CN111170110B - Elevator data processing method, device, computer equipment and storage medium - Google Patents

Elevator data processing method, device, computer equipment and storage medium Download PDF

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CN111170110B
CN111170110B CN202010126583.8A CN202010126583A CN111170110B CN 111170110 B CN111170110 B CN 111170110B CN 202010126583 A CN202010126583 A CN 202010126583A CN 111170110 B CN111170110 B CN 111170110B
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target
current
data set
elevator
associated data
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CN111170110A (en
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杨明
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Shenzhen General Interconnection Technology Co ltd
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Shenzhen General Interconnection Technology Co ltd
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66BELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B5/00Applications of checking, fault-correcting, or safety devices in elevators
    • B66B5/0006Monitoring devices or performance analysers
    • B66B5/0037Performance analysers

Abstract

The application relates to an elevator data processing method, an elevator data processing device, a computer device and a storage medium. The method comprises the following steps: acquiring a current operation data set corresponding to a target elevator, wherein the current operation data in the current operation data set carries a timestamp, and the timestamp is added through a communication module of a sensor corresponding to the target elevator; associating the current operating data in the current operating data set according to the timestamp to obtain a target operating associated data set corresponding to the current operating data set; generating an uplink running curve and a downlink running curve of the target elevator according to the target running associated data set; and determining the balance coefficient of the target elevator according to the uplink running curve and the downlink running curve, and determining the current running state of the target elevator according to the balance coefficient. By adopting the method, the detection efficiency and accuracy of the elevator balance coefficient can be improved.

Description

Elevator data processing method, device, computer equipment and storage medium
Technical Field
The application relates to the technical field of internet of things, in particular to an elevator data processing method, an elevator data processing device, computer equipment and a storage medium.
Background
With the continuous development of society, elevators are increasingly deep into the daily life of people, and the safety and the reliability of the elevators also become the problems of general attention of people. The balance coefficient of the elevator is an important performance index of the traction drive type elevator, and a car and a counterweight of the traction drive type elevator are respectively suspended on two sides of a traction sheave through steel wire ropes. The counterweight can partially balance the load in the lift car and the lift car, so that the load of the traction motor during operation is reduced. Because the load in the elevator car is changed frequently, and the counterweight is fixed after the elevator is installed and debugged, the counterweight cannot be changed at any time, and a proper balance coefficient is selected to ensure that the operation of the elevator is basically close to an ideal balance state.
At present, the balance coefficient of elevator is usually by the maintenance personnel when overhauing the elevator regularly, through stopping the elevator, the artifical weight of carrying different weight to elevator, and many people cooperate the detection to obtain, need consume a large amount of manpowers and time, and detection efficiency is low.
Disclosure of Invention
In view of the above, it is desirable to provide an elevator data processing method, an apparatus, a computer device, and a storage medium capable of improving the efficiency of detecting the elevator balance coefficient.
An elevator data processing method, the method comprising:
acquiring a current operation data set corresponding to a target elevator, wherein the current operation data in the current operation data set carries a timestamp, and the timestamp is added through a communication module of a sensor corresponding to the target elevator;
associating the current operating data in the current operating data set according to the timestamp to obtain a target operating associated data set corresponding to the current operating data set;
generating an uplink running curve and a downlink running curve of the target elevator according to the target running associated data set;
and determining the balance coefficient of the target elevator according to the uplink running curve and the downlink running curve, and determining the current running state of the target elevator according to the balance coefficient.
In one embodiment, before obtaining the current operation data set corresponding to the target elevator, the method further comprises:
receiving current operation data uploaded by a sensor corresponding to a target elevator;
analyzing the current operating data to obtain a timestamp of the current operating data;
and storing the current operation data into a database according to the time stamp of the current operation data.
In one embodiment, the obtaining of the target operation associated data set corresponding to the current operation data set by associating the current operation data in the current operation data set according to the timestamp includes:
acquiring a running distance;
when the running distance is equal to the distance threshold, determining the running distance as a target distance;
and determining a target operation associated data set according to the time stamp of the target distance.
In one embodiment, determining the target operation associated data set according to the timestamp of the target distance includes:
acquiring a timestamp of the target distance;
acquiring a timestamp of the operating voltage and a timestamp of the operating current;
the operating voltage and the operating current with the same timestamp as the target distance are taken as operating associated data and are classified into the same operating associated data set, so that a plurality of operating associated data sets corresponding to different timestamps are obtained;
verifying the effectiveness of each operation associated data set, and forming a target operation associated data set by the verified operation associated data sets.
In one embodiment, verifying the validity of each running associated data set comprises:
acquiring a timestamp, an effective duration and a receiving time of each operation associated data in each operation associated data set;
respectively calculating the effective time of each operation associated data in each operation associated data set according to the timestamp and the effective time of each operation associated data in each operation associated data set;
and when the effective time of at least one operation associated data in the first operation associated data set is less than the corresponding receiving time, determining that the first operation associated data set passes the validity verification, wherein the first operation associated data set is at least one of the operation associated data sets.
