CN220596709U - Elevator control system and elevator - Google Patents
Elevator control system and elevator Download PDFInfo
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- CN220596709U CN220596709U CN202320502141.8U CN202320502141U CN220596709U CN 220596709 U CN220596709 U CN 220596709U CN 202320502141 U CN202320502141 U CN 202320502141U CN 220596709 U CN220596709 U CN 220596709U
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- 238000001931 thermography Methods 0.000 claims abstract description 15
- 230000001815 facial effect Effects 0.000 claims abstract description 12
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- 238000004891 communication Methods 0.000 claims description 41
- 230000003993 interaction Effects 0.000 claims description 33
- 230000023402 cell communication Effects 0.000 claims description 6
- 230000005540 biological transmission Effects 0.000 claims description 4
- 238000003708 edge detection Methods 0.000 claims description 4
- 238000000034 method Methods 0.000 description 14
- 238000005516 engineering process Methods 0.000 description 9
- 238000012545 processing Methods 0.000 description 5
- 238000010801 machine learning Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 238000013528 artificial neural network Methods 0.000 description 3
- 238000005265 energy consumption Methods 0.000 description 3
- 230000005855 radiation Effects 0.000 description 3
- 230000006399 behavior Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 230000008878 coupling Effects 0.000 description 2
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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
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Abstract
The utility model provides an elevator control system and an elevator, comprising: the pressure acquisition module is used for periodically acquiring pressure change data of the bearing object borne by the elevator car; the control module is used for updating the preset elevator taking demand information according to the thermal imaging image uploaded by the biological identification module and the facial feature information of the target in and out of the elevator, which is extracted and uploaded by the first image acquisition module, when the elevator runs according to the preset elevator taking demand information; the biological identification module is used for acquiring a thermal imaging image of a target entering and exiting the elevator; the first image acquisition module is used for extracting facial feature information of a target; and the cloud database is used for recording the elevator taking demand information of the target. The elevator operation efficiency can be effectively improved, and the user experience is improved.
Description
Technical Field
The utility model relates to the technical field of elevator control systems, in particular to an elevator control system and an elevator.
Background
At present, the elevator dispatching comprises forward car robbing, nearby response, neural network balance dispatching and the like, in actual operation, usually the control of a high floor is preferential (i.e. the elevator stops at the high floor preferentially and then responds to a low floor nearby in sequence downwards), whether the elevator is fully loaded or not is not considered, passengers cannot know the running state of the elevator, the passengers are nearly fully loaded before arriving at the lower floor, the passengers cannot make selection in advance before riding the elevator, the elevator is normally started, invalid stop is caused, the running time is prolonged, and the problem seriously affects the user experience of the elevator at the low floor in the operation peak period of the elevator. In addition, the equipment in the elevator cannot be connected to a centralized control system, the operation of the corresponding equipment cannot be adjusted according to the actual operation state in the elevator, and the like, so that the intelligent elevator is not intelligent enough.
The 201910505713.6 patent discloses a device suitable for an elevator based on image recognition, but the device only recognizes an electric car, cannot recognize other living things such as pets, people and the like, and the elevator recognizes the mark content and cannot adjust the operation of the elevator according to the actual situation on site.
The patent number 201610196591.3 discloses an elevator control module and method, contains image recognition unit, infrared sensor etc. can be according to detecting module perception elevator car interior residual space, improves elevator operating efficiency, promotes user experience, but this kind of device is intelligent inadequately, can't combine elevator passenger peak use time period to carry out intelligent elevator dispatch regulation and control, and the discernment scene is comparatively limited, and the expansibility is poor.
The patent number 201810413441.2 discloses an information processing device and method based on a neural network, wherein the device is based on an artificial neural network to schedule the operation of an elevator and optimize the operation efficiency of the elevator, but the device is only limited to improving the elevator scheduling, does not combine a specific scene to perform corresponding regulation and control, and has certain limitation.
Accordingly, the prior art is subject to further development.
Disclosure of Invention
The utility model aims to overcome the technical defects and provide an elevator control system and an elevator, so as to solve the technical problems in the prior art.
According to a first aspect of the utility model there is provided an elevator control system comprising:
the pressure acquisition module is used for periodically acquiring pressure change data of the bearing object borne by the elevator car;
the control module is used for updating the preset elevator taking demand information according to the thermal imaging image uploaded by the biological identification module and the facial feature information of the target in and out of the elevator, which is extracted and uploaded by the first image acquisition module, when the elevator runs according to the preset elevator taking demand information;
the biological identification module is used for acquiring a thermal imaging image of a target entering and exiting the elevator;
the first image acquisition module is used for extracting facial feature information of a target;
and the cloud database is used for recording the elevator taking demand information of the target.
