JP2012099061A - Work progress situation prediction device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To predict a situation of work progress in such as a construction work with a predefined level of accuracy or better.SOLUTION: A work progress situation prediction device includes a site condition database 2, a material condition database 3 and a human resource database 4. Further, a situation of progress is predicted by quantitatively evaluating an efficiency variation due to (1) site conditions showing such as weather and work area, (2) material conditions showing such as weight and dimensions of materials, and (3) humans resource conditions showing qualification such as experience years. In the site condition database 2, the material condition database 3 and the human resource database 4, an upper limit or a lower limit of an efficiency variation is set in order to determine whether an achievement of work is abnormal.

Description

  The present invention relates to a technique for creating an optimum process based on actual results, for example, by managing and predicting work efficiency of work in plant construction.

  In Patent Document 1, as a data for project planning, a process and a scheduled work completion amount corresponding to the process are held as a database, and the evaluation result and the planned value of the project plan are compared at the stage of evaluating the progress. The technology for managing the progress is disclosed.

JP 2004-5237 A

However, with the technique of Patent Document 1, it is possible to manage the current progress status of work, but it is difficult to predict the progress status of future work.
In general, it is not easy for a construction work of a plant such as a thermal power plant to predict the progress of work with a certain accuracy or more due to the particularity of the contents of the work.

  In view of such circumstances, an object of the present invention is to predict the progress of work such as construction with a certain degree of accuracy.

The present invention quantitatively shows fluctuations in efficiency due to (1) on-site situation indicating weather, work area, (2) material situation indicating material weight, dimensions, etc., (3) personnel situation indicating qualification, years of experience, etc. It is characterized by predicting the progress of work by evaluation.
Details will be described later.

  According to the present invention, it is possible to predict the progress of work such as construction with a certain degree of accuracy.

It is a block diagram which shows the software of the work progress prediction apparatus of this embodiment. It is a figure which shows the data structure of a field condition database. It is a figure which shows the data structure of a material condition database. It is a figure which shows the data structure of a personnel status database. It is a flowchart which shows S curve display processing. It is a flowchart which shows a warning display process.

  Hereinafter, embodiments (hereinafter referred to as “embodiments”) according to the present invention will be specifically described with reference to the drawings.

≪Configuration≫
The work progress prediction apparatus of this embodiment is a computer mainly including hardware such as an input unit, a display unit, a storage unit, and a control unit.
The input unit is an input interface that receives input from the user. The input unit is, for example, a mouse or a keyboard.
The display unit is a display interface that displays a result of information processing by the control unit. The display unit is, for example, a display or a printer.

  The storage unit stores data input from the input unit, data indicating intermediate results or final results of information processing by the control unit, and a program for realizing software included in the work progress prediction apparatus. The storage unit is, for example, a hard disk drive (HDD), a read only memory (also a storage medium), or a random access memory (RAM). This program also includes a work progress prediction program for executing the work progress prediction method.

  The control unit mainly implements predetermined information processing related to prediction of work progress. The control unit is, for example, a CPU (Central Processing Unit). The control unit executes a program stored in the storage unit using data input from the input unit. As a result, cooperation between software and hardware is realized.

  FIG. 1 is a configuration diagram illustrating software of the work progress prediction apparatus according to the present embodiment. This work progress prediction device implements a performance status database 1, a site status database 2, a material status database 3, a human resources status database 4, an optimum work efficiency calculation unit 5, a progress status determination unit 6, and a progress status display processing unit 7. Has a program. These programs are stored in the storage unit of the work progress prediction device, for example.

  The performance status database 1 is a database that manages performance data indicating the performance of work in construction work. The actual data includes, for example, the work name of the work performed in the predetermined period, the material name of the material used for the work in the predetermined period, the quantity of the material used for the work in the predetermined period, and the man-hours completed in the work in the predetermined period including.

  Here, the amount of material may be the amount of material, or may include materials other than materials used in work. The man-hour is a value obtained by multiplying the number of workers engaged in the work by the work time (total work time). For example, if the work hours of each worker are uniformly arranged, the man-hours can be reduced. It can be evaluated as a number. The performance data is tabulated daily, weekly, monthly, etc. for each work, and summarized as daily reports, weekly reports, monthly reports, and the like. The user operates the input unit of the work progress prediction device from daily reports, weekly reports, monthly reports, etc., and inputs the result data. The achievement status database 1 registers the achievement data on a daily basis, for example. Note that weekly or monthly result data may be registered.

