KR20090051459A - Apparatus of analizing the construction productivity based on statistics and thereof - Google Patents

Abstract

The present invention relates to a statistical real-time construction productivity analysis device and analysis method, statistical-based real-time construction productivity analysis device that can objectively compare and analyze the reference cycle time and the actual cycle time according to the target production amount set for each process of construction work And an analysis method.

The technical configuration is based on the driving time and position of each equipment of the construction work to achieve the object as described above, the circulation time is provided to provide in real time the cycle time for each process performed by each equipment Providing device; Receives a cycle time for each process output in real time from the cycle time providing device, calculates a significant probability (P-value) by comparing with the reference cycle time optimized according to the productivity set in each process, and set each process A central management device for comparing a significance level of reliability with the significance probability and outputting a similar degree between the circulation time and the reference circulation time; A result data output device for outputting to the user to remove a delay factor generated in each process when the degree of similarity between the circulation time and the reference circulation time output from the central management device is low; Characterized in that it comprises a.

Statistics, significance level, significance probability, margin of error tolerance, reliability, construction, cycle time

Description

Apparatus of Analizing the Construction Productivity Based on Statistics and Julia}

The present invention relates to a statistical real-time construction productivity analysis device and analysis method, and to a statistical-based real-time construction productivity analysis device and analysis method provided to remove the delay factor for each process of the construction work to reach the target yield. .

In general, the output of each construction process is an important factor in determining the success of a construction project. Therefore, information about the site situation and the process is collected, and the expected output is analyzed to establish a process plan.

And, in order to identify the real-time circulation time for the process in the construction site to reach the production amount according to the established process plan, it is necessary to use a lot of time and effort because the method dependent on human resources is used. When the work is finished, it is limited to the purpose of calculating daily productivity.

In addition, since the process control of the construction site depends on human resources, the similarity between the actual cycle time of each process and the reference cycle time of each process according to the target production volume is changed according to personal experience and knowledge.

For example, if the projected target output is 12 cycles per hour and the actual output is 10 cycles per hour in any construction process, the similarity of the two data may be different according to the subjective judgment of the user. .

This can be changed by the individual judgment of the engineer who interprets the standards and data for each process, and the inconsistent data processing method is applied, which may cause difficulties in process management occurring at the construction site.

 Therefore, it is necessary to convert the subjective and inconsistent construction data processing method into the objective and systematic processing method for the target data and the acquired data for each process of construction work. It is urgent to develop a system that can produce objective results.

The present invention has been made to solve the above problems, statistics-based real-time construction productivity analysis device and analysis method that can objectively compare and analyze the reference cycle time and the actual cycle time according to the target production amount set for each process of construction work The purpose is to provide.

Another object of the present invention is to provide a statistical-based real-time construction productivity analysis device and analysis method that can be flexibly adjusted to meet various cycles that can vary the cycle time and the standard cycle time for each process, and the actual allowable error of the cycle time It aims to do it.

Another object of the present invention is to provide a statistical real-time construction productivity analysis device and analysis method that can be identified to distinguish the delay factors for each process and the delay factors for each equipment.

The present invention uses the Wilcoxon Signed Rank Test statistical technique for the target cycle time and the actual cycle time set for each process of the construction work, but the significance level of reliability set for each process or for each equipment And similarity between the target circulation time and the acquisition circulation time to determine the similarity between the two data.

As described above, the present invention having the configuration as described above can be carried out by objectively and consistently establishing a plan for each process of the construction work, and can grasp the process or the equipment in which the delay factor occurred in real time, As a result, the productivity of the process can be improved, and the tolerance range of each process can be set differently so that it can be flexibly applied and analyzed according to variables for various delay factors, and the similarity between the reference cycle time and the actual cycle time It can be judged objectively and systematically and efficiently monitored.

In order to achieve the above object, the present invention is based on the driving time and position of each equipment of the construction work, the circulation time providing apparatus is provided to provide in real time the cycle time for each process performed by each equipment; Receives a cycle time for each process output in real time from the cycle time providing device, calculates a significant probability (P-value) by comparing with the reference cycle time optimized according to the productivity set in each process, and set each process A central management device for comparing a significance level of reliability with the significance probability and outputting a similar degree between the circulation time and the reference circulation time; A result data output device for outputting to the user to remove a delay factor generated in each process when the degree of similarity between the circulation time and the reference circulation time output from the central management device is low; It includes.

