Capsule room intelligent monitoring and comprehensive management system and management method

Abstract

The invention discloses an intelligent monitoring and comprehensive management system and management method for a capsule room. The system comprises a mobile interaction end, a data processing end and a visual screen, the mobile interaction end, the data processing end and the visual screen are connected in sequence; wherein the mobile interaction terminal is used for uploading acquired suspicious room image data and receiving a sent capsule room management notification; the data processing end is used for analyzing the capsule room condition according to the suspicious room image data to formulate a capsule room management scheme, and generating a capsule room management notice based on the capsule room management scheme; and the visual screen is used for displaying the capsule room condition, the capsule room management efficiency and the capsule room positioning map. Suspicious room image data are uploaded at any time through the mobile interaction terminal, a capsule room management scheme can be made conveniently, the capsule room management state and effect can be visualized, comprehensive management of the capsule room by multiple parties is achieved, and the improvement effect of the capsule room is improved.

Description

Technical Field

[0001] The present application relates to the technical field of capsule room management, and more specifically, to an intelligent monitoring and integrated management system and management method for capsule rooms. Background Art

[0002] With the acceleration of urbanization, housing problems have become increasingly prominent, especially in densely populated metropolitan areas. Capsule houses usually refer to a compact, modular micro-living space, especially rental houses in cities that are illegally converted by adding partitions to a single, small room, namely "partitioned houses" or "shared houses". Capsule houses usually violate local building codes and housing regulations because these conversions often undermine the original structural safety of the house, affect the quality of the living environment, reduce emergency escape routes, and are usually accompanied by multiple problems such as overloaded circuits and fire safety hazards. Relevant measures need to be taken to strengthen the supervision and rectification of violations in capsule houses.

[0003] In the existing technology, in order to regulate capsule rooms, it is necessary for property companies and communities to strengthen the control over house decoration on the basis of relevant policies to regulate the housing market, eliminate the emergence of capsule rooms, and use technical means such as geographic information systems to accurately locate and monitor capsule rooms in the city, so as to facilitate more effective management and regulation.

[0004] However, capsule rooms are mostly located in densely populated urban areas, such as "urban villages". The complexity of these areas makes management difficult, mainly because it is difficult to accurately locate a large number of capsule rooms. The phenomenon of capsule rooms has been repeatedly banned and recurred. The capsule room problem requires the cooperation of multiple parties to manage it, but in the actual implementation process, there will be problems such as inadequate supervision and low efficiency of cooperative law enforcement, resulting in ineffective rectification. Summary of the invention

[0005] In response to at least one defect or improvement need in the prior art, the present invention provides an intelligent monitoring and integrated management system and management method for capsule rooms, which are used to solve the problem in the prior art that capsule rooms are located in densely populated areas and require collaboration among multiple parties for management, resulting in inadequate comprehensive management of capsule rooms, low efficiency of cooperative law enforcement, and unclear remediation effects.

[0006] To achieve the above-mentioned object, according to a first aspect of the present invention, there is provided a capsule room intelligent monitoring and integrated management system, comprising: a mobile interactive terminal, a data processing terminal and a visualization screen; the mobile interactive terminal, the data processing terminal and the visualization screen are connected in sequence; Among them, the mobile interactive terminal is used to upload the collected suspicious room image data and receive the sent capsule room management notification; The data processing end is used to analyze the capsule room status according to the suspicious room image data, formulate a capsule room management plan, and generate a capsule room management notification based on the capsule room management plan; The visualization screen is used to display the status of the capsule room, the efficiency of capsule room management, and the capsule room location map.

[0007] In some possible implementations, the data processing end includes: an image recognition module, a task assignment module, and a status update module; the image recognition module, the task assignment module, and the status update module are connected in sequence; The image recognition module is used to perform image recognition on the suspicious room image data to determine whether there is a capsule room in the suspicious room image data; The task assignment module is used to formulate capsule room management plans and generate capsule room management notifications to assign capsule room management tasks; The status update module is used to update the capsule room management status according to the real-time management status of the capsule room.

[0008] In some possible implementations, the image recognition module includes: a preprocessing unit, a feature extraction unit, and a capsule room recognition unit; the preprocessing unit, the feature extraction unit, and the capsule room recognition unit are connected in sequence; The preprocessing unit is used to filter the suspicious room image data to enhance the key features in the suspicious room image data; The feature extraction unit is used to extract room structure features from the preprocessed suspicious room image data; The capsule room identification unit is used to identify the capsule room in the suspicious room image data according to the room structure characteristics.

