CN114560366A - Elevator data acquisition and analysis system and analysis method - Google Patents

Elevator data acquisition and analysis system and analysis method Download PDF

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Publication number
CN114560366A
CN114560366A CN202210196963.8A CN202210196963A CN114560366A CN 114560366 A CN114560366 A CN 114560366A CN 202210196963 A CN202210196963 A CN 202210196963A CN 114560366 A CN114560366 A CN 114560366A
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elevator
data
data acquisition
acquisition device
cloud server
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费翔
罗菊萍
杨香香
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Giant Kone Elevator Co Ltd
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Giant Kone Elevator Co Ltd
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    • B66B5/0006—Monitoring devices or performance analysers
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    • B66B5/0031—Devices monitoring the operating condition of the elevator system for safety reasons
    • B—PERFORMING OPERATIONS; TRANSPORTING
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    • B—PERFORMING OPERATIONS; TRANSPORTING
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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
    • 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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    • G16Y20/00—Information sensed or collected by the things
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Abstract

The invention discloses an elevator data acquisition and analysis system and an elevator data acquisition and analysis method, wherein the elevator data acquisition and analysis system comprises a cloud server platform and a data acquisition device, wherein the cloud server platform is connected with the data acquisition device; the data acquisition device is connected with the elevator control system; the analysis method comprises the following steps: the method comprises the steps of power-on self-test, judgment of upgrading, autonomous operation, recording and judgment of elevator data, event reporting and event processing. According to the invention, the data acquisition device works autonomously to monitor, record and analyze real-time data of the elevator control system, once the recorded data meet the conditions agreed by a protocol, an event number can be created immediately and relevant information can be reported to the cloud server platform, and the cloud server platform can directly perform corresponding fault processing according to the acquired relevant information; the invention can acquire the elevator operation data in real time in an automatic mode and can acquire the elevator operation condition in time, thereby improving the safety and reliability of the elevator operation.

Description

Elevator data acquisition and analysis system and analysis method
Technical Field
The invention relates to the technical field of elevators, in particular to an elevator data acquisition and analysis system and an elevator data acquisition and analysis method.
Background
Elevators have become an indispensable vehicle in people's lives, and have undertaken important tasks of passenger transportation and cargo transportation. The operating data of the elevator also becomes data material which is very important for analyzing the operating condition of the elevator.
However, the existing elevator systems are all in an off-line state, elevator operation data cannot be acquired in real time in an automatic mode, and the elevator operation data can be acquired and submitted only by related instructions below manually; and the running state of the elevator cannot be acquired at the first time, and the situation of the elevator running can be found only through analysis after the running data of the elevator is acquired, so that potential safety hazards exist.
Therefore, the existing elevator system has the problems that the operation data of the elevator cannot be automatically acquired in real time and the operation condition of the elevator cannot be acquired in time.
Disclosure of Invention
The invention aims to provide an elevator data acquisition and analysis system and an elevator data acquisition and analysis method. The invention can acquire the elevator operation data in real time in an automatic mode and can acquire the elevator operation condition in time, thereby improving the safety and reliability of the elevator operation.
The technical scheme of the invention is as follows: the elevator data acquisition and analysis system comprises a cloud server platform and a data acquisition device, wherein the cloud server platform and the data acquisition device are connected with each other; the data acquisition device is connected with the elevator control system;
the cloud server platform can send instructions to the data acquisition device and receive data uploaded by the data acquisition device;
the data acquisition device can receive and execute the command issued by the cloud server platform, send the command to the elevator control system and receive and process the data and information reported by the elevator control system;
the elevator control system can actively report elevator data and receive and execute instructions of the data acquisition device according to communication specifications; the system is a core component of an elevator component platform and is responsible for elevator operation and safety;
the elevator control system is connected with the data acquisition device through a bus, and the data acquisition device is connected with the cloud server platform through a network.
In the elevator data acquisition and analysis system, the cloud server platform is a large background of an elevator internet of things system and is responsible for management of all devices such as a DTU (data transfer unit), an elevator and data, and software and logic management such as elevator real-time monitoring, data statistical analysis, intelligent maintenance algorithm, fault alarm and unified interface; the cloud server platform at least comprises the functions of data management, acquisition device management, authority management and service management;
the cloud server platform comprises a monitoring management module, an event management module, a file management module, a unit management module, an access platform module, an emergency disposal module, a permission management module and a system management module.
