Dormitory environmental pollution monitoring and early warning system based on artificial intelligence technology

Abstract

The invention discloses a dormitory environmental pollution monitoring and early warning system based on an artificial intelligence technology in the technical field of artificial intelligence, and the system comprises an environmental information collection module which is used for collecting dormitory information; the image analysis module is used for analyzing the image information; the evaluation module is used for evaluating the type of an event occurring in the dormitory according to the environment information and the personnel activity type analysis result to obtain an evaluation result and an emergency evaluation result; the reporting module is used for remotely reporting to a dormitory contact person according to the evaluation result obtained by the evaluation module and carrying out voice reminding in a dormitory; and the purification module is used for purifying the ambient air quality in the dormitory according to the evaluation result obtained by the evaluation module. The system is novel and effective, the air quality decline source is analyzed through air quality detection and personnel action images, indoor air is automatically purified and reported to dormitory contacts, direct conflicts among dormitory friends are avoided, and life and property safety of dormitory residents is protected.

Description

Technical Field

[0001] The invention belongs to the field of artificial intelligence technology, and specifically is a dormitory environmental pollution monitoring and early warning system based on artificial intelligence technology. Background Art

[0002] As people's pursuit of quality of life continues to improve, the air quality of dormitory environment has received more and more attention. Dormitory environmental pollution may come from a variety of factors, such as harmful gases released by indoor decoration materials, infiltration of outdoor air pollutants, poor indoor ventilation, etc. These factors may have a negative impact on the health of residents. In addition, if someone smokes in a room where multiple people live together, it will cause indoor smoke, and secondhand smoke will also affect the health of non-smokers.

[0003] The existing dormitory environmental pollution monitoring system can monitor the temperature, humidity, concentration of harmful gases and other indicators in the dormitory environment in real time, and issue early warnings in time. This helps residents take timely measures to improve environmental quality and protect their health, but it is obviously insufficient to only monitor the indoor control quality. The analysis of the source of air quality degradation will help users better solve the problem of air quality degradation. The deterioration of air quality caused by human smoking is difficult to avoid. After the indoor air quality deteriorates, users need to purchase an air purifier separately to purify the air. For this reason, it is necessary to propose a dormitory environmental pollution monitoring and early warning system based on artificial intelligence technology that can monitor the control quality of the dormitory and analyze the source of pollution, remind dormitory contacts in advance to avoid secondhand smoke, improve roommate relationships, and ensure the safety of dormitory personnel. Summary of the invention

[0004] In order to solve the above problems, the purpose of the present invention is to provide a dormitory environmental pollution monitoring and early warning system based on artificial intelligence technology, which can automatically purify the indoor air through air quality detection and personnel motion image analysis, and report to the dormitory contact person to avoid direct conflicts between roommates and protect the lives and property of dormitory residents.

[0005] In order to achieve the above-mentioned purpose, the technical scheme of the present invention is as follows: a dormitory environmental pollution monitoring and early warning system based on artificial intelligence technology, including an environmental information collection module, an image analysis module, an evaluation module, a reporting module and a purification module,

[0006] Environmental information collection module, used to collect dormitory environmental information, human activity images and environmental images;

[0007] An image analysis module is used to analyze images of personnel activities and environmental images and identify the types of personnel activities;

[0008] An evaluation module is used to evaluate the types of events that occurred in the dormitory based on the analysis results of environmental information and personnel activity types, and obtain evaluation results and emergency evaluation results;

[0009] The reporting module is used to remotely report the evaluation results obtained by the evaluation module to the dormitory contact person and make voice reminders in the dormitory;

[0010] The purification module is used to purify the ambient air quality in the dormitory according to the evaluation results obtained by the evaluation module.

[0011] The principle of the basic solution is: the technical solution of the present invention is based on artificial intelligence and Internet of Things technology, and realizes accurate monitoring of dormitory environment quality by real-time collection and analysis of dormitory environment information. The image analysis module can identify the type of human activity in the dormitory and provide important reference information for the evaluation module. The evaluation module determines whether the dormitory environment is safe and healthy based on this information and generates corresponding evaluation results. The reporting module and the purification module take corresponding actions based on the evaluation results, report to the dormitory contact person and start the purification equipment respectively.