[0009] In some possible implementations, the task assignment module includes: a rectification task unit and a law enforcement task unit; the rectification task unit and the law enforcement task unit are connected in sequence; Among them, the rectification task unit is used to issue rectification documents to the identified capsule rooms and generate rectification notices to assign rectification tasks to the capsule rooms; The law enforcement task unit is used to generate an enforcement notice and assign law enforcement tasks to the capsule room when the capsule room fails to meet the preset rectification requirements within the preset time.

[0010] In some possible implementations, the mobile interaction terminal includes: a data uploading module and a notification receiving module; the data uploading module and the notification receiving module are respectively connected to the data processing terminal; Among them, the data uploading module is used to upload the collected suspicious room image data to the data processing end; The notification receiving module is used to receive capsule room management notifications sent by the data processing end.

[0011] In some possible implementations, the visualization screen includes: a statistical analysis module, a governance effectiveness analysis module, and a map construction module; the statistical analysis module, the governance effectiveness analysis module, and the map construction module are respectively connected to the data processing end; Among them, the statistical analysis module is used to count the distribution area and management status of the capsule rooms, and display the distribution area and management status of the capsule rooms in a preset form; The governance efficiency analysis module is used to generate and display capsule room management efficiency data based on the capsule room management status; The map construction module is used to generate and display the capsule room positioning map based on the suspicious room image data.

[0012] According to a second aspect of the present invention, there is also provided a method for intelligent monitoring and comprehensive management of capsule rooms, characterized in that it includes: Upload the collected suspicious room image data and receive the capsule room management notification sent; Analyze the capsule room status according to the suspicious room image data, formulate a capsule room management plan, and generate a capsule room management notification based on the capsule room management plan; Display the status of capsule rooms, capsule room management efficiency and capsule room location map.

[0013] In some possible implementations, analyzing the capsule room status according to the suspicious room image data to formulate a capsule room management plan, and generating a capsule room management notification based on the capsule room management plan, including: Performing image recognition on the suspicious room image data to determine whether there is a capsule room in the suspicious room image data; Formulate capsule room management plan, generate capsule room management notification and assign capsule room management tasks; Update the capsule room management status according to the real-time management situation of the capsule room.

[0014] In some possible implementations, uploading the collected suspicious room image data and receiving the sent capsule room management notification include: Upload the collected suspicious room image data to the data processing terminal; Receive capsule room management notifications sent by the data processing end.

[0015] In some possible implementations, the capsule room status, capsule room management efficiency, and capsule room location map are displayed, including: Count the distribution area and management status of capsule rooms, and display the distribution area and management status of capsule rooms in a preset form; Generate and display capsule room management efficiency data based on capsule room management status; Generate and display the capsule room location map based on the suspicious room image data.

[0016] In general, the above technical solutions conceived by the present invention can achieve the following beneficial effects compared with the prior art: The present invention provides an intelligent monitoring and integrated management system for capsule rooms. The collected suspicious room image data can be uploaded to the data processing end at any time through the mobile interactive end. The data processing end analyzes the suspicious room image data, determines the capsule room therein, determines the management plan corresponding to the capsule room, generates a capsule room management notification based on the capsule room management plan, and sends it back to the mobile interactive end, so as to guide the integrated management of the corresponding capsule room. The capsule room status, capsule room management efficiency and capsule room positioning map are then displayed in real time on a visual screen, so as to facilitate the supervision of the existing capsule rooms and understand the relevant information of the capsule rooms. The management effect of the capsule rooms can also be intuitively displayed, thereby facilitating the integrated management of the capsule rooms by all parties and improving the integrated management effect of the capsule rooms. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 A schematic diagram of the structure of an embodiment of the capsule room intelligent monitoring and integrated management system provided by the present invention; Figure 2 A schematic diagram of the structure of an embodiment of a data processing terminal provided by the present invention; Figure 3 A schematic diagram of the structure of an embodiment of an image recognition module provided by the present invention; Figure 4 A structural diagram of an embodiment of a task assignment module provided by the present invention; Figure 5 A schematic diagram of the structure of an embodiment of a mobile interaction terminal provided by the present invention; Figure 6 A schematic structural diagram of an embodiment of a visualization screen provided by the present invention; Figure 7 A schematic diagram of a flow chart of an embodiment of the method for intelligent monitoring and comprehensive management of capsule rooms provided by the present invention; Figure 8 The present invention provides Figure 7 A schematic flow chart of an embodiment of step S200; Fig. 9 The present invention provides Figure 7 FIG. 5 is a flow chart of an embodiment of step S300 in FIG. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0020] The terms "first", "second", "third", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.

