CN107381271B - Method and device for abnormal handling of intelligent elevator based on Internet of Things - Google Patents

Abstract

The embodiment of the present application discloses a method and device for abnormal processing of an intelligent elevator based on the Internet of Things, wherein the method may include: an Internet of Things server receives elevator acceleration information, and the elevator acceleration information includes the intelligent elevator collected by the acceleration sensor. The Internet of Things server determines whether the acceleration data exceeds the preset acceleration threshold; if it is determined that the acceleration data exceeds the preset acceleration threshold, the Internet of Things server determines the elevator operation data corresponding to the acceleration data. For abnormal operation, and generate a record of abnormal operation of the intelligent elevator. The application can record the abnormal situation of elevator operation, which is beneficial to avoid potential safety hazards of the elevator.

Description

Method and device for abnormal handling of intelligent elevator based on Internet of Things

technical field

The present application relates to the technical field of the Internet of Things, and in particular, to a method and device for abnormal handling of an intelligent elevator based on the Internet of Things.

Background technique

The Internet of Things (IoT) is a connected network that realizes information exchange and communication between any item and item through communication sensing technologies such as intelligent sensing, identification technology, and ubiquitous computing. Its core and foundation are still the Internet. , is an extension and expansion on the basis of the Internet, and is therefore called the third wave of the development of the world's information industry after the computer and the Internet. With the continuous rise of the Internet of Things, various applications based on the Internet of Things are gradually integrated into people's daily life, changing people's life experience.

However, although the arrival of the Internet of Things era has brought us convenience and initially met people's needs for intelligent life, there is still a certain distance from the realization of a truly humanized, comfortable and efficient intelligent life experience. For example, in the prior art, safety faults such as the sudden and rapid fall of the elevator or the sudden and rapid rise of the elevator often occur. However, under normal circumstances, if there is no casualty or user reporting, the elevator administrator may not be able to know the elevator fault in time, so The cause of the failure cannot be further traced, which may further cause serious safety accidents.

SUMMARY OF THE INVENTION

The technical problem to be solved by the embodiments of the present application is to provide a method and device for abnormal handling of an intelligent elevator based on the Internet of Things, which solves the problem in the prior art that the abnormal situation of the elevator cannot be obtained in time, which leads to potential safety hazards.

In a first aspect, an embodiment of the present application provides an IoT-based intelligent elevator exception processing method, which is applied to a system including an IoT server, an acceleration sensor, and a smart elevator, and may include:

The Internet of Things server receives elevator acceleration information, and the elevator acceleration information includes acceleration data of the smart elevator collected by the acceleration sensor;

The Internet of Things server determines whether the acceleration data exceeds a preset acceleration threshold;

If it is determined that the acceleration data exceeds the preset acceleration threshold, the IoT server determines the elevator operation data corresponding to the acceleration data as abnormal operation, and generates a record of abnormal operation of the intelligent elevator.

In a possible implementation, the method further includes:

If it is determined that the acceleration data exceeds a preset acceleration threshold, the IoT server sends an emergency protection instruction to the smart elevator, where the emergency protection instruction is used to instruct and control the smart elevator to perform parking operations on all floors.

In a possible implementation manner, the method further includes: the IoT server sending the abnormal operation record to a target terminal device, where the target terminal device is pre-bound with the IoT server Terminal Equipment.

In a possible implementation manner, the system further includes an alarm and an infrared sensor installed in the smart elevator; the method further includes: receiving, by the IoT server, infrared monitoring data sent by the infrared sensor; If it is determined that the acceleration data exceeds the preset acceleration threshold, the Internet of Things server determines whether there is a person in the smart elevator according to the infrared monitoring data; if the Internet of Things server determines that there is a person in the smart elevator, it will send The alarm sends an alarm instruction, and the alarm instruction is used to instruct the alarm to perform a preset alarm operation.

In a possible implementation manner, the method further includes: if the IoT server determines that there is no one in the intelligent elevator, sending a stop operation instruction to the intelligent elevator, and the stop operation instruction is used to indicate The intelligent elevator performs a power-off operation.

In a possible implementation manner, the Internet of Things server calculates the time period with the highest abnormal operation frequency of the intelligent elevator according to the abnormal operation record, and records the corresponding abnormal situation; In the time period with the highest frequency, a load control instruction is sent to the intelligent elevator, and the load control instruction is used to instruct the intelligent elevator to adjust relevant parameters for the corresponding abnormal situation within the time period. By implementing the embodiments of the present application, the relevant parameters of the intelligent elevator can be adjusted during the peak period when abnormal conditions occur, so as to avoid the probability of abnormal conditions and improve the safety of the elevator. For example, during the rush hour in the morning, the elevator frequently goes up and down and is prone to failure, and the general reason is due to overloading. Therefore, during this time period, the upper limit of the carrying weight of the intelligent elevator can be appropriately adjusted to reduce the elevator weight. Abnormal situation caused by frequent up and down and heavy load in a short period of time.

