CN110921451A - Elevator operation supervisory systems based on big data - Google Patents
Elevator operation supervisory systems based on big data Download PDFInfo
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- CN110921451A CN110921451A CN201911165966.XA CN201911165966A CN110921451A CN 110921451 A CN110921451 A CN 110921451A CN 201911165966 A CN201911165966 A CN 201911165966A CN 110921451 A CN110921451 A CN 110921451A
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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
- B66B5/0025—Devices monitoring the operating condition of the elevator system for maintenance or repair
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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
Abstract
The invention discloses an elevator operation supervision system based on big data, which adopts the technical scheme that the elevator operation supervision system comprises a supervision server, a plurality of elevator operation terminals and a plurality of maintenance terminals, wherein the supervision server is respectively connected with the elevator operation terminals and the maintenance terminals, each elevator operation terminal comprises a data acquisition module, a data verification module and a communication module, and the supervision server comprises a man-machine interaction module and a checking supervision module. The supervisory personnel can supervise each elevator operation terminal through the supervisory server, and when the operation of elevator operation terminal was unusual, the information can in time be received through the dimension terminal to the dimension is protected in time to elevator operation terminal to the dimension. And each elevator operation terminal corresponds to a plurality of maintenance terminals, and after the elevator operation terminals are abnormal, information is sent to the maintenance terminals according to the maintenance timeliness, so that the elevator operation terminals can be maintained in time.
Description
Technical Field
The invention relates to the field of elevator supervision, in particular to an elevator operation supervision system based on big data.
Background
The elevator is used as an indoor vertical public transport means frequently, and the elevator in some public places is in a long-term full-load running condition.
The existing elevator operation fault discovery adopts on-site manual side-station waiting monitoring inspection, and a large amount of manpower and material resources are consumed. Regular maintenance of the elevator depends on the consciousness of a management unit, and the elevator is easy to miss inspection due to negligence or neglect of the management unit, so that accidents are easy to happen due to long-term miss inspection of the elevator.
In reality, people usually realize that the elevator has a fault after the elevator has an accident, for example, the fault of the elevator is found after passengers are trapped, the passengers are not found timely after being trapped, or improper self-rescue methods are adopted, so that the rescue time is too long, the trapped passengers are panic, and even serious accidents can cause casualties.
The traditional elevator in China has frequent faults, one important reason is that the monitoring is not in place, the running state of the elevator cannot be detected, and data support management is not available, so that the traditional elevator in China has frequent faults, and the important reason is that the traditional elevator in China has frequent faults.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an elevator operation supervision system based on big data, which can supervise an elevator and feed the abnormal state of the elevator back to maintenance personnel in time.
In order to achieve the purpose, the invention provides the following technical scheme: an elevator operation supervisory systems based on big data which characterized in that: the elevator monitoring system comprises a monitoring server, a plurality of elevator operation terminals and a plurality of maintenance terminals, wherein each elevator operation terminal corresponds to a maintenance terminal and is configured with ID data of the maintenance terminal, and the monitoring server is respectively connected with the elevator operation terminals and the maintenance terminals;
the elevator operation terminal comprises a data acquisition module, a data verification module and a communication module, wherein the data acquisition module is used for acquiring terminal operation data, the data verification module is configured with a data verification strategy, the data verification strategy comprises the step of comparing the terminal operation data with a preset elevator operation data safety interval to obtain a comparison result, and if the comparison result exceeds the safety interval, the data verification module sends an abnormal command to the communication module; if the comparison result is that the data verification module is located in the safety interval, the data verification module does not send an abnormal command to the communication module; the communication module receives an abnormal command and then sends abnormal information to a supervision server, wherein the abnormal information comprises abnormal terminal operation data, elevator operation terminal ID data and maintenance terminal ID data corresponding to the elevator operation terminal;
