CN115303906B - Signal receiving and dispatching management system based on unmanned elevator - Google Patents
Signal receiving and dispatching management system based on unmanned elevator Download PDFInfo
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- CN115303906B CN115303906B CN202211010546.6A CN202211010546A CN115303906B CN 115303906 B CN115303906 B CN 115303906B CN 202211010546 A CN202211010546 A CN 202211010546A CN 115303906 B CN115303906 B CN 115303906B
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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
- B66B5/0037—Performance analysers
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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
- B66B5/0031—Devices monitoring the operating condition of the elevator system for safety reasons
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/02—Applications of checking, fault-correcting, or safety devices in elevators responsive to abnormal operating conditions
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B50/00—Energy efficient technologies in elevators, escalators and moving walkways, e.g. energy saving or recuperation technologies
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- Maintenance And Inspection Apparatuses For Elevators (AREA)
- Indicating And Signalling Devices For Elevators (AREA)
Abstract
The invention relates to the technical field of signal receiving and transmitting management, in particular to a signal receiving and transmitting management system based on an unmanned elevator, which comprises an elevator control platform, wherein a processor and a display unit are arranged in the elevator control platform, and a lifting acquisition analysis unit, a lifting environment monitoring unit and a signal generation management unit are also arranged in the elevator control platform; the invention carries out abrasion analysis of the lifter by carrying out numerical conversion on the related record data of each lifter operation, thereby better carrying out calculation analysis on the abrasion condition of the lifter per se, increasing the safety of the lifter per se and saving the time of data analysis.
Description
Technical Field
The invention relates to the technical field of signal receiving and transmitting management, in particular to a signal receiving and transmitting management system based on an unmanned elevator.
Background
The elevator is a multifunctional lifting mechanical device and can be divided into a fixed type, a movable type, a guide rail type, a chain type and the like;
before the elevator operates, a technician often checks the elevator with data to check whether the elevator has potential safety hazards, and after the inspection technology, the elevator is operated according to the signals by sending an operation signal to the elevator, but the operation cannot be operated under the unattended condition and cannot be independently analyzed according to the elevator and the surrounding environment, so that the operation signal of the elevator is judged and managed, the time consumption is long, and the working efficiency is low;
in view of the technical drawbacks of this aspect, a solution is now proposed.
Disclosure of Invention
The invention aims to provide a signal receiving and dispatching management system based on an unmanned elevator, which carries out abrasion analysis on the elevator by carrying out numerical conversion on related record data of each elevator operation through carrying out lifting pulling force of the elevator and acting force of each object on the elevator, so as to better carry out calculation analysis on the abrasion condition of the elevator, increase the safety of the elevator, save the time of data analysis, dynamically carry out image processing on the objects around the elevator, predict the running track of the objects around the elevator, avoid the influence of the objects around the elevator on the elevator, avoid the influence of external factors when the elevator operates, and prolong the service life of the elevator.
The aim of the invention can be achieved by the following technical scheme:
the signal receiving and transmitting management system based on the unmanned elevator comprises an elevator control platform, wherein a processor and a display unit are arranged in the elevator control platform, and a lifting acquisition analysis unit, a lifting environment monitoring unit and a signal generation management unit are also arranged in the elevator control platform;
the processor generates an acquisition analysis signaling and transmits the acquisition analysis signaling to the lifting acquisition analysis unit, acquires data of the self condition of the lifter and the lifting object through the lifting acquisition analysis unit, calculates safety values of the lifter and the lifting object according to the acquired data, and calculates the receiving times, the tension difference value, the lifting impact value and the descending supporting force;
the processor generates an environment monitoring signaling and sends the environment monitoring signaling to the lifting environment monitoring unit, and the lifting environment monitoring unit monitors and processes the surrounding environment safety of the lifter during operation, so that whether the lifting safety of the lifter is judged, and an influence signal or an influence-free signal is generated;
the processor generates a management calculation signaling and transmits the management calculation signaling to the signal generation management unit, and the signal generation management unit carries out a safe calculation value on the lifter, the lifting object and the surrounding environment, and judges the lifting of the operation of the lifter according to the safe calculation value, and prohibits signaling or executes signaling;
the processor generates a display signaling and transmits the display signaling to the display unit, and the display unit performs authorization processing on the operation signal of the unmanned elevator to display 'permission execution' or 'non-permission execution'.
