CN114955753A - Elevator running state adjusting method and device, electronic equipment and medium - Google Patents
Elevator running state adjusting method and device, electronic equipment and medium Download PDFInfo
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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
- B66B1/06—Control systems without regulation, i.e. without retroactive action electric
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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
- 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
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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
- B66B5/02—Applications of checking, fault-correcting, or safety devices in elevators responsive to abnormal operating conditions
- B66B5/04—Applications of checking, fault-correcting, or safety devices in elevators responsive to abnormal operating conditions for detecting excessive speed
- B66B5/06—Applications of checking, fault-correcting, or safety devices in elevators responsive to abnormal operating conditions for detecting excessive speed electrical
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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
- B66B5/02—Applications of checking, fault-correcting, or safety devices in elevators responsive to abnormal operating conditions
- B66B5/16—Braking or catch devices operating between cars, cages, or skips and fixed guide elements or surfaces in hoistway or well
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B50/00—Energy efficient technologies in elevators, escalators and moving walkways, e.g. energy saving or recuperation technologies
Abstract
The disclosure relates to the technical field of computers, and provides an elevator running state adjusting method, an elevator running state adjusting device, an elevator running state adjusting electronic device and an elevator running state adjusting medium. The method comprises the following steps: collecting operation related information of each elevator in a target floor within a preset time period to obtain an operation related information set; generating an operation statistical result graph corresponding to each elevator based on the operation related information set to obtain an operation statistical result graph set; analyzing the operation statistical result graph set to obtain an elevator state analysis result; and adjusting the running state of each elevator based on the elevator state analysis result. This embodiment is to gathering the operation relevant information of every elevator and making statistics of, analyzing, obtains elevator state analysis result, again according to elevator state analysis result, carries out effective adjustment to the running state of elevator, for the monitoring of elevator, maintenance and management work provide very big facility, improved the effective rate of utilization of elevator also indirectly improved user experience.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a method and an apparatus for adjusting an operating state of an elevator, an electronic device, and a medium.
Background
With the progress of science and technology, more and more science and technology products are widely applied to the public life, a high-rise building is born on the land, and the appearance of an elevator also becomes an expression of improving the quality of life of people. However, in the using process of the elevator, the monitoring and adjustment of the running state of the elevator and the maintenance and repair work of the elevator cannot be avoided, and the intelligent monitoring undoubtedly provides important help for the monitoring work of the elevator. How the operation of the elevator is adjusted to the problem that is currently the first solution to be based on the monitored situation.
Disclosure of Invention
In view of this, the embodiments of the present disclosure provide an elevator operation state adjustment method, an elevator operation state adjustment device, an electronic device, and a medium, so as to solve the problem in the prior art how to adjust an operation state of an elevator according to a monitoring condition of the elevator.
In a first aspect of the disclosed embodiments, there is provided an elevator operation state adjustment method, including: collecting operation related information of each elevator in a target floor within a preset time period to obtain an operation related information set; generating an operation statistical result graph corresponding to each elevator based on the operation related information set to obtain an operation statistical result graph set; analyzing the operation statistical result graph set to obtain an elevator state analysis result; and adjusting the running state of each elevator based on the elevator state analysis result.
In a second aspect of the disclosed embodiments, there is provided an elevator operating state adjusting device, including: the acquisition unit is configured to acquire operation related information of each elevator in the target floor within a preset time period to obtain an operation related information set; a generating unit configured to generate an operation statistical result graph corresponding to each elevator based on the operation related information set to obtain an operation statistical result graph set; the analysis unit is configured to analyze the operation statistical result atlas to obtain a property management analysis result; and the adjusting unit is configured to adjust the running state of each elevator based on the result of the property management analysis.
In a third aspect of the embodiments of the present disclosure, a computer device is provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the above method when executing the computer program.
In a fourth aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, which stores a computer program, which when executed by a processor, implements the steps of the above-mentioned method.