  Further, the user operates the input unit of the work progress prediction device and inputs the plan data from a design plan written in advance and describing details of the work in the construction work. The plan data includes, for example, the work name of the target work, the names of all materials scheduled to be used for the work, the quantities of all materials to be used for the work (total quantity), and all the plans to be completed in the work Schedule data indicating the change in man-hours (total man-hours) and the use of materials, quantity, and man-hours in the work. By comparing the actual data and the plan data, it is possible to obtain the remaining quantity indicating the remaining quantity at a certain point in the work period and the remaining man-hour indicating the remaining man-hour.

The site situation database 2 is a database that manages data indicating the features of the site of work in construction work.
The material status database 3 is a database for managing data indicating the characteristics of materials used for work in construction work.
The human resource status database 4 is a database that manages data indicating characteristics of workers who perform work in construction work.
These databases are created for each construction work, for example.
Details of these databases will be described later.

  The optimum work efficiency calculation unit 5 calculates the predicted value indicating the progress of the work at a time later than that time based on the work progress at the time indicated by the result data acquired by the work progress prediction device. Calculate the parameters. This predicted value is, for example, an actual value of 1 day later, 2 days later,... The optimum work efficiency calculation unit 5 refers to the result situation database 1, the site situation database 2, the material situation database 3, and the personnel situation database 4, and calculates this parameter as the optimum work efficiency.

  The optimum work efficiency is the most probable value of the construction work achievement rate at the time of prediction based on the current work situation. In other words, given the current work situation, the expectation that the expected value will be reached at some point in the future is the highest achievement rate. The calculation method of the optimum work efficiency will be described later.

  The progress status determination unit 6 determines the quality of the progress status of the work indicated by the performance data using the optimum work efficiency. The control unit of the work progress prediction apparatus increases or decreases the number of workers or changes plan data according to the determination result, for example, by an input from the input unit by the user.

  The progress display processing unit 7 mainly displays the actual value of the work progress indicated by the actual data acquired by the work progress prediction device and the predicted value of the work progress based on the optimum work efficiency. Display on the display. On the display unit of the work progress prediction device, the optimum man-hour volume S curve, the optimum quantity volume S curve, and a warning are displayed as the processing result by the progress status display processing unit 7.

The optimum man-hour volume S curve indicates an optimum value of man-hours obtained using optimum work efficiency in a graph in which the horizontal axis represents the elapsed time of work of construction work and the vertical axis represents the man-hour required for the work.
In general, it is known that the actual value of the man-hour draws an S curve as time elapses. In other words, it is known that the degree of progress of construction progresses moderately in the initial stage, rapidly progresses in the medium-term stage, and gradually progresses again in the final stage. The optimum value of the man-hour is generally drawn as an S curve.

  The optimum quantity output curve S curve shows the optimum value of the quantity obtained using optimum work efficiency in a graph in which the horizontal axis represents the elapsed time of work of construction work and the vertical axis represents the quantity required for the work. In general, it is known that the actual value of the physical quantity draws an S curve as time passes, and the optimum value of the physical quantity also generally draws an S curve.

  The warning indicates that the progress status of the work is a situation that suggests some abnormality that hinders the work. The display unit of the work progress prediction device displays a warning that informs the user of the abnormality.

The site situation database 2 will be described.
FIG. 2 is a diagram showing a data structure of the field situation database.

  The records of the site situation database 2 have items such as “weather”, “work area”, “work floor”, and “adjacent work”. In the field of the on-site situation database 2, items such as “optimum”, “upper limit”, and “lower limit” are provided. The value registered in the on-site situation database 2 is a numerical value calculated quantitatively based on the empirical rules of past construction work. This numerical value is referred to as an efficiency variation coefficient (related to the on-site situation) (a first efficiency variation coefficient indicating a variation that affects the work efficiency of the work in the future).

In the “optimum” field, an optimum coefficient that is an optimum value of the efficiency variation coefficient corresponding to the item indicated by the record in the field situation database 2 is registered. The optimum coefficient takes a value from 0 to 1 for the item indicated by the record in the field situation database 2.
In the “upper limit” field, an upper limit coefficient that is an upper limit value of the efficiency variation coefficient corresponding to the item indicated by the record in the field situation database 2 is registered. The upper limit coefficient takes a value larger than the optimum coefficient for the item indicated by the record in the field situation database 2, and may exceed 1 depending on the item of the record.
In the “lower limit” field, a lower limit coefficient that is a lower limit value of the efficiency variation coefficient corresponding to the item indicated by the record in the field situation database 2 is registered. The lower limit coefficient takes a value smaller than the optimum coefficient for the item indicated by the record in the field situation database 2, but generally does not fall below zero.

