CN110562812B - Equipment operation process segmentation method - Google Patents
Equipment operation process segmentation method Download PDFInfo
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- CN110562812B CN110562812B CN201910896589.0A CN201910896589A CN110562812B CN 110562812 B CN110562812 B CN 110562812B CN 201910896589 A CN201910896589 A CN 201910896589A CN 110562812 B CN110562812 B CN 110562812B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/24—Control systems with regulation, i.e. with retroactive action, for influencing travelling speed, acceleration, or deceleration
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B13/00—Doors, gates, or other apparatus controlling access to, or exit from, cages or lift well landings
- B66B13/02—Door or gate operation
- B66B13/14—Control systems or devices
Abstract
The invention discloses a method for segmenting an equipment operation process, which comprises the following steps: acquiring acceleration data of equipment running in a set direction; acquiring acceleration data of one operation action according to the acceleration data acquired in the set direction to form an acceleration data area corresponding to the operation action; dividing an acceleration data area of an action into a plurality of segments according to acceleration data in the acceleration data area of the action; acquiring an area with the acceleration speed lower than a set value in an acceleration data area as a segmentation area, and generating a segmentation node in the segmentation area; and according to the obtained plurality of segmentation nodes, taking the area between the adjacent segmentation nodes as a segmentation so as to form a plurality of segments. The equipment operation process segmentation method provided by the invention can be used for analyzing the equipment operation process according to the acceleration data in the equipment operation process to obtain each stage of equipment operation and the acceleration data of each stage.
Description
Technical Field
The invention belongs to the technical field of automation equipment, relates to an equipment operation analysis method, and particularly relates to an equipment operation process segmentation method.
Background
The elevator is the most common vertical transportation vehicle in modern high-rise buildings, saves time and physical strength of people and provides convenience for daily life. As a special device closely related to the life safety of the public, the safe operation of the elevator is receiving more and more attention from the society. However, because the elevator has a complex structure, the need to ensure safe and reliable operation of the elevator and detect the operation state and fault condition of the elevator become urgent needs for elevator management, maintenance and safe operation.
According to the statistics of the information network of the Chinese industry, China is the largest elevator country of production and consumer in the world and is also the largest elevator exit country. 81 ten thousands of newly-added elevators in 2017 in China, and the national elevator holding amount is 562.7 ten thousands.
The elevator industry in China has been developed for 70 years and is quite large at present. In the future, the whole industry will present the following development trends:
(1) domestic elevators will gradually expand the market share; (2) the elevator maintenance and repair market will be gradually standardized and expanded; (3) the elevator supervision will be intelligent.
At present, some enterprises in China develop a plurality of remote monitoring systems, and property, elevator operation companies and government departments can remotely monitor the state of an elevator in real time, find abnormal conditions and can acquire related information in time; however, since these systems are based on wireless network bases such as GPRS/GSM or 3G/4G, the following disadvantages are present:
a. the real-time running information of the elevator collected by the system is transmitted through wireless communication networks such as mobile, communication or telecommunication, so that the data flow is quite large, and in addition, the charging of a wireless network operator is based on the flow, so that the operation cost of the elevator remote monitoring system is high, and 24-hour uninterrupted monitoring cannot be realized.
b. The elevator fault early warning system has simple functions, has no database management function, can only carry out simple elevator running state monitoring, has no maintenance quality management monitoring function, and cannot carry out early warning of elevator faults.
c. The system compatibility is poor, the control can be only carried out on a few elevator types, the elevator faults cannot be accurately analyzed and judged, and specific fault positions of the elevator cannot be accurately given.
The existing monitoring mode generally knows the condition in the elevator by a camera arranged in the elevator or by receiving an alarm signal sent in the elevator; elevator faults cannot be predicted.
In view of the above, nowadays, there is an urgent need to design a new abnormality identification method for elevator and other equipment, so as to overcome the above-mentioned defects existing in the existing monitoring method for elevator and other equipment.
Disclosure of Invention
The invention provides a device operation process segmentation method, which can analyze the device operation process according to acceleration data in the device operation process to obtain each stage of device operation and the acceleration data of each stage; so that the different characteristics of each stage can be followed for identification and judgment.
In order to solve the technical problem, according to one aspect of the present invention, the following technical solutions are adopted:
a device operation process segmentation method comprises the following steps:
step 2, acquiring acceleration data of one operation action according to the acceleration data acquired in the set direction to form an acceleration data area corresponding to the operation action;
step 3, dividing an acceleration data area of one action into a plurality of segments according to the acceleration data in the acceleration data area of the action; the method specifically comprises the following steps:
acquiring an area with the acceleration rate of change lower than a set value in an acceleration data area as a segmentation area, and generating one or two segmentation nodes in one segmentation area; two end points of an acceleration data area of one action are also respectively used as segmentation nodes;
and according to the obtained plurality of segmentation nodes, taking the area between the adjacent segmentation nodes as a segmentation so as to form a plurality of segments.
