WO2023213097A1

WO2023213097A1 - Online monitoring and analyzing system for energy consumption of elevator

Info

Publication number: WO2023213097A1
Application number: PCT/CN2023/071198
Authority: WO
Inventors: 马鹏宇; 黄金福; 刘栋; 梁海权; 李志武
Original assignee: 日立楼宇技术（广州）有限公司
Priority date: 2022-05-06
Filing date: 2023-01-09
Publication date: 2023-11-09
Also published as: CN114988241A; CN114988241B

Abstract

An online monitoring and analyzing system (200) for energy consumption of an elevator. The system (200) analyzes, in real time, energy consumption states of the current elevator in different use states by means of an elevator energy consumption analysis module (204), and provides a more targeted statistical analysis result in view of the specific usage situation of the elevator, thereby realizing intelligent operation of the elevator. The system (200) comprises: a video recognition module (201), an elevator state detection module (202), an elevator energy consumption monitoring module (203) and an elevator energy consumption analysis module (204), wherein the video recognition module (201) is used for acquiring an elevator monitoring video and performing calculation according to the elevator monitoring video to obtain elevator load state information; the elevator state detection module (202) is connected to an elevator control system and is used for acquiring elevator operation state information from the elevator control system; the elevator energy consumption monitoring module (203) is used for collecting elevator energy consumption data; and the elevator energy consumption analysis module (204) is used for analyzing the elevator energy consumption data on the basis of the elevator load state information and the elevator operation state information, so as to obtain energy consumption statistical results in different elevator usage modes.

Description

Elevator energy consumption online monitoring and analysis system

Technical field

The present application relates to the field of elevator control technology, and in particular to an elevator energy consumption online monitoring and analysis system.

Background technique

With the application and development of Internet of Things technology in all walks of life, elevator control technology is gradually developing in an intelligent direction. Various sensing devices are used in the field of elevator control to realize intelligent monitoring and intelligent adjustment of elevators.

At present, energy consumption monitoring systems for elevators generally obtain real-time status parameters of the elevator such as elevator current and voltage waveforms through detection devices, analyze and process these data, and calculate the real-time energy consumption status of the elevator.

However, since the energy consumption of elevators is affected by the usage scenarios of the elevators, for example, the energy consumption status patterns of elevators installed in shopping malls are quite different from those installed in residential areas, the existing energy consumption monitoring system cannot be combined with the specific usage scenarios. Realize intelligent control.

Contents of the invention

Based on this, it is necessary to provide an online monitoring and analysis system for elevator energy consumption in response to the above technical problems.

This application provides an online monitoring and analysis system for elevator energy consumption. The system includes a video recognition module, an elevator status detection module, an elevator energy consumption monitoring module and an elevator energy consumption analysis module, wherein,

The video recognition module is used to obtain the elevator monitoring video and calculate the elevator load status information based on the elevator monitoring video;

The elevator status detection module is connected to the elevator control system and is used to obtain elevator operating status information from the elevator control system;

The elevator energy consumption detection module is used to collect elevator energy consumption data;

The elevator energy consumption analysis module is used to analyze the elevator energy consumption data based on the elevator load status information and the elevator operating status information, and obtain energy consumption statistical results under different elevator use modes.

In one embodiment, the elevator energy consumption analysis module includes a data statistics sub-module;

The data statistics sub-module is used to perform statistical analysis on the elevator load status information, the elevator operating status information and the elevator energy consumption data, and obtain data statistical results; wherein the data statistical results include average operating energy consumption, At least one of start-stop energy consumption, cycle operation energy consumption, standby energy consumption, peak hour operation energy consumption, and peak energy consumption.

In one embodiment, the elevator energy consumption analysis module includes an energy consumption comparison submodule;

The energy usage comparison sub-module is used to compare based on the data statistical results to obtain the energy usage difference; and determine the elevator dispatching strategy based on the energy usage difference.

