CN116862545A - Dynamic analysis method and system for engineering cost - Google Patents
Dynamic analysis method and system for engineering cost Download PDFInfo
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Abstract
The invention relates to the technical field of data processing, in particular to a dynamic analysis method and a dynamic analysis system for engineering cost, which comprise the following steps: inputting the engineering quantity list and the list unit price into a recording module to calculate the engineering initial price; the information acquisition module is used for determining the theoretical cost unit price of the engineering by taking month as a period and storing the theoretical cost unit price into the recording module; the information acquisition module is used for recording and calling with a month as a period; comparing the recorded theoretical cost unit price of each month with the actual cost unit price by utilizing a calculation module so as to alarm abnormal expenditure of the engineering; the actual cost total price and the theoretical cost total price of the finished part of the engineering are compared to judge the current profitability of the engineering. The theoretical cost of the engineering is determined by collecting the market labor cost and the material cost, and the engineering profit state is determined according to the theoretical cost, so that the accuracy of the engineering cost is improved while the input cost is effectively prevented from being controlled by personnel.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a dynamic analysis method and system for engineering cost.
Background
With the progress of society, the composition of engineering cost is more accurate and refined, and meanwhile, the engineering cost is opaque to a certain extent, which is extremely unfavorable for cost control and audit of engineering projects. Chinese patent application publication No.: CN109325665a discloses a method and system for evaluating construction cost, which fully considers construction installation construction unilateral construction cost indexes under different factors by utilizing multi-index dimensions, so that construction cost evaluation is not transparent; chinese patent application publication No.: CN112699182a discloses a construction cost data management system, which uses a setting ordering module, a blockchain processing module, an acquisition module, an information extraction module, a calculation module, a data storage module, a verification module, a decryption module and an addition module to prevent unqualified construction cost data and improve the accuracy of construction cost statistics; chinese patent application publication No.: CN114579622a discloses a multidimensional analysis system for engineering cost, which obtains optimal engineering cost data by means of a server module, an electric power capital construction engineering data uploading module, an electric power capital construction engineering historical cost data acquisition module, a 5G transmission network, a visual modeling unit, an engineering cost data comparison analysis module and an engineering cost data output unit, and greatly improves the efficiency and precision of multidimensional analysis.
It can be seen that the above technical solution has the following problems: by means of manual input, effective transmission of images to the engineering cost caused by market price change cannot be avoided, so that transparency of the engineering cost is reduced, and the engineering cost is inaccurate.
Disclosure of Invention
Therefore, the invention provides a dynamic analysis method and a dynamic analysis system for engineering cost. The method is used for solving the problems that the transparency of the engineering cost is reduced and the engineering cost is inaccurate due to the fact that the image caused by market price change is effectively transmitted to the engineering cost by means of manual input in the prior art.
In one aspect, the present invention provides a dynamic analysis method for engineering cost, including:
step S1, inputting an engineering quantity list and a list unit price into a recording module, and calculating an engineering initial price according to the engineering quantity list and the list unit price by using a calculating module;
s2, collecting manual prices and material prices of the engineering places by using the information acquisition module in a month period, and determining theoretical cost unit price of the engineering and storing the unit price into the recording module by using the Internet;
s3, collecting the actual cost unit price generated by construction by using the information acquisition module with a month as a period, and storing the unit price into the recording module for recording and calling;
s4, comparing the recorded theoretical cost unit price of each month with the actual cost unit price by utilizing the calculation module, and alarming abnormal expenditure of the engineering;
and S5, comparing the actual cost total price and the theoretical cost total price of the finished part of the engineering to judge the current profitability of the engineering.
The information acquisition module can input the goods entering quantity through the interaction equipment, and records the collected material price as the main material price according to the input time by taking month as a unit, so that the transparency reduction of the engineering cost caused by manually inputting the main material price is avoided.
