An interactive elevator inspection management system and method

Abstract

The application discloses an interactive elevator inspection management system and method, and relates to the technical field of power equipment; the system comprises an intelligent scheduling algorithm module, a mobile device, a real-time data transmission module, a user interface module, a remote monitoring and rapid response module, a big data analysis and report generation module; the intelligent scheduling algorithm module plans a route, and assigns the shortest path to the inspection personnel; the remote monitoring and rapid response module monitors the state of the elevator in real time, and transmits real-time operation data and abnormal conditions to the background system; the big data analysis and report generation module processes and analyzes the inspection data, and identifies potential risk points; the problems of waste of human resources, untimely information and unreliable data in the traditional elevator inspection mode are solved; the optimization and efficient completion of the inspection task are realized; and the accuracy and reliability of the elevator inspection are improved.

Description

Technical Field

[0001] This invention relates to the field of power equipment technology, specifically to an interactive elevator inspection management system and method. Background Technology

[0002] Currently, elevator inspections in the market mainly rely on manual methods, where elevator safety personnel conduct daily on-site inspections. However, this method has some problems and drawbacks.

[0003] Traditional elevator inspections require safety personnel to arrive on-site, trigger the alarm button, and communicate with the monitoring room or duty room. This approach requires a significant investment of manpower and resources, such as assigning safety personnel to inspect each elevator and maintaining and managing related communication equipment. Furthermore, due to geographical limitations, unified management and supervision are not possible. Currently, safety personnel typically only need to sign after completing an inspection, without keeping a copy, which can easily lead to falsification by safety personnel and result in low reliability of inspection records. Summary of the Invention

[0004] The purpose of this invention is to provide an interactive elevator inspection management system and method, which solves the problems of wasted human resources, untimely information, and unreliable data in traditional elevator inspection methods. It optimizes and efficiently completes inspection tasks, improves the accuracy and reliability of elevator inspection, and provides comprehensive data analysis and report generation functions, providing better decision support for elevator managers.

[0005] The objective of this invention can be achieved through the following technical solutions:

[0006] This application provides an interactive elevator inspection management system, including an intelligent scheduling algorithm module, a mobile device and real-time data transmission module, a user interface module, a remote monitoring and rapid response module, and a big data analysis and report generation module.

[0007] The intelligent scheduling algorithm module communicates bidirectionally with the mobile device and the real-time data transmission module. The intelligent scheduling algorithm module transmits the inspection task and route information to the mobile device, enabling the inspection personnel to receive the inspection objectives and carry out the inspection. The inspection personnel collect real-time data through the mobile device.

[0008] The mobile device and real-time data transmission module communicate bidirectionally with the user interface module. The mobile device and real-time data transmission module transmit inspection results and abnormal situation data back to the back-end system in real time. The user interface module obtains inspection results and elevator status data by accessing the back-end system interface, which can be viewed in real time by inspection personnel, maintenance personnel and management personnel.

[0009] The remote monitoring and rapid response module monitors the elevator's status in real time through IoT technology, transmits the elevator's real-time operating data and abnormal situations to the back-end system, and triggers alarms and notifications to notify inspection and maintenance personnel to handle the situation.

[0010] The big data analysis and report generation module communicates with the backend system in a one-way manner. The big data analysis and report generation module obtains inspection data by accessing the interface of the backend system, processes and analyzes the data, and generates and stores the analysis results and reports in the backend system.

[0011] Preferably, the intelligent scheduling algorithm module uses an intelligent scheduling algorithm to optimize the route planning of inspection personnel. By comprehensively considering the elevator location, inspection tasks, and real-time location information of the inspection personnel, the shortest path is determined and assigned to the inspection personnel.

[0012] The mobile device and real-time data transmission module enable inspection personnel to use the mobile device for inspection, allowing inspection information to be updated and shared immediately. Inspection personnel record inspection results through the mobile device and transmit the data to the backend system in real time.

[0013] The user interface module provides a user-friendly interface that allows inspectors, maintenance personnel, and managers to view the elevator's status and inspection history in real time, and to view the elevator's real-time operating data, inspection reports, and maintenance records through the interface.

[0014] The remote monitoring and rapid response module uses Internet of Things (IoT) technology to monitor the elevator's status in real time and immediately notify inspection and maintenance personnel when an anomaly is detected.

[0015] The big data analysis and report generation module uses big data analysis technology to process and analyze inspection data, enabling managers to identify problematic elevators and monitor maintenance quality, and generate inspection reports and maintenance suggestions.

[0016] Preferably, the intelligent scheduling algorithm module includes a data collection unit, a data integration and analysis unit, a path planning and task allocation unit, and a dynamic adjustment and feedback update unit.

[0017] The data collection unit is responsible for acquiring elevator location data, inspection task data, and real-time location information of inspection personnel in real time, and transmitting this data to the data integration and analysis unit. This data includes elevator location and motion status data, inspection task data to be executed, and real-time location information of inspection personnel. The data integration and analysis unit receives data from the data collection unit, integrates and analyzes it, and then transmits the integrated data to the path planning and task allocation unit. The path planning and task allocation unit determines the optimal inspection route and allocates tasks based on the received data and analysis results, and then transmits the inspection route and task allocation results to the dynamic adjustment and feedback update unit.

[0018] Preferably, the data collection unit acquires the elevator's position and motion status in real time by installing sensors in the elevator, and converts the physical signals into digital signals. At the same time, the inspection task allocation system records the detailed information of the inspection tasks, and the inspection personnel positioning system acquires the location information of the inspection personnel in real time.