the supervision server comprises a man-machine interaction module and a checking supervision module, the checking supervision module is configured with a checking supervision strategy, the checking supervision strategy comprises that the checking supervision module receives abnormal information and displays the abnormal information through the man-machine interaction module, and when the man-machine interaction module receives a maintenance confirmation instruction of a supervisor, the checking supervision module stores the abnormal information and sends abnormal terminal operation data and the ID data of the elevator operation terminal to a corresponding maintenance terminal through the ID data of the maintenance terminal; after the man-machine interaction module receives a maintenance cancellation instruction of a supervisor, the checking supervisor module stores the abnormal information but does not send the abnormal information; when the human-computer interaction module does not receive the instruction of a supervisor within the preset processing time, the checking and supervising module stores the abnormal information and automatically sends the abnormal terminal operation data and the ID data of the elevator operation terminal to the corresponding maintenance terminal through the ID data of the maintenance terminal;
the monitoring server also comprises an elevator testing module, the elevator testing module comprises an elevator testing strategy, the elevator testing strategy comprises the elevator testing module, the elevator testing module calls terminal operation data of a corresponding elevator operation terminal, and simulation operation tests are carried out on the elevator operation terminal according to the terminal operation data to obtain simulation operation test data; the simulation operation test data is corrected through the field actual test data of the elevator operation terminal;
the elevator testing module calculates risk critical data of each elevator operation terminal through a simulation operation test and sends the risk critical data to the corresponding elevator operation terminal, wherein the risk critical data comprises an acceleration critical value and a deceleration critical value under each load;
the elevator operation terminal also comprises an operation adjusting module, and when the elevator operation terminal reaches a critical value in the operation process, the operation adjusting module adjusts the acceleration and the deceleration of the elevator operation terminal so as to avoid the abnormal situation caused by the operation of the elevator operation terminal exceeding the critical value.
As a further improvement of the present invention, the monitoring server further includes an elevator monitoring module, the elevator monitoring module is configured with an elevator monitoring policy, the elevator monitoring policy includes that the elevator monitoring module receives a specific elevator monitoring command of a monitoring person through the human-computer interaction module, and calls all abnormal information of the corresponding elevator operation terminal within a preset calling time in response to the specific elevator monitoring command, and the elevator monitoring module sends all the called abnormal information to the human-computer interaction module.
As a further improvement of the invention, each elevator operation terminal corresponds to a plurality of maintenance terminals, each maintenance terminal is provided with a maintenance confirmation module, each maintenance confirmation module is provided with a maintenance confirmation strategy, each maintenance confirmation strategy comprises that the maintenance confirmation module receives abnormal terminal operation data and elevator operation terminal ID data and then receives a confirmation maintenance instruction of a maintenance worker within a preset confirmation time and sends confirmation information to the supervision server, and if the maintenance confirmation module does not receive the confirmation maintenance instruction of the maintenance worker within the preset confirmation time, the non-delivery information is sent to the supervision server;
the checking and monitoring strategy also comprises that when the checking and monitoring module receives the non-delivery information, the checking and monitoring module automatically sends abnormal terminal operation data and the ID data of the elevator operation terminal to the corresponding other maintenance terminal through the ID data of the other maintenance terminal; and the checking and monitoring module generates delivery information and sends the delivery information to the man-machine interaction module when receiving the confirmation information.
As a further improvement of the invention, a plurality of maintenance terminals corresponding to the elevator operation terminal are sorted according to the maintenance timeliness, the checking and monitoring module firstly sends abnormal terminal operation data and the ID data of the elevator operation terminal to the maintenance terminal with high maintenance timeliness, the maintenance timeliness is calculated through a preset timeliness algorithm, and the maintenance terminal sends the confirmation information times and the non-delivery information times to the monitoring server according to the distance between the maintenance terminal and the elevator operation terminal.
As a further improvement of the present invention, the calculation formula of the timeliness algorithm is:
wherein, P is the maintenance timeliness, A is the number of times that the maintenance terminal sends the confirmation information to the supervision server, B is the number of times that the maintenance terminal sends the non-delivery information to the supervision server, and H is the distance between the maintenance terminal and the elevator operation terminal.
As a further improvement of the invention, the terminal operation data comprises voltage, current, load, lifting speed, acceleration and deceleration; the elevator operation data safety interval comprises a voltage safety interval, a current safety interval, a load safety interval, a lifting speed safety interval, an acceleration safety interval and a deceleration safety interval.
As a further improvement of the present invention, the calculation formula of the acceleration critical value is:
wherein A1 is an acceleration critical value, a1 and c1 are parameters, b is the weight of the elevator running terminal, and d is the load.