In a second aspect, the present application provides an IoT-based intelligent elevator abnormality processing device, which is applied to a system including an IoT server, an acceleration sensor and an intelligent elevator, and may include:

a first receiving module, configured to receive elevator acceleration information, where the elevator acceleration information includes acceleration data of the intelligent elevator collected by the acceleration sensor;

a first judging module for judging whether the acceleration data exceeds a preset acceleration threshold;

The generating module is configured to, if it is determined that the acceleration data exceeds a preset acceleration threshold, determine the elevator operation data corresponding to the acceleration data as an abnormal operation, and generate a record of the abnormal operation of the intelligent elevator.

In a possible implementation, the apparatus further includes:

The first sending module is used for, if it is judged that the acceleration data exceeds the preset acceleration threshold, the Internet of Things server sends an emergency protection instruction to the intelligent elevator, and the emergency protection instruction is used to instruct and control the intelligent elevator in All floors are docked.

In a possible implementation, the apparatus further includes:

The second sending module sends the abnormal operation record to a target terminal device, where the target terminal device is a terminal device that is pre-bound with the Internet of Things server.

In a possible implementation manner, the system further includes an alarm and an infrared sensor installed in the intelligent elevator; the device further includes:

a second receiving module, configured to receive infrared monitoring data sent by the infrared sensor;

a second judging module, configured to judge whether there is someone in the smart elevator according to the infrared monitoring data if it is judged that the acceleration data exceeds a preset acceleration threshold;

The third sending module is used for judging that there is someone in the intelligent elevator, and sending an alarm instruction to the alarm device, where the alarm command is used to instruct the alarm device to perform a preset alarm operation.

In a possible implementation, the apparatus further includes:

The fourth sending module is configured to send a stop operation instruction to the intelligent elevator if it is determined that there is no one in the intelligent elevator, and the stop operation instruction is used to instruct the intelligent elevator to perform a power-off operation.

In a possible implementation, the apparatus further includes:

a calculation module, configured to calculate the time period with the highest abnormal operation frequency of the intelligent elevator according to the record of the abnormal operation and record the corresponding abnormal situation;

The fifth sending module is used to send a load control instruction to the intelligent elevator in the time period with the highest frequency, and the load control instruction is used to instruct the intelligent elevator to target the corresponding abnormal situation in the time period Adjust related parameters.

In a third aspect, the present application provides an Internet of Things server, which includes a processor, and the processor is configured to support the Internet of Things server to perform the abnormal processing method for an Internet of Things-based intelligent elevator provided in the first aspect. corresponding function. The IoT server may further include a memory, which is used for coupling with the processor, and which stores necessary program instructions and data of the IoT-based intelligent elevator abnormality processing device. The IoT server may also include a communication interface for the IoT server to communicate with other devices or a communication network.

In a fourth aspect, the present application provides a computer storage medium for storing computer software instructions used by the IoT server provided in the third aspect, which includes a program designed to execute the above aspect.

A fifth aspect, the embodiment of the present application provides a computer program, the computer program includes instructions, when the computer program is executed by the computer, the computer can execute the abnormality of the Internet of Things-based intelligent elevator in any one of the above-mentioned first aspects Process in a method.

Implementing the embodiments of the present application has the following beneficial effects:

In this embodiment of the present application, elevator acceleration information is received through an IoT server, where the elevator acceleration information includes acceleration data of the smart elevator collected by the acceleration sensor; the IoT server determines whether the acceleration data exceeds a preset acceleration threshold ; If it is determined that the acceleration data exceeds the preset acceleration threshold, the Internet of Things server determines the elevator operation data corresponding to the acceleration data as abnormal operation, and generates a record of abnormal operation of the intelligent elevator. That is, in this application, the acceleration data of the elevator operation is obtained through the Internet of Things server, and it is judged whether the elevator is running abnormally according to the acceleration data. Protect the personal safety of users who take the elevator.

Description of drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the accompanying drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only These are some embodiments of the present application. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings without any creative effort.

Fig. 1 is the system architecture diagram of the intelligent elevator control based on the Internet of Things provided by the embodiment of the present application;

FIG. 2 is a schematic flowchart of a method for handling abnormality of an intelligent elevator based on the Internet of Things provided by an embodiment of the present application;

3A is a schematic flowchart of another method for handling abnormality of an intelligent elevator based on the Internet of Things provided by an embodiment of the present application;

3B is a specific application scenario diagram of another IoT-based intelligent elevator exception handling provided by an embodiment of the present application;

4 is a schematic structural diagram of an IoT-based intelligent elevator abnormality processing device provided by an embodiment of the present application;

FIG. 5 is a schematic structural diagram of an Internet of Things server provided by an embodiment of the present application.