Compared with the prior art, the embodiment of the disclosure has the following beneficial effects: firstly, acquiring operation related information of each elevator in a target floor within a preset time period to obtain an operation related information set; then, based on the operation related information set, generating an operation statistical result graph corresponding to each elevator to obtain an operation statistical result graph set; then, analyzing the operation statistical result atlas to obtain an elevator state analysis result; and finally, adjusting the running state of each elevator based on the elevator state analysis result. According to the method, the collected operation related information of each elevator is counted and analyzed to obtain the elevator state analysis result, and then the operation state of the elevator is effectively adjusted according to the elevator state analysis result, so that great convenience is provided for monitoring, maintaining and managing of the elevator, the effective utilization rate of the elevator is improved, and user experience is indirectly improved.
Drawings
To more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings needed for the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art without inventive efforts.
Fig. 1 is a schematic illustration of one application scenario of an elevator operating state adjustment method according to some embodiments of the present disclosure;
fig. 2 is a flow chart of some embodiments of an elevator run state adjustment method according to the present disclosure;
fig. 3 is a schematic structural view of some embodiments of an elevator operating condition adjustment apparatus according to the present disclosure;
FIG. 4 is a schematic block diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 is a schematic diagram of one application scenario of an elevator operation state adjustment method according to some embodiments of the present disclosure.
In the application scenario of fig. 1, first, the computing device 101 may collect operation-related information of each elevator in the target floor within a preset time period, so as to obtain an operation-related information set 102. Then, based on the operation-related information set 102, the computing device 101 may generate an operation statistical result graph corresponding to each elevator, and obtain an operation statistical result graph set 103. The computing device 101 may then analyze the set of operational statistics graphs 103 to obtain an elevator state analysis result 104. Finally, based on the elevator state analysis result 104, the computing device 101 can perform operation state adjustment for each elevator, as indicated by reference numeral 105.
The computing device 101 may be hardware or software. When the computing device 101 is hardware, it may be implemented as a distributed cluster composed of a plurality of servers or terminal devices, or may be implemented as a single server or a single terminal device. When the computing device 101 is embodied as software, it may be installed in the hardware devices listed above. It may be implemented, for example, as multiple software or software modules to provide distributed services, or as a single software or software module. And is not particularly limited herein.
It should be understood that the number of computing devices in FIG. 1 is merely illustrative. There may be any number of computing devices, as implementation needs dictate.
Fig. 2 is a flow chart of some embodiments of an elevator operating condition adjustment method according to the present disclosure. The elevator operating state adjustment method of fig. 2 may be performed by the computing device 101 of fig. 1. As shown in fig. 2, the method for adjusting the operating state of an elevator includes:
step S201, collecting operation related information of each elevator in a target floor within a preset time period to obtain an operation related information set.
In some embodiments, the operation-related information includes: number of stops, length of stop, stop floor and operating speed. An executing body (such as a computing device 101 shown in fig. 1) of the elevator running state adjusting method can acquire running related information of each elevator in a target floor within a preset time period by the following steps to obtain a running related information set:
in the first step, the execution body may detect an operation state of each of the elevators. Here, the operation state includes: a stationary state and a moving state. As an example, the execution main body may acquire a gravitational acceleration of the elevator by using an inertial sensor installed on a top of the elevator, and if the gravitational acceleration is 0, the execution main body may determine that the operation state of the elevator is a stationary state, and if the gravitational acceleration is not 0, the execution main body may determine that the operation state of the elevator is a moving state, and the inertial sensor may be an imu (inertial Measurement unit) inertial sensor.
And secondly, the execution main body can record the change times of the running state of each elevator in the preset time period. As an example, the execution main body records 1 change of the operation state of the elevator from a static state to a motion state, and records 1 change of the operation state from the motion state to the static state, so as to obtain the change times of the operation state of the elevator in the preset time period.
