CN109918401B - Building engineering list data processing method and device, storage medium and computer equipment - Google Patents
Building engineering list data processing method and device, storage medium and computer equipment Download PDFInfo
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- CN109918401B CN109918401B CN201910074021.0A CN201910074021A CN109918401B CN 109918401 B CN109918401 B CN 109918401B CN 201910074021 A CN201910074021 A CN 201910074021A CN 109918401 B CN109918401 B CN 109918401B
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Abstract
The invention relates to a data processing method and device for a construction project list, a storage medium and computer equipment. The method comprises the following steps: acquiring an expected price of a user; acquiring name characteristic data of the construction project; searching target building engineering quantity list data and target price data which are matched with the expected price of the user in a price database of a preset building engineering database and are matched with the name characteristic data in an engineering name database of the building engineering database; and outputting target construction project amount list data and target price data. According to the data processing method, the data processing device, the storage medium and the computer equipment for the construction engineering quantity list, the computer is used for reversely deriving various construction engineering quantity lists and matching corresponding prices according to the name and the price set by the user, the complexity of the previous data processing is solved, the user does not need to repeatedly select and confirm, the user experience is improved, and the construction engineering consultation level and the refinement and the scientification of construction engineering decisions are improved.
Description
Technical Field
The invention relates to the technical field of information, in particular to a data processing method and device for a construction engineering list, a storage medium and computer equipment.
Background
The building industry is the prop industry of national economy, and the industry relevance is high, and according to statistics, more than 50% of the investment of the whole society can form new production capacity or use value through the building industry. Due to the fact that the whole process of the building engineering is very complicated, extensive management is adopted at present, and whether home decoration or whole building construction is carried out, the pre-construction price (yuan per square meter) can be obtained only by selecting a project amount list and the like. If the final calculated target construction price exceeds the expected price, the calculation can be selected again. However, different materials have different specifications and different prices, and the selection process is troublesome. Besides the material cost, the construction price searching work is complicated, the conditions of error leakage or inaccurate calculation are easily caused, a large number of choices of consumers, judgment of engineering consultants and years of practical experience are accumulated, and the pre-construction price of the consumers can be reached.
Disclosure of Invention
Aiming at the problem that the efficiency of data processing of the construction engineering quantity list is low, the invention provides a data processing method, a data processing device, a storage medium and computer equipment of the construction engineering quantity list.
In order to achieve the above purpose, the invention adopts the following method:
a data processing method for a construction work amount list, wherein the method comprises the following steps:
acquiring an expected price of a user;
acquiring name characteristic data of the construction project;
searching target building engineering quantity list data and target price data which are matched with the expected price of the user in a price database of a preset building engineering database and are matched with the name characteristic data in an engineering name database of the building engineering database;
and outputting target construction project amount list data and target price data.
In one embodiment, the step of searching for the target construction quantity list and the target price data in the price database of the preset construction project database, which match the expected price of the user, and in the project name database of the construction project database, which match the name feature data, includes:
acquiring a corresponding candidate project amount list data set in a project name database of a preset construction project database according to the name characteristic data;
acquiring target price data according to the price data of the user forecast price data corresponding to the candidate project amount list data set;
and acquiring a corresponding target project amount list according to the target price data.
In one embodiment, the step of searching for the target construction quantity list and the target price data in the price database of the preset construction project database, which match the expected price of the user, and in the project name database of the construction project database, which match the name feature data, includes:
acquiring a candidate price data set in a price database of a preset building engineering database according to the expected price data of the user;
acquiring a target engineering quantity list according to the name characteristic data corresponding to the candidate price data set;
and acquiring corresponding target price data according to the target engineering quantity list.
In one embodiment, when the price database of the construction project database is partially matched with the expected price of the user, the most adjacent value and the second adjacent value are obtained under the condition that the compared name features of the expected price of the user are the same; when the price database of the building engineering database is not matched with the expected price of the user, the lower value and the upper value which are closest to the expected price of the user in the price database of the building engineering database are obtained under the condition that the expected price of the user is the same as the compared name characteristics; the nearest value or nearest lower value is referred to as a first value, and the second nearest value or nearest upper value is referred to as a second value.
