CN110104517B - Elevator running process analysis method - Google Patents
Elevator running process analysis method Download PDFInfo
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- CN110104517B CN110104517B CN201910301849.5A CN201910301849A CN110104517B CN 110104517 B CN110104517 B CN 110104517B CN 201910301849 A CN201910301849 A CN 201910301849A CN 110104517 B CN110104517 B CN 110104517B
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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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Abstract
The invention discloses an elevator operation process analysis method, which comprises the following steps: preparing data, namely selecting three fields of data occurrence time, current floor and door state from various types of data acquired by a front-end sensor of the elevator as three types of basic data to be used; data preprocessing, namely inquiring and pulling the running data of the elevator to be analyzed from a database according to the elevator identification number, and sequencing according to time; identifying the elevator running process, respectively identifying a floor change process and a door opening and closing process, matching the floor with the door opening and closing to obtain complete elevator running process information, identifying the floor change process as defining a starting point and an ending point of each continuous change of the elevator floor according to the change time and the direction information of the elevator floor; the door opening and closing process is recognized as passing door state data, door opening and closing actions of the car door are recognized, time of various door processes is obtained, and continuous door processes are spliced into a complete door opening and closing process.
Description
Technical Field
The invention belongs to the technical field of Internet of things, and particularly relates to an elevator operation process analysis method.
Background
In the prior art, the elevator internet of things terminal acquires elevator related behavior data, and the data needs to be analyzed and processed after being put in a warehouse in the background. Therefore, most elevator manufacturers on the market perform data mining and analysis work directly on the basis of raw data and corresponding models after collecting sensor data of the elevator.
The object of the research in the mode is only the state of the elevator at a certain moment, and a larger and deeper analysis angle is lacked, so that the problems that the abnormal state of the elevator is difficult to detect, the reason is difficult to trace after the abnormal situation is found, and the like are caused, and the calculation and analysis cost is increased for the statistical work of the operation situation of the elevator.
Disclosure of Invention
In view of the above problems to be solved, the present invention is directed to providing a method for analyzing a monomer running process.
In order to solve the technical problems, the invention adopts the following technical scheme:
an elevator operation process analysis method comprises the following steps:
data preparation, namely selecting three fields of data occurrence time, current floor and door state from various types of data collected by a front-end sensor of an elevator as three types of basic data to be used,
the data occurrence time refers to the time when the state of the elevator at a certain moment is collected by the sensor, and in one data record, all data information is considered to occur at the time point of the data occurrence time simultaneously; the current floor refers to the floor where the elevator is located at the time point of the data occurrence time; the "door state" refers to the state of the elevator car door, including "closed", "opened", "closing", and "opening";
data preprocessing, namely inquiring and pulling the running data of the elevator to be analyzed from a database according to the elevator identification number, and sequencing according to time;
identifying the elevator running process, respectively identifying the floor change process and the door opening and closing process, matching the floor with the door opening and closing to obtain complete elevator running process information,
the floor change process is identified as defining a starting point and an end point of each continuous change of the elevator floor through the change time and the direction information of the elevator floor; the door opening and closing process is recognized as passing door state data, door opening and closing actions of the car door are recognized, time of various door processes is obtained, and continuous door processes are spliced into a complete door opening and closing process.
Preferably, the floor change process identification is as follows:
finding a starting point: if the analysis of the previous floor change process is finished, marking a data point before the change when the floor starts to change, and taking the point as a starting point startIndex;
and (5) continuously traversing: marking a first point after the floor changes as lastMovingIndex every time the floor changes; simultaneously, marking the curMovingDirection of the current running direction according to the changing direction of the floor;
finding an end point: after the starting point has been found, one of the following conditions is satisfied, namely that the end point is considered to be found: (1) the elevator stays in the same floor for more than a limited range; (2) the time difference between two adjacent data records exceeds a limited range; (3) the change direction of the last floor is not consistent with the currMovingDirection recorded last time, and the lastMovingIndex which marks the found end point is endIndex;
data consolidation and variable resetting: after finding the end point, starting to process the data from the startIndex to the endIndex, analyzing the starting time, the ending time, the consumed time, the starting floor, the ending floor, the passing floor, the running direction and other related information of the running, and resetting the intermediate variables used for analysis after finishing processing the information, wherein the intermediate variables comprise the startIndex, the lastMovingIndex, the curMovingDirection and the endIndex;
the process of "finding the starting point" for the next round is started.
