CN115477209B - Ladder calling method, device, equipment and storage medium - Google Patents
Ladder calling method, device, equipment and storage medium Download PDFInfo
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/02—Control systems without regulation, i.e. without retroactive action
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/34—Details, e.g. call counting devices, data transmission from car to control system, devices giving information to the control system
- B66B1/3415—Control system configuration and the data transmission or communication within the control system
- B66B1/3423—Control system configuration, i.e. lay-out
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/34—Details, e.g. call counting devices, data transmission from car to control system, devices giving information to the control system
- B66B1/3476—Load weighing or car passenger counting devices
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0006—Monitoring devices or performance analysers
- B66B5/0012—Devices monitoring the users of the elevator system
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0006—Monitoring devices or performance analysers
- B66B5/0018—Devices monitoring the operating condition of the elevator system
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0006—Monitoring devices or performance analysers
- B66B5/0037—Performance analysers
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B2201/00—Aspects of control systems of elevators
- B66B2201/10—Details with respect to the type of call input
- B66B2201/104—Call input for a preferential elevator car or indicating a special request
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B2201/00—Aspects of control systems of elevators
- B66B2201/40—Details of the change of control mode
- B66B2201/46—Switches or switchgear
- B66B2201/4607—Call registering systems
- B66B2201/4661—Call registering systems for priority users
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- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Computer Networks & Wireless Communication (AREA)
- Mechanical Engineering (AREA)
- Indicating And Signalling Devices For Elevators (AREA)
Abstract
The invention discloses a ladder calling method, a ladder calling device, ladder calling equipment and a storage medium, wherein the ladder calling method comprises the following steps: when elevator calling signals are received, elevator operation information is acquired, the processing coefficient of the current elevator calling signals is determined according to the elevator operation information, elevator calling response data are determined based on the processing coefficient and the elevator calling signals, wherein the elevator calling response data comprise priorities of the elevator calling signals, a scheduling scheme of the elevator is determined according to the priorities, the elevator calling method can improve the scheduling efficiency of the elevator, various information related to the elevator is comprehensively considered when the scheduling scheme is determined, and the priorities of different elevator calling signals can be adjusted through the processing coefficient, so that the determined scheduling scheme is more suitable for an application scene of the elevator.
Description
Technical Field
The invention belongs to the technical field of elevator dispatching, and particularly relates to a method, a device, equipment and a storage medium for calling an elevator.
Background
In elevator dispatch, the existing dispatch mode is when the passenger presses the elevator call button, the elevator controlled dispatch system directly records the call information and begins to respond. For elevator calling signals after passengers press buttons, the elevator calling signals are generally transmitted to a dispatching control system after being filtered in terms of simple hardware or software, and the elevator dispatching mode can cause low operation efficiency of elevators.
In addition, different application scenes are different from each other in requirements of the elevators, and in the current elevator dispatching mode, in order to adapt to the scenes with different elevator requirements, the corresponding elevator requirements can only be collected in advance before leaving the factory, then information is recorded according to the elevator requirements, and the elevator requirements generated by the overall elevator habit in the actual operation process of the elevators are difficult to identify and respond.
Disclosure of Invention
The invention provides a ladder calling method, a ladder calling device, ladder calling equipment and a storage medium, which are used for solving the problem that the current ladder calling mode is difficult to meet different ladder using requirements.
According to an aspect of the present invention, there is provided a elevator calling method, which is characterized in that the method includes:
when receiving the elevator calling signal, acquiring elevator operation information;
determining the processing coefficient of the current elevator calling signal according to the elevator running information;
determining elevator calling response data based on the processing coefficient and the elevator calling signal, wherein the elevator calling response data comprises the priority of the elevator calling signal;
and determining a scheduling scheme of elevator calling according to the priority.
