Patent Application
20250169551
Embodiments relate to a method of managing a cigarette butt collection device with IoT using artificial intelligence (AI). More particularly, embodiments relate to a method of managing a cigarette butt collection device with IoT using AI based on collection amount information, environmental information, and location information from a plurality of cigarette butt collection devices.
Cigarette butts are one of the most common trash found in daily life, and may cause various environmental and safety problems. The main problems caused by cigarette butts thrown into trash cans are as follows. First, cigarette butts are easily flammable materials, and when cigarette butts are thrown into trash cans, the risk of fire increases. In particular, when the cigarette butts come into contact with various flammable materials inside the trash cans, the fire may spread, causing a fire accident. Second, although cigarette butts are small-volume trash containing chemicals, if cigarette butts remain in the environment for a long time, the cigarette butts may dissolve in water and may flow into the ocean and the ground, causing environmental pollution. Also, cigarette butts may emit harmful substances while decomposing in trash cans. Third, cigarette butts may be scattered around trash cans, harming the aesthetics and posing a threat to animals. Accidents such as animals swallowing cigarette butts or injuring their legs on cigarette butts may occur.
To solve the problems of the related art, an objective of the specification is to generate situation information of each cigarette butt collection device based on collection amount information, environmental information, and location information obtained from a plurality of cigarette butt collection devices and generate a management schedule based on the generated situation information.
Also, an objective of the specification is to determine a management importance based on situation information including a fire risk, a degree of damage, and a surrounding environment of each cigarette butt collection device and generate a movement line or schedule of a worker based on the management importance.
Also, an objective of the specification is to enable early detection before a fire occurs by installing a temperature and humidity sensor in a cigarette butt collection box and detecting a change in a temperature inside a trash can.
Also, an objective of the specification is to, when a temperature sensor detects a fire, quickly extinguish the fire by interoperating with a system that automatically sprays a fire extinguishing agent into a cigarette butt collection box.
Also, an objective of the specification is to improve the safety around a cigarette butt collection box through early detection of a fire and prevent environmental pollution and a threat to animals caused by a fire.
Also, an objective of the specification is to enable efficient collection and management by accurately determining the amount of cigarette butts accumulated in a cigarette butt collection box and managing the amount of cigarette butts in all installed collection boxes.
The objectives of the specification are not limited thereto and may be extended to various matters that may be derived by embodiments of the present disclosure described below.
A method of managing a cigarette butt collection device with IoT using artificial intelligence (AI), performed by a service platform server according to an embodiment of the specification, includes: obtaining collection amount information, weather information, and floating population data related to one or more cigarette butt collection devices; deriving a collection amount variation pattern of each cigarette butt collection device by applying the obtained collection amount information, weather information, and floating population data to a learning model; and calculating a predicted collection time at which each cigarette butt collection device has a certain filling degree based on the derived collection amount variation pattern, wherein the learning model is configured to receive the collection amount information, the weather information, and the floating population data as an input and output the collection amount variation pattern of each cigarette butt collection device.
In a preferred embodiment, the learning model may include a long short term memory (LSTM)-based deep learning algorithm.
In a preferred embodiment, the method of managing a cigarette butt collection device with IoT using AI may further include generating a route of a worker for cigarette butt collection by using: the collection amount variation pattern and location information of each collection device; and location information of the worker and an expected collection time of the worker.
In a preferred embodiment, the method of managing a cigarette butt collection device with IoT using AI may further include providing, as a plurality of areas displayed on a display area of a terminal of the worker, at least one of a map area where cigarette butt collection devices are displayed; a condition input area for inputting collection conditions; a collection time input area for performing collection; and a starting point information input area for starting collection, wherein the generating the route of the worker for cigarette butt collection includes generating the route of the worker for cigarette butt collection by further using cigarette butt collection conditions, collection time, and starting point information.
In a preferred embodiment, only a cigarette butt collection device corresponding to the input collection conditions and a cigarette butte collection device with a certain fire risk level may be displayed on the map area.
In a preferred embodiment, the method of managing a cigarette butt collection device with IoT using AI may further include calculating an elapsed time from a last collection date of each cigarette butt collection device, and predicting a contamination level of each cigarette butt collection device based on the calculated elapsed time, the collection amount variation pattern of each cigarette butt collection device, and past weather information; and displaying the predicted contamination level on a map or adding to the collection route even when the certain conditions are not satisfied.