As a further improvement of the present invention, the deceleration threshold value is calculated by the formula:
wherein A2 is a deceleration critical value, a2 and c2 are parameters, b is the elevator operation terminal weight, and d is the load.
As a further improvement of the invention, the man-machine interaction module comprises a buzzer.
As a further improvement of the invention, the maintenance terminal is configured as a mobile terminal.
The invention has the beneficial effects that: through the setting of supervision server, a plurality of elevator operation terminal and a plurality of dimension guarantor terminals, the supervision personnel can supervise each elevator operation terminal through supervision server, and when elevator operation terminal operation was unusual, the information can in time be received through the dimension guarantor terminal to the dimension guarantor carries out in time to elevator operation terminal. And through the setting of the elevator test module, the supervision server can obtain the critical risk data with high accuracy through a simulation operation test, and through the setting of the operation adjusting module, the elevator operation terminal can avoid the risk in operation, so that the abnormal frequency of the elevator operation terminal is favorably reduced, and the safety of the elevator operation terminal is improved.
Drawings
FIG. 1 is a schematic diagram of the system architecture of the present invention;
fig. 2 is a schematic diagram of the architecture of an elevator operation terminal;
FIG. 3 is an architectural schematic of a supervisory server;
fig. 4 is a flow diagram of an elevator test strategy.
Reference numerals: 1. a supervision server; 11. a human-computer interaction module; 12. a checking and monitoring module; 13. an elevator monitoring module; 14. an elevator test module; 2. an elevator operation terminal; 21. a data acquisition module; 22. a data verification module; 23. a communication module; 24. operating an adjusting module; 3. a maintenance terminal; 31. and a maintenance confirmation module.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples.
Referring to fig. 1, the elevator operation supervision system based on big data of the embodiment includes a supervision server 1, a plurality of elevator operation terminals 2 and a plurality of maintenance terminals 3, each elevator operation terminal 2 corresponds to a maintenance terminal 3 and is configured with ID data of the maintenance terminal 3, and the supervision server 1 is connected with the elevator operation terminals 2 and the maintenance terminals 3 respectively. Each elevator operation terminal 2 can correspond to a plurality of maintenance terminals 3, and the ID data of each maintenance terminal 3 is stored, and the ID data of one maintenance terminal 3 can be stored by a plurality of elevator operation terminals 2; the maintenance terminal 3 receives the maintenance information through the maintenance terminal 3, and the maintenance terminal 3 may be a non-mobile terminal such as a desktop computer or a mobile terminal having better portability such as a mobile phone or a notebook computer.
Referring to fig. 2, the elevator operation terminal 2 includes a data acquisition module 21, a data verification module 22 and a communication module 23, the data acquisition module 21 is configured to acquire terminal operation data, the data verification module 22 is configured with a data verification policy, the data verification policy includes comparing the terminal operation data with a preset elevator operation data safety interval to obtain a comparison result, and if the comparison result exceeds the safety interval, the data verification module 22 sends an abnormal command to the communication module 23; if the comparison result is that the data is located in the safety interval, the data verification module 22 does not send an abnormal command to the communication module 23; and the communication module receives the abnormal command and then sends abnormal information to the monitoring server 1, wherein the abnormal information comprises abnormal terminal operation data, elevator operation terminal 2ID data and maintenance terminal 3ID data corresponding to the elevator operation terminal 2.
The terminal operation data comprises voltage, current, load, lifting speed, acceleration and deceleration; the elevator operation data safety interval comprises a voltage safety interval, a current safety interval, a load safety interval, a lifting speed safety interval, an acceleration safety interval and a deceleration safety interval. When the elevator operation terminal 2 works, the data acquisition module 21 acquires terminal operation data, the data verification module 22 compares the terminal operation data with a preset elevator operation data safety interval, when any one of voltage, current, lifting speed and lifting acceleration in the terminal operation data exceeds the elevator operation data safety interval, the data verification module 22 sends an abnormal command to the communication module 23, and the communication module sends the abnormal terminal operation data, the elevator operation terminal 2ID data and the corresponding maintenance terminal 3ID data to the supervision server 1.