Further, for a single month, the information acquisition module collects unit artificial prices of sampling points in a preset range with a single engineering project as a center, and is used for judging the local unit artificial price of the engineering project, for the unit artificial price of the i sampling point, the distance between the unit artificial price and the engineering project is Li, the commuting time is Ti, the weight is Qi, i=1, 2,3, …, n, n is the maximum sampling point number, qi=0, 1,2, the information acquisition module is provided with a first preset distance Lalpha and a second preset distance Lbeta, wherein 0 is less than Lalpha and less than Lbeta, the first preset distance Lalpha is the distance between the nearest sampling point and the second preset distance Lbeta is the distance between the nearest sampling point, the unit artificial price of the engineering project is dynamically determined by analyzing the distance between the sampling points and the engineering project,
if Li is smaller than Lalpha, the information acquisition module judges that the ith sampling point is close to the engineering project, and assigns a weight Qi as 2,
if Lalpha is less than or equal to Li and less than Lbeta, the information acquisition module judges that the ith sampling point is moderate from the engineering project and further judges according to the commute time Ti,
if Li is more than or equal to Lbeta, the information acquisition module judges that the ith sampling point is far away from the engineering project, and further judges according to the commute time.
Further, for the i-th commute time for the sampling point to reach the engineering project to be Ti, the information acquisition module is provided with a first preset commute time T alpha and a second preset commute time T beta, wherein 0 is less than T alpha and less than T beta, the first preset commute time T alpha is short commute time, the second preset commute time T beta is long commute time, ti is compared with T alpha and T beta, so as to assign a value Qi to the i-th sampling point through commute time length,
if Ti is less than or equal to T alpha, the information acquisition module judges the commute time length of the ith sampling point from the engineering project, and assigns a weight Qi as 2,
if T alpha is smaller than Ti and smaller than T beta, the information acquisition module judges that the i sampling point is moderate in commute time length from the engineering project, and assigns a weight Qi to 1,
if Tbeta is smaller than Ti, the information acquisition module judges that the ith sampling point is longer than the commute time of the engineering project, and assigns a weight Qi to 0.
Further, for the i-th sampling point, the unit manual price thereof is Ri, and for the unit manual price R0 of the engineering project, the unit manual price is represented by the formula (1):
where Σ () is the sum formula.
Further, for a single month, the j-th material used in the project has a distance of Ljk from the project at a kth shipment location, a price increase coefficient caused by transportation cost of Zjk, where j=1, 2,3, …, m, m is the total number of material types of the project, k=1, 2,3, …, q, q is the total number of material asset locations, zjk =1, 2,3, the information acquisition module is provided with a first preset distance Lα and a second preset distance Lβ, wherein 0 < Lα < Lβ, the first preset distance Lα is a short transportation distance, the second preset distance Lβ is an ultra-long transportation distance, and Ljk is compared with Lα and Lβ to determine the price increase coefficient caused by transportation cost thereof,
if Ljk is less than Lα, the collecting module judges that the kth shipment area of the jth material is close to the engineering project, and assigns a price rising coefficient caused by the transportation cost as Zjk to be 1;
if Lα is less than or equal to Ljk and less than Lβ, the collecting module judges that the distance between the kth shipment area of the jth material and the engineering project is moderate, and assigns a price rising coefficient caused by the transportation cost as Zjk to be 2;
if Lbeta is less than Ljk, the collecting module judges that the kth shipment area of the jth material is far away from the engineering project, and assigns a price rising coefficient caused by the transportation cost as Zjk to be 3;
the collecting module is provided with a transportation cost adjusting value c according to the transportation unit price around the engineering project, for the j-th material, the k-th shipment unit price is Wjk, the supply quantity of each shipment place is Sk, the total quantity of the materials is Sj, and the theoretical unit price Wj is determined by the formula (2):
where Σ () is the sum formula.
Further, for a single month, the calculation module adjusts the rated price according to the unit manual price R0 collected by the information collection module, takes each material price Wj as a main price, and calculates the theoretical cost V of the month according to the rated price and the main price.
Further, for a single month, the calculation module determines an actual cost V 'and a list cost V″ according to the total number of materials Sj of the materials collected by the information collection module, and compares the theoretical cost V with the actual cost V' and the list cost V″ respectively,
if V is less than V', the calculation module judges that the cost is normal and sends the judging result to the alarm module;
if V is more than or equal to V ', the calculation module judges that the theoretical cost is too high, and compares the actual cost V' with the list cost V 'according to the actual cost V' so as to judge the reason of the too high cost;
if V' is more than or equal to V ", the calculation module judges the actual loss of the part of the list and sends the actual loss of the list to the alarm module as a judging result;
if V '< V', the calculation module judges that the partial shipment volume is abnormal, and sends the shipment abnormality to the alarm module as a judgment result;
and the alarm module respectively alarms according to the result sent by the calculation module, wherein if abnormal shipment alarm occurs, the alarm module simultaneously sends the alarm to the supervisor superior authority of the engineering project.