In an embodiment of the present invention, in the step 3, two segment nodes are generated in one segment area in such a manner that segment nodes are generated at both ends of the segment area.
As an embodiment of the present invention, the step 3 further includes a data smoothing step of smoothing the data by using low-pass filtering to eliminate fluctuation of the acquired acceleration data.
As an embodiment of the present invention, in step 3, a peak and a trough in an acceleration signal curve in an acceleration data region are obtained; simultaneously acquiring acceleration data sections with acceleration data smaller than a set threshold in the acceleration data area, wherein one acceleration data section is used as a segmented node;
each peak, each valley and each acceleration data section of the acquired acceleration signal are taken as segmented nodes, and data between adjacent nodes is taken as segmented data of the acceleration data.
As an embodiment of the present invention, the step 3 includes the step 31: searching a door opening and closing area of the equipment; the step 31 comprises:
step 311: finding out wave crests and wave troughs in all acceleration signal curves of a set shaft, finding out wave crests and wave troughs of which the distance between the wave crests and the wave troughs is less than a set number of sampling points, taking the corresponding wave crests, wave troughs and acceleration signals between the wave crests and the wave troughs as partial data in a one-time door opening or closing combination, and taking the partial data as a first batch of acceleration signals; the combination of the door opening is wave crest-wave trough or wave trough-wave crest, and the combination of the door closing is wave trough-wave crest or wave crest-wave trough;
step 312: calculating a median y of signal values of the first group of acceleration signals, taking the median y as a third standard line, making a first standard line with the value of y + c parallel to a time axis, a second standard line with the value of y + d, a fourth standard line with the value of y-d, and a fifth standard line with the value of y-c, wherein the first standard line and the fifth standard line are used for filtering extreme points; determining the starting point of a wave crest through a second standard line, taking N points forward as a door opening starting point, determining the end point of a wave trough through a fourth standard line, and taking M points backward as a door closing end point; the area from the door opening starting point to the door closing end point is a temporary door opening and closing area; the N points comprise signal values in a short time before the door is opened, and the M points comprise signal points in a short time after the door is closed; wherein c and d are set values.
As an embodiment of the present invention, the step 31 further includes the step 313: because the device door is re-opened, the temporary door opening and closing area obtained in step 32 is not necessarily a complete one-time door opening and complete closing process, and all the temporary door opening and closing areas are combined together to obtain a real door opening and closing area.
As an embodiment of the present invention, the step 3 includes a step 32: segmenting the operation process of opening and closing the door of the equipment; the step 32 comprises:
step 321: calculating the acceleration of each point in the door opening and closing operation area of the equipment;
step 322: identifying and calculating all the area sections with the jerk value smaller than the set value on the time axis to obtain a plurality of area sections, including: the system comprises a gantry crane starting area, a plurality of acceleration change interval areas and a gantry crane stopping area; the acceleration change interval areas at least comprise a first acceleration change interval area and a second acceleration change interval area, and intersection points are formed between curves between the first acceleration change interval area and the second acceleration change interval area and an acceleration median line;
step 323: and dividing the whole operation curve into a plurality of sections according to the gantry crane starting area, the gantry crane stopping area, the plurality of jerk change interval areas and the intersection obtained in the step 322.
As an embodiment of the present invention, the step 3 includes a step S31: searching uplink and downlink areas of the equipment; the step S31 includes:
step S311, finding a median x1 corresponding to the acceleration data segment data as a third standard line in the acceleration curve graph, wherein x1+ e is a second standard line, and x1+ f is a first standard line; wherein e and f are set values;
step S312, if at least one continuous set point appears between the first standard line and the second standard line, a peak or a trough is considered to appear at the point, the first point of the continuous section is marked as A, and the last point is marked as B;
step S313, calculating corresponding slopes kA and kB for A, B, calculating d by using the similarity kA = (data [ A ] -x1)/d and kB = (x1-data [ B ])/d, and calculating that the wave crest or the wave trough should start from the point A before the point A and end at the point B after the point B; wherein data [ A ] represents the data value of point A, and d represents the number of points that are a distance from A, B; kA. kB is obtained by dividing the difference between the forward or backward ith point value of the point A and the point B and the point A and the point B by i, wherein i is a set value;
step S314, after all wave crests and wave troughs are obtained, if two adjacent wave crests in the same direction appear, the two wave crests are determined to belong to two single uplink and downlink operation curves; if the number of the middle points of the continuous section is larger than two sections of wave crests of the stable data section with a set threshold value, the wave crests of one continuous data section are determined to belong to two single uplink and downlink operation curves, and the adjacent wave crests and the wave troughs which are positioned behind the continuous data section are combined.