Referring to fig. 3, the supervision server 1 includes a man-machine interaction module 11 and a checking supervision module 12, the checking supervision module 12 is configured with a checking supervision strategy, the checking supervision strategy includes that the checking supervision module 12 receives abnormal information and displays the abnormal information through the man-machine interaction module 11, when the man-machine interaction module 11 receives a maintenance confirmation instruction of a supervisor, the checking supervision module 12 stores the abnormal information and sends abnormal terminal operation data and elevator operation terminal 2ID data to the corresponding maintenance terminal 3 through the maintenance terminal 3ID data; when the human-computer interaction module 11 receives a maintenance cancellation instruction of a supervisor, the checking and supervising module 12 saves the abnormal information but does not send the abnormal information; when the human-computer interaction module 11 does not receive the instruction of the supervisory personnel within the preset processing time, the checking and monitoring module 12 stores the abnormal information and automatically sends the abnormal terminal operation data and the ID data of the elevator operation terminal 2 to the corresponding maintenance terminal 3 through the ID data of the maintenance terminal 3.
The preset processing time can be 1 minute, the monitoring module of the monitoring server 1 receives the abnormal information and then displays the abnormal information on the human-computer interaction module 11, the human-computer interaction module 11 can comprise a buzzer to remind a monitoring person to process the abnormal information in time, and the monitoring person judges whether the abnormality needs to be maintained by a maintenance person within the preset processing time through the abnormal information displayed by the human-computer interaction module 11. If maintenance is needed, the supervisory personnel confirms the maintenance instruction, the checking and monitoring module 12 stores the abnormal information and sends the abnormal terminal operation data and the ID data of the elevator operation terminal 2 to the corresponding maintenance terminal 3 through the ID data of one maintenance terminal 3; if the maintenance is not needed, the checking and monitoring module 12 saves the abnormal information; if the supervisor does not make a decision within the preset processing time, the checking supervision module 12 stores the abnormal information and automatically sends the abnormal terminal operation data and the ID data of the elevator operation terminal 2 to the corresponding maintenance terminal 3 through the ID data of the maintenance terminal 3, and the maintenance staff can know which elevator operation terminal 2 is abnormal through the maintenance terminal 3 and needs to be maintained.
Referring to fig. 1, 2, and 3, the maintenance terminals 3 are all configured with a maintenance confirmation module 31, and the maintenance confirmation module 31 is configured with a maintenance confirmation policy, where the maintenance confirmation policy includes that the maintenance confirmation module 31 receives a confirmation maintenance instruction of a maintenance worker within a preset confirmation time after receiving abnormal terminal operation data and elevator operation terminal 2ID data, and sends a confirmation message to the monitoring server 1, and if the maintenance confirmation module 31 does not receive the confirmation maintenance instruction of the maintenance worker within the preset confirmation time, then sends an unsent message to the monitoring server 1.
The confirmation time is set to be more than 30 seconds, less than 60 seconds, preferably 45 seconds; after the maintenance terminal 3 receives the abnormal terminal operation data and the ID data of the elevator operation terminal 2, the maintenance personnel manually confirms within 45 seconds, and after the maintenance personnel manually confirm, the maintenance confirmation module 31 sends confirmation information to the supervision server 1; if the maintenance person does not see the information of the maintenance terminal 3 in time, the maintenance confirmation module 31 sends the undelivered information to the monitoring server 1 after 45 seconds.
The checking and monitoring strategy also comprises that when the checking and monitoring module 12 receives the non-delivery information, the checking and monitoring module 12 automatically sends abnormal terminal operation data and the ID data of the elevator operation terminal 2 to the corresponding other maintenance terminal 3 through the ID data of the other maintenance terminal 3; when the checking and supervising module 12 receives the confirmation information, it generates delivery information and sends it to the man-machine interaction module 11.
After the checking and monitoring module 12 receives the non-delivery information, the abnormal terminal operation data and the ID data of the elevator operation terminal 2 are sent to the other maintenance terminal 3, so that the problem that the maintenance timeliness is delayed because the previous maintenance terminal information is not received by maintenance personnel is solved.