In another aspect, the present invention provides a dynamic analysis system for engineering cost, comprising:
the recording module can input an engineering quantity list and a list unit price and is used for inputting the unit price of a corresponding engineering project;
the information acquisition module is connected with the Internet, inputs goods warehouse-in information in a month period and collects the Internet information, and is used for determining the actual artificial unit price and the material unit price of each month;
the calculation module is connected with the recording module and the information acquisition module and used for calculating theoretical cost, actual cost and inventory cost and outputting an alarm result according to calculation;
and the alarm module is connected with the calculation module and used for alarming the alarm result output by the calculation module.
Further, the recording module includes a plurality of memories distributed over the devices to form a blockchain, and when the engineering quantity list and the list unit price are entered into the recording module, the recording module transmits the list to the blockchain to prevent modification and data loss.
Further, when the information collection module works, if the j-th material is sj=0 in the total material amount of a single month, the information collection module does not include the material and the corresponding work into the month cost, so as to reduce the calculated amount.
Compared with the prior art, the method has the beneficial effects that the theoretical cost of the engineering is determined by utilizing a mode of collecting market labor cost and material cost, and the engineering profit state is determined according to the theoretical cost, so that the accuracy of engineering cost is improved while the input cost is effectively prevented from being controlled manually.
Further, the actual labor cost is determined by combining the labor cost and the distance from the engineering project, so that the accuracy of engineering cost is further improved while the sampling rationality of the labor cost is effectively improved.
Furthermore, the engineering project commute mode is utilized to assign the labor cost, so that the accuracy of engineering cost is further improved while the variation of the labor cost caused by the journey time is effectively reduced.
Further, the actual artificial unit price of the engineering project is obtained through comprehensive evaluation of the artificial cost, so that the rationality of the artificial unit price is effectively improved, and meanwhile, the accuracy of the engineering cost is further improved.
Further, the transportation cost is counted into the material price through the distance between the distribution material point and the engineering project, so that the material price rationality is effectively improved, and meanwhile, the accuracy of the engineering cost is further improved.
Furthermore, the theoretical cost in the current month is calculated by a mode of calculating and determining the artificial price and the main price, so that the transparency of the theoretical cost in the current month is effectively improved, and meanwhile, the accuracy of the engineering cost is further improved.
Further, the current state of the engineering project is determined by comparing the actual cost, the theoretical cost and the inventory cost, so that the risk resistance of the engineering project is effectively improved, and meanwhile, the accuracy of the engineering cost is further improved.
Further, by means of the recording module, the information acquisition module, the calculation module and the alarm module, the transparency of the engineering cost is improved, the data safety is enhanced, and the accuracy of the engineering cost is further improved.
Further, by transmitting the engineering quantity list to the blockchain, the data security is effectively improved, and meanwhile, the artificial change is avoided, so that the accuracy of engineering cost is further improved.
Furthermore, when the information acquisition module works, the operation amount is effectively reduced by avoiding unused materials, and meanwhile, the accuracy of engineering cost is further improved.
Drawings
FIG. 1 is a flow chart of a dynamic analysis method of engineering cost according to the present invention;
FIG. 2 is a block diagram of the dynamic analysis system for construction costs according to the present invention.
Detailed Description
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
It should be noted that, in the description of the present invention, terms such as "upper," "lower," "left," "right," "inner," "outer," and the like indicate directions or positional relationships based on the directions or positional relationships shown in the drawings, which are merely for convenience of description, and do not indicate or imply that the apparatus or elements must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those skilled in the art according to the specific circumstances.
