CN108382940A - Lift running safety monitoring method, equipment and readable storage medium storing program for executing - Google Patents
Lift running safety monitoring method, equipment and readable storage medium storing program for executing Download PDFInfo
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- CN108382940A CN108382940A CN201810217337.6A CN201810217337A CN108382940A CN 108382940 A CN108382940 A CN 108382940A CN 201810217337 A CN201810217337 A CN 201810217337A CN 108382940 A CN108382940 A CN 108382940A
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- elevator
- running safety
- anomalous event
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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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- Maintenance And Inspection Apparatuses For Elevators (AREA)
Abstract
The invention discloses a kind of lift running safety monitoring method, the lift running safety monitoring method includes the following steps：When occupant ride elevator, the operation data of elevator, the shooting image and voice information in lift car are acquired；According to the operation data, the shooting image and voice information, judge that current elevator whether there is anomalous event；When there are anomalous event, partition of the level is carried out to the anomalous event, and obtain and preset abnormality processing strategy corresponding with the rank.The invention also discloses a kind of lift running safety monitoring device and readable storage medium storing program for executing.The present invention can be monitored in real time and be protected to passenger in conjunction with elevator operation itself and car environment, and then improve the safety and reliability of occupant ride elevator.
Description
Technical field
The present invention relates to technical field of elevator equipment more particularly to a kind of lift running safety monitoring method, equipment and can
Read storage medium.
Background technology
Elevator is widely used in the regions such as high buildings and large mansions, school or outdoor sight spot, is people as a kind of facilities for transport and communication
Work and life bring huge convenience.Development with society and the elevator accident that takes place frequently in recent years, to electricity
The security requirement of ladder is also higher and higher.
Currently, existing elevator is largely equipped with monitoring device, but the only operation of monitoring elevator itself and use state,
And and the situation of passenger monitor and protect accordingly in unbonded lift car.As passenger since physical reason is fallen in a swoon or portion
When taking visitor's generation uncivil behavior separately or encountering the fortuitous events such as elevator faults, it is difficult to execute corresponding measure in first time, lead
Cause jeopardizes the life and health or property safety of passenger.
Invention content
The main purpose of the present invention is to provide a kind of lift running safety monitoring method, equipment and readable storage medium storing program for executing,
The technical issues of aiming to solve the problem that the safety and reliability for how improving occupant ride elevator.
To achieve the above object, a kind of lift running safety monitoring method provided by the invention, the lift running safety
Monitoring method includes the following steps：
When occupant ride elevator, the operation data of elevator, the shooting image and voice information in lift car are acquired；
According to the operation data, the shooting image and voice information, judge that current elevator whether there is anomalous event；
When there are anomalous event, partition of the level is carried out to the anomalous event, and is obtained default corresponding with the rank
Abnormality processing strategy.
Preferably, described according to the operation data, judge that current elevator includes with the presence or absence of anomalous event：
Judge whether the operation data deviates the value range of default security parameter, if so, determining that current elevator exists
Anomalous event, wherein the operation data includes at least any one of acceleration, load capacity, voltage.
Preferably, described according to the shooting image, judge that current elevator includes with the presence or absence of anomalous event：
Analyzing processing is carried out to the shooting image, obtains the facial expression and limb action of passenger；
Judge whether the facial expression and/or the limb action are default abnormal expression and/or action, if so,
Determine that there are anomalous events for current elevator, wherein the default abnormal expression includes at least pain or terrified, the default exception
Action, which includes at least, any one of lies down, squats down, pats, grabs.
Preferably, described according to the voice messaging, judge that current elevator includes with the presence or absence of anomalous event：
Judge whether the voice messaging is default distress signals, and there are anomalous events if so, determining current elevator.
Preferably, described when there are anomalous event, partition of the level is carried out to the anomalous event, and obtain default and institute
Stating the corresponding abnormality processing strategy of rank includes：
When there are anomalous event, the deviation value based on the operation data and the default security parameter is to the exception
Event carries out partition of the level；
When there are anomalous event, based on the shooting image, the voice messaging, and default abnormal expression and/or move
Make and/or the matching degree of distress signals carries out partition of the level to the anomalous event；
According to the rank of division, corresponding abnormality processing strategy is obtained.
Preferably, the abnormality processing strategy includes：
Control car is run to nearest outlet port, and opens car door, so that passenger escapes；And/or
Preset audio and video prompt message is played, to pacify passenger and/or inform passenger's emergency measure.