  In the “weather” record, an efficiency variation coefficient (optimum coefficient, upper limit coefficient, lower limit coefficient) corresponding to the weather at the construction site at a certain time in the future is registered. In the “weather” record, items such as “sunny”, “cloudy”, and “rain” are further provided.

In the “clear” record, an efficiency variation coefficient when the weather at the construction site at a certain time in the future is clear is registered.
In the “cloudy” record, an efficiency variation coefficient when the weather on the construction site at a certain time in the future is cloudy is registered.
In the “rain” record, an efficiency variation coefficient is registered when the weather on the construction site at a certain time in the future is rain.
As for the future weather, for example, the work progress prediction device is connected to a server that publishes a website that provides a weather forecast service so as to be able to communicate, and acquires information from the server. It is determined whether it falls under "Sunny", "Cloudy" or "Rain".

In the “work area” record, an efficiency variation coefficient (optimum coefficient, upper limit coefficient, lower limit coefficient) corresponding to the construction site area at a certain time in the future is registered. The record of “work area” is further provided with items such as “XXm ² or more”, “ΔΔm ² to XXm ² ”, and “ΔΔm ² or less”.

In the record “XXm ² or more”, an efficiency variation coefficient when the area of the construction site at a certain point in the future is XXm ² or more is registered.
The record of the "△△ m ^{2 ~} ○○ m ^2", the efficiency coefficient of variation is registered at the time when the area of the construction site at some point in the future was in the range of △△ m ^{2 ~} ○○ m ² .
In the record of “ΔΔm ² or less”, an efficiency variation coefficient when the area of the construction site at a certain time in the future is ΔΔm ² or less is registered.
As for the area of the construction site, for example, by inputting the value of the area of the construction site included in the plan data from the input unit of the work progress prediction device, “XXm ² or more”, “ΔΔm” ² to OOm ² "or" ΔΔm ² or less "is determined.

  In the “work floor” record, efficiency variation coefficients (optimum coefficient, upper limit coefficient, lower limit coefficient) corresponding to the work floor of the construction site at a certain time in the future are registered. The “work floor” record further includes items such as “underground”, “1F”, “2F”, and “3F or higher”.

In the “underground” record, an efficiency variation coefficient when the work floor of the construction site at a certain time in the future is underground is registered.
In the record “1F”, an efficiency variation coefficient when the work floor of the construction site at a certain time in the future is 1F is registered.
In the record “2F”, an efficiency variation coefficient when the work floor of the construction site at a certain time in the future is 2F is registered.
In the “3F or higher” record, an efficiency variation coefficient when the work floor of the construction site at a certain point in the future is 3F or higher is registered.
As for the work floor at the construction site, for example, by inputting a value indicating the work floor at the construction site included in the plan data from the input unit of the work progress prediction device, “underground”, “1F”, “ 2F "or" 3F or more "is determined.

  In the record of “adjacent work”, there is an efficiency variation coefficient (optimum coefficient, upper limit coefficient, lower limit coefficient) corresponding to the work (adjacent work) performed next to the work in cooperation with the work on the construction site at a certain time in the future. be registered. The “work floor” record further includes items such as “present” and “none”.

In the “present” record, an efficiency variation coefficient when there is a work adjacent to the work on the construction site at a certain point in the future is registered.
In the “none” record, an efficiency variation coefficient when there is no work adjacent to the work on the construction site at a certain point in the future is registered.
Regarding the adjacent work on the construction site, for example, by inputting a value indicating the presence or absence of the adjacent work on the construction site included in the plan data from the input unit of the work progress prediction device, “Yes” and “No” Determine which of the following applies.

When the optimum work efficiency is calculated by the optimum work efficiency calculation unit 5, the optimum work efficiency a in accordance with the on-site situation obtained from the on-site situation database 2 is the efficiency variation coefficient related to “weather” a 1, and the efficiency about the “work area” Assuming that the variation coefficient is a2, the efficiency variation coefficient related to “work floor” is a3, and the efficiency variation coefficient related to “adjacent work” is a4, for example,

a = a1 * a2 * a3 * a4 ... Formula 1

Is calculated as

The material status database 3 will be described.
FIG. 3 is a diagram illustrating a data structure of the material status database.