According to an aspect of the present invention, there is provided a elevator apparatus, the apparatus comprising:
The information acquisition module is used for acquiring elevator operation information when receiving an elevator calling signal;
the processing coefficient determining module is used for determining the processing coefficient of the current elevator calling signal according to the elevator operation information;
the elevator calling response data determining module is used for determining elevator calling response data based on the processing coefficient and the elevator calling signal, wherein the elevator calling response data comprises the priority of the elevator calling signal;
and the scheduling scheme determining module is used for determining a scheduling scheme for calling the elevator according to the priority.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform a calling method according to any of the embodiments of the invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to execute a ladder method according to any one of the embodiments of the present invention.
The technical scheme of the embodiment of the invention provides a ladder calling method, which comprises the following steps: when elevator calling signals are received, elevator operation information is acquired, the processing coefficient of the current elevator calling signals is determined according to the elevator operation information, elevator calling response data are determined based on the processing coefficient and the elevator calling signals, wherein the elevator calling response data comprise priorities of the elevator calling signals, a scheduling scheme of the elevator is determined according to the priorities, the elevator calling method can improve the scheduling efficiency of the elevator, various information related to the elevator is comprehensively considered when the scheduling scheme is determined, and the priorities of different elevator calling signals can be adjusted through the processing coefficient, so that the determined scheduling scheme is more suitable for an application scene of the elevator.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a ladder calling method according to a first embodiment of the invention;
fig. 2 is a schematic structural diagram of a elevator calling device according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device for implementing a ladder calling method according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a flowchart of a ladder calling method according to a first embodiment of the present invention.
When carrying out elevator dispatch, in order to promote the operating efficiency of elevator better, in dispatch in-process, can comprehensive consideration current elevator's multiple information, for example each floor passenger's waiting time, elevator operating efficiency, the multiple circumstances such as combine together with the application scene.
For the situation that the floors are higher and the number of elevators is larger, the information to be considered in the process of determining the scheduling scheme is more complex. Along with the development of the building industry and the elevator industry, the purpose of elevator application is increasing, the more components are connected, the more complicated is the input information, the meaning and value of many information are needed to correspond to the time change, when the multi-objective optimization problem of multiple elevators is involved, the systematic utilization of various information is important, the elevator dispatching system can have enough information to deeply judge and know, and the evaluation index problems such as the time of waiting for the passengers and the operation efficiency of the elevators are combined when the dispatching scheme is determined, so that the operation efficiency of the elevators and the riding experience of the passengers can be greatly improved.
In addition, in a specific use scene, the elevator can continuously run and collect historical data, and the process of determining the scheduling scheme can be adjusted and optimized aiming at updated historical data so as to obtain a better scheduling scheme, so that the elevator can be well adapted to the use scene after a period of running time, the running efficiency of the elevator is higher, and the riding experience of passengers is better.
The method may be performed by a elevator apparatus, which may be implemented in hardware and/or software.
As shown in fig. 1, the method comprises the steps of:
s110, when receiving the elevator calling signal, acquiring elevator operation information.
The elevator calling signal can be an elevator calling signal from an elevator calling board, and also can be an elevator calling signal from an elevator calling board.
When a call signal is received, in order to flexibly cope with various elevator use demands, for example, a part of buildings require that part of floors not to stop, such as only stop a single floor or only stop a double floor, and a part of buildings require that the call of the part of floors has the highest priority, such as an emergency room floor of a hospital, an operating room floor, and a floor with more people is preferred to stop in a peak period, when the call signal is received, elevator operation information can be obtained, and the elevator operation information can be information about the elevator use demands determined in advance, or can be real-time elevator operation data, such as the receiving time of the call signal and the stop floor of the current elevator, and if an elevator group, that is, when a plurality of elevator cars in one building are simultaneously operated for service, the stop floors of all elevators, the current operation speed of each elevator, the current load of each elevator and the like are obtained. By acquiring the elevator operation information, the scheduling scheme can be determined by comprehensively considering the multiple information, so that the scheduling scheme can be more in line with the application scene of the elevator.
S120, determining the processing coefficient of the current elevator calling signal according to the elevator operation information.