The maintenance terminals 3 corresponding to the elevator operation terminals 2 are sequenced according to maintenance timeliness, the checking and monitoring module 12 sends abnormal terminal operation data and the elevator operation terminal 2ID data to the maintenance terminals 3 with high maintenance timeliness, the maintenance timeliness is calculated through a preset timeliness algorithm, and the maintenance terminals 3 send confirmation information times and non-delivery information times to the monitoring server 1 according to the distance between the maintenance terminals 3 and the elevator operation terminals 2. The calculation formula of the timeliness algorithm is as follows:
wherein, P is the maintenance timeliness, A is the number of times that the maintenance terminal 3 sends the confirmation information to the supervision server 1, B is the number of times that the maintenance terminal 3 sends the non-delivery information to the supervision server 1, and H is the distance between the maintenance terminal 3 and the elevator operation terminal 2.
When the ratio of the number of times that the maintenance terminal 3 sends the confirmation information to the monitoring server 1 to the number of times that the maintenance terminal 3 sends the non-delivery information to the monitoring server 1 is larger, the smaller the distance between the maintenance terminal 3 and the elevator operation terminal 2 is, the higher the maintenance timeliness is, which indicates that the response of the maintenance personnel corresponding to the maintenance terminal 3 to the abnormality of the elevator operation terminal 2 is more timely, so when the elevator operation terminal 2 is abnormal, the abnormal terminal operation data and the elevator operation terminal 2ID data are preferentially sent to the maintenance terminal 3 with the higher maintenance timeliness.
Referring to fig. 1 and 4, the monitoring server 1 further includes an elevator testing module 14, the elevator testing module 14 includes an elevator testing strategy, the elevator testing strategy includes that the elevator testing module 14 calls terminal operation data of the corresponding elevator operation terminal 2, and performs a simulation operation test on the elevator operation terminal 2 according to the terminal operation data to obtain simulation operation test data; correcting the simulation operation test data through the field actual test data of the elevator operation terminal 2; the elevator testing module 14 obtains risk critical data of each elevator operation terminal 2 through a simulation operation test and sends the risk critical data to the corresponding elevator operation terminal 2, wherein the risk critical data comprises an acceleration critical value and a deceleration critical value under each load; the elevator operation terminal 2 further comprises an operation adjusting module 24, and when the elevator operation terminal 2 reaches a critical value in the operation process, the operation adjusting module 24 adjusts the acceleration and the deceleration of the elevator operation terminal 2 to avoid the abnormal situation caused by the operation of the elevator operation terminal 2 exceeding the critical value.
The supervision server 1 can carry out simulation operation tests on each elevator operation terminal 2 through the elevator test module 14 to obtain simulation operation test data, supervision personnel can obtain actual operation data by measuring on site at the elevator operation terminal 2, errors are eliminated through comparison between the actual operation data and the simulation operation data, the simulation operation test data can be corrected, risk critical data of the elevator operation terminal 2 can be obtained through the corrected simulation operation test data and the simulation operation tests, and the accuracy of the risk critical data obtained through the mode is high. The setting through operation adjustment module 24 makes elevator operation terminal 2 can avoid the risk in service, is favorable to reducing the frequency that elevator operation terminal 2 takes place the anomaly, and improves the security of elevator operation terminal 2.
The calculation formula of the acceleration critical value is as follows:
wherein A1 is an acceleration critical value, a1 and c1 are parameters, b is the weight of the elevator operation terminal 2, and d is the load.
The deceleration threshold is calculated as:
wherein A2 is the deceleration threshold, a2 and c2 are parameters, b is the weight of the elevator operation terminal 2, and d is the load.
The supervisor can obtain the actual operation data of the elevator when the elevator is in no-load and full-load by measuring the no-load and full-load of the elevator on the site of the elevator operation terminal 2, and the actual operation data is brought into the calculation formula of the acceleration critical value and the calculation formula of the deceleration critical value, so that the parameters of a1, c1, a2 and c2 are corrected, and the calculation formula of the acceleration critical value and the calculation formula of the deceleration critical value are more accurate.