In one embodiment, the same-level engineering quantity list of the first price value and the second price value is compared, and if the first price value and the second price value are the same, the next-level engineering quantity list is compared; if different project amount list groups exist, the scheme with the lowest lower value is taken as a candidate project amount list and a candidate price, and the project amount list with the highest priority in the different project amount list groups in the second price value is merged into the candidate project amount list to form a new candidate project amount list and a new candidate price; if the deviation between the new candidate price and the user expected price data is larger than the threshold value, then merging the next highest priority engineering volume list from different engineering volume list groups into a new engineering volume list and new price data, repeating the steps for multiple times until the deviation between the latest price data and the user expected price data is smaller than the threshold value, and determining the latest candidate engineering volume list and the latest candidate price as a target engineering volume list and a target price.
In one embodiment, the same-level engineering quantity list of the first price value and the second price value is compared, and if the first price value and the second price value are the same, the next-level engineering quantity list is compared; if the different project amount list groups exist, outputting the scheme of the first price value as a candidate project amount list and a candidate price, and simultaneously outputting the project amount list group with the different value from the second price value in the first price value; according to the received priority value of the project amount list group appointed by the user, at least one project amount list of the priority value determined by the user is merged into the candidate project amount list to form a new candidate project amount list and a new candidate price; if the deviation between the new candidate price and the user expected price data is larger than the threshold value, then merging the next highest priority engineering volume list from different engineering volume list groups into a new engineering volume list and new price data, repeating the steps for multiple times until the deviation between the latest price data and the user expected price data is smaller than the threshold value, and determining the latest candidate engineering volume list and the latest candidate price as a target engineering volume list and a target price.
In one embodiment, the same-level engineering quantity list of the first price value and the second price value is compared, and if the first price value and the second price value are the same, the next-level engineering quantity list is compared; if the different project amount list groups exist, outputting the scheme of the first price value as a candidate project amount list and a candidate price, and simultaneously outputting the project amount list group with the different value from the second price value in the first price value; adjusting the project amount list one by one according to a preset weight priority order;
when the candidate price is larger than the expected price of the client, searching the project amount list and the price of the similar adjusting item in the database, acquiring the project amount list and the price of the nearest lower value, and replacing the project amount list of the similar adjusting item in the candidate project amount list; and when the candidate price is less than the expected price of the client, searching the project amount list and the price of the similar adjusting item in the database, acquiring the project amount list and the price which are closest to the upper value, and replacing the project amount list of the similar adjusting item in the candidate project amount list. 8. The method of claim 4, wherein the calculation is based on the following equation:
A＝B*X+C*Y
x + Y ═ 1; a is the expected price of the matched user, B is the first price value, C is the second price value, X, Y is the percentage of each; calculating X and Y; and mixing the X quantity of engineering quantity lists with the highest weight ranking in the first price value and the Y quantity with the highest weight ranking in the second price into a first candidate engineering quantity list, calculating to obtain a candidate price, and determining the candidate engineering quantity list and the first candidate price as a target engineering quantity list and a target price if the deviation between the candidate price and the user expected price data is less than a threshold value.
A data processing apparatus for a construction work amount list, wherein the apparatus comprises:
the price acquisition module is used for acquiring the expected price of the user;
the name acquisition module is used for acquiring name characteristic data of the construction project;
the data searching module is used for searching target building engineering quantity list data and target price data which are matched with the expected price of the user in a price database of a preset building engineering database and are matched with the name characteristic data in an engineering name database of the building engineering database;
and the output module outputs the target construction project amount list data and the target price data.
In one embodiment, the apparatus further comprises: when the price database of the preset construction project database is searched for the target construction project amount list and the target price data which are matched with the expected price of the user and are matched with the name characteristic data in the project name database of the construction project database,
the name searching submodule acquires a corresponding candidate project amount list data group from a project name database of a preset construction project database according to the name characteristic data;
the price searching submodule acquires target price data according to price data of the user expected price data corresponding to the candidate project amount list data set;
and the list searching submodule acquires a corresponding target engineering quantity list according to the target price data.
In one embodiment, the step of searching for the target construction quantity list and the target price data in the price database of the preset construction project database which match the expected price of the user and in the project name database of the construction project database which match the name feature data further comprises:
the price searching submodule is used for acquiring a candidate price data set in a price database of a preset building engineering database according to the expected price data of the user;
the name searching submodule acquires a target engineering quantity list according to the name characteristic data corresponding to the candidate price data set;
and the list searching submodule acquires corresponding target price data according to the target engineering quantity list.