In one embodiment, generating the up-going operating curve and the down-going operating curve of the target elevator according to the target operation-related data set comprises:
acquiring an operation data table template;
importing the target operation associated data set into an operation data table template to obtain a target operation data table;
and generating an uplink operation curve and a downlink operation curve according to the target operation data table.
In one embodiment, determining a balance coefficient of the target elevator according to the upward traveling curve and the downward traveling curve, and determining a current operating state of the target elevator according to the balance coefficient includes:
acquiring an intersection point of an uplink operating curve and a downlink operating curve;
determining a balance coefficient corresponding to the target elevator according to the intersection point;
when the balance coefficient is within the preset threshold range, determining that the current running state of the target elevator is a safe state;
and when the balance coefficient is not in the preset threshold range, determining that the current running state of the target elevator is an abnormal state.
An elevator data processing apparatus, the apparatus comprising:
the operation data acquisition module is used for acquiring a current operation data set corresponding to the target elevator, wherein the current operation data in the current operation data set carries a timestamp, and the timestamp is added through a communication module of a sensor corresponding to the target elevator;
the associated data determining module is used for associating the current operating data in the current operating data set according to the timestamp to obtain a target operating associated data set corresponding to the current operating data set;
the curve generation module is used for generating an uplink running curve and a downlink running curve of the target elevator according to the target running associated data set;
and the state determining module is used for determining the balance coefficient of the target elevator according to the uplink running curve and the downlink running curve and determining the current running state of the target elevator according to the balance coefficient.
A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
acquiring a current operation data set corresponding to a target elevator, wherein the current operation data in the current operation data set carries a timestamp, and the timestamp is added through a communication module of a sensor corresponding to the target elevator;
associating the current operating data in the current operating data set according to the timestamp to obtain a target operating associated data set corresponding to the current operating data set;
generating an uplink running curve and a downlink running curve of the target elevator according to the target running associated data set;
and determining the balance coefficient of the target elevator according to the uplink running curve and the downlink running curve, and determining the current running state of the target elevator according to the balance coefficient.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
acquiring a current operation data set corresponding to a target elevator, wherein the current operation data in the current operation data set carries a timestamp, and the timestamp is added through a communication module of a sensor corresponding to the target elevator;
associating the current operating data in the current operating data set according to the timestamp to obtain a target operating associated data set corresponding to the current operating data set;
generating an uplink running curve and a downlink running curve of the target elevator according to the target running associated data set;
and determining the balance coefficient of the target elevator according to the uplink running curve and the downlink running curve, and determining the current running state of the target elevator according to the balance coefficient.
According to the elevator data processing method, the elevator data processing device, the computer equipment and the storage medium, the current operation data set corresponding to the target elevator is obtained, the current operation data in the current operation data set carries the timestamp, and the timestamp is added through the communication module of the sensor corresponding to the target elevator; associating the current operating data in the current operating data set according to the timestamp to obtain a target operating associated data set corresponding to the current operating data set; generating an uplink running curve and a downlink running curve of the target elevator according to the target running associated data set; and determining the balance coefficient of the target elevator according to the uplink running curve and the downlink running curve, and determining the current running state of the target elevator according to the balance coefficient. Because the current operation data set comprises current operation data corresponding to a plurality of moments in the current time period of the target elevator, the balance coefficient of the target elevator is detected by acquiring the current operation data set of the target elevator, the real-time automatic detection of the balance coefficient of the elevator can be realized, and the detection efficiency of the balance coefficient of the elevator is improved. In addition, the timestamp of current operation data is added by the communication module of sensor, can accurately discern the operation data that a plurality of sensors gathered at same time according to the timestamp of current operation data, and then can improve elevator balance coefficient and detect the rate of accuracy.
Drawings
Fig. 1 is a diagram of an application environment of an elevator data processing method in one embodiment;
fig. 2 is a flow diagram of an elevator data processing method according to an embodiment;
FIG. 3 is a flow diagram that illustrates the determination of a target operational association data set, under an embodiment;
FIG. 4 is a schematic diagram illustrating a process for verifying the validity of each run-associated data set in accordance with another embodiment;
fig. 5 is a flow diagram of an elevator data processing method in another embodiment;
fig. 5A is a schematic diagram of an elevator up run curve and down run curve in one embodiment;
fig. 6 is a block diagram showing the construction of an elevator data processing apparatus according to an embodiment;
fig. 7 is a block diagram showing the construction of an elevator data processing apparatus in another embodiment;
FIG. 8 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The elevator data processing method provided by the application can be applied to the application environment shown in figure 1. The application environment includes a target elevator 102, sensors within the target elevator, and a server 104. The target elevator 102 and the sensor can communicate with each other in a wired or wireless manner, and the sensor is used for collecting operation data of the target elevator 102. The target elevator 102 communicates with the server 104 over the network through internal sensors over the network. The sensors may send the collected data to the server 104.
