105 results about "Residence hall" patented technology

The invention discloses an intelligent environment monitoring system based on image analysis, and belongs to the technical field of intelligent environment monitoring systems. Comprising the steps of collecting dormitory environment data, collecting the sanitation condition and light-out state data of a dormitory, performing preprocessing such as transcoding and cutting on the dormitory environment data, establishing a dormitory environment model by utilizing the dormitory environment data, evaluating the trained model by utilizing a part of reserved dormitory environment data, and performing adjustment according to a result. A trained model which is qualified in evaluation is deployed in actual monitoring, further movement approaching is carried out according to a feedback result, through establishment of a dormitory environment model, in the monitoring process, uncertain factors can be predicted according to a monitoring result, so that the position of a camera is adjusted again for determination, the monitoring effect is improved, and the user experience is improved. And meanwhile, repeated monitoring of the determined area can be reduced, unnecessary movement is reduced, and the monitoring efficiency is improved.

The utility model relates to the technical field of dormitory beds, and discloses an upper-bed lower-desk type dormitory bed which comprises a bed body and a desk body, a first supporting frame is arranged on the inner side of the bed body, a second supporting frame is arranged on the outer side of the bed body, a first desk plate is rotatably connected to the top of the first supporting frame, a second desk plate is rotatably connected to the top of the second supporting frame, and a first bayonet part is arranged on the first desk plate. A first bayonet part is arranged on the first table board, a second bayonet part is arranged on the second table board, a locking assembly is arranged between the first table board and the second table board and comprises a first fixing ring, a second fixing ring and a locking rod, the first fixing ring is fixed to the side wall of the first table board, the second fixing ring is fixed to the side wall of the second table board, and the axis of the locking rod is parallel to the width direction of the bed body; the locking rod sequentially penetrates through the first fixing ring and the second fixing ring. The foldable desk plate has the advantages that the foldable desk plate is simple to operate and convenient to use, the first supporting frame and the second supporting frame both have an unfolded state and a folded state, the unfolded and spliced desk plate body is high in stability, and daily life of students is not affected after the foldable desk plate is folded.

The invention relates to a dormitory building indoor environment optimization method and system based on deep reinforcement learning combination, and the method employs a pre-trained deep reinforcement learning model for dormitory building indoor environment optimization. Building design parameters and a layout matrix of the indoor environment of the dormitory building are set as the state of the deep reinforcement learning model, adjustment of the building design parameters is set as the action of the deep reinforcement learning model, and rewards of the deep reinforcement learning model comprise indoor average wind speed rewards and average effective daily illuminance rewards; the system is used for implementing the method. Compared with the prior art, the method has the advantages of good optimization effect, high optimization efficiency and the like.

According to the sofa with the foldable backrest, two first empty grooves are symmetrically formed in the two sides of a sofa body, positioning seats are fixedly arranged in the first empty grooves, a plurality of second through holes are formed in the peripheral sides of the positioning seats, and the backrest is placed at the rear end of the sofa body; a positioning shaft inserted into the first empty groove is fixedly arranged at the bottom end of the backrest, when the backrest is not used, the backrest can be folded and placed above the sofa body, the space is greatly saved, the sofa is particularly suitable for living environments with limited space, such as small apartments, dormitories and the like, and when a rest is not needed in the daytime, the backrest can be folded, so that the space is saved; more activity space is vacated for a living room or a room; when a user needs to have a rest at night, the backrest can be quickly unfolded, the normal use function of the sofa is recovered, and the requirements for space in different scenes are met.

The application provides a student dormitory management system, method and computer storage medium, wherein the system comprises a wireless audio device installed in each dormitory, a central receiving device responsible for forwarding information for the wireless audio device of each dormitory building, a cloud device in wireless communication connection with the central receiving device, and a user device running a student dormitory management application. The student dormitory management system provided by the application can realize precise management of the dormitory through remote information sending or shouting in the case of excessive noise in the dormitory, without investing a large amount of human resources for dormitory patrol, which is beneficial to improving the dormitory management efficiency. In the information transmission, compression coding is adopted to reduce the data size, and forward error correction coding is performed on the compressed digital signal, which is beneficial to improving the anti-interference ability of the signal in the transmission process and reducing the possibility of packet loss, so as to realize the ultra-long distance transmission of information.