Preferably, the central management device comprises: a data cluster configured to form a real-time circulation time and a predetermined reference circulation time of each device delivered from the circulation time management device for each process to form a group; A data comparison unit comparing the circulation time with the reference circulation time by using the data clustered in the data cluster and calculating a statistically significant probability; The significance probability is compared with the significance level, but if the significance probability exceeds the significance level, each cycle time is determined to be similar, and if the significance probability is less than the significance level, the data is determined to be different from each cycle time. Determination unit; Statistics-based similarity calculation means consisting of; Characterized in that it comprises a.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a block diagram schematically showing a statistical real-time construction productivity analysis apparatus according to the present invention. As shown in the drawings, the statistical real-time construction productivity analysis device 1 according to the present invention wirelessly outputs a code that can be identified by each equipment for each process of the construction work, based on this for each process of the construction work It compares and analyzes the similarity with the standard cycle time according to the planned output and outputs to the user in real time whether or not it is close to the target output.

To this end, the statistical real-time construction productivity analysis device 1 is an RFID tag 10 attached to distinguish each equipment according to each process of the construction work using an identification code, and each equipment is required in each process The circulation time management device 30 for managing data according to the circulation time by checking the circulation time, and the central management device for receiving the data transmitted from the circulation time management device 30 to analyze whether the productivity reached on a statistical basis ( 50 and a result data output device 70 for outputting the analysis data of the central management device 50 to the user.

Here, the RFID tag (Radio Frequency Identification Tag) 10 is attached to the equipment according to each process, which is the object, a built-in small chip containing a variety of information of the object, the information is a radio frequency identification reader The reader 31 is used in a management system in conjunction with various communication lines such as wired and wireless communication.

In addition, the RFID tag 10 may be passively provided to obtain power from the RFID reader 31, but may be formed to be active and transmit data to its own power source.

In addition, the circulation time management device 30 is an RFID reader 31 for reading the identification code of the RFID tag 10 and the RFID tag in synchronization with the time when the RFID reader 31 reads the identification code. And a time providing unit 33 for outputting the time at which 10 is read, and a position providing unit 34 for outputting the position where the RFID reader 31 is located.

In addition, the control unit 32 receives the identification code read by the RFID reader 31, the time of the time providing unit 33, and the position of the location providing unit 34 to output and control for transmission, and the control unit 32 Control unit 35 for transmitting the data in the near field under the control of the < RTI ID = 0.0 >

At this time, the control unit 32, when the identification code is received from the RFID reader 31 in order to receive the time when the RFID reader 31 reads the identification code, synchronizes the time providing unit 33 to identify the identification code Controls the output of reading time.

The reason is that when the device with the RFID tag 10 attached to obtain the time when the device passes the RFID reader 31, the RFID reader 31 can know the start time and the end time of the device. In addition, since the time required for the equipment to be put into any one process and the productivity can be estimated accordingly, the RFID reader 31 is controlled to output the time when the RFID tag 10 is read.

In addition, the position providing unit 34 is provided to provide a position where the RFID reader 31 is provided. When the circulation time management device 30 is fixed, the position providing unit 34 may be pre-stored, but the circulation time management is performed. When the device 30 is mobile, the coordinates thereof cannot be accurately known, and thus the coordinates are output in synchronization with the same mechanism as the time providing unit 33.

Preferably, the time providing unit 33 and the position providing unit 34 may be modified by being integrated with a global positioning system (GPS).

And, the communication means 35 is provided for the transmission of data when the central management unit 50 is located within a short distance, if the central management unit 50 is at a long distance, in addition to the communication means 35, long distance A module for communication is further provided.

In FIG. 1 according to the present invention, a case in which the communication means 35 and the central management apparatus 50 are located at a short distance is illustrated and described accordingly. A case where the central management apparatus 50 is at a distance will be described in the following embodiments. Let's do it.