In a preferred embodiment, the method of managing a cigarette butt collection device with IoT using AI may further include: receiving internal temperature information inside each cigarette butt collection device from the cigarette butt collection device; and calculating a fire risk level of each cigarette butt collection device based on the received internal temperature information of each cigarette butt collection device and the weather information.
In a preferred embodiment, the method of managing a cigarette butt collection device with IoT using AI may further include setting an alarm range according to the calculated fire risk level, and providing an alarm with in the set alarm range, wherein the alarm range includes an alarm method and an alarm receiver.
According to an embodiment of the specification, situation information of each cigarette butt collection device may be generated based on collection amount information, environmental information, and location information obtained from a plurality of cigarette butt collection devices and a management schedule may be generated based on the generated situation information.
Also, according to an embodiment of the specification, a management importance may be determined based on situation information including a fire risk, a degree of damage, and a surrounding environment of each cigarette butt collection device and a movement route or schedule of a worker may be generated based on the management importance.
According to an embodiment of the specification, early detection may be possible before a fire occurs by installing a temperature and humidity sensor in a cigarette butt collection box and detecting a change in a temperature inside a trash can.
Also, according to an embodiment of the specification, when a temperature sensor detects a fire, the fire may be quickly extinguished by interoperating with a system that automatically sprays a fire extinguishing agent into a cigarette butt collection box.
Also, according to an embodiment of the specification, the safety around a cigarette butt collection box may be improved through early detection of a fire and environmental pollution and a threat to animals caused by a fire may be prevented.
Also, according to an embodiment of the specification, efficient collection and management may be possible by accurately determining the amount of cigarette butts accumulated in a cigarette butt collection box and managing the amount of cigarette butts in all installed collection boxes.
The effects of the specification are not limited thereto and may be extended to various content that may be derived from the detailed description of the following embodiments of the present disclosure.
In describing the embodiments of the present disclosure, when it is determined that a certain detailed description of known elements or functions may obscure the subject matter of the embodiments of the present disclosure, the detailed description is omitted. In the drawings, elements that are irrelevant to the embodiments of the present disclosure are omitted, and like reference numerals are affixed to like elements.
In the embodiments of the present disclosure, when an element is referred to as being “connected to”, “coupled to” or “linked to” another element, it can be directly connected to the other element, and intervening elements may be present. Additionally, the term “comprises” or “includes” when used in this specification, specifies the presence of stated element but does not preclude the presence or addition of one or more other elements unless the context clearly indicates otherwise.
In the embodiments of the present disclosure, the terms “first”, “second” and the like are used to distinguish one element from another, and are not intended to limit the order or importance between the elements unless otherwise specified. Accordingly, in the scope of the embodiments of the present disclosure, a first element in an embodiment may be referred to as a second element in other embodiment, and likewise, a second element in an embodiment may be referred to as a first element in other embodiment.
In the embodiments of the present disclosure, the distinguishable elements are for the purpose of clearly describing the features of each element, and it does not necessarily mean that the elements are separated. That is, a plurality of elements may be integrated into a single hardware or software, and a single element may be distributed into a plurality of hardware or software. Accordingly, unless the context clearly indicates otherwise, the integrated or distributed embodiment is included in the scope of the embodiments of the present disclosure.
In the present disclosure, a network may be the concept including a wired network and a wireless network. In this instance, the network may refer to a communication network for data exchange between a device and a system and between devices, and is not limited to a specific network.
The embodiments described in the present disclosure may have aspects of entirely hardware, partly hardware and partly software, or entirely software. In the present disclosure, “unit”, “device” or “system” refers to a computer related entity such as hardware, a combination of hardware and software or software. For example, in the present disclosure, the unit, module, device or system may include a process that is being executed, a processor, an object, an executable, a thread of execution, a program, and/or a computer, but is not limited thereto. For example, both an application running in a computer and the computer may correspond to the unit, module, device or system of the present disclosure.
Additionally, in the present disclosure, the device may be not only a mobile device such as a smartphone, a tablet PC, a wearable device and Head Mounted Display (HMD), but also a fixed device such as a PC or an electric appliance having a display function. Additionally, for example, the device may be a cluster in a car or an IoT (Internet of Things) device. That is, in the present disclosure, the device may refer to devices in which applications can work, and is not limited to a particular type. Hereinafter, for convenience of description, devices in which applications work are referred to as the device.