1. Name of the designed product: desk (Xiu De). 2. Use of the designed product: desk for school classroom and dormitory. 3. Design points of the designed product: the design points of the designed product lie in the overall shape of the desk. 4. Picture or photo showing the design points most: perspective view 1.

The application relates to a dormitory building indoor environment optimization method and system based on deep reinforcement learning combination, wherein the method uses a pre-trained deep reinforcement learning model to optimize the indoor environment of the dormitory building; the building design parameters and the layout matrix of the indoor environment of the dormitory building are set as the state of the deep reinforcement learning model, the adjustment of the building design parameters is set as the action of the deep reinforcement learning model, and the reward of the deep reinforcement learning model includes an indoor average wind speed reward and an average effective daylight illuminance reward; and the system is used for realizing the above method. Compared with the prior art, the application has the advantages of good optimization effect and high optimization efficiency.

The invention provides a campus personnel access management system, which is characterized by comprising an intelligent access control module, a time recording and analyzing module, a display module, a display module and a display module, wherein the intelligent access control module is used for installing intelligent access control equipment at the entrance of a dormitory, and the time recording and analyzing module adopts various recognition modes such as face recognition and campus card recognition; comprising date, specific time point and other information; the data management and processing module is used for carrying out unified management on access records of the students, and managers can inquire information such as access history and the number of times that the students do not go to the boarding at night of the specific students through a system interface; the early warning module is used for automatically sending an early warning notification to a dormitory administrator, a tutor and other related personnel when the system detects that the student does not go to the dormitory at night or goes back at night; and the mobile terminal application module develops a mobile phone application program, so that the students can check own access records through mobile phones, and managers such as dormitory administrators and counselers can also inquire the access conditions of the students anytime and anywhere through the mobile terminal, and deal with abnormal conditions in time.

The utility model discloses a guardianship dormitory unit plane structure which comprises a guardianship area and a guarded rest area which are adjacent to each other, and the guarded rest area comprises a first guarded rest area and a second guarded rest area. The monitoring room is adjacent to and communicated with the first monitored rest area and the second monitored rest area, the first sanitary shower area and the second sanitary shower area are opposite to the monitoring room, and a first transparent partition wall is arranged between the monitoring room and the first monitored rest area and between the monitoring room and the second monitored rest area. A second transparent partition wall and a third transparent partition wall are respectively arranged between the monitoring room and the first sanitary shower area and between the monitoring room and the second sanitary shower area; triangular sight spaces are respectively arranged among the monitoring room, the first monitored rest area and the first sanitary shower area as well as among the monitoring room, the second monitored rest area and the second sanitary shower area. According to the utility model, the accommodation requirement of centralized arrangement and management according to classes can be met, and an accommodation space without a blind area of monitoring sight can be constructed.

The invention discloses a dormitory dynamic allocation and management method and system based on a large model, and relates to the technical field of dormitory management, and the method comprises the steps: carrying out the unified registration and maintenance of dormitory building, room and bed information, and completing the management of house resource basic information; basic information, work and rest rules, social preferences and learning behaviors of students are collected, and student feature portraits are constructed through data preprocessing, data integration and feature extraction; a dormitory optimal allocation scheme is automatically generated by comprehensively applying a large language model based on a Transform architecture, a multi-modal AI analysis technology and a multi-target optimization algorithm based on house resource basic information and student feature portraits; three modes of applying for dormitory adjustment by students, batch adjustment by an administrator and automatic recommendation of dormitory adjustment are provided, and adjustment of an optimal dormitory allocation scheme is supported; dormitory management is realized by implementing dormitory daily management, maintenance service management, management data analysis and decision support. The method is used for dynamically optimizing dormitory resource allocation and improving dormitory management efficiency.

1. The name of the design product: adapter (edge). 2. The use of the design product: connecting accessories for desks and chairs used in classrooms and apartment bed adapters used in student dormitories. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: Design 1 perspective view 1. 5. Design 1 is designated as the basic design.