In one embodiment, the data search module further comprises, when the price database of the construction project database is partially matched with the user expected price, acquiring a lowest value and a second lowest value according to the user expected price under the condition that the comparison name features are the same; when the price database of the building engineering database is not matched with the expected price of the user, the lower value and the upper value which are closest to the expected price of the user in the price database of the building engineering database are obtained under the condition that the expected price of the user is the same as the compared name characteristics; the lowest or nearest lower value is referred to as a first value, and the second lowest or nearest upper value is referred to as a second value.
In one embodiment, the data search module further comprises comparing the first price value with the same-level engineering quantity list of the second price value, and if the first price value and the second price value are the same, comparing the next-level engineering quantity list; if different project amount list groups exist, taking the scheme of the first price value as a candidate project amount list and a candidate price, and merging the project amount list with the highest priority in the different project amount list groups in the second price value into the candidate project amount list to form a new candidate project amount list and a new candidate price; if the deviation between the new candidate price and the user expected price data is larger than the threshold value, then merging the next highest priority engineering volume list from different engineering volume list groups into a new engineering volume list and new price data, repeating the steps for multiple times until the deviation between the latest price data and the user expected price data is smaller than the threshold value, and determining the latest candidate engineering volume list and the latest candidate price as a target engineering volume list and a target price.
In one embodiment, the data search module further comprises comparing the first price value with the same-level engineering quantity list of the second price value, and if the first price value and the second price value are the same, comparing the next-level engineering quantity list; if the different project amount list groups exist, outputting the scheme of the first price value as a candidate project amount list and a candidate price, and simultaneously outputting the project amount list group with the different value from the second price value in the first price value; according to received priority information of the user on different engineering quantity lists, one engineering quantity list with the highest priority is merged into the candidate engineering quantity list to form a new candidate engineering quantity list and a new candidate price; if the deviation between the new candidate price and the user expected price data is larger than the threshold value, then merging the next highest priority engineering volume list from different engineering volume list groups into a new engineering volume list and new price data, repeating the steps for multiple times until the deviation between the latest price data and the user expected price data is smaller than the threshold value, and determining the latest candidate engineering volume list and the latest candidate price as a target engineering volume list and a target price.
In one embodiment, the same-level engineering quantity list of the first price value and the second price value is compared, and if the first price value and the second price value are the same, the next-level engineering quantity list is compared; if the different project amount list groups exist, outputting the scheme of the first price value as a candidate project amount list and a candidate price, and simultaneously outputting the project amount list group with the different value from the second price value in the first price value; adjusting the project amount list one by one according to a preset weight priority order;
when the candidate price is larger than the expected price of the client, searching the project amount list and the price of the similar adjusting item in the database, acquiring the project amount list and the price of the nearest lower value, and replacing the project amount list of the similar adjusting item in the candidate project amount list; and when the candidate price is less than the expected price of the client, searching the project amount list and the price of the similar adjusting item in the database, acquiring the project amount list and the price which are closest to the upper value, and replacing the project amount list of the similar adjusting item in the candidate project amount list.
In one embodiment, the data lookup module further comprises, in accordance with the following equation:
A＝B*X+C*Y
x + Y ═ 1; a is the expected price of the matched user, B is the first price value, C is the second price value, X, Y is the percentage of each; calculating X and Y; and mixing the X quantity of engineering quantity lists with the highest weight ranking in the first price value and the Y quantity with the highest weight ranking in the second price into a first candidate engineering quantity list, calculating to obtain a candidate price, and determining the candidate engineering quantity list and the first candidate price as a target engineering quantity list and a target price if the deviation between the candidate price and the user expected price data is less than a threshold value.
A computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps of the data processing method of the construction work volume list according to any one of the above embodiments.
A computer device comprising a memory, a processor and a computer program stored on the memory and operable on the processor, the processor when executing the program performing the steps of the method for processing data for a list of construction quantities as in any one of the above embodiments.
According to the data processing method, the data processing device, the storage medium and the computer equipment for the construction engineering quantity list, the computer is used for reversely deriving various construction engineering quantity lists and matching corresponding prices according to the name and the price set by the user, the complexity of the previous data processing is solved, the user does not need to repeatedly select and confirm, the user experience is improved, and the construction engineering consultation level and the refinement and the scientification of construction engineering decisions are improved.