In the present disclosure, a communication method of the network is not particularly limited, and each element may not be connected by the same networking method. The network may include not only communication methods using communication networks (for example, a mobile communication network, a wired Internet, a wireless Internet, a broadcast network and a satellite network) but also local area wireless communication between devices. For example, the network may include any communication method for networking between objects, and is not limited to wired communication, wireless communication, 3G, 4G, 5G, or any other method. For example, the wired and/or wireless network may refer to a communication network by at least one communication method selected from the group consisting of Local Area Network (LAN), Metropolitan Area Network (MAN), Global System for Mobile Network (GSM), Enhanced Data GSM Environment (EDGE), High Speed Downlink Packet Access (HSDPA), Wideband Code Division Multiple Access (W-CDMA), Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Bluetooth, Zigbee, Wi-Fi, VoIP (Voice over Internet Protocol), LTE Advanced, IEEE802.16m, WirelessMAN-Advanced, HSPA+, 3GPP Long Term Evolution (LTE), Mobile WiMAX (IEEE 802.16e), UMB (formerly EV-DO Rev. C), Flash-OFDM, iBurst and MBWA (IEEE 802.20) systems, HIPERMAN, Beam-Division Multiple Access (BDMA), Wi-MAX (World Interoperability for Microwave Access) and communication using ultrasonic waves, but is not limited thereto.
The elements described in various embodiments are not necessarily essential elements, and some of them may be optional elements. Accordingly, embodiments including a subset of elements described in the embodiments are also included in the scope of the embodiments of the present disclosure. Additionally, embodiments including the elements described in various embodiments and further including other elements are included in the scope of embodiments of the present disclosure.
Hereinafter, the embodiments of the present disclosure will be described in detail with reference to the accompanying drawings.
The user device 110 may be a fixed or mobile terminal implemented by a computer system. The user device 110 may include, for example, a smart phone, a mobile phone, a navigation, a computer, a laptop computer, a terminal for digital broadcast, Personal Digital Assistant (PDA), Portable Multimedia Player (PMP), a tablet PC, a game console, a wearable device, a smart ring, an Internet of Things (IoT) device, a virtual reality (VR) device and an augmented reality (AR) device. For example, in the embodiments, the user device 110 may, in substance, refer to one of various physical computer systems that can communicate with the servers 120 to 140 via the network 1 using a wireless or wired communication method.
Each server may be implemented as a computer device or a plurality of computer devices that provide instructions, code, files, content and services by communication with the user device 110 via the network 1. For example, the server may be a system that provides each service to the user device 110 having made connection via the network 1. As a more specific example, the server may provide intended services (for example, providing information) to the user device 110 through an application as a computer program installed and running on the user device 110. As another example, the server may distribute files for installation and execution of the above-described application to the user device 110, receive user input information and provide the corresponding services.
Referring to
In other embodiment, the software components may be loaded onto the memory 210 through the communication module 230 rather than the computer-readable recording medium. For example, at least one program may be loaded onto the memory 210 based on the computer program (for example, the above-described application) installed by the files provided by developers or a file distribution system (for example, the above-described server) that distributes the installer files of the application via the network 1.
The processor 220 may be configured to execute the instructions of the computer program by the basic operations, i.e., arithmetic and logic operations and input and output operations. The instructions may be provided to the processor 220 by the memory 210 or the communication module 230. For example, the processor 220 may be configured to execute the received instructions according to the program code stored in the recording device such as the memory 210.
The communication module 230 may provide a function for communication between the user device 110 and the servers 120 to 140 via the network 1, and may provide a function for communication between each of the device 110 and/or the servers 120 to 140 and another electronic device.
The transmitter/receiver 240 may be a means for interfacing with an external input/output device (not shown). For example, the external input device may include a keyboard, a mouse, a microphone and a camera, and the external output device may include a display, a speaker and a haptic feedback device.
Additionally, in other embodiments, the computing device 200 may include a larger number of components than the components of
In an embodiment, the cigarette butt storage unit 50 may have a space in which cigarette butts are stored, and may be separated from the body 310. The cigarette butt storage unit 50 may be formed of a flame retardant material to prevent a fire because the cigarette butt storage unit 50 may store cigarette butts with remaining embers.