In one embodiment, the elevator energy consumption analysis module includes a real-time display sub-module;

The real-time display sub-module is used to display the elevator load status information, the elevator operating status information, the elevator energy consumption data and the energy consumption statistical results.

In one embodiment, the elevator energy consumption analysis module includes an alarm output submodule;

The alarm output sub-module is used to determine whether the energy consumption statistical results meet the preset mode thresholds in different elevator modes, generate alarm information, and send the alarm information to the processing end.

In one embodiment, the alarm output sub-module is further configured to send the alarm information to the processing end through a preset alarm method; wherein the preset alarm method includes at least WeChat, SMS, and email. A sort of.

In one embodiment, the video recognition module is further used to identify the number of elevator users in the elevator monitoring video, and calculate the average waiting time and the average elevator running interval based on the number of elevator users.

In one embodiment, the elevator operating status information includes at least one of the elevator stopping time, elevator start and stop status, elevator up and down status, and elevator door opening and closing status; the elevator status detection module is further configured to detect The average running times and average running time are calculated based on the above elevator running status information.

In one embodiment, the elevator energy consumption data includes at least one of supply voltage, supply current, three-phase harmonics, forward energy usage, reverse energy usage, active power, and reactive power.

In one embodiment, the video recognition module is further used to obtain the elevator monitoring video through a camera device in the car or a camera device in the waiting hall.

The above-mentioned elevator energy consumption online monitoring and analysis system includes a video identification module, an elevator status detection module, an elevator energy consumption monitoring module and an elevator energy consumption analysis module. Among them, the video identification module is used to obtain the elevator monitoring video and calculate it based on the elevator monitoring video. Elevator load status information; elevator status detection module, connected to the elevator control system, used to obtain elevator operating status information from the elevator control system; elevator energy consumption detection module, used to collect elevator energy consumption data; elevator energy consumption analysis module, used to Based on the elevator load status information and elevator operating status information, the elevator energy consumption data is analyzed and the energy consumption statistical results under different elevator usage modes are obtained. The system uses the elevator energy consumption analysis module to analyze the energy consumption status of the current elevator under different usage conditions in real time. It can provide more accurate and targeted information for different elevator usage modes (i.e., working conditions) based on the specific use occasions of the elevator. The statistical analysis results enable intelligent elevator operation.

Description of the drawings

Figure 1 is an application environment diagram of the elevator energy consumption online monitoring and analysis system in one embodiment;

Figure 2 is a system structure diagram of an elevator energy consumption online monitoring and analysis system in one embodiment;

Figure 3 is a system structure diagram of an elevator energy consumption online monitoring and analysis system in another embodiment;

Figure 4 is an internal structure diagram of a computer device in one embodiment;

Figure 5 is an internal structure diagram of a computer device in another embodiment.

Detailed ways

In order to make the purpose, technical solutions and advantages of the present application more clear, the present application will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application and are not used to limit the present application.

The elevator energy consumption online monitoring and analysis system provided by the embodiment of the present application can be applied in the application environment as shown in Figure 1. Among them, the terminal 101 communicates with the server 102 through the network. The terminal 101 can be various sensing devices installed in the elevator car or waiting hall, including but not limited to various types of camera devices, various personal computers, laptops, smart phones, tablets, Internet of Things devices and portable devices. The wearable device and the data storage system can store the data that the server 102 needs to process. The data storage system can be integrated on the server 102, or placed on the cloud or other network servers. The server 102 can be implemented as an independent server or a server cluster composed of multiple servers.

In one embodiment, as shown in Figure 2, an elevator energy consumption online monitoring and analysis system 200 is provided. The system includes: a video recognition module 201, an elevator status detection module 202, an elevator energy consumption monitoring module 203 and an elevator energy consumption monitoring module. Analysis module 204, wherein,

The video recognition module 201 is used to obtain the elevator monitoring video and calculate the elevator load status information based on the elevator monitoring video;

Among them, the elevator load status information refers to the number of people currently riding the elevator; further, it may also include the number of people waiting for the elevator.