The supervision server 1 further comprises an elevator monitoring module 13, the elevator monitoring module 13 is configured with an elevator monitoring strategy, the elevator monitoring strategy comprises that the elevator monitoring module 13 receives a specific elevator monitoring command of a supervisor through the man-machine interaction module 11, all abnormal information of the corresponding elevator operation terminal 2 in a preset invoking time is invoked in response to the specific elevator monitoring command, and the elevator monitoring module 13 sends all the invoked abnormal information to the man-machine interaction module 11.
The supervisor can send the monitoring command of any one elevator operation terminal 2 through the man-machine interaction module 11, and the elevator monitoring module 13 will respond to the specific elevator monitoring command and call all the abnormal information of the corresponding elevator operation terminal 2 within the preset calling time. The preset call time may be set to 3 years. When the called elevator operation terminal 2 is not busy for three years, all abnormal information in the use process is called, so that a supervisor can know the fault condition before the elevator operation terminal 2.
The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above-mentioned embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may occur to those skilled in the art without departing from the principle of the invention, and are considered to be within the scope of the invention.
Claims (10)
1. An elevator operation supervisory systems based on big data which characterized in that: the elevator operation terminal system comprises a supervision server (1), a plurality of elevator operation terminals (2) and a plurality of maintenance terminals (3), wherein each elevator operation terminal (2) corresponds to the maintenance terminal (3) and is configured with ID data of the maintenance terminal (3), and the supervision server (1) is respectively connected with the elevator operation terminals (2) and the maintenance terminals (3);
the elevator operation terminal (2) comprises a data acquisition module (21), a data verification module (22) and a communication module (23), wherein the data acquisition module (21) is used for acquiring terminal operation data, the data verification module (22) is configured with a data verification strategy, the data verification strategy comprises the steps of comparing the terminal operation data with a preset elevator operation data safety interval to obtain a comparison result, and if the comparison result exceeds the safety interval, the data verification module (22) sends an abnormal command to the communication module (23); if the comparison result is that the data verification module (22) is located in the safety interval, the data verification module does not send an abnormal command to the communication module (23); the communication module receives an abnormal command and then sends abnormal information to the supervision server (1), wherein the abnormal information comprises abnormal terminal operation data, ID data of the elevator operation terminal (2) and ID data of a maintenance terminal (3) corresponding to the elevator operation terminal (2);
the monitoring server (1) comprises a man-machine interaction module (11) and a checking and monitoring module (12), the checking and monitoring module (12) is configured with a checking and monitoring strategy, the checking and monitoring strategy comprises that the checking and monitoring module (12) receives abnormal information and displays the abnormal information through the man-machine interaction module (11), and after the man-machine interaction module (11) receives a maintenance confirmation instruction of a monitoring person, the checking and monitoring module (12) stores the abnormal information and sends abnormal terminal operation data and the ID data of the elevator operation terminal (2) to a corresponding maintenance terminal (3) through the ID data of the maintenance terminal (3); when the man-machine interaction module (11) receives a maintenance canceling instruction of a supervisor, the checking and supervising module (12) saves the abnormal information but does not send the abnormal information; when the human-computer interaction module (11) does not receive the instruction of a supervisor within the preset processing time, the checking and supervising module (12) stores the abnormal information and automatically sends the abnormal terminal operation data and the ID data of the elevator operation terminal (2) to the corresponding maintenance terminal (3) through the ID data of the maintenance terminal (3);
the supervision server (1) further comprises an elevator testing module (14), the elevator testing module (14) comprises an elevator testing strategy, the elevator testing strategy comprises the steps that the elevator testing module (14) calls terminal operation data of the corresponding elevator operation terminal (2), and simulation operation tests are carried out on the elevator operation terminal (2) according to the terminal operation data to obtain simulation operation test data; the simulation operation test data is corrected through the field actual test data of the elevator operation terminal (2);
the elevator testing module (14) calculates risk critical data of each elevator operation terminal (2) through a simulation operation test and sends the risk critical data to the corresponding elevator operation terminal (2), wherein the risk critical data comprises an acceleration critical value and a deceleration critical value under each load;
the elevator operation terminal (2) further comprises an operation adjusting module (24), and when the elevator operation terminal (2) reaches a critical value in the operation process, the operation adjusting module (24) adjusts the acceleration and the deceleration of the elevator operation terminal (2) so as to avoid the phenomenon that the operation of the elevator operation terminal (2) exceeds the critical value and is abnormal.