Furthermore, the lifting collection analysis unit carries out combination analysis on the self data of the lifter and the lifting object according to the collection analysis signaling, and the specific analysis process of the combination analysis is as follows:
acquiring stay cord data, object data, movement data, the number of stay cords and the receiving times of the unmanned elevator;
extracting a plurality of pieces of object data, marking the pieces of object data as Zw, taking the value of w as a positive integer, carrying out average value calculation on the pieces of object data, calculating the average value of the pieces of object data, carrying out difference value calculation on the average value of the pieces of object data and the pieces of object data, calculating the difference value of the pieces of object, carrying out average value calculation on the difference value of the pieces of object, and calculating the average difference value of the pieces of object;
extracting a plurality of moving data, marking the moving data as Yw, wherein the value of the Yw is a positive integer, carrying out average value calculation on the moving data, calculating the average value of the moving data, carrying out difference value calculation on the average value of the moving data and the moving data, calculating a plurality of moving difference values, carrying out average value calculation on the moving difference values, and calculating a moving average difference value;
extracting pull rope data and the number of pull ropes, marking the pull rope data as Ls, marking the number of pull ropes as Sl, setting a safety coefficient Aq of the pull ropes, setting a deviation adjusting factor beta= 0.95964 of the allowable pull force of the pull ropes, and calculating according to the pull rope bearing weight:calculate the maximum pulling force C of the practical use of the pull rope Pulling device ；
Carrying out lifting signal processing on the average value of the allowable pulling force and the object data, the average value of the object average value, the average value of the moving data, the receiving times and the moving average value, and calculating a pulling force difference value, a lifting impact value and a descending supporting force;
the stay cord data represent the diameter of stay cords when same lift is operated for several times, the object data represent the weight of the object to be lifted or lowered when same lift is operated for several times, the movement data represent the winding speed of stay cords when a plurality of same lifts are operated, the stay cord number represents the number of stretching when same lift is operated for several times, and the receiving times represent the times of the lifting signals and the lowering signals received by the lift in the past.
Further, the specific processing procedure of the lifting signal processing is as follows:
calculating the difference between the allowable pulling force and the average value of the object data and the average value of the object: tension difference = allowable tension- (mean value of object data ± object mean value difference), calculated tension difference is a range value;
carrying out ascending and descending bearing treatment on the average value of the object data and the average value of the object average value and the moving data and the moving average value:
when in the rising state: setting an inertia time, calculating the inertia distance by the average value of the inertia time and the movement data and the movement average difference value, calculating an upward height distance of the object in the inertia state, and calibrating the height distance as a height inertia value according to a calculation formula:calculating an impact value F1 of the object on the lifter after stopping, marking the impact value as a rising impact value, ez is represented as an average value of object data, zp is represented as an object average value, h is represented as a high inertia value, and g is represented as a gravity acceleration;
in the lowered state: bringing the average value of the object data, the average value of the object average value and the moving data, and the moving average value into a calculation formula: f2 = (ey±yp) (ez±zp) ×u1, where F2 represents the supporting force of the elevator on the object and is marked as the descending supporting force, ey represents the average value of the movement data, yp represents the movement average value, ez represents the average value of the object data, zp represents the object average value, and u1 represents the supporting force deviation adjustment factor.
Further, the lifting environment monitoring unit performs an image processing operation on the lifter and the surrounding environment when the lifter lifts the object according to the environment monitoring signaling, and the specific operation process of the image processing operation is as follows:
the method comprises the steps of calibrating collected images of a conventional lifter and an object as image data, performing three-dimensional imaging on the image data, marking the image data as a lifting image, and marking a motion track of the lifter to generate a lifting track;
marking the collected object images around the lifter as ring object images, marking the collected object names as object name data, marking the collected image of the object as object image data, and identifying the object according to the object name data, the object image data and the ring object images to generate a presence signal or an absence signal;
when no signal is identified, extracting object name data is not carried out, when the signal is identified, extracting object name data is carried out, and three-dimensional imaging is carried out on the ring object image according to the object name data to generate lifting and surrounding virtual images;
and marking the lifting track on the virtual image around the lifter, judging the influence of the virtual image around the lifter on the lifting estimation, and generating an influence signal or an influence-free signal.