[0021] The present invention provides a capsule room intelligent monitoring and integrated management system and management method, which are respectively described below.

[0022] See also Figure 1 , Figure 1 A structural schematic diagram of an embodiment of the capsule room intelligent monitoring and integrated management system provided by the present invention. In a specific embodiment of the present invention, a capsule room intelligent monitoring and integrated management system 1 is disclosed, comprising: a mobile interactive terminal 100, a data processing terminal 200 and a visualization screen 300; the mobile interactive terminal 100, the data processing terminal 200 and the visualization screen 300 are connected in sequence; The mobile interactive terminal 100 is used to upload the collected suspicious room image data and receive the sent capsule room management notification; The data processing terminal 200 is used to analyze the capsule room status according to the suspicious room image data to formulate a capsule room management plan, and generate a capsule room management notification based on the capsule room management plan; The visualization screen 300 is used to display the capsule room status, capsule room management efficiency and capsule room location map.

[0023] In the above embodiment, in order to facilitate the use of relevant staff, the mobile interactive terminal 100 can be a small program on the mobile phone device, which has the advantages of portability and ease of use. Relevant staff can upload suspicious room image data on the small program side through their own visits and inspections or reports from the public, and record the street, community, community name, building, unit, house number, etc. to which the capsule room belongs.

[0024] The data processing terminal 200 involves processing of various data. First, it is necessary to verify whether the reported data is a capsule room based on the pictures in the reported suspicious room image data through the capsule room automatic identification algorithm. When the capsule room is identified, it is necessary to manage the capsule room and formulate a capsule room management plan for the capsule room. It should be noted that when the capsule room is first discovered, it will be rectified first. If the rectification requirements are not met within the specified period, the law enforcement procedure will be entered. It should be noted that whether it is rectification of the capsule room or law enforcement of the capsule room, the corresponding management notification needs to be sent to the mobile interaction terminal 100, and the relevant staff implements the corresponding management through the mobile interaction terminal 100.

[0025] In addition to the basic display function, the visualization screen 300 can also obtain the management data of the capsule room from the data processing end 200, and perform basic analysis functions on the management data of the capsule room, including data statistics, and display the statistical results in different forms. It can also generate relevant maps of the capsule room, and help relevant staff to quickly grasp the overall situation through maps and make more effective management decisions.

[0026] Compared with the prior art, the present embodiment provides an intelligent monitoring and integrated management system 1 for capsule rooms. The collected suspicious room image data can be uploaded to the data processing terminal 200 at any time through the mobile interactive terminal 100. The data processing terminal 200 analyzes the suspicious room image data, determines the capsule room therein, determines the management plan corresponding to the capsule room, and generates a capsule room management notification based on the capsule room management plan, which is then sent back to the mobile interactive terminal 100 to guide the integrated management of the corresponding capsule room. The capsule room status, capsule room management efficiency and capsule room positioning map are then displayed in real time through the visualization screen 300, which is convenient for supervising the existing capsule rooms and understanding the relevant information of the capsule rooms. The management effect of the capsule rooms can also be intuitively displayed, thereby facilitating the comprehensive management of the capsule rooms by all parties and improving the comprehensive management effect of the capsule rooms.

[0027] See also Figure 2 , Figure 2 The structure diagram of an embodiment of the data processing terminal provided by the present invention is as follows. In some embodiments of the present invention, the data processing terminal 200 includes: an image recognition module 210, a task assignment module 220 and a status update module 230; the image recognition module 210, the task assignment module 220 and the status update module 230 are connected in sequence; The image recognition module 210 is used to perform image recognition on the suspicious room image data to determine whether there is a capsule room in the suspicious room image data; The task assignment module 220 is used to formulate a capsule room management plan and generate a capsule room management notification to assign capsule room management tasks; The status update module 230 is used to update the management status of the capsule room according to the real-time management status of the capsule room.

[0028] In the above embodiment, the image recognition module 210 mainly includes an image recognition algorithm, which performs image recognition on the suspicious room image data. When there is a capsule room in the suspicious room image data, relevant capsule room data is extracted from the suspicious room image data.