The processing coefficient can be understood as the weight when the elevator calling signal is processed, the processing coefficient can be updated and adjusted according to different elevator operation information, different processing coefficients corresponding to different elevator operation information combinations can be preset when the processing coefficient is determined, and when the elevator operation information is obtained, the processing coefficient corresponding to the current elevator operation information can be determined through matching.
If the current elevator calling time can be determined to be the use peak period of the elevator according to the elevator running information, the elevator calling signal is an elevator calling signal, in order to improve the running efficiency of the elevator and reduce the elevator calling time of passengers, the number of passengers can be determined in a mode of image analysis and the like after the sensor and the camera acquire images, at the moment, the number of passengers is also the elevator running information, when the current elevator number exceeds the specified number threshold value, the number of passengers on the floor can be considered to be more, the processing priority of the elevator calling signal can be increased by matching with the processing coefficient with a larger value, and more elevator passengers can take an elevator more quickly.
Different processing coefficients are determined by acquiring the obtained elevator operation information in real time, so that different current scene demands can be met.
In one embodiment, before S120, the method further includes the steps of:
acquiring a preset information template, wherein the information template comprises a plurality of elevator data types;
extracting information corresponding to the elevator data type from elevator calling signals and elevator operation information, and filling an information template by using the extracted information;
and carrying out digital processing on the filled information template to generate a calling information matrix.
The preset information template may include a part of elevator data types preset for the elevator requirement, for example, if the building in which the elevator is located can be known in advance, the elevator data types may include building information, and the corresponding building information may be a hospital, an office building, an apartment dormitory, a residential building, or the like. The elevator data types may also include physical signal information, operating information, history information, application scenario information, time information, etc. The physical signal information may be a mobile terminal elevator calling signal, a hall elevator calling signal, a VIP elevator calling signal and the like, the operation information may be floor information, current load, current speed and the like, the history information may be history elevator calling times, history arrival frequencies and the like corresponding to different floors, the application scene information may be a business trip peak, idle, fire fighting and the like, and the time information may be a morning and evening time period and the like.
For the elevator data type in the information template, part of information which does not need to be real-time can be determined and filled in advance from elevator operation information, such as building information, historical elevator calling times and the like, and updated information can be determined in advance or completed in advance.
The information with real-time requirement in the elevator data type can be extracted from elevator calling signals and elevator operation information corresponding to the elevator calling signals when the elevator calling signals are received and filled, such as current load, current speed and the like, and the extracted information is filled into corresponding positions in the information template according to different elevator data types.
The filled information templates can be digitally processed to generate a call information matrix, so that multiple information can be considered by processing the call information matrix when a scheduling scheme is determined later. The generation of matrices by digitally processing text information is a well-established technique and is not explained in detail here.
In specific implementation, the information template processing can be used for adjusting the elevator data types according to elevator use requirements in different scenes, and in addition, the information template processing can be used for adjusting according to different conditions of online operation and offline operation of the elevator. In order to avoid handling large amounts of data and information in case of offline operation, the elevator data types in the information templates may only be kept of the necessary type.
In one embodiment, the processing coefficient is a preset constant matrix, and the elevator operation information comprises elevator personalized information and historical operation information; s120 includes the steps of:
s120-1, determining a first constant associated with elevator personalized information in a constant matrix, and determining a second constant associated with historical operating information;
s120-2, updating the historical operation information in real time, and updating the second constant in real time according to the updated historical operation information in real time;
s120-3, determining the current processing coefficient according to the first constant and the second constant updated in real time.
The elevator calling information matrix is obtained after the multi-information of the elevators is combined and arranged and is subjected to digital processing, so that the processing coefficient can be in a matrix form, and different weight processing can be performed on the information of different elevator data types in the elevator calling information matrix.
The elevator individuation information refers to information which can be set in advance and is not influenced by real-time elevator conditions, and is for example, individuation requirements of stopping only on singular floors. In the constant matrix, the constant position corresponding to each elevator data type can be determined by acquiring the specific position of each elevator data type, so that a first constant associated with the elevator personalization information can be determined, and a second constant associated with the historical operating information can be determined.