Further, the specific process for judging the influence of the virtual image around the elevator on the elevation estimation is as follows:
marking a virtual image around an elevator to obtain a virtual lifting track coordinate, marking positions corresponding to object name data after three-dimensional imaging to obtain virtual coordinates corresponding to a plurality of object name data, calibrating the virtual coordinates to be a plurality of virtual object coordinates, selecting a plurality of virtual object coordinates in a period of time, respectively marking the virtual object coordinates of the same object in two different time points in a period of time as a coordinate A1 and a coordinate A2, matching the coordinate A1 with the coordinate A2, judging that the position of the object does not move when the matching results of the two are consistent, generating an unmovable signal, judging that the position of the object changes when the matching results of the two are inconsistent, and generating a movement signal;
identifying the non-moving signal and the moving signal, when the non-moving signal is identified, identifying the positions of the two times within a period of time again, when the moving signal is identified, extracting a coordinate A1 and a coordinate A2, taking the coordinate A1 as an origin, linearly extending towards the direction of the coordinate A2, and calibrating the extended straight line as an object moving extension line;
the method comprises the following steps of performing interaction recognition on lifting tracks marked in the peripheral virtual images on lifting and object movement extension lines: the object moving extension line is calibrated to be a plurality of coordinate points, and is calibrated to be moving coordinates, the lifting track is calibrated to be a plurality of coordinate points, and is calibrated to be track coordinate points, the plurality of moving coordinates are matched with the plurality of track coordinate points, when the matching results of the moving coordinates and the track coordinate points are inconsistent, no influence signal is generated, and when the matching results of the moving coordinates and the track coordinate points are consistent, the influence signal is generated.
Further, the signal generation management unit performs data and signal conversion calculation on the calculated value of the elevator during self operation and the object positions around the elevator according to the management calculation signaling, performs authorization processing on signal transceiving of the unmanned elevator according to the signal after conversion calculation, and performs authorization processing on the signal transceiving of the unmanned elevator according to the signal after conversion calculation, wherein the specific process comprises the following steps:
according to the loss calculation formula:
the receiving times, the tension difference value, the rising impact value and the falling supporting force are subjected to loss calculation to calculate a loss calculation value M Damage to L for tension difference Difference of difference The weight coefficient of the tension difference to the elevator loss is represented by e1, the rising impact value is represented by F1, the descending supporting force is represented by F2, the weight coefficient of the rising impact value to the elevator loss is represented by e2, and the descending supporting force to the elevator loss is represented by e2The coefficient is represented by e3, the number of times of reception is represented by Jc, and the deviation adjustment value calculated by the elevator loss is represented by δ;
extracting loss calculation value M Damage to And comparing it with loss threshold KM, when M Damage to Generating a working danger signal when the M is not less than KM Damage to Generating a working safety signal when KM is less than KM;
extracting a working danger signal, a working safety signal, an influence signal and an influence-free signal, and carrying out comprehensive authorization processing on the working danger signal, the working safety signal, the influence signal and the influence-free signal and the collected received operation signal of the unmanned elevator:
when any one of the working danger signal or the influence signal is identified, judging that potential safety hazards exist when the unmanned elevator is restarted, and generating a forbidden signaling;
when the working safety signal and the influence-free signal are identified to be simultaneously generated, the unmanned elevator is judged to have no potential safety hazard in operation, and an execution signaling is generated.
Further, the display unit and the display signaling convert and display the execution signaling or the prohibition signaling, specifically: and identifying the execution signaling or the prohibition signaling, extracting the operation signal of the unmanned lifter and displaying 'permission execution' when the execution signaling is identified, displaying the operation signal of the unmanned lifter and displaying 'non-permission execution' when the prohibition signaling is identified, and sounding an alarm.
