KR101507615B1 - Method for counting the number of the work performed by heavy equipment - Google Patents

Abstract

The present invention extracts characteristics of each operation from a displacement signal from a plurality of actuating elements that perform heavy construction work for construction, creates a reference pattern for each operation type, generates a displacement signal obtained from a currently performed operation, To determine which job has been performed, and counts the number of times the job is performed for each job type.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method for counting the number of times a work is performed in heavy equipment for construction,

The present invention relates to a method for counting the number of times of execution for each work type of heavy equipment for construction. More specifically, the present invention relates to a method for determining a currently performed job type through pattern recognition of a currently performed job of a heavy equipment for construction and counting the number of performed jobs.

Construction equipment such as excavators and wheel loaders is not easy to understand how much work is done in the workplace due to high work freedom. There is a need to accurately determine the amount of work actually performed to determine the wage and target workload between the worker and the employee, and there is a basis for determining whether the worker has done the appropriate level of work need. In addition, for designers, it is possible to design light weight considering the accurate load when knowing the working load history in the field.

The present invention provides a method for determining the number of times of performing a job for each type of job performed using a heavy equipment for construction. More specifically, and a method for calculating the cumulative fatigue of the equipment. In addition, it is intended that a heavy equipment maker or equipment lender can utilize the present invention as data for use history management and quality assurance of equipment.

As a means for solving the above-mentioned problems, the present invention provides a method of counting the number of times of performing a job by a job type by recognizing a pattern of a job for heavy construction equipment for construction. A method for counting the number of times of performing a task in a plurality of types of operations of a construction equipment includes receiving each of the displacement signals from a plurality of operation elements performing work of a construction equipment, Extracting the plurality of pieces of sample data and comparing the extracted plurality of sample data with predetermined reference pattern data corresponding to each operation type of the equipment for construction to determine which of the plurality of operation types is performed And counting the number of times the job is performed for a specific job determined to have been performed in the determination step.

Further, the method for counting the number of times of performing operations may further include the steps of measuring a cylinder pressure in a plurality of operating elements that perform operations of the construction equipment, and comparing the measured cylinder pressure with a predetermined reference value, The number of times of performing the work can be counted only when the measured cylinder pressure is greater than a predetermined reference value.

In addition, the cumulative fatigue of the construction equipment can be calculated based on the number of times of performing the operation for each of the plurality of operation types acquired through the methods and the operation fatigue for each of the predetermined plurality of operation types.

According to the present invention, it is possible to grasp the number of times the work is performed for each type of work using the heavy equipment for construction. Accordingly, through the present invention, the workload of the heavy equipment through the heavy equipment for construction can be automatically counted, and the cumulative fatigue of the equipment can be calculated. Also, the heavy equipment maker or the equipment lender can use the present invention as the data on the use history management and the quality assurance of the equipment.

Major works of existing construction equipment can be identified by visual appearance. For example, the work used in fields such as excavation work, jack-up, jack hammering, and the like, which are the main works of an excavator, includes a boom, an arm, a bucket ) Can be defined through the appearance of the operation. Accordingly, the plurality of jobs of the heavy equipment can be separately defined by the motion characteristics such as the position change, the movement range, the rotation angle, and the rotation range of each of the plurality of operation elements such as the boom, the arm, and the bucket cylinder. Further, the motion characteristic capable of discriminating a plurality of operation types can be extracted from a displacement signal of a cylinder, a rotation related signal, etc., received from a plurality of operating elements such as a boom, an arm, and a bucket that perform work of a construction equipment.

1 shows a method of creating a reference pattern for a plurality of job types of heavy construction equipment. First, a process of acquiring data for a plurality of jobs is performed (step 101). For example, in order to recognize a pattern of a digging operation, which is a main operation of an excavator, it is possible to receive necessary data by receiving displacement signal data from a moving element such as a boom, an arm, a bucket or the like that defines excavation work motion. The displacement signal data may be generated from a measurement sensor installed in the boom, arm, bucket, and may include the distance signal and the displacement angle data. In order to recognize a pattern for a specific job, it is desirable to repeatedly acquire data even in the same job. This is because it is possible to generate a reference pattern by patterning motion patterns for a specific task more precisely through repeated data acquisition.

Once data for a plurality of jobs is obtained, feature extraction is performed that defines motion characteristics for each job (step 102). Feature extraction is performed by considering peaks, valleys, amplitude magnitudes, and time axes from the signals received from each moving element that performs a specific task. The feature extraction method will be described later with reference to FIG. 2 This will be described in detail.

When feature extraction is performed for each of the plurality of tasks, pattern classification is performed by comparing and classifying the extracted features in each task (step 103). Each task pattern can be classified by extracting each feature for different tasks. For example, each work pattern can be formed for each type of work such as an excavation mode pattern, a loading mode pattern, a hammering mode pattern, and a ground press mode pattern. Further, even in the same operation, pattern classification can be performed according to the work intensity. For example, the excavation mode pattern may be reclassified into a digging low mode pattern, a digging normal mode pattern, a digging high mode pattern, etc. according to the work intensity.