Preferably, the abnormality processing strategy includes：
It is sent a warning to duty personnel by sound-light alarm mode；And/or
It is sent a warning by dialling to duty personnel；And/or
It is engaged in the dialogue with duty personnel by remote audio-video intercommunication.
Preferably, the lift running safety monitoring method further includes：
The operation data of acquisition, the shooting image and voice information are preserved, so that administrative staff call
With analysis data；And/or
The shooting image is uploaded to live streaming platform to be broadcast live online.
In addition, to achieve the above object, the present invention also provides a kind of lift running safety monitoring device, the elevator operation
Safety monitoring equipment includes memory, processor and is stored in the peace that can be run on the memory and on the processor
Full monitoring programme realizes the elevator operation peace as described in any one of above-mentioned when the security monitor program is executed by the processor
The step of full monitoring method.
In addition, to achieve the above object, it is described computer-readable the present invention also provides a kind of computer readable storage medium
It is stored with security monitor program on storage medium, is realized when the security monitor program is executed by processor as any one of above-mentioned
The step of lift running safety monitoring method.
The present invention first by acquiring the operation data of elevator itself, while also acquiring car when occupant ride elevator
Interior shooting image and voice information, then according to the data of acquisition, the current elevator of comprehensive descision whether there is anomalous event, when
There are when anomalous event, partition of the level is carried out to it, to obtain abnormality processing strategy corresponding with rank, to combine electricity
Ladder operation itself and car environment are monitored in real time and are protected to passenger.The present invention can it is more rapid, accurately confirm
With the presence or absence of the abnormal conditions for endangering passenger safety, and then improve the safety and reliability of occupant ride elevator.
Description of the drawings
Fig. 1 is the structural schematic diagram for the lift running safety monitoring device running environment that the embodiment of the present invention is related to；
Fig. 2 is the flow diagram of one embodiment of lift running safety monitoring method of the present invention；
Fig. 3 is the refinement flow diagram of step S20 first embodiments in Fig. 2；
Fig. 4 is the refinement flow diagram of step S20 second embodiments in Fig. 2；
Fig. 5 is the refinement flow diagram of step S20 3rd embodiments in Fig. 2；
Fig. 6 is the refinement flow diagram of mono- embodiments of step S30 in Fig. 2.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific implementation mode
It should be appreciated that described herein, specific examples are only used to explain the present invention, is not intended to limit the present invention.
Referring to Fig.1, Fig. 1 is the structure for the lift running safety monitoring device running environment that the embodiment of the present invention is related to
Schematic diagram.
Lift running safety monitoring device of the embodiment of the present invention is the equipment with monitoring elevator safety operation function.
As shown in Figure 1, the lift running safety monitoring device may include：Processor 1001, such as CPU, communication bus
1002, user interface 1003, network interface 1004, memory 1005.Wherein, communication bus 1002 for realizing these components it
Between connection communication.User interface 1003 may include display screen (Display), input unit such as keyboard (Keyboard),
Network interface 1004 may include optionally standard wireline interface and wireless interface (such as WI-FI interface).Memory 1005 can be with
It is high-speed RAM memory, can also be stable memory (non-volatile memory), such as magnetic disk storage.Storage
Device 1005 optionally can also be the storage device independently of aforementioned processor 1001.
Optionally, lift running safety monitoring device can also include tuning demodulator, return path, RF (Radio
Frequency, radio frequency) circuit, sensor, voicefrequency circuit etc..
It will be understood by those skilled in the art that the hardware configuration of lift running safety monitoring device shown in Fig. 1 is not
The restriction to lift running safety monitoring device is constituted, may include components more more or fewer than diagram, or combine certain
Component or different components arrangement.
As shown in Figure 1, as may include operating system, net in a kind of memory 1005 of computer readable storage medium
Network communication module, Subscriber Interface Module SIM and computer program.Wherein, operating system is management and control lift running safety prison
The program of equipment and software resource is controlled, supports the operation of security monitor program and other softwares and/or program.
In the hardware configuration of lift running safety monitoring device shown in Fig. 1, network interface 1004 is mainly used for accessing
Network；User interface 1003 is mainly used for detecting and confirms Command And Edit instruction etc..And processor 1001 can be used for calling and deposit
The security monitor program stored in reservoir 1005, and execute following operation：
When occupant ride elevator, the operation data of elevator, the shooting image and voice information in lift car are acquired；
According to the operation data, the shooting image and voice information, judge that current elevator whether there is anomalous event；
When there are anomalous event, partition of the level is carried out to the anomalous event, and is obtained default corresponding with the rank
Abnormality processing strategy.