The record of the material status database 3 includes items such as “material weight”, “material dimension”, and “material material”. In the field of the material status database 3, items such as “optimum”, “upper limit”, and “lower limit” are provided. The value registered in the material status database 3 is a numerical value calculated quantitatively based on the empirical rules of past construction work. This numerical value is referred to as an efficiency variation coefficient (related to the material status) (second efficiency variation coefficient indicating a variation that affects the work efficiency of work in the future).
The “optimal”, “upper limit” and “lower limit” fields are basically the same as those in the field situation database 2 and will not be described.

  In the “material weight” record, an efficiency variation coefficient (optimum coefficient, upper limit coefficient, lower limit coefficient) corresponding to the weight of the material used at a certain time in the future is registered. The record of “material weight” is further provided with items such as “XX kg or more”, “ΔΔkg to XX kg”, and “ΔΔkg or less”.

In the record “XX kg or more”, an efficiency variation coefficient when the weight of the material used at a certain time in the future is XX kg or more is registered.
In the record “ΔΔkg to OOkg”, an efficiency variation coefficient is registered when the weight of the material used at a certain time in the future is within the range of ΔΔkg to OOkg.
In the record “ΔΔkg or less”, an efficiency variation coefficient when the weight of the material used at a certain time in the future is ΔΔkg or less is registered.
In addition, about the weight of material, for example, by inputting the value of the weight of the material included in the plan data from the input unit of the work progress prediction device, “XX kg or more”, “ΔΔkg to XX” It is determined whether it corresponds to “kg” or “ΔΔkg or less”.

In the “material dimension” record, an efficiency variation coefficient (optimum coefficient, upper limit coefficient, lower limit coefficient) corresponding to the dimension (volume) of the material used at a certain time in the future is registered. The record of “material dimensions” is further provided with items such as “XX m ³ or more”, “ΔΔm ³ to XX m ³ ”, and “ΔΔm ³ or less”.

The record of the "○○ m ³ or more", the efficiency coefficient of variation when the dimensions of the materials used in the future time of was ○○ m ³ or more is registered.
The record of the "△△ m ^{3 ~} ○○ m ^3", the efficiency coefficient of variation is registered when the dimensions of the materials used in some time in the future was in the range of △△ m ^{3 ~} ○○ m ³ .
In the record “ΔΔm ³ or less”, an efficiency variation coefficient when the size of the material used at a certain time in the future is ΔΔm ³ or less is registered.
In addition, about the dimension of material, for example, by inputting the value of the dimension of the material included in the plan data from the input unit of the work progress prediction device, “○ m ³ or more”, “ΔΔm ^3- It is determined whether it corresponds to “○ m ³ ” or “ΔΔm ³ or less”.

  In the “material material” record, an efficiency variation coefficient (optimum coefficient, upper limit coefficient, lower limit coefficient) corresponding to the material material used at a certain time in the future is registered. The “material material” record further includes items such as “carbon steel”, “stainless steel”, and “others”.

In the “carbon steel” record, the coefficient of efficiency variation when the material of the material used at a certain time in the future is carbon steel is registered.
In the “stainless steel” record, the coefficient of efficiency variation when the material used at a certain time in the future is stainless steel is registered.
In the “other” record, an efficiency variation coefficient when the material of the material used at a certain time in the future is other is registered.
As for the material of the material, for example, by inputting a value indicating the material of the material included in the plan data from the input part of the work progress prediction device, “carbon steel”, “stainless steel”, and “others” ""

When the optimum work efficiency is calculated by the optimum work efficiency calculation unit 5, the optimum work efficiency b in accordance with the material situation obtained from the material situation database 3 is related to the efficiency variation coefficient relating to “material weight” b1 and “material dimensions”. If the efficiency variation coefficient is b2, and the efficiency variation coefficient related to “material material” is b3, for example,

b = b1 × b2 × b3 Expression 2

Is calculated as

The human resource situation database 4 will be described.
FIG. 4 is a diagram illustrating a data structure of the human resource situation database.

The records of the personnel status database 4 have items such as “qualification” and “work record”. In the field of the personnel status database 4, items such as “optimum”, “upper limit”, and “lower limit” are provided. The value registered in the personnel situation database 4 is a numerical value calculated quantitatively based on the past rule of construction. This numerical value is referred to as an efficiency variation coefficient (related to the human resource situation) (a third efficiency variation coefficient indicating a variation that affects the work efficiency of work in the future).
The “optimal”, “upper limit” and “lower limit” fields are basically the same as those in the field situation database 2 and will not be described.