Specifically, the biometric module comprises an infrared thermal imaging unit comprising an infrared thermal imager.
Specifically, the system further comprises:
the second image acquisition module is used for acquiring a space image in the car, the control module performs edge detection on the space image in the car, calculates a width value of a detected object, and calculates to obtain residual space percentage data in the car.
Specifically, the system further comprises:
the communication module comprises a receiving end and a transmitting end, wherein the transmitting end is arranged at the top end outside the elevator car, the receiving end is a cell communication base station, the control module is arranged in the car body, the transmitting end of the communication module is in communication connection with the control module in the car body through a communication line, and the cell communication base station and the cloud database are in communication connection through 5G network transmission.
Specifically, the system further comprises:
and the elevation sensor is in communication connection with the control module and is used for acquiring floor information of current operation arrival.
Specifically the system further comprises:
the human-computer interaction module is in communication connection with the control module, the human-computer interaction module comprises a voice output module and a voice input module, the voice output module and the voice input module are respectively in communication connection with the control module, the human-computer interaction module is used for enabling passengers to select a destination floor through voice input, real-time cancellation of voice can be achieved, and a cloud database can be updated or put in storage through the human-computer interaction module. The man-machine interaction module can inquire a destination floor through voice broadcasting, record elevator taking information and update a cloud database.
Specifically, the man-machine interaction module further comprises:
the touch display screen is in communication connection with the control module, the touch display screen is located on the side wall of the elevator beside the elevator keys and is at a first preset height from the ground, speakers are arranged on two sides of the touch display screen, the voice input module is arranged at the bottom of the touch display screen, the voice output module is arranged inside the touch display screen and used for interaction with passengers and man-machine interaction, and the passengers can update and/or warehouse-in operation of a cloud database through the touch display screen.
Specifically, the control module further includes:
the timing unit is in communication connection with the control module and is used for calculating the stop time of the elevator car at different altitudes, namely, the stop time of the elevator car at different floors.
According to a second aspect of the utility model, there is provided an elevator comprising:
the elevator control system.
The beneficial effects are that:
the utility model provides an intelligent control system of an elevator, which is characterized by comprising the following functions of face recognition, personnel information statistics and the following by combining a plurality of accessory modules through a control device arranged in the elevator:
1. and counting the interval of the elevator taking time intervals, collecting information of passengers in each time interval (including the characteristics of the passengers and the passengers in each time interval) according to the elevator taking time intervals and the frequency of each layer of households, dividing a point table according to each time interval, and analyzing the use behaviors by using a machine learning technology to ensure that the elevator is operated near the corresponding households in the elevator taking demand peak time interval, thereby reducing the waiting time.
2. By combining the image processing technology, the personnel distribution space condition inside the elevator is identified, the elevator is ensured not to stop at the floor under the full load condition, and the user can check the running condition of the elevator through the mobile phone APP or the small program.
3. The passenger can select the destination floor through voice input and can cancel the destination floor in real time through voice, and the passenger can interact with the voice control module.
4. The elevator dispatching system combines the technologies of image processing technology, machine learning technology, edge calculation and the like, so that the elevator dispatching problem is more intelligent, the elevator operation strategy is adaptively regulated and controlled according to a plurality of scenes, the elevator operation efficiency can be effectively improved, the waiting time of a user is greatly shortened, the user experience is improved especially in a peak period, more personalized elevator dispatching service is provided, and the elevator dispatching system can be accessed to a park management system and is more intelligent. The elevator operation peak time period and the valley time period are flexibly switched, so that an elevator dispatching strategy is optimized, the elevator operation energy consumption is reduced, and resources are saved.
Drawings
Fig. 1 is a schematic diagram of an elevator control system employed by an embodiment of the present utility model.
Detailed Description
In order to make the present application solution better understood by those skilled in the art, the following description will be made in detail and with reference to the accompanying drawings in the embodiments of the present application, it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, shall fall within the scope of the present application.
In order to effectively solve the above-mentioned problems, according to a first aspect of the present utility model, there is provided an elevator control system, which is specifically explained below.