Further, the lift running safety monitoring device is called in memory 1005 by processor 1001 and is stored
Security monitor program, to execute operations described below：
Judge whether the operation data deviates the value range of default security parameter, if so, determining that current elevator exists
Anomalous event, wherein the operation data includes at least any one of acceleration, load capacity, voltage.
Further, the lift running safety monitoring device is called in memory 1005 by processor 1001 and is stored
Security monitor program, to execute operations described below：
Analyzing processing is carried out to the shooting image, obtains the facial expression and limb action of passenger；
Judge whether the facial expression and/or the limb action are default abnormal expression and/or action, if so,
Determine that there are anomalous events for current elevator, wherein the default abnormal expression includes at least pain or terrified, the default exception
Action, which includes at least, any one of lies down, squats down, pats, grabs.
Further, the lift running safety monitoring device is called in memory 1005 by processor 1001 and is stored
Security monitor program, to execute operations described below：
Judge whether the voice messaging is default distress signals, and there are anomalous events if so, determining current elevator.
Further, the lift running safety monitoring device is called in memory 1005 by processor 1001 and is stored
Security monitor program, to execute operations described below：
When there are anomalous event, the deviation value based on the operation data and the default security parameter is to the exception
Event carries out partition of the level；
When there are anomalous event, based on the shooting image, the voice messaging, and default abnormal expression and/or move
Make and/or the matching degree of distress signals carries out partition of the level to the anomalous event；
According to the rank of division, corresponding abnormality processing strategy is obtained.
Further, the lift running safety monitoring device is called in memory 1005 by processor 1001 and is stored
Security monitor program, to execute operations described below：
Control car is run to nearest outlet port, and opens car door, so that passenger escapes；And/or
Preset audio and video prompt message is played, to pacify passenger and/or inform passenger's emergency measure.
Further, the lift running safety monitoring device is called in memory 1005 by processor 1001 and is stored
Security monitor program, to execute operations described below：
It is sent a warning to duty personnel by sound-light alarm mode；And/or
It is sent a warning by dialling to duty personnel；And/or
It is engaged in the dialogue with duty personnel by remote audio-video intercommunication.
Further, the lift running safety monitoring device is called in memory 1005 by processor 1001 and is stored
Security monitor program, to execute operations described below：
The operation data of acquisition, the shooting image and voice information are preserved, so that administrative staff call
With analysis data；And/or
The shooting image is uploaded to live streaming platform to be broadcast live online.
Based on the hardware configuration of above-mentioned lift running safety monitoring device, lift running safety monitoring method of the present invention is proposed
Each embodiment.
It is the flow diagram of one embodiment of lift running safety monitoring method of the present invention with reference to Fig. 2, Fig. 2.
In the present embodiment, lift running safety monitoring method includes：
Step S10 acquires the operation data of elevator, shooting image and language in lift car when occupant ride elevator
Message ceases；
In the present embodiment, elevator is vertical lift, and car is component and the elevator of elevator to carry and transport people
The box-shaped space of member and goods and materials, usual car operation up and down on predetermined trajectory, to transport passenger or cargo up and down.Acquisition electricity
The operation data of ladder, that is, acquisition elevator itself work the data of operating, including the speed of voltage, car operation, car position
Move residing different location, load capacity etc..The operation of usual elevator is equipped with specified value preserving, that is, normal by guarantee sellers
The safety coefficient of movement, as based on normal speed is manufacture elevator and by the car speed of guarantee sellers proper motion, volume
It is fixed position etc. that each floor opens car door that positioning, which is set,.In addition the mode acquired is consistent with traditional acquisition mode, such as
Operation data is acquired by voltmeter, sensor, detector etc., is configured with specific reference to actual conditions.
In the present embodiment, the shooting image and voice information in lift car is acquired, is set for cab interior environment
Fixed, specifically, the mode acquired in addition is consistent with traditional acquisition mode, such as shoots image, recorded video by camera,
Voice messaging etc. is acquired by radio reception device, is configured with specific reference to actual conditions.It should be understood that passenger can be independent
One people or more people or animal etc. enter in car, and designated floor is reached using elevator, and what is acquired at this time is passenger in car
Entire continuous pictures and the voice messaging that is made a sound in car of passenger.
