CN112862244A - Building engineering dynamic cost analysis and control system based on big data - Google Patents
Building engineering dynamic cost analysis and control system based on big data Download PDFInfo
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- CN112862244A CN112862244A CN202011630168.2A CN202011630168A CN112862244A CN 112862244 A CN112862244 A CN 112862244A CN 202011630168 A CN202011630168 A CN 202011630168A CN 112862244 A CN112862244 A CN 112862244A
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The application relates to a building engineering dynamic cost analysis and control system based on big data, which comprises a plurality of raw material manufacturer contact information databases, a data base and a data base, wherein the raw material manufacturer contact information databases are used for storing contact information of a person in charge of a corresponding raw material manufacturer; each raw material corresponds to a raw material manufacturer contact information database; the raw material selective purchasing standard database is used for storing selective purchasing standard templates of various raw materials; the information processing module is used for calling a selective purchasing standard template in the raw material selective purchasing standard database and a corresponding contact way in the raw material manufacturer contact way database, and sending the selective purchasing standard template to the corresponding contact way; the information processing module is also used for receiving information fed back by each responsible person; and the temporary storage module is used for acquiring and storing raw material data in the information fed back by each responsible person. By acquiring the data of the raw materials produced by the manufacturers, the raw materials with cheap price and high quality can be conveniently selected by the manufacturers. This application has the quality of being convenient for compromise price and raw materials, improves the effect of building quality.
Description
Technical Field
The application relates to the field of construction engineering cost, in particular to a construction engineering dynamic cost analysis and control system based on big data.
Background
The construction cost refers to the construction price of a project, and refers to the total sum of all costs expected or actually required to complete the construction of one project. The construction costs of different types of projects are also quite different, for example, the construction costs of a building project and a water conservancy project are quite different. The construction cost is roughly divided into four stages, namely investment estimation, design approximate calculation, engineering settlement and completion settlement. The construction cost is composed of prices of a plurality of sub-items in a project, for example, in a construction project, the construction cost includes labor cost expenses, material expenses, equipment expenses, management expenses, legal profits, and the like.
In order to improve the accuracy and the efficiency of the construction cost, various systems for assisting construction cost operators to carry out construction cost are generated besides engaging experienced construction cost operators. In the related technology, after a construction engineer inputs investment estimation data of a construction project into a construction cost system, the construction cost system searches the price of a related human machine through the Internet before the construction project is implemented, and then selects workers or raw materials with employment cost or purchase cost lower than the corresponding estimation data by combining the estimation data, so that the overall economic benefit of the construction project is improved.
In view of the above-mentioned related art, the inventors consider that the quality of the raw material is not easily guaranteed only by considering the price of the raw material, and thus the building quality is easily affected.
Disclosure of Invention
In order to facilitate the consideration of the price and the quality of raw materials and improve the building quality, the application provides a building engineering dynamic cost analysis and control system based on big data.
The application provides a building engineering developments cost analysis and control system based on big data adopts following technical scheme:
a building engineering dynamic cost analysis and control system based on big data is characterized in that: the method comprises the following steps:
the contact information database of a plurality of raw material manufacturers is used for storing the contact information of the corresponding raw material manufacturer responsible persons; each raw material corresponds to a raw material manufacturer contact information database;
the raw material selective purchasing standard database is used for storing selective purchasing standard templates of various raw materials;
the information processing module is used for calling the purchasing standard template in the raw material purchasing standard database and the corresponding contact way in the raw material manufacturer contact way database, and sending the purchasing standard template to the corresponding contact way; the information processing module is also used for receiving information fed back by each responsible person;
and the temporary storage module is used for acquiring and storing raw material data in the information fed back by each responsible person.