[0012] The beneficial effects of the basic scheme are as follows: 1. Through the dormitory environmental pollution monitoring and early warning system of the present invention, continuous and real-time monitoring of dormitory environmental quality can be achieved. The system can accurately capture key environmental indicators such as changes in air quality, temperature and humidity fluctuations, and ground water stains in the dormitory, so as to timely discover and deal with potential environmental pollution problems. This not only helps to keep the air in the dormitory fresh and comfortable, but also effectively prevents health problems caused by poor environment.

[0013] 2. This system can monitor the dormitory environment from all directions and angles by integrating multiple functional modules such as environmental information collection, image analysis, evaluation and early warning. Once abnormal environmental indicators or potential health risks are detected, the system will immediately issue an early warning to remind residents to take appropriate protective measures. At the same time, the purification module will automatically start or adjust the air purification equipment according to the evaluation results to ensure that the air quality in the dormitory is always within a safe and healthy range. This greatly reduces the risk of residents becoming ill due to environmental pollution and ensures their health and safety.

[0014] 3. Traditional dormitory management methods often rely on manual inspections and manual recording, which is not only time-consuming and laborious, but also difficult to achieve real-time and comprehensive monitoring. The system of the present invention realizes real-time monitoring and early warning of the dormitory environment in an intelligent and automated manner. Once a problem is found, the system will immediately notify the dormitory contact person or manager through remote reporting and voice reminders, thereby greatly improving the efficiency and response speed of dormitory management. This enables managers to take quick measures to solve the problem and avoid further deterioration of the situation.

[0015] 4. The dormitory environment pollution monitoring and early warning system of the present invention integrates advanced technologies such as artificial intelligence and the Internet of Things, and realizes intelligent monitoring and management of the dormitory environment. This not only improves the scientific and technological content and intelligent level of dormitory management, but also provides a new idea and direction for future dormitory management. With the continuous advancement of technology and the in-depth promotion of its application, it is believed that dormitory management will become more and more intelligent, automated and humanized.

[0016] 5. Through the real-time monitoring and early warning functions of this system, residents can intuitively understand the environmental quality of the dormitory and the impact of their own behavior habits on the environment. This helps to enhance their environmental awareness and sense of responsibility, and encourages them to participate more actively in the maintenance and improvement of the dormitory environment. At the same time, the system can also provide residents with scientific environmental protection suggestions and guidance to help them better protect the environment and maintain their health.

[0017] Furthermore, the environmental information collection module includes an air quality collection unit, a water accumulation collection unit and several cameras.

[0018] An air quality collection unit, used to collect air quality information inside and outside the dormitory;

[0019] A water accumulation collection unit is used to collect water accumulation information on the dormitory floor;

[0020] The camera is used to capture dormitory interior scenes, personnel activities and environmental image information from different angles.

[0021] The beneficial effects of the basic solution are: 1. The environmental information collection module integrates the air quality collection unit, the water accumulation collection unit and multiple cameras, which can collect the environmental information in the dormitory from all directions and angles. The air quality collection unit can accurately measure the key indicators such as the content of harmful substances, temperature and humidity in the air inside and outside the dormitory, and provide accurate data for evaluating the air quality of the dormitory. The water accumulation collection unit can monitor the water accumulation on the floor of the dormitory in real time to prevent safety hazards such as slips and mildew caused by water accumulation on the floor. The camera can capture the interior scenes, personnel activities and environmental images of the dormitory, providing an important basis for subsequent image analysis and event evaluation.

[0022] 2. By integrating multiple sensors and cameras, the environmental information acquisition module can achieve real-time monitoring and comprehensive perception of the dormitory environment. Compared with the traditional manual inspection method, this automated and intelligent monitoring method not only greatly improves the monitoring efficiency, but also reduces human errors and improves the accuracy and reliability of data.

[0023] 3. The environmental information collection module can upload the collected data to the evaluation module in real time. Once an abnormal environmental indicator or potential safety hazard is detected, the system will immediately issue an early warning signal. This helps residents and managers to find problems in time and take corresponding measures, thereby effectively avoiding environmental pollution and safety accidents.

[0024] Furthermore, the image analysis module includes a human motion analysis unit and a smoke analysis unit.

[0025] A human motion analysis unit, used to analyze the activity types of people in the dormitory based on the images of their activities;

[0026] The smoke analysis unit is used to analyze the shape and source of smoke based on environmental image information.