Specifically, the above-mentioned video recognition module 201 is used to record the specific number of passengers every time the elevator runs. Specifically, if there is a camera device in the elevator car, the current image in the elevator can be directly captured by the camera device and sent to the above-mentioned video recognition module 201. The video recognition module can identify the number of people in the image through the face recognition algorithm, thereby Obtain the current number of passengers in the elevator; if there is no camera device in the car, you can obtain the video stream of people entering and exiting the car door by setting up a camera device in the waiting hall of each floor, and then deduce the actual number of people in the car from the video frames The number of people taking the elevator. For example, if there are 10 people entering elevator A at the waiting hall on the first floor, 3 people exiting the elevator on the second floor, and 5 people exiting the elevator when reaching the third floor, then it can be deduced that elevator A is There are 10 people on the elevator when it is running from the 1st floor to the 2nd floor, and 7 people are on the elevator when it is running from the 2nd floor to the 3rd floor; further, the video recognition module 201 can also obtain the waiting list of elevators through the video recognition algorithm. The actual waiting time of a single person in the hall from entering the waiting hall to leaving by elevator is calculated, and the average waiting time (AWT, Average Wait Time) of all waiting persons and the average running interval AI (Average Interval) of the elevator are calculated.

Among them, the elevator operating status information refers to various status information of the elevator, including elevator parking floor, elevator start and stop status, elevator up and down status, elevator door opening and closing status and other working condition information. Further, the above-mentioned elevator operating status information includes at least one of the elevator stopping time, elevator start and stop status, elevator up and down status, and elevator door opening and closing status;

Specifically, the above-mentioned elevator status detection module 202 is connected to the elevator control system and can obtain various status information of the elevator from the elevator control system, including the elevator stopping floor, the elevator start and stop status, the elevator up and down status, the elevator door opening and closing status and other working conditions. information, and cumulatively calculate the average number of elevator runs and average running time per day.

Among them, elevator energy consumption data refers to the physical parameters required for elevator operation, including elevator supply voltage, supply current, three-phase harmonics, active/reactive power, forward/reverse energy consumption and other various types of elevator operating conditions. physical parameters;

Specifically, the elevator energy consumption detection module 203 collects the above-mentioned physical parameters through multi-functional power meters, especially in situations such as energy feedback, collects and stores the above-mentioned physical parameters according to trigger conditions, and provides them to the elevator energy The consumption analysis module 204 performs comprehensive analysis.

Among them, the elevator usage mode, usually called the working condition, refers to the different application scenarios of the elevator. For example, the operating modes of elevators in office buildings and elevators in residential buildings are very different. The peak use of elevators in office buildings is concentrated in In the morning and early morning, residential buildings do not have as obvious peak use of stairs as office buildings. Therefore, it is necessary to monitor the energy consumption of elevators according to different working conditions, so as to provide sufficient power support for the good operation of the elevator in a timely manner.

Specifically, the above-mentioned elevator energy consumption analysis module 204 can receive data collected by each module from the above-mentioned video recognition module 201, elevator status detection module 202 and elevator energy consumption detection module 203, and automatically record the elevator load during each elevator operation. Status information (such as the number of passengers), elevator operating status information (such as door opening and closing status), and elevator energy consumption data (such as voltage, current, etc.). Further, the elevator energy consumption analysis module 204 can perform real-time data display, and perform statistical analysis on the elevator energy consumption data based on the elevator load status information and elevator operating status information to obtain the results of different elevators, different time periods, and different working conditions. Energy consumption comparison, and alarm can be issued according to the energy consumption threshold specified by the elevator manager.