And thirdly, the execution main body can calculate the stopping times of each elevator in the preset time period based on the change times. As an example, since the number of times of change of the operation state corresponding to each stop of the elevator is 2 (the operation state changes from the motion state to the stationary state to represent that the elevator stops, and the operation state changes from the stationary state to the motion state to represent that the elevator ends the stop), the execution main body may divide the number of times of change by 2 to obtain the number of stops. Optionally, if the number of times of change cannot be divided by 2, the division result is an integer and then 1 is added to obtain the number of times of parking. As another example, if the number of changes is 50, the execution main body may calculate the number of stops to be 25, and if the number of changes is 13, the execution main body may calculate the number of stops to be 7, which indicates that the elevator is not changed from the stationary state to the moving state again after the elevator stops.
And fourthly, the execution main body may use a time point when the operation state of each elevator is changed from the operation state to the stationary state within the preset time period as a start time point.
In the fifth step, the execution main body may set a time point when the operation state of each elevator changes from the stationary state to the operation state within the preset time period as a termination time point.
Sixthly, the execution main body may calculate a stopping time period of each stop of the elevator according to the start time point and the end time point.
As an example, "elevator number: 01 "is" 13: 06: 12 "as the starting time point, the time point when the running state changes from the stationary state to the moving state is" 13: 06: 48 ", the executive body can calculate the stopping time length of this time to be '36 seconds', and therefore the method can calculate the stopping time length of each stopping of each elevator.
Seventh, in response to detecting that there is an elevator in each of the elevators whose operation state is changed from a motion state to a stationary state, the execution body may collect a distance between the top of the elevator and an inner surface of the top of the elevator shaft. Alternatively, the actuator may measure a distance between the top of the elevator and an inner surface of the top of the elevator shaft using a laser sensor or an infrared sensor installed at the top of the elevator.
And eighthly, the execution main body can calculate the stopping floor of the elevator stopping at this time based on the distance. For example, the execution main body may divide the distance by a floor height of each floor of the target floor to obtain a floor number difference between the elevator and a top floor, and subtract the floor number difference from the floor number of the target floor to obtain a stop floor at which the elevator stops this time.
And ninthly, the execution main body can acquire the speed of each elevator in a motion state as the running speed of the elevator by using a sensor. Here, the sensor may be a general velocity sensor installed at the outside of the elevator.
Tenth, the execution main body can combine the stopping times of each elevator in the preset time period, the stopping time of each stopping, the stopping floor of each stopping and the running speed to obtain the running information of the elevator, so as to obtain a running related information set.
And step S202, generating an operation statistical result graph corresponding to each elevator based on the operation related information set to obtain an operation statistical result graph set.
In some embodiments, the execution main body may establish an initial statistical result map of the elevators by determining the number of times of stopping of the elevators as a horizontal coordinate axis and determining the length of time of stopping of the elevators as a vertical coordinate axis for each of the elevators based on the operation-related information set. Here, the initial statistical result map may be a line graph or a bar graph. The executive agent may then add the stopping floor of each stop of the elevator to the initial statistics graph. As an example, if the initial statistics graph is a line graph, the executive body can add a stop floor to one side of the corresponding data point, and if the initial statistics graph is a bar graph, the executive body can add a stop floor to the top of the corresponding bar in the graph. Then, the execution body may mark the operation speed of the elevator at a target position in the initial statistical result map to obtain an operation statistical result map of the elevator. As an example, the execution subject may add the running speed to the lower side or either of the left and right sides of the initial statistical result graph to obtain the running statistical result graph. The above description is only for illustrative purposes, and is not intended to be limiting.
And step S203, analyzing the operation statistical result atlas to obtain an elevator state analysis result.
In some embodiments, the execution main body may analyze the number of times of stopping and the stopping duration of each elevator for the operation statistics result graph set, and when the number of times of stopping is lower than a preset number of times and the stopping duration is lower than a preset duration, the execution main body may generate an elevator state analysis result as the low utilization rate. The execution main body can analyze the running speed of the running statistical result graph set, and when the running speed does not belong to a preset running speed threshold range, the execution main body can generate an elevator state analysis result as abnormal elevator running.