According to an embodiment of the present utility model, there is provided an elevator control system, referring to fig. 1, including:
the pressure acquisition module 200 is used for periodically acquiring pressure change data of the load born by the elevator car;
the control module 300 is used for updating the preset elevator taking demand information according to the thermal imaging image uploaded by the biological recognition module 400 and the facial feature information of the target in and out of the elevator, which is extracted and uploaded by the first image acquisition module 500, when the elevator runs according to the preset elevator taking demand information;
a biometric module 400 for acquiring a thermal imaging image of a target entering and exiting the elevator;
a first image acquisition module 500 for extracting facial feature information of a target;
the cloud database 800 is used for recording the elevator taking requirement information of the target.
It should be noted that, the biometric module 400 according to the present utility model includes a thermal infrared imager, where the thermal infrared imager is configured to collect an infrared thermal imaging image of a target and send the infrared thermal imaging image to the control module 300, and the control module 300 determines whether the target is a person according to the infrared thermal imaging image.
Here, the biological and non-biological distinguishing method is as follows:
the biological recognition module comprises an infrared thermal imager, is used for receiving infrared radiation of organisms, is combined with a built-in image processing algorithm, and is used for judging whether the objects are biological or not by combining the infrared radiation change values such as object surface temperature, movement tracks and the like with the image recognition module.
The animal/person distinguishing method is as follows:
when the body surface temperature of normal personnel is 36-37 ℃, and the radiation value is within the set interval, the face recognition is combined to process and analyze the image acquired by the first image acquisition module, and whether the person is a boarding person or a pet is comprehensively judged.
The infrared thermal imager and the first image acquisition module 500 are installed in the center of the inner top of the elevator car, a wire tube is adopted between the first image acquisition module 500 and the control module 300 to be hidden on the top side of the elevator, the second image acquisition module 600 is installed in the center of the inner top of the elevator car, and the processor and the memory are installed in the square shell and connected with other modules in the system through wires.
It should be noted that the intelligent elevator control system of the present utility model further includes an elevator operation parameter obtaining module, where the elevator operation parameter obtaining module needs to be connected with the control module 300 in a communication manner to obtain floor information including the current load capacity and current arrival of the elevator.
It will be appreciated that the communication module 700 includes a receiving end and a transmitting end, where the receiving end is located outside the elevator. Preferably, considering that the elevator is generally a metal closed box, the communication of the utility model adopts wireless transmission, the 700 transmitting end of the communication module is connected with the control module in the box through a communication line, the transmitting device is positioned at the outer top end of the elevator and is transmitted through a 5G network, the outer receiving end is a cell communication base station, and the cell communication base station is accessed to the Internet cloud server through the base station. The touch display screen is located on the side wall of the elevator beside the elevator button and is about 1.5m away from the ground, the two sides of the touch screen are provided with speakers, the bottom of the touch screen is provided with a voice input module, and the voice input module and the voice output module are arranged in the touch display screen and used for interaction with passengers and man-machine interaction.
The passenger can select the destination floor through voice input, can cancel through voice in real time, and can interact with the passenger by combining the voice input module and the voice output module; in addition, the target may also update or store in the cloud database 800 through the man-machine interaction module 100: the man-machine interaction module 100 can inquire the destination floor through voice broadcasting, record elevator taking information and update a database.
It should be noted that, when the target enters the elevator, the man-machine interaction module 100 performs voice interaction with the target, inquires about the floor to be reached and detects whether the target replies, if the target replies, identifies the target voice, and records the floor to be reached, at this time, the first image acquisition module 500 is used to extract the facial feature information of the target and compare with the cloud database 800, to determine whether the target is a person in the warehouse, if the target is a person in the warehouse, record the information of the elevator taking the elevator, wherein the information of the elevator taking the elevator comprises a stop floor, time and a destination floor, compare the information of the elevator taking the elevator this time with the original personal information, and update the database; if the target is a non-warehouse person, marking the target as a stranger, inquiring whether the target confirmation information is wrong or not through the man-machine interaction module 100, if yes, recording the elevator taking information, and if yes, updating the body elevator taking information to the cloud database 800, or newly building a user, so as to finish the warehouse-in operation of the cloud database 800 of the target, thereby further improving the intelligent degree and reliability of the utility model.