2. The big data based elevator operation supervision system according to claim 1, characterized in that: the monitoring server (1) further comprises an elevator monitoring module (13), the elevator monitoring module (13) is configured with an elevator monitoring strategy, the elevator monitoring strategy comprises the steps that the elevator monitoring module (13) receives a specific elevator monitoring command of a monitoring person through the man-machine interaction module (11), all abnormal information of the corresponding elevator operation terminal (2) in preset calling time is called in response to the specific elevator monitoring command, and the elevator monitoring module (13) sends all the called abnormal information to the man-machine interaction module (11).
3. The big data based elevator operation supervision system according to claim 1, characterized in that: each elevator operation terminal (2) corresponds to a plurality of maintenance terminals (3), each maintenance terminal (3) is provided with a maintenance confirmation module (31), each maintenance confirmation module (31) is provided with a maintenance confirmation strategy, each maintenance confirmation strategy comprises a maintenance confirmation module (31) which receives abnormal terminal operation data and elevator operation terminal (2) ID data and then receives a maintenance confirmation instruction of a maintenance worker within a preset confirmation time and sends confirmation information to the monitoring server (1), and if the maintenance confirmation module (31) does not receive the maintenance confirmation instruction of the maintenance worker within the preset confirmation time, the non-delivery information is sent to the monitoring server (1);
the checking and supervising strategy also comprises that when the checking and supervising module (12) receives the information which is not sent, the checking and supervising module (12) automatically sends abnormal terminal operation data and the ID data of the elevator operation terminal (2) to the corresponding other maintenance terminal (3) through the ID data of the other maintenance terminal (3); and the checking and monitoring module (12) generates delivery information and sends the delivery information to the man-machine interaction module (11) when receiving the confirmation information.
4. The big data based elevator operation supervision system according to claim 3, characterized in that: the maintenance terminals (3) corresponding to the elevator operation terminals (2) are sequenced according to maintenance timeliness, the checking and monitoring module (12) sends abnormal terminal operation data and the ID data of the elevator operation terminals (2) to the maintenance terminals (3) with high maintenance timeliness, the maintenance timeliness is calculated through a preset timeliness algorithm, and the maintenance terminals (3) send confirmation information times and non-delivery information times to the monitoring server (1) according to the distance between the maintenance terminals (3) and the elevator operation terminals (2).
5. The big data based elevator operation supervision system according to claim 4, characterized in that: the calculation formula of the timeliness algorithm is as follows:
wherein, P is the maintenance timeliness, A is the number of times that the maintenance terminal (3) sends the confirmation information to the supervision server (1), B is the number of times that the maintenance terminal (3) sends the non-delivery information to the supervision server (1), and H is the distance between the maintenance terminal (3) and the elevator operation terminal (2).
6. The big data based elevator operation supervision system according to claim 1, characterized in that: the terminal operation data comprises voltage, current, load, lifting speed, acceleration and deceleration; the elevator operation data safety interval comprises a voltage safety interval, a current safety interval, a load safety interval, a lifting speed safety interval, an acceleration safety interval and a deceleration safety interval.
7. The big data based elevator operation supervision system according to claim 1, characterized in that: the calculation formula of the acceleration critical value is as follows:
wherein A1 is an acceleration critical value, a1 and c1 are parameters, b is the weight of the elevator operation terminal (2), and d is the load.
8. The big data based elevator operation supervision system according to claim 1, characterized in that: the deceleration critical value is calculated by the formula:
wherein A2 is a deceleration critical value, a2 and c2 are parameters, b is the weight of the elevator running terminal (2), and d is the load.
9. The big data based elevator operation supervision system according to claim 1, characterized in that: the man-machine interaction module (11) comprises a buzzer.
10. The big data based elevator operation supervision system according to claim 1, characterized in that: the maintenance terminal (3) is configured as a mobile terminal.
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| CN106227185A (en) * | 2016-07-05 | 2016-12-14 | 杨林 | A kind of elevator risk evaluating system |
| CN110271929A (en) * | 2019-06-14 | 2019-09-24 | 山东科技大学 | A kind of city elevator maintenance QA system based on big data driving |
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