Optionally, when the execution main body detects that the operation speed exceeds a preset alarm threshold, the execution main body may control the elevator with the operation speed exceeding the preset alarm threshold to execute a preset emergency braking program, and transmit alarm information to the mobile device of the property management contact person of the target floor. The monitoring of the preset alarm threshold value of the running speed and the utilization of the emergency braking program can find serious abnormity of the running in time and take emergency measures, thereby providing guarantee for the life safety of people.
And step S204, adjusting the running state of each elevator based on the elevator state analysis result.
In some embodiments, the execution main body may transmit the elevator state analysis result to a target property management device having a display function. Then, the execution main body can control the target property management device to display the elevator state analysis result and display a preset adjustment instruction input page. Then, the execution body may receive an adjustment instruction input for the preset adjustment instruction input page. Here, the adjustment instruction includes: elevator numbering and operating state adjustment information. Finally, based on the adjustment command, the execution main body can adjust the operation state of the elevator with the elevator number according to the operation state adjustment information.
Compared with the prior art, the embodiment of the disclosure has the following beneficial effects: firstly, acquiring operation related information of each elevator in a target floor within a preset time period to obtain an operation related information set; then, based on the operation related information set, generating an operation statistical result graph corresponding to each elevator to obtain an operation statistical result graph set; then, analyzing the operation statistical result atlas to obtain an elevator state analysis result; and finally, adjusting the running state of each elevator based on the elevator state analysis result. According to the method, the collected operation related information of each elevator is counted and analyzed to obtain the elevator state analysis result, and then the operation state of the elevator is effectively adjusted according to the elevator state analysis result, so that great convenience is provided for monitoring, maintaining and managing of the elevator, the effective utilization rate of the elevator is improved, and user experience is indirectly improved. In addition, the method provided by the embodiment of the disclosure utilizes various sensors with high sensitivity in the implementation process, so that the accuracy of the collected stopping times, stopping duration, stopping floors and running speed of the elevator is higher. The running condition of each elevator is specifically analyzed, and the error between the generated elevator state analysis result and the actual condition is reduced. The elevator state analysis result is transmitted and displayed on the target property management equipment, so that management personnel can conveniently check the running condition of the elevator in real time, and can conveniently issue an adjustment instruction at any time.
All the above optional technical solutions may be combined arbitrarily to form optional embodiments of the present application, and are not described herein again.
The following are embodiments of the disclosed apparatus that may be used to perform embodiments of the disclosed methods. For details not disclosed in the embodiments of the apparatus of the present disclosure, refer to the embodiments of the method of the present disclosure.
Fig. 3 is a schematic structural view of some embodiments of an elevator operating condition adjusting apparatus according to the present disclosure. As shown in fig. 3, the elevator operation state adjusting apparatus includes: an acquisition unit 301, a generation unit 302, an analysis unit 303 and an adjustment unit 304. The acquisition unit 301 is configured to acquire operation related information of each elevator in a target floor within a preset time period to obtain an operation related information set; a generating unit 302 configured to generate an operation statistical result graph corresponding to each elevator based on the operation related information set, so as to obtain an operation statistical result graph set; an analysis unit 303 configured to analyze the operation statistical result atlas to obtain a property management analysis result; and an adjusting unit 304 configured to adjust the operation state of each elevator based on the result of the property management analysis.
In some optional implementations of some embodiments, the operation-related information includes: number of stops, length of stop, stop floor and operating speed.
In some optional implementations of some embodiments, the acquisition unit 301 of the elevator operation state adjustment device is further configured to: detecting an operation state of each of the elevators, wherein the operation state includes: a stationary state and a moving state; recording the change times of the running state of each elevator in the preset time period; calculating the stopping times of each elevator in the preset time period based on the change times; taking the time point when the running state of each elevator changes from the motion state to the static state in the preset time period as an initial time point; taking the time point of the change of the running state of each elevator from the static state to the motion state in the preset time period as a termination time point; and calculating the stopping time length of each elevator stopping according to the starting time point and the ending time point.