Detailed ways

The embodiments of the present application will be described below with reference to the accompanying drawings in the embodiments of the present application.

The terms "first", "second", "third", "fourth" and "fifth" in the description and claims of the present application and the drawings are used to distinguish different objects, rather than Used to describe a specific order. Furthermore, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes unlisted steps or units, or optionally also includes For other steps or units inherent to these processes, methods, products or devices.

Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor a separate or alternative embodiment that is mutually exclusive of other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

"Plural" means two or more. "And/or", which describes the association relationship of the associated objects, means that there can be three kinds of relationships, for example, A and/or B, which can mean that A exists alone, A and B exist at the same time, and B exists alone. The character "/" generally indicates that the associated objects are an "or" relationship.

The embodiments of the present application will be described below with reference to the accompanying drawings.

To facilitate understanding of the embodiments of the present application, one of the network architectures on which the embodiments of the present application are based is first described below. Please refer to FIG. 1. FIG. 1 is a system architecture diagram of an IoT-based smart elevator control provided by an embodiment of the present application. The system architecture may include an IoT server, an acceleration sensor, a smart elevator, and an IoT gateway. A radio frequency communication module is set on the acceleration sensor, and the acceleration sensor sends the collected acceleration data to the IoT gateway through the radio frequency communication module, and then the IoT gateway forwards the IoT server, so that the IoT server can send the data to the smart elevator according to the acceleration data. operation is monitored and recorded. The following will describe each functional subject in the system architecture in detail:

The acceleration sensor belongs to the perception layer of the Internet of Things and is used to collect the acceleration data of the intelligent elevator during operation. The sensor is provided with an Internet of Things communication module (such as a radio frequency communication module), and the sensor is periodically collected through the Internet of Things communication module. The acceleration data is transmitted to the IoT gateway and finally uploaded to the IoT server for analysis and processing. In practical application scenarios, since each smart elevator shares a car, the acceleration sensor in this application can be installed inside or outside of each car. Optionally, multiple acceleration sensors may also be arranged at different positions of the same car, and the average value of the acceleration data collected by the multiple sensors is taken to measure the running condition of the car.

The IoT gateway, which belongs to the perception layer of the IoT, is mainly responsible for the interconnection and communication between the sensor and the IoT server, that is, the data collected by the sensor to the IoT server needs to be processed and forwarded by the IoT gateway. The IoT gateway and the sensor can be connected through Wireless-Fidelity (Wi-Fi), Bluetooth, Zigbee (a mainstream low-power wireless network protocol), and Radio Frequency Identification (RFID) technology. , General Packet Radio Service (General Packet Radio Service, GPRS) technology, the second generation of mobile phone communication technical specifications (2-Generation wireless telephone technology, 2G), 3G, 4G and 5G and other transmission methods to communicate.

IoT server: It belongs to the network layer of the IoT and is used to receive and process the data collected by various sensors forwarded by the IoT gateway, such as the acceleration data collected by the acceleration sensor. The IoT server intelligently processes the data collected by the sensor through relevant algorithms or rules, so as to realize the processing and monitoring of the abnormal situation of the intelligent elevator. The Internet of Things server and the Internet of Things gateway can be connected and communicated in a wired or wireless manner, which is not specifically limited in this application. It can be understood that the physical network server in this application may also be a cloud server combined with cloud computing, which is not specifically limited in this application.

The smart elevator belongs to the application layer of the Internet of Things. The smart elevator is provided with an acceleration sensor, which is used to collect the acceleration data of the elevator during the operation of the elevator. The forms of intelligent elevators are not limited to passenger elevators, machine room-less elevators, small machine room elevators, sightseeing elevators, residential elevators, hospital elevators, car elevators, sundries elevators, hydraulic elevators, explosion-proof elevators, freight elevators, escalators, moving walks, etc. form.

It should be noted that the system specifically applied to the method for handling an abnormality of an intelligent elevator based on the Internet of Things in this application includes, but is not limited to, the above-mentioned intelligent elevator abnormality handling system, and can also be applied to integrate other intelligent elevator function modules, such as intelligent alarm, Intelligent voice, intelligent security and other intelligent elevator systems based on the Internet of Things, that is, as long as the system that can apply the intelligent elevator abnormality processing method in this application, belongs to the scope of protection and coverage of this application.

It can be understood that the method for handling abnormality of an intelligent elevator in this application can be applied to a user's home, office, office building, residential area, or office area, etc., that is, the geographic location and form of the application are not limited. It can also be understood that the above system architecture in FIG. 1 is only an implementation manner in the embodiments of the present application, and the system architectures in the embodiments of the present application include but are not limited to the above system architectures.