In order to grasp the habit of using the elevator in the building where the elevator is located as the number of times of elevator operation increases, the emphasis point in determining the scheduling scheme can be adaptively adjusted. The historical operating information can be recorded in real time, such as the number of times a floor initiates a call in a certain time period, and the like, and the second constant associated with the historical operating information is updated in real time.
The updating of the second constant in real time, i.e. training and self-learning for historical operating data, may be done through a neural network.
In one embodiment, before S120, the method further includes the steps of:
acquiring duration time of the elevator calling signal;
when the duration exceeds the time threshold, judging that the elevator calling signal is invalid;
and aiming at the effective elevator calling signal, continuously executing the step of determining the processing coefficient of the current elevator calling signal according to the elevator operation information.
In order to improve the processing efficiency of the elevator calling signal, after the elevator calling signal is received, the validity of the elevator calling signal can be judged, the next processing is carried out only for the effective elevator calling signal, and the invalid elevator calling signal is shielded.
For example, when the duration of the elevator calling signal is too long and exceeds the time threshold, the button on the elevator calling board corresponding to the elevator calling signal can be considered to have a fault, when the button on the elevator calling board has a fault, the elevator calling signals of the same floor can be always input, the duration of the signal input can be too long, and the elevator calling signal can be judged to be invalid.
In addition, the analysis of the number of elevator people can be performed by combining the images acquired by the camera, for example, the situation that no passengers exist in or outside the elevator can be determined through the image analysis, but the corresponding elevator calling signal is received can be considered that the button of the elevator calling board is pressed under the condition that no elevator taking requirement exists, namely, the elevator calling board can be considered as a miscreant of elevator taking, and the elevator calling signal generated by the miscreant can be judged to be invalid at the moment.
S130, determining elevator calling response data based on the processing coefficient and the elevator calling signals, wherein the elevator calling response data comprises the priority of the elevator calling signals.
After the processing coefficients are determined, the call signals may be processed using the processing coefficients, thereby determining call response data. The elevator calling response data can be data which can meet the requirement of completing elevator calling scheduling use, such as whether the response is valid, the priority of elevator calling signals, response time sequence, elevator numbers of the response and the like.
In one example, if only a stop singular floor is set, the processing coefficient may be 0 after determining that the call signal is a double floor from the call signals, that is, the call data is not processed in response.
In another example, when there are two or more call signals, if a call signal is from an accent response floor, then its processing coefficient will be higher than the other call signals so that the call signal from the accent response floor is preferentially responded.
In one embodiment, the processing coefficients include one or more, and S130 includes the steps of:
s130-1, distributing processing coefficients for the elevator calling information matrix;
s130-2, multiplying the elevator calling information matrix with each allocated processing coefficient respectively to obtain one or more multiplication results;
and S130-3, carrying out averaging processing based on the multiplication result to obtain elevator calling response data.
Before the call response data is determined, the call information matrix can be subjected to standardized processing, and can be compressed or averaged according to the type or size of the data in a convolution or normalization mode, and the process can be called as the standardized processing of the call information matrix.
Each processing coefficient can correspond to a matrix processing unit, namely, the calculation between the processing coefficient and the elevator information matrix can be completed in the matrix processing unit. After the elevator calling information matrix is subjected to standardized processing, the elevator calling information matrix can be distributed to each matrix processing unit, and different matrix processing units can have different processing coefficients. For example, when the processing coefficient of a certain matrix processing unit is a constant matrix W, the call information matrix is x, the call information matrix x may be input into the matrix processing unit, calculation of w×x is performed, and the output multiplication result is y.
In a specific implementation, when the matrix processing unit processes the call information matrix based on the processing coefficient, a bias value, for example, a bias value B may be added, and in the matrix processing unit, wx+b=y, the output result is y, where the bias value may be preset, and updated along with the data of the running process.