As an embodiment of the present invention, the step 3 includes a step S32: segmenting the uplink and downlink running process of the equipment; the step S32 includes:
step S321: calculating the acceleration of each point of the corresponding area in one uplink or downlink operation action;
step S322: identifying and calculating all area sections with jerk values smaller than a set value on an acceleration curve time axis corresponding to one operation action, and filtering the start area section and the stop area section to obtain 3 area sections which are respectively a uniform acceleration section, a uniform velocity section and a uniform deceleration section;
step S323: dividing the whole area into 7 sections according to the area section obtained in the step S322, and sequentially forming an acceleration increasing section, a uniform acceleration increasing section, an acceleration reducing section, a uniform speed section, an acceleration and deceleration section, a uniform deceleration section and a deceleration reducing section; the acceleration section is an acceleration time period in which acceleration is increased, the deceleration section is an acceleration time period in which acceleration is decreased, the uniform acceleration section is an acceleration time period in which acceleration is not changed, the acceleration section is a deceleration time period in which acceleration is increased, and the deceleration section is a deceleration time period in which acceleration is decreased.
The invention has the beneficial effects that: the equipment operation process segmentation method provided by the invention can analyze the equipment operation process according to the acceleration data in the equipment operation process to obtain each stage of equipment operation and the acceleration data of each stage; so that the different characteristics of each stage can be followed for identification and judgment.
The method can be used for judging the abnormal operation of the equipment, can acquire the acceleration data of the equipment (such as an elevator) according to the operation condition of the equipment, and can judge whether the equipment (such as the elevator) operates in an abnormal condition (such as the time for opening and closing the door is prolonged because the door is blocked by foreign matters) according to the acceleration data.
Drawings
Fig. 1 is a flowchart of a device operation process segmentation method according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of acceleration curves and standard lines in the uplink and downlink processes of an elevator in one embodiment of the invention.
Fig. 3 is a sectional view of the acceleration curve during the door opening and closing process of the elevator according to an embodiment of the present invention.
Fig. 4 is a schematic diagram of the velocity and acceleration curves in the up-and-down process of the elevator in one embodiment of the invention.
Fig. 5 is a graph showing the velocity and acceleration curves during the opening or closing of an elevator door according to an embodiment of the present invention.
FIG. 6 is a sectional view of a door opening area according to an embodiment of the present invention.
Fig. 7 is a schematic diagram of uplink region segmentation according to an embodiment of the present invention.
Detailed Description
Preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
For a further understanding of the invention, reference will now be made to the preferred embodiments of the invention by way of example, and it is to be understood that the description is intended to further illustrate features and advantages of the invention, and not to limit the scope of the claims.
The description in this section is for several exemplary embodiments only, and the present invention is not limited only to the scope of the embodiments described. It is within the scope of the present disclosure and protection that the same or similar prior art means and some features of the embodiments may be interchanged.
In the specification, an "operation action" refers to an action in the operation process of the device, such as an ascending or descending action, a door opening action or a door closing action, or a door opening and closing action.
The invention discloses a method for segmenting an equipment operation process, and FIG. 1 is a flow chart of the method for segmenting the equipment operation process in one embodiment of the invention; referring to fig. 1, in an embodiment of the present invention, the method for segmenting the operation process of the device includes:
step 2, acquiring acceleration data of one operation action according to the acceleration data acquired in the set direction to form an acceleration data area corresponding to the operation action;
and 3, dividing the acceleration data area of one action into a plurality of sections according to the acceleration data in the acceleration data area of one action. The method specifically comprises the following steps: acquiring an area with the acceleration change speed lower than a set value in an acceleration data area as a segmentation area, and generating one or two segmentation nodes in one segmentation area; two end points of an acceleration data area of one action are also respectively used as segmentation nodes; and according to the obtained plurality of segmentation nodes, taking the area between the adjacent segmentation nodes as a segmentation so as to form a plurality of segments.
In an embodiment of the present invention, in step 3, a segment node is generated in a segment area by generating a segment node in the middle of a segment. In another embodiment of the present invention, two segmentation nodes are generated in one segmentation region in such a manner that segmentation nodes are generated at both ends of the segmentation region, respectively.
