An elevator module power failure alarm method and device, electronic equipment and storage medium

Abstract

The application provides an elevator module power-off alarm method and device, electronic equipment and storage medium. The method comprises the following steps: collecting the main power supply voltage of the elevator module, and monitoring the voltage change rate of the standby energy storage unit; determining the power-off confidence according to the main power supply voltage and the voltage change rate; activating the hierarchical hibernation sequence according to the power-off confidence; based on the hierarchical hibernation sequence, calling the pre-stored elevator position code and elevator identity code, and establishing a communication link with the cloud through the 4G module; combining the elevator operation state log to generate a diagnostic code containing fault cause probability analysis; encapsulating the elevator identity code, the diagnostic code and the timestamp into a digitally signed data packet, and uploading it to the cloud through the communication link; analyzing the data packet, matching the geographic location database, generating an elevator location alarm map with fault confidence and pushing it to the operation and maintenance terminal. The application can intelligently diagnose the power-off cause, accurately locate the fault position and timely notify the operation and maintenance personnel, thereby improving the safety and operation and maintenance efficiency of the elevator system.

Description

Technical Field

[0001] This application relates to the field of elevator safety monitoring technology, and in particular to an elevator module power failure alarm method, device, electronic equipment and storage medium. Background Technology

[0002] Elevators, as indispensable vertical transportation tools in modern buildings, are crucial for their safe and stable operation. However, elevator systems may face various malfunction risks during daily operation, with sudden power outages being a common but extremely dangerous situation. Traditional elevator power outage handling methods mainly rely on backup power supplies or mechanical braking devices. While these measures can ensure passenger safety to a certain extent, they have significant limitations. First, traditional methods lack effective remote alarm mechanisms. When a power outage causes the elevator to stop, maintenance personnel often cannot obtain the specific situation in a timely manner and can only rely on manual reports or periodic inspections. This not only delays rescue time but may also lead to passengers being trapped for extended periods, causing serious safety accidents. Second, existing technology cannot accurately determine the cause of a power outage. Maintenance personnel need to spend a significant amount of time troubleshooting after arriving on-site, resulting in low efficiency and high costs. Furthermore, traditional power outage detection methods often use simple voltage threshold comparisons, which are prone to false alarms due to voltage fluctuations or transient interference, reducing system reliability.

[0003] With the development of IoT technology, some new elevator monitoring systems have begun to incorporate remote communication capabilities, but these systems still have significant shortcomings. For example, some systems cannot maintain sufficient power supply to the communication module after a power outage, leading to interruption of information transmission; other systems, while capable of sending alarm messages, provide overly simplistic content, containing only basic status information and lacking in-depth analysis of the cause of the fault. More importantly, existing solutions typically do not consider the correlation between the electrical characteristics at the moment of power outage and the elevator's operating status, failing to distinguish between different types of faults such as mains power interruption, equipment short circuits, or overload protection. This results in a lack of effective data support for maintenance decisions. Therefore, there is an urgent need for a complete solution capable of intelligently diagnosing the cause of a power outage, accurately locating the fault, and promptly notifying maintenance personnel to improve the safety and operational efficiency of elevator systems. Summary of the Invention

[0004] In view of this, embodiments of this application provide an elevator module power failure alarm method, device, electronic device and storage medium to solve the problem in the prior art that it is impossible to identify elevator power failure faults and locate the cause of the fault in a timely manner.

[0005] A first aspect of this application provides a method for alarming power failure of an elevator module, the method comprising:

[0006] Collect the main power supply voltage of the elevator module and monitor the voltage change rate of the backup energy storage unit.

[0007] Determine the power outage confidence level based on the main power supply voltage and voltage change rate;

[0008] Based on the power outage confidence level, activate the hierarchical sleep sequence;

[0009] Based on the hierarchical sleep sequence, the pre-stored elevator position code and elevator identification code are invoked, and a communication link with the cloud is established through the 4G module;

[0010] By combining the elevator operation status log, a diagnostic code containing a probability analysis of fault causes is generated;

[0011] The elevator identification code, diagnostic code, and timestamp are encapsulated into a digitally signed data packet and uploaded to the cloud via a communication link;

[0012] Parse the data packets, match them with the geographic location database, generate an elevator location alarm map with fault confidence, and push it to the operation and maintenance terminal.

[0013] A second aspect of this application provides an elevator module power failure alarm device, comprising:

[0014] The data acquisition and monitoring module is used to acquire the main power supply voltage of the elevator module and monitor the voltage change rate of the backup energy storage unit.

[0015] The power failure confidence determination module is used to determine the power failure confidence based on the main power supply voltage and voltage change rate.

[0016] A hierarchical sleep sequence determination module is used to activate the hierarchical sleep sequence based on the power outage confidence level.

[0017] The communication link establishment module is used to establish a communication link with the cloud by calling the pre-stored elevator position code and elevator identification code based on the hierarchical sleep sequence and through the 4G module.

[0018] The diagnostic code generation module is used to generate diagnostic codes that include a probability analysis of fault causes by combining the elevator operation status log;

[0019] The cloud upload module is used to encapsulate the elevator identification code, diagnostic code, and timestamp into a digitally signed data packet and upload it to the cloud via the communication link;

[0020] The push module is used to parse data packets, match them with the geographic location database, generate an elevator location alarm map with fault confidence, and push it to the operation and maintenance terminal.

[0021] A third aspect of this application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described method.

[0022] A fourth aspect of this application provides a readable storage medium storing a computer program that, when executed by a processor, implements the steps of the above-described method.