Referring to fig. 1, a flow chart of the dynamic analysis method for engineering cost according to the present invention includes:
step S1, inputting an engineering quantity list and a list unit price into a recording module, and calculating an engineering initial price according to the engineering quantity list and the list unit price by using a calculating module;
s2, collecting manual prices and material prices of the engineering places by using the information acquisition module in a month period, and determining theoretical cost unit price of the engineering and storing the unit price into the recording module by using the Internet;
s3, collecting the actual cost unit price generated by construction by using the information acquisition module with a month as a period, and storing the unit price into the recording module for recording and calling;
s4, comparing the recorded theoretical cost unit price of each month with the actual cost unit price by utilizing a calculation module, and alarming abnormal expenditure of the engineering;
and S5, comparing the actual cost total price and the theoretical cost total price of the finished part of the engineering to judge the current profitability of the engineering.
The information acquisition module can input the goods entering quantity through the interaction equipment, and records the collected material price as the main material price in a month unit according to the input time, so that the transparency reduction of the engineering cost caused by manually inputting the main material price is avoided.
The theoretical cost of the engineering is determined by collecting the market labor cost and the material cost, and the engineering profit state is determined according to the theoretical cost, so that the accuracy of the engineering cost is improved while the input cost is effectively prevented from being controlled by personnel.
Specifically, for a single month, the information acquisition module collects unit artificial prices of all sampling points in a preset range with a single engineering project as a center to judge the local unit artificial price of the engineering project, for the unit artificial price of the i sampling point, the distance between the unit artificial price and the engineering project is Li, the commuting time is Ti, the weight is Qi, i=1, 2,3, …, n, n is the maximum sampling point number, qi=0, 1,2, a first preset distance Lalpha and a second preset distance Lbeta are arranged in the information acquisition module, wherein 0 < Lalpha < Lbeta, the first preset distance Lalpha is the distance of the nearest sampling point, the second preset distance Lbeta is the distance of the farthest sampling point, the unit artificial price of the engineering project is dynamically determined by analyzing the distance between each sampling point and the engineering project,
if Li is smaller than Lalpha, the information acquisition module judges that the ith sampling point is close to the engineering project, and assigns a weight Qi as 2,
if Lalpha is less than or equal to Li and less than Lbeta, the information acquisition module judges that the distance from the ith sampling point to the engineering project is moderate, further judges according to the commute time Ti,
if Li is more than or equal to Lbeta, the information acquisition module judges that the ith sampling point is far away from the engineering project, and further judges according to the commute time.
The actual labor cost is determined by combining the labor cost and the distance from the engineering project, so that the accuracy of engineering cost is further improved while the sampling rationality of the labor cost is effectively improved.
Specifically, for the i-th sampling point to arrive at the engineering project with the commute time of Ti, the information acquisition module is provided with a first preset commute time Tα and a second preset commute time Tβ, wherein 0 < Tα < Tβ, the first preset commute time Tα is a short commute time, the second preset commute time Tβ is a long commute time, ti is compared with Tα and Tβ to assign a value of Qi of the i-th sampling point by the commute time,
if Ti is less than or equal to T alpha, the information acquisition module judges the commute time length of the ith sampling point from the engineering project, and assigns a weight Qi as 2,
if T alpha is smaller than Ti and smaller than T beta, the information acquisition module judges that the commute time length of the ith sampling point from the engineering project is moderate, and assigns a weight value Qi to 1,
if Tbeta is smaller than Ti, the information acquisition module judges that the ith sampling point is longer than the commute time length of the engineering project, and assigns a weight Qi to 0.
The engineering project commuting mode is utilized to assign the labor cost, so that the accuracy of engineering cost is further improved while the variation of the labor cost caused by the journey time is effectively reduced.
Specifically, for the i-th sampling point, the per-unit manual price is Ri, and for the engineering project, the per-unit manual price R0 is represented by the formula (1):
where Σ () is the sum formula.
The actual artificial unit price of the engineering project is obtained through comprehensive evaluation of the artificial cost, so that the rationality of the artificial unit price is effectively improved, and meanwhile, the accuracy of the engineering cost is further improved.