Preferably, the door opening and closing process identification specific process is as follows:
finding a starting point: traversing data, and if the data display door state is 'closed door', continuing traversing without operation; if the data shows other door states except for the door closed, the first point of the state is marked as a starting point startIndex;
finding an end point: continuously traversing on the basis of finding the startIndex until the door state of a certain point is found to be different from the startIndex, and marking the point as endIndex;
data processing and variable resetting: correspondingly identifying the type of the current door process through the change of the door states of the startIndex and the endIndex, and if the change of the door states does not accord with the identification rule, considering that the data is abnormal, and not outputting the data at the moment; after the processing is finished, if the door state of the endIndex is not closed, resetting the startIndex to the endIndex, and directly searching for a starting point, otherwise, resetting the intermediate variable and then returning to the searching for an end point;
repeating the steps until all data are analyzed;
splicing in the complete door opening and closing process: after all door processes are obtained, a splice is attempted for the temporally close door processes: when the continuous door process can form a door opening process which is larger than a continuous door opening process which is larger than a door closing process, packaging the processes into a complete door opening and closing process;
data processing: after the complete door opening and closing process is analyzed, the following information is extracted from the spliced data: the starting time, the ending time, the consumed time and the occurrence floor of each door process; the starting time, the ending time, the consumed time and the occurrence floor of the complete door opening and closing process.
Preferably, the complete operational process model contains the following information in chronological order: the elevator entrance process, the floor change process and the elevator exit process, wherein the elevator entrance process and the elevator exit process are analysis results of a complete door opening and closing process,
the complete door opening and closing process which is closest to the occurrence time of the floor change process within a certain time before the floor change process is generated is a door entering process (the end time of the door opening and closing process is used); the "complete door opening and closing process" which occurs closest to the end time of the "floor change process" within a certain time after the end of the "floor change process" is the "going-out process" (using the door opening and closing process start time). If the 'floor process' and the 'door opening and closing process' have time overlap (the overlap time is more than 0), the door opening and closing is considered as 'opening and closing in operation',
if the matching conditions are met, matching is carried out and the information is packaged, and the packaged running process comprises the information about floors and doors opened and closed; if some door opening and closing processes or floor processes cannot be matched, the processes are also encapsulated, and the missing information corresponds to a vacancy;
after the door opening and closing sequence and the floor process sequence are matched through the assumption, the information of the 'operation process' is correspondingly updated according to the information of the floor process and the door opening and closing process, and the method comprises the following steps: the information of the starting time, the ending time, the consumed time, the starting floor, the ending floor, the passing floor, the running direction and the like, wherein if two adjacent running processes share one 'complete switch door' (namely, the going-out elevator of the previous running process is also the going-in elevator of the next running process), the next running process needs to be marked as a reference switch door, and the time of the going-in elevator process cannot be included when the running process information is updated (namely, the starting time is set as the starting time of the floor process instead of the starting time of the going-in elevator, and the corresponding consumed time also does not include the consumed time of the going-in elevator).
The invention has the following beneficial effects: the collected elevator sensor data is further processed, the original sensor data is integrated from the viewpoint of the elevator running process, and the integrated data is put into other related analysis scenes for use. The concept of the elevator operation process and the description range are limited; selecting useful fields of sensor data; identification and screening of abnormal or invalid data; judgment of the beginning and the end of the elevator running process; analyzing and extracting corresponding operation information in the elevator operation process; and the compatibility of the elevator operation process analysis method for various elevator operation scenes is considered, so that the elevator operation process can be efficiently analyzed, and the elevator operation data processing efficiency and the application value are improved.
Drawings
Fig. 1 is a flow chart showing steps of an elevator running process analyzing method according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a flow chart of the steps of an elevator operation process analysis method according to an embodiment of the present invention is shown, which includes the following steps:
data preparation, namely selecting three fields of data occurrence time, current floor and door state from various types of data collected by a front-end sensor of an elevator as three types of basic data to be used,
the "data occurrence time", also referred to as "data collection time" internally, refers to the time when the state of the elevator at a certain moment is collected by the sensor, and in one data record, all data information is considered to occur at the same time at the time point of the "data occurrence time".