Step S20 judges that current elevator whether there is anomalous event according to operation data, shooting image and voice information；
In the present embodiment, by many-sided gathered data, individually judged per item data, to judge that current elevator is
No there are anomalous events, improve the accuracy for the event that notes abnormalities, leakage is avoided to find and damage passenger safety.According to acquisition
Data, anomalous event can be divided into two kinds, and one is the anomalous event caused by elevator operation exception itself, another kind is that passenger exists
Abnormal caused anomalous event in elevator.Pass through
Step S30 carries out partition of the level when there are anomalous event to anomalous event, and obtains default corresponding with rank
Abnormality processing strategy.
In the present embodiment, anomalous event is divided according to the degree for endangering passenger safety, the rank of division be it is multiple, can basis
Actual needs is configured, such as 3 ranks or 5 ranks.Partition of the level is carried out to anomalous event herein, is by current elevator
Existing anomalous event is referred in preset rank, and then obtains the corresponding abnormality processing strategy of the rank, to further
The strategy is executed, passenger safety is protected.Such as when passenger falls in a swoon or incident of violence occurs, seriously endangers and arrive passenger safety, because
This is divided to the urgent accident of highest level-, and obtains the abnormality processing strategy of urgent accident.
The present embodiment first by acquiring the operation data of elevator itself, while also acquiring sedan-chair when occupant ride elevator
Shooting image and voice information in compartment, then according to the data of acquisition, the current elevator of comprehensive descision whether there is anomalous event,
When there are anomalous event, partition of the level is carried out to it, to obtain abnormality processing strategy corresponding with rank, to combine
Elevator itself is run and car environment is monitored in real time and protected to passenger.The present invention can be more rapid, precisely really
Recognize with the presence or absence of the abnormal conditions for endangering passenger safety, and then improves the safety and reliability of occupant ride elevator.
It is the refinement flow diagram of step S20 first embodiments in Fig. 2 with reference to Fig. 3, Fig. 3.
Based on above-described embodiment, in the present embodiment, step S20 sentences according to operation data, shooting image and voice information
The current elevator that breaks whether there is anomalous event, including：
Step S211, judges whether operation data deviates the value range of default security parameter, wherein operation data is at least wrapped
Include any one of acceleration, load capacity, voltage；
Step S212, if so, determining current elevator, there are anomalous events.
In the present embodiment, default security parameter is elevator in manufacture, the safety coefficient pre-set, to ensure electricity
Ladder normal operation under the safety coefficient of setting, but in practical applications, according to the environment difference of elevator installation and use shape
The difference of state so that the operation data of practical measurement is different from preset security parameter, thus the seller can be each security parameter
A feasible value range is set, as long as actually detected operation data is no more than the value range of corresponding default security parameter, i.e.,
It can be shown that elevator operation belongs to normal, otherwise when operation data is more than namely to deviate from the value range of default security parameter,
Elevator operation exception.Specifically, the acceleration of car when moving is detected by acceleration transducer, is detected and is supplied by voltmeter
Piezoelectric voltage detects the car weight etc. including passenger by load sensor.
In the present embodiment, judge whether operation data deviates the value range of default security parameter, specifically, current acceleration
Whether it is greater than or equal to predetermined threshold value or current voltage whether deviates predetermined threshold value or whether present load amount is greater than or equal to
Predetermined threshold value etc., if so, determining current elevator, there are anomalous events.
It is the refinement flow diagram of step S20 second embodiments in Fig. 2 with reference to Fig. 4, Fig. 4.
Based on above-described embodiment, in the present embodiment, step S20 sentences according to operation data, shooting image and voice information
The current elevator that breaks whether there is anomalous event, including：
Step S221 carries out analyzing processing to shooting image, obtains the facial expression and limb action of passenger；
Step S222 judges whether facial expression and/or limb action are default abnormal expression and/or action, wherein pre-
If exception expression includes at least pain or terrified, default abnormal operation is including at least any in lying down, squat down, patting, grabbing
Kind；
Step S223, if so, determining current elevator, there are anomalous events.
In the present embodiment, shooting figure seems continuous multiple frames picture, and analyzing processing is carried out to shooting image, herein can be with tradition
Image recognition technology it is consistent, for example recognition of face, human body scratch figure, extraction face five official rank, obtain the facial expression of passenger with
And limb action, such as obtain passenger cry shed tears, close one's eyes, magnifying, expression of smiling, and obtain passenger stand, lean to,
The actions such as help volume, squat down.