In an embodiment of the present invention, the step 3 further includes a data smoothing processing step, which uses low-pass filtering to smooth the data, so as to eliminate the fluctuation of the collected acceleration data.
In an embodiment of the present invention, in the step 3, a peak and a trough in an acceleration signal curve in an acceleration data region are obtained; and simultaneously acquiring acceleration data sections of which the acceleration data are smaller than a set threshold in the acceleration data area, wherein one acceleration data section is used as a segmented node. Each peak, each valley and each acceleration data section of the acquired acceleration signal are taken as segmented nodes, and data between adjacent nodes is taken as segmented data of the acceleration data.
In an embodiment of the present invention, the method further includes step 4: acceleration data of each segment is acquired.
Fig. 5 is a schematic diagram of speed and acceleration curves during the opening and closing of an elevator door according to an embodiment of the present invention; referring to fig. 5, in an embodiment of the present invention, the speed and acceleration during the door opening and closing process are shown in fig. 5.
In an embodiment of the present invention, the step 3 includes the step 31: searching a door opening and closing area of the equipment; the step 31 comprises:
step 311: finding out wave crests and wave troughs in all acceleration signal curves of a set shaft, finding out wave crests and wave troughs of which the distance between the wave crests and the wave troughs is less than a set number of sampling points, taking the corresponding wave crests, wave troughs and acceleration signals between the wave crests and the wave troughs as partial data in a one-time door opening or closing combination, and taking the partial data as a first batch of acceleration signals; the combination of the door opening is wave crest-wave trough or wave trough-wave crest, and the combination of the door closing is wave trough-wave crest or wave crest-wave trough;
step 312: calculating a median y of signal values of the first group of acceleration signals, taking the median y as a third standard line, making a first standard line with the value of y + c parallel to a time axis, a second standard line with the value of y + d, a fourth standard line with the value of y-d, and a fifth standard line with the value of y-c, wherein the first standard line and the fifth standard line are used for filtering extreme points; determining the starting point of a wave crest through a second standard line, taking N points forward as a door opening starting point, determining the end point of a wave trough through a fourth standard line, and taking M points backward as a door closing end point; the area from the door opening starting point to the door closing end point is a temporary door opening and closing area; the N points comprise signal values in a short time before the door is opened, and the M points comprise signal points in a short time after the door is closed; wherein c and d are set values.
In an embodiment of the present invention, the step 31 further includes a step 313: because the device door is re-opened, the temporary door opening and closing area obtained in step 32 is not necessarily a complete one-time door opening and complete closing process, and all the temporary door opening and closing areas are combined together to obtain a real door opening and closing area.
Fig. 3 is a sectional view of an acceleration curve during the opening and closing of an elevator door according to an embodiment of the present invention; referring to fig. 3, in an embodiment of the present invention, the median y1 of the elevator door opening and closing curve is found, the 4 intercepted standard lines are y1+400, y1+10, y1-10, and y1-400, and the continuous curve in the region is intercepted when 5 continuous points or more are between the standard line 1 and the standard line 2 or within the standard line 4 and the standard line 5. Then, a peak-valley combination is searched to form a complete door opening and closing curve, and the method is implemented as follows: first, it is determined whether the door opening/closing curve starts from an upward peak or a downward valley. Because the curve of the opening and closing door is greatly interfered by the ascending and descending (the acceleration sensor is relatively deviated to a certain degree with the elevator, and the Y axis is influenced by the acceleration sensor to generate fluctuation when the elevator ascends and descends), the starting wave crest direction is directly determined by the opening and closing door in a section of non-ascending and descending section, and the starting wave crest direction is accidental, so that statistics is carried out by the trend of the first wave crest in a plurality of sections of non-ascending and descending sections, and the frequency is more than that of the actual opening and closing door. Taking fig. 3 as an example, the sequence of the truncated peaks is, at the beginning, an upward peak, a downward valley (in the present method, the whole section within the standard line 4 and the standard line 5 is a valley), and an upward peak. Therefore, after all the peaks and troughs are cut from a segment of continuous packet id data, the direction of every two adjacent peaks and troughs is upward and downward, which is the starting end, and downward and upward, which is the ending end. Two starting ends and two ending ends which are nearest form a section of door opening and closing curve, and two rules are different: the distance between two opposite wave crests (from a point A to a point B and from a point C to a point D in the figure 3) is not more than 100 points, and the distance between two homodromous waves is not more than 4000 points (from a point A to a point D in the figure 3); the abnormal data is discarded.
