protection scope of the invention should be subject to the protection scope defined by the claims.

Claims

1. An intelligent tourism management system for scenic spots based on Internet of Things technology, characterized in that: It includes an application terminal module, a scenic area cloud module, a personnel allocation module, a data processing module, and intelligent trash cans distributed in the scenic area and containing sensor groups. The intelligent trash cans use the sensor groups to collect the garbage filling degree data and odor concentration data in the trash cans and upload them to the data processing module for processing in real time. In the data processing module, a garbage filling degree threshold and an odor concentration threshold for garbage disposal are set, and when the corresponding data reaches the threshold, a garbage disposal alarm is triggered. The scenic area cloud module receives the garbage disposal alarm to locate the position of the corresponding intelligent trash can. At the same time, it scans the positions of the nearest up to three cleaning personnel in the vicinity and marks them as the to-be-cleaned personnel. Each cleaning personnel is equipped with the application terminal module. The scenic area cloud module compares the idle degrees of the to-be-cleaned personnel, selects the to-be-cleaned personnel with the highest idle degree, and locates the corresponding position to plan a cleaning route between the to-be-cleaned personnel and the intelligent trash can that triggers the garbage disposal alarm. The cleaning route is sent to the application terminal module of the corresponding to-be-cleaned personnel through the personnel allocation module, and the to-be-cleaned personnel disposes of the garbage in the trash can according to the cleaning route.

2. The intelligent tourism management system for scenic spots based on Internet of Things technology according to claim 1, wherein: The data processing module processes the collected garbage filling degree data and odor concentration data, including building a corresponding database for each intelligent trash can to record and monitor the garbage filling degree and odor concentration data in the trash can in real time, and at the same time arranging all the intelligent trash cans from high to low according to the garbage filling degree and odor concentration in the trash can.

3. The intelligent tourism management system for scenic spots based on Internet of Things technology according to claim 2, characterized in that: The data processing module also includes recording the number of times each intelligent trash can triggers the garbage disposal alarm, statistically calculating the total number of times each intelligent trash can triggers the garbage disposal alarm and the total number of tourists entering the scenic area in days, and establishing a data relationship between the total number of times each intelligent trash can triggers the garbage disposal alarm and the total number of tourists.

4. An intelligent tourism management system for scenic spots based on Internet of Things technology according to claim 3, characterized in that: Analyze the data relationship of each intelligent trash can, and regularly adjust the distribution positions of the intelligent trash cans in the scenic area to ensure that the number of times each intelligent trash can triggers the garbage disposal alarm is within a balanced range.

5. The intelligent tourism management system for scenic spots based on Internet of Things technology according to claim 4, characterized in that: The scenic area cloud module compares the idle degrees of the to-be-cleaned personnel, specifically including collecting the numbers of the intelligent trash cans around each to-be-cleaned personnel, retrieving the corresponding garbage filling degree data and odor concentration data according to the numbers, screening out the intelligent trash can label corresponding to the data closest to the threshold in the garbage filling degree data and odor concentration data and assigning it to the to-be-cleaned personnel, and at the same time marking the data closest to the threshold. The idle degree of each to-be-cleaned personnel is opposite to the size of the data marked as the closest to the threshold, and the to-be-cleaned personnel with the data closer to the threshold has a smaller idle degree.

6. The intelligent tourism management system for scenic spots based on Internet of Things technology according to claim 5, characterized in that: The planning of the cleaning route includes preferentially selecting the route with the shortest distance between the to-be-cleaned personnel and the intelligent trash can that triggers the garbage disposal alarm, and at the same time retrieving the crowd flow monitoring data of the scenic area to avoid congested areas and generate the corresponding cleaning route.

7. An intelligent tourism management system for scenic spots based on Internet of Things technology according to claim 6, characterized in that: The priority of the garbage disposal alarm triggered by the odor concentration data reaching the threshold is higher than that triggered by the garbage filling degree data.

8. The intelligent tourism management system for scenic spots based on Internet of Things technology according to claim 7, characterized in that: A red warning light is set on the intelligent trash can, which lights up when the garbage disposal alarm is triggered to warn tourists not to throw garbage temporarily.

9. An intelligent tourism management system for scenic spots based on Internet of Things technology according to claim 8, characterized in that: The garbage filling degree threshold and odor concentration threshold for garbage disposal set in the intelligent trash cans at the area with the largest tourist flow in the scenic area are 15% - 20% lower than those of the intelligent trash cans in normal areas.

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