Energy-saving control method and device for personnel transportation equipment, equipment and storage medium
阅读说明：本技术 人员运输设备的节能控制方法及装置、设备、存储介质 (Energy-saving control method and device for personnel transportation equipment, equipment and storage medium ) 是由 李妍妍 刘文钦 许磊 丁浩铖 陈志鑫 邹亮华 曾航剑 于 2021-07-28 设计创作，主要内容包括：本发明公开了一种人员运输设备的节能控制方法及装置、设备、存储介质,除了第一个运行周期,每个运行周期都可以利用上一运行周期内的实际运载数据,预测当前运行周期的闲暇时段和繁忙时段,从而更新设置当前运行周期的运行方案,即在当前运行周期中对闲暇时段和繁忙时段分别运行不同的节能模式,从而可以通过学习人员运输设备的实际工况,分时间段自适应调整节能模式,达到每个时段都能以最合适的节能模式运行的效果,将节能效果最大化,从而优化节能模式的设置方式,使人员运输设备的节能控制方法更加智能化。(The invention discloses an energy-saving control method and device for personnel transportation equipment, equipment and a storage medium, wherein except for a first operation cycle, each operation cycle can predict the idle time and the busy time of the current operation cycle by using actual carrying data in the previous operation cycle, so that an operation scheme for setting the current operation cycle is updated, namely different energy-saving modes are respectively operated on the idle time and the busy time in the current operation cycle, the energy-saving modes can be adaptively adjusted in different time periods according to the actual working conditions of the personnel transportation equipment, the effect that each time period can operate in the most appropriate energy-saving mode is achieved, the energy-saving effect is maximized, the setting mode of the energy-saving modes is optimized, and the energy-saving control method for the personnel transportation equipment is more intelligent.)
1. An energy-saving control method for a personnel transportation device, characterized by comprising:
acquiring first actual carrying data of the personnel transportation equipment in a last operation period;
predicting the idle time period and the busy time period of the current operation cycle according to the actual first carrying data;
controlling the people transportation device to operate in a first energy saving mode during the idle time period and in a second energy saving mode during the busy time period, the first energy saving mode and the second energy saving mode being different.
2. The energy-saving control method of a people transportation device according to claim 1, wherein after the acquiring the first actual carrying data of the people transportation device in the last operation cycle, the method further comprises:
acquiring second actual carrying data of the previous operating cycle of the personnel transportation equipment;
performing fusion processing on the first actual carrying data and the second actual carrying data to obtain target actual carrying data;
and predicting the idle time period and the busy time period of the current operation cycle according to the actual first carrying data, wherein the predicting comprises the following steps:
and predicting the idle time period and the busy time period of the current running cycle according to the target actual carrying data.
3. The energy-saving control method for people transportation equipment according to claim 1 or 2, wherein the acquiring first actual carrying data of the people transportation equipment in a last operation cycle comprises:
acquiring a sensing signal detected by a sensing device of the personnel transportation equipment in the last operation period;
time division is carried out on the sensing signals according to a preset time interval, a plurality of sensing segments are obtained, and each sensing segment corresponds to one sampling point;
judging whether each sensing segment is used for representing that passengers pass through;
giving a corresponding level value to the sampling point corresponding to each sensing segment according to the judgment result;
representing the level values of the sampling points according to a time sequence to obtain a level change curve;
and taking the level change curve as first actual carrying data.
4. Energy-saving control method of people transportation equipment according to claim 3, characterized in that the level value comprises a low level value or a high level value; the giving of the corresponding level value to the sampling point corresponding to each sensing segment according to the judgment result comprises:
if any sensing segment is judged to be used for representing that a passenger passes through, the low level value is given to the sampling point of the sensing segment;
and if any sensing segment is judged to be used for representing that no passenger passes through, the high level value is given to the sampling point of the sensing segment.
5. Energy-saving control device of personnel transportation equipment, its characterized in that includes:
the first acquisition unit is used for acquiring first actual carrying data of the personnel transportation equipment in the last operation period;
the prediction unit is used for predicting the idle time period and the busy time period of the current operation cycle according to the actual first carrying data;
a control unit for controlling the people transportation device to operate in a first energy saving mode during the leisure time period and in a second energy saving mode during the busy time period, wherein the first energy saving mode and the second energy saving mode are different.