[0019] The data integration and analysis involves the backend system cleaning and preprocessing elevator location data, inspection task data, and real-time location information of inspection personnel. This cleaned and preprocessed data is then integrated into a comprehensive dataset based on the data's correlation fields. These correlation fields are then used to link and match the elevator location data, inspection task data, and real-time location information of inspection personnel, establishing relationships between elevators, inspection tasks, and inspection personnel. Finally, machine learning is used to analyze the integrated data, allowing for real-time acquisition of the current elevator location, the list of elevators awaiting inspection, and the location information of inspection personnel.

[0020] The path planning and task allocation unit combines elevator location data, inspection task data, and real-time location information of inspection personnel, and uses a path planning algorithm to determine the optimal inspection route. Based on the elevator location data and the real-time location information of inspection personnel, it calculates the weight of the location of each elevator and the location of the inspection personnel. Inspection personnel who are closer to the inspection personnel or closer to the elevator to be inspected will receive higher weights. Then, the inspection task is assigned to the nearest and available inspection personnel, giving priority to the inspection personnel who match the task.

[0021] The dynamic adjustment and feedback update unit dynamically adjusts the inspection route in the event of an emergency or task update by updating real-time data. After the inspection personnel perform the inspection task according to the new route, the unit obtains the result feedback from the inspection personnel and updates the path planning based on this feedback. Then, based on the optimal path and the real-time location of the inspection personnel, the unit assigns the inspection task to the nearest and available inspection personnel and responds to and handles abnormal situations in a timely manner.

[0022] Preferably, the mobile device and real-time data transmission module include a natural language processing unit, a data caching unit, a data transmission and synchronization unit, a data triggering unit, an event-driven architecture, and a preprocessing unit.

[0023] The natural language processing unit acquires data from the data collection unit, and transmits the parsed structured inspection information to the data acquisition and caching unit. Subsequently, the data transmission and synchronization unit transmits the data to the backend system in real time. In the backend system, the data triggering unit ensures the consistency and updating of the data.

[0024] The natural language processing unit, on the mobile device, performs real-time parsing of inspection data using natural language processing technology, identifies entities in the inspection data using entity recognition technology, analyzes the inspection data to obtain inspection results, and then converts the inspection results into structured inspection information.

[0025] The data caching unit synchronizes structured inspection information to a temporary data cache area through the data acquisition program built into the mobile device, and caches the data through wireless transmission.

[0026] The data transmission and synchronization unit acquires the contents of the temporary data cache and transmits the data to the database of the backend management system in real time through the push service;

[0027] The data triggering unit uses a database trigger through the backend system to monitor the arrival of new data, updates the relevant inspection status in the database, and ensures the consistency of data across all terminals.

[0028] The event-driven architecture and preprocessing unit are described. The backend system uses the event-driven architecture pattern to preprocess new data, including judging whether the inspection results meet the standards according to the preset rule engine, and performing statistical analysis in the data analysis module to obtain the trend status of the inspection data.

[0029] Preferably, the user interface module includes a real-time data display unit, a historical data query unit, and a result display and update unit. The user interface module obtains real-time data, the latest inspection reports and maintenance records, and historical data from the backend system, and then displays them in a visual form to inspection personnel, maintenance personnel, and management personnel. When incremental data is added, it updates in real time to ensure that newly generated inspection reports and maintenance records can be added to the database and the user interface can be updated in a timely manner.

[0030] The real-time data display unit obtains real-time data from the back-end system and uses data visualization technology to display the latest inspection reports and maintenance records in tabular form, and provides search and filtering functions to make it easy for users to quickly find records for a specific time period or a specific elevator.

[0031] The historical data query unit allows users to view historical records. The user interface module retrieves data from the database for a specific time period using association query technology and displays it in the form of tables and charts. Inspection and maintenance personnel can review and analyze past elevator operation data.

[0032] The results display and update unit presents the dynamic monitoring results obtained by the time series analysis method in the form of charts, which helps inspection and maintenance personnel to better understand the elevator's operating status. When a new inspection report or maintenance record is generated, the user interface module applies the incremental data update method to add the new record to the database and updates the interface in real time, so that the latest inspection and maintenance information can be displayed in a timely manner.

[0033] Preferably, the remote monitoring and rapid response module includes a camera, a web or mobile terminal, a control terminal, an elevator alarm button relay, and an elevator alarm button. The web terminal's management interface can manage elevators in different regions, manage multiple elevators simultaneously, and query the inspection records of each elevator, as well as the progress of today's inspection tasks.

[0034] Inspection personnel send commands to the elevator car's control terminal via a web interface. The control terminal then controls the elevator alarm button relay. When the elevator alarm button is pressed, triggering the alarm bell, a pop-up notification appears on the web or mobile app. The inspection personnel click to enter the notification window and then initiate a two-way communication. The web interface uses the camera for communication, allowing remote inspection personnel to test the communication. After the test, the test video is saved and stored on the server. The recording process ends. If the alarm bell fails to sound, a maintenance work order is issued to urge maintenance personnel to perform repairs. If network fluctuations prevent the remote web interface from controlling the elevator car terminal to send control commands to the elevator alarm button relay, a retransmission mechanism is in place. When the control terminal detects that the network is normal, it notifies the web interface that the network has been restored, allowing the inspection test to proceed again.

[0035] Preferably, the big data analysis and report generation module includes a data analysis unit, a problem classification unit, and a report generation unit.

[0036] The data analysis unit captures elevator operation performance indicators through a sensor network and uses time series analysis methods to conduct in-depth analysis of the inspection data to monitor the long-term trend of elevator performance.

[0037] The problem classification unit uses association rule mining technology to discover fault patterns, identify potential risk points of elevators, and uses a decision tree algorithm to classify elevators with problems, determine their urgency, and set maintenance priority. Through feature extraction, the selected features are used as input and organized into a data format suitable for the decision tree algorithm to process. The decision tree algorithm is then used to train and build a decision tree model on the prepared data. The decision tree model associates the features with their corresponding problem classification labels to form a decision tree.

