CN113526288A - Elevator operation parameter supervisory systems based on thing networking big data - Google Patents
Elevator operation parameter supervisory systems based on thing networking big data Download PDFInfo
- Publication number
- CN113526288A CN113526288A CN202110917710.0A CN202110917710A CN113526288A CN 113526288 A CN113526288 A CN 113526288A CN 202110917710 A CN202110917710 A CN 202110917710A CN 113526288 A CN113526288 A CN 113526288A
- Authority
- CN
- China
- Prior art keywords
- elevator
- car
- data
- state
- sensor
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000006855 networking Effects 0.000 title claims description 4
- 238000012544 monitoring process Methods 0.000 claims abstract description 99
- 238000004458 analytical method Methods 0.000 claims abstract description 18
- 238000012545 processing Methods 0.000 claims abstract description 14
- 238000000034 method Methods 0.000 claims abstract description 12
- 238000004891 communication Methods 0.000 claims abstract description 8
- 238000004364 calculation method Methods 0.000 claims abstract description 7
- 238000012423 maintenance Methods 0.000 claims description 35
- 230000001133 acceleration Effects 0.000 claims description 34
- 238000001514 detection method Methods 0.000 claims description 28
- 230000005540 biological transmission Effects 0.000 claims description 10
- 230000008859 change Effects 0.000 claims description 9
- 230000006698 induction Effects 0.000 claims description 9
- 230000008569 process Effects 0.000 claims description 9
- 238000007689 inspection Methods 0.000 claims description 6
- 238000004140 cleaning Methods 0.000 claims description 3
- 230000007613 environmental effect Effects 0.000 claims 1
- 235000014676 Phragmites communis Nutrition 0.000 description 13
- 238000010586 diagram Methods 0.000 description 4
- 230000002159 abnormal effect Effects 0.000 description 3
- 238000004171 remote diagnosis Methods 0.000 description 3
- 238000003745 diagnosis Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 235000001674 Agaricus brunnescens Nutrition 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000002955 isolation Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
Images
Classifications
-
- 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
- B66B5/0031—Devices monitoring the operating condition of the elevator system for safety reasons
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0006—Monitoring devices or performance analysers
- B66B5/0012—Devices monitoring the users of the elevator system
-
- 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
- B66B5/0025—Devices monitoring the operating condition of the elevator system for maintenance or repair
-
- 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
Landscapes
- Indicating And Signalling Devices For Elevators (AREA)
- Maintenance And Inspection Apparatuses For Elevators (AREA)
- Elevator Control (AREA)
Abstract
The invention relates to an elevator operation parameter supervision system based on Internet of things big data, which is characterized by comprising the following components: the system comprises a monitoring terminal system, an information display system and a cloud platform system; the monitoring terminal system is used for carrying out data processing on monitoring data after monitoring the operation parameters of each elevator in real time and sending the processing result to the cloud platform system and the information display system in a wireless communication mode; the cloud platform system is used for storing, calculating and analyzing all received monitoring data and sending a calculation analysis result to the information display system through the monitoring terminal system; the information display system is used for displaying all the received data. The method can be widely applied to the technical field of big data of the Internet of things.
Description
Technical Field
The invention relates to the technical field of big data of the Internet of things, in particular to an elevator operation parameter supervision system based on the big data of the Internet of things.
Background
In recent years, the number of elevators is increased dramatically, elevator accidents happen occasionally, and the safety of the elevators is very important. A plurality of provinces in China continuously leave relevant policies, so that the application of the Internet of things of the elevator is encouraged to be promoted, and the 'heavy process' of elevator maintenance work is changed into 'heavy effect'.
At present, products related to an elevator Internet of things system are numerous, in the prior art, collection projects and monitoring points are limited, the platform application effect is not good, and the elevator Internet of things can not be used as a practical tool for elevator safety. The concrete expression is as follows:
1. and the data acquisition items are insufficient, and only partial parameters of the elevator are acquired.
2. The data analysis form is limited, and the monitoring and analysis of the whole elevator operation process cannot be realized.
3. The display content of the car advertisement screen is insufficient, and the running condition of the elevator cannot be visually presented.
4. The remote diagnosis function is limited, and the elevator cannot be remotely diagnosed in a scientific and reasonable mode.
Disclosure of Invention
In view of the above problems, the invention aims to provide an elevator operation parameter supervision system based on internet of things big data, which is suitable for a traction type elevator, can acquire elevator operation parameters in all directions, performs waveform comparison and video display of original data according to the stored elevator operation parameters and car videos, and enables elevator maintenance personnel, inspection personnel and accident investigators to restore the historical operation condition of the elevator so as to realize remote diagnosis and accident analysis.
In order to achieve the purpose, the invention adopts the following technical scheme: an elevator operation parameter supervisory systems based on thing networking big data, it includes: the system comprises a monitoring terminal system, an information display system and a cloud platform system; the monitoring terminal system is used for carrying out data processing on monitoring data after monitoring the operation parameters of each elevator in real time and sending the processing result to the cloud platform system and the information display system; the cloud platform system is used for storing, calculating and analyzing all received monitoring data and sending a calculation analysis result to the information display system; the information display system is used for displaying all the received data.