6. The energy-saving control device of a people transportation apparatus according to claim 5, further comprising:
the second acquisition unit is used for acquiring second actual carrying data of the personnel transportation equipment in the previous operation period after the first acquisition unit acquires the first actual carrying data of the personnel transportation equipment in the previous operation period;
the fusion unit is used for carrying out fusion processing on the first actual carrying data and the second actual carrying data to obtain target actual carrying data;
the prediction unit is specifically configured to predict a free time period and a busy time period of the current operation cycle according to the target actual carrying data.
7. The energy-saving control device of a people transportation apparatus according to claim 5 or 6, wherein the first acquisition unit includes:
the acquisition subunit is used for acquiring a sensing signal detected by a sensing device of the personnel transportation equipment in the last operation period;
the dividing subunit is used for carrying out time division on the sensing signal according to a preset time interval to obtain a plurality of sensing segments, and each sensing segment corresponds to one sampling point;
the judging subunit is used for judging whether each sensing segment is used for representing that a passenger passes through;
the evaluation subunit is used for giving a corresponding level value to the sampling point corresponding to each sensing segment according to the judgment result of the judgment subunit;
the determining subunit is used for representing the level values of the sampling points according to a time sequence to obtain a level change curve; and taking the level change curve as first actual carrying data.
8. Energy-saving control device of people transportation equipment according to claim 7, characterized in that the level value comprises a low level value or a high level value;
the evaluation subunit is specifically configured to judge, in the judgment subunit, that any sensing segment is used for representing that a passenger passes through, and assign the low level value to a sampling point of the sensing segment; and judging any sensing segment by the judging subunit to be used for representing that no passenger passes through, and giving the high-level value to the sampling point of the sensing segment.
9. An electronic device comprising a memory storing executable program code and a processor coupled to the memory; the processor calls the executable program code stored in the memory for executing the energy-saving control method of the people transportation device of any one of claims 1 to 4.
10. Computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program, wherein the computer program causes a computer to execute the energy saving control method of a people transportation device of any one of claims 1 to 4.
Technical Field
The invention belongs to the technical field of machine learning, and particularly relates to an energy-saving control method and device for personnel transportation equipment, equipment and a storage medium.
Background
The escalator in the market is widely applied to various places such as shopping malls, subways, airports and the like as a personnel transportation device. In general, when the passenger flow is little or no, such as off-peak of a subway or working days in a shopping mall, if continuous operation is adopted, the escalator is in idle running. This not only wastes energy, but also increases wear on mechanical parts.
At present, most of the prior art only pay attention to what method is used for realizing energy conservation and loss reduction, and a single energy-saving mode is set for the escalator. For example, a quick stop mode is set, the escalator is controlled to enter a stop state when no person is available, however, if an intermittent nobody condition occurs, a circulation phenomenon that the escalator is started for a short time and then stops occurs, and the condition can increase the abrasion of mechanical parts.
And if a fast-slow stop mode is set, the escalator enters a slow car mode when monitoring that no person exists, the escalator enters a stop state after the slow car mode is maintained for a period of time and no person is detected to pass, and the escalator still runs slowly in an unmanned period of time, so that unnecessary energy consumption exists.
Therefore, in the existing energy-saving control method of the escalator, the setting mode of the energy-saving mode is single, so that the energy-saving control method is not intelligent enough.
Disclosure of Invention
The invention aims to provide an energy-saving control method and device for personnel transportation equipment, equipment and a storage medium, which can optimize the setting mode of an energy-saving mode and enable the energy-saving control method to be more intelligent.
The first aspect of the embodiment of the invention discloses an energy-saving control method for personnel transportation equipment, which comprises the following steps:
acquiring first actual carrying data of the personnel transportation equipment in a last operation period;
predicting the idle time period and the busy time period of the current operation cycle according to the actual first carrying data;
controlling the people transportation device to operate in a first energy saving mode during the idle time period and in a second energy saving mode during the busy time period, the first energy saving mode and the second energy saving mode being different.