By adopting the technical scheme, the contact information of the principal of the raw material manufacturer is stored in the contact information database of the raw material manufacturer by a costist or a related principal, so that the quality of the raw materials produced by the raw material manufacturer in the contact information database of the raw material manufacturer is more reliable than that of the manufacturers inquired on the network, and the quality is also easily ensured. The system sends the purchasing standard template of the raw materials to a responsible person corresponding to a manufacturer, and the responsible person fills the raw material data according to the current condition of the manufacturer after receiving the template. And the information processing module transmits the raw material data fed back by each responsible person to the temporary storage module. The cost engineer selects the manufacturer who is fit for this building engineering according to the raw materials data in the module of keeping in, because there is the contrast, so the raw materials price/performance ratio in the manufacturer of last selection is higher relatively, is convenient for compromise price and quality simultaneously to be convenient for guarantee the quality of raw materials, help improving building quality, guarantee building engineering's economic benefits.
Optionally, the system further comprises an estimated price database for storing estimated price data of various raw materials in the construction engineering;
the temporary storage module is used for acquiring estimated price data of corresponding types of raw materials in the estimated price database.
Through adopting above-mentioned technical scheme, when the cost teacher looked over the raw materials data that each producer responsible person fed back through the module of keeping in, also can see the estimation price data of corresponding kind of raw materials, the cost teacher of being convenient for is according to estimating the price data and compromise the selection raw materials data, compromises the selection producer promptly, helps controlling building engineering's cost and guarantees the quality of raw materials.
Optionally, the system further comprises a marking module, configured to mark the raw material data exceeding the estimated price data of the corresponding raw material in the temporary storage module.
By adopting the technical scheme, a manufacturer can conveniently select a manufacturer whose total price of raw materials in the raw material data does not exceed the estimated price data of the corresponding raw materials, and the cost is strictly controlled. Therefore, the number of options of the cost maker is reduced, and the work efficiency of the cost maker is improved.
Optionally, the shopping standard template includes a plurality of shopping characteristics, and the shopping characteristics include raw material type, standard, quantity and total price.
By adopting the technical scheme, a manufacturer with high selective price ratio is convenient for a manufacturer, namely the raw materials produced by the manufacturer have better quality than the raw materials produced by other manufacturers at the same price, thereby being beneficial to improving the building quality and controlling the cost of building engineering.
Optionally, the system further comprises a cost engineer contact information database for storing contact information of a plurality of cost engineers;
the temporary storage module is used for classifying the stored raw material data according to the raw material types in the raw material data; the temporary storage module is also used for transmitting the raw material data of the same type and the corresponding estimated price data to the information processing module;
the information processing module is used for calling the contact information in the cost engineer contact information database and sending various raw material data and corresponding estimated price data to the called contact information;
the information processing module is also used for receiving information fed back by each cost maker in the cost maker contact information database and transmitting the information fed back by the cost maker to the temporary storage module;
the temporary storage module is used for storing information fed back by a cost maker.
By adopting the technical scheme, raw material data fed back by a manufacturer producing the same raw material and estimated price data of the raw material are packaged and sent to a plurality of cost makers, the cost makers select raw material data with high cost performance from the raw material data according to own experience and data after receiving the information, and then the raw material data are fed back to the information processing module. The information processing module transmits information fed back by a plurality of cost makers to the temporary storage module, and the temporary storage module stores the information fed back by the cost makers. The general responsible person selects the raw materials of the manufacturers corresponding to the raw material data with the most occurrence times according to the information fed back by the plurality of cost makers, and the plurality of cost makers comprehensively select the raw materials of the manufacturers, so that the raw materials used by the building engineering are low in cost and high in quality, and the building quality is improved.
Optionally, the temporary storage module is connected with a counting unit for counting the number of the same information fed back by the cost maker in the temporary storage module.
By adopting the technical scheme, the workload of the general responsible person is convenient to reduce, the error rate of the general responsible person during statistics is also convenient to reduce, and a plurality of raw material manufacturers approved by cost makers are facilitated to be selected, so that the quality of corresponding raw materials used in building engineering is facilitated to be good, and the building quality is improved.
Optionally, the information processing module is configured to send discount request information to each contact after receiving information fed back by each person in charge;
the information processing module is also used for receiving discount information fed back by each responsible person and transmitting the discount information to the temporary storage module.