[0038] The trained decision tree model is then used to classify the new elevator data. Based on the elevator's feature values, the decision tree is used to make judgments along its branch paths, ultimately determining the elevator's problem category and corresponding urgency level.

[0039] The report generation unit uses automatic document generation technology to comprehensively analyze results, maintenance suggestions, and maintenance priorities to generate targeted inspection reports. Through multi-dimensional data analysis and visualization technology, it can comprehensively monitor the elevator's operating status.

[0040] An interactive elevator inspection management method includes the following steps:

[0041] S1: Data collection, which acquires elevator location data, inspection task data and real-time location information of inspection personnel in real time through the data collection unit;

[0042] S2: Data integration and analysis, which integrates and analyzes data from the data collection unit, combining elevator location data, inspection task data and real-time location information of inspection personnel, and performs cleaning and preprocessing.

[0043] S3: Path planning and task allocation. Based on the received data and analysis results, determine the best inspection route and allocate tasks. Transmit the inspection route and task allocation results to the dynamic adjustment and feedback update unit.

[0044] S4: Dynamic adjustment and feedback update. Based on the real-time updates of the inspection route and task allocation results, the inspection route is dynamically adjusted and feedback updates are performed. Inspection personnel execute tasks according to the updated inspection route and report the results back to the system.

[0045] S5: Mobile device inspection and data transmission. Inspection personnel use mobile devices to conduct inspections, record inspection results, and transmit data to the back-end system in real time.

[0046] S6: Big data analysis and report generation, using inspection data for processing and analysis to generate inspection reports and maintenance suggestions;

[0047] S7: User interface display and updates. It retrieves real-time data, inspection reports, and maintenance records from the backend system and presents them to inspection personnel, maintenance personnel, and management personnel in a visual format, and updates them in real time.

[0048] S8: Remote monitoring and rapid response. It monitors the elevator status in real time through IoT technology, transmits abnormal situations to the back-end system, and triggers alarms and notifications to notify inspection and maintenance personnel to handle the situation.

[0049] The beneficial effects of this invention are as follows:

[0050] (1) The route planning of the inspection personnel is optimized by the intelligent scheduling algorithm module, and the shortest path is assigned to the inspection personnel, saving time and human resources. The inspection information can be updated and shared immediately through mobile devices and real-time data transmission modules, avoiding delays and omissions in inspection data and improving the efficiency of inspection.

[0051] (2) The elevator status is monitored in real time through the remote monitoring and rapid response module, and the real-time operation data and abnormal situations are transmitted to the back-end system to trigger alarms and notifications. This can quickly respond to problems and reduce the risk of accidents. The big data analysis and report generation module processes and analyzes the inspection data, identifies potential risk points, and generates accurate inspection reports and maintenance suggestions to improve the reliability of the data.

[0052] (3) The user interface module provides real-time data display and historical data query functions. Inspection personnel, maintenance personnel and management personnel can view the elevator status and inspection history at any time. By visually displaying the elevator's real-time data and historical trends, users can evaluate the maintenance quality and formulate corresponding maintenance plans, improve management efficiency, and solve the problems of human resource waste, untimely information and unreliable data in traditional elevator inspection methods. Attached Figure Description

[0053] To better understand and implement this application, the technical solution is described in detail below with reference to the accompanying drawings.

[0054] Figure 1 This is a schematic diagram of the intelligent scheduling algorithm module structure of an interactive elevator inspection management system provided in Embodiment 1 of this application;

[0055] Figure 2 This is a schematic diagram of the structure of a mobile device and a real-time data transmission module for an interactive elevator inspection management system provided in Embodiment 1 of this application;

[0056] Figure 3 This is a schematic diagram of the user interface module structure of an interactive elevator inspection management system provided in Embodiment 1 of this application;

[0057] Figure 4This is a schematic diagram of the remote monitoring and rapid response module structure of an interactive elevator inspection management system provided in Embodiment 1 of this application;

[0058] Figure 5 This is a schematic diagram of the big data analysis and report generation module of an interactive elevator inspection management system provided in Embodiment 1 of this application;

[0059] Figure 6 The flowchart illustrates the steps of an interactive elevator inspection management method provided in Embodiment 1 of this application. Detailed Implementation

[0060] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, exemplary embodiments will be described in detail below, examples of which are illustrated in the accompanying drawings. In the following description relating to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of methods and systems consistent with some aspects of this application as detailed in the appended claims.

[0061] The terminology used in this application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. The singular forms “a,” “the,” and “the” used in this application and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any or all possible combinations of one or more of the associated listed items.

[0062] The following detailed description of the specific implementation methods, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided in detail.

[0063] Example 1

[0064] Please see Figures 1-6 This embodiment provides an interactive elevator inspection management system and method, which solves the problems of wasted human resources, untimely information, and unreliable data in traditional elevator inspection methods. It optimizes and efficiently completes inspection tasks, improves the accuracy and reliability of elevator inspection, and provides comprehensive data analysis and report generation functions, providing better decision support for elevator managers.

[0065] This invention provides an interactive elevator inspection and management system, including an intelligent scheduling algorithm module, a mobile device and real-time data transmission module, a user interface module, a remote monitoring and rapid response module, and a big data analysis and report generation module.

[0066] The intelligent scheduling algorithm module communicates bidirectionally with the mobile device and the real-time data transmission module. The intelligent scheduling algorithm module transmits the inspection task and route information to the mobile device so that the inspection personnel can receive the inspection purpose and carry out the inspection. The inspection personnel collect real-time data such as inspection results and abnormal situations through the mobile device.

[0067] The mobile device and real-time data transmission module communicate bidirectionally with the user interface module. The mobile device and real-time data transmission module transmit inspection results, abnormal situations and other data back to the back-end system in real time. The user interface module obtains inspection results, elevator status and other data by accessing the back-end system interface, so that inspection personnel, maintenance personnel and management personnel can view them in real time.