Preferably, the monitoring terminal system comprises a main monitoring terminal, a car auxiliary monitoring terminal, a pit auxiliary monitoring terminal, a data detection module, a communication module, a data transmission module, a core processor and a power supply module; the main monitoring terminal is arranged in the area of the control cabinet of the elevator traction machine and is used for acquiring real-time operation state data of the area of the control cabinet of the elevator traction machine; the car auxiliary monitoring terminal is arranged at the top of the elevator car and used for acquiring real-time running state data of the elevator car area; the pit auxiliary monitoring terminal is arranged at the elevator pit and used for acquiring the real-time running state data of the elevator pit area; the data detection module is used for acquiring state values of the main monitoring terminal, the car auxiliary monitoring terminal and the pit auxiliary monitoring terminal and transmitting the state values to the core processor through the data transmission module; the core processor is used for carrying out data cleaning, data processing and data calculation on the received data and sending the processed data to the cloud platform system and the information display system through the communication module; the power supply module supplies power to other modules.
Preferably, the real-time running state data of the elevator traction machine control cabinet area collected by the main monitoring terminal comprises: the system comprises a main power supply current, a safety loop parameter, a door lock loop parameter, a band-type brake contactor state, a main contactor state, a control cabinet temperature and humidity, a traction machine temperature and humidity, an elevator running load weight and a machine room emergency stop switch state.
Preferably, the real-time running state data of the elevator car region acquired by the car auxiliary monitoring terminal comprises acceleration, the number of layers, environment temperature and humidity, a car door opening in-place state, a car door closing in-place state, a flat bed state, a base station position, human body detection, video monitoring, a car roof emergency stop switch state and a safety gear switch state in the X-Y-Z axis direction of the running of the elevator car.
Preferably, the car auxiliary monitoring terminal comprises an acceleration sensor, a leveling sensor, a door opening in-place sensor, a door closing in-place sensor, a base station sensor, a human body presence sensor, a car top emergency stop switch sensor, a safety gear switch sensor, a temperature and humidity sensor and a video acquisition module;
the acceleration sensor is used for acquiring an X-Y-Z axis acceleration value of the elevator in the running process of the elevator, performing primary processing on the acquired data to obtain a car running speed value, a height value and a running direction value, then sending the values to the core processor through the data transmission module, and meanwhile resetting the height value according to a reset instruction sent by the core processor;
the leveling sensor, the door opening in-place sensor, the door closing in-place sensor, the base station sensor, the human body existence sensor, the car roof emergency stop switch sensor, the safety gear switch sensor and the temperature and humidity sensor are respectively used for detecting a leveling state, a car door opening in-place state, a car door closing in-place state, a base station position, human body detection, a car roof emergency stop switch state, a safety gear switch state and temperature and humidity when the elevator runs, and sending detected state values to the core processor through the data detection module;
the video acquisition module is used for acquiring videos in the car and sending acquired video monitoring data to the core processor.
Preferably, the acceleration sensor is placed at the position of the car roof, and the X-Y-Z axis direction of the acceleration sensor is consistent with the directions of three orthogonal coordinate axes of the car.
Preferably, the operation real-time state data of the elevator pit area collected by the pit auxiliary monitoring terminal comprises an elevator speed limiter tensioning wheel switching state, a car hydraulic buffer switching state, a counterweight hydraulic buffer switching state, a speed limiter tensioning wheel limit position, a counterweight buffer limit position and a pit emergency stop switching state.
Preferably, the cloud platform system is provided with an operating state monitoring module, a fault early warning module and a maintenance module; the running state monitoring module is used for comparing each real-time state parameter with the elevator car video according to a common time axis and generating an analysis interface according to the elevator running real-time state parameters and the elevator car videos collected by the monitoring terminal system; the fault early warning module is used for comparing each data waveform in the analysis interface obtained by the running state monitoring module in a transverse or longitudinal direction and carrying out fault assessment and fault early warning according to the comparison result; and the maintenance module is used for supervising the content of elevator maintenance work.
Preferably, the analysis interface provided by the running state detection module comprises a car video, a time axis, an analog quantity waveform, a digital quantity waveform and a comparison scale; the analog quantity waveform is used for representing parameters which change continuously along with the change of time state, and the parameters comprise the number of floors, the running speed, the X-axis acceleration of a lift car, the Y-axis acceleration of the lift car, the Z-axis acceleration of the lift car, a door lock loop, a safety loop, a main power supply, the position of an elevator, the temperature and humidity of a control cabinet, the temperature and humidity of a traction machine and the temperature and humidity of a car top environment; the digital quantity waveform is used for representing parameters of on and off of a state changing along with time, and comprises car human body induction, a traveling direction, a band-type brake contactor, a main contactor, a leveling layer, a base station, door opening in place, door closing in place, machine room emergency stop, car roof emergency stop, machine room human body induction, pit human body induction, a safety tongs switch, an elevator speed limiter tensioning wheel switch state, a car hydraulic buffer switch state, a counterweight hydraulic buffer switch state, a speed limiter tensioning wheel limit position and a counterweight buffer limit position; the comparison scale is used for selecting a certain comparison time on the time axis to compare the parameters.