The "current floor" refers to the floor at which the elevator is located at the "time of occurrence of data" point in time, and in general, in the case of a time-continuous elevator data record, the "current floor" should also be continuously variable (except for the jump between floor-1 and floor-1).
"door state" refers to the state of the elevator car door, including "closed", "opened", "closing", and "opening"; in addition to the four normal states, when a problem occurs in the sensor or data transmission, which causes data abnormality, the field reports "other".
Data preprocessing, namely inquiring and pulling the running data of the elevator to be analyzed from a database according to the elevator identification number, and sequencing according to time;
identifying the elevator running process, respectively identifying a floor change process and a door opening and closing process, and matching the floor with the door opening and closing to obtain complete elevator running process information, wherein the floor change process is identified as defining a starting point and an ending point of each continuous change of the elevator floor according to the change time and the direction information of the elevator floor; the door opening and closing process is recognized as passing door state data, door opening and closing actions of the car door are recognized, time of various door processes is obtained, and continuous door processes are spliced into a complete door opening and closing process.
In a specific application example, the floor change process identification specific process is as follows:
finding a starting point: if the analysis of the previous floor change process is finished, marking a data point before the change when the floor starts to change, and taking the point as a starting point startIndex;
and (5) continuously traversing: marking a first point after the floor changes as lastMovingIndex every time the floor changes; simultaneously, marking the curMovingDirection of the current running direction according to the changing direction of the floor;
finding an end point: after the starting point has been found, one of the following conditions is satisfied, namely that the end point is considered to be found: (1) the elevator stays on the same floor for more than a limited time (e.g. 5 s); (2) the time difference between two adjacent data records exceeds a limited range (for example, 10 s); (3) the last floor change direction does not match the last recorded currmovingdirection, marking the found end point lastMovingIndex as endIndex.
Data consolidation and variable resetting: after finding the end point, starting to process the data from the startIndex to the endIndex, analyzing the starting time, the ending time, the consumed time, the starting floor, the ending floor, the passing floor, the running direction and other related information of the running, and resetting the intermediate variables used for analysis after finishing processing the information, wherein the intermediate variables comprise the startIndex, the lastMovingIndex, the curMovingDirection and the endIndex;
the process of "finding the starting point" for the next round is started.
In the process of finding the end point, the processing modes (2) and (3) are all used for identifying a scene that the door is not opened and closed (and the elevator runs in the reverse direction immediately) after the elevator runs to a certain floor, and the scene is generally and frequently generated in various elevators in practical tests.
In a specific application example, generally, the complete door opening and closing process includes three door processes: (1) a door opening process (door opening is greater than door opening already); (2) the door opening process is continued (opened door is larger than closing door); (3) door closing process (closing door > closed door). The door opening and closing process identification specific process is as follows:
finding a starting point: traversing data, and if the data display door state is 'closed door', continuing traversing without operation; if the data shows other door states except for the door closed, the first point of the state is marked as a starting point startIndex;
finding an end point: continuously traversing on the basis of finding the startIndex until the door state of a certain point is found to be different from the startIndex, and marking the point as endIndex;
data processing and variable resetting: the type of the current door process (door opening process, continuous door opening process and door closing process) is correspondingly identified through the change of the door states of the startIndex and the endIndex, if the change of the door states does not accord with the identification rule, the data is considered to be abnormal, and the data cannot be output at the moment. After the processing is finished, if the door state of the endIndex is not closed, resetting the startIndex to the endIndex, and directly searching for a starting point, otherwise, resetting the intermediate variable and then returning to the searching for an end point;
repeating the steps until all data are analyzed;
splicing in the complete door opening and closing process: after all door processes are obtained, a splice is attempted for the temporally close door processes: when the continuous door process can form a door opening process which is larger than a continuous door opening process which is larger than a door closing process, packaging the processes into a complete door opening and closing process;
data processing: after the complete door opening and closing process is analyzed, the following information is extracted from the spliced data: the starting time, the ending time, the consumed time and the occurrence floor of each door process; the starting time, the ending time, the consumed time and the occurrence floor of the complete door opening and closing process.