Referring to FIG. 2 , FIG. 2 is a schematic flowchart of a method for handling an abnormality of an intelligent elevator based on the Internet of Things provided by an embodiment of the present application. In the following, based on the system architecture of the IoT-based intelligent elevator exception handling provided in FIG. 2, an IoT-based intelligent elevator exception handling method in the embodiment of the present invention will be described in detail from the IoT server side. , the method is applied to a system including an Internet of Things server, an acceleration sensor and an intelligent elevator, and includes the following steps S201-S203.

Step S201: The Internet of Things server receives elevator acceleration information.

Specifically, the elevator acceleration information includes acceleration data of the smart elevator collected by the acceleration sensor. The acceleration information may also include the current operating parameters of the smart elevator, for example, the current speed of the smart elevator, the number of floors, the lifting height, and the carrying weight. It can be understood that the IoT server can actively obtain the IoT gateway. The elevator acceleration information can also be actively sent by the acceleration sensor to the IoT server through the IoT gateway. In a possible implementation manner, the elevator acceleration information received by the IoT server may also include data reported by other sensors, such as temperature and humidity sensors, odor gas sensors, security sensors, etc. to monitor whether the temperature and humidity in the smart elevator are suitable, current Whether there is an odor or whether someone has fallen, etc., so as to create a more comfortable elevator atmosphere for users.

Step S202: The IoT server determines whether the acceleration data exceeds a preset acceleration threshold.

Specifically, acceleration (Acceleration) is the ratio Δv/Δt of the amount of speed change to the time it takes for the change to occur, and is a physical quantity that describes the speed of an object's speed change, usually represented by a, and the unit is m/s ² . Acceleration is a vector whose direction is the direction in which the object's velocity changes (amount), in the same direction as the resultant external force. Generally speaking, the rated speed of the elevator is 2.5m/s, the acceleration of the elevator is greater than 0.65m/s square, and some elevators achieve 0.9-1m/s square, but if the acceleration speed is above 2.5m/s, it will make passengers feel sick. It can be understood that the present application also includes the case where the acceleration is negative, and when the acceleration is negative, it means that the direction of the acceleration is opposite to the direction of movement of the object. For example, in general, elevator failures mainly include rapid fall or rapid rise. At this time, the acceleration is positive. However, in some special cases, emergency stop will also occur. At this time, it is very likely that the acceleration is opposite to the elevator running direction. , so the acceleration at this time is negative.

Since the acceleration data can reflect the running state of the smart elevator, the IoT server can judge whether the elevator is running abnormally according to the acceleration data. It is beneficial to realize intelligent acquisition and analysis of elevator fault data, so as to ensure the personal safety of users who take the elevator.

Step S203: If it is determined that the acceleration data exceeds a preset acceleration threshold, the IoT server determines the elevator operation data corresponding to the acceleration data as abnormal operation, and generates a record of abnormal operation of the intelligent elevator.

Specifically, according to the judgment result in step S202, the IoT server judges the elevator operation data corresponding to the abnormal acceleration data as an abnormal operation, and generates a record of the abnormal operation of the intelligent elevator. The abnormal operation record may include the current parking position of the elevator, floor height, bearing weight, running speed, whether the power is cut off, etc., so as to facilitate the specific failure analysis in the background of the Internet of Things server.

In a possible implementation manner, the Internet of Things server calculates the time period with the highest abnormal operation frequency of the intelligent elevator according to the abnormal operation record, and records the corresponding abnormal situation; In the time period with the highest frequency, a load control instruction is sent to the intelligent elevator, and the load control instruction is used to instruct the intelligent elevator to adjust relevant parameters for the corresponding abnormal situation within the time period. By implementing the embodiments of the present application, the relevant parameters of the intelligent elevator can be adjusted during the peak period when abnormal conditions occur, so as to avoid the probability of abnormal conditions and improve the safety of the elevator. For example, during the rush hour in the morning, the elevator frequently goes up and down and is prone to failure, and the general reason is due to overloading. Therefore, during this time period, the upper limit of the carrying weight of the intelligent elevator can be appropriately adjusted to reduce the elevator weight. Abnormal situation caused by frequent up and down and heavy load in a short period of time. That is, the IoT server can prompt the smart elevator to lower the upper limit of the carrying weight during the time period that is prone to failure, so as to reduce the possibility of failure. For example, assuming that the upper limit of the standard load capacity of a smart elevator is 1500KG, the time period with the highest frequency can be generated at the time of failure, and the upper limit can be adjusted to 1200KG to avoid the aggravation of elevator failures, thereby ensuring the personal safety of users taking the elevator.

In this embodiment of the present application, elevator acceleration information is received through an IoT server, where the elevator acceleration information includes acceleration data of the smart elevator collected by the acceleration sensor; the IoT server determines whether the acceleration data exceeds a preset acceleration threshold ; If it is determined that the acceleration data exceeds the preset acceleration threshold, the Internet of Things server determines the elevator operation data corresponding to the acceleration data as abnormal operation, and generates a record of abnormal operation of the intelligent elevator. That is, in this application, the acceleration data of the elevator operation is obtained through the Internet of Things server, and it is judged whether the elevator is running abnormally according to the acceleration data. Protect the personal safety of users who take the elevator.