Here, the communication means 35 is preferably provided as a wireless LAN, but forms a communication network by using a transmission path other than a wire such as electromagnetic waves or light (infrared), and communicates within a predetermined section. This wireless LAN is preferably used when the central management device 50 is located in the short distance because it is possible to communicate if only the LAN card for the wireless LAN mounted on a personal PC.

In addition, when data is transmitted from the communication means 35 to the central management device 50, a wireless access device (AP) (not shown) for forming a wireless network in a predetermined area may be further provided, and Through the Internet can be used within a certain period by wireless, the Internet service can be used through a LAN card in the network.

In addition, the central management device 50 is a communication means 51 for receiving each data transmitted from the circulation time management device 30 through the radio access device (not shown), and in the communication means 51 The control unit 53 is configured to update the circulation time of each device by using the transmitted data, analyze the productivity accordingly, and store each data in the database 55.

Here, the statistics-based similarity calculation means 57 according to the characteristics of the present invention, which includes the cycle time of each equipment for each process, which is the real-time construction data received from the cycle time management device 30, and the target for each process Comparing the circulation time of each equipment for each process according to a productivity, and if the process having a circulation time that is not close to the target value is identified, it is provided to the user to remove the delay factor.

In other words, the target construction productivity is identified based on the cycle time for each process, and whether the cycle time for each process acquired in real time is close to the reference cycle time according to the target production, that is, the similarity between the real time cycle time and the reference cycle time. It is determined based on statistics, and if it is within the range of similarity set by each process, it is judged as `` similar '' and continuously monitors the circulation time for each process in real time. It outputs to the user to identify the delay time delay factor.

Thus, the statistical-based similarity calculating means 57 reads out the circulation time data and the pre-stored reference circulation time data acquired for each process into the database 55.

In addition, the actual circulation time data accumulated for a predetermined time in the data cluster 57a are clustered with the corresponding planned circulation time data to form an input data for statistical-based similarity analysis, and the data cluster 57a of the data cluster 57a. Using the output, the data comparator 57b compares on the basis of statistics to calculate the similarity between the actual cycle time data and the pre-stored planned cycle time data, and the data determination unit 57c also is "similar" on the basis of statistics. It judges and outputs "different."

Here, the statistical-based similarity calculating means 57 according to the present invention using the Wilcoxon Signed Rank Test technique which is widely applied to comparison between two unspecified groups as a statistical technique for comparing the data and calculating the similarity. To be implemented.

The Wilcoxon code rank test is a verification method for comparing a pair of sample data having a non-normal distribution. The Wilcoxon rank order test calculates the difference between the reference cycle time and the actual cycle time with a significant probability (P-Value), When the significance probability calculated by comparison with a level of significance, which is a reference value for probability, exceeds the significance level, which is a reference value, it is determined that the reference circulation time and the actual circulation time are "similar".

On the contrary, when the significance probability calculated by comparing with the significance level as the reference value for the significance probability is less than the significance level as the reference value, it is determined that the reference circulation time and the actual circulation time are "different".

The reason is that when the significance level set by the user for each process is 99%, 95% or 90%, the two comparison values are significant when the significance probability is not included in the range of the significance level. Since there is a significant difference, if the P-value is not within the range set by the user, it is outside of the allowable cycle time range for each process. This is because it is necessary to inform why the cycle is different, that is, the circulation time is delayed.

In addition, when the significance probability is included in the range of the significance level, there is no significant difference between the two comparison values, whereby the P-value is included in the range set by the user. In this case, it exists in the range of circulation time allowed for each process, and through this, the user does not need to know the reason why the circulation time is delayed for each process, thereby continuously monitoring the circulation time.

In order to calculate this, it is preferable to use a SAS program, which calculates the difference between the reference cycle time and the measured cycle time paired by the input statement, and then derives the result value through the PROC UNIVARIATE statement. .

The result of the SAS program is output, which is a P-value, which is similar to the two data values at a significance level of 99%, 95%, or 90%, which is a reliability standard set by each user. Which is mentioned in the process of judging "similar" or "different".