The above steps result in a complete door opening and closing curve, and the door opening and closing needs to be divided into specific door opening and closing curves. Also taking fig. 3 as an example, a plurality of curves similar to fig. 3 can be obtained after the above steps. Because the elevator door is re-opened, the temporary door opening and closing area obtained by the temporary door opening and closing area obtaining subunit is not necessarily a complete one-time door opening and complete closing process, and the real elevator door opening and closing area obtaining subunit combines all the temporary door opening and closing areas in a superposition mode or at too close interval time to obtain a real elevator door opening and closing area.
In an embodiment of the present invention, the step 3 includes the step 32: segmenting the operation process of opening and closing the door of the equipment; the step 32 comprises:
step 321: calculating the acceleration of each point in the door opening and closing operation area of the equipment;
step 322: identifying and calculating all the area sections with the jerk value smaller than the set value on the time axis to obtain a plurality of area sections, including: the system comprises a gantry crane starting area, a plurality of acceleration change interval areas and a gantry crane stopping area; the acceleration change interval areas at least comprise a first acceleration change interval area and a second acceleration change interval area, and intersection points are formed between curves between the first acceleration change interval area and the second acceleration change interval area and an acceleration median line;
step 323: and dividing the whole operation curve into a plurality of sections according to the gantry crane starting area, the gantry crane stopping area, the plurality of jerk change interval areas and the intersection obtained in the step 322.
The above steps have roughly intercepted all the curves of opening and closing the door of the elevator, and then the curves need to be accurately divided on the basis of the curves. In an embodiment of the present invention, the determination principle is: the data returned by the acceleration sensor under the static condition of the elevator is a regular oscillation curve and tends to be stable after low-pass filtering, and in the condition, if the difference between continuous multi-point adjacent data points is larger than a threshold value, namely the data is not stable any more, the elevator door is considered to be in a motion state. In one embodiment of the invention, the difference value of the acceleration of every two adjacent points of 10 continuous points is calculated, if 1 difference value exceeds a threshold value of 0.1, the elevator is considered to be in a running state (because of the short-time constant speed and the variation of the acceleration direction in the process of opening and closing the door of the elevator, a few cases that the acceleration value is smaller than the threshold value may occur). Since the oscillation of the curve cannot be completely eliminated, the open-close or close-open curve obtained by the above steps is generally intercepted into several segments of data, and the longest segment (i.e., the segment containing the largest number of data points) is taken as the accurate open (close) door data curve.
FIG. 6 is a schematic sectional view of a door opening area according to an embodiment of the present invention; referring to fig. 6, in an embodiment of the present invention, the marked sections are a door driving start area, a first speed changing area, a second speed changing area, a third speed changing area (peak), a fourth speed changing area (valley), a fifth speed changing area, a sixth speed changing area, and a door driving stop area, respectively. The middle point is the intersection point of the curve between the wave crest and the wave trough and the median line.
In one embodiment of the present invention, in step 31, the acceleration data includes acceleration data of a plurality of discrete data points, and the acceleration data of the plurality of discrete data points is fitted to an acceleration curve; acquiring a peak curve and a trough curve according to the acceleration curve; one peak curve and the corresponding trough curve are determined as an action unit, and at least one action unit is taken as an operation action.
In one embodiment of the present invention, in step 32, the acceleration data includes acceleration data of a plurality of discrete data points, and the acceleration data of the plurality of discrete data points is fitted to an acceleration curve; acquiring the curve slope of each key point in the acceleration curve and the acceleration value of each key point; if the positive and negative values of the slope of the curve change or the positive and negative values of the acceleration value change, the changed points are used as segmentation nodes; wherein, the change of the positive value and the negative value comprises any change among a positive value, zero and a negative value.
In an embodiment of the present invention, the one operation indicated in step 32 may be an ascending or descending operation, or may be a door opening or/and closing operation; can be freely set according to requirements. In some embodiments of the present invention, an operation may be an ascending operation, a descending operation, or a combination of opening and closing the door.
In an embodiment of the present invention, in step 32, a curve slope of each key point in the acceleration curve and an acceleration value of each key point are obtained; if the positive and negative values of the slope of the curve change or the positive and negative values of the acceleration value change, the changed points are used as segmentation nodes; wherein, the change of the positive value and the negative value comprises any change among a positive value, zero and a negative value.
Fig. 4 is a schematic diagram of speed and acceleration curves in the up-down process of the elevator in one embodiment of the invention; referring to fig. 4, in one embodiment of the present invention, the speed and acceleration of the elevator during the up and down movement are shown in fig. 4.