[0023] The beneficial effects of this application embodiment compared with the prior art are as follows: This application embodiment collects the main power supply voltage of the elevator module and monitors the voltage change rate of the backup energy storage unit; determines the power outage confidence level based on the main power supply voltage and voltage change rate; activates a hierarchical sleep sequence based on the power outage confidence level; based on the hierarchical sleep sequence, calls the pre-stored elevator location code and elevator identification code, and establishes a communication link with the cloud through the 4G module; combines the elevator operation status log to generate a diagnostic code containing fault cause probability analysis; encapsulates the elevator identification code, diagnostic code, and timestamp into a digitally signed data packet, and uploads it to the cloud via the communication link; parses the data packet, matches it with the geographic location database, generates an elevator location alarm map with fault confidence level, and pushes it to the operation and maintenance terminal. This application, by introducing a dual-signal collaborative detection mechanism (main power supply voltage + voltage change rate) and confidence level judgment, realizes multi-dimensional and cross-validation of power outage events, greatly improving the accuracy and reliability of power outage fault identification, and fundamentally eliminating false alarms and missed alarms. The hierarchical sleep sequence achieves maximum information transmission guarantee under extreme energy constraints, greatly improving emergency response efficiency and the scientific nature of resource scheduling. It can intelligently diagnose the cause of power outages, accurately locate the fault location, and promptly notify maintenance personnel, thereby improving the safety and maintenance efficiency of elevator systems. Attached Figure Description

[0024] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0025] Figure 1 This is a schematic diagram illustrating an application scenario of this application embodiment;

[0026] Figure 2 This is a flowchart illustrating a power failure alarm method for an elevator module provided in an embodiment of this application;

[0027] Figure 3 This is a schematic diagram of an elevator module power failure alarm device provided in an embodiment of this application;

[0028] Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0029] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0030] Elevators, as indispensable vertical transportation tools in modern buildings, are crucial for their safe and stable operation. However, elevator systems may face various malfunction risks during daily operation, with sudden power outages being a common but extremely dangerous situation. Traditional elevator power outage handling methods mainly rely on backup power supplies or mechanical braking devices. While these measures can ensure passenger safety to a certain extent, they have significant limitations. First, traditional methods lack effective remote alarm mechanisms. When a power outage causes the elevator to stop, maintenance personnel often cannot obtain the specific situation in a timely manner and can only rely on manual reports or periodic inspections. This not only delays rescue time but may also lead to passengers being trapped for extended periods, causing serious safety accidents. Second, existing technology cannot accurately determine the cause of a power outage. Maintenance personnel need to spend a significant amount of time troubleshooting after arriving on-site, resulting in low efficiency and high costs. Furthermore, traditional power outage detection methods often use simple voltage threshold comparisons, which are prone to false alarms due to voltage fluctuations or transient interference, reducing system reliability.

[0031] With the development of IoT technology, some new elevator monitoring systems have begun to incorporate remote communication capabilities, but these systems still have significant shortcomings. For example, some systems cannot maintain sufficient power supply to the communication module after a power outage, leading to interruption of information transmission; other systems, while capable of sending alarm messages, provide overly simplistic content, containing only basic status information and lacking in-depth analysis of the cause of the fault. More importantly, existing solutions typically do not consider the correlation between the electrical characteristics at the moment of power outage and the elevator's operating status, failing to distinguish between different types of faults such as mains power interruption, equipment short circuits, or overload protection. This results in a lack of effective data support for maintenance decisions. Therefore, there is an urgent need for a complete solution capable of intelligently diagnosing the cause of a power outage, accurately locating the fault, and promptly notifying maintenance personnel to improve the safety and operational efficiency of elevator systems.

[0032] In view of the problems in the prior art, this application provides a novel elevator module power failure alarm method. This method involves collecting the main power supply voltage of the elevator module and simultaneously monitoring the voltage change rate of the backup energy storage unit; determining the power failure confidence level based on the main power supply voltage and voltage change rate; activating a hierarchical sleep sequence based on the power failure confidence level; calling the pre-stored elevator location code and elevator identification code based on the hierarchical sleep sequence and establishing a communication link with the cloud via a 4G module; generating a diagnostic code containing a probability analysis of fault causes by combining the elevator operation status log; encapsulating the elevator identification code, diagnostic code, and timestamp into a digitally signed data packet and uploading it to the cloud via the communication link; parsing the data packet, matching it with a geographic location database, generating an elevator location alarm map with fault confidence level, and pushing it to the maintenance terminal. This application, by introducing a dual-signal collaborative detection mechanism (main power supply voltage + voltage change rate) and confidence level judgment, achieves multi-dimensional and cross-validation of power failure events, greatly improving the accuracy and reliability of power failure fault identification and fundamentally eliminating false alarms and missed alarms. By utilizing a tiered sleep sequence, maximum information transmission is ensured under extreme energy constraints, significantly improving emergency response efficiency and the scientific nature of resource scheduling. It can intelligently diagnose the cause of power outages, accurately locate fault positions, and promptly notify maintenance personnel, thereby enhancing the safety and operational efficiency of the elevator system.

[0033] The following will describe in detail, with reference to the accompanying drawings, an elevator module power failure alarm method and device according to an embodiment of this application.

[0034] Figure 1 This is a schematic diagram illustrating an application scenario according to an embodiment of this application. The application scenario may include terminal devices 101, 102, and 103, server 104, and network 105.

[0035] Terminal devices 101, 102, and 103 can be hardware or software. When terminal devices 101, 102, and 103 are hardware, they can be various electronic devices with displays that support communication with server 104, including but not limited to smartphones, tablets, laptops, and desktop computers. When terminal devices 101, 102, and 103 are software, they can be installed in the aforementioned electronic devices. Terminal devices 101, 102, and 103 can be implemented as multiple software programs or software modules, or as a single software program or software module; this application embodiment does not impose any limitations on this. Furthermore, various applications can be installed on terminal devices 101, 102, and 103, such as data processing applications, instant messaging tools, social platform software, search applications, shopping applications, etc.