  In the “qualification” record, an efficiency variation coefficient (optimum coefficient, upper limit coefficient, lower limit coefficient) corresponding to the qualification (for construction) of a worker who performs work at a certain time in the future is registered. In the “qualification” record, items “present” and “none” are further provided.

In the “Yes” record, an efficiency variation coefficient when there is a qualification possessed by a worker who performs work at a certain time in the future is registered.
In the “None” record, an efficiency variation coefficient when there is no qualification of a worker who performs work at a certain time in the future is registered.
In addition, about the qualification that the worker has, for example, by inputting a value indicating whether the worker has the qualification included in the plan data from the input unit of the work progress prediction device, "Yes" and " Decide whether it falls under “None”.

  In the “work performance” record, an efficiency variation coefficient (optimum coefficient, upper limit coefficient, lower limit coefficient) corresponding to the work experience (for construction) of a worker who performs work at a certain time in the future is registered. The “work record” record further includes items such as “present” and “none”.

In the “Yes” record, an efficiency variation coefficient when there is a work experience of a worker who performs work at a certain time in the future is registered.
In the “None” record, an efficiency variation coefficient when there is no practical experience of a worker who performs work at a certain time in the future is registered.
As for the work performance of the worker, for example, by inputting a value indicating the presence or absence of the work performance of the worker, which is included in the plan data from the input unit of the work progress prediction device, “Yes” and “ Decide whether it falls under “None”.

When the optimum work efficiency is calculated by the optimum work efficiency calculation unit 5, the optimum work efficiency c in accordance with the personnel situation obtained from the personnel situation database 4 is the efficiency variation coefficient relating to “qualification” c1, and the efficiency relating to “work performance” If the coefficient of variation is c2, for example

c = c1 × c2 Formula 3

Is calculated as

By the way, the work efficiency on a certain performance day indicated by the performance data, that is, the actual work efficiency P which is the achievement rate of the current work is obtained by using the quantity on the performance date and the man-hour on the performance date.

P = (quantity on the actual date) / (man-hours on the actual date) Formula 4

Is calculated.
The optimum work efficiency calculation unit 5 uses the optimum work efficiencies a, b, and c obtained by referring to the actual work efficiency P, the site situation database 2, the material situation database 3, and the human resource situation database 4, respectively, for example. The optimal work efficiency Q at a certain point in time (eg after 1 day)

Q = P * a * b * c ... Formula 5

And calculate. As will be described later, a predicted value indicating the progress of work is calculated using the optimum work efficiency Q.

<< Process >>
Next, processing performed by the work progress prediction apparatus of the present embodiment will be described in detail. The subject of the processing performed by the work progress prediction apparatus is the control unit of the work progress prediction apparatus.

First, S-curve display processing will be described as processing performed by the work progress prediction device.
FIG. 5 is a flowchart showing the S curve display process. First, the S curve display process starts from the process of step S501.

  In step S501, as described above, the control unit calculates the actual work efficiency P using the actual data. After the process of step S501, the process proceeds to step S502.

  In step S502, the control unit calculates the optimum work efficiency Q as described above. After the process of step S502, the process proceeds to step S503.

In step S503, the control unit calculates a required work efficiency R. The required work efficiency R is an unachieved rate of work at the present time. The required work efficiency R is obtained by using, for example, the quantity remaining on the actual date (referred to as “remaining quantity”) and the man-hour remaining on the actual date (referred to as “remaining effort”).

R = (Remaining amount) / (Remaining man-hours) ... Formula 6

Is calculated. The remaining quantity is calculated, for example, as a difference between the total quantity included in the plan data and the quantity of all the supplies used for the work up to the actual date. The remaining man-hours are calculated, for example, as a difference between all man-hours included in the plan data and all man-hours performed up to the actual date. After the process of step S503, the process proceeds to step S504.

  In step S504, the control unit determines whether or not the optimum work efficiency Q exceeds the required work efficiency R. If it exceeds (Yes in step S504), it means that it can be predicted that the work is progressing earlier than scheduled, and the process proceeds to step S505. On the other hand, if it does not exceed (No in step S504), it means that it can be predicted that the work is progressing later than scheduled, and the process proceeds to step S506. If the optimum work efficiency Q and the required work efficiency R are the same, for example, whether to proceed to either step S505 or step S506 or to skip both steps may be determined as a design matter. .