Drawings
FIG. 1 is an application scenario of a method for building engineering list data processing in one embodiment;
FIG. 2 is an internal structural diagram of a computer device in the construction work list data processing method according to an embodiment;
FIG. 3 is a flow diagram of a method for building work list data processing in one embodiment;
FIG. 4 is a block diagram showing the construction of a construction work list data processing apparatus according to an embodiment;
FIG. 5 is a block diagram of a data lookup module in the device for processing building work list data according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention idea utilizes the name and price input by the user to reversely derive the construction project list and the matched price through presetting the data and technical rules of the construction project database, reduces the data processing complexity of the construction list, solves the problem of the prior data processing complexity, simultaneously, the user does not need to repeatedly select and confirm, improves the user experience, and improves the construction project consultation level and the refinement and the scientization of the construction project decision.
The data processing method of the construction engineering quantity list provided by the embodiment of the invention can be applied to the application environment shown in fig. 1. Referring to fig. 1, a terminal 110 may establish a communication connection with a server 120 through a network. The terminal 110 includes, but is not limited to, a mobile phone, a tablet computer, a personal digital assistant, or a desktop computer. The server 120 may be a stand-alone server or a server cluster consisting of a plurality of physical servers. The terminal 110 may receive data relating to the list of construction quantities and the price and transmit data relating to the user input to the server 120 via the communication connection. The server 120 may store therein a database, such as a construction engineering database, etc., associated with the data processing method of the construction engineering amount list. The server 120 may also obtain the price and data from the related data sent by the terminal 110, and search the matched construction project list in the construction project database according to the price and data.
As shown in FIG. 2, in one embodiment, a computer device is provided that may be configured as a server 120. Wherein the computer device comprises a processor, a non-volatile storage medium, an internal memory, and a network interface connected by a system bus. Wherein, the processor of the server is used for providing calculation and control capability and supporting the operation of the whole terminal. The non-volatile storage medium of the server stores an operating system and computer-executable instructions that are executable by the processor for implementing a method for data processing of construction work volume listings as provided in the following embodiments. The internal memory provides a cached operating environment for the operating system, computer-executable instructions in the non-volatile storage medium. The network interface of the server is used for network communication with the terminal 110, such as receiving data for anticipation sent by the terminal 110.
Those skilled in the art will appreciate that the architecture shown in fig. 2 is a block diagram of only a portion of the architecture associated with the subject application, and does not constitute a limitation on the servers to which the subject application applies, as a particular server may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, as shown in fig. 3, a method for processing a building engineering quantity list is provided, which is applied to the server shown in fig. 1 for illustration, and includes obtaining a user 'S forecast price S301, obtaining name feature data of a building engineering S302, finding a building engineering database where the user' S forecast price and the name feature data match S303, and outputting target building engineering quantity list data and target price data S304.
The user forecast price is acquired S301. The user-desired price is a fixed numerical price or a range of upper and lower limits. The fixed value is 700 yuan per square meter. The range with upper and lower limits is 700 and 800 yuan per square meter. If the units of different systems are different, the data may be different, such as meta, or ten thousand meta, and the user inputs the corresponding unit data according to the units.
The obtained channel can be a numerical value directly input by the user, or can be a method of grabbing the numerical value from a section of unstructured text input by the user, and the like. The acquisition mode is not limited to a mode of acquiring from a mobile phone or a computer, or a mode of inputting by a keyboard, voice or the like as long as the expected price input by the user is concerned.
Name characteristic data of the construction project is acquired S302.
The name feature data is a set of words, such as unit project category, branch project category, and the like, and can be a campus building, a hospital building, and the like. The categories may be "mediterranean style", "brief level", "home state", and the like. The obtained channel can be a numerical value directly input by the user, or can be a method of grabbing the numerical value from a section of unstructured text input by the user, and the like. The name feature data input by the user is obtained from a mobile phone or a computer, or is obtained by keyboard input, voice input or the like.
And searching the building engineering database S303 matched with the user expected price and name characteristic data. Searching target building engineering quantity list data and target price data which are matched with the expected price of the user in a price database of a preset building engineering database and are matched with the name characteristic data in an engineering name database of the building engineering database.
As is clear from the steps of acquiring the user expected price S301 and acquiring the name feature data of the construction project S302, the user expected price and the user input information acquired from the outside by the name feature data are acquired.
The target construction work amount list data and the target price data are final output information.
The building engineering database is preset and comprises an engineering name database, a price database and the like. The project name, price and project amount list are corresponding to each other. There are multiple levels in the project amount, for example, five levels in one embodiment, and the names of the five levels and the names of the list can be calculated as the project name database part. And searching in a name database according to the name characteristic data input by the user.