By adopting the technical scheme, discount request information is generated, and whether the raw materials of various raw material manufacturers can be discounted or not is detected so as to strive for buying the raw materials at a lower price, thereby being convenient for improving the economic benefit of the building engineering.
Optionally, the types of the raw materials include concrete, steel bars, glass, square bricks and precast floor slabs.
By adopting the technical scheme, the raw materials with larger use amount or larger influence on the building quality are analyzed and controlled by using the system, the cost performance of the raw materials provided by manufacturers of various raw materials is analyzed, the quality of the raw materials used in the building engineering is controlled, and the improvement of the building quality is facilitated.
In summary, the present application includes at least one of the following beneficial technical effects:
1. before the raw materials are purchased, the system sends a purchasing standard template to a manufacturer responsible person for producing the raw materials through the information processing module, the manufacturer responsible person fills corresponding raw material data in the purchasing standard template, then the purchasing standard template is fed back to the system, the temporary storage module stores the raw material data in the purchasing standard template fed back by each manufacturer responsible person, and a constructor selects raw materials with the same price but higher quality according to the raw material data in the storage module, so that the construction quality is improved;
2. when a costist checks the raw material data fed back by each raw material manufacturer through the temporary storage module, the estimated price data of each raw material is also stored in the temporary storage module, so that the cost of the raw material selected by the costist is not easy to exceed the estimated price data of the corresponding raw material;
3. the information processing module sends discount request information to all manufacturers, so that raw materials with better quality can be obtained on the premise of controlling the cost of the raw materials, and the improvement of the building quality is facilitated.
Drawings
FIG. 1 is a block diagram of a building engineering dynamic construction cost analysis and control system based on big data according to embodiment 1 of the present application;
FIG. 2 is a block diagram of a shopping criteria template in example 1 of the present application;
FIG. 3 is a block diagram of the related structure of the estimated price database in embodiment 1 of the present application;
FIG. 4 is a block diagram of the structure associated with the cost engineer contact information database in embodiment 1 of the present application;
FIG. 5 is a block diagram showing the structure of embodiment 2 of the present application;
fig. 6 is a block diagram of the structure of embodiment 3 of the present application.
Description of reference numerals: 1. a raw material manufacturer contact information database; 2. a raw material purchasing standard database; 3. an information processing module; 4. a temporary storage module; 41. a counting unit; 5. an estimated price database; 6. a marking module; 7. a cost engineer contact information database; 8. and an acquisition module.
Detailed Description
The embodiment of the application discloses a building engineering dynamic cost analysis and control system based on big data.
Example 1
Referring to fig. 1, the building engineering dynamic cost analysis and control system based on big data comprises a plurality of raw material manufacturer contact information databases 1, a raw material purchasing standard database 2, an information processing module 3 and a temporary storage module 4. The contact information database 1 of the raw material manufacturer is provided with a plurality of contact information databases 1, and each contact information database 1 of the raw material manufacturer corresponds to one raw material. The raw material manufacturer contact information database 1 is used for storing a plurality of contact information corresponding to the responsible persons of the raw material manufacturers. The raw materials include concrete, steel bars, glass, square bricks and prefabricated floor slabs. In order to facilitate understanding, in this embodiment, the contact information database 1 of the raw material manufacturer is provided with five contact information databases, which correspond to concrete, steel bars, glass, square bricks and prefabricated floor slabs. The contact information of the responsible persons of the manufacturers for producing the concrete is stored in the contact information database 1 of the raw material manufacturers corresponding to the concrete, and similarly, the contact information of the responsible persons of the manufacturers for producing the concrete is stored in the contact information database 1 of the raw material manufacturers corresponding to the cement, and so on.
Referring to fig. 1, the raw material purchasing standard database 2 is used for storing purchasing standard templates of various raw materials, which refer to types of raw materials, i.e., concrete, steel bars, glass, square bricks, and prefabricated floor slabs in this embodiment. With reference to fig. 2, the shopping criteria template includes several shopping characteristics, including raw material type, standard, quantity and total price. Wherein the types and the quantity of the raw materials are input into the purchasing characteristic template by a cost maker and are default values. When the types or the quantities of the raw materials need to be modified, the cost engineer enters the raw material purchasing standard database 2 to modify the raw materials.