[0068] The remote monitoring and rapid response module monitors the elevator's status in real time through IoT technology, transmits the elevator's real-time operating data and abnormal situations to the back-end system, and triggers alarms and notifications to notify inspection and maintenance personnel to handle the situation.

[0069] The big data analysis and report generation module communicates with the backend system in a one-way manner. The big data analysis and report generation module obtains inspection data by accessing the interface of the backend system, processes and analyzes the data, and generates and stores the analysis results and reports in the backend system.

[0070] The intelligent scheduling algorithm module uses an intelligent scheduling algorithm to optimize the route planning of inspection personnel. By integrating information such as elevator location, inspection tasks and real-time location of inspection personnel, the shortest path is determined and assigned to inspection personnel to save time and human resources.

[0071] The mobile device and real-time data transmission module enable inspection personnel to use mobile devices for inspections, allowing inspection information to be updated and shared immediately. Inspection personnel can record inspection results through mobile devices and transmit the data to the back-end system in real time, avoiding delays and omissions in inspection data and improving inspection efficiency.

[0072] The user interface module provides a user-friendly interface that allows inspectors, maintenance personnel, and managers to view the elevator's status and inspection history in real time. They can view the elevator's real-time operating data, inspection reports, and maintenance records through the interface, improving the transparency and reliability of information.

[0073] The remote monitoring and rapid response module uses IoT technology to monitor the elevator's status in real time and immediately notify inspection and maintenance personnel when an anomaly is detected, enabling rapid response to problems and reducing the risk of accidents.

[0074] The big data analysis and report generation module uses big data analysis technology to process and analyze inspection data, so that managers can easily identify problematic elevators and monitor maintenance quality, and generate inspection reports and maintenance suggestions to support decision-making.

[0075] In this embodiment, the intelligent scheduling algorithm module includes a data collection unit, a data integration and analysis unit, a path planning and task allocation unit, and a dynamic adjustment and feedback update unit.

[0076] The data collection unit is responsible for acquiring elevator location data, inspection task data, and real-time location information of inspection personnel in real time, and transmitting this data to the data integration and analysis unit. This data includes elevator location and motion status data, inspection task data to be executed, and real-time location information of inspection personnel. The data integration and analysis unit receives data from the data collection unit, integrates and analyzes it, and then transmits the integrated data to the path planning and task allocation unit. The path planning and task allocation unit determines the optimal inspection route and allocates tasks based on the received data and analysis results, and then transmits the inspection route and task allocation results to the dynamic adjustment and feedback update unit.

[0077] In this embodiment, the data collection unit acquires the elevator's position and motion status in real time by installing sensors in the elevator and converts the physical signals into digital signals. At the same time, the inspection task allocation system records the detailed information of the inspection tasks, and the inspection personnel positioning system acquires the location information of the inspection personnel in real time.

[0078] The data integration and analysis in the backend system involves further integrating the cleaned and pre-processed elevator location data, inspection task data, and real-time location information of inspection personnel. Based on the data's correlation fields, a comprehensive dataset is merged. Then, the elevator location data, inspection task data, and real-time location information of inspection personnel are associated and matched through correlation fields, such as elevator number. This establishes the relationship between elevators, inspection tasks, and inspection personnel. Finally, machine learning is used to analyze the integrated data to obtain the current elevator location, the list of elevators to be inspected, and the location information of inspection personnel in real time.

[0079] The path planning and task allocation unit combines elevator location data, inspection task data, and real-time location information of inspection personnel, and uses a path planning algorithm to determine the optimal inspection route. Based on the elevator location data and the real-time location information of inspection personnel, it calculates the weight of the location of each elevator and the location of the inspection personnel. Inspection personnel who are closer to the inspection personnel or closer to the elevator to be inspected will receive higher weights. Then, the inspection task is assigned to the nearest and available inspection personnel, giving priority to the inspection personnel who match the task to ensure that the task can be completed in a timely manner.

[0080] The dynamic adjustment and feedback update unit dynamically adjusts the inspection route in the event of an emergency or task update by updating real-time data. After the inspection personnel perform the inspection task according to the new route, the unit obtains feedback from the inspection personnel and updates the path planning model based on this feedback. This ensures that the model can continuously learn and adapt to different inspection environments and requirements. Then, based on the optimal path and the real-time location of the inspection personnel, the unit assigns the inspection task to the nearest and available inspection personnel to ensure the efficient completion of the task and timely response and handling of abnormal situations.

[0081] Through the intelligent scheduling algorithm module, inspection tasks can be reasonably allocated and optimized, thereby improving inspection efficiency and accuracy. The system can continuously optimize inspection routes and task allocation based on real-time data and feedback to adapt to different inspection environments and requirements.

[0082] In this embodiment, the mobile device and real-time data transmission module include a natural language processing unit, a data caching unit, a data transmission and synchronization unit, a data triggering unit, an event-driven architecture, and a preprocessing unit.

[0083] The natural language processing unit acquires data from the data collection unit, and transmits the parsed structured inspection information to the data acquisition and caching unit. Subsequently, the data transmission and synchronization unit transmits the data to the backend system in real time. In the backend system, the data triggering unit ensures the consistency and updating of the data, and the event-driven architecture and preprocessing unit perform processing and analysis.

[0084] The natural language processing unit, on the mobile device, performs real-time parsing of inspection data using natural language processing technology, identifies entities in the inspection data, such as elevator numbers and fault types, using entity recognition technology, analyzes the inspection data to obtain inspection results, including inspection objects, inspection time, fault types, etc., and then converts the inspection results into structured inspection information.