In an embodiment, the body 310 may include an inlet 301 into which cigarette butts are introduced, and may further include a ventilation portion 302 for internal ventilation. The ventilation portion 302 may have a plurality of holes, but this is only an example, and the inlet 301 may function as a ventilation portion.
Also, the body 310 may include a roof 304 to cover at least a portion of the inlet 301. The roof 304 may prevent or reduce introduction of rain or snow into the inlet.
In an embodiment of the specification, the sensor device 320 may detect internal and external environments of the cigarette butt collection device 300. Although the sensor device is provided inside the body in
In an embodiment, the sensor device 320 may include at least one of an infrared sensor, an acceleration sensor, a color camera, a depth camera, a color depth camera, a temperature sensor, a humidity sensor, a radar sensor, and a weight sensor. Accordingly, an image, heat, object, temperature, humidity, weight, etc. inside or outside the cigarette butt collection device 300 may be sensed. In more detail, the sensor device may sense at least one of a filling degree, weight, temperature, humidity, color, object type, the presence or size of a flame as an environment of the storage unit. In an embodiment, the presence or size of a flame may be detected based on a thermal image or a color image, but the present disclosure is not limited thereto.
The cigarette butt collection device 300 according to an embodiment of the specification may further include an automatic fire extinguishing device 350 provided inside the body and configured to transmit a fire extinguishing agent to the storage unit according to a command of the control device based on the sensor information.
The automatic fire extinguishing device 350 may operate to spread the fire extinguishing agent inside the body based on temperature or fire-related information (e.g., flame) obtained according to sensing of the sensor device.
Also, according to an embodiment of the specification, the data logger cube 330 may be communicatively connected to the control device or the sensor device and may communicate with the external server in a short or long distance. The data logger cube may operate in various communication environments such as, but not limited to, Wi-Fi, Bluetooth, 4G, and 5G.
Also, the data logger cube 330 may be communicatively connected to the sensor device by wire or wirelessly, and the data logger cube 330 may be attached to an outer surface of the body. In an embodiment, the data logger cube 330 may be a module type that may be detachably attached to the outer surface of the body. Accordingly, the data logger cube 330 may be easily separated from the body, and internal heat may not be directly transferred to the device.
According to an embodiment of the specification, the cigarette butt collection device 300 may further include a rainwater inlet that may be opened and closed to introduce external rainwater into the storage unit. The rainwater inlet may be the ventilation portion 302 or the inlet 301. Preferably, the rainwater inlet may be the same as the ventilation portion.
In an example of the specification, when it is determined that a fire occurs in the storage unit 50 or there is a high possibility of a fire, the control device 340 may separate the data logger cube 330 mounted on the cigarette butt collection device from the body 310 to respond immediately. Because the data logger cube serves as a key data storage and communication role for the device, when the data logger cube is damaged by a fire, the operation and communication of the entire device may be interrupted. To prevent this, the control device may be designed to continuously monitor specific conditions such as temperature, humidity, and flame and separate the data logger cube when the conditions exceed a threshold value.
For example, when a temperature of the storage unit rises above a certain value or a humidity inside the storage unit falls below a certain value, the control device determines that a fire risk inside has increased. This situation may occur when cigarette butt embers are reignited or when there is a possibility of a flame in a high-temperature environment. In this case, the control device may issue a command to separate the data logger cube for immediate response. Also, when a flame is directly detected or a fire sign is detected by a thermal image or infrared sensor, the control device may quickly separate the data logger cube so that the data logger cube is not damaged. Because the data logger cube is a key data storage and communication device of the cigarette butt collection device, a mechanism for protecting the data logger cube is very important. In the event of high-temperature or physical damage due to a fire, when the data logger cube is damaged, the device may no longer communicate with the external server and there is a risk that collected data will be lost. Accordingly, the control device may automatically separate the data logger cube to prevent this situation in advance, and thus, the data logger cube may be maintained in a safe state.