Referring to FIG. 3A , FIG. 3A is a schematic flowchart of another method for processing an abnormality of an intelligent elevator based on the Internet of Things provided by an embodiment of the present application. 3A and based on the system architecture of the IoT-based smart elevator control provided in FIG. 1, from the IoT server side, acceleration sensor, infrared sensor, alarm, target terminal equipment, IoT gateway, smart elevator The interactive side introduces in detail another IoT-based intelligent elevator abnormality processing method in the embodiment of the present invention. The method is applied to a system including an IoT server, an acceleration sensor, and an intelligent elevator, and includes the following steps S301-S311.

Optionally, this embodiment of the present application may further include the following steps S301 and S302.

S301: The acceleration sensor sends the acceleration data of the smart elevator to the IoT gateway.

Specifically, the acceleration sensor periodically sends acceleration data of the smart elevator to the IoT gateway.

S302: The IoT gateway forwards the acceleration data to the IoT server.

Specifically, after receiving the acceleration data of the smart elevator reported by the acceleration sensor, the IoT gateway may forward the acceleration data to the IoT server after relevant processing.

S303: The Internet of Things server receives elevator acceleration information, where the elevator acceleration information includes acceleration data of the smart elevator collected by the acceleration sensor.

S304: The IoT server determines whether the acceleration data exceeds a preset acceleration threshold.

S305: If it is determined that the acceleration data exceeds a preset acceleration threshold, the Internet of Things server determines the elevator operation data corresponding to the acceleration data as abnormal operation, and generates a record of abnormal operation of the intelligent elevator.

Specifically, for steps S303 to S305, reference may be made to steps S201 to S203 in the above-mentioned embodiment of FIG. 2 , which will not be repeated here.

S306: If it is determined that the acceleration data exceeds the preset acceleration threshold, the IoT server sends an emergency protection instruction to the smart elevator, where the emergency protection instruction is used to instruct and control the smart elevator to perform parking on all floors operate.

Specifically, at the same time as or before or after the abnormal operation record of the intelligent elevator is generated in step S305, the IoT server also sends an emergency protection instruction to the intelligent elevator. When there is a rapid fall or rapid ascent, turn on the stop buttons on all floors, so that the elevator system can be stopped at the moment when the elevator system returns to normal, so as to avoid more serious accidents. Therefore, the emergency protection instructions in this step are used to indicate and control the Smart elevators perform parking operations on all floors. It can be understood that step S306 and step S305 are executed in no particular order. As long as it is determined that the acceleration data exceeds the preset acceleration threshold, the execution is performed at the same time as or after the acceleration data, which is not specifically limited in the present invention.

S307: The infrared sensor sends the collected infrared monitoring data to the IoT server; the IoT server receives the infrared monitoring data sent by the infrared sensor.

Specifically, the IoT server can also obtain infrared monitoring data inside the smart elevator synchronously, because whether there is someone in the elevator may affect the emergency operation of the elevator. It can be understood that this step may not be obtained only when it is judged that the elevator is abnormal, and can also be obtained when the elevator is running normally. It is more reliable to use infrared sensor monitoring data to judge whether there is someone in the elevator than the camera device in the elevator to check whether there is someone, because when the elevator fails, the circuit or the camera device is often damaged under severe impact, and the sensor is due to It is small in size and the installation position is relatively concealed, which can protect it from being damaged, and is more conducive to obtaining key information in the event of an abnormality.

S308: If it is determined that the acceleration data exceeds a preset acceleration threshold, the IoT server determines whether there is a person in the smart elevator according to the infrared monitoring data.

Specifically, when the IoT server determines that the smart elevator is faulty or abnormal, the IoT server determines whether there is someone in the smart elevator according to the data obtained in step S307.

S309: If the Internet of Things server determines that there is a person in the smart elevator, send an alarm instruction to the alarm; the alarm receives the alarm instruction and executes a preset alarm operation.

Specifically, if it is determined that someone is there, the relevant alarm device may only issue an alarm, so as to urge the relevant elevator management personnel or security guards to investigate potential safety hazards, or to carry out rescue operations.

S310: If the IoT server determines that there is no one in the intelligent elevator, it sends a stop operation instruction to the intelligent elevator, and the stop operation instruction is used to instruct the intelligent elevator to perform a power-off operation; the intelligent elevator The stop operation instruction is received, and a power-off operation is performed.