  In step S505, the control unit reduces the number of workers and determines the number of reductions based on the prediction that the work is progressing earlier than planned. At this time, for example, the number of workers is reduced so that the value of the optimum work efficiency Q is the same as or substantially the same as the required work efficiency R. Incidentally, if the number of workers decreases, the remaining man-hours decrease (the amount of work per worker increases), and the required work efficiency R increases. In this way, the cost of human resources can be reduced by reducing the number of workers to such an extent that the work progress is not hindered. After the process of step S505, the process proceeds to step S507.

  In step S506, the control unit increases the number of workers and determines the increase number based on the prediction that the work is progressing later than scheduled. At this time, for example, the number of workers is increased so that the value of the optimum work efficiency Q is the same as or substantially the same as the required work efficiency R. Incidentally, if the number of workers increases, the remaining man-hours increase (the amount of work per worker decreases), and the required work efficiency R decreases. In this way, by increasing the number of workers to such an extent that the progress of the work is not hindered, it is possible to minimize the increase in the cost of human resources. After the process of step S506, the process proceeds to step S507.

  In step S507, the control unit changes the plan data according to the reduction or increase in the number of workers. As the change of the plan data, for example, there is a change in which the reduced or increased number of workers is allocated at the construction site, or the plan is reviewed by extending or expediting the work completion deadline. After the process of step S507, the process proceeds to step S508.

  In step S508, the control unit displays the optimum man-hour volume S curve on the display unit of the work progress prediction device. The optimum man-hour output S curve to be displayed basically draws the optimum value of the man-hour based on the optimum work efficiency Q using the changed plan data in consideration of the reduction or increase of workers in step S505 or step S506. It is a thing. However, the optimum man-hour output S curve including the optimum value of the man-hour before taking into account the reduction or increase of the worker, that is, the drawing of the optimum man-hour value based on the optimum work efficiency Q based on the current work state May be displayed. After the process of step S508, the process proceeds to step S509.

In step S509, the control unit displays the optimum product quantity S curve on the display unit of the work progress prediction apparatus. The optimum quantity output S curve to be displayed basically draws the optimum value of the quantity based on the optimum work efficiency Q using the plan data that takes into account the reduction or increase of workers in step S505 or S506. It is a thing. However, the optimum quantity output S curve is also drawn together with the optimum quantity quantity before taking into account the reduction or increase of the workers, that is, the figure showing the optimum quantity quantity based on the optimum work efficiency Q based on the current work state. May be displayed.
The optimum value of the physical quantity is equal to the optimum work efficiency Q multiplied by the optimum value of the man-hour in step S508.
Thus, the S curve display process ends.

Next, warning display processing will be described as processing performed by the work progress prediction device.
FIG. 6 is a flowchart showing the warning display process. The warning display process starts from the process of step S601.

  In step S601, the control unit calculates the actual work efficiency P using the actual data in the same manner as in step S501 (see FIG. 5). After the process of step S601, the process proceeds to step S602.

  In step S602, the control unit calculates an upper limit QU of the optimum work efficiency Q. The upper limit QU of the optimum work efficiency Q is obtained as follows.

In other words, first, the upper limit (au) of the optimum work efficiency a in accordance with the site situation is the “weather” record, “work area” record registered in the “upper limit” field of the site situation database 2, It is calculated as the product of the record of “work floor” and the record of “adjacent work”, that is, the upper limit coefficient (a1 × a2 × a3 × a4 of the upper limit coefficient). Note that “values of“ weather ”record,“ work area ”record,“ work floor ”record,“ adjacent work ”record” are future records among the records further set for each of these records. Means the value of the corresponding record at a certain point in time.
Further, the upper limit (referred to as bu) of the optimum work efficiency b in accordance with the material status is the “material weight” record, “material dimension” record, “ It is calculated as the value of the record “material”, that is, the product of the upper limit coefficient (b1 × b2 × b3 of the upper limit coefficient). Note that “values of“ material weight ”record,“ material dimension ”record, and“ material material ”record” are records that are set for each of these records and that correspond at some point in the future. Means the value of
Further, the upper limit (referred to as “cu”) of the optimum work efficiency c in accordance with the personnel situation is the value of the “qualification” record, the “work performance” record registered in the “upper limit” field of the personnel situation database 4, That is, it is calculated as the product of the upper limit coefficients (upper limit coefficient c1 × c2). It should be noted that “value of“ qualification ”record and“ work record ”record” means a value of a corresponding record at a certain time in the future among records further set in each of these records.