Specifically, for a single month, the j-th material used in the project has a k-th shipment area at a distance Ljk from the project, a price increase coefficient caused by transportation cost of Zjk, where j=1, 2,3, …, m, m is the total number of material types in the project, k=1, 2,3, …, q, q is the total number of material asset areas, zjk =1, 2,3, the information acquisition module is provided with a first preset distance Lα and a second preset distance Lβ, wherein 0 < Lα < Lβ, the first preset distance Lα is a short transportation distance, the second preset distance Lβ is an ultra-long transportation distance, ljk is compared with Lα and Lβ to determine the price increase coefficient caused by transportation cost thereof,
if Ljk is less than Lα, the collecting module judges that the k shipment area of the j-th material is close to the engineering project, and assigns a price rising coefficient caused by the transportation cost as Zjk to be 1;
if Lα is less than or equal to Ljk and less than Lβ, the collecting module judges that the distance between the kth shipment area of the jth material and the engineering project is moderate, and assigns a price rising coefficient caused by the transportation cost as Zjk to be 2;
if Lbeta is less than Ljk, the collecting module judges that the kth shipment area of the jth material is far away from the engineering project, and assigns a price rising coefficient caused by the transportation cost as Zjk to be 3;
the collecting module is provided with a transportation cost adjusting value c according to the transportation unit price around the engineering project, the unit price of the kth shipment place is Wjk, the supply quantity of each shipment place is Sk, the total quantity of the materials is Sj, and the theoretical unit price Wj is determined by the formula (2):
where Σ () is the sum formula.
The transportation cost is counted into the material price through the distance between the distribution material point and the engineering project, so that the accuracy of the engineering cost is further improved while the reasonability of the material price is effectively improved.
Specifically, for a single month, the calculation module adjusts the rated price according to the unit manual price R0 collected by the information collection module, takes each material price Wj as the main price, and calculates the theoretical cost V of the month according to the rated price and the main price.
The theoretical cost in the current month is calculated by calculating and determining the artificial price and the main price, so that the transparency of the theoretical cost in the current month is effectively improved, and the accuracy of the engineering cost is further improved.
Specifically, for a single month, the calculation module determines the actual cost V ' and the inventory cost V″ according to the total number of materials Sj of the materials collected by the information collection module, and compares the theoretical cost V with the actual cost V ' and the inventory cost V ',
if V is less than V', the calculation module judges that the cost is normal and sends the judging result to the alarm module;
if V is more than or equal to V ', the calculation module judges that the theoretical cost is too high, and compares the theoretical cost with the list cost V ' according to the actual cost V ' so as to judge the reason of the too high cost;
if V 'is not less than V', the calculation module judges the actual loss of the part of the list, and sends the actual loss of the list to the alarm module as a judging result;
if V '< V', the calculation module judges that the partial shipment volume is abnormal, and sends the shipment abnormality to the alarm module as a judgment result;
the alarm module respectively alarms according to the result sent by the calculation module, wherein if abnormal shipment alarm occurs, the alarm module simultaneously sends the alarm to the supervisor superior authority of the engineering project.
Further, the current state of the engineering project is determined by comparing the actual cost, the theoretical cost and the inventory cost, so that the risk resistance of the engineering project is effectively improved, and meanwhile, the accuracy of the engineering cost is further improved.
Referring to fig. 2, which is a block diagram of the dynamic analysis system for construction cost according to the present invention, the system comprises:
the recording module can input an engineering quantity list and a list unit price and is used for inputting the unit price of a corresponding engineering project;
the information acquisition module is connected with the Internet, inputs goods warehouse-in information in a month period and collects the Internet information, and is used for determining the actual artificial unit price and the material unit price of each month;
the calculation module is connected with the recording module and the information acquisition module and used for calculating theoretical cost, actual cost and inventory cost and outputting an alarm result according to calculation;
and the alarm module is connected with the calculation module and used for alarming the alarm result output by the calculation module.
By means of the recording module, the information acquisition module, the calculation module and the alarm module, the transparency of the engineering cost is improved, the data safety is enhanced, and the accuracy of the engineering cost is further improved.
Specifically, the recording module includes a plurality of memories distributed on each device to form a blockchain, and when the engineering quantity list and the list unit price are recorded into the recording module, the recording module transmits the list to the blockchain to prevent modification and data loss.
By transmitting the engineering quantity list to the blockchain, the data security is effectively improved, and meanwhile, the artificial change is avoided, so that the accuracy of engineering cost is further improved.
