Energy-saving method and device for intelligent equipment in elevator and electronic equipment

Abstract

The invention discloses an energy-saving method and device for intelligent equipment in an elevator and electronic equipment. A method for saving energy of intelligent equipment in an elevator comprises the following steps that S1, the elevator state is monitored; s2, state evaluation; and S3, intelligent equipment in the elevator saves energy. Through calculation of the busy degree, the time for the intelligent equipment in the elevator to enter low-power operation is controlled, and energy saving is conducted on the intelligent equipment in the elevator on the premise that normal use is not affected.

Description

Technical Field

[0001] The present invention relates to energy saving of intelligent devices in elevators, and particularly to a method, device and electronic device for energy saving of intelligent devices in elevators. Background Art

[0002] With the acceleration of the urbanization process, high-rise buildings are gradually increasing, and elevators have become an indispensable vertical transportation means in daily life. Modern elevators are usually equipped with various intelligent devices, such as surveillance cameras, display screens, communication systems, etc., to improve the safety and comfort of passengers. As elevators become more and more intelligent in urban construction, the intelligent devices in elevators bring intelligent convenience and safety guarantee to people. However, these intelligent devices still consume electric energy continuously when the elevator is not in operation, resulting in unnecessary energy waste. Therefore, a more energy-saving solution is needed to automatically manage the intelligent devices in the elevator. Summary of the Invention

[0003] To solve the above problems, the present application provides a method, device and electronic device for energy saving of intelligent devices in elevators.

[0004] The present invention provides the following technical solutions: A method for energy saving of intelligent devices in an elevator, comprising the following steps: S1. Elevator status monitoring Divide the time of each day into n time periods on average, and take x days as a cycle to obtain the number of running times and running duration of the elevator in each time period; S2. Status evaluation S2.1. Calculate the busyness of each time period according to the number of running times and running duration of each time period. Specifically: The busyness of a time period = the normalized value of the average number of running times of this time period in the previous four cycles in historical data × weight1 + the normalized value of the average running duration of this time period in the previous four cycles in historical data × weight2; weight1 and weight2 are weight coefficients, and satisfy weight1 + weight2 = 1; S2.2. When the busyness of a time period < the first threshold, this time period is an idle running time period; When the busyness of a time period >= the first threshold and the busyness < the second threshold, this time period is a normal running time period; When the busyness of a time period >= the second threshold, this time period is a high-frequency running time period; S3. Energy saving of intelligent devices in the elevator When the elevator is in the idle running time period, set the time for the intelligent devices in the elevator to enter the low-power running state to be the third threshold; When the elevator is in the regular operation time period, set the time of the non - operation state that the intelligent device in the elevator needs to maintain to enter the low - power operation as the fourth threshold value; When the elevator is in the high - frequency operation time period, set the time of the non - operation state that the intelligent device in the elevator needs to maintain to enter the low - power operation as the fifth threshold value.

[0005] Furthermore, the states of the elevator include the moving state, the stationary state, the door - opening state, the door - closing state, the occupied state, and the unoccupied state.

[0006] Furthermore, the elevator state monitoring described in step (1) specifically includes: 1) Elevator vertical operation state detection: The gyroscope judges whether it is in the moving state or the stationary state by obtaining the current acceleration data; 2) Elevator car door state detection: For the switch state of the elevator car door, use the proximity switch installed on the inner door of the elevator to detect the door state; Supplementary use of the camera in the elevator to judge the door state, and the camera judges the door switch state through image recognition; thus judge whether it is in the door - opening state or the door - closing state; 3) Elevator occupied - unoccupied state detection: When the elevator is in the non - operation state, use the infrared sensor to identify the occupied - unoccupied state; when the elevator is in the operation state, use image recognition to judge the occupied - unoccupied state; Furthermore, when the elevator is in at least one of the three states of the moving state, the door - opening state, and the occupied state, it is the operation state, so as to calculate its operation times and operation duration. That is, when it is simultaneously in the stationary state, the door - closing state, and the unoccupied state, it is the non - operation state, and the rest of the states belong to the operation state.

[0007] Furthermore, the low - power operation includes turning off the backlight of the intelligent screen and stopping playing audio and video; the camera reduces the calculation amount, reduces the frequency of picture recognition, reduces the video resolution, and reduces the recognition frequency of the picture recognition algorithm. The intelligent device includes the intelligent screen and the camera.

[0008] When the low - power operation state returns to the normal operation state, when the elevator state detection values mentioned above change, the intelligent device in the elevator will return to the normal operation state.