Therefore, when it is determined that the data determination unit 57c is "different" in the statistical-based similarity calculating means 57, the communication means 51 manages the circulating time for each process through the control unit 53. A computer connected to the device 30 or outputs so that the user knows the reason for the delay of the process.

To this end, it is preferable that the result data output device 70 is provided, which outputs to the user to eliminate the cause of the difference between the actual circulation time and the reference circulation time, and the " different " Data is transmitted to the control unit 71 through the communication means 35, and is output to the user via the display means 73.

Preferably, a wireless communication means (not shown) is provided in the result data output device 70 without being connected to the communication means 35 to receive data directly from the central management device 50 so that the user may experience a delay. It is also possible to output the process in question so that it can be distinguished.

Preferably, if the database 55 is not installed in the central management apparatus 50, and the apparatus including the same is located at a remote location, it is also possible to transmit and receive data using a long distance communication means including CDMA. .

2 is a view schematically showing an embodiment in which one device with an RFID tag of the statistical real-time construction productivity analysis apparatus according to the present invention is driven, and FIG. 3 is a statistical real-time construction productivity analysis apparatus according to the present invention. Figure schematically shows an embodiment in which the M devices with the RFID tag of is driven.

As shown in the figure, it is assumed that one RFID tag 10 (1) mounted on one arbitrary piece of equipment checks a time for circulating N arbitrary processes, and accordingly N random processes Since the circulation time management device 30 is provided according to the N processes, respectively, it is assumed that the result data output device 70 connected to the circulation time management device 30 is provided.

First, each equipment according to each process reads the RFID tag 10 (1) attached to the equipment passing through the first circulation start point at the first circulation start point, which is a starting point, and the RFID tag 10 (1). The code identifying the equipment, the position where the RFID reader 31 is installed, and the time at which the code is read are sent to the central management apparatus 50.

Then, the circulation time management devices 30a and 30b provided at each circulation start point and the circulation end point transmit data to the central management device 50 until the cycle of N processes is completed.

After the N processes are completed, the data on the cycle time and the target data for each process for the cycle time are compared and analyzed to continuously monitor the data within the range of similarity set by the user. For example, if the user is outside the range of similarity set by the user, the user is notified so that the delay factor is removed from the process outside the standard cycle time range.

On the other hand, it is assumed that the M RFID tags 10 (1), 10 (2), ... 10 (M) mounted on M pieces of arbitrary equipment check the time for circulating N arbitrary processes, and thus N It is assumed that the circulation time management device 30 corresponding to the N processes is provided, respectively, and the result data output device 70 connected to the circulation time management device 30 is provided.

In addition, each device according to each process reads the RFID tag 10 (1) attached to the equipment passing through the first circulation start point at the first circulation start point, which is a starting point, and the equipment is read to the RFID tag 10. The identification code, the position where the RFID reader 31 is installed, and the time at which the code is read are transmitted to the central management apparatus 50.

Then, the circulation time management devices 30a and 30b provided at each circulation start point and the circulation end point transmit data to the central management device 50 until the cycle of N processes is completed.

After the N processes are completed, the data on the cycle time and the target data for each process for the cycle time are compared and analyzed to continuously monitor the data within the range of similarity set by the user. For example, if the user is outside the range of similarity set by the user, the user is notified so that the delay factor is removed from the process outside the standard cycle time range.

In addition, since it is assumed that there are M pieces of equipment passing through the process having the same cycle in addition to the RFID tag 10 (1), the same process is performed according to the above, but even if the equipment undergoes the same process, productivity is increased. Since it may be different from each other, it is desirable to be made to distinguish the productivity by checking the productivity of each equipment for the same process to eliminate the delay factor of the equipment.

Here, it is preferable that the RFID tags 10 (1), 10 (2), ... 10 (M) do not simultaneously proceed with the same process, because a large number of them exist in a predetermined area scanned by the RFID reader 31. This is because, when there are two RFID tags 10 (1), 10 (2), ... 10 (M), data may not be accurately identified due to interference.

4A, 4B, and 4C are diagrams for separately explaining driving of a circulation time management device, a central management device, and a result data output device among statistical statistical real-time construction productivity analysis devices according to the present invention.