The invention discloses an intelligent campus electronic class board system and method based on multi-source information perception, and belongs to the technical field of intelligent campus multi-source data fusion. The system comprises a multi-scene electronic class board terminal, an environment sensing module, a power supply control module and a server platform, wherein the electronic class board terminal integrates three core units of face recognition, expression analysis and Internet of Things communication; through cross-scene deployment of a terminal, student identity data, expression data, campus environment data and dormitory power consumption data are synchronously collected and uploaded to a server platform for multi-source data fusion analysis, a comprehensive management report is generated, and personalized pushing and safety linkage response are triggered. According to the invention, an electronic class board is upgraded from a passive information display to an active smart sensing hub, full-cycle sensing of learning, life and psychological states of students and closed-loop management and control of campus safety are realized, the defects of data splitting and safety management and control deficiency in the prior art are overcome, and the system can be widely applied to smart campus construction of middle and primary schools and institutions of higher learning.

The invention provides a control method and system for an intelligent extension socket of a student dormitory. According to the technical scheme, the control method comprises the steps that the intelligent extension socket is deployed and installed, user terminal equipment is bound, and a power supply supervision background of the dormitory building is connected; setting a power supply control rule based on the hardware function of the intelligent power strip; based on the power supply control rule, establishing a power utilization habit model of the user; based on the power utilization habit model of the user, setting parameters of a power supply control rule are adjusted; acquiring detection information data at the current sampling moment, calculating an abnormal risk value and judging a risk level; in response to a judgment result of the risk level, triggering an abnormal alarm of a corresponding level based on a power supply control rule; according to the invention, the power supply on-off of the university dormitory can be flexibly controlled, the potential safety hazard of electricity utilization when nobody is in the dormitory is avoided, alarm reminding is carried out in time when electricity utilization is abnormal, the electricity utilization safety of the university dormitory is ensured, and the learning life of a user is facilitated.

This invention discloses a prefabricated dormitory building structure with ultra-narrow flange box-shaped irregular columns, belonging to the field of dormitory structure technology. The structure includes steel box-shaped irregular columns, steel beams, walls, and concrete floor slabs. The steel box-shaped irregular column includes a first double web, a second web, a first flange, and a second flange; the first double web is arranged in parallel intervals, with one end vertically connected to the middle of the side of the second web, and the other end connected to the first flange; the second flange connects to both ends of the second web. This invention, through a T-shaped double web layout combined with an ultra-narrow flange design, allows the column to be completely hidden inside the wall, solving the problem of protruding columns in the room, significantly improving the space utilization and aesthetics of the dormitory, and providing structural stability, facilitating industrial prefabrication and rapid on-site assembly.

The invention relates to the technical field of special dormitory beds, and discloses a multifunctional high-safety special dormitory bed which comprises a bed frame body, the bed frame body is composed of bed frame columns distributed at four corners, a bed board frame is installed on the bed frame columns, bed guardrails are arranged at the edges of the bed board frame, and a ladder stand is arranged on the front face of the bed board frame; the integrated storage unit is fixed to the lower portion of the bed frame body and comprises a cabinet body, a cabinet door is slidably connected to the front face of the cabinet body, and an intelligent cabinet lock is arranged between the cabinet door and the cabinet body. The integrated storage unit is arranged, so that sufficient storage space is provided, the safety of article storage is improved through the intelligent cabinet lock, and personal articles are prevented from being lost. Meanwhile, due to the design of the foldable desk mechanism, the desk can be flexibly unfolded or folded according to needs, the space is greatly saved, the dormitory layout is more reasonable, and the overall utilization rate of the dormitory space is improved.

The invention discloses an energy consumption detection system based on a smart campus, and relates to the technical field of energy consumption monitoring and adjustment, and the system comprises a data collection module which is used for obtaining curriculum schedule data from an educational administration system, obtaining a work and rest time table from a dormitory management system, and collecting the water and electricity energy consumption data of each region in real time; the dynamic reference generation module is used for associating reference energy consumption according to a course type and dynamically correcting a reference value based on an inter-class rest period and a light-off period in a work and rest time table; the anomaly detection module is used for calculating the deviation between the actual energy consumption and the corrected reference value, and generating a grading alarm signal when the deviation exceeds a threshold value; and the control execution module responds to the alarm signal to execute equipment linkage control. Therefore, the monitoring real-time performance can be improved, the prediction precision can be improved, and the operation and maintenance cost can be reduced.