In the elevator data acquisition and analysis system, the data acquisition Device (DTU) is a data interaction device connected with the elevator control system and the cloud server platform, and is responsible for acquiring and recording original data generated by the elevator control system, transmitting the data to the cloud server platform after uniformly formatting the data, simultaneously analyzing the data generated by the elevator in real time, generating fault information by combining a logic algorithm, and uploading the fault information to the cloud server platform for alarming.
In the elevator data acquisition and analysis system, the data acquisition device at least comprises an operating system, a cpu, a network card and an I/O module, and can be communicated with the cloud server platform and the elevator control system.
In the elevator data acquisition and analysis system, the monitoring management module comprises real-time video monitoring, real-time map monitoring, real-time data monitoring, alarm number setting, monitoring setting, a big data monitoring center and a multi-elevator monitoring billboard;
the event management module comprises a fault contact person, fault short message preview, historical event query, fault statistics, voice request statistics, call records, fault level management and fault code management;
the archive management module comprises elevator information management, building management, intelligent hardware management and archive setting;
the unit management module comprises installation unit management, maintenance unit management, property right unit management, use unit management, property unit management, manufacturer management, regional unit management and dealer management;
the access platform module comprises access platform management, a fault reporting list, a maintenance access platform, third party access management and video access management;
the emergency handling module comprises rescue statistics, a rescue center and people trapping statistics;
the system management module comprises a user-defined setting, a user login log, a user operation log and a short message sending record.
The elevator data acquisition and analysis method comprises the following processes:
A. power-on self-test: the data acquisition device is started and carries out self-checking and sends version information to the cloud server platform;
B. judging whether to upgrade: the cloud server platform issues data acquisition logic and instructions to the data acquisition device and judges whether the data acquisition device needs to be upgraded according to the received version information; if yes, executing the step C; if not, executing the step D;
C. program upgrading: upgrading the program below the cloud server platform to the data acquisition device for program upgrading;
D. and (3) autonomous operation: the data acquisition device executes the command issued by the cloud server platform and switches to an autonomous working state;
E. recording elevator data and judging: the real-time data of the elevator control system is continuously monitored and recorded through the communication module, and then the recorded data are analyzed and judged according to a protocol, an algorithm and an instruction below the cloud server platform; if the data reaches the agreement condition, executing step G; if the protocol agreed condition is not met, the data acquisition device judges whether the residual capacity of the storage space of the data acquisition device reaches a threshold value, if so, the step F is executed, otherwise, the step E is executed; the protocol agreed condition is event information;
F. and deleting the record: executing the data clearing instruction, and executing the step E after the data clearing instruction is executed;
G. reporting an event: creating an event number and uploading corresponding data to a cloud server platform;
H. event processing: and the cloud server platform receives the reported event, matches the related information and transmits the matched event to the service system for processing.
In the elevator data collecting and analyzing method, the power-on self-test in step a includes: the DTU equipment is powered on and started up and carries out self-checking, and after the self-checking is finished, the hand bag is respectively sent to the elevator control system and the cloud platform so as to inquire information such as the model, the version and the elevator ID of the elevator control system and report the inquired elevator information, the software and hardware version of the DTU and the equipment ID information to the cloud.
The program upgrading of the elevator data acquisition and analysis method in the step C includes the following specific contents:
restarting to enter an autonomous working state after the DTU is upgraded;
aiming at the upgrade of an elevator control system, the method comprises the following specific steps:
c1, judging whether the DTU software system is the latest, if so, executing C2; if not, firstly carrying out DTU upgrading;
c2, no fault occurs in elevator operation: the elevator runs once from the bottommost layer to the topmost layer without fault and then returns to the base station layer;
c3, the elevator is located at the base station floor, and has no passenger carrying, no inside and outside calling, and all the hall door doors are closed in place;
c4, switching the elevator from the normal operation mode to the maintenance mode;
c5, executing an elevator control system upgrading program;
c6, restarting and self-checking after upgrading is completed;
c7, no fault occurs when the elevator is upgraded: the elevator runs once without fault from the bottommost layer to the topmost layer and then returns to the base station layer;
c8, switching from the maintenance mode to the normal mode;
if any error or fault exists in the upgrading process of the elevator control system, the elevator changes and maintains the maintenance mode, and the DTU reports an upgrading failure alarm to the cloud server platform to inform the maintenance of the elevator on the spot or manually upgrade the elevator.