Due to the pattern classification, a reference pattern for each work type of heavy equipment is created (step 104). Based on the reference pattern thus generated, pattern recognition is performed to determine which task type is currently performed, and the operation pattern recognition method will be described later.

Figure 2 is an example of extracting features of a signal pattern to create a reference pattern for a particular task of heavy construction equipment for construction and shows displacement signals received from an arm cylinder, a boom cylinder, and a bucket cylinder when an excavation operation is performed .

The characteristics of the work operation can be extracted from the signals received from the plurality of operation elements performing the specific operation in consideration of the peak and the valley, the magnitude of the amplitude, and the time axis. FIG. 2 shows a manner of extracting sampling data from respective displacement signal data received from an arm, a boom, and a bucket cylinder in order to extract a pattern feature of an excavation operation. In one embodiment, the amplitude of the signal can be calculated by sampling data at a point where the minimum and maximum values of the displacement signal of each component appear, and calculating the difference between the measured minimum value and the maximum value. Thus, the minimum, maximum, and amplitude values of the arm, boom, and bucket cylinder are obtained to extract pattern features of the excavation operation. In addition, it can be seen that the excavation operation pattern can be defined in the order of the arm cylinder minimum point, the boom cylinder minimum point, and the bucket cylinder maximum point in the 0-40 second interval in this signal pattern. Therefore, in order to define the pattern characteristics of the work, it is possible to consider the posterior relationship in which the minimum point and the maximum point of the displacement signal of each constituent element appear in consideration of the time axis.

2 extracts sampling data from each displacement signal data received from the arm, boom, and bucket cylinder to extract the characteristics of the pattern of the excavation operation. However, in order to extract pattern characteristics of a specific operation, In addition to cylinders, data may be received from other actuating elements that may define motion characteristics. In addition, the displacement signal data may represent displacement angles as well as displacement angles, and any data capable of defining the motion characteristics of a particular job may be used in place of, or in conjunction with, the displacement signal data.

Fig. 3 shows a method for counting the number of times of performing the work for each of a plurality of job types of the construction equipment. In order to count the number of times of performing the work in the heavy equipment for construction, the pattern recognition step for determining which one of the plurality of job types corresponds to the current performing job is preceded. A step of receiving a respective displacement signal from a plurality of actuating elements that perform the work of the construction equipment to recognize the pattern of the current performing operation is performed (step 301). For example, a displacement signal may be received from a boom, a rock, and a bucket, which constitute the front portion, to recognize a pattern of a digging operation, which is a main operation of an excavator. Such a displacement signal can be received from a measurement sensor installed in a boom, arm, bucket, and may include a distance signal and a displacement angle signal.

Thereafter, a step of setting a time block in recognition of the specific working pattern of the heavy equipment for construction is performed (step 302). In order to detect a new input pattern from a continuous signal or data, a specific section must be set. Therefore, the pattern recognition is performed in block units set in a specific section. The time block setting method will be described later with reference to FIG.

Then, a feature extraction step is performed (step 303) in which a plurality of pieces of sample data are extracted from the displacement signal received within the set time block. The characteristics of the operation can be extracted from the signals received from each actuating element, taking into account the peak, the valley, the magnitude of the amplitude, and the time base. As described above, the feature extraction method can be performed in the same manner as the method of extracting the signal pattern feature at the time of creating the reference pattern.

After extracting the plurality of sample data from the received displacement signal, the extracted sample data is compared with predetermined reference pattern data for each operation type to determine whether the reference pattern is the same as the reference pattern for the specific operation (step 304). Here, the reference pattern data for each job type can be created in advance through the above-described reference pattern creation method. And compares the extracted plurality of sample data with a plurality of reference patterns for each operation type to determine which operation among the plurality of operation types is matched with the current operation. The actual work of construction heavy equipment is quasi static, and the timing change of signal values received from each component of heavy equipment for construction is not fast. Therefore, by comparing with the reference pattern at every maximum or minimum point, it is possible to determine the type of operation to be matched. When the signal data received from the plurality of actuating elements are compared, consideration should be given to the posterior relationship in which the minimum point and the maximum point of the displacement signal of each actuating element appear in consideration of the time axis.

If it is determined that the extracted sample data is matched with the reference pattern data for a specific task among a plurality of job types, that is, if the current performing operation is matched with a specific type of operation, the currently performed operation pattern is recognized Step 305).

In such a pattern recognition, there may be a case where only the work motion is taken without performing the actual work in a state where the work load is not applied to the heavy equipment. Therefore, in this case, a pressure comparing step 306 may be added to compare the specific cylinder pressure with a predetermined reference value, in order to judge that the operation has not been performed substantially and exclude it from counting a specific number of operations.

In the pressure comparison step 306, after comparing the specific cylinder pressure, for example, the boom cylinder pressure with a predetermined reference value, if the boom cylinder pressure is larger than the reference value, the actual operation is performed and the specific operation frequency is counted, If the pressure is smaller than the reference value, the routine returns to the pattern recognition start step 301 without counting the number of times of the specific operation. Here, the reference value may be set to an appropriate value in consideration of the pressure applied to the specific cylinder when the actual operation is performed.