[0085] The data caching unit synchronizes structured inspection information to a temporary data cache area through the data acquisition program built into the mobile device, and caches the data through wireless transmission.

[0086] The data transmission and synchronization unit acquires the contents of the temporary data cache and transmits the data to the database of the backend management system in real time through the push service, ensuring the stability of data transmission and synchronization.

[0087] The data triggering unit uses a database trigger through the backend system to monitor the arrival of new data, updates the relevant inspection status in the database, and ensures the consistency of data from each terminal, ensuring that the data of the mobile device and the backend system are always synchronized.

[0088] The event-driven architecture and preprocessing unit are described above. The backend system utilizes the event-driven architecture pattern to preprocess new data, including determining whether the inspection results meet standards based on a preset rule engine, and performing statistical analysis in the data analysis module to obtain the trend status of the inspection data. The preset rules include:

[0089] Inspection result acceptance rules: If no abnormalities or faults are found in the inspection results, the inspection result is deemed acceptable. This can be used to determine whether the inspection results meet the expected standards. Fault detection rules: Based on specific fault types or fault indicators, corresponding rules are set to determine whether faults exist. For example, if the elevator stops running or the lights are not working, it is considered a fault. Safety standard rules: Based on safety standards and regulations, corresponding rules are set to assess whether the inspection results meet safety standards. For example, if the safety door is not closed or the emergency stop button is damaged, it is considered a violation of safety regulations. Statistical analysis rules: By setting statistical rules, the trends and changes in inspection data can be analyzed. For example, based on the inspection results over a period of time, it can be determined whether the failure rate exceeds a preset threshold. Abnormal situation rules: Rules are set to identify abnormal situations in the inspection results. These can be defined based on historical data, models, or empirical knowledge. For example, if the inspection results of a certain elevator show a significant change compared to the past, it is considered an abnormal situation.

[0090] In this embodiment, the user interface module includes a real-time data display unit, a historical data query unit, and a result display and update unit. The user interface module obtains real-time data, the latest inspection reports and maintenance records, and historical data from the backend system, and then displays them to inspection personnel, maintenance personnel, and management personnel in a visual form. When incremental data is added, it updates in real time to ensure that newly generated inspection reports and maintenance records can be added to the database and the user interface can be updated in a timely manner.

[0091] The real-time data display unit obtains real-time data from the back-end system and uses data visualization technology to display the latest inspection reports and maintenance records, so that managers can check historical information at any time. These records can be presented in tabular form and provide search and filtering functions, making it easy for users to quickly find records for a specific time period or a specific elevator.

[0092] The historical data query unit allows users to view historical records. The user interface module retrieves data from the database for a specific time period using association query technology and displays it in the form of tables and charts. Inspectors and maintenance personnel can review and analyze past elevator operation data to identify abnormal operation patterns or trends.

[0093] The results display and update unit presents the dynamic monitoring results obtained by the time series analysis method in the form of charts, which helps inspection and maintenance personnel to better understand the elevator's operating status. When a new inspection report or maintenance record is generated, the user interface module applies the incremental data update method to add the new record to the database and updates the interface in real time, so that the latest inspection and maintenance information can be displayed in a timely manner.

[0094] The user interface module provides an intuitive and real-time display of elevator operating status, making it convenient for inspection personnel, maintenance personnel, and management personnel to understand the real-time and historical information of the elevator, thereby supporting decision-making and maintenance work.

[0095] In this embodiment, the remote monitoring and rapid response module includes a camera, a web terminal or mobile terminal, a control terminal, an elevator alarm button relay, and an elevator alarm button. The web terminal's management interface can manage elevators in different regions, manage multiple elevators simultaneously, and view the inspection records of each elevator, as well as the progress of today's inspection tasks.

[0096] Inspection personnel send commands to the elevator car's control terminal via a web interface. The control terminal then controls the elevator alarm button relay. When the elevator alarm button is pressed, triggering the alarm bell, a pop-up notification appears on the web or mobile app. The inspection personnel click to enter the notification window and can then initiate a two-way communication. The web interface utilizes the camera for communication, allowing remote inspection personnel to conduct a test. After the test, the test video is saved and stored on the server. The recording process ends. If the alarm bell fails to sound, a maintenance work order is issued to urge maintenance personnel to perform repairs. If network fluctuations prevent the remote web interface from controlling the elevator car terminal to send control commands to the elevator alarm button relay, a retransmission mechanism is in place. When the control terminal detects that the network is normal, it notifies the web interface that the network has been restored, allowing inspection tests to continue.

[0097] In this embodiment, the big data analysis and report generation module includes a data analysis unit, a problem classification unit, and a report generation unit.

[0098] The data analysis unit captures elevator operation performance indicators, such as operating speed, load status, and number of door opening and closing times, through a sensor network. It then uses time series analysis and other methods to conduct in-depth analysis of the inspection data to monitor the long-term trend of elevator performance.

[0099] The problem classification unit utilizes association rule mining technology to discover fault patterns, identify potential risk points in elevators, and uses a decision tree algorithm to classify elevators with problems, determine their urgency, and set maintenance priorities. Through feature extraction, including operating speed, load status, and number of door opening and closing times, the selected features are used as input and processed into a data format suitable for the decision tree algorithm. The decision tree algorithm is then used to train and build a decision tree model on the prepared data. The decision tree model associates features with their corresponding problem classification labels to form a decision tree.

[0100] The trained decision tree model is then used to classify the new elevator data. Based on the elevator's feature values, the decision tree is used to make judgments along its branch paths, ultimately determining the elevator's problem category and corresponding urgency level.

[0101] The report generation unit uses automatic document generation technology to comprehensively analyze results, maintenance suggestions, and maintenance priorities to form a targeted inspection report. The report includes a summary of the elevator's operating status, identified potential risk points, and recommended maintenance measures. Through multi-dimensional data analysis and visualization technology, the elevator's operating status is fully monitored. Managers can use these visualization tools to observe the elevator's real-time data and historical trends to assess maintenance quality and develop maintenance plans.