[0027] The beneficial effects of the basic solution are: 1. The human motion analysis unit uses deep learning algorithms to efficiently analyze images of people's activities and can accurately identify the types of activities of people in the dormitory, such as studying, resting, exercising, cooking, etc. This precise recognition capability not only helps the system to more accurately assess the safety and health of the dormitory environment, but also provides valuable behavioral data for managers so that they can better understand the living habits and needs of residents.

[0028] 2. The smoke analysis unit can quickly analyze the shape and source of smoke based on environmental image information, which is crucial for timely detection of fire hazards. In the early stages of a fire, smoke is often the first phenomenon to appear. Through real-time monitoring by the smoke analysis unit, the system can issue an early warning before a fire occurs, providing residents and managers with valuable escape and rescue time.

[0029] 3. The image analysis module can monitor abnormal behaviors and safety hazards in the dormitory in real time through human motion analysis and smoke analysis. For example, when it detects someone smoking in the dormitory or doing other behaviors that may cause a fire, the system can immediately issue an early warning to remind the occupants to stop the dangerous behavior. This real-time monitoring and early warning mechanism greatly improves the safety of the dormitory environment.

[0030] 4. Through the image analysis module, the system can automatically identify the activity type and number of people in the dormitory, so as to allocate and manage resources more reasonably. For example, during periods of dense crowds or frequent activities, the system can automatically adjust the operation mode and wind speed of the air purification equipment to better meet the air quality requirements in the dormitory. This intelligent resource allocation method not only improves resource utilization efficiency, but also reduces operating costs.

[0031] 5. The real-time monitoring and early warning functions of the image analysis module can significantly enhance the sense of security and trust of residents. Residents can live in the dormitory with greater peace of mind because they know that the system is always protecting their safety. This increase in sense of security and trust helps to enhance the satisfaction and happiness of residents and promote the harmony and stability of the dormitory community.

[0032] Furthermore, the reporting module includes a remote reporting terminal, a dormitory broadcasting speaker and an emergency alarm unit.

[0033] Remote reporting terminal, used to remotely report the evaluation results in the dormitory to the dormitory contact person and school management department, and to perform remote operations on the contact person and school management department;

[0034] The dormitory broadcasting sound system is used to alert people inside and outside the dormitory of possible dangerous situations;

[0035] Emergency alarm unit, used to automatically alarm in emergency situations.

[0036] The beneficial effects of the basic solution are: 1. The remote reporting terminal can quickly convey the evaluation results in the dormitory to the dormitory contact person and the school management department, ensuring the timeliness and accuracy of the information. This not only helps the management staff to understand the dormitory environment in a timely manner, but also allows remote operations when necessary, such as adjusting the air purification equipment, activating emergency plans, etc., so as to effectively respond to various emergencies.

[0037] 2. The dormitory announcement speakers can immediately send voice reminders to people inside and outside the dormitory when potential dangers or abnormal situations are detected, such as poor air quality, excessive smoke concentration, etc. This instant voice reminder can quickly attract the attention of people, enhance their safety awareness, and prompt them to take necessary protective measures or evacuate.

[0038] 3. The emergency alarm unit can automatically trigger the alarm system in an emergency and send an emergency signal to the school security department or fire department. This helps the relevant departments to quickly understand the emergency situation in the dormitory and dispatch rescue forces for rescue. In emergency events such as fire and gas leaks, this rapid response and rescue mechanism is crucial to protecting the lives of people.

[0039] 4. The reporting module not only has instant messaging and emergency alarm functions, but also provides data support for dormitory environment management. Through the remote reporting terminal, managers can obtain dormitory environment assessment results in real time, so as to formulate management strategies more scientifically, optimize resource allocation, and improve the efficiency and effectiveness of dormitory environment management.

[0040] 5. The instant messaging, voice reminder and emergency alarm functions of the reporting module can significantly improve residents' satisfaction and sense of security. Residents can live in the dormitory with greater peace of mind, because they know that in an emergency, the system can quickly issue an early warning and provide necessary help. This increase in sense of security and trust helps to enhance residents' sense of belonging and happiness, and promotes harmony and stability in the dormitory community.

[0041] Furthermore, the purification module includes a ventilation unit and an air purification unit.

[0042] A ventilation unit for ventilating the dormitory when the indoor air quality is worse than the outdoor air quality;

[0043] An air purification unit is used to purify the air in the dormitory.