Specifically, when the information collection module works, if the j-th material is sj=0 in the total material amount of a single month, the information collection module does not include the material and the corresponding work into the month cost, so as to reduce the calculated amount.
When the information acquisition module works, the operation amount is effectively reduced by avoiding unused materials, and meanwhile, the accuracy of engineering cost is further improved.
With the above system, the following effects can be obtained:
when the information acquisition module works, the acquired artificial labor cost is as follows in table 1:
table 1 table for acquiring labor cost of a month
From table 1, the engineering project labor cost in the current month can be calculated as:
and then the rated labor cost is calculated according to the labor type.
The material cost of a certain material collected by the information collection module is as follows in table 2:
TABLE 2 acquisition of certain material fees for certain month
By table 1, the material cost of a certain material of the engineering project can be calculated as:
and calculating the actual cost and the inventory cost by taking Wj as the main material cost of the j materials and 985 total supplies as engineering quantities.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
The foregoing description is only of the preferred embodiments of the invention and is not intended to limit the invention; various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A dynamic analysis method for construction cost, comprising:
step S1, inputting an engineering quantity list and a list unit price into a recording module, and calculating an engineering initial price according to the engineering quantity list and the list unit price by using a calculating module;
s2, collecting manual prices and material prices of the engineering places by using the information acquisition module in a month period, and determining theoretical cost unit price of the engineering and storing the unit price into the recording module by using the Internet;
s3, collecting the actual cost unit price generated by construction by using the information acquisition module with a month as a period, and storing the unit price into the recording module for recording and calling;
s4, comparing the recorded theoretical cost unit price of each month with the actual cost unit price by utilizing the calculation module, and alarming abnormal expenditure of the engineering;
s5, comparing the actual cost total price and the theoretical cost total price of the finished part of the engineering to judge the current profit condition of the engineering;
the information acquisition module can input the goods entering quantity through the interaction equipment, and records the collected material price as the main material price according to the input time by taking month as a unit, so that the transparency reduction of the engineering cost caused by manually inputting the main material price is avoided.
2. The dynamic analysis method according to claim 1, wherein the information acquisition module collects unit artificial prices of each sampling point within a preset range centering on a single engineering project for a single month to determine the local unit artificial price of the engineering project, the distance between the unit artificial price of the i-th sampling point and the engineering project is Li, the commute time is Ti, the weight is Qi, i=1, 2,3, …, n, n is the maximum number of sampling points, qi=0, 1,2, a first preset distance L alpha and a second preset distance L beta are provided in the information acquisition module, wherein 0 < L alpha < L beta, the first preset distance L alpha is the distance between the nearest sampling point, the second preset distance L beta is the distance between the farthest sampling point, the unit artificial price of the engineering project is dynamically determined by analyzing the distance between each sampling point and the engineering project,
if Li is smaller than Lalpha, the information acquisition module judges that the ith sampling point is close to the engineering project, and assigns a weight Qi as 2,
if Lalpha is less than or equal to Li and less than Lbeta, the information acquisition module judges that the ith sampling point is moderate from the engineering project and further judges according to the commute time Ti,
if Li is more than or equal to Lbeta, the information acquisition module judges that the ith sampling point is far away from the engineering project, and further judges according to the commute time.
3. The dynamic analysis method according to claim 2, wherein for the commute time for the ith sample point to reach the project item is Ti, the information acquisition module is provided with a first preset commute time Tα and a second preset commute time Tβ, wherein 0 < Tα < Tβ, the first preset commute time Tα is a short commute time, the second preset commute time Tβ is a long commute time, ti is compared with Tα and Tβ to assign a value of the weight Qi of the ith sample point by a commute time,
if Ti is less than or equal to T alpha, the information acquisition module judges the commute time length of the ith sampling point from the engineering project, and assigns a weight Qi as 2,
if T alpha is smaller than Ti and smaller than T beta, the information acquisition module judges that the i sampling point is moderate in commute time length from the engineering project, and assigns a weight Qi to 1,
if Tbeta is smaller than Ti, the information acquisition module judges that the ith sampling point is longer than the commute time of the engineering project, and assigns a weight Qi to 0.