In the elevator data collecting and analyzing method, in the step E of recording and judging elevator data, the real-time data of the elevator control system at least includes an elevator state, a running direction, a running speed, an elevator load, a bus voltage, an operation instruction of an elevator control panel, a car door state, an elevator mode state, and fault information.
In the elevator data acquisition and analysis method, the algorithm at least comprises a trapping algorithm, an event algorithm and a fault algorithm in the step E for recording the elevator data; the protocol refers to that various algorithms are modulated and demodulated according to a uniform format.
In the elevator data collecting and analyzing method, the record deletion in step F includes the following specific contents:
f1, when the residual capacity of the storage space of the data acquisition device is less than or equal to the threshold value, beginning to delete the recorded data of the farthest time;
f2, if the recorded data to be deleted correspond to the event information, deleting the recorded data by manual secondary confirmation; and if the recorded data to be deleted does not correspond to the event information, directly deleting the recorded data.
According to the elevator data acquisition and analysis method, the data acquisition device can upload the stored data to the specified position according to the instruction below the cloud server platform.
In the elevator data collecting and analyzing method, the event processing in step H includes:
after receiving the event information reported by the data acquisition device, the cloud server platform matches the self-stored related information, service logic and the optimal processing method and steps, then transmits the information to the service system, and schedules professional personnel to perform in-place processing by the service system.
Compared with the prior art, the data acquisition device works autonomously to monitor, record and analyze real-time data of the elevator control system, once the recorded data meet conditions (namely event information means elevator running condition) agreed by a protocol, event numbers can be created immediately and relevant information is reported to the cloud server platform, and the cloud server platform can directly perform corresponding fault processing according to the acquired relevant information (event information);
by adopting the invention, the data acquisition device can automatically acquire, store and report the data (elevator operation data) of the elevator control system in real time without manually issuing instructions, so that the timeliness of data acquisition is stronger; moreover, when the elevator runs in a state, the data acquisition device can acquire related information from the acquired data and immediately upload the related information to the cloud server platform for processing, so that the real-time performance is higher; thereby improving the safety and reliability of the elevator operation.
Therefore, the invention can acquire the elevator running data in real time in an automatic mode and can acquire the elevator running condition in time, thereby improving the safety and reliability of the elevator running.
Furthermore, the data acquisition device of the invention adopts a monitoring and recording mode to carry out autonomous operation, and compared with the existing data acquisition device, the invention has the following advantages:
1) the passive mode sends data to the network in a broadcast mode, so that frequency band resources are saved;
2) the data acquisition device is more flexible and convenient to deploy, and any node on the network can be deployed;
3) data are actively transmitted to the cloud server platform by using the elevator side, and compared with the original passive transmission, the real-time performance and the reliability are higher;
4) the passive monitoring record has less resource cost for the data acquisition device, and can use limited resources for processing other things;
5) the elevator control system can add new data into the transmission queue according to the protocol and send the new data to the network as long as the new data is generated, and the real-time performance is high;
compared with the conventional mainstream active polling request mode, the method can complete all data transmission in one communication process, and can immediately start next communication after the previous transmission is completed, namely, only one connection is needed to be established after one communication is completed, and continuous data transmission according to a protocol rule is called as data flow; the active polling request needs to rely on the data acquisition device to send a query command, the elevator control system sends corresponding data information after receiving the command, the acquisition device sends a receiving completion command after the receiving is completed, and finally the elevator control system can close the data, and the connection needs to be established for at least 3 times after one-time data transmission is completed;
the invention has higher communication efficiency and lower frequency band resource occupancy rate.
Drawings
FIG. 1 is a block diagram of an elevator data collection and analysis system of the present invention;
FIG. 2 is a diagram of a cloud server platform framework of the present invention;
fig. 3 is a flow chart of the elevator data acquisition and analysis method of the invention.
Detailed Description
The invention is further described with reference to the following figures and examples, which are not to be construed as limiting the invention.
Examples are given. An elevator data acquisition and analysis system, as shown in fig. 1-2, comprises a cloud server platform and a data acquisition device installed at the elevator side, which are connected with each other; the data acquisition device is connected with the elevator control system;
the cloud server platform can send instructions to the data acquisition device and receive data uploaded by the data acquisition device;
the data acquisition device can receive and execute the command issued by the cloud server platform, send the command to the elevator control system and receive and process the data and information reported by the elevator control system;
the elevator control system can actively report elevator data and receive and execute instructions of the data acquisition device according to communication specifications; the system is a core component of an elevator component platform and is responsible for elevator operation and safety;
the elevator control system is connected with the data acquisition device through a bus, and the data acquisition device is connected with the cloud server platform through a network.