[0102] An interactive elevator inspection management method includes the following steps:

[0103] S1: Data collection, which acquires elevator location data, inspection task data and real-time location information of inspection personnel in real time through the data collection unit;

[0104] S2: Data integration and analysis, which integrates and analyzes data from the data collection unit, combining elevator location data, inspection task data and real-time location information of inspection personnel, and performs cleaning and preprocessing.

[0105] S3: Path planning and task allocation. Based on the received data and analysis results, determine the best inspection route and allocate tasks. Transmit the inspection route and task allocation results to the dynamic adjustment and feedback update unit.

[0106] S4: Dynamic adjustment and feedback update. Based on the real-time updates of the inspection route and task allocation results, the inspection route is dynamically adjusted and feedback updates are performed. Inspection personnel execute tasks according to the updated inspection route and report the results back to the system.

[0107] S5: Mobile device inspection and data transmission. Inspection personnel use mobile devices to conduct inspections, record inspection results, and transmit data to the back-end system in real time.

[0108] S6: Big data analysis and report generation, using inspection data for processing and analysis to generate inspection reports and maintenance suggestions;

[0109] S7: User interface display and updates. It retrieves real-time data, inspection reports, and maintenance records from the backend system and presents them to inspection personnel, maintenance personnel, and management personnel in a visual format, and updates them in real time.

[0110] S8: Remote monitoring and rapid response. It monitors the elevator status in real time through IoT technology, transmits abnormal situations to the back-end system, and triggers alarms and notifications to notify inspection and maintenance personnel to handle the situation.

[0111] Through the synergistic effect of the intelligent scheduling algorithm module, mobile device and real-time data transmission module, user interface module, remote monitoring and rapid response module, and big data analysis and report generation module, intelligent management of elevator inspection is realized. This includes optimizing inspection route planning, real-time data transmission, user interface display, remote monitoring and rapid response, as well as inspection data analysis and report generation. This can improve inspection efficiency, accuracy and safety, and provide decision support and maintenance suggestions for managers.

[0112] Example 2

[0113] This embodiment provides an interactive elevator inspection management system, including a remote inspection module, a video communication module, a management and monitoring module, an inspection operation module, and a fault handling module.

[0114] The remote inspection module captures video image data inside the elevator through a camera. After processing and compression, the video data is transmitted to the control terminal for storage and real-time monitoring. Then, instructions are sent via the web interface. Inspection personnel send instructions to the control terminal of the elevator car through the web interface to realize remote operation and control. The control terminal is responsible for receiving and executing the instructions sent from the web interface, controlling the relay to activate the elevator alarm button, and realizing the remote alarm function.

[0115] The video communication module enables two-way communication via web-based access to the camera, allowing remote inspection personnel to conduct communication tests and improve communication efficiency and accuracy. The test videos are then stored on the server to record the inspection process, providing a basis for subsequent review and analysis.

[0116] The management and monitoring module includes a web-based monitoring interface, which manages elevators in different regions and controls multiple elevators simultaneously, improving the convenience and efficiency of elevator management. It allows users to view the inspection records and current progress of each elevator inspection task, helping to monitor inspection quality and efficiency and keep track of inspection progress and completion status in real time.

[0117] The inspection operation module provides a user-friendly interface for elevator inspection operations, simplifying the operation process and improving operational efficiency.

[0118] The fault handling module triggers the alarm button to conduct intercom tests and record the results, quickly responding to potential faults and ensuring timely handling. It then generates a maintenance work order to urge maintenance personnel to carry out repairs, improving the efficiency and timeliness of fault handling. When network fluctuations cause control command transmission failures, the control terminal resends the commands after detecting that the network is normal, ensuring the smooth progress of inspection operations and enhancing the stability and reliability of the system.

[0119] The triggering alarm includes:

[0120] In case of fire or smoke, passengers can trigger the alarm to request rescue if there is a fire or smoke inside or around the elevator. Passengers can also trigger the alarm to seek help if they perceive danger or threat inside the elevator.

[0121] In case of equipment failure, when the elevator stops running, gets stuck, or experiences other malfunctions, passengers can trigger the alarm bell to notify relevant personnel for handling. If the elevator door malfunctions and cannot be opened or closed normally, passengers can request maintenance or rescue through the alarm bell.

[0122] In remote control mode, inspection personnel can send commands to the elevator car's control terminal via a web interface. The control terminal includes a micro-current sensor. The remote control terminal controls a relay to operate. The micro-current sensor detects a change in current at the elevator alarm control button, confirming that the alarm has been pressed. The control terminal then sends a trigger signal, which is received by the web or mobile device and sends an alarm message. Alternatively, when the elevator alarm button is pressed, the same micro-current sensor detects a change in current at the button, triggering a trigger signal. The web or mobile device receives this signal and sends an alarm message. Upon receiving the trigger signal and alarm message, a pop-up window alerts the inspection personnel to an emergency. After receiving the pop-up alert, the personnel click on it to proceed. The system interface allows users to view detailed alarm information and perform further operations. Within the interface, patrol personnel can click the "Initiate Intercom" button to trigger the system to use the cameras for two-way communication. The web interface will access the elevator's internal cameras or surrounding surveillance cameras to ensure smooth and accurate real-time video communication. Through the camera's video transmission and audio functions, patrol personnel and remote patrol personnel can conduct two-way communication, enabling both voice and video calls. During the intercom, patrol personnel and remote patrol personnel can perform intercom tests to confirm normal communication and exchange necessary information and instructions. The system can achieve rapid response and intercom functionality after the alarm is triggered, ensuring timely communication and collaboration between patrol personnel and remote patrol personnel, and recording important intercom conversations for subsequent processing and analysis.