[0044] The beneficial effects of the basic solution are: 1. The ventilation unit can intelligently judge the quality of indoor and outdoor air, and automatically open when the indoor air quality is poor to provide fresh air to the dormitory. This intelligent ventilation mechanism helps to reduce the concentration of pollutants in the dormitory, such as harmful gases such as carbon dioxide and formaldehyde, as well as allergens such as dust and pollen, thereby significantly improving the air quality of the dormitory.

[0045] 2. The air purification unit uses advanced air purification technology, such as HEPA high-efficiency filter, activated carbon adsorption layer, etc., which can effectively remove particulate matter, bacteria, viruses and other harmful substances in the air in the dormitory. This not only helps to improve the living environment of the dormitory, but also effectively prevents the occurrence of respiratory diseases and allergic reactions.

[0046] 3. The purification module can automatically adjust the working mode according to the air quality in the dormitory through intelligent control of the operation of ventilation and air purification units, thereby achieving energy-saving effects. At the same time, the use of efficient air purification technology and materials reduces energy consumption and waste emissions, in line with the concept of green environmental protection.

[0047] Furthermore, the air quality collection unit includes several air quality sensors capable of detecting temperature, humidity, air pressure, PM2.5, oxygen, carbon dioxide, carbon monoxide and formaldehyde.

[0048] The beneficial effects of the basic solution are: 1. The air quality collection unit can comprehensively and accurately monitor the air quality indicators in the dormitory by integrating multiple air quality sensors, including but not limited to temperature, humidity, air pressure, PM2.5, oxygen content, carbon dioxide concentration, carbon monoxide concentration and formaldehyde content. This comprehensive monitoring helps to timely discover and solve potential air quality problems, providing residents with a healthier and more comfortable living environment.

[0049] 2. The air quality collection unit can monitor the content of harmful substances in the air in real time, such as PM2.5, carbon monoxide and formaldehyde. When the concentration of these harmful substances exceeds the preset safety threshold, the system will immediately issue an early warning and take necessary measures, such as turning on air purification equipment, ventilation, etc., to effectively avoid the harm of air pollution to human health. This timely early warning mechanism improves the accuracy and reliability of the dormitory environmental pollution monitoring and early warning system.

[0050] 3. The data collected by the air quality collection unit can not only be used for real-time monitoring and early warning, but also as a basis for intelligent decision-making and regulation. For example, the system can intelligently adjust the operating status of the air purification equipment and ventilation system according to the monitored air quality data to achieve the best air purification effect. This intelligent control method helps to reduce energy consumption and operating costs and improve the efficiency and effectiveness of dormitory environment management.

[0051] Furthermore, the water collection unit includes an ultrasonic water meter that can detect the depth and area of ​​water stains on the dormitory floor.

[0052] The beneficial effects of the basic solution are: 1. The water collection unit can monitor the water accumulation on the dormitory floor in real time. Once the water accumulation exceeds the preset threshold, the early warning mechanism can be triggered immediately. This real-time monitoring and early warning helps to timely discover and deal with water accumulation problems, prevent further spread of water accumulation, and avoid possible damage.

[0053] 2. Through the monitoring data of the water collection unit, managers can promptly discover problems in the dormitory environment, such as poor drainage and ground leakage. If these problems are not dealt with in a timely manner, they may lead to more serious water accumulation problems and even affect the structural safety of the dormitory. Therefore, the monitoring data of the water collection unit helps to optimize the dormitory environment management and improve the living safety and comfort of the dormitory.

[0054] 3. Waterlogging can easily breed bacteria, mold and other harmful substances, posing a threat to the health of residents. Through real-time monitoring and early warning of waterlogging collection units, waterlogging problems can be discovered and dealt with in a timely manner, thereby reducing the health risks of residents caused by waterlogging.

[0055] Furthermore, the human motion analysis unit includes human motion detection and video motion classification.

[0056] Human motion detection, used to detect the human body and target objects, and determine the type of human motion;

[0057] Video action classification is used to detect multi-person collaborative actions and determine the action type in multi-person scenes.

[0058] The benefits of the basic solution are: 1. Human motion detection can accurately identify the human body and target objects in the video or image, and accurately determine the type of human motion. This accuracy is essential for understanding human behavior, analyzing human posture, and identifying specific motion patterns. Human motion detection systems are usually real-time, able to process videos or images in a short time and quickly give detection results. This high efficiency enables the system to respond quickly in practical applications and provide useful information in a timely manner.