The beneficial effects of the invention are as follows:
according to the invention, the abrasion analysis of the lifter is carried out by carrying out the numerical conversion on the related record data of each lifter operation through the lifting tension of the lifter and the acting force of each object on the lifter, so that the calculation analysis is better carried out on the abrasion condition of the lifter, the safety of the lifter is improved, the time of data analysis is saved, the objects around the lifter are dynamically subjected to image processing, the running track of the objects around the lifter is predicted, the influence of the objects around the lifter on the lifter is avoided, the influence of external factors is avoided when the lifter operates, and the service life of the lifter is prolonged.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a system block diagram of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention discloses a signal receiving and transmitting management system based on an unmanned elevator, which comprises an elevator control platform, an elevator acquisition and analysis unit, an elevator environment monitoring unit, a processor, a signal generation management unit and a display unit;
the lifting acquisition analysis unit, the lifting environment monitoring unit, the processor, the signal generation management unit and the display unit are all arranged in each lifting control platform, and the processor is respectively in communication connection with the lifting acquisition analysis unit, the lifting environment monitoring unit, the signal generation management unit and the display unit;
the processor generates an acquisition analysis signaling and transmits the acquisition analysis signaling to the lifting acquisition analysis unit, and the lifting acquisition analysis unit carries out combination analysis on self data of the lifter and the lifting object according to the acquisition analysis signaling, wherein the specific analysis process of the combination analysis is as follows:
the diameter of a pull rope is calibrated to be pull rope data when the same lifter is operated for a plurality of times, the weight of an object to be lifted or lowered is calibrated to be object data when the same lifter is operated for a plurality of times, the winding speed of the pull rope is calibrated to be moving data when the same lifter is operated for a plurality of times, the stretching quantity of the same lifter is calibrated to be the number of pull ropes when the same lifter is operated for a plurality of times, the times of the lifting signal and the lowering signal which are received by the lifter in the past are calibrated to be the receiving times, wherein the receiving times are known as the times of one-time lifting signal and one-time lowering signal, and the pull rope is a steel wire rope;
extracting a plurality of object data, marking the object data as Zw, taking the value of w as a positive integer, and bringing the object data into a calculation formula:n is a positive integer, an average value of a plurality of object data is calculated, the average value of the plurality of objects and the plurality of object data are subjected to difference value calculation, a plurality of object difference values are calculated, the average value of the plurality of object difference values is calculated, and an object average difference value is calculated;
extracting a plurality of mobile data, marking the mobile data as Yw, taking the value of w as a positive integer, and bringing the mobile data into a calculation formula:n is a positive integer, an average value of a plurality of moving data is calculated, the average value of the plurality of moving data and the plurality of moving data are subjected to difference value calculation, a plurality of moving difference values are calculated, the plurality of moving difference values are subjected to average value calculation, and a moving average value is calculated;
extracting stay cord data and the number of stay cords, and according to a stay cord bearing calculation formula:calculate the maximum pulling force C of the practical use of the pull rope Pulling device Calibrating the pull rope as allowable pulling force, wherein Ls is represented as pull rope data, sl is represented as the number of pull ropes, aq is represented as the safety coefficient of the pull ropes, beta is represented as a deviation adjusting factor of the allowable pulling force of the pull ropes, and the value of beta is 0.95964;
carrying out lifting signal processing on the average value of the allowable pulling force and the object data, the average value of the object average value, the average value of the moving data, the receiving times and the moving average value, wherein the lifting signal processing comprises the following steps:
calculating the difference between the allowable pulling force and the average value of the object data and the average value of the object: tension difference = allowable tension- (mean value of object data ± object mean value difference), the calculated tension difference is a range value, the range value is specifically: calibrating the value of the tension difference value in the tension difference value=allowable tension- (the average value of the object data+the average value of the object) to be a tension minimum value, and calibrating the value of the tension difference value in the tension difference value=allowable tension- (the average value of the object data-the average value of the object) to be a tension maximum value;
carrying out ascending and descending bearing treatment on the average value of the object data and the average value of the object average value and the moving data and the moving average value:
when in the rising state: setting an inertia time, calculating the inertia distance by the average value of the inertia time and the movement data and the movement average difference value, calculating an upward height distance of the object in the inertia state, and calibrating the height distance as a height inertia value according to a calculation formula:calculating an impact value F1 of the object on the lifter after stopping, marking the impact value as a rising impact value, ez is represented as an average value of object data, zp is represented as an object average value, h is represented as a high inertia value, and g is represented as a gravity acceleration;
in the lowered state: bringing the average value of the object data, the average value of the object average value and the moving data, and the moving average value into a calculation formula: f2 = (ey±yp) (ez±zp) ×u1, wherein F2 represents the supporting force of the elevator on the object and is marked as a descending supporting force, ey represents the average value of the movement data, yp represents the movement average value, ez represents the average value of the object data, zp represents the object average value, and u1 represents the supporting force deviation adjustment factor;
the processor generates an environment monitoring signaling and sends the environment monitoring signaling to the lifting environment monitoring unit, and the lifting environment monitoring unit performs an image processing operation on the lifter and the surrounding environment when the lifter lifts an object according to the environment monitoring signaling, wherein the specific operation process of the image processing operation is as follows:
the method comprises the steps of marking collected images of a conventional lifter and an object as image data, performing three-dimensional imaging on the image data of the conventional lifter and the object marked as lifting images, marking the edges of each motion time point of the lifter and the object in the lifting images to obtain a plurality of edge positions, and connecting the plurality of edge positions in a track manner to form a lifting track;
the method comprises the steps of calibrating an object image around an acquired lifter as an object surrounding image, calibrating an acquired object name as object name data, calibrating an acquired image of the object as object diagram data, and identifying the object according to the object name data, the object diagram data and the object surrounding image, wherein the method specifically comprises the following steps: matching and identifying the ring image and the object image data, when the matching is successful, judging that the corresponding object image data exists in the ring image to generate a presence signal, and when the matching is failed, judging that the corresponding object image data does not exist in the ring image to generate an absence signal;
identifying the presence signal and the absence signal, when the absence signal is identified, not extracting object name data, when the presence signal is identified, extracting object name data, and performing three-dimensional imaging on the ring image according to the object name data to generate lifting and surrounding virtual images;
marking a virtual image around an elevator to obtain a virtual lifting track coordinate, marking positions corresponding to object name data after three-dimensional imaging to obtain virtual coordinates corresponding to a plurality of object name data, calibrating the virtual coordinates to be a plurality of virtual object coordinates, selecting a plurality of virtual object coordinates in a period of time, respectively marking the virtual object coordinates of the same object in two different time points in a period of time as a coordinate A1 and a coordinate A2, matching the coordinate A1 with the coordinate A2, judging that the position of the object does not move when the matching results of the two are consistent, generating an unmovable signal, judging that the position of the object changes when the matching results of the two are inconsistent, and generating a movement signal;
identifying the non-moving signal and the moving signal, when the non-moving signal is identified, identifying the positions of the two times within a period of time again, when the moving signal is identified, extracting a coordinate A1 and a coordinate A2, taking the coordinate A1 as an origin, linearly extending towards the direction of the coordinate A2, and calibrating the extended straight line as an object moving extension line;
the method comprises the following steps of performing interaction recognition on lifting tracks marked in the peripheral virtual images on lifting and object movement extension lines: the method comprises the steps of calibrating an object moving extension line as a plurality of coordinate points, calibrating the object moving extension line as moving coordinates, calibrating a lifting track as a plurality of coordinate points, calibrating the lifting track as a track coordinate point, matching the plurality of moving coordinates with the plurality of track coordinate points, generating an influence-free signal when matching results of the moving coordinate and the track coordinate point are inconsistent, and generating an influence signal when matching results of the moving coordinate and the track coordinate point are consistent;
identifying the influence-free signal and the influence signal, automatically extracting object name data when the influence signal is identified, and not extracting the object name data when the influence signal is identified;
the processor generates a management calculation signaling and transmits the management calculation signaling to the signal generation management unit, the signal generation management unit carries out data and signal conversion calculation on a calculation value of the elevator during self operation and object positions around the elevator according to the management calculation signaling, the signal receiving and transmitting of the unmanned elevator is authorized according to the converted and calculated signal, and the specific process of carrying out the authorization processing on the signal receiving and transmitting of the unmanned elevator according to the converted and calculated signal is as follows:
extracting the receiving times, the tension difference value, the rising impact value and the falling supporting force, and bringing the receiving times, the tension difference value, the rising impact value and the falling supporting force into a loss calculation formula:
wherein M is Damage to Expressed as loss calculated value, L Difference of difference Expressed as a tension difference, e1 is expressed as a weight coefficient of the tension difference to the elevator loss, F1 is expressed as an ascending impact value, F2 is expressed as a descending supporting force, e2 is expressed as a weight coefficient of the ascending impact value to the elevator loss, and e3 is expressed as descendingThe weight coefficient of the supporting force to the elevator loss is Jc expressed as the receiving times, delta is expressed as the deviation adjusting value calculated by the elevator loss, and e1, e2, e3 and delta are all preset values;
extracting a loss calculated value, comparing the loss calculated value with a loss threshold value, judging that the safety of the elevator is low when the loss calculated value is larger than or equal to the loss threshold value, generating a working dangerous signal, and judging that the safety of the elevator is high when the loss calculated value is smaller than the loss threshold value, and generating a working safe signal;
extracting a working danger signal, a working safety signal, an influence signal and an influence-free signal, and carrying out comprehensive authorization processing on the working danger signal, the working safety signal, the influence signal and the influence-free signal and the collected received operation signal of the unmanned elevator:
when any one of the working danger signal or the influence signal is identified, judging that potential safety hazards exist when the unmanned elevator is restarted, and generating a forbidden signaling;
when the working safety signal and the no-influence signal are identified to be simultaneously generated, judging that the unmanned elevator does not have potential safety hazard in operation, and generating an execution signaling;
the processor generates a display signaling and transmits the display signaling to the display unit, and the display unit and the display signaling convert and display the execution signaling or the prohibition signaling, specifically: and identifying the execution signaling or the prohibition signaling, extracting the operation signal of the unmanned lifter and displaying 'permission execution' when the execution signaling is identified, displaying the operation signal of the unmanned lifter and displaying 'non-permission execution' when the prohibition signaling is identified, and sounding an alarm.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
Claims (4)
1. The signal receiving and transmitting management system based on the unmanned elevator comprises an elevator control platform, wherein a processor and a display unit are arranged in the elevator control platform, and the signal receiving and transmitting management system is characterized in that an elevator acquisition analysis unit, an elevator environment monitoring unit and a signal generation management unit are also arranged in the elevator control platform;
the processor generates an acquisition analysis signaling and transmits the acquisition analysis signaling to the lifting acquisition analysis unit, acquires data of the self condition of the lifter and the lifting object through the lifting acquisition analysis unit, calculates safety values of the lifter and the lifting object according to the acquired data, and calculates the receiving times, the tension difference value, the lifting impact value and the descending supporting force;
the processor generates an environment monitoring signaling and sends the environment monitoring signaling to the lifting environment monitoring unit, and the lifting environment monitoring unit monitors and processes the surrounding environment safety of the lifter during operation, so that whether the lifting safety of the lifter is judged, and an influence signal or an influence-free signal is generated;
the processor generates a management calculation signaling and transmits the management calculation signaling to the signal generation management unit, and the signal generation management unit carries out a safe calculation value on the lifter, the lifting object and the surrounding environment, and judges the lifting of the operation of the lifter according to the safe calculation value, and prohibits signaling or executes signaling;
the processor generates a display signaling and transmits the display signaling to the display unit, and the display unit performs authorization processing on the operation signal of the unmanned elevator to display 'permission execution' or 'non-permission execution';
the lifting collection analysis unit carries out combination analysis on self data of the lifter and lifting objects according to collection analysis signaling, and the specific analysis process of the combination analysis is as follows:
acquiring stay cord data, object data, movement data, the number of stay cords and the receiving times of the unmanned elevator;
extracting a plurality of pieces of object data, marking the pieces of object data as Zw, taking the value of w as a positive integer, carrying out average value calculation on the pieces of object data, calculating the average value of the pieces of object data, carrying out difference value calculation on the average value of the pieces of object data and the pieces of object data, calculating the difference value of the pieces of object, carrying out average value calculation on the difference value of the pieces of object, and calculating the average difference value of the pieces of object;