4A is a diagram schematically showing an embodiment of driving according to data collection and analysis in order to analyze statistics-based real-time construction productivity according to the present invention, and as shown in the figure, the data according to the present invention. As an example, a process for dumping by transporting soil for collection and analysis to earthwork is described.

First, to install the RFID tag 10 in the construction equipment to perform each construction process, select a construction device that performs the main process affecting the construction productivity, and attach the RFID tag 10 to the corresponding equipment.

In addition, the RFID reader 31 is installed at the point where the main event of the construction process occurs, and the RFID reader 31 is installed at an appropriate place where the circulation time for each process of the equipment in which the RFID tag 10 is installed is obtained. When the equipment equipped with the RFID tag 10 passes through this position, it is possible to know the circulation time, location, time, etc. for each process.

Then, the reference circulation time is set for each process of transporting and dumping the soil to the central management device 50, and the significance level, that is, the range of similarity, is the reliability of the reference circulation time and the actual circulation time to be collected.

Then, at the time of loading operation, the time required by any device attached with the RFID tag 10 in the loading operation in the cyclic data management device 30 using short-range wireless communication is measured, and the site is operated through CDMA, which is a long distance wireless communication. Output to the central management unit 50 that is the main computer of the office main computer or the management / control room.

4B is a diagram schematically showing an embodiment in which statistics-based similarity calculating means is driven in order to analyze statistical-based real-time construction productivity according to the present invention. The data on the location and circulation time for each equipment transmitted to the device 50 is databased to store the circulation time for each process.

In addition, the database 55 updates and stores the circulation time of each process in the database 55, and collects each reference circulation time for the process of dumping the soil by dumping the soil in the earthworks work, and the actual obtained circulation time. Cluster at 57a.

Then, the data comparison unit 57b compares the clustered reference circulation time with the actually obtained circulation time to calculate a significant probability (P-Value), which is a similarity range preset for each process. The significance probability is compared within the level of significance.

In addition, as a result of the comparison of the data comparator 57b, if the significance probability is less than the significance level, that is, if the two data are not within the range of similarity set by the user, the error range is outside the allowable error range. ) Informs the user and communicates the delay factors, which is why the data in the process is different.

On the contrary, when the comparison result of the data comparison unit 57b indicates that the significance probability is greater than the significance level, that is, when the two data are within the range of similarity set by the user, the data probability is 57b. ) Will continue to monitor the data without notifying the user.

Here, Figure 4c is a diagram schematically showing an embodiment of the driving based on the statistical real-time construction productivity analysis is delivered to the user according to the present invention, as shown in the figure, of the central management device 50 The data determination unit 57c informs the user when the actual measured circulation time does not exist within an error range allowed by the user.

Accordingly, when it is determined that the two data values are not similar, the data is transmitted to the result data output device 70 including the computer at the place where the RFID reader 31 for each process is installed through a long distance communication network using CDMA or the like. Allows the user to identify factors that cause delays in circulation time, which are not included in the user's target rotation time, and to take appropriate measures.

5 is a flow chart schematically showing a statistical real-time construction productivity analysis method according to the present invention. As shown in the drawings, the statistical real-time construction productivity analysis method according to the present invention is to set the productivity target for each process of the construction work, and accordingly set in advance for each process to be able to distinguish the process and equipment affecting the productivity According to the productivity target, the reference cycle time for each process is input (S10).

Then, using the RFID tag and the RFID reader to monitor the circulation time of the equipment, and stores it as a database (S20).

In addition, the data cluster unit clusters the actual cycle time stored in the database and the reference cycle time according to the target set by the user for each process (S30), and the data comparator takes note of the difference between the actual cycle time and the reference cycle time. Probability is calculated and it is checked whether the significance probability is included in the significance level which is the reliability and the error range set by the user (S40).

Then, it is determined whether or not the actual circulation time, which is the sample data collected by the data determination unit, exceeds the reference circulation time, which is the preset target data, and the error range (S50). Ask whether it is similar (S60).

In addition, if the two data are similar, the case is close to the circulating time that is the target data set by the user, so that the algorithm is repeated until there is no RFID tag of the equipment according to each process for continuous monitoring (S90). Return to step S10.