And the corresponding price database is composed of a plurality of single prices, such as 700,800,900, etc. If the user expected price input by the user is a single price, the price data in the database can be in one-to-one correspondence.
And when the price database of the building engineering database is partially matched with the expected price of the user, acquiring the nearest value and a second nearest value according to the expected price of the user under the condition that the comparison name characteristics are the same. If the user inputs 740 and 900, if there is a partial match, the search is performed according to the partial match, and the step of searching the building engineering database S303 with the matched user expected price and name feature data is entered. In one embodiment, when the price database of the construction project database is obtained and partially matches the user expected price, the most adjacent value and the second adjacent value are obtained under the condition that the name features are the same according to the user expected price. Specifically, in the price search, the nearest neighbor value and the second nearest neighbor value are obtained according to a range, for example, a range of 600 and 900 yuan is input by the user, and the nearest neighbor value and the second nearest neighbor value are obtained in the system in the range, and in different embodiments, the nearest neighbor may be the lowest neighbor. For example, if the lowest neighbor is the nearest neighbor, the neighbor value is 700 bins, and if the nearest upper value of the neighbor 700 bins is 800 bins, the nearest neighbor 700 bins and the second neighbor 800 bins are selected.
And when the price database of the building engineering database is not matched with the expected price of the user, acquiring the nearest lower value and the nearest upper value of the expected price of the user in the price database of the building engineering database under the condition that the compared name features of the expected price of the user are the same. Specifically, if the user envisions a price in the building project database if the price is not available, such as 699 units entered by the user, 699 units nearest lower value and nearest upper value are found, such as 650 nearest lower value and 700 nearest upper value.
The above-mentioned nearest neighbor may not be classified as highest or lowest, and whether nearest neighbor is determined by an absolute value, or the like.
The nearest value or nearest lower value is referred to as a first value, and the second nearest value or nearest upper value is referred to as a second value.
In the data search, three modes can be used, one mode is to search the price and the name at the same time. The second method is that price is searched first, and then name is searched; the third method searches the name first and then searches the price. The searching can be finished only when the expected price of the user is matched with the name characteristic data, and only then the target construction project amount list data and the target price data are searched.
In one embodiment, the name is looked up before the price. Specifically, the step of searching for the target construction quantity list and the target price data which are matched with the expected price of the user in the price database of the preset construction project database and matched with the name feature data in the project name database of the construction project database includes: acquiring a candidate project amount list data set in a project name database of a preset construction project database according to the name characteristic data; acquiring target price data according to the price data of the user forecast price data corresponding to the candidate project amount list data set; and acquiring a corresponding target project amount list according to the target price data.
In one embodiment, the price is looked up before the name. Specifically, the step of searching for the target construction quantity list and the target price data which are matched with the expected price of the user in the price database of the preset construction project database and matched with the name feature data in the project name database of the construction project database includes: acquiring a candidate price data set in a price database of a preset building engineering database according to the expected price data of the user; acquiring a target engineering quantity list according to the name characteristic data corresponding to the candidate price data set; and acquiring corresponding target price data according to the target engineering quantity list.
As described above, the nearest value or nearest lower value is referred to as a first value, and the second nearest value or nearest upper value is referred to as a second value. There are various treatments for the first and second values.
In one embodiment, the same-level engineering quantity list of the first price value and the second price value is compared, and if the first price value and the second price value are the same, the next-level engineering quantity list is compared; if different project amount list groups exist, taking the scheme of the first price value as a candidate project amount list and a candidate price, and merging the project amount list with the highest priority in the different project amount list groups in the second price value into the candidate project amount list to form a new candidate project amount list and a new candidate price; if the deviation between the new candidate price and the user expected price data is larger than the threshold value, then merging the next highest priority engineering volume list from different engineering volume list groups into a new engineering volume list and new price data, repeating the steps for multiple times until the deviation between the latest price data and the user expected price data is smaller than the threshold value, and determining the latest candidate engineering volume list and the latest candidate price as a target engineering volume list and a target price.