Specifically, the sensor can acquire the current operation data of the target elevator 102 in real time, and add a timestamp to the operation data through the communication module of the sensor to mark the acquisition time of the operation data. The sensors then send the collected operational data to the server 104. The server 104 can receive the operational data of the target elevator 102 sent by the sensors and can store the operational data. The server 104 obtains a current operation data set corresponding to the target elevator, associates current operation data in the current operation data set according to a time stamp of the operation data in the current operation data set, and determines a target operation associated data set corresponding to the current operation data set. The server 104 may generate an uplink operation curve and a downlink operation curve of the target elevator according to the target operation related data set, determine a balance coefficient of the target elevator according to the uplink operation curve and the downlink operation curve, and determine a current operation state of the target elevator according to the balance coefficient. Wherein the target elevator 102 can be one elevator or a plurality of elevators. The sensors may be multiple, including various types of sensors, such as current sensors, voltage sensors, laser ranging sensors, etc., and the server 104 may be implemented as a stand-alone server or a server cluster composed of multiple servers.
The balance coefficient of the elevator is determined by recording the current value of the motor when the car and the counterweight move to the same horizontal position, and drawing a current-load rate curve and determining the intersection point of the upper operation curve and the lower operation curve.
In one embodiment, as shown in fig. 2, an elevator data processing method is provided, which is described by taking the example that the method is applied to the server in fig. 1, and comprises the following steps:
s202, acquiring a current operation data set corresponding to the target elevator, wherein the current operation data in the current operation data set carries a timestamp, and the timestamp is added through a communication module of a sensor corresponding to the target elevator.
Wherein the target elevator is an elevator installation which needs to detect the balance factor. For example, the target elevator may be a passenger elevator, a cargo elevator, a construction elevator, and the like. The current operation data refers to data generated when the elevator operates in the current time period, and includes the operation distance, the operation current and the operation voltage of the elevator. The current running data set refers to a set composed of current running data, and the running data in the current running data set may be ordered or unordered, for example, may be ordered according to time. The current time period refers to a time period in which the current time is. The time length of the time period of the current time can be set according to needs, for example, the current-day operation data of the target elevator can be obtained to form a current-day operation data set. The balancing coefficient of the elevator is detected from the current day running data set.
The travel distance of an elevator can be expressed in terms of the distance of the top of the elevator car from the top of the hoistway. The distance between the top of the elevator car and the top of the shaft can be detected by a laser ranging sensor placed on the top of the elevator car. The running current of the elevator is the current passing through a traction machine motor when the elevator runs and can be detected by a current sensor. For example, the operating current of an elevator is detected by clamping a current sensor to one of the input phases of the elevator machine motor. The operation voltage of the elevator is the output voltage of the weighing sensor when the elevator operates, and can be detected by the voltage sensor connected with the elevator weighing sensor. Because the weighing sensor outputs voltage, the voltage sensor detects the output voltage of the weighing sensor, and the actual load of the elevator can be calculated according to the detected output voltage. The calculation formula is as follows: g ═ k × U. Wherein, G represents the actual load of elevator, and U represents the operating voltage of elevator, and k is the constant, can carry out the custom setting according to different elevators. The load factor of the elevator can be calculated according to the actual load of the elevator and the rated load of the elevator.
The time stamp is a character string consisting of two characters of numbers and symbols and is used for uniquely identifying the receiving time of the data sent by the acquisition module received by the communication module of the sensor.
The current operating data includes data collected by a plurality of sensors. Because, the collection module of sensor is when gathering data, can not record corresponding time stamp. If the time of the data arriving at the server is taken as the data acquisition time, the data arriving at the server from different communication modules will pass through different computer nodes, so the time of the data arriving at the server is taken as the data acquisition time, and the data acquired by a plurality of sensors at the same time cannot be accurately identified. Therefore, the communication module of the sensor adds a time stamp to the collected data. In one embodiment, a plurality of sensors that the target elevator corresponds all are the loRa sensor, and the time that the collection module of loRa sensor will gather data transmission to communication module is fixed, consequently can accurately discern the collection time that the sensor gathered data according to the time stamp.
In one embodiment, the timing of the communication modules of each sensor is time synchronized with the server, ensuring that the communication modules of each sensor are on the same time reference when the time stamp is added.
Specifically, the server obtains a current operation data set corresponding to the current time period of the target elevator from the database.
In one embodiment, the server may receive an elevator detection request carrying an electronic device identification of a target elevator. And then, the server acquires a current operation data set corresponding to the current time period of the target elevator according to the elevator detection request.
In one embodiment, the electronic device identification and the sensor identification are stored in association in a database of the server. Therefore, the sensor identifier corresponding to the electronic equipment identifier can be found according to the electronic equipment identifier of the target elevator. And then the operating data corresponding to the sensor identifier can be found according to the sensor identifier.
And S204, associating the current operation data in the current operation data set according to the time stamp to obtain a target operation associated data set corresponding to the current operation data set.
Specifically, the current operation data set includes multiple types of current operation data at multiple times, and the various types of current operation data are detected by different sensors, so that the current operation data with the same timestamp needs to be subjected to data association according to the timestamp of the current operation data, and a target operation associated data set corresponding to the current operation data set is obtained. The target operation associated data set comprises operation associated data sets corresponding to a plurality of different timestamps. The operation-related data set corresponding to a time stamp includes various current operation data corresponding to the time stamp, and it is understood that the various current operation data are collected by a plurality of sensors at the same time.