In one embodiment, after the acquiring the first actual carrying data of the people transportation device in the last operation cycle, the method further includes:
acquiring second actual carrying data of the previous operating cycle of the personnel transportation equipment;
performing fusion processing on the first actual carrying data and the second actual carrying data to obtain target actual carrying data;
and predicting the idle time period and the busy time period of the current operation cycle according to the actual first carrying data, wherein the predicting comprises the following steps:
and predicting the idle time period and the busy time period of the current running cycle according to the target actual carrying data.
In one embodiment, the acquiring first actual carrying data of the people transportation device in the last operation cycle includes:
acquiring a sensing signal detected by a sensing device of the personnel transportation equipment in the last operation period;
time division is carried out on the sensing signals according to a preset time interval, a plurality of sensing segments are obtained, and each sensing segment corresponds to one sampling point;
judging whether each sensing segment is used for representing that passengers pass through;
giving a corresponding level value to the sampling point corresponding to each sensing segment according to the judgment result;
representing the level values of the sampling points according to a time sequence to obtain a level change curve;
and taking the level change curve as first actual carrying data.
In one embodiment, the level value comprises a low level value or a high level value; the giving of the corresponding level value to the sampling point corresponding to each sensing segment according to the judgment result comprises:
if any sensing segment is judged to be used for representing that a passenger passes through, the low level value is given to the sampling point of the sensing segment;
and if any sensing segment is judged to be used for representing that no passenger passes through, the high level value is given to the sampling point of the sensing segment.
A second aspect of the embodiments of the present invention discloses an energy-saving control device for a people transportation apparatus, including:
the first acquisition unit is used for acquiring first actual carrying data of the personnel transportation equipment in the last operation period;
the prediction unit is used for predicting the idle time period and the busy time period of the current operation cycle according to the actual first carrying data;
a control unit for controlling the people transportation device to operate in a first energy saving mode during the leisure time period and in a second energy saving mode during the busy time period, wherein the first energy saving mode and the second energy saving mode are different.
In one embodiment, the method further comprises the following steps:
the second acquisition unit is used for acquiring second actual carrying data of the personnel transportation equipment in the previous operation period after the first acquisition unit acquires the first actual carrying data of the personnel transportation equipment in the previous operation period;
the fusion unit is used for carrying out fusion processing on the first actual carrying data and the second actual carrying data to obtain target actual carrying data;
the prediction unit is specifically configured to predict a free time period and a busy time period of the current operation cycle according to the target actual carrying data.
In one embodiment, the first obtaining unit includes:
the acquisition subunit is used for acquiring a sensing signal detected by a sensing device of the personnel transportation equipment in the last operation period;
the dividing subunit is used for carrying out time division on the sensing signal according to a preset time interval to obtain a plurality of sensing segments, and each sensing segment corresponds to one sampling point;
the judging subunit is used for judging whether each sensing segment is used for representing that a passenger passes through;
the evaluation subunit is used for giving a corresponding level value to the sampling point corresponding to each sensing segment according to the judgment result of the judgment subunit;
the determining subunit is used for representing the level values of the sampling points according to a time sequence to obtain a level change curve; and taking the level change curve as first actual carrying data.
In one embodiment, the level value comprises a low level value or a high level value;
the evaluation subunit is specifically configured to judge, in the judgment subunit, that any sensing segment is used for representing that a passenger passes through, and assign the low level value to a sampling point of the sensing segment; and judging any sensing segment by the judging subunit to be used for representing that no passenger passes through, and giving the high-level value to the sampling point of the sensing segment.
A third aspect of an embodiment of the present invention discloses an electronic device, including a memory storing executable program codes and a processor coupled to the memory; the processor calls the executable program code stored in the memory for executing the energy saving control method of the people transportation device disclosed in the first aspect.
A fourth aspect of the present invention discloses a computer-readable storage medium storing a computer program, where the computer program causes a computer to execute the energy saving control method for a people transportation apparatus disclosed in the first aspect.