[0059] 2. Video action classification can detect and identify multi-person coordinated actions, which is important for understanding multi-person interactive behaviors in complex scenes. For example, in sports competitions, the system can automatically identify the coordinated actions of athletes and analyze and evaluate them. Video action classification can accurately determine the types of actions in multi-person scenes, such as running, jumping, fighting, etc. This classification capability helps to understand and analyze video content and extract useful information.

[0060] Furthermore, the smoke analysis unit includes color model analysis and smoke feature analysis.

[0061] Color model analysis is used to determine the scale of smoke based on the smoke color blocks in the environment image;

[0062] Smoke feature analysis is used to determine the cause of smoke generation based on the smoke color blocks, smoke origin color blocks and personnel action types in the environmental image.

[0063] The beneficial effects of the basic scheme are: 1. Color model analysis can quickly determine the scale of smoke by identifying smoke blocks in environmental images. This is of great significance for taking timely countermeasures and preventing the spread of smoke. For example, in a fire warning system, color model analysis can quickly identify the spread trend of smoke, thereby triggering the alarm mechanism in time. The color characteristics of smoke are usually between white and gray and black and gray. Color model analysis can accurately capture these color characteristics and judge the presence of smoke based on them. This color feature-based analysis method is more accurate and reliable than traditional shape or texture-based analysis methods. Color model analysis is not affected by factors such as smoke shape and texture, and can be applied to smoke monitoring in different scenarios. Whether indoors or outdoors, whether static images or dynamic videos, color model analysis can play a good role.

[0064] 2. Smoke feature analysis not only focuses on the smoke color block itself, but also combines information such as the smoke point color block and the type of personnel action to comprehensively determine the cause of smoke generation. This analysis method can provide more comprehensive and accurate smoke information, which helps managers take timely measures to eliminate safety hazards. In emergency situations such as fires and explosions, smoke feature analysis can quickly determine the source and nature of smoke, providing key information for emergency management departments.

[0065] 3. The smoke analysis unit realizes comprehensive monitoring and early warning of smoke through the combination of color model analysis and smoke feature analysis. This comprehensive analysis method can provide more accurate and comprehensive smoke information, which helps managers take timely measures to eliminate safety hazards.

[0066] Furthermore, the remote reporting terminal includes a contact reporting terminal and an on-campus security terminal.

[0067] Contact reporting terminal, used to push dormitory conditions and evaluation results to the dormitory contact's mobile phone, and the dormitory contact can operate the dormitory detection and early warning system through the mobile phone;

[0068] On-campus safety terminal, used to report emergency assessment results to school management.

[0069] The beneficial effects of the basic solution are: 1. The contact reporting terminal can instantly push the dormitory situation and evaluation results to the mobile phone of the dormitory contact to ensure the timely delivery of information. This instant messaging mechanism helps the dormitory contact to quickly understand the safety situation in the dormitory and make corresponding decisions. Through the contact reporting terminal, the dormitory contact can understand the safety situation of the dormitory in real time and enhance the transparency of dormitory management. This helps to improve the quality and efficiency of dormitory management, and also helps to build trust and cooperation among dormitory members.

[0070] 2. The on-campus safety terminal can quickly report the emergency assessment results to the school management department, ensuring that the school obtains emergency situations in the dormitory at the first time. This rapid response mechanism helps the school to launch emergency plans in a timely manner, take effective measures and reduce losses. Through the on-campus safety terminal, the school can fully understand the safety conditions in the dormitory, and promptly discover and deal with potential safety hazards. This helps to improve the overall safety management level of the campus and protect the lives and property of teachers and students. The establishment of the on-campus safety terminal strengthens the communication and cooperation between the school and the dormitory contact. In an emergency, the school can maintain close contact with the dormitory contact through the on-campus safety terminal to jointly respond to challenges and ensure the safety of dormitory members. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] Figure 1 Schematic diagram of a dormitory environmental pollution monitoring and early warning system based on artificial intelligence technology in an embodiment of the present invention.

[0072] Figure 2 Schematic diagram of an environmental information collection module in an embodiment of the present invention.

[0073] Figure 3 Schematic diagram of an image analysis module in an embodiment of the present invention.

[0074] Figure 4Schematic diagram of a reporting module in an embodiment of the present invention.