The above embodiment provides an elevator energy consumption online monitoring and analysis system, which includes a video identification module, an elevator status detection module, an elevator energy consumption monitoring module, and an elevator energy consumption analysis module. The video identification module is used to obtain elevator monitoring videos. , calculate the elevator load status information based on the elevator monitoring video; the elevator status detection module is connected to the elevator control system and is used to obtain elevator operating status information from the elevator control system; the elevator energy consumption detection module is used to collect elevator energy consumption data; the elevator The energy consumption analysis module is used to analyze elevator energy consumption data based on elevator load status information and elevator operating status information, and obtain energy consumption statistical results under different elevator usage modes. The system uses the elevator energy consumption analysis module to analyze the energy consumption status of the current elevator under different usage conditions in real time. It can provide more accurate and targeted information for different elevator usage modes (i.e., working conditions) based on the specific use occasions of the elevator. The statistical analysis results enable intelligent elevator operation.

In one embodiment, as shown in Figure 3, an elevator energy consumption online monitoring and analysis system 200 is also provided, in which the elevator energy consumption analysis module 204 includes a data statistics sub-module 2041;

The data statistics sub-module 2041 is used to conduct statistical analysis on the elevator load status information, elevator operating status information and elevator energy consumption data, and obtain data statistical results; among which, the data statistical results include average operating energy consumption, start-stop energy consumption, and cycle operation. At least one of energy consumption, standby energy consumption, operating energy consumption during peak hours, and peak energy consumption.

Specifically, the elevator energy consumption analysis module 204 is mainly used for data statistics and analysis. Among them, the data statistics sub-module 2041 is used to integrate relevant data such as elevator load status information, elevator operating status information, and elevator energy consumption data into a form that can be used Further analyze new data sources and perform specific data statistical operations according to needs. For example, determine the elevator's single running time based on the elevator's start and stop times; determine the elevator's single running distance through the elevator side departure and landing floors. And it can further calculate the average operating energy consumption per meter, start-stop energy consumption, cycle operation energy consumption, daily operating energy consumption, daily standby energy consumption, daily total energy consumption, elevator peak and idle operation and other specific periods of time. Energy consumption, time point statistics of peak energy consumption, etc. Examples of statistical results are shown in Table 1:

Table 1 Energy consumption statistical results

In the above embodiment, by setting up a data statistics sub-module to integrate elevator load status information, elevator operating status information and elevator energy consumption data, data mining can be realized through preset algorithms from the collected real-time data, providing effective data for elevator managers. support.

In one embodiment, the elevator energy consumption analysis module 204 includes an energy usage comparison sub-module 2042; the energy usage comparison sub-module 2042 is used to compare based on data statistical results to obtain energy usage differences; and determine the elevator dispatching strategy based on the energy usage differences.

Specifically, the energy usage comparison sub-module 2042 is used to compare according to different elevators, different time periods, and different operating conditions (divided by load status, up and down, elevator dispatching rules, etc.) to find the energy usage between different elevators. difference. For example, through comparison, it can be seen that elevator group A (including multiple elevators) reaches peak power consumption in the morning and afternoon, and higher electric energy is provided to elevator group A at this time so that the elevators can increase speed or efficiency during this period.

In the above embodiment, the energy consumption difference under different working conditions is analyzed through the energy consumption comparison sub-module, which can provide optimization strategies for elevator dispatching, for example, different building types (such as office buildings, hospitals, residential buildings, bus stations, etc.), etc. Factors lead to large differences in the use intensity of elevators, and the distribution of empty-load and full-load rates are also different. Therefore, different elevator dispatching strategies will be adopted. The average wait time (AWT) and average operating interval under different strategies can be used Time AI and elevator energy consumption are used to comprehensively evaluate the advantages and disadvantages of the elevator dispatching strategy, and make balance and trade-offs, providing a decision-making basis for elevator selection in new buildings and elevator renovation in old buildings.

In one embodiment, the above-mentioned elevator energy consumption analysis module 204 includes a real-time display sub-module 2043; the real-time display sub-module 2043 is used to display elevator load status information, elevator operating status information, elevator energy consumption data and energy consumption statistical results.