The energy-saving control method and the device, the equipment and the storage medium of the personnel transportation equipment have the advantages that except for the first operation cycle, each operation cycle can predict the idle time and the busy time of the current operation cycle by utilizing the actual carrying data in the previous operation cycle, so that the operation scheme for setting the current operation cycle is updated, namely different energy-saving modes are respectively operated in the idle time and the busy time in the current operation cycle, so that the energy-saving mode can be adaptively adjusted in different time periods according to the actual working conditions of the personnel transportation equipment, the effect that each time period can operate in the most appropriate energy-saving mode is achieved, the energy-saving effect is maximized, the setting mode of the energy-saving mode is optimized, and the energy-saving control method of the personnel transportation equipment is more intelligent.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and, together with the description, serve to explain the principles and effects of the invention.
Unless otherwise specified or defined, the same reference numerals in different figures refer to the same or similar features, and different reference numerals may be used for the same or similar features.
FIG. 1 is a flow chart of an energy-saving control method for a people mover disclosed in an embodiment of the present invention;
FIG. 2 is a graph of the level variation disclosed in the embodiments of the present invention;
FIG. 3 is a schematic structural diagram of an energy-saving control device of a people transportation device disclosed by an embodiment of the invention;
fig. 4 is a schematic structural diagram of an electronic device disclosed in the embodiment of the present invention.
Description of reference numerals:
301. a first acquisition unit; 302. a prediction unit; 301. a control unit; 304. a second acquisition unit; 305. a fusion unit; 401. a memory; 402. a processor.
Detailed Description
In order to facilitate an understanding of the invention, specific embodiments thereof will be described in more detail below with reference to the accompanying drawings.
Unless specifically stated or otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. In the case of combining the technical solutions of the present invention in a realistic scenario, all technical and scientific terms used herein may also have meanings corresponding to the purpose of achieving the technical solutions of the present invention. As used herein, "first and second …" are used merely for name differentiation and do not denote any particular quantity or order. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
It will be understood that when an element is referred to as being "secured to" another element, it can be directly secured to the other element or intervening elements may also be present; when an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present; when an element is referred to as being "mounted on" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "on" another element, it can be directly on the other element or intervening elements may also be present.
As used herein, unless otherwise specified or defined, the terms "comprises," "comprising," and "comprising" are used interchangeably to refer to the term "comprising," and are used interchangeably herein.
It is needless to say that technical contents or technical features which are contrary to the object of the present invention or clearly contradicted by the object of the present invention should be excluded.
As shown in fig. 1, an embodiment of the present invention discloses an energy saving control method for a people transportation device, including:
and S1, acquiring first actual carrying data of the personnel transportation equipment in the last operation period.
The personnel transportation device may include an escalator or a moving sidewalk, and the operation cycle may be a time period specified by a developer in advance, such as three hours, one day, two days, or one week, and is not limited herein. In this embodiment, a one-day operation cycle is described.
In the embodiment of the invention, sensors can be arranged above, at the entrance and/or at the exit of the personnel transportation equipment, and then whether passengers pass through can be judged according to detection signals of the sensors, so that actual carrying data of the personnel transportation equipment in each operation cycle, namely quantitative index data related to actual carrying of passengers, such as the number of people carried in each operation cycle, carrying frequency and the like, can be obtained. Alternatively, a passenger counter may be installed on the people transportation device to detect and record the number of passengers.
The invention is not limited to the specific form of the sensor, and a sensor capable of detecting the passing of a person, such as a camera, an infrared sensor, a photoelectric sensor, a microwave sensor, a laser sensor or a pressure sensor, can be arranged according to the actual situation.
If the sensor is a camera, the camera arranged above the personnel transportation equipment can be controlled to start when a self-learning starting instruction input by a user is received, video data of each operation cycle is recorded, then the deep learning neural network is adopted to identify the video data of each operation cycle, and the time period with a large carrying number and the time period with a small carrying number in each operation cycle are identified as actual operation data.
Furthermore, any one or more sensors can be combined into a sensing device, and detection signals detected by the sensors are fused into one sensing signal, wherein the sensors can be different from one another, so that the sensing detection accuracy can be improved.