[0029] The task assignment module 220 is to formulate a capsule room management plan to manage the capsule room when it is determined that there is a capsule room in the suspicious room image data. According to the output of the image recognition module 210, a specific capsule room management plan is formulated. It should be noted that when creating a specific management task, it is necessary to clarify the task content, responsible person, completion time limit, etc. After that, a management notification is generated and sent to the mini program of the relevant responsible person through email, SMS or application push. After that, it is necessary to monitor the execution of the task to ensure that the task is completed on time and deal with possible problems.

[0030] The status update module 230 mainly updates the data on the execution of the capsule room management task. The updated content includes that if the capsule room rectification meets the preset rectification requirements within the preset time, the room will be removed from the capsule room; if the capsule room is not rectified within the preset time or the rectification does not meet the preset rectification requirements, law enforcement needs to be carried out on the capsule room.

[0031] It should be noted that the preset time and the preset rectification requirements can be set according to actual conditions, and the present invention does not impose further limitations on this.

[0032] See also Figure 3 , Figure 3 A schematic diagram of the structure of an embodiment of the image recognition module provided by the present invention. In some embodiments of the present invention, the image recognition module 210 includes: a preprocessing unit 211, a feature extraction unit 212, and a capsule room recognition unit 213; the preprocessing unit 211, the feature extraction unit 212, and the capsule room recognition unit 213 are connected in sequence; The pre-processing unit 211 is used to filter the suspicious room image data to enhance the key features in the suspicious room image data; The feature extraction unit 212 is used to extract room structure features from the pre-processed suspicious room image data; The capsule room identification unit 213 is used to identify the capsule room in the suspicious room image data according to the room structure characteristics.

[0033] In the above embodiment, the pre-processing unit 211 can filter the suspicious room image data by using Gaussian filtering, median filtering, etc. to remove image noise, thereby enhancing the key features in the suspicious room image data and improving the image quality. In addition, the contrast of the image can be adjusted to make different areas in the image clearer, which is helpful for subsequent feature recognition; the edge detection algorithm can be used to highlight the boundaries in the image to provide a basis for the extraction of structural features; all images can be adjusted to a uniform size to ensure the consistency of subsequent processing; the image may need to be converted from the RGB color space to a color space more suitable for processing, such as HSV or grayscale space.

[0034] The feature extraction unit 212 needs to analyze the structural features in the preprocessed suspicious room image data, such as the layout of the room, walls, doors and windows, etc. Identify specific shapes in the image, such as rectangular rooms, round windows, etc., which may be related to the characteristics of capsule rooms. Extract texture features of the image, such as the material of the wall, the pattern of the floor, etc., which can be used as auxiliary information for identifying capsule rooms. Identify the spatial relationship between objects in the image, such as the placement of furniture, the partition of the room, etc.

[0035] The capsule room identification unit 213 matches the extracted structural features with the known capsule room features to determine whether the suspicious room meets the characteristics of the capsule room. A trained machine learning model, such as a support vector machine (SVM), a random forest, or a deep neural network, is applied to perform feature classification. Based on the output of the model, a decision is made as to whether to mark the suspicious room as a capsule room. The confidence of the recognition result is evaluated. For results with low confidence, further manual review or additional information may be required. The recognition result is fed back to the preprocessing and feature extraction unit 212 to continuously optimize and adjust the processing flow. Key points in the image are identified, such as non-enclosed walls, corners of the room, edges of furniture, etc. These key points are helpful for further image analysis.

[0036] In a preferred embodiment of the present invention, when performing image recognition on capsule rooms, the main process is as follows: Step 1: Collect a large number of capsule room and non-capsule room images, label them correctly, and use filters to enhance key features in the image. Step 2: Use the Canny edge detection algorithm to extract the outline of the room and its layout; use the Harris corner detection algorithm to determine the position of the corner points in the room. The obtained grayscale image can highlight the basic shape of the room and serve as the input of the machine learning algorithm. Step 3: Use the labeled capsule room and non-capsule room image data set to train the convolutional neural network CNN classification model. The model automatically extracts relevant room structure features from the grayscale image and learns to distinguish the feature differences between capsule rooms and non-capsule rooms. Step 4: Integrate the image preprocessing, feature extraction, model calculation and output steps into an automatic recognition model, deploy it on the server side, and open the interface. Input the real-time collected pictures into the trained model, and the model outputs the results to automatically determine whether the house in the picture is a capsule room.