To this end, in an example, the data logger cube 330 may be attached to the body by using an electromagnetic force. That is, the data logger cube may be separated from the body according to an electrical control signal, thereby quickly responding to a fire situation. The electromagnetic force is adjusted by a signal of the control device, and, when the cube, which is attached, needs to be separated, the cube may be safely separated by weakening a magnet or cutting off current through an electrical signal. This method provides high reliability and enables rapid response in a fire situation. However, the electromagnetic method is only an example, and a mechanical coupling structure may also be implemented. In the mechanical coupling structure, the data logger cube may be physically separated from the body by rotating or moving a certain locking portion. For example, a method in which the locking portion is operated by a spring or gear mechanism and is automatically released when a fire signal is detected to separate the data logger cube may be used. This mechanical structure provides a simple yet stable separation mechanism and may minimize damage to the data logger cube.
The primary blocking unit 360 may be designed to be automatically opened when cigarette butts are accumulated to a certain weight or more. For example, when multiple cigarette butts are placed on the primary blocking unit and their accumulated weight exceeds a certain threshold, the primary blocking unit may be automatically opened to drop the cigarette butts into the storage unit below. This allows cigarette butts to be moved to the storage unit at an appropriate time, thereby preventing them from unnecessarily staying on the primary blocking unit for a long time. Also, because cigarette butts that are introduced fall into the storage unit at once when the primary blocking unit is opened, collection efficiency may increase and the device may smoothly operate.
In another embodiment, the primary blocking unit 360 may be opened and closed according to a signal of the control device. The control device may monitor a state of cigarette butts placed on the primary blocking unit based on sensor data and may issue command to open or close the primary blocking unit when necessary. For example, the control device may be designed to sense temperature, weight, or other physical characteristics of cigarette butts and open the primary blocking unit when certain conditions are satisfied. Accordingly, cigarette butts may be prevented from falling directly into the storage unit unnecessarily, and cigarette butts may be processed in a safe state. This opening and closing method based on a signal of the control device allows more sophisticated operation and may respond to various environmental conditions.
For example, a cigarette butt with some remaining embers may be left waiting for a certain period of time on the primary blocking unit so that the cigarette butt does not immediately fall into the storage unit. In this case, the embers are likely to be naturally extinguished, which plays an important role in reducing the risk of fire caused by direct contact with other cigarette butts inside the storage unit. This method has the effect of preventing a fire in advance and increases overall safety by preventing cigarette butts from directly contacting other flammable materials.
In another example, the primary blocking unit may operate based on temperature information collected from a sensor. The control device may be designed to sense a temperature of cigarette butts placed on the primary blocking unit and open the primary blocking unit only when the temperature is equal to or lower than a certain temperature. For example, when it is determined that a temperature of cigarette butts is sufficiently lowered and embers are completely extinguished, the control device may open the primary blocking unit to safely drop the cigarette butts into the storage unit. This temperature-based control method enables more precise fire prevention and ensures that cigarette butts are moved to the storage unit only when the cigarette butts are in a safe state. The primary blocking unit may not only temporarily store cigarette butts but also separate the cigarette butts so that they are not mixed from other trash. For example, when foreign objects (e.g., a paper cup and plastic pieces) in addition to cigarette butts are introduced, the control device may detect the foreign objects, may separate the foreign objects on the primary blocking unit, and then may drop only the cigarette butts into the storage unit. This separation function may help the cigarette butts to be appropriately processed in the storage unit, and may maintain efficient management and cleanliness in the storage unit. In conclusion, the primary blocking unit temporarily stores cigarette butts without directly dropping them into the storage unit, and may act as an important intermediate step for safe processing of the cigarette butts. Accordingly, embers of cigarette butts may be naturally extinguished or cigarette butts may be managed to be safely moved to the storage unit according to the determination of the control device, and an additional fire prevention function may also be provided.
In an embodiment, the service server 400 may include a processing device 410 for processing obtained information to predict a collection amount of each collection device, generate a collection schedule and route, or predict or respond to the occurrence of a fire. As shown in
In another embodiment, the service server 400 may include a UXUI providing unit 430 that provides a dashboard for a service server operator or a user using the service server (e.g., a company or individual performing management such as maintenance and repair of one or more cigarette butt collection devices).
In an embodiment, the service server 400 may be connected to at least one cigarette butt collection device 300, and may receive environmental information around the collection devices 300 (weather, floating population, temperature, and humidity, etc.), information related to the device (temperature and humidity inside the device, the type and amount of objects included in a storage unit, etc.), and control information on the device (opening and closing of an inlet, whether an automatic fire extinguishing device operates, state information of a sensor, etc.), and may transmit information for controlling an operation of the collection device to the device for collection.