[0009] The device for implementing the above - mentioned method for energy - saving of intelligent devices in an elevator at least includes: An acquisition module, which is used to evenly divide the time of each day into n time periods, and take x days as a cycle, and acquire the operation times and operation duration of the elevator in each time period; An evaluation module, configured to calculate the busyness of each time period according to the number of runs and the running duration of each time period; when the busyness of a time period < the first threshold, this time period is an idle running time period; when the busyness of a time period >= the first threshold and the busyness < the second threshold, this time period is a normal running time period; when the busyness of a time period >= the second threshold, this time period is a high-frequency running time period; An energy-saving module, configured to set the time of the non-running state that the intelligent device in the elevator needs to maintain to enter low-power operation as the third threshold when the elevator is in the idle running time period; set the time of the non-running state that the intelligent device in the elevator needs to maintain to enter low-power operation as the fourth threshold when the elevator is in the normal running time period; set the time of the non-running state that the intelligent device in the elevator needs to maintain to enter low-power operation as the fifth threshold when the elevator is in the high-frequency running time period.

[0010] An electronic device, comprising: One or more processors; A memory, configured to store one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the method as described above.

[0011] A computer-readable storage medium, on which computer instructions are stored, characterized in that when the instructions are executed by a processor, the steps of the method as described above are implemented.

[0012] The beneficial effects of the present invention are as follows: By calculating the busyness, the time for the intelligent device in the elevator to enter low-power operation is controlled, and the intelligent device in the elevator is energy-saving without affecting normal use. Description of the Drawings

[0013] Figure 1 It is a flowchart of a method for energy-saving of an intelligent device in an elevator according to the present invention; Figure 2 It is a module schematic diagram of a device for energy-saving of an intelligent device in an elevator according to the present invention. Detailed Embodiments

[0014] To further elaborate on the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following, in combination with the accompanying drawings and preferred embodiments, details the specific embodiments, structures, features and their effects according to the present invention as follows.

[0015] By calculating the busyness, the time for the intelligent device in the elevator to enter low-power operation is controlled, and the intelligent device in the elevator is energy-saving without affecting normal use.

[0016] The embodiments of the present invention will be further described below with multiple embodiments.

[0017] Embodiment 1 Such as Figure 1 , a method for energy saving of intelligent devices in an elevator, comprising the following steps: S1. Elevator status monitoring Divide the time of each day into 48 time periods on average, and take 7 days as a cycle to obtain the number of runs and the running duration of the elevator in each time period; The specific time period division is as follows Divide a week into 7 days, and each day is divided into 48 time periods, a total of 7 * 48 = 336 time periods (other values can also be assigned according to the actual situation), and each time period is represented by a unique number: Monday: 101, 102, 103,..., 148; Tuesday: 201, 202, 203,..., 248; Wednesday: 301, 302, 303,..., 348; Thursday: 401, 402, 403,..., 448; Friday: 501, 502, 503,..., 548; Saturday: 601, 602, 603,..., 648; Sunday: 701, 702, 703,..., 748; S2. Status evaluation S2.1. Calculate the busyness of each time period according to the number of runs and the running duration of each time period. Definition of busyness: Busyness is used to evaluate the running load of the elevator in the current time period, and is calculated by combining the number of runs and the running duration. Each time period (a total of 7 * 48 = 336) will be assigned a busyness, and according to the busyness, determine the time required for the intelligent device in the elevator to enter low-power operation; specifically: The busyness of a time period = the normalized value of the average number of runs in the previous four cycles of this time period in historical data × weight1 + the normalized value of the average running duration in the previous four cycles of this time period in historical data × weight2; Normalization method: Use the maximum-minimum normalization method to normalize the number of runs and the running duration into the range of [0, 1] respectively; the maximum-minimum normalization formula is as follows: Xnom=(X - Xnom) / (Xmax - Xmin); weight1 and weight2 are weight coefficients and satisfy weight1 + weight2 = 1; in the historical data, for the first four cycles, this time period refers to the same 28-day time period corresponding to the calculated time period; In this embodiment, weight1 is 0.4 and weight2 is 0.6. Other values can also be assigned according to the actual situation; Taking the time period from 11:30 to 12:00 on Sunday as an example, the encoding of the time period is 724. In the historical data, for the first four cycles, the average number of runs in this time period is 19 times, and the average running duration is 271 seconds. Among all time periods, the maximum average number of runs in a single time period is 36, the minimum average number of runs is 0, the maximum average running duration is 373 seconds, and the minimum average running duration is 0 seconds. For the 724 time period, the average number of runs and the average running duration are normalized. The normalized number of runs = (19 - 0) / (36 - 0) = 0.53; the normalized running duration = (271 - 0) / (373 - 0) = 0.73; therefore, the busyness of this time period = 0.53 * weight1 + 0.73 * weight2 = 0.65; S2.2. When the busyness of a time period < 0.3, this time period is an idle running time period; When the busyness of a time period >= 0.3 and the busyness < 0.5, this time period is a regular running time period; When the busyness of a time period >= 0.5, this time period is a high-frequency running time period; In this embodiment, the first threshold is taken as 0.3 and the second threshold is taken as 0.5. Other values can also be assigned according to the actual situation; S3. Energy saving of intelligent devices in the elevator When the elevator is in the idle running time period, the time for the intelligent device in the elevator to enter the low-power operation and maintain the non-operating state is 30s. Other values can also be assigned according to the actual situation; When the elevator is in the regular running time period, the time for the intelligent device in the elevator to enter the low-power operation and maintain the non-operating state is 120s. Other values can also be assigned according to the actual situation; When the elevator is in the high-frequency running time period, the time for the intelligent device in the elevator to enter the low-power operation and maintain the non-operating state is 180s. Other values can also be assigned according to the actual situation.