[0075] Figure 5 Schematic diagram of a purification module in an embodiment of the present invention. DETAILED DESCRIPTION

[0076] The following is further described in detail through specific implementation methods:

[0077] Example 1

[0078] Basically as attached Figure 1 , Figure 2 , Figure 3 , Figure 4 and Figure 5 Shown: A dormitory environmental pollution monitoring and early warning system based on artificial intelligence technology, including an environmental information collection module, an image analysis module, an evaluation module, a reporting module and a purification module.

[0079] The environmental information collection module is used to collect dormitory environmental information, human activity images and environmental images. The environmental information collection module includes an air quality collection unit, which is used to collect air quality information inside and outside the dormitory. The air quality collection unit includes several air quality sensors that can detect temperature, humidity, air pressure, PM2.5, oxygen, carbon dioxide, carbon monoxide and formaldehyde; a water accumulation collection unit, which is used to collect water accumulation information on the dormitory floor. The water accumulation collection unit includes an ultrasonic water accumulation meter that can detect the depth and area of ​​water stains on the dormitory floor; a camera, which is used to shoot dormitory interior scenes, human activities and environmental image information from different angles.

[0080] The image analysis module is used to analyze the images of personnel activities and environmental images and identify the types of personnel activities. The image analysis module includes a human motion analysis unit, which is used to analyze the types of personnel activities in the dormitory based on the images of personnel activities. The human motion analysis unit includes human motion detection, which is used to detect the human body and the target object and judge the type of human motion. Video motion classification is used to detect the collaborative motion of multiple people and judge the motion type of multiple people scenes. The smoke analysis unit is used to analyze the shape and source of smoke based on environmental image information. The smoke analysis unit includes color model analysis, which is used to judge the scale of smoke based on the smoke color blocks in the environmental image, and smoke feature analysis, which is used to judge the cause of smoke generation based on the smoke color blocks, smoke starting point color blocks and personnel motion types in the environmental image.

[0081] The evaluation module is used to evaluate the types of events that occur in the dormitory based on the analysis results of environmental information and personnel activity types, and obtain evaluation results and emergency evaluation results.

[0082] The reporting module is used to remotely report the evaluation results obtained by the evaluation module to the dormitory contact person and make voice reminders in the dormitory. The reporting module includes a remote reporting terminal, which is used to remotely report the evaluation results in the dormitory to the dormitory contact person and the school management department, and remotely operate the contact person and the school management department. The remote reporting terminal includes a contact reporting terminal, which is used to push the dormitory situation and evaluation results to the dormitory contact person's mobile phone. The dormitory contact person can operate the dormitory detection and early warning system through the mobile phone. The campus safety terminal is used to report the emergency evaluation results to the school management department; the dormitory broadcast audio is used to remind people inside and outside the dormitory of possible dangerous situations; the emergency alarm unit is used to automatically alarm in an emergency.

[0083] The purification module is used to purify the ambient air quality in the dormitory according to the evaluation results obtained by the evaluation module. The purification module includes a ventilation unit, which is used to ventilate the dormitory when the indoor air quality is worse than the outdoor air quality; and an air purification unit, which is used to purify the air in the dormitory.

[0084] The specific implementation process is as follows: the present invention mainly uses the air quality collection unit in the environmental information collection module, that is, the air quality sensor to monitor the indoor and outdoor air quality in real time and continuously, uses the water accumulation collection unit, that is, the ultrasonic water accumulation meter to monitor the water accumulation in the dormitory, especially on the balcony, and uses a camera to capture the dormitory environment and personnel movement images. The automated and intelligent monitoring method not only greatly improves the monitoring efficiency, but also reduces human errors and improves the accuracy and reliability of the data.

[0085] Based on the above data, first of all, the function of monitoring harmful components in the air as a common air quality monitoring instrument can be achieved, as well as monitoring the water accumulation on the floor of the dormitory. In addition, the image data is transmitted to the image analysis module. The human motion analysis unit of the image analysis module analyzes the human motion and surrounding objects in the image to determine the action type of a single person, such as smoking, lying down, and making a phone call, etc. The video action classification analyzes the types of multi-person interactive actions based on continuous multi-person collaborative actions in the video, such as fighting and clinking glasses, etc. The smoke analysis unit uses the color module to analyze the diffusion scale and direction of the gray color blocks of the smoke based on the smoke appearing in the image, and determines the scale of the smoke. The smoke characteristics are used to analyze the origin of the smoke color block and the color block of the smoke starting point. This analysis mechanism greatly improves the accuracy of the monitoring and early warning system, and can also ensure the safety of the dormitory environment.