When the elevator calling information matrix is specifically implemented, the operation of indexes such as elevator calling response, elevator operation efficiency, elevator operation energy consumption and the like can be considered in each matrix processing unit, and the operation aims to obtain the scheduling response and the loss evaluation of the elevator calling under the indexes such as elevator waiting time, starting and stopping times, controller temperature rise, rated load (number of people) operation time, rated speed operation time and the like of personnel outside the hall of different floors, and then obtain an output result y, so that the optimal scheduling scheme is obtained during subsequent processing as much as possible.
The total elevator waiting time of passengers after a certain floor initiates an elevator calling signal can be calculated, the current elevator waiting number n can be determined by configuring a camera and analyzing images acquired by the camera, and the time t from the elevator calling is pressed until the elevator reaches a door is used as the total elevator waiting time of passengers in the elevator calling and is used as a reference value. If no camera is configured, the t value can also be directly used as a reference value. That is, the more people waiting for a ladder on a certain floor, the longer the total waiting time of the passengers, and the higher the priority of the calling signals for the passengers waiting for the ladder can be achieved by optimizing the processing coefficient, so that the total waiting time of the passengers is reduced as much as possible.
The power consumption and the start-stop times for elevator operation may refer to the total data counted during a certain period as reference values, e.g. one week, one month.
The temperature rise of the controller can be collected as the highest temperature w of the controller in a certain period and the duration t of the occurrence of the highest temperature, and w is taken as a reference value.
The rated speed operation time can refer to the rated speed v of the elevator and the duration t of operation in a certain period, and v is taken as a reference value.
The rated load (number of people) operation time may refer to the rated load operation time te in proportion to the total operation time T for a certain period as a reference value.
In the index operation process, the reference value obtained by the above example can be compared with the respective preset ideal value, and the obtained difference value is used for optimizing the processing coefficient. The ideal value can be obtained from an empirical value or from an optimal value recorded in a period of time after the elevator is operated for the period of time.
After determining the plurality of output results y, a method such as threshold value judgment may be used, for example, an activation function such as Sigmoid (S-type function) is used to process part of the logic classification data, and since part of the logic classification data is non-1, i.e. 0, some of the logic classification data needs quantization data, and the logic classification data does not need complex data preprocessing, and only needs to be considered in the final logic judgment. For example, a button press is a press, but the time period for which the button is pressed is a separate instance of the type that is needed to digitize the adjacency, such as peak, next highest, off-peak, etc.
After all matrix processing units output y respectively and threshold judgment is completed on part of data, the average value of all output values y can be calculated, and the average value is call response data.
S140, determining a calling scheduling scheme according to the priority.
After the call response data is determined, a scheduling scheme may be determined according to the call signal priority determined in the call response data.
For example, after the elevator leaves the factory, the application scene, such as a special building like a hospital, can be clearly known, the building information in the elevator calling information matrix can be modified in advance by remote upgrading or on-site mobile terminal through a mobile phone, and the elevator is determined to be the hospital, and then the running information group can also be used for appointed opening of each floor information of the hospital, such as an operating room layer, an emergency layer, a hospitalization layer and the like. For different floor information, each processing coefficient can be directly determined according to the building floor design information provided by the user in advance.
For example, when the destination floor of the call signal is an operating room floor, the call signal is preferentially responded after the processing of the processing coefficient. Meanwhile, the initialization processing coefficient set by the factory can be continuously learned and optimized in the subsequent operation process, the information of the departure floor, the destination floor and the like with large people flow is identified, the processing coefficient is optimized under different evaluation indexes, and the calling response priority can be dynamically adjusted under the condition of continuously optimizing the processing coefficient, namely, the scheduling scheme gradually tends to adapt to the application scene.
In another example, where the building information is a office building, as such, the process coefficients may be set directly from known building floor design information provided by the user in advance. It is assumed that the user can only provide conventional information of a parking lot, a hall entrance, a dining hall, etc., and the remaining floor information is ambiguous, for example, the ladder requirement of which floor is great is ambiguous, etc. After the building information is selected as the office building, the running condition of the elevator can be automatically learned continuously through updating the running data, and then the processing parameters corresponding to each matrix processing unit are continuously adjusted.