Specifically, as in the above example, if the user envisions a price in the building project database if the price is not available, such as 699 dollars entered by the user, the 699 dollar nearest lower value is found along with the nearest upper value, such as 650 dollars nearest lower value and 700 dollars nearest upper value. Then 650 is the first value and 700 is the second value. Then 650 Yuan is used as the candidate price, which corresponds to the candidate project amount list. Comparing the engineering quantity list corresponding to 700 yuan with the engineering quantity list corresponding to 650 yuan. As mentioned above, there are multiple levels in the engineering volume, for example, five levels in one embodiment, each level has a logical relationship, and the more general the upper level, the more specific the lower level. Comparing the engineering quantity lists at the same level, if the engineering quantity lists are the same, entering the next level for comparison, namely, the engineering quantity lists at one level are different because of different prices, for example, the engineering quantity list group at the fifth level, namely the most specific layer, is different. And finding different project amount list groups, finding a project amount list with the highest priority according to the priority level, and merging the project amount list with the candidate project amount list to form a new candidate project amount list and a new candidate price, wherein the candidate price is 666 yuan at this moment. And the difference between 666 and 699 bins is 33 bins. If the threshold value is set to 40 yuan, and at this time, 33 yuan is less than 50 yuan, and the 666 yuan price and the corresponding project amount list can be output within the threshold value range. If the threshold value is 30 yuan, and at the moment, 33 yuan is larger than 30 yuan, different engineering quantity list groups are continued, one engineering quantity list with the highest priority is found according to the priority level and is merged into the candidate engineering quantity list, and a new candidate engineering quantity list and a new candidate price are formed. That is, at this time, the project quantity list with the second highest priority is found and incorporated into the candidate project quantity list, at this time, the corresponding price is 680 yuan, the difference is 19 yuan, and is smaller than the threshold value 30 yuan, and at this time, the project quantity list can be output. If the threshold is not met, the next high priority project size list is continued, and the steps are repeated until the threshold is met. The threshold may be a specific value, such as 40, 30, etc., and may be a ratio, such as 3%, 5%, etc., for example.
In the above embodiment, all the priorities and thresholds can be preset for the system, that is, the target construction work amount list data and the target price data can be output completely automatically. The first price value and the second price value can also be output to be selected by the user, and the selection of the user is used as the priority for comparison and incorporation.
The new embodiment of user participation is to compare the same-level engineering quantity list of the first price value and the second price value, if the same, then compare the next-level engineering quantity list; if the different project amount list groups exist, outputting the scheme of the first price value as a candidate project amount list and a candidate price, and simultaneously outputting the project amount list group with the different value from the second price value in the first price value; according to received priority information of the user on different engineering quantity lists, one engineering quantity list with the highest priority is merged into the candidate engineering quantity list to form a new candidate engineering quantity list and a new candidate price; if the deviation between the new candidate price and the user expected price data is larger than the threshold value, then merging the next highest priority engineering volume list from different engineering volume list groups into a new engineering volume list and new price data, repeating the steps for multiple times until the deviation between the latest price data and the user expected price data is smaller than the threshold value, and determining the latest candidate engineering volume list and the latest candidate price as a target engineering volume list and a target price.
In the above embodiment, the candidate project amount list and the candidate price may be calculated as intermediate calculation amounts, and are not final results, the calculation is performed through the deviation and the threshold, and finally, if the threshold is met, the latest candidate project amount list and the latest candidate price are determined as the target project amount list and the target price, and then the target project amount list and the target price are output.
There are various treatments for the first and second values, for example, the following method is another example. Calculated according to the following equation:
A＝B*X+C*Y
x + Y ═ 1; a is the expected price of the matched user, B is the first price value, C is the second price value, X, Y is the percentage of each; calculating X and Y; and mixing the X quantity of engineering quantity lists with the highest weight ranking in the first price value and the Y quantity with the highest weight ranking in the second price into a first candidate engineering quantity list, calculating to obtain a candidate price, and determining the candidate engineering quantity list and the first candidate price as a target engineering quantity list and a target price if the deviation between the candidate price and the user expected price data is less than a threshold value.
And outputting the target construction project amount list data and the target price data S304. The searched target construction project amount list data and the target price data can be output to a data processing terminal such as another system and a module, or can be output to a display device such as a display.
As shown in fig. 4 and 5, fig. 4 is a block diagram of a construction project list data processing device according to an embodiment; FIG. 5 is a block diagram of a data lookup module in the device for processing building work list data according to an embodiment.
A data processing apparatus 600 for building work inventory, the apparatus 600 comprising: price acquisition module 602, name acquisition module 604, data lookup module 606, output module 608. The data lookup module 606 includes a name lookup sub-module 6061, a price name lookup sub-module 6062, and a manifest lookup sub-module 6063.
The price obtaining module 602 obtains the expected price of the user.