The criteria in the shopping characteristics represent data for judging the performance degree of the corresponding raw material types, and may be different according to the difference of the raw materials corresponding to the shopping criteria templates. For example, for concrete, the standard may correspond to the compressive strength, for example, the manufacturer of the concrete fills in the compressive strength C7.5 after the standard features. As another example, the standard of the reinforcing steel bar may be tensile strength, elongation, yield strength, and the like; the standard of the glass may be hardness, sound insulation, etc.; the criteria for a tile may be the average deviation of the sample in the length, width, and height dimensions; the criteria for a prefabricated floor slab may be strength and load bearing capacity.
The raw material types can be concrete with a certain type or concrete with steel bars at the place of a building besides filling in words such as concrete and steel bars.
Since the construction engineer has made investment estimations on the construction project before purchasing the raw materials, the amount of use of various raw materials, such as how many cubic meters of concrete, how many reinforcing bars, how many glass faces, etc., has been estimated. The amount is based on the amount counted by the cost maker in investment estimation. The total represents the capital spent to purchase the quantities of material on the shopping criteria template.
Referring to fig. 1, the information processing module 3 is configured to retrieve a shopping standard template in the raw material shopping standard database 2 and a corresponding contact way in the raw material manufacturer contact way database 1. The information processing module 3 is further configured to send the purchasing standard template to the corresponding contact way. The contact means can be a mobile phone number, a mailbox number or a micro signal code. The information processing module 3 may be a program or software having functions of identifying data, calling data, parsing data, editing data, and transmitting data. Taking concrete as an example, the information processing module 3 obtains a purchasing standard template corresponding to the concrete from the raw material purchasing standard database 2, and then obtains all contact ways in the raw material manufacturer contact way database 1 corresponding to the concrete. And sending the purchasing standard template to each contact way in an email mode.
And the material manufacturer responsible person who receives the mails fills the material data in the purchasing standard template. The raw material data refers to data filled in the standard characteristics in the selective purchasing standard template and data filled in the total price characteristics. And then the responsible person feeds back the purchasing standard template filled with the raw material data to the information processing module 3 in the form of an email. The information processing module 3 receives the information fed back by each responsible person, namely, the purchasing standard template filled with the raw material data.
Referring to fig. 1, the temporary storage module 4 is configured to obtain and store raw material data in the information fed back by each responsible person. The temporary storage module 4 may be a message queue and a database, or may be a program and a database with a calling function. The cost engineer checks the raw material data fed back by the responsible person of various raw material manufacturers through the temporary storage module 4, and selects the raw material with higher cost performance. Higher cost performance refers to raw materials with similar price but better quality.
In order to make the cost engineer not easily select the raw material manufacturer whose raw material price exceeds the estimated price data of the raw material when selecting the raw material manufacturer. Referring to fig. 3, an estimated price database 5 and a labeling module 6 are also included. The estimated price database 5 is used for storing estimated price data of various raw materials in the construction project. The temporary storage module 4 is used for acquiring estimated price data of the corresponding types of raw materials in the estimated price database 5.
The marking module 6 is used for marking the raw material data exceeding the estimated price data of the corresponding raw material in the temporary storage module 4. The marking can be to change the transparency of the corresponding raw material data in the temporary storage module 4 to increase the transparency; the marking can also be a change of the font size or color of the corresponding raw material data, so as to play a distinguishing role. Specifically, taking concrete as an example, the marking module 6 compares the estimated price data of the concrete with the total price data in the raw material data corresponding to the concrete in the temporary storage module 4 in sequence, and marks the raw material data if the total price data exceeds the estimated price data of the concrete.