As the time for which the elevator is put into operation increases, the processing coefficient of the floor information of each floor is optimally changed except for the floor designated by the user design, which is reflected in the elevator calling response data, such as judgment index for elevator waiting time, the number of people is more, and the influence proportion of the floor with high floor on the elevator is larger; the energy consumption index, the influence proportion of the floor with high historical single load capacity on the floor with high load is larger; the running efficiency, the total starting and stopping times of the elevator, the running times of the empty elevator and the like have larger influence on the specific gravity; so that a higher call priority can be obtained than the rest floors in the learning process.
In one embodiment, the method further comprises the steps of:
recording the processing coefficients allocated to the elevator calling information matrix in the elevator operation history;
and clearing the processing coefficient with the distribution times less than the specified times threshold value in the specified time.
When the elevator is put into operation for a period of time, the elevator is already finished running learning and optimizing the processing coefficients, the elevator calling information matrix of the unknown floor can be distributed to the processing coefficient with the best effect, namely the processing coefficients in the matrix processing unit for distributing and inputting are already optimized, at the moment, besides the current number of people, the information such as the floor height and the like are used for judging the priority, the elevator waiting time of passengers on the other floors is also needed, the overall running efficiency, the energy consumption and the like of the elevator are influenced, each target is balanced, namely the weight proportion which is related to the elevator calling priority is all available after each input information group enters the matrix processing unit. I.e. initially to all the process coefficients, and as the elevator is running steady, the process coefficients are updated to steady, there will gradually be a portion of the process coefficients that will not be reassigned.
For the process coefficients being distributed, as the process coefficients are being optimized and adjusted, but as the number of runs and coefficient modifications increase, the adjacent call information matrix will be distributed more and more probability to the assigned several process coefficients for processing, and the process coefficients not distributed in the subsequent run will be cleared, i.e. the corresponding matrix processing units will also be cleared, to reduce the running load of the elevator.
In one embodiment, when a plurality of elevator signals are received, S140 includes the steps of:
s140-1, sorting based on priorities corresponding to the elevator calling signals to obtain a priority sorting result;
s140-2, acquiring the current position of the elevator, and determining a scheduling scheme for calling the elevator according to the priority sorting result and the current position of the elevator.
When a plurality of elevator calling signals are provided at the same time, the priorities corresponding to the elevator calling signals are ordered, so that a priority ordering result is determined, in addition, the current position of the elevator can be considered, for example, a plurality of elevators serving the same building exist at the same time, and the scheduling scheme can be determined according to different positions of different elevators and in combination with the priority ordering.
For example, in the period when the elevator is just started to be used, in the building information of the office building, the known processing coefficient of the entrance layer of the hall is dynamically adjusted so that the response priority is adjusted to be higher when the time slot information group is judged to be in rush hours; when the time period information group is in the peak period of waiting, the elevator calling floors with more people waiting for the elevator can be identified through a camera, elevator load information or load information and the like, and the processing coefficients are dynamically adjusted, so that the priority of the floors with more passengers waiting for the elevator is increased; the number of people is small, the landing with lower floors can be regarded as low priority, the elevator can be jumped to run when being fully loaded, or the elevator with fewer people and longer waiting time can be scheduled to respond.
The scheduling scheme is adjusted by continuously adjusting the processing coefficient according to the operation information, so that the efficiency of elevator operation scheduling can be improved, various indexes for evaluating elevator use are optimized and balanced, and the processing of the elevator internal data is standardized, so that the operation of each system in the elevator is more hierarchical, and the elevator is more suitable for customization of users and diversification of application scenes.
Meanwhile, the elevator calling method can be conveniently copied and transplanted to different elevators. In addition, the elevator calling method is not only limited to the situation that a plurality of elevators are connected in parallel, but also suitable for single elevators in different application scenes, and more particularly in application scenes needing customization.