In a specific application example, the floor and the door opening and closing matching process is specifically as follows. In the complete operation process model, the following information is included in time sequence: the method comprises the steps of elevator entering, floor changing and elevator exiting, wherein the elevator entering and the elevator exiting are complete door opening and closing process analysis results, a complete running process needs to be obtained, and the analysis results of the elevator entering and the elevator exiting need to be matched after the floor changing process identification and the door opening and closing process identification and analysis are completed.
The complete door opening and closing process which is closest to the occurrence time of the floor change process within a certain time before the floor change process is generated is a door entering process (the end time of the door opening and closing process is used); the "complete door opening and closing process" which occurs closest to the end time of the "floor change process" within a certain time after the end of the "floor change process" is the "going-out process" (using the door opening and closing process start time). If the 'floor process' and the 'door opening and closing process' have time overlapping (the overlapping time is more than 0), the door opening and closing process is considered as the 'opening and closing door in operation'.
If the matching conditions are met, matching is carried out and the information is packaged, and the packaged running process comprises the information about floors and doors opened and closed; if some door opening and closing processes or floor processes cannot be matched, the processes are also encapsulated, and the missing information corresponds to a vacancy;
after the door opening and closing sequence and the floor process sequence are matched through the assumption, the information of the 'operation process' is correspondingly updated according to the information of the floor process and the door opening and closing process, and the method comprises the following steps: the information of the starting time, the ending time, the consumed time, the starting floor, the ending floor, the passing floor, the running direction and the like, wherein if two adjacent running processes share one 'complete switch door' (namely, the going-out elevator of the previous running process is also the going-in elevator of the next running process), the next running process needs to be marked as a reference switch door, and the time of the going-in elevator process cannot be included when the running process information is updated (namely, the starting time is set as the starting time of the floor process instead of the starting time of the going-in elevator, and the corresponding consumed time also does not include the consumed time of the going-in elevator).
The collected elevator sensor data is further processed, the original sensor data is integrated from the viewpoint of the elevator running process, and the integrated data is put into other related analysis scenes for use. The concept of the elevator operation process and the description range are limited; selecting useful fields of sensor data; identification and screening of abnormal or invalid data; judgment of the beginning and the end of the elevator running process; analyzing and extracting corresponding operation information in the elevator operation process; and the compatibility of the elevator operation process analysis method for various elevator operation scenes is considered, so that the elevator operation process can be efficiently analyzed, and the elevator operation data processing efficiency and the application value are improved.
It is to be understood that the exemplary embodiments described herein are illustrative and not restrictive. Although one or more embodiments of the present invention have been described with reference to the accompanying drawings, it will be understood by those of ordinary skill in the art that various changes in form and details may be made therein without departing from the spirit and scope of the present invention as defined by the following claims.
Claims (4)
1. An elevator operation process analysis method is characterized by comprising the following steps:
data preparation, namely selecting three fields of data occurrence time, current floor and door state from various types of data collected by a front-end sensor of an elevator as three types of basic data to be used,
the data occurrence time refers to the time when the state of the elevator at a certain moment is collected by the sensor, and in one data record, all data information is considered to occur at the time point of the data occurrence time simultaneously; the current floor refers to the floor where the elevator is located at the time point of the data occurrence time; the "door state" refers to the state of the elevator car door, including "closed", "opened", "closing", and "opening";
data preprocessing, namely inquiring and pulling the running data of the elevator to be analyzed from a database according to the elevator identification number, and sequencing according to time;
identifying the elevator running process, respectively identifying the floor change process and the door opening and closing process, matching the floor with the door opening and closing to obtain complete elevator running process information,
the floor change process is identified as defining a starting point and an end point of each continuous change of the elevator floor through the change time and the direction information of the elevator floor; the door opening and closing process is recognized as passing door state data, door opening and closing actions of the car door are recognized, time of various door processes is obtained, and continuous door processes are spliced into a complete door opening and closing process.