In one embodiment, the current operating data includes operating distance, operating current, and operating voltage. The current operating data set includes operating distances, operating currents, and operating voltages for a plurality of times. When the counterweight of the target elevator is at the same level with the car, the distance L between the top of the car and the top of the shaft can be obtained through the historical test data of the target elevator0. When the traveling distance L of the target elevatortIs equal to L0Is shown at running distance LtAt the corresponding point in time, the counterweight of the target elevator is at the same level as the car. According to the travel distance LtTime stamp of (2), time stamp and travel distance LtThe operating current and the operating voltage with the same timestamp are correlated to obtain an operating correlation data set. The running distance corresponding to a plurality of times in the current running data set is equal to L0Thus, multiple sets of operational association data may be obtained. Further, the operational data in the current operational data set may be sorted by time. Suppose LtData of previous time point is Lt-1The data at the latter time point is Lt+1. When L ist+1-Lt-1>And when 0, the target elevator runs downwards and is in a descending state. When L ist+1-Lt-1>And when 0, the target elevator runs upwards and is in an ascending state. Therefore, the up-down running state of the elevator can be judged according to the running distance. Further, it may be determined whether the operating current in the set of operating related data is an up current or a down current. The up current is the corresponding running current when the target elevator is in an up state. The descending current refers to the current corresponding to the target elevator in the descending state.
And S206, generating an ascending operation curve and a descending operation curve of the target elevator according to the target operation associated data set.
The ascending operation curve is a curve reflecting that the operation current changes along with the change of the load factor when the target elevator is in an ascending state. The downward running curve is a curve reflecting that the running current changes along with the change of the load factor when the target elevator is in a downward state.
Specifically, the target operation associated data set includes operation associated data sets corresponding to a plurality of different timestamps. The operation-related data set includes an operation current and an operation voltage. The operation related data set may be divided into an uplink operation related data set and a downlink operation related data set according to whether the operation current is an uplink current or a downlink current. The load factor of the target elevator can be calculated according to the running voltage. Therefore, the ascending running curve and the descending running curve of the target elevator can be generated according to the load factor and the running current of the target elevator corresponding to the plurality of different time stamps.
And S208, determining the balance coefficient of the target elevator according to the uplink running curve and the downlink running curve, and determining the current running state of the target elevator according to the balance coefficient.
Specifically, the server obtains coordinates corresponding to an intersection point of the uplink running curve and the downlink running curve, and determines the load rate of the target elevator corresponding to the intersection point according to the coordinates of the intersection point, wherein the load rate is the balance coefficient. And when the balance coefficient is within the preset threshold range, determining the running state of the target elevator as a safe state. And when the balance coefficient is not in the preset threshold range, determining the running state of the target elevator as an abnormal state. The preset threshold range may be set according to national standards of elevators. The national standard stipulates that the balance coefficient of the traction type elevator is within the range of 0.4-0.5. Different preset threshold ranges can also be set according to different elevator models. The specific preset threshold ranges corresponding to different elevator models can be set by the manufacturer of the elevator or by the maintainer of the elevator. When the running state of the target elevator is an abnormal state, the counterweight of the target elevator is unreasonably arranged, potential safety hazards exist, the counterweight of the target elevator is timely adjusted, and the balance coefficient of the target elevator is adjusted to be within a preset threshold range. Therefore, when the running state of the target elevator is an abnormal state, the server can generate alarm information according to the electronic equipment identifier of the target elevator and send the alarm information to the preset terminal. And after receiving the alarm information, the preset terminal displays the electronic equipment identifier of the target elevator corresponding to the alarm information and carries out alarm prompt. The alarm prompt may be a preset prompt sound or a vibration prompt, or may be in other manners, which is not limited in this application.
In one embodiment, after the server generates the alarm information, the server can also send the alarm information to a terminal corresponding to a maintenance worker, and the terminal corresponding to the maintenance worker can display the alarm information and give an alarm prompt, so that the maintenance worker can know the abnormal condition of the elevator in time and repair the elevator.
In one embodiment, the alarm information can also comprise the geographical position information of the elevator, so that maintenance personnel can confirm the geographical position of the abnormal elevator in time to carry out emergency repair on the elevator.
In the elevator data processing method, a current operation data set corresponding to a target elevator is obtained, current operation data in the current operation data set carries a timestamp, and the timestamp is added through a communication module of a sensor corresponding to the target elevator; associating the current operating data in the current operating data set according to the timestamp to obtain a target operating associated data set corresponding to the current operating data set; generating an uplink running curve and a downlink running curve of the target elevator according to the target running associated data set; and determining the balance coefficient of the target elevator according to the uplink running curve and the downlink running curve, and determining the current running state of the target elevator according to the balance coefficient. Because the current operation data set comprises current operation data corresponding to a plurality of moments in the current time period of the target elevator, the balance coefficient of the target elevator is detected by acquiring the current operation data set of the target elevator, the real-time automatic detection of the balance coefficient of the elevator can be realized, and the detection efficiency of the balance coefficient of the elevator is improved. In addition, the timestamp of current operation data is added by the communication module of sensor, can accurately discern the operation data that a plurality of sensors gathered at same time according to the timestamp of current operation data, and then can improve elevator balance coefficient and detect the rate of accuracy.