Referring to fig. 4, a cost engineer contact information database 7 is further included for storing contact information of a plurality of cost engineers. The temporary storage module 4 is used for classifying the stored raw material data according to the raw material types in the raw material data, dividing the raw material data with the same raw material types together, and dividing the raw material data with different raw material types for storage. Specifically, the temporary storage module 4 may store the raw material data with the same raw material type in one table by establishing a plurality of tables in the database.
The temporary storage module 4 is further configured to transmit the raw material data of the same type and the corresponding estimated price data to the information processing module 3, that is, in a table, in addition to a plurality of raw material data, estimated price data corresponding to the raw material type of the table is also included. And all the data in the table are transmitted to the information processing module 3. The information processing module 3 is used for calling the contact information in the costing engineer contact information database 7 and sending various raw material data and corresponding estimated price data to the called contact information.
For the convenience of understanding, taking concrete as an example, the temporary storage module 4 stores raw material data corresponding to the concrete in the same table, and then stores estimated price data of the concrete in the table. The amount of raw material data is determined by the number of concrete manufacturers feeding back information. For example, 5 concrete manufacturers feed back concrete raw material data of their own factories. 5 parts of raw material data are stored in the temporary storage module 4. The temporary storage module 4 transmits 5 parts of raw material data and the estimated concrete price data to the information processing module 3. After receiving the data, the information processing module 3 adds the data to the mail and sends the mail group to each costing engineer.
After receiving the mail, the construction engineer feeds back the selection to the information processing module 3. The feedback may be a serial number or raw material data. In order to facilitate later statistics of the selection results of a plurality of cost makers, the cost makers can be appointed to feed back serial numbers. Because the mails are sent in groups, the raw material data in each mail are sequenced in the same way. However, since the types of the raw materials are many, the manufacturer adds the types of the raw materials in addition to the serial numbers when returning. For example concrete 3, or concrete (3).
Referring to fig. 4, the temporary storage module 4 is used to store information fed back by the cost engineer, i.e. a serial number in this embodiment, such as 1, 2 or 3. The temporary storage module 4 is connected to a counting unit 41 for counting the number of the same information fed back by the cost engineer in the temporary storage module 4. It should be noted that the temporary storage module 4 stores the information fed back by the cost engineer according to the type of the raw material. For example, the cost engineer feeds back information of three raw materials of concrete, steel bar and glass. The temporary storage module 4 stores the information of the corresponding concrete fed back by all cost makers together and stores the information of the corresponding steel bars fed back by all cost makers together. In this way, after the counting unit 41 identifies the type of the raw material, the number of the same serial number in the feedback information corresponding to the raw material may be counted. The engineering responsible person or the total cost engineer can know which manufacturer obtains more approval, namely more tickets. The quality of the raw materials produced by the raw material manufacturers selected by a plurality of cost operators is convenient to ensure.
The implementation principle of the embodiment 1 is as follows: when the raw materials need to be purchased, the information processing module 3 sends the selective purchasing standard template to a corresponding raw material manufacturer responsible person, and the responsible person feeds back the raw material information of the manufacturer to the information processing module 3. The information processing module 3 speaks the raw material data fed back by the responsible person and transmits the raw material data to the temporary storage module 4 for the cost engineer to look up. The method is convenient for a constructor to select the raw materials produced by manufacturers with cheap price and good quality from a plurality of raw material data, thereby being beneficial to improving the building quality.
Example 2
Referring to fig. 5, the difference between this embodiment and embodiment 1 is that the information processing module 3 is configured to send discount request information to the contact addresses in the contact address database 1 of the material manufacturer after receiving information fed back by each person in charge. The information processing module 3 is further configured to receive discount information fed back by each person in charge, and transmit the discount information to the temporary storage module 4. The temporary storage module 4 stores the discount information. When the information processing module 3 sends the raw material data and the corresponding estimated price data to each contact way in the contact way database 7 of the construction engineer, discount information corresponding to the raw material data is sent to the contact way together, so that the construction engineer comprehensively considers and selects, and the engineering cost is reduced on the premise of ensuring the quality of the raw material.
