Intelligent elevator internet-of-things emergency alarm method and equipment and medium

Abstract

The invention discloses an intelligent elevator internet-of-things emergency alarm method and device and a medium, and the method comprises the steps that an environment evaluation result of an intelligent elevator is obtained, and on-site equipment installation is conducted on the intelligent elevator based on the environment evaluation result; based on the Internet of Things, the server is associated with the field device, and the field device is debugged; and determining that the intelligent elevator has an abnormal condition based on the image information or the sensor data, and determining whether to synchronously execute remote online alarm or not while performing field alarm on personnel in the intelligent elevator through the intelligent sound box display screen based on the abnormal level of the abnormal condition. Abnormality analysis is carried out on the intelligent elevator in real time, the abnormality level of the abnormal situation facing the intelligent elevator is synchronously confirmed, and therefore an adaptive mode is adopted for alarming, resource waste of small events and missing and false alarm of large events can be avoided, resources are effectively utilized, and meanwhile the intelligent elevator safety is improved. And the rescue time under some special conditions can be effectively shortened.

Description

Technical Field

[0001] The present application relates to the field of alarm devices, and specifically to an intelligent elevator Internet of Things emergency alarm method, device and medium. Background Art

[0002] With the development of technology, smart elevators have gradually come into people's view.

[0003] In traditional smart elevators, corresponding cameras, sensors and other devices can be configured. When the device identifies abnormal data, it will issue a corresponding alarm. However, in this mode, no matter what kind of abnormal data is, a single alarm method is usually used, without effective division of different alarm situations. In some cases, it may cause waste of resources or rescue time. Summary of the invention

[0004] In order to solve the above problems, this application proposes an intelligent elevator IoT emergency alarm method, including:

[0005] Obtaining environmental assessment results of the smart elevator, and installing on-site equipment for the smart elevator based on the environmental assessment results; wherein the on-site equipment includes a camera, a smart speaker display, and a sensor;

[0006] Based on the Internet of Things, the server is associated with the field device, and the field device is debugged;

[0007] Acquire image information corresponding to the smart elevator through the camera, and acquire sensor data corresponding to the smart elevator through the sensor;

[0008] Based on the image information or the sensor data, it is determined that an abnormal situation exists in the smart elevator. Based on the abnormality level of the abnormal situation, while an on-site alarm is issued to the personnel in the smart elevator through the smart speaker display screen, it is determined whether to simultaneously execute a remote online alarm.

[0009] On the other hand, the present application also proposes an intelligent elevator IoT emergency alarm device, including:

[0010] at least one processor; and,

[0011] a memory communicatively connected to the at least one processor; wherein,

[0012] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the smart elevator Internet of Things emergency alarm method as described in the above example.

[0013] On the other hand, the present application also proposes a non-volatile computer storage medium storing computer executable instructions, wherein the computer executable instructions are configured as: the intelligent elevator Internet of Things emergency alarm method described in the above example.

[0014] The intelligent elevator IoT emergency alarm method proposed in this application can bring the following beneficial effects:

[0015] Real-time abnormal analysis of smart elevators and simultaneous confirmation of the abnormal level of the abnormal situation they face, so as to use an adaptive method to issue an alarm, can avoid wasting resources on small matters and missing or false reporting of major matters. While effectively utilizing resources, it can also effectively shorten the rescue time when facing some special situations. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0017] Figure 1 This is a flow chart of the intelligent elevator IoT emergency alarm method in the embodiment of the present application;

[0018] Figure 2 This is a schematic diagram of the smart elevator Internet of Things emergency alarm device in an embodiment of the present application. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in combination with the specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application.

[0020] The technical solutions provided by various embodiments of the present application are described in detail below in conjunction with the accompanying drawings.

[0021] like Figure 1 As shown, the embodiment of the present application provides an intelligent elevator Internet of Things emergency alarm method, including:

[0022] S101: Obtain an environmental assessment result of a smart elevator, and based on the environmental assessment result, install on-site equipment for the smart elevator; wherein the on-site equipment includes a camera, a smart speaker display, and a sensor.