In an embodiment of the present invention, the step 3 includes the step S31: searching uplink and downlink areas of the equipment; the step S31 includes:
step S311, finding a median x1 corresponding to the acceleration data segment data as a third standard line in the acceleration curve graph, wherein x1+ e is a second standard line, and x1+ f is a first standard line; wherein e and f are set values; in one embodiment of the present invention, e =20 and f =160, the unit is LSB.
Step S312, if at least a set point (in an embodiment of the present invention, at least 10 points may be set) appears continuously between the first standard line and the second standard line, a peak or a trough is considered to appear there, and the first point and the last point of the continuous segment are denoted as a and B;
step S313, calculating corresponding slopes kA and kB for A, B, calculating d by using the similarity kA = (data [ A ] -x1)/d and kB = (x1-data [ B ])/d, and calculating that the wave crest or the wave trough should start from the point A before the point A and end at the point B after the point B; wherein data [ A ] represents the data value of point A, and d represents the number of points that are a distance from A, B; kA. kB is obtained by dividing the difference between the forward or backward ith point value of the point A and the point B and the point A and the point B by i, wherein i is a set value; in an embodiment of the present invention, i = 5;
step S314, after all wave crests and wave troughs are obtained, if two adjacent wave crests in the same direction appear, the two wave crests are determined to belong to two single uplink and downlink operation curves; if the number of the middle points in the continuous segment is greater than the two peaks of the stationary data segment with a set threshold (in an embodiment of the present invention, the set threshold may be 1500, but may also be other thresholds, such as 500, 2000, 3000, etc.), the two peaks are determined to belong to two single uplink and downlink operation curves, and the peak of one continuous data segment is combined with the adjacent one of the troughs located behind the peak.
Fig. 2 is a schematic diagram of acceleration curves and standard lines in the up-down process of an elevator in one embodiment of the invention; in an embodiment of the present invention, in step S31, the smoothed upward single acceleration curve of the elevator is shown in fig. 2, which shows the process of the elevator accelerating from a standstill to the positive X-axis direction, decelerating at a constant speed to the positive X-axis direction. The single acceleration curve for the downward run approximates the curve flipped up and down from fig. 2. In order to find the uplink and downlink single-time operation curves in the continuous data segment, the upward or downward wave peak needs to be found, and then the two rules are utilized to combine the wave peaks. Taking an upward peak as an example, the median x1 of the data segment is first found as the standard line 3 in FIG. 2, x1+20 LSB is line 2, and x1+160 LSB is standard line 1. If there are more than 10 consecutive points between the standard lines 1 and 2, an upward wave is considered to occur there, noting that the first point of this consecutive segment is a and the last point is B. Then, the slope kA and kB are obtained for the points A and B, and the similarity kA = (data [ A ] -x1)/d and kB = (x1-data [ B ])/d are used for obtaining d, so that the peak should start from the point A before the point A and end at the point B after the point B. Where data [ A ] represents the data value for point A and d represents the number of points a distance from A, B. kA, kB can be obtained by dividing the difference between the value of the 5 th point forward or backward from the point a, B and the point a, B by 5. After all wave crests are found out in the mode, two adjacent wave crests in the same direction are determined to belong to two single uplink and downlink operation curves according to the rule, two end wave crests of a stable data section with the number of points larger than 1500 are determined to belong to two single uplink and downlink operation curves, and wave crests of a continuous data section are combined in pairs to identify most data sections. But there is also a data error in the continuous data segment, such as considering that two peaks of a segment of the uplink and downlink curve are in the same direction. In this case, the first peak is discarded as default data, and the second peak is combined with the following peak.
FIG. 7 is a schematic diagram of uplink region segmentation in an embodiment of the present invention; referring to fig. 7, in an embodiment of the present invention, the step 3 includes a step S32: segmenting the uplink and downlink running process of the equipment; the step S32 includes:
step S321: calculating the acceleration of each point of the corresponding area in one uplink or downlink operation action;
step S322: identifying and calculating all area sections with jerk values smaller than a set value on an acceleration curve time axis corresponding to one operation action, and filtering the start area section and the stop area section to obtain 3 area sections which are respectively a uniform acceleration section, a uniform velocity section and a uniform deceleration section;
step S323: dividing the whole area into 7 sections according to the area section obtained in the step S322, and sequentially forming an acceleration increasing section, a uniform acceleration increasing section, an acceleration reducing section, a uniform speed section, an acceleration and deceleration section, a uniform deceleration section and a deceleration reducing section; the acceleration section is an acceleration time period in which acceleration is increased, the deceleration section is an acceleration time period in which acceleration is decreased, the uniform acceleration section is an acceleration time period in which acceleration is not changed, the acceleration section is a deceleration time period in which acceleration is increased, and the deceleration section is a deceleration time period in which acceleration is decreased.