Specifically, the real-time display sub-module 2043 is used to synchronously display the elevator's current power supply, current, accumulated energy consumption and other energy consumption information, elevator operation information and load (number of passengers) information, etc.

In the above embodiment, the real-time display sub-module 2043 provides a visual window for elevator managers to adjust the elevator dispatching strategy in a timely manner.

In one embodiment, the above-mentioned elevator energy consumption analysis module 204 includes an alarm output sub-module 2044; the alarm output sub-module 2044 is used to determine whether the energy consumption statistical results meet the preset mode thresholds in different elevator modes, and generate an alarm. information and send the alarm information to the processing end.

Further, the above-mentioned alarm output sub-module is further used to send alarm information to the processing end through a preset alarm method; wherein the preset alarm method includes at least one of WeChat, SMS, and email.

Specifically, the alarm output sub-module 2044 is used to perform multi-level alarms according to the specified working condition energy consumption threshold. The working conditions can be freely combined according to the elevator up and down, load (number of passengers) status, operating period, and based on expert experience. Or set the corresponding alarm threshold based on the reference value of the ideal working condition, and perform hierarchical alarm processing according to the set severity level. Alarm methods can be sent via WeChat, SMS, email, etc.

In the above embodiment, by setting the alarm output sub-module, timely reminder services can be provided for elevator management and the elevator operation efficiency can be improved. When a building's internal layout or use changes, the original elevator dispatching strategy may not meet the new passenger flow model, causing problems such as increased overall energy consumption or increased waiting time. In this case, the above-mentioned user can be used to It can compare the functions to find changes or abnormalities, and prompt the manager through the alarm output function; after adjusting the special elevator dispatching strategy for the above changes, the elevator's comprehensive energy consumption and other representative information can be observed again to evaluate whether the elevator dispatching strategy is Reasonable.

Each module in the above-mentioned online monitoring and analysis of elevator energy consumption can be realized in whole or in part through software, hardware and their combination. Each of the above modules may be embedded in or independent of the processor of the computer device in the form of hardware, or may be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in Figure 4 . The computer device includes a processor, memory, and network interfaces connected through a system bus. Wherein, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes non-volatile storage media and internal memory. The non-volatile storage medium stores operating systems, computer programs and databases. This internal memory provides an environment for the execution of operating systems and computer programs in non-volatile storage media. The database of the computer device is used to store elevator load status information, elevator operating status information, elevator energy consumption data, and energy consumption statistical results under different elevator use modes. The network interface of the computer device is used to communicate with external terminals through a network connection. When the computer program is executed by the processor, the method implemented by the above-mentioned elevator energy consumption online monitoring and analysis system can be implemented.

In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be shown in Figure 5. It is used to implement the functions that the above-mentioned elevator energy consumption online monitoring and analysis system can implement. The computer equipment includes a processor, memory, communication interface, display screen and input device connected by a system bus. Wherein, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes non-volatile storage media and internal memory. The non-volatile storage medium stores operating systems and computer programs. This internal memory provides an environment for the execution of operating systems and computer programs in non-volatile storage media. The communication interface of the computer device is used for wired or wireless communication with external terminals. The wireless mode can be implemented through WIFI, mobile cellular network, NFC (Near Field Communication) or other technologies. The display screen of the computer device may be a liquid crystal display or an electronic ink display. The input device of the computer device may be a touch layer covered on the display screen, or may be a button, trackball or touch pad provided on the computer device shell. , it can also be an external keyboard, trackpad or mouse, etc.

Those skilled in the art can understand that the structures shown in Figures 4 to 5 are only block diagrams of partial structures related to the solution of the present application, and do not constitute a limitation on the computer equipment to which the solution of the present application is applied. Specific computers Devices may include more or fewer components than shown in the figures, or some combinations of components, or have different arrangements of components.