In the present embodiment, abnormal expression and/or limb action are pre-set, default exception expression can be pain or frightened
Probably etc., default abnormal operation can be lied down, squat down, patting, grabbing, and be configured with specific reference to actual conditions.It will acquisition
The facial expression and limb action for analyzing obtained passenger are compared with preset abnormal expression and/or abnormal operation, you can
Determine that current elevator whether there is anomalous event.For example, an old man is taked in current lift car, it is dizzy suddenly in operation
, it by acquiring the shooting image in car in real time, obtains old man and lies down in car ground, and then determine that there is currently abnormal things
Part.
It is the refinement flow diagram of step S20 3rd embodiments in Fig. 2 with reference to Fig. 5, Fig. 5.
Based on above-described embodiment, in the present embodiment, step S20 sentences according to operation data, shooting image and voice information
The current elevator that breaks whether there is anomalous event, including：
Step S231 judges whether voice messaging is default distress signals；
Step S232, if so, determining current elevator, there are anomalous events.
In the present embodiment, the sound that passenger sends out in car, such as laugh and quarrel and fight noisily, talk, cough, it can be collected simultaneously
It is converted into voice messaging, and then is judged according to voice meaning, it herein can be consistent with traditional speech recognition technology.It is default to ask
It rescues information to pre-set, for example I etc. is let off in help, prithee, is configured according to actual conditions, it should be understood that
Be avoid by everyday words such as " should not ", " letting go ", " help " be set as distress signals, cause to judge by accident and stop elevator and normally transport
Row.Further, the voice messaging of acquisition is extracted, obtains useful word or words and phrases, delete meaningless sound piece
Section, and then the word of extraction or words and phrases are compared with default distress signals, you can determine that current elevator whether there is abnormal thing
Part.
It is the refinement flow diagram of mono- embodiments of step S30 in Fig. 2 with reference to Fig. 6, Fig. 6.
Based on above-described embodiment, in the present embodiment, step S30 carries out rank when there are anomalous event to anomalous event
It divides, and obtains and preset abnormality processing strategy corresponding with rank, including：
Step S31, when there are anomalous event, the deviation value based on operation data and default security parameter is to anomalous event
Carry out partition of the level；
Step S32, when there are anomalous event, based on shooting image, voice messaging, with default abnormal expression and/or dynamic
Make and/or the matching degree of distress signals carries out partition of the level to anomalous event；
Step S33 obtains corresponding abnormality processing strategy according to the rank of division.
In the present embodiment, anomalous event according to endanger passenger safety degree divide, specifically, when elevator itself run it is different
The deviation value of Chang Shi, operation data and default security parameter carries out partition of the level, and deviation value is 0.5 1 ranks, namely is deviateed
It is level-one that value, which is less than 0.5, and it is two level that deviation value, which is more than 0.5 and is less than 1, and so on.It should be understood that different operation datas pair
Security parameter, the value range answered are different, and the corresponding rank of deviation value size calculated also differs.Such as the deviation value of acceleration
One rank of every 0.5 unit, and the deviation value of load capacity one rank of every 5 unit.
In the present embodiment, exception expression and/or action and/or distress signals are preset, are pre-set, but in reality
In, different passengers have a different differences, thus with the abnormal expression of default storage and/or action and/or distress signals it
Between also have different differences, to both comparison matching degree anomalous event is divided.Such as when detecting that passenger lies down
On ground, reach 100% with deliberate action matching degree, then proves that passenger has fallen in a swoon on ground this moment, corresponding level is advanced, that is, is dashed forward
Emergency is sent out, should be rescued at once.Such as when detecting that passenger pats another passenger, it is with default beating action matching degree
50%, then corresponding level is general, only need to play corresponding voice prompt, control beating behavior, nothing to alert passenger
It need to stop car operation or line duty personnel.Such as when the voice messaging for detecting that passenger sends out is help, matching degree
100%, it was demonstrated that passenger is badly in need of being rescued now, and rank should be divided into advanced.
It should be understood that sequencing is not present in step S31 and step S32, according to the testing number for determining anomalous event
According to the independent division of progress.
In the present embodiment, each data for the anomalous event that correspondence is complicated and changeable, acquisition individually analyze and determine, contribute to
Improve monitoring dynamics and protection, while the rank divided has identical or different, further, integrates all corresponding levels,
Obtain the anomalous event processing strategy under the rank.