Example 3
Referring to fig. 6, the present embodiment is different from embodiment 1 in that it further includes an obtaining module 8 for obtaining the type of raw material. The acquisition module 8 may be a human-computer interface or a program with data retrieval function. When the cost engineer only wants to purchase one or more materials, the type of material is entered into the system. For convenience of understanding, taking concrete as an example, after the acquisition module 8 acquires the raw material type, that is, concrete, the information processing module 3 calls the purchasing standard template corresponding to the concrete from the raw material purchasing standard database 2 according to the raw material type acquired by the acquisition module 8, and simultaneously calls the contact way from the raw material manufacturer contact way database 1 corresponding to the concrete, and sends the purchasing standard template to the called contact way. The temporary storage module 4 only stores the information fed back by the concrete manufacturer and the information fed back by each construction engineer aiming at the concrete.
The above embodiments are preferred embodiments of the present application, and the protection scope of the present application is not limited by the above embodiments, so: all equivalent changes made according to the structure, shape and principle of the present application shall be covered by the protection scope of the present application.
Claims (8)
1. A building engineering dynamic cost analysis and control system based on big data is characterized in that: the method comprises the following steps:
the contact information database (1) of a plurality of raw material manufacturers is used for storing the contact information of the responsible persons of the corresponding raw material manufacturers; each raw material corresponds to a raw material manufacturer contact information database (1);
the raw material selective purchasing standard database (2) is used for storing selective purchasing standard templates of various raw materials;
the information processing module (3) is used for calling the purchasing standard template in the raw material purchasing standard database (2) and the corresponding contact way in the raw material manufacturer contact way database (1) and sending the purchasing standard template to the corresponding contact way; the information processing module (3) is also used for receiving information fed back by each responsible person;
and the temporary storage module (4) is used for acquiring and storing raw material data in the information fed back by each responsible person.
2. The building engineering dynamic construction cost analysis and control system based on big data according to claim 1, characterized in that: the system also comprises an estimated price database (5) which is used for storing estimated price data of various raw materials in the construction engineering;
the temporary storage module (4) is used for acquiring estimated price data of the corresponding types of raw materials in the estimated price database (5).
3. The building engineering dynamic construction cost analysis and control system based on big data according to claim 2, characterized in that: the system also comprises a marking module (6) which is used for marking the raw material data which exceed the estimated price data of the corresponding raw material in the temporary storage module (4).
4. The big data based construction project dynamic cost analysis and control system as claimed in claim 3, wherein: the selective purchasing standard template comprises a plurality of selective purchasing characteristics, wherein the selective purchasing characteristics comprise raw material types, standards, quantity and total price.
5. The big data based construction project dynamic cost analysis and control system as claimed in claim 4, wherein: the system also comprises a cost engineer contact information database (7) for storing contact information of a plurality of cost engineers;
the temporary storage module (4) is used for classifying the stored raw material data according to the raw material types in the raw material data; the temporary storage module (4) is also used for transmitting the raw material data of the same type and the corresponding estimated price data to the information processing module (3);
the information processing module (3) is used for calling the contact information in the cost engineer contact information database (7) and sending various raw material data and corresponding estimated price data to the called contact information;
the information processing module (3) is also used for receiving information fed back by each cost maker in the cost maker contact information database (7) and transmitting the information fed back by the cost maker to the temporary storage module (4);
the temporary storage module (4) is used for storing information fed back by a cost maker.
6. The big data based construction project dynamic cost analysis and control system as claimed in claim 5, wherein: the temporary storage module (4) is connected with a counting unit (41) and used for counting the number of the same information fed back by a cost maker in the temporary storage module (4).
7. The building engineering dynamic construction cost analysis and control system based on big data according to claim 1, characterized in that: the information processing module (3) is used for sending discount request information to each contact way after receiving the information fed back by each responsible person;
the information processing module (3) is also used for receiving discount information fed back by each responsible person and transmitting the discount information to the temporary storage module (4).
8. The building engineering dynamic construction cost analysis and control system based on big data according to claim 1, characterized in that: the raw materials comprise concrete, steel bars, glass, square bricks and prefabricated floor slabs.
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