The method of managing a cigarette butt collection device with IoT using AI according to an embodiment of the specification may be performed by a service platform server (the service server 400). The method of managing a cigarette butt collection device with IoT using AI may include obtaining, by the service server, collection amount information, weather information, and floating population data related to at least one cigarette butt device. The collection amount information, the weather information, and the floating population data may be directly received from the cigarette butt collection device 300, or the collection information may be received at least from the cigarette butt collection device, or at least one of the weather information or the floating population data may be received from the external server. The external data may include an arbitrary server (e.g., government office server) that opens public data, but the present disclosure is not limited thereto. The weather information may include weather information around each collection device, and the floating population data may include the number of people passing around the collection device or the number of people using the collection device.
Next, the service server 400 may derive a collection amount variation pattern of each cigarette butt collection device by applying the obtained collection amount information, weather information, and floating population data to a learning model. The learning model may be a model that receives the collection amount information, the weather information, and the floating population data as an input and outputs the collection amount variation pattern of each cigarette butt collection device.
That is, a specific pattern may be derived based on past information about the amount of cigarette butts collected in the cigarette butt collection device, and how a collection amount will change in the future may be predicted based on the specific pattern.
In detail, referring to
Specifically, in addition to collection volume information, the first parameter set includes weather information and foot traffic data, where the weather information can include details such as precipitation, humidity, wind, and temperature. These parameters are continuously updated through the collection amount prediction unit (411), which employs an LSTM-based deep learning algorithm to process and learn from historical data. This enables the collection amount prediction unit (411) to identify temporal patterns of collection volume fluctuations and predict future changes in collection volume with enhanced accuracy.
In one embodiment, the collection amount prediction unit (411) monitors the saturation state of each collection bin in real-time using the trained model and can predict when specific thresholds will be reached. For instance, the system may calculate the time when a bin's fill level will exceed 80% and recommend an optimized schedule for collection operations. This predictive capability significantly improves the efficiency of collection activities, minimizes unnecessary collection trips, and prevents issues such as overfilled bins.
The learning model employed of the present invention distinguishes itself by analyzing the correlation between various external factors to derive patterns in collection volume changes. Unlike conventional systems that rely solely on historical statistical data, this approach integrates dynamic factors like weather conditions and fluctuations in floating population density, thereby achieving higher predictive accuracy. By incorporating these factors into the prediction model, the operational efficiency of the cigarette butt collection device is maximized, ensuring not only urban cleanliness but also resource management optimization.
In an exemplary implementation, the collection amount prediction unit (411) calculates a predicted collection time for each cigarette butt collection device, based on derived patterns in collection volume fluctuations. The predicted collection time may be determined by user-defined thresholds (e.g., a fill level of 80%) or by changes in the rate of filling, calculated over a specific time period. For example, a collection time may be triggered if the fill level remains above a set threshold for a predetermined duration.
In one embodiment of the present disclosure, the optimal route generation unit (412) may generate a route for a worker to collect cigarette butts using the above collection volume fluctuation pattern, the location information of the collection device, the location information of the worker, and the estimated collection time of the worker. the optimal route generation unit (412) can generate an optimal route for a worker by comprehensively utilizing data including the collection volume fluctuation pattern, the location information of the collection device, and the location information and estimated collection time of the worker to operate the cigarette butt collection device more efficiently. In the present invention, an artificial intelligence-based route optimization technique may be applied, which utilizes a Traveling Salesman Problem (TSP) algorithm to help workers perform maximum collection tasks with minimum movement.
In one embodiment, the second parameter set is generated by the optimal route generation unit (412). The second parameter set includes at least one of real-time collection volume information for each bin, precise location information via GPS, a walkable distance for the worker, and an estimated work time. These datasets are processed in real-time by the service server using the TSP algorithm to calculate routes that minimize travel time and distance. By factoring in starting points and total expected collection times, the system generates a fully optimized route even before collection activities commence. Moreover, the optimized route can be dynamically updated during operations. For instance, if a bin fills up more rapidly than expected or there are sudden weather changes, the system recalculates the route in real-time. This recalibration capability ensures that workers can respond effectively to unexpected situations, thereby improving overall operational adaptability.