4. A dynamic analysis method for construction cost according to claim 3, wherein for the i-th sampling point, the unit man-power price is Ri, and for the unit man-power price R0 of the construction project, the unit man-power price is represented by using formula (1):
where Σ () is the sum formula.
5. The dynamic analysis method according to claim 4, wherein for a single month, the j-th material used in the project has a distance of kj from the project, a cost increase factor due to transportation costs of Zjk, where j=1, 2,3, …, m, m is a total number of material types of the project, k=1, 2,3, …, q, q is a total number of material asset lands, zjk =1, 2,3, the information acquisition module is provided with a first preset distance lα and a second preset distance lβ, wherein 0 < lα < lβ, the first preset distance lα is a short transportation distance, the second preset distance lβ is an ultra-long transportation distance, ljk is compared with lα and lβ to determine the cost increase factor due to transportation costs thereof,
if Ljk is less than Lα, the collecting module judges that the kth shipment area of the jth material is close to the engineering project, and assigns a price rising coefficient caused by the transportation cost as Zjk to be 1;
if Lα is less than or equal to Ljk and less than Lβ, the collecting module judges that the distance between the kth shipment area of the jth material and the engineering project is moderate, and assigns a price rising coefficient caused by the transportation cost as Zjk to be 2;
if Lbeta is less than Ljk, the collecting module judges that the kth shipment area of the jth material is far away from the engineering project, and assigns a price rising coefficient caused by the transportation cost as Zjk to be 3;
the collecting module is provided with a transportation cost adjusting value c according to the transportation unit price around the engineering project, for the j-th material, the k-th shipment unit price is Wjk, the supply quantity of each shipment place is Sk, the total quantity of the materials is Sj, and the theoretical unit price Wj is determined by the formula (2):
where Σ () is the sum formula.
6. The dynamic analysis method according to claim 5, wherein for a single month, the calculation module adjusts the rated price according to the unit manual price R0 collected by the information collection module, takes each material price Wj as a main price, and calculates the theoretical cost V of the month according to the rated price and the main price.
7. The dynamic analysis method of construction cost according to claim 6, wherein for a single month, the calculation module determines an actual cost V 'and a list cost V "according to the total number Sj of materials collected by the information collection module, and compares the theoretical cost V with the actual cost V' and the list cost V", respectively,
if V is less than V', the calculation module judges that the cost is normal and sends the judging result to the alarm module;
if V is more than or equal to V ', the calculation module judges that the theoretical cost is too high, and compares the actual cost V' with the list cost V 'according to the actual cost V' so as to judge the reason of the too high cost;
if V' is more than or equal to V ", the calculation module judges the actual loss of the part of the list and sends the actual loss of the list to the alarm module as a judging result;
if V '< V', the calculation module judges that the partial shipment volume is abnormal, and sends the shipment abnormality to the alarm module as a judgment result;
and the alarm module respectively alarms according to the result sent by the calculation module, wherein if abnormal shipment alarm occurs, the alarm module simultaneously sends the alarm to the supervisor superior authority of the engineering project.
8. A dynamic analysis system for construction costs using the method according to any one of claims 1 to 7, comprising:
the recording module can input an engineering quantity list and a list unit price and is used for inputting the unit price of a corresponding engineering project;
the information acquisition module is connected with the Internet, inputs goods warehouse-in information in a month period and collects the Internet information, and is used for determining the actual artificial unit price and the material unit price of each month;
the calculation module is connected with the recording module and the information acquisition module and used for calculating theoretical cost, actual cost and inventory cost and outputting an alarm result according to calculation;
and the alarm module is connected with the calculation module and used for alarming the alarm result output by the calculation module.
9. The dynamic analysis system of claim 8, wherein the recording module comprises a plurality of memories distributed across the devices to form a blockchain, and wherein when the engineering quantity list and list unit price are entered into the recording module, the recording module transmits the list to the blockchain to prevent modification and data loss.
10. The dynamic analysis system of construction cost according to claim 9, wherein the information collection module is configured to reduce the amount of calculation when the information collection module is operating if the j-th material has total material amount sj=0 in a single month, and the information collection module does not include the material and the corresponding work in the month cost.
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