It should be noted that the user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all It is information and data authorized by the user or fully authorized by all parties.

Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage. In the media, when executed, the computer program may include the processes of the above method embodiments. Any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive memory (ReRAM), magnetic variable memory (Magnetoresistive Random Access Memory (MRAM), ferroelectric memory (Ferroelectric Random Access Memory, FRAM), phase change memory (Phase Change Memory, PCM), graphene memory, etc. Volatile memory may include random access memory (Random Access Memory, RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in many forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM). The databases involved in the various embodiments provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include blockchain-based distributed databases, etc., but are not limited thereto. The processors involved in the various embodiments provided in this application may be general-purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to this.

The technical features of the above embodiments can be combined in any way. To simplify the description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, all possible combinations should be used. It is considered to be within the scope of this manual.

The above-described embodiments only express several implementation modes of the present application, and their descriptions are relatively specific and detailed, but should not be construed as limiting the patent scope of the present application. It should be noted that, for those of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all fall within the protection scope of the present application. Therefore, the scope of protection of this application should be determined by the appended claims.

Claims

An online elevator energy consumption monitoring and analysis system, characterized in that the system includes a video recognition module, an elevator status detection module, an elevator energy consumption monitoring module and an elevator energy consumption analysis module, wherein,

The video recognition module is used to obtain the elevator monitoring video and calculate the elevator load status information based on the elevator monitoring video;

The elevator status detection module is connected to the elevator control system and is used to obtain elevator operating status information from the elevator control system;

The elevator energy consumption detection module is used to collect elevator energy consumption data;

The elevator energy consumption analysis module is used to analyze the elevator energy consumption data based on the elevator load status information and the elevator operating status information, and obtain energy consumption statistical results under different elevator use modes.
The system according to claim 1, characterized in that the elevator energy consumption analysis module includes a data statistics sub-module;

The data statistics sub-module is used to perform statistical analysis on the elevator load status information, the elevator operating status information and the elevator energy consumption data, and obtain data statistical results; wherein the data statistical results include average operating energy consumption, At least one of start-stop energy consumption, cycle operation energy consumption, standby energy consumption, peak hour operation energy consumption, and peak energy consumption.
The system according to claim 2, characterized in that the elevator energy consumption analysis module includes an energy consumption comparison sub-module;

The energy usage comparison sub-module is used to compare based on the data statistical results to obtain the energy usage difference; and determine the elevator dispatching strategy based on the energy usage difference.
The system according to claim 1, characterized in that the elevator energy consumption analysis module includes a real-time display sub-module;

The real-time display sub-module is used to display the elevator load status information, the elevator operating status information, the elevator energy consumption data and the energy consumption statistical results.
The system according to claim 1, characterized in that the elevator energy consumption analysis module includes an alarm output sub-module;

The alarm output sub-module is used to determine whether the energy consumption statistical results meet the preset mode thresholds in different elevator modes, generate alarm information, and send the alarm information to the processing end.
The system according to claim 5, wherein the alarm output sub-module is further configured to send the alarm information to the processing end through a preset alarm method; wherein the preset alarm method includes WeChat, At least one of text messages and emails.
The system according to claim 1, characterized in that the video recognition module is further used to identify the number of people using the elevator in the elevator monitoring video, and calculate the average waiting time and the average elevator time based on the number of people using the elevator. Run interval time.
The system according to claim 1, wherein the elevator operating status information includes at least one of elevator stopping time, elevator start and stop status, elevator up and down status, and elevator door opening and closing status; the elevator status detection module , further used to calculate the average number of runs and the average run time based on the elevator running status information.
The system according to claim 1, wherein the elevator energy consumption data includes at least one of supply voltage, supply current, three-phase harmonics, forward energy use, reverse energy use, active power, and reactive power. A sort of.
The system according to claim 1, characterized in that the video recognition module is further used to obtain the elevator monitoring video through a camera device in the car or a camera device in the waiting hall.