2. The elevator operation process analyzing method according to claim 1, wherein the floor change process recognition specific process is as follows:
finding a starting point: if the analysis of the previous floor change process is finished, marking a data point before the change when the floor starts to change, and taking the point as a starting point startIndex;
and (5) continuously traversing: marking a first point after the floor changes as lastMovingIndex every time the floor changes; simultaneously, marking the curMovingDirection of the current running direction according to the changing direction of the floor;
finding an end point: after the start point has been found, one of the following conditions is satisfied, namely that the end point is considered to be found: (1) the elevator stays in the same floor for more than a limited range; (2) the time difference between two adjacent data records exceeds a limited range; (3) the change direction of the last floor is not consistent with the curMovingDirection recorded last time, and the end point found by marking is endIndex;
data consolidation and variable resetting: after finding the end point, starting to process the data from the startIndex to the endIndex, analyzing the starting time, the ending time, the consumed time, the starting floor, the ending floor, the passing floor and the running direction of the running, and resetting the intermediate variables used for analysis after finishing processing the information, wherein the intermediate variables comprise the startIndex, the lastMovingIndex, the curMovingDirection and the endIndex;
the process of "finding the starting point" for the next round is started.
3. The elevator operation process analysis method according to claim 2, wherein the door opening and closing process identification is performed as follows:
finding a starting point: traversing data, and if the data display door state is 'closed door', continuing traversing without operation; if the data shows other door states except for the door closed, the first point of the state is marked as a starting point startIndex;
finding an end point: continuously traversing on the basis of finding the startIndex until the door state of a certain point is found to be different from the startIndex, and marking the point as endIndex;
data processing and variable resetting: correspondingly identifying the type of the current door process through the change of the door states of the startIndex and the endIndex, and if the change of the door states does not accord with the identification rule, considering that the data is abnormal, and not outputting the data at the moment; after the processing is finished, if the door state of the endIndex is not closed, resetting the startIndex to the endIndex, and directly searching for a starting point, otherwise, resetting the intermediate variable and then returning to the searching for an end point;
repeating the steps until all data are analyzed;
splicing in the complete door opening and closing process: after all door processes are obtained, a splice is attempted for the temporally close door processes: when the continuous door process can form a door opening process → a continuous door opening process → a door closing process, packaging the processes into a complete door opening and closing process;
data processing: after the complete door opening and closing process is analyzed, the following information is extracted from the spliced data: the starting time, the ending time, the consumed time and the occurrence floor of each door process; the starting time, the ending time, the consumed time and the occurrence floor of the complete door opening and closing process.
4. The elevator operation process analyzing method according to claim 3, wherein the following information is included in the complete operation process model in time series: the elevator entrance process, the floor change process and the elevator exit process, wherein the elevator entrance process and the elevator exit process are analysis results of a complete door opening and closing process,
the 'complete door opening and closing process' which is closest to the occurrence time of the 'floor change process' in a certain time before the 'floor change process' occurs is a 'ladder entering process'; if the 'floor process' and the 'door opening and closing process' have time overlap and the overlap time is more than 0, the door opening and closing is considered as 'opening and closing in operation',
if the matching conditions are met, matching is carried out and the information is packaged, and the packaged running process comprises the information about floors and doors opened and closed; if some door opening and closing processes or floor processes cannot be matched, the processes are also encapsulated, and the missing information corresponds to a vacancy;
after the door opening and closing sequence and the floor process sequence are matched, the information of the 'operation process' is correspondingly updated according to the information of the floor process and the door opening and closing process, and the method comprises the following steps: the method comprises the steps of starting time, ending time, consumed time, starting floor, ending floor, passing floor and running direction information, wherein if two adjacent running processes share one 'complete opening and closing door', the complete opening and closing door is the elevator going out of the previous running process and the elevator going in of the next running process, the next running process needs to be marked as a reference opening and closing door, and in updating the running process information, the time of the elevator going in cannot be contained, namely the starting time is set to be the starting time of the floor process instead of the elevator entering starting time, and the corresponding consumed time also cannot contain the consumed time of the elevator going in.
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Denomination of invention: Analysis method of elevator operation process Effective date of registration: 20220419 Granted publication date: 20210625 Pledgee: CITIC Bank Limited by Share Ltd. Hangzhou Xiaoshan branch Pledgor: ZHEJIANG XINZAILING TECHNOLOGY Co.,Ltd. Registration number: Y2022330000551 |