extracting a plurality of moving data, marking the moving data as Yw, wherein the value of the Yw is a positive integer, carrying out average value calculation on the moving data, calculating the average value of the moving data, carrying out difference value calculation on the average value of the moving data and the moving data, calculating a plurality of moving difference values, carrying out average value calculation on the moving difference values, and calculating a moving average difference value;
extracting pull rope data and the number of pull ropes, marking the pull rope data as Ls, marking the number of pull ropes as Sl, setting a safety coefficient Aq of the pull ropes, setting a deviation adjusting factor beta= 0.95964 of the allowable pull force of the pull ropes, and calculating according to the pull rope bearing weight:
calculating maximum pull force of pull rope in actual use>；
Carrying out lifting signal processing on the average value of the allowable pulling force and the object data, the average value of the object average value, the average value of the moving data, the receiving times and the moving average value, and calculating a pulling force difference value, a lifting impact value and a descending supporting force;
the rope pulling data are represented by the diameter of the rope when the same elevator runs for a plurality of times, the object data are represented by the weight of the object to be lifted or lowered when the same elevator runs for a plurality of times, the moving data are represented by the winding speed of the rope when the same elevator runs for a plurality of times, the number of the rope pulling is represented by the number of stretching when the same elevator runs for a plurality of times, and the receiving times are represented by the times of the lifting signals and the lowering signals which are received by the elevator in the past;
the specific processing procedure of the lifting signal processing is as follows:
calculating the difference between the allowable pulling force and the average value of the object data and the average value of the object: tension difference = allowable tension- (mean value of object data ± object mean value difference), calculated tension difference is a range value;
carrying out ascending and descending bearing treatment on the average value of the object data and the average value of the object average value and the moving data and the moving average value:
when in the rising state: setting an inertia time, calculating the inertia distance by the average value of the inertia time and the movement data and the movement average difference value, calculating an upward height distance of the object in the inertia state, and calibrating the height distance as a height inertia value according to a calculation formula:calculating an impact value F1 of the object on the lifter after stopping, marking the impact value as a rising impact value, ez is represented as an average value of object data, zp is represented as an object average value, h is represented as a high inertia value, and g is represented as a gravity acceleration;
in the lowered state: bringing the average value of the object data, the average value of the object average value and the moving data, and the moving average value into a calculation formula:wherein F2 is represented as the supporting force of the lifter on the object and marked as the descending supporting force, ey is represented as the average value of movement data, yp is represented as the movement average value, ez is represented as the average value of the object data, zp is represented as the object average value, and u1 is represented as the supporting force deviation adjusting factor;
the signal generation management unit performs data and signal conversion calculation on the calculation value of the elevator during self operation and the object positions around the elevator according to the management calculation signaling, performs authorization processing on signal receiving and transmitting of the unmanned elevator according to the signal after conversion calculation, and performs authorization processing on the signal receiving and transmitting of the unmanned elevator according to the signal after conversion calculation:
according to the loss calculation formula:will be connected withThe number of times of collection, the tension difference, the rising impact value and the falling supporting force are subjected to loss calculation, and a loss calculation value +.>Tension difference value->The weight coefficient of the tension difference to the elevator loss is represented by e1, the rising impact value is represented by F1, the descending supporting force is represented by F2, the weight coefficient of the rising impact value to the elevator loss is represented by e2, the weight coefficient of the descending supporting force to the elevator loss is represented by e3, the receiving times is represented by Jc, and the deviation adjustment value calculated by the elevator loss is represented by delta;
extracting loss calculation valueAnd comparing it with a loss threshold KM, when +.>Generating a work danger signal when +.>Generating a working safety signal;
extracting a working danger signal, a working safety signal, an influence signal and an influence-free signal, and carrying out comprehensive authorization processing on the working danger signal, the working safety signal, the influence signal and the influence-free signal and the collected received operation signal of the unmanned elevator:
when any one of the working danger signal or the influence signal is identified, judging that potential safety hazards exist when the unmanned elevator is restarted, and generating a forbidden signaling;
when the working safety signal and the influence-free signal are identified to be simultaneously generated, the unmanned elevator is judged to have no potential safety hazard in operation, and an execution signaling is generated.