[0037] See also Figure 4 , Figure 4 A structural diagram of an embodiment of a task assignment module provided by the present invention. In some embodiments of the present invention, the task assignment module 220 includes: a rectification task unit 221 and a law enforcement task unit 222; the rectification task unit 221 and the law enforcement task unit 222 are connected in sequence; Among them, the rectification task unit 221 is used to issue rectification documents to the identified capsule rooms, and generate rectification notices to assign rectification tasks to the capsule rooms; The law enforcement task unit 222 is used to generate a law enforcement notice and assign law enforcement tasks to the capsule room when the capsule room fails to meet the preset rectification requirements within a preset time.

[0038] In the above embodiment, once the capsule room is identified, the rectification task unit 221 is responsible for generating rectification documents to clarify the specific requirements, standards and deadlines for rectification. A rectification notice is sent to the owner or manager of the capsule room to ensure that they understand the specific content and urgency of the rectification. A tracking mechanism for rectification tasks is established to monitor the progress of rectification and ensure that the tasks are completed on time. The rooms after rectification are inspected to review whether the rectification results meet the specified requirements. All feedback and results during the rectification process are recorded to provide data support for subsequent management and decision-making.

[0039] The law enforcement task unit 222 sets the deadline for the completion of the rectification task and monitors the time progress to ensure that the rectification task is executed within the specified time. At the end of the preset time, evaluate whether the capsule room has met the preset rectification requirements. If the capsule room does not meet the rectification requirements, the unit is responsible for generating an enforcement notice, clearly indicating the violation and the enforcement measures to be taken. Assign enforcement tasks to the corresponding law enforcement departments or personnel to ensure the intensity and efficiency of the execution of the tasks. When necessary, initiate legal proceedings, including but not limited to fines, compulsory execution and other measures to ensure that the rectification requirements are implemented.

[0040] See also Figure 5 , Figure 5 A schematic diagram of the structure of an embodiment of a mobile interaction terminal provided by the present invention. In some embodiments of the present invention, the mobile interaction terminal 100 includes: a data uploading module 110 and a notification receiving module 120; the data uploading module 110 and the notification receiving module 120 are respectively connected to the data processing terminal 200; The data uploading module 110 is used to upload the collected suspicious room image data to the data processing terminal 200; The notification receiving module 120 is used to receive the capsule room management notification sent by the data processing terminal 200 .

[0041] In the above embodiment, the notification receiving module 120 needs to receive various notification services sent by the data processing terminal 200 to ensure that all relevant management notifications can be received. The notification information from the data processing terminal 200 is continuously monitored to ensure that the latest management dynamics can be received in a timely manner. According to the content and urgency of the notification, the information is distributed to relevant departments or personnel to ensure the timely execution of the task. In order to provide a user-friendly interface, this embodiment enables users to easily view and manage received notifications. All received notifications, including information such as time, content and recipient, are recorded for subsequent review and tracking.

[0042] The data upload module 110 and the notification receiving module 120 are combined with other parts of the entire capsule room management system to achieve seamless flow of data and information. Through automation technology, human intervention is reduced, and the efficiency and accuracy of data upload and notification reception are improved. During the data upload or notification reception process, if an abnormal situation occurs, the system can automatically detect and handle the error. A mechanism is provided to collect user feedback on the data upload and notification receiving module 120, and continuously optimize system performance. Ensure that the data upload and notification reception process complies with relevant laws and regulations to protect user privacy and data security.

[0043] See also Figure 6 , Figure 6A structural diagram of an embodiment of a visualization screen provided by the present invention. In some embodiments of the present invention, the visualization screen 300 includes: a statistical analysis module 310, a governance efficiency analysis module 320, and a map construction module 330; the statistical analysis module 310, the governance efficiency analysis module 320, and the map construction module 330 are respectively connected to the data processing terminal 200; The statistical analysis module 310 is used to count the distribution area and management status of the capsule rooms, and display the distribution area and management status of the capsule rooms in a preset form; The management efficiency analysis module 320 is used to generate and display capsule room management efficiency data according to the capsule room management status; The map construction module 330 is used to generate and display a capsule room positioning map according to the suspicious room image data.

[0044] In the above embodiment, the statistical analysis module 310 collects key data such as the distribution area and management status of the capsule rooms. The collected data is classified according to different dimensions such as area and status. Statistical calculations are performed on the classified data, such as total number, percentage, trend, etc. Charts and reports are designed to display statistical results in an intuitive way, such as bar charts, pie charts, line charts, etc. The display format and content can also be customized according to actual usage requirements to meet the display requirements of different users and scenarios. Ensure that statistical data and display results can be updated in real time to reflect the latest management situation.