Specifically, when the IoT server determines that there is no one in the elevator according to the infrared sensor monitoring data, it can instruct the elevator to protect itself and stop running, that is, the power-off operation, so as to prevent the user from continuing to be unaware of the situation in the future. Continuing to use it under the hood will cause a safety accident, and at the same time, it will also prevent the elevator from being damaged due to the abnormal operation of the elevator.

S311: The Internet of Things server sends the abnormal operation record to a target terminal device, where the target terminal device is a terminal device that is pre-bound with the Internet of Things server; the target terminal device receives the abnormal operation Situation records.

Specifically, the IoT server sends the abnormal operation record to the target terminal device. The target terminal device is a terminal device that has been bound with the IoT server in advance. It can be understood that the target terminal device is a terminal device dedicated to relevant elevator supervisors. , or a special equipment of a supervision center, the purpose is to allow people who use the target terminal equipment to check in time and take corresponding measures for the abnormal operation of the elevator.

For example, as shown in FIG. 3B , FIG. 3B is a specific application scenario diagram of the IoT-based intelligent elevator exception handling method provided by the embodiment of the present application. In FIG. 3B , the relevant management personnel can use the information source provided by the IoT server. You can also check the abnormal operation records of the faulty elevators in the elevator system through the relevant target terminal equipment, which is convenient for the elevator safety management personnel to trace and supervise the abnormality and ensure the personal safety of the elevator passengers.

The embodiment of the present application not only retains the beneficial effects of the embodiment corresponding to FIG. 2 , but also further provides a reasonable solution for abnormal handling of intelligent elevators for various common situations after elevator failure, which is further conducive to the realization of Intelligently acquire and analyze elevator fault data to ensure the personal safety of users who take the elevator.

In order to facilitate better implementation of FIG. 1 to FIG. 3A (corresponding to the IoT-based intelligent elevator abnormality processing method in the embodiments of the present application, the present application also provides related equipment for implementing the above method.

Please refer to FIG. 4 . FIG. 4 is a schematic structural diagram of an IoT-based intelligent elevator abnormality processing device provided by an embodiment of the present application. The device is applied to a system including an IoT server, an acceleration sensor and a smart elevator. As shown in FIG. 4 , the device 10 includes: a first receiving module 101 , a first judging module 102 and a generating module 103 , wherein

The first receiving module 101 is used for receiving elevator acceleration information, and the elevator acceleration information includes the acceleration data of the intelligent elevator collected by the acceleration sensor;

a first judgment module 102, configured to judge whether the acceleration data exceeds a preset acceleration threshold;

The generating module 103 is configured to, if it is determined that the acceleration data exceeds a preset acceleration threshold, determine the elevator operation data corresponding to the acceleration data as abnormal operation, and generate a record of abnormal operation of the intelligent elevator.

Specifically, as shown in the dotted box in FIG. 4 , the apparatus 10 further includes:

The first sending module 104 is used for, if it is judged that the acceleration data exceeds the preset acceleration threshold, the IoT server sends an emergency protection instruction to the intelligent elevator, and the emergency protection instruction is used to instruct and control the intelligent elevator Dock operations are performed on all floors.

Further, as shown in the dotted box in FIG. 4 , the apparatus 10 further includes:

The second sending module 105 sends the abnormal operation record to a target terminal device, where the target terminal device is a terminal device that is pre-bound with the Internet of Things server.

Still further, the system also includes an alarm and an infrared sensor installed in the intelligent elevator. As shown in the dotted box in FIG. 4 , the device 10 further includes:

The second receiving module 106 is configured to receive the infrared monitoring data sent by the infrared sensor;

The second judging module 107 is configured to judge whether there is a person in the intelligent elevator according to the infrared monitoring data if it is judged that the acceleration data exceeds a preset acceleration threshold;

The third sending module 108 is configured to determine that there is a person in the intelligent elevator, and then send an alarm instruction to the alarm device, where the alarm command is used to instruct the alarm device to perform a preset alarm operation.

Still further, as shown in the dotted box in FIG. 4 , the apparatus 10 further includes:

The fourth sending module 109 is configured to send a stop operation instruction to the intelligent elevator if it is determined that there is no one in the intelligent elevator, and the stop operation instruction is used to instruct the intelligent elevator to perform a power-off operation.

Still further, the device 10 also includes:

a calculation module, configured to calculate the time period with the highest abnormal operation frequency of the intelligent elevator according to the record of the abnormal operation and record the corresponding abnormal situation;

The fifth sending module is used to send a load control instruction to the intelligent elevator in the time period with the highest frequency, and the load control instruction is used to instruct the intelligent elevator to target the corresponding abnormal situation in the time period Adjust related parameters.