[0023] Specifically, the environmental assessment results mainly refer to the installation environment of the elevator. Here, the installation environment of the smart elevator can be evaluated based on assessment tools (such as construction drawings, laser rangefinders, tape measures, simulation software, etc.) to obtain the environmental assessment results of the smart elevator; among them, the environmental assessment results include the internal and external dimensions of the elevator car, the car roof structure, the car door movement path, and the elevator guide rail layout.

[0024] At this time, based on the internal and external dimensions of the elevator car, the smart speaker display and camera are installed, the lines of the smart speaker display and camera are arranged, and the visual range of the camera is adjusted.

[0025] In one installation scenario, use a level to ensure that the rear cover of the smart speaker display is level, and stick the nail-free glue to the left wall of the car. After waiting for 24 hours to cure, hang the smart speaker display at a height of 1.2 meters. Fix the top of the camera, adjust the lens downward to the center of the car, and connect the USB cable to the screen to ensure that the cable is firm and does not hinder maintenance. And pass the POE network cable and the USB cable of the camera from the top of the car into the car. If necessary, drill holes and hide the cables, and use metal pipes such as stainless steel square tubes to beautify the process.

[0026] The data acquisition analyzer (also known as the black box) is installed through the car roof structure and fixed with a bracket.

[0027] In one installation scenario, a suitable location is selected on the elevator car roof, and it is fixed with a bracket or directly fixed to ensure that it does not hinder maintenance. The cables are neatly connected to the port of the data acquisition analyzer, which can draw power from the car roof lighting.

[0028] Sensors are set up based on the movement path of the car door and the layout of the elevator rails, and are associated with the data acquisition analyzer. Sensors include photoelectric sensors, Hall sensors, base station sensors, limit sensors, and smoke sensors. Of course, other sensors can also be installed and associated based on demand.

[0029] Photoelectric sensors are used to detect the status of elevator doors; Hall sensors are used to cooperate with magnets installed on the movement path of the elevator doors to detect the movement status of the smart elevator; base station sensors are used to realize wireless communication of smart elevators through the layout of elevator guide rails; limit sensors are used to detect the limit positions of smart elevators; smoke sensors are used to detect the smoke concentration inside smart elevators.

[0030] Specifically, the photoelectric sensor is used to detect the state of the elevator door to ensure that there are no obstacles when the door is opened and closed to prevent people from being pinched. It can also be used to identify the floor call button. The bracket is adjusted according to the actual length, fixed with screws or super glue, and wired to the corresponding port of the collector.

[0031] The Hall sensor is used to detect the position information of the elevator. By sensing the movement state and speed of the elevator, it ensures that the elevator stops accurately at each floor and controls the movement of the elevator. It is fixed by the cigarette rod to ensure alignment with the magnetic strip, and the upper and lower leveling signal lines are connected to the corresponding ports respectively. A magnet is installed on the door movement path, and the Hall sensor is pasted at a certain angle to ensure a stable signal and wired to the corresponding port.

[0032] The base station sensor is used for wireless communication, monitoring the operating status of the elevator, and performing remote monitoring and fault alarm. It can be installed next to the guide rail on the first floor, with the magnets aligned to ensure accurate signals, and the cables connected to the corresponding ports.

[0033] The limit sensor is used to monitor the limit position of the elevator, such as the upper and lower limit positions, to ensure that the elevator does not exceed the safe range during movement and prevent accidents. Magnets are installed 10 cm on the lowest and highest rails of the elevator. The sensor receives the signal to ensure a stable installation.

[0034] Smoke sensors are used to detect smoke in the elevator car or machine room and give an alarm in time to ensure the safety of passengers and prevent fire accidents. They are installed at key locations in the elevator and integrated into the IoT system to automatically trigger an alarm when smoke is detected.

[0035] S102: Based on the Internet of Things, the server is associated with the field device, and the field device is debugged.

[0036] Specifically, based on the Internet of Things system, all network devices in the field equipment are connected to the network to ensure smooth data transmission and stable power supply for each sensor and data acquisition analyzer.

[0037] Carry out system debugging, check the status of signal lights corresponding to on-site equipment, confirm that all sensors, cameras, and terminals are working properly, and perform simulation tests on on-site equipment to ensure that the normal operation of the elevator is not affected.

[0038] Generate and save the installation documents of field equipment (including the installation location, parameters, wiring diagrams, etc. of each link) to facilitate the maintenance of field equipment.