In one embodiment, before step S202, the method further includes: receiving current operation data uploaded by a sensor corresponding to a target elevator; analyzing the current operating data to obtain a timestamp of the current operating data; and storing the current operation data into a database according to the time stamp of the current operation data.
Specifically, the server receives current operation data uploaded by a plurality of sensors corresponding to the target elevator. The current running data carries a timestamp. And the server analyzes the current operation data to obtain the time stamp of the current operation data. And then, the server stores the current operation data into the database by taking the time stamp as a key word.
In one embodiment, a plurality of sensors of the target elevator each collect operational data of the target elevator. The acquisition module of each sensor sends the operation data who gathers to the communication module of each sensor. And the communication module of each sensor adds a time stamp to the operation data by using the receiving time of the operation data. And then, the communication module of each sensor passes through loRa transport protocol and sends operation data to the loRa gateway, and the loRa gateway sends current operation data to the server again. The server analyzes the received operation data, extracts the time stamp of the operation data, and then stores the operation data into the database by taking the time stamp as a keyword. The LoRa transmission protocol is a low-power-consumption wireless transmission protocol suitable for the Internet of things.
In one embodiment, to improve the security and reliability of data, the LoRa transport protocol provides data encryption services. The communication module of sensor sends the operation data to the loRa gateway after encrypting and encoding. And the LoRa gateway decodes and decrypts the received operation data and then sends the operation data to the server.
In one embodiment, the sensor and server may also agree on a key for encryption and decryption. The communication module of sensor sends the operation data to the loRa gateway after encrypting and encoding. And the LoRa gateway sends the operation data to the server, and the server decodes the operation data and then decrypts the operation data based on the appointed decryption key.
In the embodiment, the current operation data uploaded by the sensor corresponding to the target elevator is received; analyzing the current operating data to obtain a timestamp of the current operating data; and storing the current operation data into a database according to the time stamp of the current operation data. Therefore, the database stores the corresponding relation between the current operation data and the timestamp of the current operation data, and the corresponding operation data can be conveniently and quickly found according to the timestamp.
As shown in fig. 3, in an embodiment, the current operation data includes an operation voltage, an operation current, and an operation distance, and the step S204 specifically includes:
s302, acquiring a running distance.
S304, when the running distance is equal to the distance threshold value, determining that the running distance is the target distance.
The distance threshold value is the distance between the top of the car and the top of the shaft when the counterweight of the target elevator and the car are at the same horizontal position.
Specifically, the current run data set includes a plurality of run distances. When the travel distance is equal to the distance threshold, the travel distance is taken as the target distance.
S306, determining a target operation associated data set according to the time stamp of the target distance.
The server acquires a timestamp of the target distance; acquiring a timestamp of the operating voltage and a timestamp of the operating current; the operating voltage and the operating current with the same timestamp as the target distance are taken as operating associated data and are classified into the same operating associated data set, so that a plurality of operating associated data sets corresponding to different timestamps are obtained; verifying the effectiveness of each operation associated data set, and forming a target operation associated data set by the verified operation associated data sets.
Specifically, the current operation data set comprises operation data of multiple up-and-down operations of the target elevator in the current time period, so that multiple target distances can be determined according to the operation distances in the current operation data set, and the time stamps of the target distances are different. According to the time stamp of a target distance, the operating voltage and the operating current with the same time stamp as the time stamp of the target distance can be used as the operating associated data to form an operating associated data set. That is, when the target elevator runs to a position where the counterweight and the car are at the same level, the running voltage and the running current collected at that point in time are correlated. And determining the running associated data set corresponding to the time stamp of each target distance according to the time stamp of each target distance. And the server verifies the validity of each operation associated data set and forms the verified operation associated data sets into a target operation associated data set.
In one embodiment, validating the running associated data set requires validating each piece of data in the running associated data set. The server can set the effective duration of data uploading of each sensor. The validity of the data can be verified according to whether the data uploaded by the sensor exceeds the corresponding valid duration, and the verification can be judged to be passed when the data uploaded by the sensor does not exceed the corresponding valid duration.
In the above embodiment, in order to determine the balance coefficient of the target elevator, a plurality of target distances are screened out according to whether the travel distance in the current travel data set is equal to the distance threshold. And determining a plurality of running associated data sets corresponding to different timestamps according to the timestamp of each target distance, and forming the running associated data sets passing the validity verification into a target running associated data set. And the validity of the operation associated data set is verified, so that the influence of the overdue operation associated data set on the detection accuracy of the elevator balance coefficient is prevented.
As shown in FIG. 4, in one embodiment, verifying the validity of each running associated data set includes:
s402, obtaining the time stamp, the effective duration and the receiving time of each operation associated data in each operation associated data set.