[0036] Server 104 can be a server that provides various services, such as a backend server that receives requests sent by terminal devices with which it has established communication connections. This backend server can receive and analyze the requests sent by the terminal devices and generate processing results. Server 104 can be a single server, a server cluster consisting of several servers, or a cloud computing service center. This application embodiment does not limit this.

[0037] It should be noted that server 104 can be either hardware or software. When server 104 is hardware, it can be various electronic devices that provide various services to terminal devices 101, 102, and 103. When server 104 is software, it can be multiple software programs or software modules that provide various services to terminal devices 101, 102, and 103, or it can be a single software program or software module that provides various services to terminal devices 101, 102, and 103. This application embodiment does not impose any limitations on this.

[0038] Network 105 can be a wired network using coaxial cable, twisted pair, and fiber optic connection, or it can be a wireless network that enables interconnection of various communication devices without wiring, such as Bluetooth, Near Field Communication (NFC), and Infrared. This application embodiment does not limit this.

[0039] Users can establish a communication connection with server 104 via network 105 through terminal devices 101, 102, and 103 to receive or send information. Specifically, server 104 collects the main power supply voltage of the elevator module and monitors the voltage change rate of the backup energy storage unit; it determines the power outage confidence level based on the main power supply voltage and voltage change rate; it activates a hierarchical sleep sequence based on the power outage confidence level; based on the hierarchical sleep sequence, server 104 calls the pre-stored elevator location code and elevator identification code, and establishes a communication link with the cloud through the 4G module; it generates a diagnostic code containing a probability analysis of fault causes by combining the elevator operation status log; server 104 encapsulates the elevator identification code, diagnostic code, and timestamp into a digitally signed data packet and uploads it to the cloud via the communication link; server 104 parses the data packet, matches it with the geographic location database, generates an elevator location alarm map with fault confidence level, and pushes it to the operation and maintenance terminal.

[0040] It should be noted that the specific types, quantities, and combinations of terminal devices 101, 102, and 103, server 104, and network 105 can be adjusted according to the actual needs of the application scenario, and this application embodiment does not impose any restrictions on this.

[0041] Figure 2This is a flowchart illustrating a power failure alarm method for an elevator module provided in an embodiment of this application. Figure 2 The elevator module power failure alarm method can be provided by Figure 1 The terminal device or server executes the command. For example... Figure 2 As shown, the power failure alarm method for this elevator module includes:

[0042] S201, collects the main power supply voltage of the elevator module, and monitors the voltage change rate of the backup energy storage unit at the same time;

[0043] S202, determine the power outage confidence level based on the main power supply voltage and voltage change rate;

[0044] S203, based on the power failure confidence level, activate the hierarchical sleep sequence;

[0045] S204, based on the hierarchical sleep sequence, calls the pre-stored elevator position code and elevator identification code, and establishes a communication link with the cloud through the 4G module;

[0046] S205, combined with the elevator operation status log, generates a diagnostic code that includes a probability analysis of fault causes;

[0047] S206 encapsulates the elevator identification code, diagnostic code, and timestamp into a digitally signed data packet, which is then uploaded to the cloud via a communication link;

[0048] S207 parses the data packet, matches it with the geographic location database, generates an elevator location alarm map with fault confidence, and pushes it to the operation and maintenance terminal.

[0049] Specifically, in this step of this embodiment, the main power supply voltage refers to the AC power supply network voltage connected to the elevator control system, typically 220V or 380V AC, which is the energy source for the normal operation of the elevator module. The backup energy storage unit usually uses a large-capacity supercapacitor or lithium battery pack, its function being to provide emergency power when the main power supply is interrupted. The voltage change rate refers to the rate of change of the backup energy storage unit's output voltage over time, measured in V / s, reflecting the discharge characteristics of the backup energy storage unit. The reason for collecting these two types of signals is that a single voltage signal may lead to misjudgment due to line interference or detection circuit failure, while dual-signal collaborative detection can greatly improve reliability. For example, when the main power supply voltage temporarily drops due to a momentary surge, if the backup unit's voltage change rate remains stable, it indicates that there is no real power outage, thus avoiding false alarms. The core problem to be solved in this step is to eliminate interference from instantaneous voltage fluctuations and accurately identify real power outage events. By monitoring the status of the two independent systems—the main power supply and the backup energy storage unit—the system can obtain more comprehensive power supply information. This can significantly improve the accuracy of power outage detection and provide a reliable data foundation for subsequent processing.

[0050] Furthermore, power outage confidence is a core concept of this solution. It is a quantitative indicator used to assess the credibility of a power outage event, categorized into high, medium, and low levels. The reason for setting multiple confidence levels is that different fault scenarios require different response strategies. For example, when the main power supply voltage is below a threshold but the capacitor discharges slowly, it may indicate a fault in the detection circuit rather than a genuine power outage, requiring auxiliary verification. This tiered judgment mechanism solves the problem of the traditional "one-size-fits-all" approach, avoiding system malfunctions caused by a single sensor failure. In practical applications, high-confidence power outage events immediately trigger an emergency response, while medium-confidence events initiate a verification procedure. This ensures both rapid response in the event of a genuine power outage and prevents resource waste caused by false alarms.