Specifically, a sensing signal detected by a sensing device of the people transportation equipment in each operation cycle can be obtained, the sensing signal is formed by fusing detection signals of all sensors included in the sensing device, and the sensing signal can be a continuous signal in one operation cycle; then, the sensing signals can be time-divided according to a preset time interval, so that a plurality of sensing segments and a plurality of time segments can be obtained, wherein each sensing segment refers to the sensing signal in a certain time segment, namely the sensing segments correspond to the time segments one by one and the same sampling point is correspondingly arranged.
Based on this, by judging whether each sensing segment is used for representing that passengers pass through, sampling can be carried out on each sampling point. Specifically, according to the determination result, a corresponding level value, such as a low level value 0 or a high level value 1, is assigned to the sampling point corresponding to each sensing segment.
Wherein, it can be specified in advance that the low level value 0 represents the presence of passengers and the high level value 1 represents the absence of passengers; alternatively, a low value of 0 indicates no passenger and a high value of 1 indicates passenger. In the present embodiment, the low level value 0 represents the presence of a passenger, and the high level value 1 represents the absence of a passenger.
If any sensing segment is judged to be used for representing that a passenger passes through, a low-level value 0 is given to a sampling point of the sensing segment; if any sensing segment is judged to be used for representing that no passenger passes through, a high level value 1 is given to the sampling point of the sensing segment, and by analogy, the level values of all sampling points in the whole operation period can be counted, then the level values of all sampling points are expressed according to the time sequence, and a level change curve in each operation period is obtained to serve as actual carrying data.
Therefore, in step S1, the first actual carrying data in the last operation cycle is acquired, which can be obtained in the above manner. The method comprises the steps that sensing signals detected by a sensing device of the personnel transportation equipment in the last operation period can be obtained, the sensing signals are subjected to time division according to preset time intervals, a plurality of sensing segments are obtained, and each sensing segment corresponds to a sampling point; then, whether each sensing segment is used for representing that a passenger passes through is judged; giving a corresponding level value to the sampling point corresponding to each sensing segment according to the judgment result; the level values of all sampling points are carried out according to the time sequenceRepresenting, obtaining a level change curve; using the level variation curve as the first actual carrying data Di-1(i-2, …) where i represents the serial number of the operating cycle and DiRepresenting the current actual carried data in the current operating cycle, Di-1It represents the first actual data carried in the last run cycle.
As shown in FIG. 2, the first actual carried data D in the last operation cyclei-1Middle, sampling point t0、t1、t2、t3、t4、t5、t6、t7、t8、…、tnRespectively corresponding to a time segment and a sensing segment, and a sampling point t0Level value P ofi-1(t0) When t is 0, the sampling point t is illustrated0The corresponding sensor segment is used to characterize the passage of a passenger, wherein Pi-1Representing the level values of the respective sampling points in the previous operating period. While sampling point t1、t2、t3Level value P ofi-1(t1)＝Pi-1(t2)＝Pi-1(t3) Sample point t is illustrated as 11、t2、t3No passenger passes through the corresponding sensing segments.
And S2, predicting the idle time period and the busy time period of the current running period according to the actual first carrying data.
As shown in fig. 2, the data D is actually carried by the first in the last operation cyclei-1It can be seen that the sampling point t is1-t3、t9-t11、t15-t16And t21The respective level values are all 1, so that the time slices corresponding to the sampling points in the current operating period can be predicted as idle periods a, while the time slices corresponding to the sampling points with the level value of 0 in the current operating period can be predicted as busy periods B, or other time periods except for idle periods in the current operating period can be predicted as busy periods B.
Through the self-learning operation, except for the first operation cycle, each operation cycle can predict the free time period and the busy time period of the current operation cycle by utilizing the actual carrying data in the previous operation cycle, so that the operation scheme for setting the current operation cycle is updated, namely different energy-saving modes are respectively operated for the free time period and the busy time period in the current operation cycle, so that the energy-saving modes can be adaptively adjusted according to the actual working conditions of the transport equipment of the learners and the time periods, the effect that each time period can operate in the most appropriate energy-saving mode is achieved, the energy-saving effect is maximized, the setting mode of the energy-saving modes is optimized, and the energy-saving control method of the transport equipment of the learners is more intelligent.