[0123] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. An interactive elevator inspection management system, characterized in that: It includes an intelligent scheduling algorithm module, a mobile device and real-time data transmission module, a user interface module, a remote monitoring and rapid response module, and a big data analysis and report generation module. The intelligent scheduling algorithm module communicates bidirectionally with the mobile device and the real-time data transmission module. The intelligent scheduling algorithm module transmits the inspection task and route information to the mobile device, enabling the inspection personnel to receive the inspection objectives and carry out the inspection. The inspection personnel collect real-time data through the mobile device. The mobile device and real-time data transmission module communicate bidirectionally with the user interface module. The mobile device and real-time data transmission module transmit inspection results and abnormal situation data back to the back-end system in real time. The user interface module obtains inspection results and elevator status data by accessing the back-end system interface, which can be viewed in real time by inspection personnel, maintenance personnel and management personnel. The remote monitoring and rapid response module monitors the elevator's status in real time through IoT technology, transmits the elevator's real-time operating data and abnormal situations to the back-end system, and triggers alarms and notifications to notify inspection and maintenance personnel to handle the situation. The big data analysis and report generation module communicates with the backend system in a one-way manner. The big data analysis and report generation module obtains inspection data by accessing the interface of the backend system, processes and analyzes the data, and generates and stores the analysis results and reports in the backend system.

2. The interactive elevator inspection management system according to claim 1, characterized in that: The intelligent scheduling algorithm module uses an intelligent scheduling algorithm to optimize the route planning of inspection personnel. By combining the elevator location, inspection tasks and the real-time location information of the inspection personnel, the shortest path is determined and assigned to the inspection personnel. The mobile device and real-time data transmission module enable inspection personnel to use the mobile device for inspection, allowing inspection information to be updated and shared immediately. Inspection personnel record inspection results through the mobile device and transmit the data to the backend system in real time. The user interface module provides a user-friendly interface that allows inspectors, maintenance personnel, and managers to view the elevator's status and inspection history in real time, and to view the elevator's real-time operating data, inspection reports, and maintenance records through the interface. The remote monitoring and rapid response module uses Internet of Things (IoT) technology to monitor the elevator's status in real time and immediately notify inspection and maintenance personnel when an anomaly is detected. The big data analysis and report generation module uses big data analysis technology to process and analyze inspection data, enabling managers to identify problematic elevators and monitor maintenance quality, and generate inspection reports and maintenance suggestions.

3. The interactive elevator inspection management system according to claim 1, characterized in that: The intelligent scheduling algorithm module includes a data collection unit, a data integration and analysis unit, a path planning and task allocation unit, and a dynamic adjustment and feedback update unit. The data collection unit is responsible for acquiring elevator location data, inspection task data, and real-time location information of inspection personnel in real time, and transmitting this data to the data integration and analysis unit. This data includes elevator location and motion status data, inspection task data to be executed, and real-time location information of inspection personnel. The data integration and analysis unit receives data from the data collection unit, integrates and analyzes it, and then transmits the integrated data to the path planning and task allocation unit. The path planning and task allocation unit determines the optimal inspection route and allocates tasks based on the received data and analysis results, and then transmits the inspection route and task allocation results to the dynamic adjustment and feedback update unit.

4. The interactive elevator inspection management system according to claim 1, characterized in that: The data collection unit acquires the elevator's position and motion status in real time by installing sensors in the elevator, and converts the physical signals into digital signals. At the same time, the inspection task allocation system records detailed information of the inspection tasks, and the inspection personnel positioning system acquires the location information of the inspection personnel in real time. The data integration and analysis involves the backend system cleaning and preprocessing elevator location data, inspection task data, and real-time location information of inspection personnel. This cleaned and preprocessed data is then integrated into a comprehensive dataset based on the data's correlation fields. These correlation fields are then used to link and match the elevator location data, inspection task data, and real-time location information of inspection personnel, establishing relationships between elevators, inspection tasks, and inspection personnel. Finally, machine learning is used to analyze the integrated data, allowing for real-time acquisition of the current elevator location, the list of elevators awaiting inspection, and the location information of inspection personnel. The path planning and task allocation unit combines elevator location data, inspection task data, and real-time location information of inspection personnel, and uses a path planning algorithm to determine the optimal inspection route. Based on the elevator location data and the real-time location information of inspection personnel, it calculates the weight of the location of each elevator and the location of the inspection personnel. Inspection personnel who are closer to the inspection personnel or closer to the elevator to be inspected will receive higher weights. Then, the inspection task is assigned to the nearest and available inspection personnel, giving priority to the inspection personnel who match the task. The dynamic adjustment and feedback update unit dynamically adjusts the inspection route in the event of an emergency or task update by updating real-time data. After the inspection personnel perform the inspection task according to the new route, the unit obtains the result feedback from the inspection personnel and updates the path planning based on this feedback. Then, based on the optimal path and the real-time location of the inspection personnel, the unit assigns the inspection task to the nearest and available inspection personnel and responds to and handles abnormal situations in a timely manner.