The user-desired price is a fixed numerical price or a range of upper and lower limits. The fixed value is 700 yuan per square meter. The range with upper and lower limits is 700 and 800 yuan per square meter. If the units of different systems are different, the data may be different, such as meta, or ten thousand meta, and the user inputs the corresponding unit data according to the units.
The obtained channel can be a numerical value directly input by the user, or can be a method of grabbing the numerical value from a section of unstructured text input by the user, and the like. The acquisition mode is not limited to a mode of acquiring from a mobile phone or a computer, or a mode of inputting by a keyboard, voice or the like as long as the expected price input by the user is concerned.
The name obtaining module 604 obtains name characteristic data of the construction project.
The name feature data is a set of words, such as unit project category, branch project category, and the like, and can be a campus building, a hospital building, and the like. The categories may be "mediterranean style", "brief level", "home state", and the like. The obtained channel can be a numerical value directly input by the user, or can be a method of grabbing the numerical value from a section of unstructured text input by the user, and the like. The name feature data input by the user is obtained from a mobile phone or a computer, or is obtained by keyboard input, voice input or the like.
The data search module 606 includes a name search sub-module 6061, a price name search sub-module 6062, and a manifest search sub-module 6063
The data searching module 606 searches for target construction work volume inventory data and target price data which are matched with the user expected price in the price database of the preset construction work database and are matched with the name characteristic data in the project name database of the construction work database.
The user input information is obtained from the outside by the user expectation price and the name feature data.
The target construction work amount list data and the target price data are final output information.
The building engineering database is preset and comprises an engineering name database, a price database and the like. The project name, price and project amount list are corresponding to each other. There are multiple levels in the project amount, for example, five levels in one embodiment, and the names of the five levels and the names of the list can be calculated as the project name database part.
And the corresponding price database is a single price component, such as 700,800,900, etc. If the user expected price input by the user is a single price, the price data in the database can be in one-to-one correspondence.
And when the price database of the building engineering database is partially matched with the expected price of the user, acquiring the nearest value and a second nearest value according to the expected price of the user under the condition that the comparison name characteristics are the same. If the user inputs 740 and 900, if there is a partial match, the search is performed according to the partial match, and the step of searching the building engineering database S303 with the matched user expected price and name feature data is entered. In one embodiment, when the price database of the construction project database is obtained and partially matches the user expected price, the most adjacent value and the second adjacent value are obtained under the condition that the name features are the same according to the user expected price. Specifically, in the price search, the nearest neighbor value and the second nearest neighbor value are obtained according to a range, for example, a range of 600 and 900 yuan is input by the user, and the nearest neighbor value and the second nearest neighbor value are obtained in the system in the range, and in different embodiments, the nearest neighbor may be the lowest neighbor. For example, if the lowest neighbor is the nearest neighbor, the neighbor value is 700 bins, and if the nearest upper value of the neighbor 700 bins is 800 bins, the nearest neighbor 700 bins and the second neighbor 800 bins are selected.
And when the price database of the building engineering database is not matched with the expected price of the user, acquiring the nearest lower value and the nearest upper value of the expected price of the user in the price database of the building engineering database under the condition that the compared name features of the expected price of the user are the same. Specifically, if the user envisions a price in the building project database if the price is not available, such as 699 units entered by the user, 699 units nearest lower value and nearest upper value are found, such as 650 nearest lower value and 700 nearest upper value.
The above-mentioned nearest neighbor may not be classified as highest or lowest, and whether nearest neighbor is determined by an absolute value, or the like.
The nearest value or nearest lower value is referred to as a first value, and the second nearest value or nearest upper value is referred to as a second value.
In the data search, three modes can be used, one mode is to search the price and the name at the same time. The second method is that price is searched first, and then name is searched; the third method searches the name first and then searches the price. The searching can be finished only when the expected price of the user is matched with the name characteristic data, and only then the target construction project amount list data and the target price data are searched.
In one embodiment, the name is looked up first, followed by the price. When the price database of the preset construction project database is searched for the target construction project amount list and the target price data which are matched with the expected price of the user and are matched with the name characteristic data in the project name database of the construction project database, the device also comprises: the name searching submodule acquires a candidate project amount list data group from a project name database of a preset construction project database according to the name characteristic data; the price searching submodule acquires target price data according to price data of the user expected price data corresponding to the candidate project amount list data set; and the list searching submodule acquires a corresponding target engineering quantity list according to the target price data.