Further, in an alternative embodiment of the invention, abnormality processing strategy includes：1. playing preset audio and video prompt
Information, to pacify passenger and/or inform passenger's emergency measure；2. sending out alarm signal to duty personnel by sound-light alarm mode
Breath；3 are sent a warning by dialling to duty personnel；4. being engaged in the dialogue with passenger by remote audio-video intercommunication；5. control
Car is run to nearest outlet port, and opens car door, so that passenger escapes；Different stage corresponds to different disposal plan
Slightly, simultaneously because anomalous event complicated and changeable, can be obtained the corresponding different stage of multiple and different gathered datas, and then execute more
Processing strategy under a rank.Such as in following situations：
A. when the value range of acceleration offset normal speed and big departure degree, and passenger is calm in car, then corresponds to
Operation exception rank, implementation strategy 1 controls car and runs to nearest outlet port, and opens car door, so that passenger escapes
Raw strategy.
B. corresponding when the value range and departure degree of acceleration offset normal speed are big, while in car when passenger's fear
Operation exception rank and abnormal expression rank, implementation strategy 1, and implementation strategy 2 plays preset information of voice prompt, to
Pacify passenger and/or inform passenger's emergency measure strategy or implementation strategy 5 by remote audio-video intercommunication and duty personnel into
Row dialogue.
C. when the value range and departure degree of acceleration offset normal speed are big, while the fear that passenger has in car has
It falls in a swoon, corresponding operation/expression/remarkable action rank, implementation strategy 1 and 2 is performed simultaneously strategy 4. by dialling to duty personnel
It sends a warning, is configured with specific reference to actual conditions.Further, different stage corresponds to Different Strategies, and different
Abnormal such as operation, expression act corresponding different stage, can establish linked list to correspond.
Certainly, it should be noted that the execution sequencing of different abnormality processing strategies does not limit.Audio and video can be
Audio can also be video, further, plays preset audio and video prompt message, can also segment corresponding different stage, in turn
It is independent to play voice prompt or individually play visual prompts or played out in conjunction with the two.
Further, in an alternative embodiment of the invention, lift running safety monitoring method further includes：In the fortune that will be acquired
Row data, shooting image and voice information are preserved, so that administrative staff call and analyze data.The data of acquisition are protected
It deposits, administrative staff, which can call, when necessary checks or analyze, to improve abnormality processing strategy.Or work as anomalous event
Afterwards, call data to/analysis of solving a case of assisting to handle a case.
Further, in an alternative embodiment of the invention, lift running safety monitoring method further includes：It will shoot on image
It reaches live streaming platform to be broadcast live online, that is, elevator has direct broadcast function so that non-management employee can be flat by being broadcast live
Situation in platform real time inspection lift car can dial hot line electricity when watching that the user of live streaming has found car memory when abnormal
Words inform that administrative staff are handled etc., and then improve the safety of car operation.
Further alternative, to achieve the above object, the present invention also provides a kind of computer readable storage mediums, in this reality
Apply and be stored with security monitor program on the computer readable storage medium proposed in example, including gathered data, judge anomalous event,
Divide rank and obtain abnormality processing strategy etc..The security monitor program of storage can be read out by the processor, understand and execute, from
And the step of realizing lift running safety monitoring method in any of the above-described embodiment.
It should be noted that herein, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that process, method, article or device including a series of elements include not only those elements, and
And further include other elements that are not explicitly listed, or further include for this process, method, article or device institute it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including this
There is also other identical elements in the process of element, method, article or device.
The embodiments of the present invention are for illustration only, can not represent the quality of embodiment.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can add the mode of required general hardware platform to realize by software, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical scheme of the present invention substantially in other words does the prior art
Going out the part of contribution can be expressed in the form of software products, which is stored in a readable storage medium
In matter (such as ROM/RAM, magnetic disc, CD), including some instructions are used so that a station terminal (can be mobile phone, computer, service
Device, air conditioner or network equipment etc.) method that executes each embodiment of the present invention.
The embodiment of the present invention is described with above attached drawing, but the invention is not limited in above-mentioned specific
Embodiment, the above mentioned embodiment is only schematical, rather than restrictive, those skilled in the art
Under the inspiration of the present invention, without breaking away from the scope protected by the purposes and claims of the present invention, it can also make very much
Form, it is every using equivalent structure or equivalent flow shift made by description of the invention and accompanying drawing content, directly or indirectly
Other related technical areas are used in, all of these belong to the protection of the present invention.
It these are only the preferred embodiment of the present invention, be not intended to limit the scope of the invention, it is every to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of lift running safety monitoring method, which is characterized in that the lift running safety monitoring method includes following step
Suddenly：
When occupant ride elevator, the operation data of elevator, the shooting image and voice information in lift car are acquired；
According to the operation data, the shooting image and voice information, judge that current elevator whether there is anomalous event；
When there are anomalous event, partition of the level is carried out to the anomalous event, and is obtained default corresponding with the rank different
Often processing strategy.