  At this time, the upper limit QU of the optimum work efficiency Q is calculated as P × au × bu × cu. In general, the upper limit QU of the optimum work efficiency Q is larger than the optimum work efficiency Q. After the process of step S602, the process proceeds to step S603.

  In step S603, the control unit calculates the lower limit QL of the optimum work efficiency Q. The lower limit QL of the optimum work efficiency Q is obtained as follows.

That is, first, the lower limit (al) of the optimum work efficiency a in accordance with the site situation is the “weather” record, “work area” record registered in the “lower limit” field of the site situation database 2, It is calculated as the product of the record of “work floor” and the record of “adjacent work”, that is, the lower limit coefficient (lower coefficient a1 × a2 × a3 × a4). In addition, the meaning of the value of these records is based on the meaning when the above-described upper limit coefficient is described.
Also, the lower limit (bl) of the optimum work efficiency b in accordance with the material status is the “material weight” record, “material dimension” record, “ It is calculated as the value of the record of “material”, that is, the product of the lower limit coefficients (lower limit coefficients b1 × b2 × b3). In addition, the meaning of the value of these records is based on the meaning when the above-described upper limit coefficient is described.
Further, the lower limit (cl) of the optimum work efficiency c in accordance with the personnel situation is the value of the record of “qualification”, the record of “work performance” registered in the “lower limit” field of the personnel situation database 4, That is, it is calculated as a product of lower limit coefficients (lower limit coefficient c1 × c2). In addition, the meaning of the value of these records is based on the meaning when the above-described upper limit coefficient is described.

  At this time, the lower limit QL of the optimum work efficiency Q is calculated as P × al × bl × cl. Generally, the lower limit QL of the optimum work efficiency Q is smaller than the optimum work efficiency Q. After the process of step S603, the process proceeds to step S604.

In step S604, the control unit determines whether or not a condition that the actual work efficiency P is larger than the lower limit QL of the optimum work efficiency Q and smaller than the upper limit QU of the optimum work efficiency Q. If the condition is satisfied (Yes in step S604), it is considered that no abnormality has occurred in the progress status of the work, and the process is terminated. If the condition is not satisfied (No in step S604), it is assumed that some abnormality has occurred in the progress status of the work, and the process proceeds to step S605.
When the actual work efficiency P is the same as the lower limit QL of the optimum work efficiency Q and the upper limit QU of the optimum work efficiency Q, for example, it is designed whether the process proceeds to step S605 or the process is finished. You should decide as a matter.

In step S605, the control unit displays a warning on the display unit of the work progress prediction apparatus. The user looks at the warning display to investigate the cause of the abnormality.
Thus, the warning display process ends.

≪Summary≫
According to the present embodiment, the progress of work such as construction can be predicted with a certain degree of accuracy by quantitatively evaluating the efficiency fluctuation from the viewpoint of the site situation, material situation, and human resource situation.
In particular, it is possible to quantitatively determine the optimum value of the work that can be expected in the future with respect to the actual value of the current work, based on the characteristic that the amount of work indicating the progress of the work and the work volume of the work draw an S curve. . Therefore, the number of workers required for building work can be adjusted.
In the field situation database 2, the material situation database 3, and the personnel situation database 4, an upper limit and a lower limit are set for the efficiency variation coefficient of each record. Thereby, it is possible to alert the user who manages the progress status by performing abnormality determination on the performance work efficiency and displaying a warning.

≪Others≫
The above embodiment is suitable for carrying out the present invention, but the form of implementation is not limited thereto, and various modifications can be made without departing from the scope of the present invention. It is.

  For example, in the present embodiment, the optimum work efficiency Q is basically obtained by obtaining the product of the efficiency variation coefficients for the on-site situation, the material situation, and the personnel situation and multiplying the product by the actual work efficiency P. However, for example, the optimum work efficiency Q may be obtained by acting on the actual work efficiency P not only using the product of the efficiency variation coefficients but also using arithmetic operations, logarithms, and exponents. Depending on the work content of the construction work, an appropriate four arithmetic operation or an operation using a logarithm or exponent may be used according to an empirical rule.