2. The signal receiving and dispatching management system based on the unmanned elevator according to claim 1, wherein the lifting environment monitoring unit performs an image processing operation on the elevator and the surrounding environment when the elevator lifts an object according to the environment monitoring signaling, and the specific operation process of the image processing operation is as follows:
the method comprises the steps of calibrating collected images of a conventional lifter and an object as image data, performing three-dimensional imaging on the image data, marking the image data as a lifting image, and marking a motion track of the lifter to generate a lifting track;
marking the collected object images around the lifter as ring object images, marking the collected object names as object name data, marking the collected image of the object as object image data, and identifying the object according to the object name data, the object image data and the ring object images to generate a presence signal or an absence signal;
when no signal is identified, extracting object name data is not carried out, when the signal is identified, extracting object name data is carried out, and three-dimensional imaging is carried out on the ring object image according to the object name data to generate lifting and surrounding virtual images;
and marking the lifting track on the virtual image around the lifter, judging the influence of the virtual image around the lifter on the lifting estimation, and generating an influence signal or an influence-free signal.
3. The unmanned elevator-based signal transmission/reception management system according to claim 2, wherein the specific process for determining the influence of the elevator-surrounding virtual image on the elevator estimation is:
marking a virtual image around an elevator to obtain a virtual lifting track coordinate, marking positions corresponding to object name data after three-dimensional imaging to obtain virtual coordinates corresponding to a plurality of object name data, calibrating the virtual coordinates to be a plurality of virtual object coordinates, selecting a plurality of virtual object coordinates in a period of time, respectively marking the virtual object coordinates of the same object in two different time points in a period of time as a coordinate A1 and a coordinate A2, matching the coordinate A1 with the coordinate A2, judging that the position of the object does not move when the matching results of the two are consistent, generating an unmovable signal, judging that the position of the object changes when the matching results of the two are inconsistent, and generating a movement signal;
identifying the non-moving signal and the moving signal, when the non-moving signal is identified, identifying the positions of the two times within a period of time again, when the moving signal is identified, extracting a coordinate A1 and a coordinate A2, taking the coordinate A1 as an origin, linearly extending towards the direction of the coordinate A2, and calibrating the extended straight line as an object moving extension line;
the method comprises the following steps of performing interaction recognition on lifting tracks marked in the peripheral virtual images on lifting and object movement extension lines: the object moving extension line is calibrated to be a plurality of coordinate points, and is calibrated to be moving coordinates, the lifting track is calibrated to be a plurality of coordinate points, and is calibrated to be track coordinate points, the plurality of moving coordinates are matched with the plurality of track coordinate points, when the matching results of the moving coordinates and the track coordinate points are inconsistent, no influence signal is generated, and when the matching results of the moving coordinates and the track coordinate points are consistent, the influence signal is generated.
4. The signaling transmission/reception management system based on the unmanned elevator according to claim 1, wherein the display unit and the display signaling perform conversion display on the execution signaling or the prohibition signaling, specifically: and identifying the execution signaling or the prohibition signaling, extracting the operation signal of the unmanned lifter and displaying 'permission execution' when the execution signaling is identified, displaying the operation signal of the unmanned lifter and displaying 'non-permission execution' when the prohibition signaling is identified, and sounding an alarm.
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