Alternatively, the step of comparing the specific cylinder pressure with the reference value may be performed prior to the pattern recognition step 305. For example, a step may be added to measure a specific cylinder pressure or axial force before initiating the pattern recognition. In this measuring step, if the specific cylinder pressure (or cylinder axial force) measured before the start of pattern recognition is smaller than a predetermined reference value, the pattern recognition procedure may not be performed.

In the counting step 307, the number of times the job is performed by the job type is counted. If the counting operation is repeated, the cumulative number of operations for each job in which the reference pattern is created can be calculated. Here, the number of operations for each job is stored through a storage medium such as a memory, for example, so that the cumulative number of jobs for each job can be updated.

 Hereinafter, a method of setting a time block in recognition of a specific working pattern of heavy equipment for construction will be described with reference to FIG. In order to perform pattern recognition from a continuous signal, a specific interval must be set from a continuous signal to detect a working pattern. For example, as shown in FIG. 4, a reference time (T-AT) smaller than a time point (T) to receive a current signal is set and a time block corresponding to? T is set. .

In one embodiment, the reference time point can be set based on the peak or valley of the received signal. In this case, it is possible to set a period in which the maximum point is repeated or a period in which the minimum point is repeated as one time block by grasping the maximum point of the received signal or the point at which the minimum point passes. Accordingly, it is possible to determine whether or not a specific job is performed for each block of time.

In another embodiment, the time point at which a large change in the signal occurs can be set as a time block by repeatedly receiving data values of the maximum or minimum points of the received signal and comparing these values. For example, referring to FIG. 4, since the period of the signal is shortened in the time axis from 160 to 180 seconds, and the maximum value of the signal is small, a time point at which such a change starts to occur can be set as a reference time point. In FIG. 4, it can be seen that the time point (between 140 and 150 seconds) at which the maximum value immediately before the rapid change of the signal appears is set as the reference time point. In this case, since a plurality of operations can be performed within a set time block, it is possible to determine the number of repeated operations using a plurality of maximum points and minimum points in a single time block.

The present invention can also calculate the cumulative fatigue of the heavy equipment for construction on the basis of the number of times of performing the work for each of the plurality of job types acquired through the above-described method. For example, the cumulative fatigue can be easily calculated by the following equation.

Cumulative fatigue = Σ (fatigue per work × times of execution)

Here, the fatigue per job for each job by the job type can be obtained by calculating the standard fatigue for each job considering the number of jobs generally guaranteed by the heavy equipment manufacturer for each job. In addition, the number of times of execution of a specific job can be obtained through counting for each job type through pattern recognition for the specific job. Therefore, the cumulative fatigue of the heavy equipment for construction can be linearly calculated through the above equation.

For example, by classifying the main operation mode into various operation modes such as an excavation mode, a loading mode, a hammering mode, a ground press mode, etc., and securing fatigue per operation for each operation mode, The cumulative fatigue of the work can be calculated. In addition, even if the excavation mode is subdivided into the excavation low mode, excavation normal mode, and excavation high mode to perform the same digging operation, the fatigue for each mode is subdivided You can set it separately.

Using the cumulative fatigue calculated in this way, the current state and quality of the heavy equipment for construction can be expressed numerically and compared with the quality guarantee limit provided by the construction equipment company by calculating the work history or cumulative fatigue.

Certain embodiments of the invention have been described herein for purposes of illustration and various modifications may be made without departing from the spirit and scope of the invention. Accordingly, the embodiments described above are to be considered in all respects as illustrative and not restrictive. Therefore, the scope of the present invention is defined only by the claims, not by the above description.

FIG. 1 is a flowchart for creating a reference pattern for each type of work of heavy construction equipment for construction.

FIG. 2 shows a feature of extracting the characteristics of a signal pattern to create a reference pattern for each operation type of heavy equipment for construction.

3 is a flowchart showing a method of counting the number of times of execution for each type of work of heavy equipment for construction.

FIG. 4 illustrates a method of setting a time block to determine which of a plurality of job types of heavy construction equipment for construction has been performed.

Claims (3)

A method for counting the number of times of performing a job according to a plurality of job types of a construction equipment, Receiving respective displacement signals from a plurality of actuating elements that perform work of the construction equipment; Extracting a plurality of sample data from the received displacement signal; Comparing the extracted plurality of sample data with predetermined reference pattern data corresponding to each operation type of the construction equipment to determine which one of the plurality of operation types was performed; And Counting the number of times of performing a job for a specific job determined to have been performed in the determination step The number of times the job is performed. The method according to claim 1, Measuring a cylinder pressure in a plurality of operating elements that perform the operation of the construction equipment; And Further comprising the step of comparing the measured cylinder pressure with a predetermined reference value, Wherein the counting step counts the number of times the job is performed only when the measured cylinder pressure is greater than a predetermined reference value. delete

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