The embodiment of the invention relates to the field of dormitory management, and discloses an intelligent room distribution method, device and equipment and a storage medium, and the method comprises the steps: building a generator used for dormitory distribution in a generative adversarial network, generating a dormitory distribution scheme based on the personal file of each user, and using the trained discriminator to discriminate whether the currently generated dormitory allocation scheme meets the requirements of the optimal dormitory allocation scheme, and if the currently generated dormitory allocation scheme meets the requirements of the optimal dormitory allocation scheme, outputting the current dormitory allocation scheme to complete dormitory allocation. According to the invention, residents with similar living habits and hobbies are arranged together, so that friction of the residents in daily life is reduced.

1. The name of the product of this design: dormitory bed (2). 2. Purpose of the product of this design: furniture. 3. The design key point of this appearance design product lies in the shape. 4. The picture or photo that best illustrates the design points: Stereoscopic diagram 1.

1. Name of the product of this design: dormitory bed (1). 2. Purpose of the product of this design: furniture. 3. The design key point of this appearance design product lies in the shape. 4. The picture or photo that best illustrates the design points: Stereoscopic diagram 1.

This invention relates to the field of gateway access and discloses a gateway access system and method for smart door locks in campus dormitories. The system includes: continuously scanning the entry area by deploying multi-source sensing units to generate an event priority queue; triggering a multi-person joint identity verification process based on events in the event priority queue whose risk levels meet preset conditions, generating a joint risk probability distribution matrix; uploading the matrix to the dormitory building gateway, and forming a candidate protection event set by combining the operating status and time node characteristics of the door lock node and monitoring node; generating door lock control commands based on the candidate protection event set and the corresponding time node joint risk probabilities through a door lock dynamic access control mechanism and a multi-level policy mapping algorithm; and forming a protection policy set by combining the risk changes of the candidate protection event set at different time nodes and updating protection parameters, sensing frame rate, and multi-factor verification rules through algorithms. This invention has the advantage of improving security.

1. The name of the design product: dormitory computer desk. 2. The use of the design product: for placing articles on the bed in dormitory. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view.

This application relates to the field of fire early warning technology, and in particular to an intelligent fire early warning method and device for student dormitories. The method includes: collecting smoke concentration data, gas concentration data, flame signal data, and human movement status data; determining whether human movement exists based on the human movement status data; if no human movement exists, performing a fire risk assessment based on comparisons between smoke concentration data and preset smoke thresholds, comparisons between gas concentration data and preset gas thresholds, and whether the flame signal data is non-zero; if human movement exists, performing a fire risk assessment based on comparisons between flame signal data and preset flame thresholds, and whether the flame signal data is continuously rising. Therefore, this method is applicable to situations involving spontaneous combustion or electrical fires in student dormitories, avoiding false alarms caused by student activities, proactively identifying when students ignite other substances with candles or lighters, and avoiding false alarms due to dust or smog caused by heavy fog or dormitory cleaning.

The invention discloses a smart dormitory management system based on Internet of Things. A central data processing module is configured to receive, store and process data from each sensor and module; the environment monitoring and control module is configured to monitor the temperature, humidity and air quality in a dormitory in real time; the safety management module is configured to utilize face recognition and fingerprint recognition technologies to ensure that only authorized personnel can enter and exit a dormitory; the emotion perception module is configured to judge the emotion fluctuation state of the student through face recognition, voice analysis and behavior pattern analysis; the psychological health monitoring module is configured to monitor psychological health conditions of students in real time and provide customized psychological health suggestions or online consultation services; the personalized environment adaptation module is configured to automatically adjust the dormitory environment through the living habits and preferences of the students. According to the technical scheme, a more comfortable, safer and more efficient living environment is provided, and intelligence and humanization of dormitory management are improved.

The present invention discloses a student dormitory allocation method based on big data, including data collection, data preprocessing, building dormitory allocation clusters, optimizing clusters and student dormitory allocation. The present invention relates to the field of dormitory management technology, and specifically refers to a student dormitory allocation method based on big data. The scheme improves the accuracy, robustness and overall performance of clustering by designing a refined neighboring point reference distance function, calculating enhanced point cluster inter-cluster connectivity, designing a clustering effect evaluation mechanism, creating noise clusters, and designing a dynamic update strategy for cluster centers; by introducing an adaptive search strategy, a mode switching mechanism, and a method combining multi-directional and adaptive search, the parameter search efficiency, flexibility and global optimization capability are improved, ensuring the reliability of the optimization result.