2. lift running safety monitoring method as described in claim 1, which is characterized in that it is described according to the operation data,
Judge that current elevator includes with the presence or absence of anomalous event：
Judge whether the operation data deviates the value range of default security parameter, if so, it is abnormal to determine that current elevator exists
Event, wherein the operation data includes at least any one of acceleration, load capacity, voltage.
3. lift running safety monitoring method as described in claim 1, which is characterized in that it is described according to the shooting image,
Judge that current elevator includes with the presence or absence of anomalous event：
Analyzing processing is carried out to the shooting image, obtains the facial expression and limb action of passenger；
Judge whether the facial expression and/or the limb action are default abnormal expression and/or action, if so, determining
There are anomalous events for current elevator, wherein the default abnormal expression includes at least pain or terrified, the default abnormal operation
Including at least any one of lying down, squat down, pat, grab.
4. lift running safety monitoring method as described in claim 1, which is characterized in that it is described according to the voice messaging,
Judge that current elevator includes with the presence or absence of anomalous event：
Judge whether the voice messaging is default distress signals, and there are anomalous events if so, determining current elevator.
5. the lift running safety monitoring method as described in any one of claim 2-4, which is characterized in that described when there are different
When ordinary affair part, partition of the level is carried out to the anomalous event, and obtain and preset abnormality processing strategy packet corresponding with the rank
It includes：
When there are anomalous event, the deviation value based on the operation data and the default security parameter is to the anomalous event
Carry out partition of the level；
When there are anomalous event, based on the shooting image, the voice messaging, with default abnormal expression and/or act and/
Or the matching degree of distress signals carries out partition of the level to the anomalous event；
According to the rank of division, corresponding abnormality processing strategy is obtained.
6. lift running safety monitoring method as described in claim 1, which is characterized in that the abnormality processing strategy includes：
Control car is run to nearest outlet port, and opens car door, so that passenger escapes；And/or
Preset audio and video prompt message is played, to pacify passenger and/or inform passenger's emergency measure.
7. lift running safety monitoring method as described in claim 1 or 6, which is characterized in that the abnormality processing strategy packet
It includes：
It is sent a warning to duty personnel by sound-light alarm mode；And/or
It is sent a warning by dialling to duty personnel；And/or
It is engaged in the dialogue with duty personnel by remote audio-video intercommunication.
8. lift running safety monitoring method as described in claim 1, which is characterized in that work as occupant ride elevator described
When, after acquiring the operation data of elevator, the shooting image and voice information in lift car, the lift running safety monitoring
Method further includes：
The operation data of acquisition, the shooting image and voice information are preserved, so that administrative staff call and divide
Analyse data；And/or
The shooting image is uploaded to live streaming platform to be broadcast live online.
9. a kind of lift running safety monitoring device, which is characterized in that the lift running safety monitoring device include memory,
Processor and it is stored in the security monitor program that can be run on the memory and on the processor, the security monitoring
The step of the lift running safety monitoring method as described in any one of claim 1-8 is realized when program is executed by the processor
Suddenly.