The embodiment of the invention provides a ladder calling method, which comprises the following steps: when elevator calling signals are received, elevator operation information is acquired, the processing coefficient of the current elevator calling signals is determined according to the elevator operation information, elevator calling response data are determined based on the processing coefficient and the elevator calling signals, wherein the elevator calling response data comprise priorities of the elevator calling signals, a scheduling scheme of the elevator is determined according to the priorities, the elevator calling method can improve the scheduling efficiency of the elevator, various information related to the elevator is comprehensively considered when the scheduling scheme is determined, and the priorities of different elevator calling signals can be adjusted through the processing coefficient, so that the determined scheduling scheme is more suitable for an application scene of the elevator.
Example two
Fig. 2 is a schematic structural diagram of a ladder calling device according to a second embodiment of the present invention, where the device includes:
an information obtaining module 210, configured to obtain elevator operation information when receiving an elevator calling signal;
a processing coefficient determining module 220, configured to determine a processing coefficient of the elevator calling signal according to the elevator operation information;
a call response data determining module 230, configured to determine call response data based on the processing coefficient and the call signal, where the call response data includes a priority of the call signal;
and the scheduling scheme determining module 240 is configured to determine a scheduling scheme for calling a ladder according to the priority.
In one embodiment, the apparatus further comprises the following modules:
the information template acquisition module is used for acquiring a preset information template, wherein the information template comprises a plurality of elevator data types;
the information template filling module is used for extracting information corresponding to the elevator data type from the elevator calling signal and the elevator operation information and filling the information template by using the extracted information;
the elevator calling information matrix generation module is used for carrying out digital processing on the filled information templates to generate an elevator calling information matrix.
In one embodiment, the apparatus further comprises the following modules:
the duration time acquisition module is used for acquiring the duration time of the elevator calling signal;
the execution module is used for judging that the elevator calling signal is invalid when the duration exceeds a time threshold;
and a calling module, configured to call the processing coefficient determining module 220 for the effective elevator calling signal.
In one embodiment, the processing coefficient is a preset constant matrix, and the elevator operation information comprises elevator personalized information and historical operation information;
the processing coefficient determining module 220 includes the following sub-modules:
a constant determination submodule for determining a first constant associated with the elevator personalization information and a second constant associated with the historical operating information in the constant matrix;
the updating sub-module is used for updating the historical operation information in real time and updating the second constant in real time according to the historical operation information updated in real time;
and the processing coefficient determining submodule is used for determining the current processing coefficient according to the first constant and the second constant updated in real time.
In one embodiment, the processing coefficients include one or more of the call response data determination module 230, including the following sub-modules:
The allocation submodule is used for allocating the processing coefficients to the elevator calling information matrix;
the multiplication sub-module is used for multiplying the elevator calling information matrix and each allocated processing coefficient respectively to obtain one or more multiplication results;
and the averaging processing sub-module is used for carrying out averaging processing based on the multiplication result to obtain elevator calling response data.
In one embodiment, the apparatus is further for:
recording the processing coefficients allocated to the elevator calling information matrix in the elevator operation history;
and clearing the processing coefficient with the distribution times less than the specified times threshold value in the specified time.
In one embodiment, when a plurality of elevator calling signals are received, the scheduling scheme determining module 240 includes the following sub-modules:
the sequencing sub-module is used for sequencing based on the priority corresponding to each elevator calling signal to obtain a priority sequencing result;
and the scheduling scheme determining submodule is used for acquiring the current position of the elevator and determining the scheduling scheme for calling the elevator according to the priority ordering result and the current position of the elevator.
The elevator calling device provided by the embodiment of the invention can realize the elevator calling method provided by the embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example III
Fig. 3 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 3, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM12 and the RAM13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as a elevator method.