When the elevator system is installed and debugged, the number of elevators in the building is set, the maximum load of the elevators is set, and the main control device and the auxiliary equipment are installed in the current system time. When the elevator operates, the elevator operation state at the current moment is acquired by the elevator operation parameter acquisition device, and the elevator operation state at the current moment comprises the following steps: when the elevator reaches the current floor, whether people go up or not is judged according to the real-time bearing change of the elevator, if the current elevator weight changes, people going up the elevator is judged to exist on the current floor, at the moment, the first image acquisition module 500 acquires the personnel information entering an elevator cabin in real time, compares the personnel information with the face information recorded in the registered owner information base of the floor of the building in a community, determines the personnel information of the riding elevator, and classifies the personnel information as visitor groups, meanwhile, the second image acquisition module 600 performs auxiliary identification, firstly, preprocesses the image acquired by the second image acquisition module 600, divides the space in the elevator box, judges the space remaining condition according to the area, combines the thermal imaging module, judges the personnel space distribution condition, calculates the width value of the measured object, judges the internal remaining space of each area and feeds back to the control module 300 according to the residual percentage of the internal space of the elevator.
It will be appreciated that the method further comprises:
the method comprises the steps that a pressure acquisition module arranged at the bottom of an elevator car is used for acquiring pressure data received by the bottom of the elevator car according to a first acquisition period and calculating to obtain pressure change data of each first acquisition period, judging whether the pressure change data is larger than or equal to a third preset threshold value, if yes, extracting facial feature information of a target by a biological recognition module and judging whether a target entering and exiting the elevator is a person, if yes, extracting facial feature information of the target by a first image acquisition module and comparing the facial feature information with a cloud database, judging whether the target is a person in a warehouse, acquiring and/or updating elevator taking demand information of the target according to a judgment result, and scheduling the elevator according to elevator taking demand information recorded in the cloud database.
It can be understood that if the target is a person in the warehouse, recording the information of the target current elevator taking, wherein the information of the elevator taking comprises a stop floor, time and a target floor, comparing the information of the target current elevator taking with the original personal information, and updating a database;
if the target is a person who is not in the warehouse, marking the person as a stranger, recording the elevator taking information, and updating the database.
Specifically, the boarding requirement information includes:
the current floor of the elevator, the floor where the target person needs to arrive in the ascending/descending process and the running weight of the current elevator.
If the car load data is greater than or equal to the fourth preset threshold value or the remaining space percentage data is greater than or equal to the fifth preset threshold value, a command signal related to the floor stop request input by the outbound panel of the non-responsive elevator is output and the floor stop request is sent to the forward adjacent elevator and the current elevator continues to run.
Specifically, the step-up demand information of the target is obtained and/or updated according to the judgment result and whether the step-up demand information is the person in the warehouse or not, and the step-up demand information scheduling elevator recorded according to the cloud database further comprises:
according to the data recorded in the cloud database 800, a discrete elevator taking demand point set and a discrete elevator taking demand time point set corresponding to the discrete elevator taking demand point set are established, the stop time of the elevator at each floor is calculated, whether the stop time of the elevator at each floor is larger than or equal to a first preset threshold value is judged, the nearest elevator taking demand point is calculated according to a judgment result, and when the elevator is in an idle state, the elevator is controlled to run to the floor corresponding to the floor number of the demand point.
It should be noted that the elevator car of the present utility model further includes an altitude sensor for collecting altitude information of the elevator car, and the control module of the present utility model further includes a timing unit for calculating stop times of the elevator car at different altitudes, i.e. for calculating stop times of the elevator car at different floors.
Specifically, the method further comprises:
dividing discrete elevator taking demand time points in the discrete elevator taking demand point set according to a preset time interval, calculating a preset time interval in which the current moment is positioned if the stop time of an elevator at each floor is greater than or equal to a first preset threshold value, calculating the floor number of a first elevator taking demand point with highest demand probability in the discrete elevator taking demand points in the current preset time interval, judging whether the first elevator taking demand point is the nearest elevator taking demand point according to the floor number of the first elevator taking demand point and the floor number in which the current elevator is positioned, and if yes, outputting a floor corresponding to the floor number of the elevator controlling to run to the demand point.
Specifically, the determining whether the first elevator taking demand point is the nearest elevator taking demand point according to the floor number of the first elevator taking demand point and the floor number of the current elevator comprises:
judging whether the absolute value of the difference value between the floor number of the first elevator taking demand point and the floor number of the current elevator is smaller than or equal to a second preset threshold value, if so, the first elevator taking demand point is the nearest elevator taking demand point.