[0045] The governance effectiveness analysis module 320 clearly defines the effectiveness indicators of capsule room management, such as rectification completion rate, law enforcement execution rate, etc. Analyze the relationship between different management states and effectiveness indicators, and identify the key factors affecting governance effectiveness. Evaluate the overall effectiveness of the current capsule room management based on effectiveness indicators and related data. Use historical data and trend analysis to predict the trend of future governance effectiveness. Through effectiveness analysis, identify problems and deficiencies in the management process. Based on the analysis results, put forward suggestions and measures to improve management effectiveness.

[0046] The map construction module 330 integrates the geographic information in the suspicious room image data, such as latitude and longitude coordinates, address, etc. Access map service APIs, such as Google Maps, Baidu Maps, etc., for map generation and display. Mark the specific location of the capsule room on the map, and use different icons or colors to distinguish different management statuses. Design interactive functions of the map, such as zooming, dragging, and clicking to query, to improve user experience. Implement dynamic update of map data to ensure that the information displayed on the map is synchronized with the actual management status. Support the screening and display of capsule rooms according to different dimensions (such as region, time, etc.).

[0047] See also Figure 7 , Figure 7The present invention is a flowchart of an embodiment of the method for intelligent monitoring and comprehensive management of capsule rooms provided by the present invention. According to a second aspect of the present invention, a method for intelligent monitoring and comprehensive management of capsule rooms is also provided, including: S100, uploading the collected suspicious room image data and receiving the sent capsule room management notification; S200, formulating a capsule room management plan based on analyzing the capsule room status according to the suspicious room image data, and generating a capsule room management notification based on the capsule room management plan; S300, displays the capsule room status, capsule room management efficiency and capsule room location map.

[0048] In the above embodiment, the image data of the suspicious room is collected, which may include photos taken on site, video surveillance screenshots, etc. The collected image data is uploaded to the central data processing terminal 200 through a secure network connection for further analysis. At the same time, capsule room management notifications are received from the data processing terminal 200, which may include rectification requirements, law enforcement instructions, etc. The present invention also needs to provide a user interface so that operators can easily upload data and receive notifications. Ensure the synchronization of data upload and notification reception so as to respond to management needs in a timely manner.

[0049] Conduct in-depth analysis of uploaded suspicious room image data to identify the characteristics and conditions of capsule rooms. Based on the image analysis results, formulate targeted capsule room management plans, including corrective measures, timetables, and responsibility allocation. Based on the management plan, the system automatically generates capsule room management notices, clearly indicating management requirements and execution details. Assign management tasks to the corresponding execution teams or individuals to ensure smooth execution of tasks. Establish a task progress tracking mechanism to monitor the implementation of the management plan.

[0050] Display the current status of capsule rooms, such as distribution area, quantity, type, etc. Display the efficiency data of capsule room management, such as key indicators such as rectification completion rate and law enforcement success rate. Use map construction module 330 to display the location map of capsule rooms, including location, status mark, etc. Provide views of different dimensions, such as time series, regional distribution, etc., to meet different analysis needs. Design an interactive user interface so that users can filter, zoom in or query specific information as needed. Ensure that the displayed information can be updated in real time to reflect the latest management status and efficiency data.

[0051] See also Figure 8 , Figure 8 The present invention provides Figure 7 In some embodiments of the present invention, a capsule room management plan is formulated based on the analysis of the capsule room status according to the suspicious room image data, and a capsule room management notification is generated based on the capsule room management plan, including: S210, performing image recognition on the suspicious room image data to determine whether there is a capsule room in the suspicious room image data; S220, formulate a capsule room management plan, and generate a capsule room management notification to assign capsule room management tasks; S230. Update the capsule room management status according to the real-time management status of the capsule room.

[0052] In the above embodiment, ensure that the processes between the three sub-steps S210, S220, and S230 are coordinated and consistent to form an efficient management closed loop. Integrate the data generated in the three sub-steps to provide comprehensive data support for management decisions. Where possible, use automation technology to reduce manual operations and improve management efficiency. Provide a user-friendly interactive interface so that managers can easily perform tasks, status updates, and other operations. Based on the feedback from management practice, continuously optimize management processes and module functions to improve the overall effectiveness of capsule room management.