[0086] Then, the evaluation module evaluates the reasons for the decline in dormitory air quality, such as smoking, winter haze, etc., based on the sensor data and the results of the image analysis module, and evaluates the causes and scale of smoke generation, such as boiling water in the dormitory, bed fire, etc., and evaluates the situation and causes of water accumulation in the dormitory, such as broken pipes, spilled laundry, and waterlogging in the rainy season. Based on the premise that the decline in air quality does not involve dangerous reasons, the purification module turns on the ventilation unit or air purification unit according to the cause category. For example, if someone is smoking, turning on the ventilation unit can quickly eliminate secondhand smoke. In the case of winter haze, indoor air purification is required. The intelligent resource allocation method not only improves the utilization efficiency of resources, but also reduces operating costs.

[0087] At the same time, the remote reporting terminal of the reporting module pushes the air quality detection information and water accumulation detection information to the mobile phone of the dormitory contact and the terminal of the school management department, so that the dormitory contact and the school dormitory management personnel can check it at any time to ensure the life and health of the dormitory contact. When a more urgent assessment result appears, such as the bed being ignited, the assessment result will not only be pushed through the remote reporting terminal, but also the broadcast voice of the dormitory speaker will remind the people near the dormitory to deal with the emergency in time or flee as soon as possible to avoid further expansion of the situation and buy time for people to escape. Once the scale of the disaster expands and the assessment module assessment contact is difficult to handle it by himself, the reporting module will directly contact the fire, police or emergency while making the above report to buy time to extinguish the disaster and reduce the personal and property losses of the dormitory contact.

[0088] Many times, there are smokers and non-smokers in the same dormitory. Non-smoking roommates do not want to breathe secondhand smoke and may often quarrel with smoking roommates. Smoking roommates are also unhappy when they push in and out of the dormitory to smoke. In this case, when the smoking roommate is smoking in the dormitory and the non-smoking roommate is about to return to the dormitory, the air quality acquisition unit data is combined with the analysis results of the image analysis module to analyze that someone is smoking in the dormitory. At this time, the non-smoking roommate can view the air quality data of the dormitory at this moment and the evaluation results of someone smoking through the contact report terminal in the remote reporting terminal before returning, and remotely control the broadcast sound in the reporting module to remind the smoking roommate in the dormitory that he is about to return to the dormitory, please don't smoke. At the same time, the ventilation module in the purification module can be remotely opened or automatically opened to eliminate secondhand smoke in time, avoid the continuous spread of secondhand smoke in the dormitory, reduce the possibility of quarrels between roommates in the dormitory, and enhance the cohesion in the dormitory.

[0089] In addition, many people may have to get up at night. If there is water on the ground at this time, it is likely to cause slipping and danger. When the ultrasonic water accumulation meter detects water on a piece of ground, combined with the analysis of human movement in the image analysis module, the reporting module reminds people to pay attention to safety through the broadcast sound in the dormitory to avoid the possibility of accidents caused by slipping.

[0090] If a fire occurs when no one is in the dormitory, the human motion analysis unit in the image analysis module first analyzes whether there is a human body and whether the flame is man-made. The color model analysis in the smoke analysis module analyzes the scale of the fire based on the flame color block and the smoke gray color block. The smoke characteristics analyze the ignition point of the flame, the cause of the fire, etc. The reporting module reports the fire assessment results to the remote reporting terminal and broadcasts it through the voice broadcast speaker in the dormitory to attract the attention of people near the dormitory to come and put out the fire. If the fire is large, the fire will be reported directly through the emergency alarm unit, which will help relevant departments to quickly understand the emergency situation in the dormitory and dispatch rescue forces for rescue, thereby buying precious time for fire fighting and disaster relief and protecting the lives and property of people.