The cloud server platform is a large background of the elevator Internet of things system and is responsible for management of all DTUs, elevators, data and other equipment, and software and logic management of elevator real-time monitoring, data statistical analysis, intelligent maintenance algorithm, fault alarm, unified interfaces and the like; the cloud server platform at least comprises the functions of data management, acquisition device management, authority management and service management;
the cloud server platform comprises a monitoring management module, an event management module, a file management module, a unit management module, an access platform module, an emergency disposal module, a permission management module and a system management module.
The data acquisition device is a data interaction device connected with the elevator control system and the cloud server platform, and is responsible for acquiring and recording original data generated by the elevator control system, transmitting the data to the cloud server platform after uniformly formatting the data, analyzing the data generated by the elevator in real time, generating fault information by combining a logic algorithm, and uploading the fault information to the cloud server platform for alarming.
The data acquisition device comprises an operating system, a cpu, a network card, an I/O module, a 4G module, an Ethernet module, a WIFI module, a storage module and a power module, wherein the 4G module can be communicated with the cloud server platform, and the I/O module can be communicated with the elevator control system.
The monitoring management module comprises real-time video monitoring, real-time map monitoring, real-time data monitoring, alarm number setting, monitoring setting, a big data monitoring center and a multi-elevator monitoring billboard;
the event management module comprises a fault contact person, fault short message preview, historical event query, fault statistics, voice request statistics, call records, fault level management and fault code management;
the archive management module comprises elevator information management, building management, intelligent hardware management and archive setting;
the unit management module comprises installation unit management, maintenance unit management, property right unit management, use unit management, property unit management, manufacturer management, regional unit management and dealer management;
the access platform module comprises access platform management, a fault reporting list, a maintenance access platform, third party access management and video access management;
the emergency handling module comprises rescue statistics, a rescue center and people trapping statistics;
the system management module comprises a user-defined setting, a user login log, a user operation log and a short message sending record.
The real-time video monitoring comprises a plurality of monitors and a single monitor; the real-time map monitoring comprises real-time positioning and entering monitoring; the real-time data monitoring comprises terminal states, elevator parameters, elevator files, elevator events, relay total flow logs, car videos, remote calling, floor synchronization and relay flow logs; the alarm receiving number setting comprises whether a cloud switchboard is started or not and incoming and outgoing number setting; the monitoring setting comprises map setting, cloud switchboard calling wheel number setting, automatic call setting and manual call voice notification setting.
The failed contact comprises an associated elevator; the fault short message preview comprises template preview and is set as default; the historical event query comprises real-time monitoring and real-time data viewing; the fault statistics comprise list statistics and histogram statistics; the voice request statistics comprise list statistics and histogram statistics; the call record comprises a call log and a call elevator; the fault level management includes a processing policy.
The elevator information management comprises elevator information overview, delivery information management, installation information management, maintenance information management and batch elevator information modification; the floor management comprises adding elevators to the floor and checking the number of elevators in the floor; the intelligent hardware management comprises binding elevators, unbinding elevators, modifying controller types and allocating; the archive management comprises factory information setting, installation information setting and maintenance information setting.
The user-defined setting comprises system display, controller name, monitoring control and cloud switchboard.
The elevator data acquisition and analysis method, as shown in fig. 3, includes the following steps:
A. power-on self-test: the data acquisition device is started and carries out self-checking and sends version information to the cloud server platform;
B. judging whether to upgrade: the cloud server platform issues data acquisition logic and instructions to the data acquisition device and judges whether the data acquisition device needs to be upgraded according to the received version information; if yes, executing the step C; if not, executing the step D;
C. program upgrading: upgrading the program below the cloud server platform to the data acquisition device for program upgrading;
D. and (3) autonomous operation: the data acquisition device executes the command issued by the cloud server platform and switches to an autonomous working state;
E. recording elevator data and judging: the real-time data of the elevator control system is continuously monitored and recorded through the communication module, and then the recorded data are analyzed and judged according to a protocol, an algorithm and an instruction below the cloud server platform; if the data reaches the agreement condition, executing step G; if the protocol agreed condition is not met, the data acquisition device judges whether the residual capacity of the storage space of the data acquisition device reaches a threshold value, if so, the step F is executed, otherwise, the step E is executed; the protocol agreed condition is event information;
F. and deleting the record: executing the data clearing instruction, and executing the step E after the data clearing instruction is executed;
G. reporting an event: creating an event number and uploading corresponding data to a cloud server platform;
H. event processing: and the cloud server platform receives the reported event, matches the related information and transmits the matched event to the service system for processing.