[0051] Furthermore, the tiered sleep sequence is a predefined power management strategy, including two main states: minimum power consumption mode and diagnostic enhancement mode. In minimum power consumption mode, the system only maintains power to the 4G communication module and core processing unit, shutting down all non-essential functions. In diagnostic enhancement mode, in addition to maintaining communication, the fault diagnosis unit is kept running to collect more analytical data. The reason for activating different modes is to allocate limited backup power according to the event confidence level. High-confidence events require maximizing communication time, while medium-confidence events require additional power for in-depth diagnostics. This step solves the key technical problem of optimizing power allocation after a power outage. Traditional solutions either maintain all functions, leading to rapid power depletion, or completely shut down, missing critical data acquisition. This solution, through intelligent power management, can extend the system uptime by more than 40% with the same capacitor capacity. For example, in a typical scenario, 10 seconds of backup power can keep the 4G module running continuously during high-confidence events, while in medium-confidence events requiring diagnostics, 7 seconds are allocated for communication and 3 seconds for in-depth data acquisition, maximizing energy efficiency.

[0052] Furthermore, the pre-stored elevator location code is geographical location information pre-stored in the device, typically including precise location data such as latitude and longitude coordinates, building number, and unit number. The elevator identification code is a unique identifier for the device, similar to an ID card number. The process of establishing a communication link includes multiple sub-steps such as network registration, authentication, data encryption, and connection establishment. This step solves the key problem of identification and location in the event of a power outage. Traditional solutions often require maintenance personnel to check the device number on-site, which is inefficient. This solution, by automatically transmitting identification and location information, enables the maintenance center to immediately know which elevator malfunctioned and where. For example, when an elevator in a shopping mall loses power, the system will not only send a simple "elevator malfunction" message but also clearly identify "Elevator No. 2, Building B, XX Shopping Mall," allowing maintenance personnel to go directly to the designated location, saving significant troubleshooting time. In some cases, this embodiment employs a dual-link design, ensuring information transmission via satellite channels even in areas with 4G signal coverage blind spots, greatly improving communication reliability.

[0053] Furthermore, the elevator operation status log records the elevator's operating parameters for a period of time before the power outage, including load, direction of travel, speed, and door status. Fault cause probability analysis refers to the quantitative assessment of the likelihood of different fault causes (such as mains power outage, equipment short circuit, and overload protection) based on multiple data features. Diagnostic codes are compact data formats that encode the analysis results, facilitating transmission and parsing. The generation process includes feature extraction, pattern matching, and probability calculation. This step solves the problem of root cause analysis. Traditional solutions can only indicate "a power outage occurred" but cannot explain "why the power outage occurred." This solution, through multi-dimensional data analysis, can distinguish between faults of different natures. For example, when a sharp increase in current accompanied by high-frequency noise is detected at the moment of power outage, while the elevator is stationary, the system will determine that a short circuit is highly likely; while when the voltage drops slowly and the current is normal, and the elevator is running, it may be determined to be a mains power problem. This intelligent diagnosis allows maintenance personnel to prepare appropriate tools and spare parts in advance, reducing the average repair time by more than 50%.

[0054] Furthermore, digital signatures are an encryption technology used to ensure the integrity and authenticity of data and prevent tampering during transmission. Timestamps record the precise time of an event, aiding in post-event analysis and accountability. Data packet encapsulation is the process of combining various types of information according to a predetermined format, including data compression, encryption, and error correction coding. Segmented transmission and acknowledgment / retransmission mechanisms are used during the upload process to ensure reliable data delivery. This step addresses the security and integrity issues of information transmission. Traditional solutions often use plaintext transmission, which carries the risk of tampering or forgery. This embodiment uses digital signature technology to ensure the authenticity and reliability of data received in the cloud. For example, the system uses the device's private key to sign the data packet, and the cloud verifies it using a pre-stored public key; any tampering will result in verification failure. Timestamp information also helps maintenance personnel accurately understand the time of events, which is of significant value for analyzing power grid quality or equipment operating trends. With compression and error correction technologies, even under poor network conditions, the successful transmission of critical information can be guaranteed.

[0055] Furthermore, the geographic location database is an elevator information repository stored in the cloud, containing detailed installation locations and surrounding environmental information for each elevator. Fault confidence here refers to the cloud's assessment of the credibility of information reported by the terminal, combined with historical data for comprehensive judgment. The alarm map is a visual display of fault information on the geographic information system, supporting multiple layers and filtering functions. Maintenance terminals include various receiving devices such as computer workstations and mobile devices, supporting multiple notification methods such as voice, SMS, and application push. This step solves the problems of information overload and prioritization in massive elevator monitoring. In traditional solutions, maintenance personnel may receive a large number of alarms simultaneously, making it difficult to quickly identify the most urgent events. This solution uses a visual map and confidence level labeling to highlight important events. For example, in a monitoring center of a large residential area, different colors are used to mark faults of different urgency levels on the map: red indicates a high-confidence power outage, and yellow indicates events requiring verification. Maintenance personnel can clearly see the points that need priority handling and allocate resources rationally. In some cases, this embodiment also supports automatic dispatching, which directly assigns tasks to the most suitable maintenance team based on the location and type of the fault, further improving response efficiency.

[0056] According to the technical solution provided in this application, the main power supply voltage of the elevator module is collected, and the voltage change rate of the backup energy storage unit is monitored simultaneously. The power outage confidence level is determined based on the main power supply voltage and voltage change rate. A hierarchical sleep sequence is activated based on the power outage confidence level. Based on the hierarchical sleep sequence, the pre-stored elevator location code and elevator identification code are invoked, and a communication link with the cloud is established via a 4G module. A diagnostic code containing a probability analysis of fault causes is generated by combining the elevator operation status log. The elevator identification code, diagnostic code, and timestamp are encapsulated into a digitally signed data packet and uploaded to the cloud via the communication link. The data packet is parsed, matched with a geographic location database, and an elevator location alarm map with fault confidence level is generated and pushed to the operation and maintenance terminal. This application, by introducing a dual-signal collaborative detection mechanism (main power supply voltage + voltage change rate) and confidence level judgment, achieves multi-dimensional and cross-validation of power outage events, greatly improving the accuracy and reliability of power outage fault identification and fundamentally eliminating false alarms and missed alarms. The hierarchical sleep sequence maximizes information transmission assurance under extreme energy constraints, greatly improving emergency response efficiency and the scientific nature of resource scheduling. It can intelligently diagnose the cause of power outages, accurately locate the fault location, and promptly notify maintenance personnel, thereby improving the safety and maintenance efficiency of elevator systems.