It can be understood that if the stop time of the elevator at each floor is greater than or equal to the first preset threshold value, the elevator is in an idle state at this time, the elevator is controlled to run to the floor corresponding to the floor number of the nearest demand point, so that the elevator running efficiency can be effectively improved, the waiting time of the user is greatly shortened, especially in the peak period, the user experience is improved, more personalized elevator dispatching service is provided, and the elevator can be accessed into a park management system, so that the elevator is more intelligent. The elevator operation peak time period and the valley time period are flexibly switched, so that an elevator dispatching strategy is optimized, the elevator operation energy consumption is reduced, and resources are saved.
The utility model provides an intelligent elevator control system, which is characterized in that a control device arranged in an elevator is combined with a plurality of accessory modules to finish face recognition and personnel information statistics.
It can be understood that the utility model realizes the statistics of the time intervals of riding elevators, collects the information of riding personnel in each time interval (including the characteristics of the riding personnel and the riding personnel in the time interval) according to the using elevator time interval and the frequency of each layer of households, divides the point table according to each time interval, and utilizes the machine learning technology to analyze the using behaviors so as to ensure that the elevator runs near the corresponding households in the time interval of the peak of the riding elevator demand and reduce the waiting time.
The system of the utility model further comprises a second image acquisition module, wherein the second image acquisition module is used for acquiring the space image in the car, the control module performs edge detection on the space image in the car, calculates the width value of the detected object and calculates the residual space percentage data in the car. Thereby ensure that the elevator stops the floor under the condition of full load, and the user can look over the elevator running situation through cell phone APP or applet.
It can be understood that the intelligent elevator control system provided by the utility model comprises the man-machine interaction module 100, passengers can select a destination floor through voice input, and can cancel the destination floor in real time through voice, and can interact with the passengers through combining with the voice control module.
The elevator dispatching system combines the technologies of image processing technology, machine learning technology, edge calculation and the like, so that the elevator dispatching problem is more intelligent, the elevator operation strategy is adaptively regulated and controlled according to a plurality of scenes, the elevator operation efficiency can be effectively improved, the waiting time of a user is greatly shortened, particularly in a peak period, the user experience is improved, more personalized elevator dispatching service is provided, and the elevator dispatching system can be accessed to a park management system and is more intelligent. The elevator operation peak time period and the valley time period are flexibly switched, so that an elevator dispatching strategy is optimized, the elevator operation energy consumption is reduced, and resources are saved.
Specifically, the biometric module 400 includes an infrared thermal imaging unit including a thermal infrared imager.
Specifically, the system further comprises:
the second image acquisition module 600, the second image acquisition module 600 is used for gathering the interior space image of car, the control module 300 with second image acquisition module 600 communication connection, the control module 300 carries out edge detection to the interior space image of car, calculates the measured object width value, calculates and obtains the interior residual space percentage data of car.
Specifically, the system further comprises:
the communication module 700, the communication module 700 contains receiving terminal and transmitting terminal, and wherein the transmitting terminal is installed on elevator car outside top, and the receiving terminal is district communication base station, control module 300 installs in the car box, and the transmitting terminal of communication module 700 passes through communication line and the control module 300 communication connection in the car box, and district communication base station and high in the clouds database 800 pass through 5G wireless network transmission and realize communication connection.
Specifically, the system further comprises:
and an altitude sensor, which is in communication connection with the control module 300 and is used for acquiring the floor information of the current operation arrival.
Specifically the system further comprises:
the man-machine interaction module 100, the man-machine interaction module 100 is in communication connection with the control module 300, the man-machine interaction module 100 comprises a voice output module and a voice input module, the voice output module and the voice input module are respectively in communication connection with the control module 300, the man-machine interaction module 100 is used for enabling passengers to select a destination floor through voice input, real-time cancellation of voice can be achieved, and the targets can also be updated or put in storage of the cloud database 800 through the man-machine interaction module 100: the man-machine interaction module 100 can inquire the destination floor through voice broadcasting, record elevator taking information and update a cloud database.
Specifically, the man-machine interaction module further comprises:
the touch display screen is in communication connection with the control module 300, the touch display screen is located on the side wall of the elevator beside the elevator keys and is at a first preset height from the ground, speakers are arranged on two sides of the touch display screen, the voice input module is arranged at the bottom of the touch display screen, the voice input module is arranged inside the touch display screen and used for interaction with passengers and man-machine interaction, and the passengers can update and/or put in storage operation of the cloud database 800 through the touch display screen.