The service server supports real-time route guidance via mobile devices or web platforms used by workers. Workers can monitor the fill status and location of each bin, as well as their planned travel route, through a user-friendly interface. Additionally, the system provides real-time alerts, such as notifications when a bin is nearing its maximum capacity or when adverse weather conditions are anticipated. These features allow workers to preemptively adjust their operations to address such issues, further enhancing the efficiency of the collection process.
By optimizing collection routes and updating them in real time, the system moves beyond merely utilizing static collection data or location information. Instead, it leverages live data to continually refine worker routes and reduce unnecessary travel, thereby maximizing operational efficiency. This capability is particularly advantageous for large urban environments, where the ability to streamline collection operations is critical. Through its advanced optimization and real-time recalibration features, the system minimizes resource waste while maximizing the productivity of collection activities. This approach not only provides technical utility but also establishes a framework for efficient and sustainable urban waste management.
In
In the map area 910, and a map and cigarette butt collection devices 911-913 may be displayed at corresponding locations. Collection devices whose display is activated in the map area 910 may include only collection devices corresponding to conditions input to the collection condition input area 920, or the collection devices corresponding to the input conditions may be displayed on the map to be distinguished from other devices. The optimal route generation unit 412 may determine a collection device to be collected based on the conditions input (checked) to the collection condition input area 920, may generate an optimal route based on a location and collection amount of the determined collection device and a starting point location and expected work time of a worker, and may display the optimal route on the map.
In an embodiment, the optimal route generation unit 412 may generate a route of the worker for cigarette butt collection by further using input cigarette butt collection conditions, collection time, and starting point information.
In another example, the service server 400 may calculate and quantify a level of contamination of each cigarette butt collection device, or a level of fire risk. The level of contamination may be determined based on the degree to which the cigarette butt is filled, the length of time it has been filled, humidity, outside temperature, inside temperature, weather information, etc. For example, a collection device that is 10% full, has experienced frequent rainy days, and has not been collected for two weeks may have a higher contamination level than a device that is 50% full, has experienced sunny weather, and has only been in use for two days. Based on these contamination levels, and referring to
Furthermore, in one embodiment, the UXUI provision 430 may display on the map area only those cigarette butt collection devices that meet the entered collection conditions and those that have a predetermined fire risk, i.e., those that are not required to be collected but are a fire hazard and need to be checked, so that the administrator is aware of them.
In another embodiment of the present disclosure, the service server 400 may calculate the elapsed time since the last collection date of each cigarette butt collection device, and may predict the pollution level of each cigarette butt collection device based on the calculated elapsed time, the pattern of fluctuations in the collection volume of each cigarette butt collection device, and historical weather information, and may then display the predicted pollution level on the map or add it to the collection route without meeting the predetermined conditions.
According to another embodiment of the present disclosure, the service server 400 utilizes a variety of data to more precisely predict the contamination status of each cigarette butt collection device. Specifically, the service server 400 calculates the elapsed time from the last collection date of each cigarette butt collection device to the present, and this elapsed time data is utilized as a key factor for predicting contamination. The longer the elapsed time, the higher the level of contamination around that collection device is likely to be, and the service server 400 can evaluate collection prioritization based on this.
In addition to this elapsed time information, the service server 400 also analyzes the collection volume fluctuation patterns of each cigarette butt collection device and historical weather information to predict pollution levels. For example, if the collection volume fluctuation pattern of a particular collection device shows a sharp increase, it may be due to high foot traffic in the area or certain environmental factors. Historical weather information can also provide important variables for predicting pollution levels. For example, a rainy day may result in relatively less trash, while a dry day may result in higher pollution levels. By analyzing all of these factors together, the service server 400 can more accurately predict the contamination level of each cigarette butt collection device.
The predicted contamination information can be visually displayed on a map, allowing administrators to see at a glance the contamination status of each area. The map can provide an intuitive view of the contamination status for managers by color-coding collection units with high contamination in red, medium contamination in orange, and low contamination in green. This allows managers to instantly see the contamination level of their collection units and provides a baseline for prioritizing high contamination areas.
Additionally, if the predicted contamination level exceeds a certain threshold or does not meet prescribed conditions, the collection unit can be included in an additional collection route. For example, if the contamination level of a particular collection unit is higher than expected, the unit can be included in a temporary collection schedule in addition to the original collection schedule to enable a quick response. This approach contributes to maintaining cleanliness in highly contaminated areas and preventing environmental pollution.