[0039] Maintenance personnel can also be trained on the use and maintenance of the system to ensure they are familiar with the emergency response process.

[0040] S103: Acquire image information corresponding to the smart elevator through the camera, and acquire sensor data corresponding to the smart elevator through the sensor.

[0041] The server obtains image information and sensor data in real time, and in order to ensure the timeliness and accuracy of the alarm, the image information and sensor data can also be transmitted in real time to the regional management agency of the area associated with the smart elevator. For example, the regional management agency can be a property agency, a security agency, etc.

[0042] S104: Based on the image information or the sensor data, it is determined that an abnormal situation exists in the smart elevator, and based on the abnormality level of the abnormal situation, while issuing an on-site alarm to the personnel in the smart elevator through the smart speaker display screen, it is determined whether to simultaneously execute a remote online alarm.

[0043] Real-time abnormal analysis of smart elevators and simultaneous confirmation of the abnormal level of the abnormal situation they face, so as to use an adaptive method to issue an alarm, can avoid wasting resources on small matters and missing or false reporting of major matters. While effectively utilizing resources, it can also effectively shorten the rescue time when facing some special situations.

[0044] Specifically, when analyzing abnormal situations, if target analysis is performed based on image information and it is determined that there are prohibited objects in the image information (for example, electric bicycles, lithium batteries, pet dogs, etc. that are prohibited by local regulations), then it is determined that the smart elevator has a first abnormal situation. Generally speaking, the detection is performed when a person enters the elevator, the elevator door is not closed, the elevator is not started, and it is in a static state, so the risk factor is low, and the first abnormal situation is listed as the first abnormal level with the lowest risk factor.

[0045] If the photoelectric sensor detects the state of the elevator door and determines that the elevator door is in an open state (including continuous opening and the duration of unsuccessful closing) for more than a first preset time (for example, 30 seconds), the smart elevator is determined to have a second abnormal situation. Generally speaking, it may be caused by someone deliberately blocking the elevator door to wait for other people or to carry objects. The elevator has not started and is in a static state. Its risk factor is relatively low, and the second abnormal situation is also listed as the first abnormal level.

[0046] The Hall sensor is used to detect the motion state of the smart elevator. When it is determined that the motion state is abnormal (for example, too fast speed, unstable parking, etc.), the smart elevator is confirmed to have a third abnormal situation. At this time, although the elevator is in a moving state, if there are no people in it, it is considered to have a medium risk factor and is classified as a second abnormal level higher than the first abnormal level. If there are people in it, refer to the seventh abnormal level below.

[0047] Based on the limit sensor detecting that the smart elevator exceeds the preset limit position, it is confirmed that the smart elevator has a fourth abnormal situation. Similar to the third abnormal situation, when there is no person in the smart elevator, it is classified into the second abnormal level.

[0048] The smoke sensor detects that the smoke concentration of the smart elevator exceeds the preset concentration, confirming that the smart elevator has the fifth abnormal situation. Since the elevator is a relatively closed space, the consequences of a fire are very serious. Therefore, regardless of whether there are people in the elevator, the fifth abnormal situation is classified as the third abnormal level with the highest risk factor.

[0049] For smart elevators that already have abnormal conditions (for example, the third and fourth abnormal conditions mentioned above), target analysis is performed based on image information. If it is determined that there are people in the smart elevator and the smart elevator is in a moving state, it is considered that the risk factor is high and may even cause casualties. At this time, it is determined that the smart elevator has a sixth abnormal condition and is classified as the third abnormal level with the highest risk factor.

[0050] Target analysis is performed based on image information. If it is determined that there is a person in the smart elevator and the person is in an abnormal state (for example, lying down, prone, or other abnormal movements) for more than a second preset time (for example, 20 seconds), it is determined that the smart elevator has the seventh abnormal situation. At this time, it is considered that the person may have dangerous conditions such as physical discomfort and is classified into the third abnormal level with the highest risk factor.