Specifically, the control module 300 further includes:
and the timing unit is in communication connection with the control module 300 and is used for calculating the stop time of the elevator car at different altitudes, namely, the stop time of the elevator car at different floors.
According to a second aspect of the utility model there is provided an elevator comprising an elevator control system as described above.
It should be noted that the terms "first," "second," and the like in the description and claims of the present application 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 embodiments of the present application 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.
Alternatively, specific examples in this embodiment may refer to examples described in the foregoing embodiments, and this embodiment is not described herein.
The foregoing embodiment numbers of the present application are merely for describing, and do not represent advantages or disadvantages of the embodiments.
The integrated units in the above embodiments may be stored in the above-described computer-readable storage medium if implemented in the form of software functional units and sold or used as separate products. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including several instructions to cause one or more computer devices (which may be personal computers, servers or network devices, etc.) to perform all or part of the steps of the methods described in the various embodiments of the present application.
In the foregoing embodiments of the present application, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In several embodiments provided in the present application, it should be understood that the disclosed client may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the units, such as the division of the units, is merely a logical function division, and may be implemented in another manner, for example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The foregoing is merely a preferred embodiment of the present application and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present application and are intended to be comprehended within the scope of the present application.
Claims (9)
1. An elevator control system, comprising:
the pressure acquisition module is used for periodically acquiring pressure change data of the bearing object borne by the elevator car;
the control module is used for updating the preset elevator taking demand information according to the thermal imaging image uploaded by the biological identification module and the facial feature information of the target in and out of the elevator, which is extracted and uploaded by the first image acquisition module, when the elevator runs according to the preset elevator taking demand information;
the biological identification module is used for acquiring a thermal imaging image of a target entering and exiting the elevator;
the first image acquisition module is used for extracting facial feature information of a target;
the cloud database is used for recording the elevator taking demand information of the target;
the pressure acquisition module is also used for acquiring pressure data received by the bottom of the elevator car according to a first acquisition period;
the elevator operation parameter acquisition module is in communication connection with the control module so as to acquire the current carrying capacity of the elevator.
2. The elevator control system of claim 1, wherein the biometric module comprises an infrared thermal imaging unit comprising a thermal infrared imager.
3. The elevator control system of claim 1, wherein the system further comprises:
the second image acquisition module is used for acquiring a space image in the car, the control module performs edge detection on the space image in the car, calculates a width value of a detected object, and calculates to obtain residual space percentage data in the car.
4. The elevator control system of claim 1, wherein the system further comprises:
the communication module comprises a receiving end and a transmitting end, wherein the transmitting end is arranged at the top end outside the elevator car, the receiving end is a cell communication base station, the control module is arranged in the car body, the transmitting end of the communication module is in communication connection with the control module in the car body through a communication line, and the cell communication base station and the cloud database are in communication connection through 5G network transmission.
5. The elevator control system of claim 1, wherein the system further comprises:
and the elevation sensor is in communication connection with the control module and is used for acquiring floor information of current operation arrival.
6. The elevator control system of claim 1, wherein the system further comprises:
the human-computer interaction module is in communication connection with the control module, the human-computer interaction module comprises a voice output module and a voice input module, the voice output module and the voice input module are respectively in communication connection with the control module, the human-computer interaction module is used for enabling passengers to select a destination floor through voice input, real-time cancellation of voice can be achieved, and a cloud database can be updated or put in storage through the human-computer interaction module. The man-machine interaction module can inquire a destination floor through voice broadcasting, record elevator taking information and update a cloud database.
7. The elevator control system of claim 6, wherein the human-machine interaction module further comprises:
the touch display screen is in communication connection with the control module, the touch display screen is located on the side wall of the elevator beside the elevator keys and is at a first preset height from the ground, speakers are arranged on two sides of the touch display screen, the voice input module is arranged at the bottom of the touch display screen, the voice output module is arranged inside the touch display screen and used for interaction with passengers and man-machine interaction, and the passengers can update and/or warehouse-in operation of a cloud database through the touch display screen.
8. The elevator control system of claim 5, wherein the control module further comprises:
the timing unit is in communication connection with the control module and is used for calculating the stop time of the elevator car at different altitudes, namely, the stop time of the elevator car at different floors.
9. An elevator comprising an elevator control system according to any one of claims 1-8.
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| CN202320502141.8U CN220596709U (en) | 2023-03-15 | 2023-03-15 | Elevator control system and elevator |
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