  Moreover, in this embodiment, the optimal work efficiency Q was calculated | required as an optimal work efficiency 1 day after a performance day as an example (Formula 5). At this time, the product of the optimum work efficiency a, b, c obtained by referring to the on-site situation database 2, the material situation database 3, and the human resource situation database 4 is multiplied by the optimum work efficiency Q once again to obtain the actual date. It is possible to obtain the optimum work efficiency after 2 days. Furthermore, if this multiplication is continued, the optimum work efficiency in 3 days, 4 days, and so on can be obtained.

In the present embodiment, in the S curve display process (see FIG. 5), the number of workers is reduced or increased (step S505, step S506), or the plan data is changed (step S507). The optimum man-hour volume S curve and the optimum quantity volume S curve are displayed. However, step S505 to step S507 may be omitted. That is, both S curves may be displayed in a state where the number of workers is not changed and the plan data is not changed. Thereby, both S curves by the calculated optimum work efficiency Q can be displayed, and the future progress status predicted from the current progress status can be displayed.
Further, the S curve to be displayed may be at least one of the optimum man-hour volume S curve and the optimum material quantity S curve.
Further, the S curve to be displayed may be at least one of the optimum manhour volume S curve and the optimum material quantity S curve corresponding to the upper limit QU and the lower limit QL of the optimum work efficiency Q.

  In addition, it is possible to realize a technique in which various techniques described in this embodiment are appropriately combined.

  In addition, specific configurations of hardware, software, flowcharts, and the like can be appropriately changed without departing from the spirit of the present invention.

1 Performance Status Database 2 Site Status Database 3 Material Status Database 4 Personnel Status Database 5 Optimal Work Efficiency Calculation Unit 6 Progress Status Determination Unit 7 Progress Status Display Processing Unit

Claims (3)

In the work progress prediction device that predicts the progress of work in construction work,
The storage unit of the work progress prediction device includes:
A performance database that shows the performance of the work and manages the performance data including the quantity and man-hours within the predetermined period for the work;
An on-site situation database including an optimum value of the first efficiency variation coefficient indicating fluctuations caused by the on-site situation of work and affecting the work efficiency of the work in the future;
A material status database including an optimum value of the second efficiency variation coefficient indicating a variation caused by the material status of the work and affecting the work efficiency of the work in the future;
A human resources situation database including an optimum value of a third efficiency variation coefficient indicating fluctuations caused by work human resource situations and affecting future work efficiency;
The control unit of the work progress prediction device includes:
Based on the quantity of the actual data and the man-hours, control for calculating actual work efficiency which is work efficiency on the actual date;
The calculated actual work efficiency, the optimum value of the first efficiency fluctuation coefficient acquired from the site situation database, the optimum value of the second efficiency fluctuation coefficient obtained from the material situation database, and the human resource situation database And a control for calculating an optimum work efficiency that is an optimum value of the work efficiency in the future based on the optimum value of the third efficiency variation coefficient acquired from the work progress prediction device. The control unit of the work progress prediction device includes:
Based on the calculated optimum work efficiency, the display unit of the work progress prediction device displays an optimum work volume S curve indicating the change in the optimum value of the work quantity with time and an optimum work volume S curve showing the change in the work value over time. The work progress prediction apparatus according to claim 1, wherein control for displaying at least one is executed. The field situation database includes an upper limit value and a lower limit value of the first efficiency variation coefficient,
The material status database includes an upper limit value and a lower limit value of the second efficiency variation coefficient,
The personnel status database includes an upper limit value and a lower limit value of the third efficiency variation coefficient,
The control unit of the work progress prediction device includes:
The calculated actual work efficiency, the upper limit value of the first efficiency fluctuation coefficient acquired from the site situation database, the upper limit value of the second efficiency fluctuation coefficient acquired from the material situation database, and the human resource situation database Control for calculating the upper limit value of the optimum work efficiency based on the upper limit value of the third efficiency variation coefficient acquired from
The calculated actual work efficiency, the lower limit value of the first efficiency fluctuation coefficient acquired from the site situation database, the lower limit value of the second efficiency fluctuation coefficient acquired from the material situation database, and the human resource situation database Control for calculating a lower limit value of the optimum work efficiency based on a lower limit value of the third efficiency variation coefficient acquired from
Control for determining whether or not the actual work efficiency satisfies a condition that it is larger than a lower limit value of the optimum work efficiency and smaller than an upper limit value of the optimum work efficiency;
The work progress prediction apparatus according to claim 1, wherein when the condition is not satisfied by the determination, control for displaying a warning on the display unit of the work progress prediction apparatus is executed.

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