In one embodiment of the present invention, the marked points are all regions with jerk values less than 0.05m/s2, and fig. 6 and 7 are data curves after low pass filtering.
In an embodiment of the present invention, in step S32, it is determined whether the uplink or downlink mode of the device is the uplink or downlink mode; if the initial change direction of the acceleration signal of the one-time operation is the same as the acceleration direction when the equipment is static, the equipment is judged to be in an uplink state, otherwise, the equipment is judged to be in a downlink state.
In summary, the device operation process segmentation method provided by the present invention can analyze the device operation process according to the acceleration data in the device operation process to obtain each stage of the device operation and the acceleration data of each stage; so that the different characteristics of each stage can be followed for identification and judgment.
The method can be used for judging the abnormal operation of the equipment, can acquire the acceleration data of the equipment (such as an elevator) according to the operation condition of the equipment, and can judge whether the equipment (such as the elevator) operates in an abnormal condition (such as the time for opening and closing the door is prolonged because the door is blocked by foreign matters) according to the acceleration data.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The description and applications of the invention herein are illustrative and are not intended to limit the scope of the invention to the embodiments described above. Variations and modifications of the embodiments disclosed herein are possible, and alternative and equivalent various components of the embodiments will be apparent to those skilled in the art. It will be clear to those skilled in the art that the present invention may be embodied in other forms, structures, arrangements, proportions, and with other components, materials, and parts, without departing from the spirit or essential characteristics thereof. Other variations and modifications of the embodiments disclosed herein may be made without departing from the scope and spirit of the invention.
Claims (8)
1. A device operation process segmentation method is characterized by comprising the following steps:
step 1, acquiring acceleration data of equipment running in a set direction;
step 2, acquiring acceleration data of one operation action according to the acceleration data acquired in the set direction to form an acceleration data area corresponding to the operation action;
step 3, dividing an acceleration data area of one action into a plurality of segments according to the acceleration data in the acceleration data area of the action; the method specifically comprises the following steps:
acquiring an area with the acceleration rate of change lower than a set value in an acceleration data area as a segmentation area, and generating one or two segmentation nodes in one segmentation area; two end points of an acceleration data area of one action are also respectively used as segmentation nodes;
according to the obtained plurality of segmentation nodes, taking the area between the adjacent segmentation nodes as a segmentation so as to form a plurality of segments;
the step 3 includes the step 31: searching a door opening and closing area of the equipment; the step 31 comprises:
step 311: finding out wave crests and wave troughs in all acceleration signal curves of a set shaft, finding out wave crests and wave troughs of which the distance between the wave crests and the wave troughs is less than a set number of sampling points, taking the corresponding wave crests, wave troughs and acceleration signals between the wave crests and the wave troughs as partial data in a one-time door opening or closing combination, and taking the partial data as a first batch of acceleration signals; the combination of the door opening is wave crest-wave trough or wave trough-wave crest, and the combination of the door closing is wave trough-wave crest or wave crest-wave trough;
step 312: calculating a median y of signal values of the first group of acceleration signals, taking the median y as a third standard line, making a first standard line with the value of y + c parallel to a time axis, a second standard line with the value of y + d, a fourth standard line with the value of y-d, and a fifth standard line with the value of y-c, wherein the first standard line and the fifth standard line are used for filtering extreme points; determining the starting point of a wave crest through a second standard line, taking N points forward as a door opening starting point, determining the end point of a wave trough through a fourth standard line, and taking M points backward as a door closing end point; the area from the door opening starting point to the door closing end point is a temporary door opening and closing area; the N points comprise signal values in a short time before the door is opened, and the M points comprise signal points in a short time after the door is closed; wherein c and d are set values.
2. The device operation process segmentation method according to claim 1, characterized in that:
in step 3, two segment nodes are generated in one segment area, and the segment nodes are generated at both ends of the segment area.
3. The device operation process segmentation method according to claim 1, characterized in that:
in the step 3, a data smoothing processing step is further included, in which the data is smoothed by low-pass filtering, so that fluctuation of the acquired acceleration data is eliminated.
4. The device operation process segmentation method according to claim 1, characterized in that:
in the step 3, wave crests and wave troughs in an acceleration signal curve in an acceleration data area are obtained; simultaneously acquiring acceleration data sections with acceleration data smaller than a set threshold in the acceleration data area, wherein one acceleration data section is used as a segmented node;
each peak, each valley and each acceleration data section of the acquired acceleration signal are taken as segmented nodes, and data between adjacent nodes is taken as segmented data of the acceleration data.