10. a kind of computer readable storage medium, which is characterized in that be stored with safe prison on the computer readable storage medium
Program is controlled, the elevator operation peace as described in any one of claim 1-8 is realized when the security monitor program is executed by processor
The step of full monitoring method.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109002816A (en) * | 2018-08-30 | 2018-12-14 | 朱如兴 | Film violence rank discrimination method |
| CN109639998A (en) * | 2018-08-15 | 2019-04-16 | 吴伟锋 | Data frame automatically grabs method |
| CN109784175A (en) * | 2018-12-14 | 2019-05-21 | 深圳壹账通智能科技有限公司 | Abnormal behaviour people recognition methods, equipment and storage medium based on micro- Expression Recognition |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102241349A (en) * | 2010-05-12 | 2011-11-16 | 东芝电梯株式会社 | Reporting system of anomalies inside elevator car |
| CN104030119A (en) * | 2013-03-06 | 2014-09-10 | 株式会社日立制作所 | Double-decker elevator |
| CN105347127A (en) * | 2014-08-19 | 2016-02-24 | 三菱电机上海机电电梯有限公司 | Monitoring system and monitoring method for abnormal condition in elevator car |
| CN206743453U (en) * | 2017-05-26 | 2017-12-12 | 重庆和贯科技有限公司 | Lift running safety monitoring system based on Internet of Things |
| CN107487701A (en) * | 2017-09-20 | 2017-12-19 | 日立电梯（广州）自动扶梯有限公司 | Escalator or pavement safety detection device, method, system and storage medium |
-
2018
- 2018-03-16 CN CN201810217337.6A patent/CN108382940B/en not_active Expired - Fee Related
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102241349A (en) * | 2010-05-12 | 2011-11-16 | 东芝电梯株式会社 | Reporting system of anomalies inside elevator car |
| CN102241349B (en) * | 2010-05-12 | 2014-04-02 | 东芝电梯株式会社 | Reporting system of anomalies inside elevator car |
| CN104030119A (en) * | 2013-03-06 | 2014-09-10 | 株式会社日立制作所 | Double-decker elevator |
| CN105347127A (en) * | 2014-08-19 | 2016-02-24 | 三菱电机上海机电电梯有限公司 | Monitoring system and monitoring method for abnormal condition in elevator car |
| CN206743453U (en) * | 2017-05-26 | 2017-12-12 | 重庆和贯科技有限公司 | Lift running safety monitoring system based on Internet of Things |
| CN107487701A (en) * | 2017-09-20 | 2017-12-19 | 日立电梯（广州）自动扶梯有限公司 | Escalator or pavement safety detection device, method, system and storage medium |
Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109639998A (en) * | 2018-08-15 | 2019-04-16 | 吴伟锋 | Data frame automatically grabs method |
| CN109002816A (en) * | 2018-08-30 | 2018-12-14 | 朱如兴 | Film violence rank discrimination method |
| CN109784175A (en) * | 2018-12-14 | 2019-05-21 | 深圳壹账通智能科技有限公司 | Abnormal behaviour people recognition methods, equipment and storage medium based on micro- Expression Recognition |
| CN112660953B (en) * | 2019-10-16 | 2022-08-05 | 杭州海康威视系统技术有限公司 | Detection method, equipment and system for abnormal behavior of elevator taking |
| CN112660953A (en) * | 2019-10-16 | 2021-04-16 | 杭州海康威视系统技术有限公司 | Detection method, equipment and system for abnormal behavior of elevator taking |
| CN111232777A (en) * | 2020-02-14 | 2020-06-05 | 西安奥卡云数据科技有限公司 | Intelligent elevator monitoring system and method based on 5G |
| CN112390102A (en) * | 2020-11-02 | 2021-02-23 | 上海三菱电梯有限公司 | Elevator monitoring system and elevator monitoring method |
| CN112201022A (en) * | 2020-11-27 | 2021-01-08 | 国为(南京)软件科技有限公司 | Quick response maintenance management system of elevator |
| CN115367578A (en) * | 2021-05-19 | 2022-11-22 | 成都鼎桥通信技术有限公司 | Elevator operation monitoring method, device, equipment, storage medium and program |
| CN113401774A (en) * | 2021-05-26 | 2021-09-17 | 杭州法维莱科技有限公司 | 90 degrees vertical hinged door systems of elevator with prevent pressing from both sides function |
| CN113345210A (en) * | 2021-06-03 | 2021-09-03 | 昆山杜克大学 | Method and device for intelligently judging distress call based on audio and video |
| CN113247730B (en) * | 2021-06-10 | 2022-11-08 | 浙江新再灵科技股份有限公司 | Elevator passenger screaming detection method and system based on multi-dimensional features |
| CN113247730A (en) * | 2021-06-10 | 2021-08-13 | 浙江新再灵科技股份有限公司 | Elevator passenger screaming detection method and system based on multi-dimensional features |
| CN113581957A (en) * | 2021-07-22 | 2021-11-02 | 北京兴华和晟科技有限公司 | Elevator operation management method and device and electronic equipment |
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| CN114153917A (en) * | 2021-11-08 | 2022-03-08 | 盟拓软件(苏州)有限公司 | Elevator monitoring system and method based on block chain and computer equipment |
| CN116177337A (en) * | 2022-12-07 | 2023-05-30 | 河南省特种设备安全检测研究院 | Multi-point distributed elevator monitoring system and method for abnormal passenger behaviors |
| CN116177337B (en) * | 2022-12-07 | 2023-12-29 | 河南省特种设备安全检测研究院 | Multi-point distributed elevator monitoring system and method for abnormal passenger behaviors |
| CN117550448A (en) * | 2023-10-24 | 2024-02-13 | 深圳市瀚强科技股份有限公司 | Intelligent processing method and related device for elevator information |
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