The version information in the step A comprises information such as system, protocol, algorithm, firmware and the like.
The power-on self-test in the step A comprises the following specific contents: the DTU equipment is powered on and started up and carries out self-checking, and after the self-checking is finished, the hand bag is respectively sent to the elevator control system and the cloud platform so as to inquire information such as the model, the version and the elevator ID of the elevator control system and report the inquired elevator information, the software and hardware version of the DTU and the equipment ID information to the cloud.
The program upgrading in the step C comprises the following specific contents:
restarting to enter an autonomous working state after the DTU is upgraded;
aiming at the upgrade of an elevator control system, the method comprises the following specific steps:
c1, judging whether the DTU software system is the latest, if so, executing C2; if not, firstly carrying out DTU upgrading;
c2, no fault occurs in elevator operation: the elevator runs once from the bottommost layer to the topmost layer without fault and then returns to the base station layer;
c3, the elevator is located at the base station floor, and has no passenger carrying, no inside and outside calling, and all the hall door doors are closed in place;
c4, switching the elevator from the normal operation mode to the maintenance mode;
c5, executing an elevator control system upgrading program;
c6, restarting and self-checking after upgrading is completed;
c7, no fault occurs when the elevator is upgraded: the elevator runs once from the bottommost layer to the topmost layer without fault and then returns to the base station layer;
c8, switching the maintenance mode into a normal mode;
if any error or fault exists in the upgrading process of the elevator control system, the elevator changes and maintains the maintenance mode, and the DTU reports an upgrading failure alarm to the cloud server platform to inform the maintenance of the elevator on the spot or manually upgrade the elevator.
And E, recording elevator data and judging, wherein the real-time data of the elevator control system at least comprises an elevator state, a running direction, a running speed, an elevator load, bus voltage, an operation instruction of an elevator control panel, a car door state, an elevator mode state and fault information.
E, in the step of recording the elevator data, the algorithm at least comprises a trapping algorithm, an event algorithm and a fault algorithm; the protocol refers to that various algorithms are modulated and demodulated according to a uniform format.
The record deletion in the step F includes the following specific contents:
f1, when the remaining capacity of the storage space of the data acquisition device is less than or equal to the threshold value, beginning to delete the recorded data of the farthest time; the threshold value can be manually adjusted, and the default value is 15%;
f2, if the recorded data to be deleted correspond to the event information, deleting the recorded data by manual secondary confirmation; and if the recorded data to be deleted does not correspond to the event information, directly deleting the recorded data.
The data acquisition device can upload the stored data to a specified position according to an instruction below the cloud server platform.
The event processing in step H includes:
after receiving the event information reported by the data acquisition device, the cloud server platform matches the self-stored related information, service logic and the optimal processing method and steps, then transmits the information to the service system, and schedules professional personnel to perform in-place processing by the service system.
The cloud server platform is communicated with the DTU through a 4G network and is mainly used as a large background of the whole elevator Internet of things to be responsible for large data algorithm, intelligent diagnosis and analysis, elevator and equipment management, unified interface management and the like. The DTU reports the elevator fault information to the cloud server platform, and the cloud server platform combines a maintenance scheme well maintained by professional technicians at the background and pushes the elevator fault information to the maintenance system through a unified interface according to the fault type and the operation record; meanwhile, the big data algorithm comprehensively judges the optimal maintenance time by combining the information such as the running time, the fault frequency, the fault type and the maintenance period of each elevator and pushes the optimal maintenance time to the maintenance system, and after the maintenance is finished, the maintenance system needs to feed the maintenance result back to the cloud-end elevator internet-of-things cloud platform so as to judge the next optimal maintenance time.

Claims (10)

1. Elevator data acquisition analytic system, its characterized in that: the system comprises a cloud server platform and a data acquisition device, wherein the cloud server platform and the data acquisition device are connected with each other; the data acquisition device is connected with the elevator control system;
the cloud server platform can send instructions to the data acquisition device and receive data uploaded by the data acquisition device;
the data acquisition device can receive and execute the command issued by the cloud server platform, send the command to the elevator control system and receive and process the data and information reported by the elevator control system;
the elevator control system can actively report elevator data and receive and execute instructions of the data acquisition device according to communication specifications;
the elevator control system is connected with the data acquisition device through a bus, and the data acquisition device is connected with the cloud server platform through a network.