Preferably, the cloud platform system is further provided with a personal application platform interface, an enterprise application platform interface and a safety supervision platform interface; the personal application platform interface is used for acquiring elevator related safety information from the cloud platform system and enabling elevator passengers to scan codes through mobile phone terminals for application; the enterprise application platform interface is used for acquiring elevator operation parameters and statistical data from the cloud platform system, and code scanning is performed by an elevator using unit, a maintenance unit and an insurance unit through a mobile phone terminal or a computer to log in an application; the safety supervision platform interface is used for acquiring elevator operation parameters and statistical data in the jurisdiction region from the cloud platform system, and an elevator inspection detection unit, a safety supervision unit and an elevator related management unit log in the application through a computer.
Due to the adoption of the technical scheme, the invention has the following advantages:
1. the elevator monitoring system is provided with the monitoring terminal system, so that the real-time operation data of the elevator can be monitored, the omnibearing acquisition of the operation parameters of the elevator is realized, and the monitoring result is more comprehensive.
2. According to the invention, the cloud platform system is provided with the running state monitoring module, the fault early warning module and the maintenance module, so that the waveform comparison and the video display of original data can be carried out according to the stored real-time elevator running parameters, and elevator maintenance personnel, inspection personnel and accident investigators can restore the historical running condition of the elevator, thereby realizing remote diagnosis and accident analysis.
Therefore, the elevator operation data monitoring method can be widely applied to the field of elevator operation data monitoring.
Drawings
Fig. 1 is a schematic diagram of a connection between a main monitoring terminal and a core processor according to an embodiment of the present invention;
fig. 2 is a schematic diagram of the connection between the car auxiliary monitoring terminal and the core processor provided by the embodiment of the invention;
FIG. 3 is a schematic diagram of a connection between a pit auxiliary monitoring terminal and a core processor according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of an analysis interface of a display screen in an embodiment of the invention.
Detailed Description
The invention is described in detail below with reference to the figures and examples.
The invention provides an elevator operation parameter supervision system based on Internet of things big data, which comprises: the system comprises a monitoring terminal system, an information display system and a cloud platform system. The monitoring terminal system is used for carrying out data processing on monitoring data after monitoring the operation parameters of each elevator in real time, and sending the processing result to the cloud platform system and the information display system in a wireless communication mode; the cloud platform system is used for storing, calculating and analyzing all received monitoring data and sending a calculation analysis result to the information display system; the information display system is used for displaying all the received data.
Furthermore, the monitoring terminal system comprises a main monitoring terminal, a car auxiliary monitoring terminal, a pit auxiliary monitoring terminal, a data detection module, a communication module, a data transmission module, a core processor and a power supply module. The main monitoring terminal is arranged in the area of the control cabinet of the elevator traction machine and used for acquiring real-time running state data of the area of the control cabinet of the elevator traction machine; the car auxiliary monitoring terminal is arranged at the top of the elevator car and used for acquiring real-time running state data of the elevator car area; the pit auxiliary monitoring terminal is arranged at the pit of the elevator and used for acquiring the real-time running state data of the pit area of the elevator; the data detection module is used for acquiring state values of the main monitoring terminal, the car auxiliary monitoring terminal and the pit auxiliary monitoring terminal and transmitting the state values to the core processor through the data transmission module; the core processor is used as a main controller and is used for carrying out data cleaning, data processing and data calculation on the received data to obtain standard data and sending the standard data to the cloud platform system and the information display system through the communication module; the power supply module supplies power to other modules.
Further, as shown in fig. 1, the real-time operation state data of the elevator traction machine control cabinet area collected by the main monitoring terminal mainly includes a main power supply current, a safety loop parameter, a door lock loop parameter, a band-type brake contactor state, a main contactor state, a control cabinet temperature and humidity, a traction machine temperature and humidity, an elevator operation load weight, a machine room emergency stop switch state, and the like.
And furthermore, the real-time running state data of the elevator car region acquired by the car auxiliary monitoring terminal mainly comprises acceleration, the number of layers, environment temperature and humidity in the X-Y-Z axis direction of the running of the elevator car, a car door opening in-place state, a car door closing in-place state, a flat bed state, a base station position, human body detection, video monitoring, a car roof emergency stop switch state, a safety gear switch state and the like.