In some optional implementations of some embodiments, the acquisition unit 301 of the elevator operation state adjustment device is further configured to: collecting the distance between the top of the elevator and the inner surface of the top of the elevator shaft in response to detecting that an elevator with the running state changed from the moving state to the static state exists in each elevator; calculating to obtain the stopping floor of the elevator stopping at this time based on the distance; acquiring the speed of each elevator in a motion state by using a sensor as the running speed of the elevator; and combining the stopping times of each elevator in the preset time period, the stopping time of each stopping, the stopping floor of each stopping and the running speed to obtain the running information of the elevator.
In some optional implementations of some embodiments, the generation unit 302 of the elevator operation state adjustment device is further configured to: based on the operation related information set, for each elevator, determining the stopping times of the elevator as a transverse coordinate axis, determining the stopping duration of the elevator as a longitudinal coordinate axis, and establishing an initial statistical result graph of the elevator; adding the stopping floor of each stopping of the elevator to the initial statistical result chart; and marking the running speed of the elevator at the target position in the initial statistical result graph to obtain the running statistical result graph of the elevator.
In some optional implementations of some embodiments, the analysis unit 303 of the elevator operating state adjustment device is further configured to: analyzing the stopping times and stopping duration of each elevator for the operation statistic result graph set, wherein when the stopping times are lower than the preset times and the stopping duration is lower than the preset duration, the elevator state analysis result is that the utilization rate is low; and analyzing the running speed of the running statistical result graph set, wherein when the running speed does not belong to a preset running speed threshold range, the elevator state analysis result is abnormal elevator running.
In some optional implementations of some embodiments, the adjusting unit 304 of the elevator operation state adjusting device is further configured to: transmitting the elevator state analysis result to target property management equipment with a display function; controlling the target property management equipment to display the elevator state analysis result and a preset adjustment instruction input page; receiving an adjustment instruction input by aiming at the preset adjustment instruction input page, wherein the adjustment instruction comprises: elevator numbering and operating state adjustment information; and adjusting the running state of the elevator with the number of the elevator according to the running state adjusting information based on the adjusting command.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present disclosure.
Referring now to FIG. 4, a block diagram of an electronic device (e.g., computing device 101 of FIG. 1)400 suitable for use in implementing some embodiments of the present disclosure is shown. The server shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 4, electronic device 400 may include a processing device (e.g., central processing unit, graphics processor, etc.) 401 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)402 or a program loaded from a storage device 408 into a Random Access Memory (RAM) 403. In the RAM 403, various programs and data necessary for the operation of the electronic apparatus 400 are also stored. The processing device 401, the ROM402, and the RAM 403 are connected to each other via a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
Generally, the following devices may be connected to the I/O interface 405: input devices 406 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 407 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 408 including, for example, tape, hard disk, etc.; and a communication device 409. The communication means 409 may allow the electronic device 400 to communicate wirelessly or by wire with other devices to exchange data. While fig. 4 illustrates an electronic device 400 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 4 may represent one device or may represent multiple devices as desired.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network through the communication device 409, or from the storage device 408, or from the ROM 402. The computer program, when executed by the processing apparatus 401, performs the above-described functions defined in the methods of some embodiments of the present disclosure.
It should be noted that the computer readable medium described above in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having 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. In some embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the apparatus; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: collecting operation related information of each elevator in a target floor within a preset time period to obtain an operation related information set; generating an operation statistical result graph corresponding to each elevator based on the operation related information set to obtain an operation statistical result graph set; analyzing the operation statistical result graph set to obtain an elevator state analysis result; and adjusting the running state of each elevator based on the elevator state analysis result.
Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in some embodiments of the present disclosure may be implemented by software, and may also be implemented by hardware. The described units may also be provided in a processor, and may be described as: a processor includes an acquisition unit, a generation unit, an analysis unit, and an adjustment unit. The names of the units do not form a limitation to the units themselves in some cases, for example, the collecting unit can also be described as a unit for collecting operation related information of each elevator in a target floor within a preset time period to obtain an operation related information set.
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.