[0057] In some embodiments, determining the power outage confidence level based on the main power supply voltage and the rate of voltage change includes:

[0058] When the main power supply voltage is lower than the first threshold, the primary power failure flag is triggered;

[0059] When the voltage change rate exceeds the second threshold, the primary power failure flag is valid, the power failure confidence level is set to high, and it is determined to be a valid power failure event.

[0060] If only the main power supply voltage is below the first threshold, or the voltage change rate exceeds the second threshold, the power outage confidence level is set to medium, and auxiliary detection is activated for verification.

[0061] Specifically, this embodiment defines the power outage confidence determination mechanism. The first threshold is typically set to 70%-80% of the rated operating voltage. This value comprehensively considers the need to differentiate between normal grid fluctuations and abnormal voltage drops, avoiding false triggers caused by normal voltage fluctuations. The voltage change rate is the rate of change of the backup energy storage unit's output voltage over time (dV / dt). The second threshold is a key threshold for determining whether energy supply is interrupted. The primary power outage flag is a Boolean software state variable used to record the initial power outage detection results. The power outage confidence level is a core decision variable introduced in this embodiment. It is a quantified evaluation index, divided into high and medium levels, used to guide the system to adopt differentiated response strategies. The reason for setting this multi-level collaborative determination mechanism is that a single voltage threshold detection cannot cope with complex field conditions. For example, when the main power supply experiences a momentary voltage drop due to the startup of large equipment, it may be lower than the first threshold. However, at this time, the backup energy storage unit has not yet begun to discharge significantly, and its voltage change rate is very low. Therefore, the system will not misjudge it as a high-confidence power outage event, thus effectively preventing false alarms. Conversely, if the main power supply voltage detection circuit fails to trigger, but the backup unit has already begun to discharge rapidly, the system can still detect the anomaly by monitoring the voltage change rate and initiate a medium-confidence verification process, greatly reducing the risk of missed detections. This design addresses the reliability shortcomings of traditional detection schemes, providing a solid and reliable data foundation for system decision-making and actions through cross-verification of dual signal sources, thereby improving the accuracy of fault identification by several orders of magnitude.

[0062] In some embodiments, activating a hierarchical hibernation sequence based on power failure confidence includes:

[0063] The hierarchical sleep sequence includes a minimum power consumption mode and a diagnostic enhancement mode;

[0064] When the power outage confidence level is set to high, it is determined to be a valid power outage event, and the minimum power consumption mode is enabled.

[0065] When the power outage confidence level is set to medium, auxiliary detection is activated for verification, and the diagnostic enhancement mode is enabled.

[0066] Specifically, this embodiment details the specific modes and triggering conditions of the hierarchical sleep sequence. The hierarchical sleep sequence is a predefined set of power management policy instructions stored in the system. The minimum power consumption mode is an extreme energy-saving state within the sequence. In this mode, the system cuts off power to all non-essential loads except the 4G communication module and the core microprocessor unit, such as the display screen, status indicators, and most sensors, to minimize energy consumption and ensure uninterrupted communication. The diagnostic enhancement mode is a balanced state. While maintaining communication capabilities, it retains power to the fault diagnosis unit, key sensors, and log recording unit to collect more data for in-depth analysis. This hierarchical strategy is based on the risk differences represented by different power outage confidence levels and the scarcity of energy. When the power outage confidence is high, it means the power outage event has been doubly confirmed, the situation is urgent and clear, and the system's primary task is to send out alarm information using all possible time windows. Therefore, the most extreme minimum power consumption mode is activated to maximize the extension of the communication module's operating time. When the power outage confidence level is medium, it indicates that the event is questionable and there may be a risk of false alarms. In this case, immediately sacrificing all diagnostic functions would be unwise. Therefore, an enhanced diagnostic mode is activated. While ensuring communication capabilities, a portion of the power is allocated to the diagnostic unit to assist in verification and ultimately make a final decision. This solves the problem of a one-size-fits-all approach to power allocation after a power outage, optimizing energy efficiency. With limited reserve power, it ensures a high communication success rate for high-deterministic events while providing an opportunity for verification of uncertain events.

[0067] In some embodiments, based on a hierarchical sleep sequence, calling pre-stored elevator position codes and elevator identification codes to establish a communication link with the cloud via a 4G module includes:

[0068] When a valid power outage event is determined, the pre-stored elevator location code and elevator identification code are invoked, and a preferred link is established to connect to the cloud via the 4G module.

[0069] If the preferred link times out, the system will automatically switch to the satellite communication backup channel to determine the communication link.