[0018] In this embodiment, the states of the elevator include the moving state, the stationary state, the door-opening state, the door-closing state, the occupied state, and the unoccupied state.

[0019] The elevator state monitoring described in step (1) specifically includes: 1) Detection of the vertical running state of the elevator: The gyroscope determines whether it is in a moving state or a stationary state by obtaining the current acceleration data; 2) Detection of the state of the elevator car door: For the open / closed state of the elevator car door, a proximity switch installed on the inner door of the elevator is used to detect the door state; The camera inside the elevator is additionally used to judge the door state, and the camera judges the open / closed state of the door through image recognition; Thus, it is determined whether it is in the open door state or the closed door state; 3) Detection of the occupied / vacant state of the elevator: When the elevator is in the non-operating state, an infrared sensor is used to identify the occupied / vacant state; When the elevator is in the operating state, image recognition is used to judge the occupied / vacant state; When the elevator is in at least one of the three states of the moving state, the open door state, or the occupied state, it is the operating state. Thus, its operation times and operation duration are calculated. That is, when it is simultaneously in the stationary state, the closed door state, and the vacant state, it is the non-operating state, and the rest of the states belong to the operating state.

[0020] Low-power operation includes turning off the backlight of the smart screen and stopping the playback of audio and video; The camera reduces the computing amount, reduces the frequency of image recognition, reduces the video recording resolution, and reduces the recognition frequency of the image recognition algorithm. The intelligent devices include the smart screen and the camera.

[0021] When the low-power operation state returns to the normal operation state, when the elevator state detection values mentioned above change, the intelligent devices in the elevator will return to the normal operation state.

[0022] Such as Figure 2 , A device for implementing the above method for energy saving of intelligent devices in an elevator at least includes: An acquisition module, which is used to evenly divide the time of each day into 48 time periods, and take 7 days as a cycle to acquire the operation times and operation duration of the elevator in each time period; An evaluation module, which is used to calculate the busyness of each time period according to the operation times and operation duration of each time period; When the busyness of a time period < the first threshold, this time period is an idle operation time period; When the busyness of a time period >= 0.3 and the busyness < 0.5, this time period is a regular operation time period; When the busyness of a time period >= 0.5, this time period is a high-frequency operation time period; An energy-saving module, which is used to set the non-operating state time that the intelligent devices in the elevator need to maintain to enter the low-power operation as 30s when the elevator is in the idle operation time period; Set the non-operating state time that the intelligent devices in the elevator need to maintain to enter the low-power operation as 120s when the elevator is in the regular operation time period; Set the non-operating state time that the intelligent devices in the elevator need to maintain to enter the low-power operation as 180s when the elevator is in the high-frequency operation time period.

[0023] An electronic device, comprising: One or more processors; A memory for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method as described above.

[0024] In the embodiments provided in the present application, it should be understood that the disclosed method and system can also be implemented in other ways. The method and system embodiments described above are merely illustrative. For example, the flowcharts and block diagrams in the drawings show the possible architectures, functions, and operations of the method and system, method, and computer program product according to multiple embodiments of the present application. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code, and the module, program segment, or part of code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and the combination of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system for performing the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

[0025] In addition, in each embodiment of the present application, the various functional modules may be integrated together to form an independent part, or each module may exist alone, or two or more modules may be integrated to form an independent part.