5. The interactive elevator inspection management system according to claim 1, characterized in that: The mobile device and real-time data transmission module include a natural language processing unit, a data caching unit, a data transmission and synchronization unit, a data triggering unit, an event-driven architecture, and a preprocessing unit. The natural language processing unit acquires data from the data collection unit, and transmits the parsed structured inspection information to the data acquisition and caching unit. Subsequently, the data transmission and synchronization unit transmits the data to the backend system in real time. In the backend system, the data triggering unit ensures the consistency and updating of the data. The natural language processing unit, on the mobile device, performs real-time parsing of inspection data using natural language processing technology, identifies entities in the inspection data using entity recognition technology, analyzes the inspection data to obtain inspection results, and then converts the inspection results into structured inspection information. The data caching unit synchronizes structured inspection information to a temporary data cache area through the data acquisition program built into the mobile device, and caches the data through wireless transmission. The data transmission and synchronization unit acquires the contents of the temporary data cache and transmits the data to the database of the backend management system in real time through the push service; The data triggering unit uses a database trigger through the backend system to monitor the arrival of new data, updates the relevant inspection status in the database, and ensures the consistency of data across all terminals. The event-driven architecture and preprocessing unit are described. The backend system uses the event-driven architecture pattern to preprocess new data, including judging whether the inspection results meet the standards according to the preset rule engine, and performing statistical analysis in the data analysis module to obtain the trend status of the inspection data.

6. The interactive elevator inspection management system according to claim 1, characterized in that: The user interface module includes a real-time data display unit, a historical data query unit, and a result display and update unit. The user interface module obtains real-time data, the latest inspection reports and maintenance records, as well as historical data from the backend system, and then displays them in a visual form to inspection personnel, maintenance personnel, and management personnel. When incremental data is added, it updates in real time to ensure that newly generated inspection reports and maintenance records can be added to the database and the user interface can be updated in a timely manner. The real-time data display unit obtains real-time data from the back-end system and uses data visualization technology to display the latest inspection reports and maintenance records in tabular form, and provides search and filtering functions to make it easy for users to quickly find records for a specific time period or a specific elevator. The historical data query unit allows users to view historical records. The user interface module retrieves data from the database for a specific time period using association query technology and displays it in the form of tables and charts. Inspection and maintenance personnel can review and analyze past elevator operation data. The results display and update unit presents the dynamic monitoring results obtained by the time series analysis method in the form of charts, which helps inspection and maintenance personnel to better understand the elevator's operating status. When a new inspection report or maintenance record is generated, the user interface module applies the incremental data update method to add the new record to the database and updates the interface in real time, so that the latest inspection and maintenance information can be displayed in a timely manner.

7. The interactive elevator inspection management system according to claim 1, characterized in that: The remote monitoring and rapid response module includes a camera, a web or mobile terminal, a control terminal, an elevator alarm button relay, and an elevator alarm button. The web terminal's management interface can manage elevators in different regions, manage multiple elevators simultaneously, and query the inspection records of each elevator, as well as the progress of today's inspection tasks. Inspection personnel send commands to the elevator car's control terminal via a web interface. The control terminal then controls the elevator alarm button relay. When the elevator alarm button is pressed, triggering the alarm bell, a pop-up notification appears on the web or mobile app. The inspection personnel click to enter the notification window and then initiate a two-way communication. The web interface uses the camera for communication, allowing remote inspection personnel to test the communication. After the test, the test video is saved and stored on the server. The recording process ends. If the alarm bell fails to sound, a maintenance work order is issued to urge maintenance personnel to perform repairs. If network fluctuations prevent the remote web interface from controlling the elevator car terminal to send control commands to the elevator alarm button relay, a retransmission mechanism is in place. When the control terminal detects that the network is normal, it notifies the web interface that the network has been restored, allowing the inspection test to proceed again.

8. An interactive elevator inspection management system according to claim 1, characterized in that: The big data analysis and report generation module includes a data analysis unit, a problem classification unit, and a report generation unit. The data analysis unit captures elevator operation performance indicators through a sensor network and uses time-series analysis methods to conduct in-depth analysis of the inspection data in order to monitor the long-term trend of elevator performance. The problem classification unit utilizes association rule mining technology to discover fault patterns, identify potential risk points in elevators, and uses a decision tree algorithm to classify elevators with problems, determine their urgency, and set maintenance priority. Through feature extraction, selected features are used as input and organized into a data format suitable for the decision tree algorithm. The decision tree algorithm is then used to train and build a decision tree model on the prepared data. The decision tree model associates features with their corresponding problem classification labels to form a decision tree. The trained decision tree model is then used to classify the new elevator data. Based on the elevator's feature values, the decision tree is used to make judgments along its branch paths, ultimately determining the elevator's problem category and corresponding urgency level. The report generation unit uses automatic document generation technology to comprehensively analyze results, maintenance suggestions, and maintenance priorities to generate targeted inspection reports. Through multi-dimensional data analysis and visualization technology, it can comprehensively monitor the elevator's operating status.

9. An interactive elevator inspection management method, characterized in that: Includes the following steps: S1: Data collection, which acquires elevator location data, inspection task data and real-time location information of inspection personnel in real time through the data collection unit; S2: Data integration and analysis, which integrates and analyzes data from the data collection unit, combining elevator location data, inspection task data and real-time location information of inspection personnel, and performs cleaning and preprocessing. S3: Path planning and task allocation. Based on the received data and analysis results, determine the best inspection route and allocate tasks. Transmit the inspection route and task allocation results to the dynamic adjustment and feedback update unit. S4: Dynamic adjustment and feedback update. Based on the real-time updates of the inspection route and task allocation results, the inspection route is dynamically adjusted and feedback updates are performed. Inspection personnel execute tasks according to the updated inspection route and report the results back to the system. S5: Mobile device inspection and data transmission. Inspection personnel use mobile devices to conduct inspections, record inspection results, and transmit data to the back-end system in real time. S6: Big data analysis and report generation, using inspection data for processing and analysis to generate inspection reports and maintenance suggestions; S7: User interface display and updates. It retrieves real-time data, inspection reports, and maintenance records from the backend system and presents them to inspection personnel, maintenance personnel, and management personnel in a visual format, and updates them in real time. S8: Remote monitoring and rapid response. It monitors the elevator status in real time through IoT technology, transmits abnormal situations to the back-end system, and triggers alarms and notifications to notify inspection and maintenance personnel to handle the situation.

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