2. The elevator data collection and analysis system of claim 1, wherein: the cloud server platform at least comprises the functions of data management, acquisition device management, authority management and service management;
the cloud server platform comprises a monitoring management module, an event management module, a file management module, a unit management module, an access platform module, an emergency disposal module, a permission management module and a system management module.
3. The elevator data collection and analysis system of claim 1, wherein: the data acquisition device at least comprises an operating system, a cpu, a network card and an I/O module, and can be communicated with the cloud server platform and the elevator control system.
4. The elevator data collection and analysis system of claim 2, wherein: the monitoring management module at least comprises real-time video monitoring, real-time map monitoring, real-time data monitoring and monitoring setting;
the event management module at least comprises a fault contact person, fault statistics and fault level management;
the file management module at least comprises elevator information management, intelligent hardware management and file setting;
the unit management module at least comprises installation unit management, maintenance unit management and use unit management;
the access platform module at least comprises an access platform management, a maintenance access platform and a video access management;
the emergency handling module comprises rescue statistics, a rescue center and people trapping statistics;
the system management module at least comprises a user login log, a user operation log and a short message sending record.
5. The elevator data collection and analysis method of the elevator data collection and analysis system according to any one of claims 1 to 4, comprising the following steps:
A. power-on self-test: the data acquisition device is started and carries out self-checking and sends version information to the cloud server platform;
B. judging whether to upgrade: the cloud server platform issues data acquisition logic and instructions to the data acquisition device and judges whether the data acquisition device needs to be upgraded according to the received version information; if yes, executing the step C; if not, executing the step D;
C. program upgrading: the cloud server platform issues an upgrading program to the data acquisition device for program upgrading;
D. and (3) autonomous operation: the data acquisition device executes the command issued by the cloud server platform and switches to an autonomous working state;
E. recording elevator data and judging: the real-time data of the elevator control system is continuously monitored and recorded through the communication module, and then the recorded data are analyzed and judged according to a protocol, an algorithm and an instruction below the cloud server platform; if the data reaches the agreement condition, executing step G; if the protocol agreed condition is not met, the data acquisition device judges whether the residual capacity of the storage space of the data acquisition device reaches a threshold value, if so, the step F is executed, otherwise, the step E is executed; the protocol agreed condition is event information;
F. and deleting the record: executing the data clearing instruction, and executing the step E after the data clearing instruction is executed;
G. reporting an event: creating an event number and uploading corresponding data to a cloud server platform;
H. event processing: and the cloud server platform receives the reported event, matches the related information and transmits the matched event to the service system for processing.
6. The elevator data collection and analysis method of claim 5, wherein: and E, recording elevator data and judging, wherein the real-time data of the elevator control system at least comprises an elevator state, a running direction, a running speed, an elevator load, bus voltage, an operation instruction of an elevator control panel, a car door state, an elevator mode state and fault information.
7. The elevator data collection and analysis method of claim 5, wherein: e, in the step of recording the elevator data, the algorithm at least comprises a trapping algorithm, an event algorithm and a fault algorithm; the protocol refers to that various algorithms are modulated and demodulated according to a uniform format.
8. The method for collecting and analyzing elevator data according to claim 5, wherein the record deletion in step F is as follows:
f1, when the residual capacity of the storage space of the data acquisition device is less than or equal to the threshold value, beginning to delete the recorded data of the farthest time;
f2, if the recorded data to be deleted correspond to the event information, deleting the recorded data by manual secondary confirmation; and if the recorded data to be deleted does not correspond to the event information, directly deleting the recorded data.
9. The elevator data collection and analysis method according to claim 5, wherein: the data acquisition device can upload the stored data to a specified position according to an instruction below the cloud server platform.
10. The method for collecting and analyzing elevator data according to claim 5, wherein the event processing in step H comprises:
after receiving the event information reported by the data acquisition device, the cloud server platform matches the self-stored related information, service logic and the optimal processing method and steps, then transmits the information to the service system, and schedules professional personnel to perform in-place processing by the service system.
CN202210196963.8A 2022-03-02 2022-03-02 Elevator data acquisition and analysis system and analysis method Pending CN114560366A (en)

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