[0051] Based on this, the first abnormal situation and the second abnormal situation are determined to belong to the first abnormal level, and the third abnormal situation, the fourth abnormal situation and other abnormal situations not recorded (for example, other abnormal behaviors newly added in the abnormal determination system and not yet associated with abnormal levels) are determined to belong to the second abnormal level, and the fifth abnormal situation, the sixth abnormal situation, and the seventh abnormal situation are determined to belong to the third abnormal level. Of course, if multiple abnormal situations occur at the same time, the abnormal situation with the highest abnormal level will be used as the judgment standard.

[0052] For the first abnormal level, since its risk factor is relatively low, on-site alarms are only issued to people in the smart elevator through the smart speaker display, thereby saving corresponding computing resources and management resources. For example, corresponding broadcasts are made through speakers, display screens, etc. for different abnormal situations.

[0053] For the second abnormality level, since its degree of danger has increased to a certain extent, while an on-site alarm is issued to the personnel in the smart elevator through the smart speaker display screen, a remote online alarm is simultaneously issued to the regional management agency associated with the smart elevator, for example, a remote online alarm is issued to the property management agency in the residential area or office area, and the corresponding abnormal data is synchronized.

[0054] For the third abnormal level, since it is the most dangerous, the smart speaker display screen will be used to send an on-site alarm to the personnel in the smart elevator, and at the same time, a remote online alarm will be sent to the management agency of the area associated with the smart elevator, as well as the emergency agency of the area. For example, while sending a remote online alarm to the property agency, a remote online alarm can also be sent to the fire department, emergency department, etc. in the area, and the corresponding abnormal data can be synchronized. Among them, corresponding emergency agencies can be set for different abnormal situations, so as to facilitate remote online alarm.

[0055] In one embodiment, when performing target analysis through image information, a pre-trained model for target analysis can be obtained, and the pre-trained weights of the pre-trained model can be loaded. For example, the pre-trained model can be ResNet50, which can be trained on a large-scale data set (such as ImageNet, etc.), and then the pre-trained weights of the pre-trained model are loaded through a deep learning framework (such as TensorFlow or PyTorch).

[0056] At this time, based on the output of the pre-trained model, the corresponding layer structure is added to obtain the target recognition model. For example, after the output of the pre-trained model, a global average pooling layer, a fully connected layer, and an output layer are added to obtain the target recognition model.

[0057] For each area, the elevator installation environment is relatively uniform, so it can be treated as a separate whole and the corresponding elevator historical image data of the area can be used as the training sample set of the area. Of course, if the amount of training sample data in the area is low, the elevator historical image data with the same elevator attributes (such as elevator manufacturer, elevator model, elevator size, etc.) in other areas can be used as training samples.

[0058] The pre-trained model part in the target recognition model is frozen, and the target recognition model is trained through the training sample set. Only the newly added layer is trained to obtain the target recognition model corresponding to each area for target analysis.

[0059] In one embodiment, considering that in some cases, the elevator may not have an abnormality, but an abnormality may occur outside, in this case, based on other associated alarm systems, the corresponding alarm information is obtained, and the alarm position corresponding to the alarm information is obtained. The alarm information may include fire alarm, flood alarm, personnel conflict alarm, etc., which can be obtained through smoke sensors, water flow sensors, camera image analysis, etc. of other alarm systems.

[0060] At this time, if it is determined that there is no abnormality in the smart elevator, the elevator can be divided into two situations for processing.

[0061] In the first case, the smart elevator is in a stationary state. At this time, the smart elevator is suspended and an on-site alarm is issued through the smart speaker display to ensure the safety of personnel.

[0062] In the second case, if the smart elevator is in a moving state, the corresponding dangerous position range and safe position range are obtained according to the alarm position and the alarm type of the alarm information. For example, if the alarm position is on the 10th floor, when the alarm type is a fire alarm, considering that the fire has the characteristic of extending upward, the 10th floor and the floors above are listed as dangerous position ranges, and considering the harmfulness of the fire, the 5th to 10th floors are also included in the dangerous area range, and the 1st to 4th floors are listed as safe area ranges. The opposite is true for flooding alarms. When the alarm position is on the 10th floor, the 5th to 10th floors are listed as dangerous area ranges, and the others are safe area ranges. For personnel conflict alarms, if the alarm position is on the 10th floor, the 8th to 12th floors are listed as dangerous area ranges, and the others are safe area ranges.