S404, respectively calculating the effective time of each operation associated data in each operation associated data set according to the time stamp and the effective time of each operation associated data in each operation associated data set.
S406, when the valid time of at least one operation associated data in the first operation associated data set is less than the corresponding receiving time, determining that the first operation associated data set passes validity verification, wherein the first operation associated data set is at least one of the operation associated data sets.
Specifically, the server acquires a time stamp, an effective time length, and a reception time of each operation related data. And calculating the effective time of each operation associated data according to the timestamp and the effective time of each operation associated data. When the receiving time of one operation associated data is less than or equal to the effective time of the operation associated data, the operation associated data is not uploaded to the server overtime, and the operation associated data is effective data. When the receiving time of one operation associated data is longer than the valid time of the operation associated data, the operation associated data is uploaded to the server overtime, and the operation associated data is invalid data. And when at least one operation associated data in one operation associated data set is invalid data, determining that the operation associated data set is an invalid set. And the server performs validity verification on each operation associated data set, and the operation associated data sets passing the validity verification form a target operation associated data set.
In the embodiment, the validity verification is carried out on each operation related data set, so that the data in the target operation related data set can be guaranteed to be valid data, the balance coefficient of the target elevator is determined by the server according to the valid target operation related data set, and the accuracy of the balance coefficient is guaranteed.
In one embodiment, step S206 specifically includes: acquiring an operation data table template; importing the target operation associated data set into an operation data table template to obtain a target operation data table; and generating an uplink operation curve and a downlink operation curve according to the target operation data table.
The operation data table template is a table with a fixed format and is used for generating an uplink operation curve and a downlink operation curve.
Specifically, the server stores therein an operation data table template. And the server acquires the operation data table template and imports the target operation associated data set into the operation data table template to obtain a target operation data table. The target operation data table includes a plurality of uplink currents and load rates corresponding to the respective uplink currents, and a plurality of downlink currents and load rates corresponding to the respective downlink currents. The load factor can be calculated from the operating voltage. An uplink operation curve can be drawn according to the load factors corresponding to the uplink current and the uplink current, and a downlink operation curve can be drawn according to the load factors corresponding to the downlink current and the downlink current. The up-running curve and the down-running curve may be plotted in the same graph.
In the above embodiment, the uplink operation curve and the downlink operation curve can be generated quickly by operating the data table template.
As shown in fig. 5, in a specific embodiment, the elevator data processing method includes the following steps:
and S502, receiving current operation data uploaded by a sensor corresponding to the target elevator.
And S504, analyzing the current operation data to obtain a time stamp of the current operation data, wherein the time stamp is added through a communication module of a sensor corresponding to the target elevator.
And S506, storing the current operation data into a database according to the time stamp of the current operation data.
And S508, acquiring a current operation data set corresponding to the target elevator, wherein the current operation data in the current operation data set comprises operation voltage, operation current and operation distance.
And S510, acquiring the running distance.
And S512, when the running distance is equal to the distance threshold value, determining the running distance as the target distance.
And S514, acquiring the time stamp of the target distance.
And S516, acquiring a time stamp of the operating voltage and acquiring a time stamp of the operating current.
And S518, taking the operating voltage and the operating current with the same timestamp as the target distance timestamp as operating associated data and classifying the operating voltage and the operating current into the same operating associated data set to obtain a plurality of operating associated data sets corresponding to different timestamps.
S520, obtaining the time stamp, the effective duration and the receiving time of each operation associated data in each operation associated data set.
And S522, respectively calculating the effective time of each operation associated data in each operation associated data set according to the timestamp and the effective time of each operation associated data in each operation associated data set.
S524, when the valid time of at least one operation related data in the first operation related data set is less than the corresponding receiving time, determining that the first operation related data set is valid and verified, where the first operation related data set is at least one of the operation related data sets.
And S526, forming the verified operation associated data set into a target operation associated data set.
And S528, acquiring the operation data table template.
S530, importing the target operation associated data set into an operation data table template to obtain a target operation data table.
And S532, generating an uplink operation curve and a downlink operation curve according to the target operation data table.
And S534, acquiring the intersection point of the uplink operating curve and the downlink operating curve.
And S536, determining the balance coefficient corresponding to the target elevator according to the intersection point.
And S538, when the balance coefficient is within the preset threshold range, determining the current running state of the target elevator to be a safe state.
And S540, when the balance coefficient is not in the preset threshold range, determining that the current running state of the target elevator is an abnormal state.
In one embodiment, the target operation data table obtained by importing the target operation-related data set of the elevator a into the operation data table template may be as shown in table 1. The up and down operating curves plotted according to table 1 may be as shown in fig. 5A. The preset threshold range is assumed to be 0.4-0.5. As can be seen from fig. 5A, the load factor corresponding to the intersection point of the upward running curve and the downward running curve is between 40% and 50% and within the preset threshold range, and therefore, the running state of the elevator a is a normal state.