In some embodiments, a calling method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM12 and/or the communication unit 19. When the computer program is loaded into RAM13 and executed by processor 11, one or more of the steps of a elevator method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform a calling method by any other suitable means (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (9)
1. A method of elevator calling, the method comprising:
when receiving the elevator calling signal, acquiring elevator operation information;
determining the processing coefficient of the current elevator calling signal according to the elevator running information;
determining elevator calling response data based on the processing coefficient and the elevator calling signal, wherein the elevator calling response data comprises the priority of the elevator calling signal;
determining a scheduling scheme of elevator calling according to the priority;
Before determining the current processing coefficient of the elevator calling signal according to the elevator operation information, the elevator calling method further comprises the following steps:
acquiring a preset information template, wherein the information template comprises a plurality of elevator data types; the elevator data type comprises building information;
extracting information corresponding to the elevator data type from the elevator calling signal and the elevator running information, and filling the information template by using the extracted information;
performing digital processing on the filled information template to generate a elevator calling information matrix;
the information which does not need to be real-time is determined and filled in advance from the elevator operation information aiming at the elevator data type in the information template.
2. The method of claim 1, further comprising, prior to said determining the current processing coefficients of the elevator call signal based on the elevator operation information:
acquiring the duration time of the elevator calling signal;
when the duration exceeds a time threshold, judging that the elevator calling signal is invalid;
and aiming at the effective elevator calling signal, continuously executing the elevator calling signal according to the elevator operation information, and determining the current processing coefficient of the elevator calling signal.
3. The method of claim 1, wherein the processing coefficients are a predetermined constant matrix, and the elevator operation information includes elevator personalization information and historical operation information;
the step of determining the current processing coefficient of the elevator calling signal according to the elevator operation information comprises the following steps:
determining a first constant associated with the elevator personalization information in the constant matrix and a second constant associated with the historical operating information;
updating the historical operation information in real time, and updating the second constant in real time according to the historical operation information updated in real time;
and determining the current processing coefficient according to the first constant and the second constant updated in real time.
4. A method according to claim 1 or 3, wherein the processing coefficients comprise one or more, the determining call response data based on the processing coefficients and the call signal comprising:
distributing the processing coefficients for the elevator calling information matrix;
multiplying the elevator calling information matrix with each allocated processing coefficient respectively to obtain one or more multiplication results;
And carrying out averaging processing based on the multiplication result to obtain elevator calling response data.
5. The method according to claim 4, wherein the method further comprises:
recording the processing coefficients allocated to the elevator calling information matrix in the elevator operation history;
and clearing the processing coefficient with the distribution times less than the specified times threshold value in the specified time.
6. The method of claim 5, wherein when a plurality of the call signals are received, the determining a scheduling scheme for a call according to the priority comprises:
sorting is carried out based on the priorities corresponding to the elevator calling signals, and a priority sorting result is obtained;
and acquiring the current position of the elevator, and determining a scheduling scheme of elevator calling according to the priority ordering result and the current position of the elevator.
7. A elevator apparatus, the apparatus comprising:
the information acquisition module is used for acquiring elevator operation information when receiving an elevator calling signal;
the processing coefficient determining module is used for determining the processing coefficient of the current elevator calling signal according to the elevator operation information;
the elevator calling response data determining module is used for determining elevator calling response data based on the processing coefficient and the elevator calling signal, wherein the elevator calling response data comprises the priority of the elevator calling signal;
The scheduling scheme determining module is used for determining a scheduling scheme for calling a ladder according to the priority;
the device further comprises:
the information template acquisition module is used for acquiring a preset information template, wherein the information template comprises a plurality of elevator data types; the elevator data type comprises building information;
the information template filling module is used for extracting information corresponding to the elevator data type from the elevator calling signal and the elevator operation information and filling the information template by using the extracted information;
the elevator calling information matrix generation module is used for carrying out digital processing on the filled information templates to generate an elevator calling information matrix;
the information which does not need to be real-time is determined and filled in advance from the elevator operation information aiming at the elevator data type in the information template.
8. An electronic device, the electronic device comprising:
at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform a calling method as claimed in any one of claims 1-6.
9. A computer readable storage medium storing computer instructions for causing a processor to perform a elevator method according to any one of claims 1-6.
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