[0053] In some embodiments of the present invention, uploading the collected suspicious room image data and receiving the sent capsule room management notification include: Upload the collected suspicious room image data to the data processing terminal 200; Receive the capsule room management notification sent by the data processing terminal 200.

[0054] In the above embodiment, it is used by relevant staff and community or residential area leaders to facilitate rapid information collection, reporting and verification on site. Message notifications are received from the data processing terminal 200, including rectification notifications and capsule room event notifications to be enforced. This enables capsule room management to process image data of suspicious rooms more efficiently and safely, and respond to management notifications in a timely manner, thereby improving overall management efficiency.

[0055] See also Fig. 9 , Fig. 9 The present invention provides Figure 7 The flowchart of an embodiment of step S300 in some embodiments of the present invention is as follows: S310, counting the distribution area and management status of the capsule rooms, and displaying the distribution area and management status of the capsule rooms in a preset form; S320, generating and displaying capsule room management efficiency data according to the capsule room management status; S330: Generate and display a capsule room location map based on the suspicious room image data.

[0056] In the above embodiment, capsule room events are counted by region and status, and intuitive visualization is achieved in the form of charts. The processing status of capsule room events in the cloud server is analyzed, and the governance energy efficiency data is displayed, so that supervisors can understand the current disposal progress in a timely manner. Through visual display, especially the capsule room location map, decision makers can quickly grasp the overall situation and make more effective management and scheduling decisions.

[0057] It should be noted that, in the embodiment of the present invention, the data processing terminal 200 may also include a cloud database to record the entire management process of capsule room events and ensure that all information and processing status are updated to the cloud database in real time for synchronization with other terminals.

[0058] The cloud database records all relevant information in detail from the discovery of the capsule room incident, including time, location, description, responsible person, etc. Data is collected through multiple channels such as on-site investigations, resident reports, and monitoring systems to ensure the comprehensiveness of information. Ensure that all collected information and processing status can be updated to the cloud database in real time. Establish a synchronization mechanism to ensure data consistency between the cloud database and other terminals (such as mobile devices, desktop applications, etc.).

[0059] In summary, the present invention provides an intelligent monitoring and integrated management system 1 for capsule rooms. The collected suspicious room image data can be uploaded to the data processing terminal 200 at any time through the mobile interactive terminal 100. The data processing terminal 200 analyzes the suspicious room image data, determines the capsule room therein, determines the management plan corresponding to the capsule room, and generates a capsule room management notification based on the capsule room management plan, which is then sent back to the mobile interactive terminal 100, thereby guiding the integrated management of the corresponding capsule room. The capsule room status, capsule room management efficiency and capsule room positioning map are then displayed in real time through the visualization screen 300, which is convenient for supervising the existing capsule rooms and understanding the relevant information of the capsule rooms. The management effect of the capsule rooms can also be intuitively displayed, thereby facilitating the comprehensive management of the capsule rooms by all parties and improving the comprehensive management effect of the capsule rooms.

[0060] The present application also provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the steps of the above method are implemented. The computer-readable storage medium may include, but is not limited to, any type of disk, including a floppy disk, an optical disk, a DVD, a CD-ROM, a micro drive, and a magneto-optical disk, a ROM, a RAM, an EPROM, an EEPROM, a DRAM, a VRAM, a flash memory device, a magnetic card or an optical card, a nanosystem (including a molecular memory IC), or any type of medium or device suitable for storing instructions and / or data.

[0061] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0062] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0063] In the several embodiments provided in the present application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0064] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0065] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0066] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a memory, including a number of instructions to enable a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned memory includes: U disk, read-only memory (ROM), random access memory (RAM), mobile hard disk, disk or optical disk and other media that can store program codes.

[0067] A person skilled in the art may understand that all or part of the steps in the various methods of the above embodiments may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable memory, which may include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0068] The above is only an exemplary embodiment of the present disclosure, and the scope of the present disclosure cannot be limited thereto. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the specification and practicing the disclosure here, those skilled in the art will easily think of the implementation scheme of the present disclosure. This application is intended to cover any modification, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the technical field not recorded in the present disclosure. The description and examples are regarded as exemplary only, and the scope and spirit of the present disclosure are defined by the claims.

[0069] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0070] It will be easily understood by those skilled in the art that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A capsule room intelligent monitoring and integrated management system, characterized in that: include: A mobile interaction terminal, a data processing terminal and a visualization screen; the mobile interaction terminal, the data processing terminal and the visualization screen are connected in sequence; The mobile interactive terminal is used to upload the collected suspicious room image data and receive the sent capsule room management notification; The data processing end is used to analyze the capsule room status according to the suspicious room image data to formulate a capsule room management plan, and generate the capsule room management notification based on the capsule room management plan; The visualization screen is used to display the capsule room status, capsule room management efficiency and capsule room location map.