[0026] On the other hand, a computer-readable storage medium stores computer instructions, which, when executed by a processor, implement the steps of the method as described above. The computer program, when executed by the processor, implements the method according to any one of the above first aspects. If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in various embodiments of the present application. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memory 101 (ROM, Read-Only Memory), random access memory 101 (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0027] As described above, the foregoing are only preferred embodiments of the present invention and do not impose any form of limitation on the present invention. Although the present invention has been disclosed above with preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some changes or modifications to equivalent embodiments by using the technical content disclosed above without departing from the scope of the technical solution of the present invention. However, as long as it does not depart from the content of the technical solution of the present invention, any brief modifications, equivalent changes, and modifications made to the above embodiments based on the technical essence of the present invention still fall within the scope of the technical solution of the present invention.

Claims

1. A method for energy saving of intelligent equipment in an elevator, characterized in that: The steps include: S1. Elevator status monitoring Divide the time of each day into n time periods evenly, and take x days as a cycle to obtain the number of elevator runs and the running time in each time period; S2. Status Assessment S2.

1. Calculate the busyness of each time period based on the number of operations and the running time of each time period. Specifically: The busyness of a time period = the normalized value of the average number of runs in the previous four periods of historical data × weight1 + the normalized value of the average running time in the previous four periods of historical data × weight2; weight1 and weight2 are weight coefficients, and weight1 + weight2 = 1; S2.2, when the busyness of a time period is less than the first threshold, the time period is an idle operation time period; When the busyness of a time period is greater than or equal to the first threshold and the busyness is less than the second threshold, the time period is a normal operation time period; When the busyness of a time period is greater than or equal to the second threshold, the time period is a high-frequency operation time period; S3. Energy saving of intelligent equipment in elevators When the elevator is in an idle operation period, the time required for the intelligent device in the elevator to enter low-power operation and remain in the non-operating state is set as the third threshold; When the elevator is in the normal operation time period, the non-operation time required for the smart device in the elevator to enter low-power operation is set as the fourth threshold; When the elevator is in a high-frequency operation period, the non-operating time required for the smart devices in the elevator to enter low-power operation is set as the fifth threshold.

2. The method according to claim 1, characterized in that The states of the elevator include moving state, stationary state, door open state, door closed state, occupied state and unoccupied state.

3. The method according to claim 2, characterized in that The elevator status monitoring described in step (1) specifically includes: 1) Elevator vertical running state detection: The gyroscope obtains the current acceleration data to determine whether it is in motion or stationary state; 2) Elevator car door status detection: The elevator car door switch status is detected using a proximity switch installed on the elevator door. The elevator camera is used to assist in judging the door status. The camera uses image recognition to judge the door switch status, thereby judging whether the door is currently open or closed. 3) Elevator occupancy detection: When the elevator is not in operation, infrared sensors are used to identify whether the elevator is in operation. When the elevator is in operation, image recognition is used to determine whether the elevator is in operation.

4. The method according to claim 1, characterized in that: When the elevator is in at least one of the three states, namely, the moving state, the door open state, or the occupied state, it is in the running state, and its running times and running time are calculated.

5. The method according to claim 1, characterized in that Low-power operation includes turning off the smart screen backlight and stopping audio and video playback; the camera reduces the amount of computing, reduces the frequency of image recognition, reduces the video resolution, and reduces the recognition frequency of the image recognition algorithm.

6. A device for implementing a method for energy saving of intelligent equipment in an elevator as described in claims 1-5, characterized in that: At least: The acquisition module is used to divide the time of each day into n time periods on average, and take x days as a cycle to obtain the number of elevator runs and the running time in each time period; The evaluation module is used to calculate the busyness of each time period according to the number of operations and the operation duration of each time period; when the busyness of a time period is less than the first threshold, the time period is an idle operation time period; when the busyness of a time period is greater than or equal to the first threshold, and the busyness is less than the second threshold, the time period is a regular operation time period; when the busyness of a time period is greater than or equal to the second threshold, the time period is a high-frequency operation time period; The energy-saving module is used to set the time that the intelligent devices in the elevator need to maintain a non-operating state to enter low-power operation as the third threshold when the elevator is in an idle operation time period; set the time that the intelligent devices in the elevator need to maintain a non-operating state to enter low-power operation as the fourth threshold when the elevator is in a regular operation time period; and set the time that the intelligent devices in the elevator need to maintain a non-operating state to enter low-power operation as the fifth threshold when the elevator is in a high-frequency operation time period.

7. An electronic device, characterized in that: include: one or more processors; A memory for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 5.

8. A computer-readable storage medium having computer instructions stored thereon, characterized in that: When the instruction is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

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