[0070] Specifically, this embodiment defines the specific strategies and redundancy backup mechanisms for establishing communication links. Pre-stored elevator location codes and elevator identification codes are unique identifiers pre-programmed or configured in the device's non-volatile memory, serving as the fundamental basis for fault location. The preferred link refers to the lower-cost, higher-speed 4G mobile network. The satellite communication backup channel refers to links provided by satellite communication modules such as Iridium and BeiDou short message services. These are characterized by being unaffected by terrestrial communication infrastructure and having wide coverage, but are costly, have low speeds, and high power consumption. The reason for prioritizing the preferred link before switching to the backup channel is based on cost-effectiveness and applicable scenarios. In most urban and suburban environments, 4G network coverage is good and sufficient for data transmission, making it the preferred choice to save operating costs. However, signal blind spots may exist in elevator shafts, basements, and other locations, causing 4G connection timeouts or failures. In such cases, the system cannot abandon the alarm and must use the expensive but highly reliable satellite channel as a final backup. For example, when the elevator in the underground parking garage loses power and the 4G signal is weak, the system will automatically activate the built-in satellite communication module after attempting to connect to 4G for several seconds without success, and then send out critical information via the satellite network. This design solves the problem of single-link dependency, builds a redundant communication system with "space and ground backup," and ensures that alarm information has a reliable path to reach the cloud in any complex environment, achieving true "guaranteed" communication and greatly improving the robustness and reliability of the entire system.

[0071] In some embodiments, generating diagnostic codes that include fault cause probability analysis by combining elevator operation status logs includes:

[0072] Collect the voltage drop waveform and transient characteristics of the load current at the moment of power failure;

[0073] The probability of fault causes was determined by cross-validation of voltage drop waveform and load current transient characteristics combined with elevator operation status logs.

[0074] Diagnostic codes are generated based on the probability of fault causes.

[0075] Specifically, this embodiment elaborates on the implementation process of the intelligent diagnostic function. Voltage drop waveform refers to the time-amplitude curve of the main power supply voltage dropping from its normal value to zero when a power outage occurs; its slope (drop rate) is a key feature for distinguishing fault types. Load current transient characteristics record information such as the magnitude and waveform of the current at the same moment (e.g., whether it contains high-frequency glitches). The elevator operation status log is a continuous data stream recorded by the elevator control system before a power outage, including but not limited to car position, direction of travel, speed, load, door status, and contactor engagement status. By correlating, comparing, and logically reasoning with electrical characteristic data and operation status data, cross-validation is used to determine the probability of fault causes. Through multi-dimensional data fusion analysis, the root cause of the fault can be intelligently inferred. For example, if the system detects a sudden voltage drop to zero (extremely rapid rate of drop) accompanied by a very high current spike with abundant high-frequency oscillations (short-circuit characteristics), and the status log shows the elevator was in a stationary standby state (excluding its own operating load), it can be highly likely that an internal short-circuit fault has occurred, and a high probability value for "short circuit" will be assigned to the diagnostic code. Conversely, if the voltage drops slowly, the current decreases steadily, and the log shows the elevator is running at high speed, it is more likely an external mains power outage. This allows the maintenance center to predict the nature of the fault before dispatching personnel, directing maintenance staff to bring the correct spare parts and tools (e.g., replacing fuses and checking wiring for short circuits, contacting the power company for mains power issues), reducing the mean time to repair (MTTR) by more than 50%, achieving precise and efficient maintenance.

[0076] In some embodiments, parsing data packets, matching them against a geographic location database, generating an elevator location alarm map with fault confidence, and pushing it to the maintenance terminal includes:

[0077] Parse the data packets and match them with a pre-stored geographic location database in the cloud to determine the target location;

[0078] The fault confidence level and preliminary diagnostic results are determined by comparing the diagnostic codes with historical fault models.

[0079] The target location, fault confidence level, and preliminary diagnostic results are overlaid on the electronic map to determine the elevator location alarm map, which is then pushed to the operation and maintenance terminal.

[0080] Specifically, the geographic location database is a basic database stored on a cloud server. Its fields typically include elevator identification code, precise latitude and longitude coordinates, building name, specific installation unit, contact information, and the corresponding maintenance team. The historical fault model is a knowledge base and judgment model formed by mining massive amounts of historical fault cases based on big data and machine learning algorithms in the cloud. It is used for pattern matching and confidence assessment of newly occurring faults. The electronic map refers to the GIS (Geographic Information System) or electronic floor plan module integrated into the maintenance platform. To transform single alarm information into high-value decision support information and solve the problems of information overload and prioritization faced by maintenance personnel, the cloud does not simply store the received data packet but initiates an automated intelligent process: first, by parsing the identification code, it immediately retrieves the elevator's detailed location information from the database for precise positioning; then, it compares the received diagnostic code with the historical fault model. For example, the system determines whether the short circuit characteristics are similar to a previous fault of the elevator or a common defect of the elevator model, thus calculating a comprehensive fault confidence level. Finally, all information (target location, fault type, fault confidence level) is overlaid and rendered onto an electronic map. Maintenance personnel no longer see a text alert on their terminals, but a visual map with different colors and icons clearly marking each fault point and its severity level. This allows command personnel to grasp the overall situation at a glance, prioritize handling urgent faults with high fault confidence, and quickly dispatch the nearest maintenance team based on the target location. This represents a fundamental shift from passively receiving alarms to proactive intelligent dispatching, significantly improving the operation and maintenance management efficiency of large-scale elevator networks.

[0081] In some embodiments, it also includes:

[0082] A simulated power outage signal is injected during the elevator module's idle period;

[0083] Record the time delay from the injection of a simulated power outage signal to the successful transmission of the data packet;

[0084] If the delay exceeds the third threshold, the main power supply voltage and voltage change rate acquisition process will be automatically optimized, and the communication link initialization process will be optimized.