In this embodiment of the present application, the IoT-based intelligent elevator abnormality processing device 10 is presented in the form of modules or units. A "module" or "unit" herein may refer to an application-specific integrated circuit (ASIC), a processor and memory executing one or more software or firmware programs, an integrated logic circuit, and/or others that may provide the above functional device. In addition, the first judgment module 102, the generation module 103, the second judgment module 107 and the calculation module can be implemented by the processor 201 of the IoT server shown in FIG. 5, the first receiving module 101, the first sending module 104, the first The second sending module 105 , the second receiving module 106 , the third sending module 108 , the fourth sending module 109 and the fifth sending module can be implemented by controlling the communication interface 203 by the processor 201 of the IoT server shown in FIG. 5 .

It should be noted that, for the functions of each functional module or unit in the apparatus 10 described in the embodiments of the present application, reference may be made to the relevant descriptions of the method embodiments described above in FIG. 1 to FIG. 3A , and details are not repeated here.

Referring to FIG. 5, FIG. 5 is a schematic structural diagram of an IoT server provided by an embodiment of the present application. The IoT server 20 provided by an embodiment of the present application may be implemented with the structure in FIG. 5, and the IoT server 20 includes at least one processing 201, at least one memory 202, at least one communication interface 203. In addition, the IoT-based intelligent elevator abnormality processing device may also include general components such as an antenna, which will not be described in detail here.

The processor 201 may be a general-purpose central processing unit (CPU), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits for controlling the execution of programs in the above solutions.

The communication interface 203 is used to communicate with other devices or communication networks, such as Ethernet, Radio Access Network (RAN), Wireless Local Area Networks (Wireless Local Area Networks, WLAN).

Memory 202 may be read-only memory (ROM) or other type of static storage device that can store static information and instructions, random access memory (RAM), or other type of static storage device that can store information and instructions The dynamic storage device can also be an Electrically Erasable Programmable Read-Only Memory (EEPROM), a Compact Disc Read-Only Memory (CD-ROM) or other optical disk storage, optical disk storage ( including compact discs, laser discs, compact discs, digital versatile discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or capable of carrying or storing desired program code in the form of instructions or data structures and capable of being stored by a computer any other medium taken, but not limited to this. The memory can exist independently and be connected to the processor through a bus. The memory can also be integrated with the processor.

Wherein, the memory 202 is used for storing the application program code for executing the above solution, and the execution is controlled by the processor 201 . The processor 201 is configured to execute the application program codes of all IoT-based intelligent elevator exception handling methods provided in the present application stored in the memory 202 .

The code stored in the memory 202 of the IoT server shown in FIG. 5 can execute any of the IoT-based intelligent elevator exception handling methods provided in FIGS. 1 to 3A in the embodiments of the present application, such as the IoT server. Receive elevator acceleration information, which includes the acceleration data of the intelligent elevator collected by the acceleration sensor; the Internet of Things server judges whether the acceleration data exceeds the preset acceleration threshold; if it is judged that the acceleration data exceeds With a preset acceleration threshold, the Internet of Things server determines the elevator operation data corresponding to the acceleration data as an abnormal operation, and generates a record of the abnormal operation of the intelligent elevator.

Embodiments of the present application further provide a computer storage medium, wherein the computer storage medium may store a program, and when the program is executed, the program includes any part or part of any of the IoT-based intelligent elevator abnormality processing methods described in the above method embodiments. all steps.

The embodiment of the present application also provides a computer program, the computer program includes instructions, when the computer program is executed by the computer, the computer can execute part or all of the steps of any method for abnormal handling of an intelligent elevator based on the Internet of Things.

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

It should be noted that, for the sake of simple description, the foregoing method embodiments are all expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited by the described action sequence. Because in accordance with the present application, certain steps may be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the device embodiments described above are only illustrative. For example, the division of the above-mentioned units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated. to another system, or some features can be ignored, or not implemented. On the other hand, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, and may be in electrical or other forms.

The above-mentioned units described as separate components may or may not be physically separated, and components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution in this embodiment.

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

If the above-mentioned integrated units are implemented in the form of software functional units and sold or used as independent products, they may be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the present application can be embodied in the form of software products in essence, or the parts that contribute to the prior art, or all or part of the technical solutions, and the computer software products are stored in a storage medium , including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc., specifically a processor in the computer device) to execute all or part of the steps of the foregoing methods in the various embodiments of the present application. Wherein, the aforementioned storage medium may include: U disk, mobile hard disk, magnetic disk, optical disk, read-only memory (Read-Only Memory, abbreviation: ROM) or random access memory (Random Access Memory, abbreviation: RAM) and so on. A medium that can store program code.

As mentioned above, the above embodiments are only used to illustrate the technical solutions of the present application, but not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand: The technical solutions described in the embodiments are modified, or some technical features thereof are equivalently replaced; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions in the embodiments of the present application.