Further, as shown in fig. 2, the car auxiliary monitoring terminal includes an acceleration sensor, a leveling sensor, a door opening in-place sensor, a door closing in-place sensor, a base station sensor, a human body presence sensor, a car roof emergency stop switch sensor, a safety gear switch sensor, a temperature and humidity sensor, and a video acquisition module. The system comprises an acceleration sensor, a data transmission module, a core processor and a reset instruction, wherein the acceleration sensor is used for acquiring an X-Y-Z axis acceleration value of an elevator in the running process of the elevator, preliminarily processing the acquired data to obtain a car running speed value, a height value and a running direction value, then transmitting the car running speed value, the height value and the running direction value to the core processor through the data transmission module, and resetting the height value according to the reset instruction transmitted by the core processor; the elevator safety protection system comprises a leveling sensor, a door opening in-place sensor, a door closing in-place sensor, a base station sensor, a human body existence sensor, a car top emergency stop switch sensor, a safety gear switch sensor and a temperature and humidity sensor, wherein the leveling sensor, the door opening in-place sensor, the door closing in-place sensor, the car door opening in-place state, the car door closing in-place state, the base station position, human body detection, the car top emergency stop switch state, the safety gear switch state and the temperature and humidity sensor are respectively used for detecting a leveling state (used for calculating the number of layers by a core processor) when an elevator runs, and sending detected state values to the core processor through a data detection module; the video acquisition module is used for acquiring videos in the car and sending acquired video monitoring data to the core processor.
Furthermore, the acceleration sensor is placed at the car top, and the X-Y-Z axis direction of the acceleration sensor is consistent with the three orthogonal coordinate axis directions of the car when the acceleration sensor is placed, namely the X axis is vertical to the car door opening direction, the Y axis is parallel to the car door opening direction, and the Z axis is vertical to the car top plane.
Furthermore, the flat sensor adopts a photoelectric correlation type, and is arranged on a vertical line together with the original flat sensor of the elevator, and the flat sensor and the original flat sensor share a flat magnetic isolation plate. Three ports of +12V, GND and Vout of the leveling sensor are connected with the data detection module, when the elevator runs to the leveling position, the leveling sensor acquires a leveling signal, the Vout port of the leveling sensor outputs a +12V signal to the data detection module, when the elevator runs to the non-leveling position, the leveling sensor does not have a leveling signal, and the Vout port outputs a 0V signal to the data detection module.
Further, a reed switch acquisition mode is adopted by the door opening in-place sensor and the door closing in-place sensor, a permanent magnet is arranged at the position of a door leaf mechanism of the elevator car door and moves along with the opening and closing of the car door, when the car door is completely opened, the door opening in-place sensor is arranged at the position of a fixed door head corresponding to the permanent magnet, and when the car door is completely closed, the door closing in-place sensor is arranged at the position of a fixed door head corresponding to the permanent magnet; the reed switch adopted by the door opening in-place sensor and the door closing in-place sensor is connected with the data detection module through +12V and Vout, when the reed switch detects the permanent magnet, the reed inside the reed switch is conducted, the Vout outputs +12V, and otherwise, the reed switch is suspended.
Further, a base station sensor adopts a reed switch acquisition mode, is arranged at a position close to a main beam position below an elevator guide shoe and an elevator guide rail, controls the elevator to run to a base station layer flat layer, and arranges a permanent magnet at a guide rail position corresponding to the reed switch; the reed switch adopted by the base station sensor is connected with the data detection module through +12V and Vout, when the reed switch detects a permanent magnet, the reed inside the reed switch is conducted, the Vout outputs +12V, and otherwise, the reed switch is suspended.
Further, the human body presence sensor is arranged inside the car and is connected with the data detection module through +12V, GND and Vout, when the car is detected to have a person, the Vout outputs +12V, and when the car is detected to have no person, the Vout outputs 0V.
Further, the car top emergency stop switch adopts and establishes the extension module at the mushroom head under the dress, and the extension module adopts open contact always, passes through +12V, Vout with the data detection module and is connected, and when car top emergency stop switch was not pressed, the extension module nonconducting, Vout is unsettled, and when car top emergency stop switch was pressed, the extension module conducted, Vout output + 12V.
Furthermore, the safety gear switch adopts double-group contact output, a normally closed contact is connected into an elevator safety loop, a normally open contact is connected with the data detection module, and the normally open contact is connected through +12V, Vout, if the safety gear switch is a single-group contact in an installation site, the form of the safety gear switch needs to be changed into double-group contact, when the safety gear switch acts, the normally open contact is conducted, Vout outputs +12V, and when the safety gear switch does not act, the normally open contact is disconnected, and the Vout is suspended.
Further, as shown in fig. 3, the real-time operation status data of the pit area of the elevator collected by the pit auxiliary monitoring terminal mainly includes an elevator speed limiter tensioning wheel switching status, a car hydraulic buffer switching status, a counterweight hydraulic buffer switching status, a speed limiter tensioning wheel limit position, a counterweight buffer limit position, a pit emergency stop switching status, and the like.
Further, the information display system is a display screen in the car, and the display screen is connected with the monitoring terminal system and used for receiving information such as the running speed, the riding quality, the maintenance information, the inspection information and the health index of the elevator sent by the monitoring terminal system and displaying the information for elevator passengers.