Further, in order to improve the prediction accuracy of the free time and the busy time, from the third operation cycle of the self-learning operation, the first actual carrying data of the previous operation cycle can be corrected based on the second actual carrying data of the previous operation cycle, so that the free time and the busy time can be predicted more accurately, and the set operation scheme can be updated.
That is, after the step S1, it may be further determined whether the current operation cycle is at least the third operation cycle (i.e., whether i is greater than or equal to 3), and if so, the second actual carrying data D of the previous operation cycle of the people transportation device is obtainedi-2For the first actual carried data Di-1And second actual carrying data Di-2And performing fusion processing to obtain target actual carrying data. Accordingly, step S2 includes: and predicting the idle time period and the busy time period of the current running cycle according to the target actual carrying data.
Wherein the second actual carrying data D of the last operating cycle of the personnel transportation equipment is obtainedi-2The first actual carrying data D can be acquired as described abovei-1The same way is used, and the description is omitted here. For the first actual carried data Di-1And second actual carrying data Di-2The fusion processing may be performed by multiplying the level values of the same sampling points to obtain the level value products of the corresponding sampling points, representing the level value products of the sampling points in time sequence to obtain the predicted level change curve of the current operation period, which is used as the target actual carrying data Di′。
As shown in fig. 2, at sample point t4For example, the first actual carried data Di-1P in (1)i-1(t4) 0, the second actual carried data Di-2P in (1)i-2(t4) 1, the target actually carries data Di' level value product Pi(t4)＝Pi-1(t4)*Pi-2(t4)＝0。
Wherein data D is actually carried from the targeti' in can be seen the sampling point t1-t3、t9-t11And t21The respective level values are all 1, so that the target time slices corresponding to the sampling points in the current operating period can be predicted as idle periods a, while the time slices corresponding to the sampling points with the level value of 0 in the current operating period can be predicted as busy periods B, or other time periods except for idle periods in the current operating period can be predicted as busy periods B.
Therefore, by monitoring the actual carrying data of the personnel transportation equipment in each operation cycle, from the third operation cycle, before entering a new operation cycle, the leisure time and the busy time of the current operation cycle can be predicted according to the actual carrying data in the previous two operation cycles, and the energy-saving effect can be maximized by adaptively adjusting the energy-saving mode in different time periods, so that the setting mode of the energy-saving mode is optimized, and the prediction accuracy of the leisure time and the busy time of the current operation cycle is further improved.
And S3, controlling the personnel transportation equipment to operate in a first energy-saving mode in idle time and a second energy-saving mode in busy time.
The first energy saving mode and the second energy saving mode are different, the first energy saving mode can be a fast parking mode, namely an energy saving mode for switching between fast driving and parking states, and corresponds to a leisure time period (when no passenger or few passengers exist), and the second energy saving mode is a fast and slow parking mode, namely an energy saving mode for switching between fast driving and slow parking states, and corresponds to a busy time period (when passengers exist).
As shown in fig. 2, the fast-stop mode may be operated during idle period a and the fast-slow-stop mode may be operated during busy period B in the current operation cycle.
Therefore, the energy-saving mode of switching the fast running state and the parking state is operated when no passenger or few passengers exist, and the energy-saving mode of switching the fast running state and the slow parking state when passengers exist, so that the condition that the mechanical part is accelerated to be abraded due to the single-operation fast-stop mode can be avoided, the power consumption of the single-operation fast-stop mode and the single-operation slow-stop mode when no passenger exists can be reduced, the energy-saving standby time is more reasonable, and more energy is saved. And can also carry out accurate accuse to the operating time of energy-conserving mode, avoid the express train operation hold time overlength or short excessively, energy-conservation reduces and decreases and becomes the chicken rib, can improve the practicality.