TABLE 1
Figure BDA0002394565060000151
It should be understood that the steps in the above-described flowcharts are shown in order as indicated by the arrows, but the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in the above-described flowcharts may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the sub-steps or the stages is not necessarily sequential, but may be performed alternately or alternatingly with other steps or at least a portion of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 6, there is provided an elevator data processing apparatus including: an operational data acquisition module 602, an associated data determination module 604, a curve generation module 606, and a state determination module 608, wherein:
and the operation data acquisition module 602 is configured to acquire a current operation data set corresponding to the target elevator, where current operation data in the current operation data set carries a timestamp, and the timestamp is added through a communication module of a sensor corresponding to the target elevator.
And the associated data determining module 604 is configured to associate the current operating data in the current operating data set according to the timestamp, so as to obtain a target operating associated data set corresponding to the current operating data set.
And a curve generating module 606 for generating an ascending operation curve and a descending operation curve of the target elevator according to the target operation associated data set.
And the state determining module 608 is configured to determine a balance coefficient of the target elevator according to the uplink running curve and the downlink running curve, and determine a current running state of the target elevator according to the balance coefficient.
In one embodiment, as shown in fig. 7, the apparatus further comprises: the operation data receiving module 601 is used for receiving current operation data uploaded by a sensor corresponding to the target elevator; analyzing the current operating data to obtain a timestamp of the current operating data; and storing the current operation data into a database according to the time stamp of the current operation data.
In one embodiment, the current operating data includes an operating voltage, an operating current, and an operating distance, and the associated data determination module 604 is further configured to obtain the operating distance; when the running distance is equal to the distance threshold, determining the running distance as a target distance; and determining a target operation associated data set according to the time stamp of the target distance.
In one embodiment, the associated data determining module 604 is further configured to obtain a timestamp of the target distance; acquiring a timestamp of the operating voltage and a timestamp of the operating current; the operating voltage and the operating current with the same timestamp as the target distance are taken as operating associated data and are classified into the same operating associated data set, so that a plurality of operating associated data sets corresponding to different timestamps are obtained; verifying the effectiveness of each operation associated data set, and forming a target operation associated data set by the verified operation associated data sets.
In one embodiment, the associated data determining module 604 is further configured to obtain a timestamp, an effective duration, and a receiving time of each running associated data in each running associated data set; respectively calculating the effective time of each operation associated data in each operation associated data set according to the timestamp and the effective time of each operation associated data in each operation associated data set; and when the effective time of at least one operation associated data in the first operation associated data set is less than the corresponding receiving time, determining that the first operation associated data set passes the validity verification, wherein the first operation associated data set is at least one of the operation associated data sets.
In one embodiment, the curve generation module 606 is further configured to obtain a running data table template; importing the target operation associated data set into an operation data table template to obtain a target operation data table; and generating an uplink operation curve and a downlink operation curve according to the target operation data table.
In one embodiment, the state determination module 608 is further configured to obtain an intersection point of the uplink operating curve and the downlink operating curve; determining a balance coefficient corresponding to the target elevator according to the intersection point; when the balance coefficient is within the preset threshold range, determining that the current running state of the target elevator is a safe state; and when the balance coefficient is not in the preset threshold range, determining that the current running state of the target elevator is an abnormal state.
According to the elevator data processing device, the current operation data set corresponding to the target elevator is obtained, the current operation data in the current operation data set carries the timestamp, and the timestamp is added through the communication module of the sensor corresponding to the target elevator; associating the current operating data in the current operating data set according to the timestamp to obtain a target operating associated data set corresponding to the current operating data set; generating an uplink running curve and a downlink running curve of the target elevator according to the target running associated data set; and determining the balance coefficient of the target elevator according to the uplink running curve and the downlink running curve, and determining the current running state of the target elevator according to the balance coefficient. Because the current operation data set comprises current operation data corresponding to a plurality of moments in the current time period of the target elevator, the balance coefficient of the target elevator is detected by acquiring the current operation data set of the target elevator, the real-time automatic detection of the balance coefficient of the elevator can be realized, and the detection efficiency of the balance coefficient of the elevator is improved. In addition, the timestamp of current operation data is added by the communication module of sensor, can accurately discern the operation data that a plurality of sensors gathered at same time according to the timestamp of current operation data, and then can improve elevator balance coefficient and detect the rate of accuracy.
For the specific definition of the elevator data processing device, reference may be made to the above definition of the elevator data processing method, which is not described in detail here. The modules in the elevator data processing device can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 8. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used to store current operating data. The network interface of the computer device is used for communicating with an external terminal through a network connection. Which computer program is executed by a processor to implement an elevator data processing method.
Those skilled in the art will appreciate that the architecture shown in fig. 8 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer arrangement is provided, comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to carry out the steps of the above-mentioned elevator data processing method. The steps of the elevator data processing method here can be steps in the elevator data processing methods of the various embodiments described above.