[0091] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0092] The above is only an embodiment of the present invention. The common sense such as the known specific structure and characteristics in the scheme is not described in detail here. The ordinary technicians in the relevant field know all the common technical knowledge in the technical field of the invention before the application date or priority date, can obtain all the existing technologies in the field, and have the ability to apply the conventional experimental means before that date. The ordinary technicians in the relevant field can improve and implement this scheme in combination with their own abilities under the enlightenment given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the relevant field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can be made, which should also be regarded as the protection scope of the present invention, which will not affect the effect of the implementation of the present invention and the practicality of the patent. The protection scope required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. A dormitory environmental pollution monitoring and early warning system based on artificial intelligence technology, characterized by: It includes environmental information acquisition module, image analysis module, evaluation module, reporting module and purification module. Environmental information collection module, used to collect dormitory environmental information, human activity images and environmental images; An image analysis module is used to analyze images of personnel activities and environmental images and identify the types of personnel activities; An evaluation module is used to evaluate the types of events that occurred in the dormitory based on the analysis results of environmental information and personnel activity types, and obtain evaluation results and emergency evaluation results; The reporting module is used to remotely report the evaluation results obtained by the evaluation module to the dormitory contact person and make voice reminders in the dormitory; The purification module is used to purify the ambient air quality in the dormitory according to the evaluation results obtained by the evaluation module.

2. The dormitory environment pollution monitoring and early warning system based on artificial intelligence technology according to claim 1 is characterized by: The environmental information collection module includes an air quality collection unit, a water accumulation collection unit and several cameras. An air quality collection unit, used to collect air quality information inside and outside the dormitory; A water accumulation collection unit is used to collect water accumulation information on the dormitory floor; The camera is used to capture dormitory interior scenes, personnel activities and environmental image information from different angles.

3. The dormitory environment pollution monitoring and early warning system based on artificial intelligence technology according to claim 1 is characterized by: The image analysis module includes a human motion analysis unit and a smoke analysis unit. A human motion analysis unit, used to analyze the activity types of people in the dormitory based on the images of their activities; The smoke analysis unit is used to analyze the shape and source of smoke based on environmental image information.

4. The dormitory environment pollution monitoring and early warning system based on artificial intelligence technology according to claim 1 is characterized by: The reporting module includes a remote reporting terminal, a dormitory broadcasting speaker and an emergency alarm unit. Remote reporting terminal, used to remotely report the evaluation results in the dormitory to the dormitory contact person and school management department, and to perform remote operations on the contact person and school management department; The dormitory broadcasting sound system is used to alert people inside and outside the dormitory of possible dangerous situations; Emergency alarm unit, used to automatically alarm in emergency situations.

5. The dormitory environment pollution monitoring and early warning system based on artificial intelligence technology according to claim 1 is characterized by: The purification module includes a ventilation unit and an air purification unit. A ventilation unit for ventilating the dormitory when the indoor air quality is worse than the outdoor air quality; An air purification unit is used to purify the air in the dormitory.

6. The dormitory environment pollution monitoring and early warning system based on artificial intelligence technology according to claim 2 is characterized by: The air quality collection unit includes several air quality sensors that can detect temperature, humidity, air pressure, PM2.5, oxygen, carbon dioxide, carbon monoxide and formaldehyde.

7. The dormitory environment pollution monitoring and early warning system based on artificial intelligence technology according to claim 2 is characterized by: The water collection unit includes an ultrasonic water meter that can detect the depth and area of ​​water stains on the dormitory floor.

8. The dormitory environment pollution monitoring and early warning system based on artificial intelligence technology according to claim 3 is characterized by: The human motion analysis unit includes human motion detection and video motion classification. Human motion detection, used to detect the human body and target objects, and determine the type of human motion; Video action classification is used to detect multi-person collaborative actions and determine the action type in multi-person scenes.

9. The dormitory environment pollution monitoring and early warning system based on artificial intelligence technology according to claim 3 is characterized by: The analysis unit includes color model analysis and smoke feature analysis. Color model analysis is used to determine the scale of smoke based on the smoke color blocks in the environment image; smoke Feature analysis is used to determine the cause of smoke generation based on the smoke color blocks, smoke origin color blocks and personnel action types in the environmental image.

10. The dormitory environment pollution monitoring and early warning system based on artificial intelligence technology according to claim 4 is characterized by: Remote reporting terminals include contact reporting terminals and campus security terminals. Contact reporting terminal, used to push dormitory conditions and evaluation results to the dormitory contact's mobile phone, and the dormitory contact can operate the dormitory detection and early warning system through the mobile phone; On-campus safety terminal, used to report emergency assessment results to school management.

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