[0085] Specifically, this embodiment is a self-maintenance function to ensure the long-term reliability of the system. The simulated power outage signal is a test signal generated by system software or hardware to simulate a real power outage event without affecting the normal operation of the elevator. Latency refers to the complete end-to-end time elapsed from the injection of the test signal to the final receipt of the cloud's acknowledgment of the test data packet; it is a key indicator for measuring the overall performance of the system. Optimizing the data acquisition process may include adjusting the voltage sampling frequency and filtering parameters, optimizing the judgment algorithm, etc.; optimizing the communication initialization process may include optimizing the network search strategy, adjusting the APN configuration, modifying connection timeout and retry parameters, etc. Introducing this self-test function can solve the problem of performance degradation or decreased environmental adaptability that may occur in the electronic system during long-term operation, preventing problems before they occur. In some cases, the system will automatically perform a complete simulation test periodically (e.g., every Sunday at 2 AM during off-peak elevator usage) and accurately record the latency of the entire process. Maintenance personnel can remotely view historical test records and monitor system performance trends. More importantly, if a test reveals a significant increase in latency (e.g., exceeding the set third threshold), the system can automatically trigger optimization algorithms to analyze performance bottlenecks and adaptively adjust relevant parameters. For example, if it detects that the 4G module's network registration time has increased, the system may automatically increase the frequency of network searches or try different network frequency bands. This design enables the system to possess "self-awareness" and "self-optimization" capabilities, adapting to challenges such as changes in base station signals and component aging. It ensures that the response speed and success rate of power outage alarms remain above design standards throughout the entire product lifecycle, greatly improving the system's long-term stability and maintainability, and reducing subsequent manual intervention and maintenance costs.

[0086] All of the above-mentioned optional technical solutions can be combined in any way to form the optional embodiments of this application, and will not be described in detail here.

[0087] The following are embodiments of the apparatus described in this application, which can be used to execute the embodiments of the method described in this application. For details not disclosed in the apparatus embodiments of this application, please refer to the embodiments of the method described in this application.

[0088] Figure 3 This is a schematic diagram of an elevator module power failure alarm device provided in an embodiment of this application. Figure 3 As shown, the elevator module power failure alarm device includes:

[0089] The data acquisition and monitoring module 301 is configured to acquire the main power supply voltage of the elevator module and monitor the voltage change rate of the backup energy storage unit.

[0090] The power failure confidence determination module 302 is configured to determine the power failure confidence based on the main power supply voltage and the voltage change rate.

[0091] The hierarchical sleep sequence determination module 303 is configured to activate the hierarchical sleep sequence based on the power failure confidence level.

[0092] The communication link establishment module 304 is configured to establish a communication link with the cloud by calling the pre-stored elevator position code and elevator identification code based on the hierarchical sleep sequence and through the 4G module.

[0093] The diagnostic code generation module 305 is configured to combine the elevator operation status log to generate diagnostic codes that include a probability analysis of fault causes.

[0094] The cloud upload module 306 is configured to encapsulate the elevator identification code, diagnostic code, and timestamp into a digitally signed data packet and upload it to the cloud via the communication link;

[0095] The push module 307 is configured to parse data packets, match them with a geographic location database, generate an elevator location alarm map with fault confidence, and push it to the operation and maintenance terminal.

[0096] In some embodiments, Figure 3 The power failure confidence determination module 302 includes:

[0097] When the main power supply voltage is lower than the first threshold, the primary power failure flag is triggered;

[0098] When the voltage change rate exceeds the second threshold, the primary power failure flag is valid, the power failure confidence level is set to high, and it is determined to be a valid power failure event.

[0099] If only the main power supply voltage is below the first threshold, or the voltage change rate exceeds the second threshold, the power outage confidence level is set to medium, and auxiliary detection is activated for verification.

[0100] In some embodiments, Figure 3 The hierarchical dormancy sequence determination module 303 includes:

[0101] The hierarchical sleep sequence includes a minimum power consumption mode and a diagnostic enhancement mode;

[0102] When the power outage confidence level is set to high, it is determined to be a valid power outage event, and the minimum power consumption mode is enabled.

[0103] When the power outage confidence level is set to medium, auxiliary detection is activated for verification, and the diagnostic enhancement mode is enabled.

[0104] In some embodiments, Figure 3 The communication link establishment module 304 includes:

[0105] When a valid power outage event is determined, the pre-stored elevator location code and elevator identification code are invoked, and a preferred link is established to connect to the cloud via the 4G module.

[0106] If the preferred link times out, the system will automatically switch to the satellite communication backup channel to determine the communication link.

[0107] In some embodiments, Figure 3 The diagnostic code generation module 305 includes:

[0108] Collect the voltage drop waveform and transient characteristics of the load current at the moment of power failure;

[0109] The probability of fault causes was determined by cross-validation of voltage drop waveform and load current transient characteristics combined with elevator operation status logs.

[0110] Diagnostic codes are generated based on the probability of fault causes.

[0111] In some embodiments, Figure 3 The push module 307 includes:

[0112] Parse the data packets and match them with a pre-stored geographic location database in the cloud to determine the target location;

[0113] The fault confidence level and preliminary diagnostic results are determined by comparing the diagnostic codes with historical fault models.

[0114] The target location, fault confidence level, and preliminary diagnostic results are overlaid on the electronic map to determine the elevator location alarm map, which is then pushed to the operation and maintenance terminal.

[0115] In some embodiments, Figure 3 The push module 307 also includes:

[0116] A simulated power outage signal is injected during the elevator module's idle period;

[0117] Record the time delay from the injection of a simulated power outage signal to the successful transmission of the data packet;

[0118] If the delay exceeds the third threshold, the main power supply voltage and voltage change rate acquisition process will be automatically optimized, and the communication link initialization process will be optimized.

[0119] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0120] Figure 4 This is a schematic diagram of the electronic device 4 provided in an embodiment of this application. Figure 4As shown, the electronic device 4 of this embodiment includes: a processor 401, a memory 402, and a computer program 403 stored in the memory 402 and executable on the processor 401. When the processor 401 executes the computer program 403, it implements the steps in the various method embodiments described above. Alternatively, when the processor 401 executes the computer program 403, it implements the functions of each module / unit in the various device embodiments described above.