Further, the cloud platform system can track the daily operation, fault and maintenance conditions of the elevator, comprehensively monitor elevator facilities (a machine room, a lift car and a pit) and provide real-time alarm for abnormity and fault. The cloud platform system can automatically record and store the running state and the running parameters of each elevator, and can timely alarm the elevator faults and abnormity, so that the fault conditions of the elevators are really recorded, and problems can be checked and responsibilities can be traced. The maintenance of a maintenance unit is supported as required, the rescue efficiency of the maintenance unit is improved, the operation safety of the elevator is ensured to the maximum extent, and the enterprise management cost is reduced.
Specifically, the cloud platform system is provided with an operating state monitoring module, a fault early warning module and a maintenance module. The running state monitoring module is used for comparing each real-time state parameter with the elevator car video according to a common time axis and generating an analysis interface according to the elevator running real-time state parameters and the elevator car video acquired by the monitoring terminal system, and providing power for elevator workers to compare the states of each parameter of the elevator in a time node according to the state information of each state parameter in the time node, so that when an abnormal event occurs to the elevator, the states of each parameter of the elevator in a key time node are pertinently compared, and the reason for causing the abnormal event is found; the fault early warning module is used for carrying out transverse or longitudinal comparison on each data waveform in the analysis interface obtained by the operation state monitoring module, and evaluating and carrying out fault early warning on a possible fault trend according to a comparison result; the maintenance module is used for supervising the content of elevator maintenance work.
Further, as shown in fig. 4, the analysis interface provided by the operation status monitoring module includes a car video, a time axis, an analog waveform, a digital waveform, and a comparison scale. The comparison scale can be adjusted according to actual conditions, and then each running state parameter of the elevator that corresponds to each time node is compared. The analog quantity waveform is used for representing parameters which change continuously along with the change of time, and the parameters specifically comprise the number of floors, the running speed, the X-axis acceleration of a lift car, the Y-axis acceleration of the lift car, the Z-axis acceleration of the lift car, a door lock loop, a safety loop, a main power supply, the position of an elevator, the temperature of a machine room, the temperature of a lift car top, the temperature and humidity of a traction machine and the running load weight of the elevator; the digital quantity waveform is used for representing parameters of on and off of a state changing along with time, and specifically comprises car human body induction, a traveling direction, a brake contactor, a main contactor, a leveling layer, a base station, door opening and closing in place, machine room emergency stop, car roof emergency stop, machine room human body induction, pit human body induction, a safety tongs switch, an elevator speed limiter tensioning wheel switch state, a car hydraulic buffer switch state, a counterweight hydraulic buffer switch state, a speed limiter tensioning wheel limit position and a counterweight buffer limit position.
Further, in the fault early warning module, when waveform comparison is performed on an analysis interface provided by the operation state monitoring module, waveforms of certain type of operation conventional data can be transversely compared, and if waveform changes are large, a possible fault trend can be evaluated according to conditions; and the characteristics of multiple types of running waveforms can be longitudinally compared, and the possible fault tendency can be evaluated according to the condition and the time change interval corresponding to the state.
The invention simply introduces a comparison and evaluation method for several waveforms:
elevator speed waveform diagnosis: the running speed curve of the elevator is checked through analog quantity waveform, the appearance position of the highest speed in the whole running process is checked through a transverse cursor and a longitudinal cursor, whether the value of the highest speed is 92% -105% of the rated speed or not can be checked, if the value exceeds the interval, attention should be paid or special speed measuring equipment is adopted for confirmation, and speed adjustment is carried out according to needs.
Diagnosing an elevator acceleration waveform: comparing an acceleration and deceleration waveform curve of daily operation with an acceleration and deceleration conventional curve of normal operation, if the acceleration and deceleration of a certain floor has particularity, whether the elevator has unconventional vibration and scratch or not should be confirmed on site; if the acceleration and deceleration curve is regularly and suddenly changed when the brake is started, whether the opening and closing of the internal contracting brake are abnormal or not needs to be confirmed on site.
Diagnosing the time difference between the elevator brake contactor and the operation contactor: the action time difference between the contracting brake contactor and the running contactor when the elevator is started and braked is checked through the time positioning mark of the vertical coordinate in the waveform of the contracting brake contactor, and the change of the time difference in the running period is compared according to the conventional time difference of normal running, so that if the deviation between the time difference change quantity and the conventional time difference is large, whether the contactor has the aging problem or not can be judged according to the time positioning mark.
Further, the maintenance module can supervise the content of elevator maintenance work. The maintenance personnel enter a maintenance mode through the mobile phone terminal, the elevator maintenance projects are confirmed according to the work content of maintenance in the maintenance process, the system records the completion time node of each maintenance project, and the time period of the whole maintenance process is recorded. Through each parameter curve of backtracking maintenance in-process elevator operation, the operational aspect of elevator maintenance process is restored, if look over the operational aspect of elevator at the floor, carried out corresponding operating conditions, elevator functioning speed condition etc. to the elevator, ensure that elevator maintenance personnel can carry out effectual maintenance to the elevator. The phenomena of maintenance in a walking mode, or leakage of protection in a escaping mode are prevented.