[0063] At this time, try to make people reach the safe area quickly without passing through the dangerous area. Based on the current position of the smart elevator, generate the optimal moving path, so that through the optimal moving path, starting from the current position, and going to the safe position range with the premise of passing through the dangerous position range at least. For example, the alarm position is the 10th floor, the alarm type is a fire alarm, the area above the 5th floor is the dangerous area range, and the 1st to 4th floors are listed as the safe area range. At this time, no matter which floor the elevator is on, it will no longer consider the external elevator button and the internal elevator button of the personnel, but go directly to the 1st to 4th floors. For another example, for a conflict alarm, the alarm position is the 10th floor, then the 8th to 12th floors are the dangerous area range, and the rest are the safe area range. Assuming that the elevator is on the 11th floor, it will no longer consider the external elevator button and the internal elevator button of the personnel, but go directly to the 13th floor.

[0064] Of course, on-site alarms can also be issued simultaneously on the smart speaker display screen to prevent passengers from being unaware and allow them to deal with the emergency in advance.

[0065] like Figure 2 As shown, the embodiment of the present application also proposes an intelligent elevator IoT emergency alarm device, including:

[0066] at least one processor; and,

[0067] a memory communicatively connected to the at least one processor; wherein,

[0068] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the intelligent elevator Internet of Things emergency alarm method as described in any of the above embodiments.

[0069] The embodiment of the present application also proposes a non-volatile computer storage medium storing computer executable instructions, wherein the computer executable instructions are configured as: the intelligent elevator Internet of Things emergency alarm method described in any of the above embodiments.

[0070] Each embodiment in this application is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device and medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0071] The devices and media provided in the embodiments of the present application correspond one-to-one to the methods. Therefore, the devices and media also have similar beneficial technical effects as the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media will not be repeated here.

[0072] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0073] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0074] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1A function specified in one or more boxes.

[0075] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0076] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0077] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0078] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0079] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0080] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. An intelligent elevator Internet of Things emergency alarm method, characterized in that: include: Obtaining environmental assessment results of the smart elevator, and installing on-site equipment for the smart elevator based on the environmental assessment results; wherein the on-site equipment includes a camera, a smart speaker display, and a sensor; Based on the Internet of Things, the server is associated with the field device, and the field device is debugged; Acquire image information corresponding to the smart elevator through the camera, and acquire sensor data corresponding to the smart elevator through the sensor; Based on the image information or the sensor data, it is determined that an abnormal situation exists in the smart elevator. Based on the abnormality level of the abnormal situation, while an on-site alarm is issued to the personnel in the smart elevator through the smart speaker display screen, it is determined whether to simultaneously execute a remote online alarm.

2. The method according to claim 1, characterized in that Obtain the environmental assessment results of smart elevators, including: Based on the evaluation tool, the installation environment of the smart elevator is evaluated to obtain the environmental evaluation results of the smart elevator; wherein the environmental evaluation results include the internal and external dimensions of the elevator car, the car roof structure, the car door movement path, and the elevator guide rail layout.

3. The method according to claim 2, characterized in that Based on the environmental assessment results, the installation of on-site equipment for the smart elevator specifically includes: Based on the internal and external dimensions of the elevator car, the smart speaker display and the camera are installed, the lines of the smart speaker display and the camera are arranged, and the visual range of the camera is adjusted; The data acquisition analyzer is installed through the car roof structure and fixed with a bracket; The sensor is set according to the movement path of the car door and the layout of the elevator guide rail, and the sensor is associated with the data acquisition analyzer; Wherein, the sensors include photoelectric sensors, Hall sensors, base station sensors, limit sensors, and smoke sensors; The photoelectric sensor is used to detect the state of the elevator door; the Hall sensor is used to cooperate with the magnet installed on the movement path of the elevator door to detect the movement state of the intelligent elevator; the base station sensor is used to realize wireless communication of the intelligent elevator through the elevator guide rail layout; the limit sensor is used to detect the limit position of the intelligent elevator; the smoke sensor is used to detect the smoke concentration inside the intelligent elevator.