5. The device operation process segmentation method according to claim 1, characterized in that:
said step 31 further comprises a step 313: because the device door is re-opened, the temporary door opening and closing area obtained in step 32 is not necessarily a complete one-time door opening and complete closing process, and all the temporary door opening and closing areas are combined together to obtain a real door opening and closing area.
6. The plant operation process segmentation method according to claim 1 or 5, characterized in that:
the step 3 includes the step 32: segmenting the operation process of opening and closing the door of the equipment; the step 32 comprises:
step 321: calculating the acceleration of each point in the door opening and closing operation area of the equipment;
step 322: identifying and calculating all the area sections with the jerk value smaller than the set value on the time axis to obtain a plurality of area sections, including: the system comprises a gantry crane starting area, a plurality of acceleration change interval areas and a gantry crane stopping area; the acceleration change interval areas at least comprise a first acceleration change interval area and a second acceleration change interval area, and intersection points are formed between curves between the first acceleration change interval area and the second acceleration change interval area and an acceleration median line;
step 323: and dividing the whole operation curve into a plurality of sections according to the gantry crane starting area, the gantry crane stopping area, the plurality of jerk change interval areas and the intersection obtained in the step 322.
7. The device operation process segmentation method according to claim 1, characterized in that:
the step 3 includes a step S31: searching uplink and downlink areas of the equipment; the step S31 includes:
step S311, finding a median x1 corresponding to the acceleration data segment data as a third standard line in the acceleration curve graph, wherein x1+ e is a second standard line, and x1+ f is a first standard line; wherein e and f are set values;
step S312, if at least one continuous set point appears between the first standard line and the second standard line, a peak or a trough is considered to appear at the point, the first point of the continuous section is marked as A, and the last point is marked as B;
step S313, calculating corresponding slopes kA and kB for A, B, calculating d by using the similarity kA = (data [ A ] -x1)/d and kB = (x1-data [ B ])/d, and calculating that the wave crest or the wave trough should start from the point A before the point A and end at the point B after the point B; wherein data [ A ] represents the data value of point A, and d represents the number of points that are a distance from A, B; kA. kB is obtained by dividing the difference between the forward or backward ith point value of the point A and the point B and the point A and the point B by i, wherein i is a set value;
step S314, after all wave crests and wave troughs are obtained, if two adjacent wave crests in the same direction appear, the two wave crests are determined to belong to two single uplink and downlink operation curves; if the number of the middle points of the continuous section is larger than two sections of wave crests of the stable data section with a set threshold value, the wave crests of one continuous data section are determined to belong to two single uplink and downlink operation curves, and the adjacent wave crests and the wave troughs which are positioned behind the continuous data section are combined.
8. The plant operation process segmentation method according to claim 1 or 7, characterized in that:
the step 3 includes a step S32: segmenting the uplink and downlink running process of the equipment; the step S32 includes:
step S321: calculating the acceleration of each point of the corresponding area in one uplink or downlink operation action;
step S322: identifying and calculating all area sections with jerk values smaller than a set value on an acceleration curve time axis corresponding to one operation action, and filtering the start area section and the stop area section to obtain 3 area sections which are respectively a uniform acceleration section, a uniform velocity section and a uniform deceleration section;
step S323: dividing the whole area into 7 sections according to the area section obtained in the step S322, and sequentially forming an acceleration increasing section, a uniform acceleration increasing section, an acceleration reducing section, a uniform speed section, an acceleration and deceleration section, a uniform deceleration section and a deceleration reducing section; the acceleration section is an acceleration time period in which acceleration is increased, the deceleration section is an acceleration time period in which acceleration is decreased, the uniform acceleration section is an acceleration time period in which acceleration is not changed, the acceleration section is a deceleration time period in which acceleration is increased, and the deceleration section is a deceleration time period in which acceleration is decreased.
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| CN111222429B (en) * | 2019-12-27 | 2023-08-29 | 猫岐智能科技（上海）有限公司 | Equipment fault recognition system |
| CN113401758B (en) * | 2021-06-28 | 2023-02-17 | 广州鲁邦通物联网科技股份有限公司 | Elevator door opening and closing fault detection method |
| CN113591376B (en) * | 2021-07-23 | 2023-07-14 | 广州新科佳都科技有限公司 | Platform door anomaly detection method and device based on curve association segmentation mechanism |
| CN115123901A (en) * | 2022-07-15 | 2022-09-30 | 菱王电梯有限公司 | Door closing control method and device, storage medium and elevator door system |
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