Furthermore, the cloud platform system is also provided with a personal application platform interface, an enterprise application platform interface and a safety supervision platform interface. The personal application platform interface is used for acquiring elevator related safety information from the cloud platform system and enabling elevator passengers to scan codes through mobile phone terminals for application; the enterprise application platform interface is used for acquiring elevator operation parameters and statistical data from the cloud platform system, and the elevator use unit, the maintenance unit and the insurance unit scan codes through a mobile phone terminal or log in an application through a computer; the safety supervision platform interface acquires elevator operation parameters and statistical data in the jurisdiction area from the cloud platform system, and an elevator inspection detection unit, a safety supervision unit and an elevator related management unit log in the application through a computer.
Furthermore, the platform supports two deployment modes of public cloud and private cloud, adopts a system architecture of distributed storage and centralized management, and can meet the supervision requirements of elevator supervision departments and use units on the elevator; the platform interface is open, so that the data stored on site can be acquired, the data acquisition is realized, and the running state of the equipment is completely mastered; according to the big data of the platform, the elevator fault diagnosis is realized by combining expert knowledge, and the potential safety hazard is eliminated to protect the driving of the equipment.
The above embodiments are only used for illustrating the present invention, and the structure, connection mode, manufacturing process, etc. of the components may be changed, and all equivalent changes and modifications performed on the basis of the technical solution of the present invention should not be excluded from the protection scope of the present invention.
Claims (10)
1. The utility model provides an elevator operation parameter supervisory systems based on thing networking big data which characterized in that includes: the system comprises a monitoring terminal system, an information display system and a cloud platform system;
the monitoring terminal system is used for carrying out data processing on monitoring data after monitoring the operation parameters of each elevator in real time and sending the processing result to the cloud platform system and the information display system;
the cloud platform system is used for storing, calculating and analyzing all received monitoring data and sending a calculation analysis result to the information display system;
the information display system is used for displaying all the received data.
2. The elevator operation parameter supervision system based on the big data of the internet of things according to claim 1, wherein the monitoring terminal system comprises a main monitoring terminal, a car auxiliary monitoring terminal, a pit auxiliary monitoring terminal, a data detection module, a communication module, a data transmission module, a core processor and a power supply module;
the main monitoring terminal is arranged in the area of the control cabinet of the elevator traction machine and is used for acquiring real-time operation state data of the area of the control cabinet of the elevator traction machine;
the car auxiliary monitoring terminal is arranged at the top of the elevator car and used for acquiring real-time running state data of the elevator car area;
the pit auxiliary monitoring terminal is arranged at the elevator pit and used for acquiring the real-time running state data of the elevator pit area;
the data detection module is used for acquiring state values of the main monitoring terminal, the car auxiliary monitoring terminal and the pit auxiliary monitoring terminal and transmitting the state values to the core processor through the data transmission module;
the core processor is used for carrying out data cleaning, data processing and data calculation on the received data and sending the processed data to the cloud platform system and the information display system through the communication module;
the power supply module supplies power to other modules.
3. The elevator operation parameter supervision system based on the big data of the internet of things according to claim 2, wherein the operation real-time state data of the elevator traction machine control cabinet area collected by the main monitoring terminal comprises: the system comprises a main power supply current, a safety loop parameter, a door lock loop parameter, a band-type brake contactor state, a main contactor state, a control cabinet temperature and humidity, a traction machine temperature and humidity, an elevator running load weight and a machine room emergency stop switch state.
4. The elevator operation parameter monitoring system based on the internet of things big data as claimed in claim 2, wherein the operation real-time state data of the elevator car region collected by the car auxiliary monitoring terminal comprises acceleration, number of floors, environmental temperature and humidity, a car door opening in-place state, a car door closing in-place state, a flat floor state, a base station position, human body detection, video monitoring, a car roof emergency stop switch state and a safety gear switch state in the X-Y-Z axis direction of the operation of the elevator car.
5. The elevator operation parameter monitoring system based on the Internet of things big data is characterized in that the car auxiliary monitoring terminal comprises an acceleration sensor, a leveling sensor, a door opening in-place sensor, a door closing in-place sensor, a base station sensor, a human body presence sensor, a car top emergency stop switch sensor, a safety gear switch sensor, a temperature and humidity sensor and a video acquisition module;
the acceleration sensor is used for acquiring an X-Y-Z axis acceleration value of the elevator in the running process of the elevator, performing primary processing on the acquired data to obtain a car running speed value, a height value and a running direction value, then sending the values to the core processor through the data transmission module, and meanwhile resetting the height value according to a reset instruction sent by the core processor;
the leveling sensor, the door opening in-place sensor, the door closing in-place sensor, the base station sensor, the human body existence sensor, the car roof emergency stop switch sensor, the safety gear switch sensor and the temperature and humidity sensor are respectively used for detecting a leveling state, a car door opening in-place state, a car door closing in-place state, a base station position, human body detection, a car roof emergency stop switch state, a safety gear switch state and temperature and humidity when the elevator runs, and sending detected state values to the core processor through the data detection module;
the video acquisition module is used for acquiring videos in the car and sending acquired video monitoring data to the core processor.