2. The capsule room intelligent monitoring and integrated management system according to claim 1, characterized in that: The data processing end comprises: an image recognition module, a task assignment module and a status update module; the image recognition module, the task assignment module and the status update module are connected in sequence; The image recognition module is used to perform image recognition on the suspicious room image data to determine whether there is a capsule room in the suspicious room image data; The task assignment module is used to formulate a capsule room management plan and generate the capsule room management notification to assign capsule room management tasks; The status update module is used to update the management status of the capsule room according to the real-time management status of the capsule room.

3. The capsule room intelligent monitoring and integrated management system according to claim 2, characterized in that: The image recognition module includes: the preprocessing unit, the feature extraction unit and the capsule room recognition unit; the preprocessing unit, the feature extraction unit and the capsule room recognition unit are connected in sequence; The pre-processing unit is used to filter the suspicious room image data to enhance key features in the suspicious room image data; The feature extraction unit is used to extract room structure features from the preprocessed suspicious room image data; The capsule room identification unit is used to identify the capsule room in the suspicious room image data according to the room structure characteristics.

4. The capsule room intelligent monitoring and integrated management system according to claim 2, characterized in that: The task assignment module includes: a rectification task unit and a law enforcement task unit; the rectification task unit and the law enforcement task unit are connected in sequence; The rectification task unit is used to issue rectification documents to the identified capsule rooms, and generate rectification notices to assign rectification tasks to the capsule rooms; The law enforcement task unit is used to generate a law enforcement notice and assign law enforcement tasks to the capsule room when the capsule room fails to meet the preset rectification requirements within a preset time.

5. The capsule room intelligent monitoring and integrated management system according to claim 1, characterized in that: The mobile interaction terminal comprises: a data uploading module and a notification receiving module; the data uploading module and the notification receiving module are respectively connected to the data processing terminal; Wherein, the data uploading module is used to upload the collected suspicious room image data to the data processing end; The notification receiving module is used to receive the capsule room management notification sent by the data processing end.

6. The capsule room intelligent monitoring and integrated management system according to claim 2, characterized in that: The visualization screen includes: a statistical analysis module, a governance efficiency analysis module and a map construction module; the statistical analysis module, the governance efficiency analysis module and the map construction module are respectively connected to the data processing end; The statistical analysis module is used to count the distribution area and management status of the capsule rooms, and display the distribution area and management status of the capsule rooms in a preset form; The governance efficiency analysis module is used to generate and display capsule room management efficiency data according to the capsule room management status; The map construction module is used to generate and display a capsule room positioning map according to the suspicious room image data.

7. A method for intelligent monitoring and comprehensive management of capsule rooms, characterized in that: include: Upload the collected suspicious room image data and receive the capsule room management notification sent; Analyzing the capsule room status according to the suspicious room image data, formulating a capsule room management plan, and generating the capsule room management notification based on the capsule room management plan; The capsule room status, capsule room management efficiency and capsule room location map are displayed.

8. The capsule room intelligent monitoring and comprehensive management method according to claim 7, characterized in that: The step of analyzing the capsule room status according to the suspicious room image data and formulating a capsule room management plan, and generating the capsule room management notification based on the capsule room management plan, includes: Performing image recognition on the suspicious room image data to determine whether there is a capsule room in the suspicious room image data; Formulate a capsule room management plan, and generate the capsule room management notice to assign capsule room management tasks; Update the capsule room management status according to the real-time management situation of the capsule room.

9. The method for intelligent monitoring and comprehensive management of capsule rooms according to claim 7, characterized in that: The uploading of the collected suspicious room image data and receiving the sent capsule room management notification includes: Upload the collected suspicious room image data to the data processing terminal; Receive the capsule room management notification sent by the data processing end.

10. The capsule room intelligent monitoring and comprehensive management method according to claim 7, characterized in that: The display of the capsule room status, capsule room management efficiency and capsule room location map includes: Count the distribution area and management status of capsule rooms, and display the distribution area and management status of capsule rooms in a preset form; Generate and display capsule room management efficiency data according to the capsule room management status; A capsule room positioning map is generated and displayed according to the suspicious room image data.

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