On the contrary, if the two data are different from each other, it is not close to the circulating time which is the target data set by the user. Therefore, the data determination result is transmitted to the user (S70), the delay factors are analyzed and removed (S80), Until there is no RFID tag of the equipment according to each process to continuously monitor (S90), the process returns to the step S10 to repeat the algorithm.

6 is a flowchart schematically showing an embodiment of a statistical-based real-time construction productivity analysis method according to the present invention. As shown in the figure, the statistical real-time construction productivity analysis method according to the present invention comprises a construction site external process (event) and the construction site internal process (event).

As an external process of the construction site, construction data using an RFID tag is obtained, the data is transmitted using a wireless LAN and CDMA, and when the data is determined, the data is transmitted to the user according to similarity.

In the internal process of the construction site, the acquired construction data is used as sample data, and the data are compared and determined through the Wilcoxon code rank test step.

7 to 11 are views illustrating a process of analyzing productivity when the reference circulation time and the collected circulation time are different, and FIGS. 12 to 15 illustrate the productivity when the reference circulation time and the collected circulation time are similar. Figure showing the process of doing.

As shown in the figure, the circulation time is measured when transporting soil for earthworks, the circulation time according to the target production of the user for each process is described as the planned circulation time, the first measurement group and the second measurement group This is shown in Table 1 below.

Cycle Time Unit by Process [min] Planned cycle time Measured cycle time First measurement group 2nd measuring group 1st round 19 19 19 2nd round 19 22 22 3rd round 19 28 22 4th round 19 23 23 5th round 19 38 24 6th round 19 25 19 7th round 19 24 24 8th round 19 40 20 9th 19 21 21 10th 19 26 23 P value 0.0059 0.0273 Significance level & comparison results 99% (1-0.99 = 0.01) 0.01> P disparity 0.01 <P Similarity 95% (1-0.95 = 0.05) 0.05> P disparity 0.05> P disparity 90% (1-0.9 = 0.1) 0.1> P disparity 0.1> P disparity Judgment result Different at all significance levels Similar at 99% significance level Processing according to the judgment result Eliminate delay factors and send judgment results

In Table 1, the Wilcoxon code rank test was used, but the cycle time according to each cycle was described for the same construction process, and the first and second measurement groups according to each equipment and other variables performing the same process. This is distinguished.

That is, the first measurement group is a case where the difference from the reference data is much larger than the second measurement group, and the second measurement group is a case where the difference is not much different from the reference data than the first measurement group.

Here, the first measurement group determines that the actual acquired data and the plan data are different from each other in the ranges of 90%, 95%, and 99% of significance levels, which are preset tolerances and reliability levels for each process. None of the reliability is satisfied, so it is necessary to remove the delay factor and output it to the user.

In addition, the second measurement group is determined to be different from the actual acquisition data and the planning data within a range of 90% and 95% of the significance level, which is the error tolerance range and reliability set by the user for each process, but the range of 99% of the significance level. It satisfies the reliability set by the user.

Therefore, when the user sets the significance level of confidence at 90% or 95%, the second measurement group should be driven in the same process as the first measurement group, but the user sets the significance level of reliability at 99%. The second measurement group should be driven in a different process from the first measurement group, and it is determined that the second measurement group is relatively similar to the first measurement group because it satisfies the set significance level. Do not.

In addition, FIG. 7 illustrates a clustering of the reference cycle time and the actual cycle time, FIG. 8 illustrates SAS programming for examining data similarity, and FIGS. 9 to 10 show similarities between the reference cycle time and the actual cycle time. A SAS data comparison is shown to determine, and FIG. 11 shows data for &quot; different &quot; which is a SAS similarity determination.

12 illustrates clustering of the reference cycle time and the actual cycle time, FIG. 13 illustrates SAS programming for examining data similarity, and FIGS. 14 to 15 illustrate similarities between the reference cycle time and the actual cycle time. A SAS data comparison is shown for determining, and FIG. 16 shows data for &quot; similar &quot; which is a SAS similarity determination.