6. The elevator operation parameter supervision system based on the internet of things big data is characterized in that the acceleration sensor is placed at the top of the car, and the X-Y-Z axis direction of the acceleration sensor is consistent with the directions of three orthogonal coordinate axes of the car.
7. The elevator operation parameter monitoring system based on the internet of things big data as claimed in claim 2, wherein the pit auxiliary monitoring terminal collects operation real-time status data of the elevator pit area, including an elevator governor tensioner switching status, a car hydraulic buffer switching status, a counterweight hydraulic buffer switching status, a governor tensioner limit position, a counterweight buffer limit position and a pit emergency stop switching status.
8. The elevator operation parameter supervision system based on the internet of things big data as claimed in claim 1, wherein an operation state monitoring module, a fault early warning module and a maintenance module are arranged in the cloud platform system;
the running state monitoring module is used for comparing each real-time state parameter with the elevator car video according to a common time axis and generating an analysis interface according to the elevator running real-time state parameters and the elevator car videos collected by the monitoring terminal system;
the fault early warning module is used for comparing each data waveform in the analysis interface obtained by the running state monitoring module in a transverse or longitudinal direction and carrying out fault assessment and fault early warning according to the comparison result;
and the maintenance module is used for supervising the content of elevator maintenance work.
9. The elevator operation parameter supervision system based on the big data of the internet of things according to claim 8, wherein an analysis interface provided by the operation state detection module comprises a car video, a time axis, an analog quantity waveform, a digital quantity waveform and a comparison scale; the analog quantity waveform is used for representing parameters which change continuously along with the change of time state, and the parameters comprise the number of floors, the running speed, the X-axis acceleration of a lift car, the Y-axis acceleration of the lift car, the Z-axis acceleration of the lift car, a door lock loop, a safety loop, a main power supply, the position of an elevator, the temperature and humidity of a control cabinet, the temperature and humidity of a traction machine and the temperature and humidity of a car top environment; the digital quantity waveform is used for representing parameters of on and off of a state changing along with time, and comprises car human body induction, a traveling direction, a band-type brake contactor, a main contactor, a leveling layer, a base station, door opening in place, door closing in place, machine room emergency stop, car roof emergency stop, machine room human body induction, pit human body induction, a safety tongs switch, an elevator speed limiter tensioning wheel switch state, a car hydraulic buffer switch state, a counterweight hydraulic buffer switch state, a speed limiter tensioning wheel limit position and a counterweight buffer limit position; the comparison scale is used for selecting a certain comparison time on the time axis to compare the parameters.
10. The elevator operation parameter supervision system based on the internet of things big data as claimed in claim 6, wherein the cloud platform system is further provided with a personal application platform interface, an enterprise application platform interface and a safety supervision platform interface; the personal application platform interface is used for acquiring elevator related safety information from the cloud platform system and enabling elevator passengers to scan codes through mobile phone terminals for application; the enterprise application platform interface is used for acquiring elevator operation parameters and statistical data from the cloud platform system, and code scanning is performed by an elevator using unit, a maintenance unit and an insurance unit through a mobile phone terminal or a computer to log in an application; the safety supervision platform interface is used for acquiring elevator operation parameters and statistical data in the jurisdiction region from the cloud platform system, and an elevator inspection detection unit, a safety supervision unit and an elevator related management unit log in the application through a computer.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110917710.0A CN113526288A (en) | 2021-08-11 | 2021-08-11 | Elevator operation parameter supervisory systems based on thing networking big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110917710.0A CN113526288A (en) | 2021-08-11 | 2021-08-11 | Elevator operation parameter supervisory systems based on thing networking big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113526288A true CN113526288A (en) | 2021-10-22 |
Family
ID=78091487
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110917710.0A Pending CN113526288A (en) | 2021-08-11 | 2021-08-11 | Elevator operation parameter supervisory systems based on thing networking big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113526288A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114084768A (en) * | 2021-12-21 | 2022-02-25 | 辛格林电梯（中国）有限公司 | Elevator control cabinet with remote elevator-relieving device and remote elevator-relieving system |