[0121] Electronic device 4 can be a desktop computer, laptop, handheld computer, cloud server, or other electronic device. Electronic device 4 may include, but is not limited to, processor 401 and memory 402. Those skilled in the art will understand that... Figure 4 This is merely an example of electronic device 4 and does not constitute a limitation on electronic device 4. It may include more or fewer components than shown, or different components.

[0122] The processor 401 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0123] The memory 402 can be an internal storage unit of the electronic device 4, such as a hard disk or RAM of the electronic device 4. The memory 402 can also be an external storage device of the electronic device 4, such as a plug-in hard disk, Smart Media Card (SMC), Secure Digital (SD) card, Flash Card, etc., equipped on the electronic device 4. The memory 402 can also include both internal and external storage units of the electronic device 4. The memory 402 is used to store computer programs and other programs and data required by the electronic device.

[0124] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0125] If integrated modules / units are implemented as software functional units and sold or used as independent products, they can be stored in a readable storage medium (e.g., a computer-readable storage medium). Based on this understanding, all or part of the processes in the methods of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program may include computer program code, which may be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable storage medium may include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc.

[0126] The above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for alarming power failure of an elevator module, characterized in that, The method includes: Collect the main power supply voltage of the elevator module and monitor the voltage change rate of the backup energy storage unit. The power outage confidence level is determined based on the main power supply voltage and the voltage change rate. Based on the power outage confidence level, activate the hierarchical sleep sequence; Based on the hierarchical sleep sequence, the pre-stored elevator position code and elevator identification code are invoked, and a communication link with the cloud is established through the 4G module; By combining the elevator operation status log, a diagnostic code containing a probability analysis of fault causes is generated; The elevator identification code, the diagnostic code, and the timestamp are encapsulated into a digitally signed data packet and uploaded to the cloud via the communication link; The data packet is parsed, matched against the geographic location database, and an elevator location alarm map with fault confidence is generated and pushed to the operation and maintenance terminal. The step of determining the power outage confidence level based on the main power supply voltage and the voltage change rate includes: When the main power supply voltage is lower than the first threshold, the primary power failure flag is triggered; When the voltage change rate exceeds the second threshold, the primary power failure flag is valid, the power failure confidence level is set to high, and it is determined to be a valid power failure event. If only the main power supply voltage is lower than the first threshold or the voltage change rate exceeds the second threshold, the power outage confidence level is set to medium, and auxiliary detection is activated for verification. The step of activating the hierarchical dormancy sequence based on the power outage confidence level includes: The hierarchical sleep sequence includes a minimum power consumption mode and a diagnostic enhancement mode; When the power outage confidence level is set to high, it is determined to be a valid power outage event, and the minimum power consumption mode is enabled. When the power failure confidence level is set to medium, auxiliary detection is activated for verification, and the diagnostic enhancement mode is enabled. The process of generating diagnostic codes that include fault cause probability analysis by combining elevator operation status logs includes: Collect the voltage drop waveform and transient characteristics of the load current at the moment of power failure; Based on the voltage drop waveform and the transient characteristics of the load current, cross-validation is performed using the elevator operation status log to determine the probability of the fault cause. The diagnostic code is generated based on the probability of the fault cause.

2. The method according to claim 1, characterized in that, The step of establishing a communication link with the cloud via a 4G module by calling the pre-stored elevator position code and elevator identification code based on the hierarchical sleep sequence includes: When a valid power outage event is determined, the pre-stored elevator location code and the elevator identification code are invoked, and a preferred link is established to connect to the cloud via the 4G module. If the preferred link times out, the system will automatically switch to the satellite communication backup channel to establish the communication link.

3. The method according to claim 1, characterized in that, The process of parsing the data packet, matching it against the geographic location database, generating an elevator location alarm map with fault confidence, and pushing it to the operation and maintenance terminal includes: The data packet is parsed and matched with the pre-stored geographic location database in the cloud to determine the target location; The fault confidence level and preliminary diagnostic results are determined by comparing the diagnostic code with historical fault models. The target location, the fault confidence level, and the preliminary diagnosis results are overlaid on the electronic map to determine the elevator location alarm map, which is then pushed to the maintenance terminal.

4. The method according to any one of claims 1 to 3, characterized in that, Also includes: A simulated power outage signal is injected during the idle period of the elevator module; Record the time delay from the injection of the simulated power outage signal to the successful transmission of the data packet; If the delay is greater than the third threshold, the main power supply voltage and voltage change rate acquisition process are automatically optimized, and the communication link initialization process is optimized.

5. An elevator module power failure alarm device, used to execute the method according to any one of claims 1-4, characterized in that, include: The data acquisition and monitoring module is used to acquire the main power supply voltage of the elevator module and monitor the voltage change rate of the backup energy storage unit. A power failure confidence determination module is used to determine the power failure confidence based on the main power supply voltage and the voltage change rate; A hierarchical sleep sequence determination module is used to activate the hierarchical sleep sequence based on the power outage confidence level. The communication link establishment module is used to establish a communication link with the cloud by calling the pre-stored elevator position code and elevator identification code based on the hierarchical sleep sequence and through the 4G module. The diagnostic code generation module is used to generate diagnostic codes that include a probability analysis of fault causes by combining the elevator operation status log; The cloud upload module is used to encapsulate the elevator identification code, the diagnostic code, and the timestamp into a digitally signed data packet, and upload it to the cloud via the communication link; so that the cloud can parse the data packet, match it with the geographic location database, generate an elevator location alarm map with fault confidence, and push it to the operation and maintenance terminal.

6. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method as described in any one of claims 1 to 4.

7. A readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1 to 4.

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