It can be understood that if it is the first operation cycle, the first actual carrying data in the last operation cycle cannot be obtained to predict the idle time period and the busy time period. Then, in the embodiment of the present invention, for the first operation period, the operation may be performed in a specified energy saving mode (e.g., the first energy saving mode or the second energy saving mode), and then the sensing signal is monitored. That is, before step S1 is executed, it may be further determined whether the current operation period is the first operation period, and if so, the people transportation device is controlled to operate in the first energy saving mode or the second energy saving mode, and the sensing signal of the people transportation device in the current operation period is monitored; otherwise, step S1 is executed.
Optionally, before executing step S1, it may be further determined whether the current operation cycle belongs to a working day cycle or a resting day cycle, and if the current operation cycle belongs to the working day cycle, the first actual carrying data of the people transportation device in the last working day cycle is obtained; and if the data belong to the rest day period, acquiring first actual carrying data of the personnel transportation equipment in the last rest day period. Therefore, the working day period and the rest day period can be self-learned to run and the energy-saving mode can be adjusted in a self-adaptive mode, and the intelligence can be further improved.
As shown in fig. 3, the embodiment of the present invention discloses an energy saving control device for a people transportation equipment, comprising a first obtaining unit 301, a predicting unit 302 and a control unit 303, wherein,
a first obtaining unit 301, configured to obtain first actual carrying data of the people transportation device in a last operation cycle.
The prediction unit 302 is configured to predict a free time period and a busy time period of the current operation cycle according to the actual first carrying data.
A control unit 303 for controlling the people transportation device to operate in a first energy saving mode during idle hours and in a second energy saving mode during busy hours, the first energy saving mode and the second energy saving mode being different.
Optionally, the energy-saving control device of the people transportation equipment shown in fig. 3 may further include:
a second obtaining unit 304, configured to obtain second actual carrying data of the human transport apparatus in the previous operation cycle after the first obtaining unit 301 obtains the first actual carrying data of the human transport apparatus in the previous operation cycle.
The fusion unit 305 is configured to perform fusion processing on the first actual carried data and the second actual carried data to obtain target actual carried data.
The prediction unit 303 is specifically configured to predict a free time period and a busy time period of the current operation cycle according to the target actual carrying data.
Alternatively, in the energy saving control apparatus of the people transportation device shown in fig. 3, the first obtaining unit 301 may include the following sub-units, not shown:
the acquisition subunit is used for acquiring a sensing signal detected by a sensing device of the personnel transportation equipment in the last operation period;
the dividing subunit is used for carrying out time division on the sensing signal according to a preset time interval to obtain a plurality of sensing segments, and each sensing segment corresponds to one sampling point;
the judging subunit is used for judging whether each sensing segment is used for representing that a passenger passes through;
the evaluation subunit is used for giving a corresponding level value to the sampling point corresponding to each sensing segment according to the judgment result of the judgment subunit;
the determining subunit is used for representing the level values of the sampling points according to a time sequence to obtain a level change curve; and taking the level change curve as first actual carrying data.
Wherein the level value comprises a low level value or a high level value; the evaluation subunit is specifically configured to judge, in the judgment subunit, that any sensing segment is used for representing that a passenger passes through, and assign a low level value to a sampling point of the sensing segment; and judging any sensing segment by the judging subunit to be used for representing that no passenger passes through, and giving a high-level value to the sampling point of the sensing segment.
As shown in fig. 4, an embodiment of the present invention discloses an electronic device, which includes a memory 401 storing executable program codes and a processor 402 coupled to the memory 401;
the processor 402 calls the executable program code stored in the memory 401 to execute the energy-saving control method of the people transportation device described in the above embodiments.
The embodiment of the invention also discloses a computer-readable storage medium which stores a computer program, wherein the computer program enables a computer to execute the energy-saving control method of the personnel transportation equipment described in the embodiments.
The above embodiments are provided to illustrate, reproduce and deduce the technical solutions of the present invention, and to fully describe the technical solutions, the objects and the effects of the present invention, so as to make the public more thoroughly and comprehensively understand the disclosure of the present invention, and not to limit the protection scope of the present invention.
The above examples are not intended to be exhaustive of the invention and there may be many other embodiments not listed. Any alterations and modifications without departing from the spirit of the invention are within the scope of the invention.