| CN115009944A (en) * | 2022-05-26 | 2022-09-06 | 浙江鑫梯互联科技有限公司 | Intelligent real-time monitoring system for elevator running state |
| CN115367581A (en) * | 2022-09-20 | 2022-11-22 | 齐鲁工业大学 | Elevator remote monitoring platform based on intelligent Internet of things and embedded equipment |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201592932U (en) * | 2010-01-14 | 2010-09-29 | 四川润智兴科技有限公司 | Elevator safety early warning system |
| CN106542388A (en) * | 2015-09-22 | 2017-03-29 | 段勤丽 | Intelligent lift system |
| CN107265230A (en) * | 2017-08-22 | 2017-10-20 | 刘永 | A kind of elevator safety supervises Internet of things system |
| CN109775486A (en) * | 2019-03-13 | 2019-05-21 | 上海臻颖智能科技有限公司 | A kind of elevator operation monitoring system of view-based access control model intelligence |
| CN111675063A (en) * | 2020-07-07 | 2020-09-18 | 广东卓梅尼技术股份有限公司 | Elevator traction machine fault determination method and system based on current monitoring technology |
| CN111807186A (en) * | 2019-04-12 | 2020-10-23 | 福州开发区创达电子有限公司 | Elevator remote monitoring system based on multi-dimensional redundancy judgment |
| CN112357715A (en) * | 2021-01-13 | 2021-02-12 | 广东梯云科技有限公司 | Elevator maintenance supervision system based on elevator signals and supervision method thereof |
-
2021
- 2021-08-11 CN CN202110917710.0A patent/CN113526288A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201592932U (en) * | 2010-01-14 | 2010-09-29 | 四川润智兴科技有限公司 | Elevator safety early warning system |
| CN106542388A (en) * | 2015-09-22 | 2017-03-29 | 段勤丽 | Intelligent lift system |
| CN107265230A (en) * | 2017-08-22 | 2017-10-20 | 刘永 | A kind of elevator safety supervises Internet of things system |
| CN109775486A (en) * | 2019-03-13 | 2019-05-21 | 上海臻颖智能科技有限公司 | A kind of elevator operation monitoring system of view-based access control model intelligence |
| CN111807186A (en) * | 2019-04-12 | 2020-10-23 | 福州开发区创达电子有限公司 | Elevator remote monitoring system based on multi-dimensional redundancy judgment |
| CN111675063A (en) * | 2020-07-07 | 2020-09-18 | 广东卓梅尼技术股份有限公司 | Elevator traction machine fault determination method and system based on current monitoring technology |
| CN112357715A (en) * | 2021-01-13 | 2021-02-12 | 广东梯云科技有限公司 | Elevator maintenance supervision system based on elevator signals and supervision method thereof |
Non-Patent Citations (1)
| Title |
|---|
| 陆伟良等: "《数据中心建设BIM应用导论》", 31 December 2016 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114084768A (en) * | 2021-12-21 | 2022-02-25 | 辛格林电梯（中国）有限公司 | Elevator control cabinet with remote elevator-relieving device and remote elevator-relieving system |
| CN115009944A (en) * | 2022-05-26 | 2022-09-06 | 浙江鑫梯互联科技有限公司 | Intelligent real-time monitoring system for elevator running state |
| CN115367581A (en) * | 2022-09-20 | 2022-11-22 | 齐鲁工业大学 | Elevator remote monitoring platform based on intelligent Internet of things and embedded equipment |
| CN115367581B (en) * | 2022-09-20 | 2023-06-16 | 齐鲁工业大学 | Elevator remote monitoring platform based on intelligent Internet of things and embedded equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113526288A (en) | Elevator operation parameter supervisory systems based on thing networking big data | |
| CN105173943B (en) | Elevator inspection system | |
| CN205906840U (en) | Elevator failure diagnosis device | |
| CN111562096B (en) | Real-time online health state monitoring system of escalator | |
| CN105752783B (en) | Quality of elevator integrated evaluating method and system | |
| CN204280939U (en) | A kind of elevator operational monitoring forewarn system | |
| CN100417582C (en) | Lift running safety recall estimating system | |
| CN208684174U (en) | A kind of elevator safety detection system | |
| CN102826437B (en) | Device for recording and monitoring running of staircase | |
| CN110155845B (en) | Elevator remote control system capable of monitoring faults and disasters simultaneously | |
| CN108928744A (en) | A kind of container crane inline diagnosis and maintenance system based on big data | |
| CN108227617A (en) | A kind of tyre crane remote detection and assessment system | |
| CN108928703A (en) | A kind of lift running safety centralized monitoring system | |
| CN202785224U (en) | Escalator running recording and monitoring device | |
| JPH05162934A (en) | Control system for elevator | |
| CN109552959A (en) | A kind of towed elevator remotely monitors and fault diagnosis system and method | |
| CN115246609A (en) | Elevator safety prevention and control cloud platform and operation state evaluation and processing method | |
| CN209306800U (en) | A kind of elevator landing door lock is shorted detection and positioning device | |
| CN113998553A (en) | Elevator operation fault detection system and detection method thereof | |
| CN106315353B (en) | A kind of repair method of elevator wire rope | |
| CN208829050U (en) | A kind of lift running safety centralized monitoring system | |
| CN108190670A (en) | A kind of detection method of elevator intelligent operational safety monitoring system | |
| CN113650648A (en) | Straddle type single-track turnout operation monitoring and maintenance system | |
| CN112408143A (en) | Elevator thing networking operation monitoring system based on cloud platform | |
| CN109110588B (en) | Elevator supervisory systems based on monitoring elevator speed |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20211022 |