In the above described exemplary embodiments of the present invention by way of example, the scope of the present invention is not limited to this specific embodiment, and those skilled in the art within the scope described in the claims of the present invention Changes may be made as appropriate.

1 is a block diagram schematically showing a statistical real-time construction productivity analysis apparatus according to the present invention.

Figure 2 is a schematic diagram showing an embodiment in which one device is attached RFID tag of the statistical real-time construction productivity analysis device according to the present invention.

3 is a diagram schematically illustrating an embodiment in which M devices to which an RFID tag is attached in the statistical real-time construction productivity analysis apparatus according to the present invention are driven.

Figure 4a schematically illustrates an embodiment of the drive according to the data collection and analysis, in order to analyze statistics-based real-time construction productivity in accordance with the present invention.

Figure 4b schematically shows an embodiment in which the statistical-based similarity calculation means is driven to analyze the statistical real-time construction productivity according to the present invention.

Figure 4c schematically illustrates an embodiment of the drive based on the statistical real-time construction productivity analysis is delivered to the user in accordance with the present invention.

5 is a flow chart schematically showing a statistical real-time construction productivity analysis method according to the present invention.

Figure 6 is a flow chart schematically showing an embodiment of a statistical real-time construction productivity analysis method according to the present invention.

7 to 11 are views illustrating a process of analyzing productivity when the reference circulation time and the collected circulation time are different.

12 to 15 are views illustrating a process of analyzing the productivity when the reference circulation time and the collected circulation time are similar.

<Brief description of reference numerals for the main parts of the drawings>

1: Statistics based real-time construction productivity analysis device

10: RFID tag 30: cycle time management device

31: RFID reader 32: control unit

33: time provider 34: location provider

35: communication means 50: central management unit

51: communication means 53: control unit

55: database 57: statistical based similarity calculation

70: result data output device 71: control unit

73: display means

Claims (9)

A circulation time providing apparatus provided based on a driving time and a position of each equipment of a construction work, to provide in real time a circulation time for each process performed by each equipment; Receives a cycle time for each process output in real time from the cycle time providing device, calculates a significant probability (P-value) by comparing with the reference cycle time optimized according to the productivity set in each process, and set each process A central management device for comparing a significance level of reliability with the significance probability and outputting a similar degree between the circulation time and the reference circulation time; A result data output device for outputting to the user to remove a delay factor generated in each process when the degree of similarity between the circulation time and the reference circulation time output from the central management device is low; Statistics based real-time construction productivity analysis device comprising a. The method according to claim 1, The central management device A data cluster configured to form a real time circulation time and a preset reference circulation time of each device transmitted from the circulation time management device for each process; A data comparison unit comparing the circulation time with the reference circulation time by using the data clustered by the data clustering unit, and calculating a statistically significant probability; The significance probability is compared with the significance level, but if the significance probability exceeds the significance level, each cycle time is determined to be similar, and if the significance probability is less than the significance level, the data is determined to be different from each cycle time. Determination unit; Statistics-based similarity calculation means consisting of; Statistics-based real-time construction productivity analysis device comprising a. The method according to claim 2, The significance level is statistical real-time construction productivity analysis device, characterized in that can be set for each process or for each equipment. The method according to claim 3, The significance level is selected based on any one of 99% or 95% or 90% statistics based real-time construction productivity analysis device. The method according to claim 1, The result data output device is a statistical real-time construction productivity analysis device, characterized in that connected to the circulation time management device provided at the location where the process proceeds. The method according to claim 1, The result data output device is a statistical real-time construction productivity analysis device, characterized in that for outputting so that the process or equipment corresponding to the delay occurs. The method according to claim 1, The circulation time providing apparatus uses an RFID tag attached to identify each equipment of a construction work, and statistical real-time construction productivity analysis device comprising an RFID reader for reading the RFID tag in a predetermined area. The method according to claim 1, Statistics-based real-time construction productivity analysis device, characterized in that between the circulation time providing device, the central management device and the result data output device is connected by wireless or wired communication. The method according to claim 8, Statistics-based real-time construction productivity analysis device characterized in that between the circulation time providing device and the central management device is connected by short-range wireless communication or long-range wireless communication.

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