Thus, the service server 400 according to the present embodiment enables the service server 400 to perform efficient collection operations by reflecting real-time changing environmental information, rather than simply following a predetermined collection schedule through pollution level prediction. This provides an important technical basis for more efficient management of garbage pollution problems in urban environments, and can contribute to increasing the efficiency of collection operations while improving the quality of environmental management.
In another embodiment, the service server may receive temperature and humidity information inside the cigarette butt collection device from the cigarette butt collection device, and then calculate a fire risk for each cigarette butt collection device based on the received temperature and humidity information inside the cigarette butt collection device and the above weather information. The risk of fire may be assessed as high if the temperature and humidity inside the collection device is significantly different from the temperature and humidity outside, or if the humidity inside the collection device increases rapidly when the humidity outside is low.
In another embodiment, the service server may receive internal temperature and humidity information from the cigarette butt collection device in real time to monitor the safety of each cigarette butt collection device. This temperature and humidity information can be utilized as important data to determine the internal condition of each collection device, which can be critical in predicting the likelihood of a fire occurring. The service server will synthesize this internal information with ambient weather information to calculate the fire risk for each cigarette butt collection device.
For example, if the temperature inside the collection device rises rapidly or the humidity fluctuates rapidly, this can be considered a potential fire hazard. In particular, if the temperature inside the collection device remains significantly higher than the outside temperature for a sustained period of time, it is possible that heat is being generated internally. Due to the nature of cigarette butt collection devices, where cigarette butts can be discarded with residual heat, changes in internal temperature and humidity are important risk indicators.
By analyzing this internal temperature and humidity information against weather information, the service server can predict the likelihood of a fire. In dry weather with very low outside humidity, a sharp increase in the internal humidity of the collection unit suggests that combustion may be in progress or that a combustion environment is being created inside the collection unit. In addition, during the summer months when the outside temperature is high, the temperature inside the collection unit is likely to rise further, making the risk of fire relatively higher during these times.
Based on these data, the service server can quantify and display the fire risk of each collection unit. For example, the fire risk can be expressed numerically, such as 40% or 50%. In another example, to make it easier for the administrator to distinguish and identify the degree of fire risk, the risk can be divided into bands and visualized in green for low-risk devices, yellow for medium-risk devices, red for high-risk devices, etc. This allows managers to see at a glance the fire risk of each collection device. This visual information helps administrators quickly identify high-risk collection devices and take necessary actions to effectively manage fire risk in the city.
The service server can also send alert notifications to administrators about collection devices whose risk level has risen above a certain threshold. For example, if the internal temperature and humidity of a particular collection unit are simultaneously fluctuating rapidly and are assessed as having a high fire potential, the administrator can take action on that collection unit through an immediate warning notification. This may enable the administrator to respond quickly.
Thus, the service server according to the present embodiment may go beyond simply monitoring the collection status of the collection devices, and may utilize internal status and weather information to assess the fire risk of each collection device and allow the administrator to respond quickly.
(B) of
Referring to (C) of
The above-described embodiments may be realized, at least in part, in a computer program and recorded on a computer-readable recording medium. The computer-readable recording medium that stores the program for realizing the embodiments includes any type of recording device in which computer-readable data is stored. Examples of the computer-readable recording medium include ROM, RAM, CD-ROM, magnetic tape and an optical data storage device. Additionally, the computer-readable recording medium is distributed over computer systems connected via a network, and may store and execute a computer-readable code in a distributed manner. Additionally, a functional program, code and a code segment for realizing this embodiment will be easily understood by persons having ordinary skill in the technical field to which this embodiment belongs.
While the present disclosure has been hereinabove described with reference to the embodiments shown in the drawings, this is provided for illustration purposes only and it will be appreciated by persons having ordinary skill in the art that a variety of modifications and variations may be made thereto. However, it should be noted that such modifications fall within the technical protection scope of the present disclosure. Therefore, it should be noted that the true technical protection scope of the present disclosure includes other embodiments, other examples and equivalents to the claims by the technical spirit of the appended claims.
| Number | Date | Country | Kind |
|---|---|---|---|
| 10-2023-0166310 | Nov 2023 | KR | national |
| 10-2024-0145970 | Oct 2024 | KR | national |