Claims (9)

1. an abnormal processing method for an intelligent elevator based on the Internet of Things, is characterized in that, is applied in the system comprising the Internet of Things server, acceleration sensor and intelligent elevator, and the method comprises: The Internet of Things server receives elevator acceleration information, and the elevator acceleration information includes acceleration data of the smart elevator collected by the acceleration sensor; The Internet of Things server determines whether the acceleration data exceeds a preset acceleration threshold; If it is determined that the acceleration data exceeds the preset acceleration threshold, the Internet of Things server determines the elevator operation data corresponding to the acceleration data as abnormal operation, and generates a record of abnormal operation of the intelligent elevator; The Internet of Things server calculates the time period with the highest abnormal operation frequency of the intelligent elevator according to the abnormal operation record, and records the corresponding abnormal situation; The Internet of Things server sends a load control instruction to the intelligent elevator in the time period with the highest frequency, and the load control instruction is used to instruct the intelligent elevator to perform correlation for the corresponding abnormal situation within the time period. Parameter adjustment, when the abnormal situation is overload, the adjustment of the relevant parameters for the corresponding abnormal situation includes lowering the upper limit of the bearing weight of the intelligent elevator; The system also includes an alarm and an infrared sensor installed in the intelligent elevator; the method further includes: The Internet of Things server receives the infrared monitoring data sent by the infrared sensor; If it is determined that the acceleration data exceeds a preset acceleration threshold, the IoT server determines whether there is someone in the smart elevator according to the infrared monitoring data; If the Internet of Things server determines that there is a person in the smart elevator, it sends an alarm instruction to the alarm, where the alarm instruction is used to instruct the alarm to perform a preset alarm operation. 2. The method according to claim 1, wherein the method further comprises: If it is determined that the acceleration data exceeds a preset acceleration threshold, the IoT server sends an emergency protection instruction to the smart elevator, where the emergency protection instruction is used to instruct and control the smart elevator to perform parking operations on all floors. 3. The method according to claim 1, wherein the method further comprises: The IoT server sends the abnormal operation record to a target terminal device, where the target terminal device is a terminal device that is pre-bound with the IoT server. 4. The method according to claim 1, wherein the method further comprises: If the Internet of Things server determines that there is no one in the intelligent elevator, it sends a stop operation instruction to the intelligent elevator, and the stop operation instruction is used to instruct the intelligent elevator to perform a power-off operation. 5. An intelligent elevator abnormality processing device based on the Internet of Things, characterized in that it is applied in a system comprising an Internet of Things server, an acceleration sensor and an intelligent elevator, and the device comprises: a first receiving module, configured to receive elevator acceleration information, where the elevator acceleration information includes acceleration data of the intelligent elevator collected by the acceleration sensor; a first judging module for judging whether the acceleration data exceeds a preset acceleration threshold; A generating module, configured to judge the elevator operation data corresponding to the acceleration data as abnormal operation if it is judged that the acceleration data exceeds the preset acceleration threshold, and generate a record of the abnormal operation of the intelligent elevator; a calculation module, configured to calculate the time period with the highest abnormal operation frequency of the intelligent elevator according to the record of the abnormal operation and record the corresponding abnormal situation; The fifth sending module is used to send a load control instruction to the intelligent elevator in the time period with the highest frequency, and the load control instruction is used to instruct the intelligent elevator to target the corresponding abnormal situation in the time period Adjust related parameters; The system also includes an alarm and an infrared sensor installed in the intelligent elevator; the device further includes: a second receiving module, configured to receive infrared monitoring data sent by the infrared sensor; a second judging module, configured to judge whether there is someone in the smart elevator according to the infrared monitoring data if it is judged that the acceleration data exceeds a preset acceleration threshold; The third sending module is used for judging that there is someone in the intelligent elevator, then sending an alarm instruction to the alarm device, and the alarm command is used to instruct the alarm device to perform a preset alarm operation; When the abnormal condition is overload, the aspect of adjusting the relevant parameters for the corresponding abnormal condition includes lowering the upper limit of the bearing weight of the intelligent elevator. 6. The apparatus according to claim 5, wherein the apparatus further comprises: The first sending module is used for, if it is judged that the acceleration data exceeds the preset acceleration threshold, the Internet of Things server sends an emergency protection instruction to the intelligent elevator, and the emergency protection instruction is used to instruct and control the intelligent elevator in All floors are docked. 7. The apparatus of claim 5, wherein the apparatus further comprises: The second sending module sends the abnormal operation record to a target terminal device, where the target terminal device is a terminal device that is pre-bound with the Internet of Things server. 8. The apparatus of claim 5, wherein the apparatus further comprises: The fourth sending module is configured to send a stop operation instruction to the intelligent elevator if it is determined that there is no one in the intelligent elevator, and the stop operation instruction is used to instruct the intelligent elevator to perform a power-off operation. 9. An Internet of Things server, comprising: memory in which executable program code is stored; a processor coupled to the memory; The processor invokes the executable program code stored in the memory to execute the method according to any one of claims 1 to 4.

Images