4. The method according to claim 3, characterized in that: Based on the Internet of Things, the server is associated with the field device, and the field device is debugged, specifically including: Based on the Internet of Things system, all network devices in the field device are connected to the network; Detecting the status of the signal light corresponding to the field device and performing a simulation test on the field device; An installation document of the field device is generated and saved to facilitate maintenance of the field device.

5. The method according to claim 3, characterized in that: Determining that an abnormality exists in the smart elevator based on the image information or the sensor data specifically includes: Performing target analysis based on the image information and determining that a prohibited object exists in the image information, then determining that a first abnormality exists in the smart elevator; Based on the detection of the state of the elevator door by the photoelectric sensor, it is determined that the elevator door is in an open state for more than a first preset time, and then it is determined that the smart elevator has a second abnormal situation; Detecting the motion state of the smart elevator based on the Hall sensor, and when determining that the motion state is abnormal, confirming that the smart elevator has a third abnormal situation; Based on the detection by the limit sensor that the smart elevator exceeds a preset limit position, confirming that the smart elevator has a fourth abnormal situation; Based on the smoke sensor detecting that the smoke concentration of the smart elevator exceeds a preset concentration, it is confirmed that the smart elevator has a fifth abnormal situation. For the smart elevator that has an abnormal situation, target analysis is performed based on the image information to determine that there is a person in the smart elevator and the smart elevator is in a moving state, and determine that the smart elevator has a sixth abnormal situation; Target analysis is performed based on the image information to determine that there is a person in the smart elevator and that the person is in an abnormal state for more than a second preset time period, and it is determined that the smart elevator has a seventh abnormal situation.

6. The method according to claim 5, characterized in that Based on the abnormality level of the abnormal situation, while the on-site alarm is issued to the personnel in the smart elevator through the smart speaker display screen, it is determined whether to synchronously execute a remote online alarm, specifically including: Determining that the first abnormal situation and the second abnormal situation belong to the first abnormal level, determining that the third abnormal situation, the fourth abnormal situation and other abnormal situations not recorded belong to the second abnormal level, and determining that the fifth abnormal situation, the sixth abnormal situation and the seventh abnormal situation belong to the third abnormal level; For the first abnormal level, an on-site alarm is issued to the personnel in the smart elevator only through the smart speaker display screen; For the second abnormal level, an on-site alarm is issued to the personnel in the smart elevator through the smart speaker display screen, and a remote online alarm is simultaneously issued to the regional management agency associated with the smart elevator; For the third abnormal level, while an on-site alarm is issued to the personnel in the smart elevator through the smart speaker display screen, a remote online alarm is simultaneously issued to the management agency of the area associated with the smart elevator and the emergency agency of the area.

7. The method according to claim 5, characterized in that Performing target analysis based on the image information specifically includes: Obtaining a pre-trained model for performing target analysis, and loading pre-trained weights of the pre-trained model; Based on the output of the pre-trained model, a corresponding layer structure is added to obtain a target recognition model; For each area, the historical image data of the elevator corresponding to the area and / or the historical image data of the elevator with the same elevator attributes in other areas are used as the training sample set of the area; The part of the pre-trained model in the target recognition model is frozen, and the target recognition model is trained by using the training sample set to obtain a target recognition model corresponding to each region for target analysis.

8. The method according to claim 1, characterized in that The method further comprises: Based on other associated alarm systems, obtain corresponding alarm information and obtain the alarm location corresponding to the alarm information; Determining that there is no abnormality in the smart elevator; If the smart elevator is in a stationary state, the smart elevator is suspended and an on-site alarm is issued through the smart speaker display screen; If the smart elevator is in a moving state, the corresponding dangerous position range and safe position range are obtained according to the alarm position and the alarm type of the alarm information, and the optimal moving path is generated based on the current position of the smart elevator. The optimal moving path is used to move from the current position as the starting point to the safe position range on the premise of passing through the dangerous position range at least, and an on-site alarm is simultaneously issued on the smart speaker display screen.

9. An intelligent elevator Internet of Things emergency alarm device, characterized in that: include: at least one processor; as well as, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the intelligent elevator Internet of Things emergency alarm method as described in any one of claims 1 to 8.

10. A non-volatile computer storage medium storing computer executable instructions, characterized in that: The computer executable instructions are set to: the intelligent elevator Internet of Things emergency alarm method as described in any one of claims 1 to 8.

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