Claims (10)
1. An elevator operation state adjusting method is characterized by comprising the following steps:
collecting operation related information of each elevator in a target floor within a preset time period to obtain an operation related information set;
generating an operation statistical result graph corresponding to each elevator based on the operation related information set to obtain an operation statistical result graph set;
analyzing the operation statistical result graph set to obtain an elevator state analysis result;
and adjusting the running state of each elevator based on the elevator state analysis result.
2. The elevator operation state adjustment method according to claim 1, wherein the operation-related information includes: number of stops, length of stop, stop floor and operating speed.
3. The method for adjusting the running state of the elevator according to claim 2, wherein the step of acquiring running related information of each elevator in the target floor within a preset time period to obtain a running related information set comprises the following steps:
detecting an operational state of each of the elevators, wherein the operational state includes: a stationary state and a moving state;
recording the change times of the running state of each elevator in the preset time period;
calculating the stopping times of each elevator in the preset time period based on the change times;
taking the time point when the running state of each elevator changes from the motion state to the static state in the preset time period as an initial time point;
taking the time point of the change of the running state of each elevator from the static state to the motion state in the preset time period as a termination time point;
and calculating the stopping time length of each elevator stopping according to the starting time point and the ending time point.
4. The method for adjusting the running state of the elevator according to claim 3, wherein the step of acquiring running-related information of each elevator in the target floor within a preset time period to obtain a running-related information set comprises the following steps:
in response to detecting that there is an elevator in each of the elevators whose operating state changes from a moving state to a stationary state, acquiring a distance between the top of the elevator and an inner surface of the top of the elevator shaft;
calculating and obtaining the stopping floor of the elevator stopping at this time based on the distance;
acquiring the speed of each elevator in a motion state by using a sensor as the running speed of the elevator;
and combining the stopping times of each elevator in the preset time period, the stopping time of each stopping, the stopping floor of each stopping and the running speed to obtain the running information of the elevator.
5. The method according to claim 2, wherein the generating a running statistical result graph corresponding to each elevator based on the running-related information set to obtain a running statistical result graph set comprises:
based on the operation related information set, for each elevator, determining the stopping times of the elevator as a transverse coordinate axis, determining the stopping duration of the elevator as a longitudinal coordinate axis, and establishing an initial statistical result graph of the elevator;
adding a stopping floor of each stop of the elevator to the initial statistical result map;
and marking the running speed of the elevator at the target position in the initial statistical result graph to obtain a running statistical result graph of the elevator.
6. The method of adjusting an elevator operating condition according to claim 5, wherein analyzing the graph set of operational statistics to obtain an elevator condition analysis result comprises:
analyzing the stopping times and stopping duration of each elevator for the operation statistics result graph set, wherein when the stopping times are lower than the preset times and the stopping duration is lower than the preset duration, the elevator state analysis result is that the utilization rate is low;
and analyzing the running speed of the running statistical result graph set, wherein when the running speed does not belong to a preset running speed threshold range, the elevator state analysis result is abnormal elevator running.
7. The method according to claim 1, wherein the performing operation state adjustment for each elevator based on the elevator state analysis result comprises:
transmitting the elevator state analysis result to target property management equipment with a display function;
controlling the target property management equipment to display the elevator state analysis result and a preset adjustment instruction input page;
receiving an adjustment instruction input aiming at the preset adjustment instruction input page, wherein the adjustment instruction comprises: elevator numbering and operating state adjustment information;
and adjusting the running state of the elevator with the number of the elevator according to the running state adjustment information based on the adjustment instruction.
8. An elevator operation state adjusting device, comprising:
the acquisition unit is configured to acquire operation related information of each elevator in the target floor within a preset time period to obtain an operation related information set;
the generating unit is configured to generate a running statistical result graph corresponding to each elevator based on the running related information set to obtain a running statistical result graph set;
the analysis unit is configured to analyze the operation statistical result atlas to obtain a property management analysis result;
and the adjusting unit is configured to adjust the running state of each elevator based on the result of the property management analysis.
9. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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