In one embodiment, a computer-readable storage medium is provided, in which a computer program is stored which, when being executed by a processor, causes the processor to carry out the steps of the above-mentioned elevator data processing method. The steps of the elevator data processing method here can be steps in the elevator data processing methods of the various embodiments described above.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. An elevator data processing method, the method comprising:
acquiring a current operation data set corresponding to a target elevator, wherein current operation data in the current operation data set carries a timestamp, and the timestamp is added through a communication module of a sensor corresponding to the target elevator; the current operation data is data generated by the target elevator during normal passenger operation; the current operation data comprises operation voltage, operation current and operation distance;
taking a running distance equal to a distance threshold as a target distance, and associating running current and running voltage in the current running data set according to a timestamp of the target distance to obtain a plurality of target running associated data sets corresponding to the current running data set; each target operation associated data set is a target operation associated data set corresponding to different timestamps, and the target operation associated data sets comprise operation voltage and operation current corresponding to the same timestamp;
generating an uplink operation curve and a downlink operation curve of the target elevator according to the target operation associated data sets; the uplink operation curve comprises uplink currents corresponding to a plurality of load ratios, and the downlink operation curve comprises downlink currents corresponding to a plurality of load ratios; the load factor is determined according to the operating voltage;
and determining a balance coefficient of the target elevator according to the uplink running curve and the downlink running curve, and determining the current running state of the target elevator according to the balance coefficient.
2. The method of claim 1, wherein prior to obtaining the current set of operational data corresponding to the target elevator, the method further comprises:
receiving current operation data uploaded by a sensor corresponding to the target elevator;
analyzing the current operation data to obtain a timestamp of the current operation data;
and storing the current operation data into a database according to the timestamp of the current operation data.
3. The method according to claim 1, wherein the associating the operating current and the operating voltage in the current operating data set according to the timestamp of the target distance to obtain a plurality of target operating associated data sets corresponding to the current operating data set comprises:
acquiring a timestamp of the target distance;
acquiring a timestamp of the operating voltage and acquiring a timestamp of the operating current;
taking the operating voltage and the operating current with the same timestamp as the timestamp of the target distance as operating associated data and classifying the operating voltage and the operating current into the same operating associated data set to obtain a plurality of operating associated data sets corresponding to different timestamps;
verifying the effectiveness of each operation associated data set, and forming the operation associated data sets which pass the verification into the target operation associated data set.
4. The method of claim 3, wherein verifying the validity of each running associated data set comprises:
acquiring a timestamp, an effective duration and a receiving time of each operation associated data in each operation associated data set;
respectively calculating the effective time of each operation associated data in each operation associated data set according to the timestamp and the effective time of each operation associated data in each operation associated data set;
when the valid time of at least one operation associated data in a first operation associated data set is less than the corresponding receiving time, determining that the first operation associated data set passes validity verification, wherein the first operation associated data set is at least one of the operation associated data sets.
5. The method of claim 1, further comprising:
calculating the actual load of the target elevator according to the operation voltage in the target operation related data set;
acquiring the rated load of the target elevator;
and calculating the load factor of the target elevator according to the actual load and the rated load.
6. The method of claim 1, wherein generating an up run profile and a down run profile for the target elevator from the target set of operational correlation data comprises:
acquiring an operation data table template;
importing the target operation associated data set into the operation data table template to obtain a target operation data table;
and generating an uplink operation curve and a downlink operation curve according to the target operation data table.
7. The method of claim 1, wherein determining a balance coefficient for the target elevator based on the up run curve and the down run curve, determining a current operating state of the target elevator based on the balance coefficient, comprises:
acquiring an intersection point of the uplink operating curve and the downlink operating curve;
determining a balance coefficient corresponding to the target elevator according to the intersection point;
when the balance coefficient is within a preset threshold value range, determining that the current running state of the target elevator is a safe state;
and when the balance coefficient is not in the range of the preset threshold value, determining that the current running state of the target elevator is an abnormal state.
8. An elevator data processing apparatus, characterized in that the apparatus comprises:
the system comprises an operation data acquisition module, a data processing module and a data processing module, wherein the operation data acquisition module is used for acquiring a current operation data set corresponding to a target elevator, current operation data in the current operation data set carries a timestamp, and the timestamp is added through a communication module of a sensor corresponding to the target elevator; the current operation data is data generated by the target elevator during normal passenger operation; the current operation data comprises operation voltage, operation current and operation distance;
the associated data determining module is used for associating the operating current and the operating voltage in the current operating data set according to a timestamp of the target distance by taking the operating distance equal to the distance threshold as the target distance to obtain a plurality of target operating associated data sets corresponding to the current operating data set; each target operation associated data set is a target operation associated data set corresponding to different timestamps, and the target operation associated data sets comprise operation voltage and operation current corresponding to the same timestamp;
the curve generation module is used for generating an uplink operation curve and a downlink operation curve of the target elevator according to the target operation associated data sets; the uplink operation curve comprises uplink currents corresponding to a plurality of load ratios, and the downlink operation curve comprises downlink currents corresponding to a plurality of load ratios; the load factor is determined according to the operating voltage;
and the state determining module is used for determining the balance coefficient of the target elevator according to the uplink running curve and the downlink running curve and determining the current running state of the target elevator according to the balance coefficient.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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