In one embodiment, the price is looked up first, followed by the name. The step of searching the target construction project amount list and the target price data which are matched with the expected price of the user in the price database of the preset construction project database and are matched with the name characteristic data in the project name database of the construction project database, the device also comprises: the price searching submodule is used for acquiring a candidate price data set in a price database of a preset building engineering database according to the expected price data of the user; the name searching submodule acquires a target engineering quantity list according to the name characteristic data corresponding to the candidate price data set; and the list searching submodule acquires corresponding target price data according to the target engineering quantity list.
When the price database of the building engineering database is obtained and is not matched with the expected price part of the user, the data searching module also comprises a module for obtaining the nearest upper value and the lowest lower value under the condition that the expected price of the user is the same with the comparison name characteristic; then it is calculated according to the following equation:
A＝B*X+C*Y
x + Y ═ 1; a is the expected price of the matched user, B is the first price value, C is the second price value, X, Y is the percentage of each; calculating X and Y; and mixing the X quantity of engineering quantity lists with the highest weight ranking in the first price value and the Y quantity with the highest weight ranking in the second price into a first candidate engineering quantity list, calculating to obtain a candidate price, and determining the candidate engineering quantity list and the first candidate price as a target engineering quantity list and a target price if the deviation between the candidate price and the user expected price data is less than a threshold value.
The output module 608 outputs the target construction work amount list data and the target price data. And outputting the searched target construction project amount list data and the target price data to a data processing terminal such as another system and a module, and the like, or sending the project amount list to the terminal for displaying.
A computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps of the data processing method of the construction work volume list according to any one of the above embodiments.
A computer device comprising a memory, a processor and a computer program stored on the memory and operable on the processor, the processor when executing the program performing the steps of the method for processing data for a list of construction quantities as in any one of the above embodiments.
According to the data processing method, the data processing device, the storage medium and the computer equipment for the construction engineering quantity list, the computer is used for reversely deriving various construction engineering quantity lists and matching corresponding prices according to the name and the price set by the user, the complexity of the previous data processing is solved, the user does not need to repeatedly select and confirm, the user experience is improved, and the construction engineering consultation level and the refinement and the scientification of construction engineering decisions are improved.
The respective modules in the data processing device of the above construction work amount list may be wholly or partially implemented by software, hardware, and a combination thereof. The modules can be embedded in a memory of the terminal in a hardware form or independent from the memory of the terminal, and can also be stored in the memory of the terminal in a software form, so that the processor can call and execute the corresponding operations of the modules. The processor can be a Central Processing Unit (CPU), a microprocessor, a singlechip and the like.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, performs the steps of: acquiring an expected price of a user; acquiring name characteristic data of the construction project; searching target building engineering quantity list data and target price data which are matched with the expected price of the user in a price database of a preset building engineering database and are matched with the name characteristic data in an engineering name database of the building engineering database; and outputting target construction project amount list data and target price data.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), or the like.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between such combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for those skilled in the art, various changes and modifications can be made without departing from the spirit of the invention, and such changes and modifications are within the scope of the invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (16)
1. A data processing method for a construction work amount list is characterized by comprising the following steps:
acquiring an expected price of a user;
acquiring name characteristic data of the construction project;
searching target building engineering quantity list data and target price data which are matched with the expected price of the user in a price database of a preset building engineering database and are matched with the name characteristic data in an engineering name database of the building engineering database;
outputting target construction project amount list data and target price data; the step of searching the target construction project amount list and the target price data which are matched with the expected price of the user in the price database of the preset construction project database and are matched with the name characteristic data in the project name database of the construction project database comprises the following steps:
acquiring a corresponding candidate project amount list data set in a project name database of a preset construction project database according to the name characteristic data;
acquiring target price data according to the price data of the user forecast price data corresponding to the candidate project amount list data set;
and acquiring a corresponding target project amount list according to the target price data.
2. The method as claimed in claim 1, wherein the step of searching the target construction work volume list and the target price data matched with the user's desired price in the price database of the preset construction work database and matched with the name characteristic data in the project name database of the construction work database comprises:
acquiring a candidate price data set in a price database of a preset building engineering database according to the expected price data of the user;
acquiring a target engineering quantity list according to the name characteristic data corresponding to the candidate price data set;
and acquiring corresponding target price data according to the target engineering quantity list.
3. The method according to any one of claims 1 or 2, wherein when the price database of the construction project database is obtained to partially match the user's expected price, the nearest value and the second nearest value are obtained at the user's expected price under the condition that the comparison name features are the same; when the price database of the building engineering database is not matched with the expected price of the user, the lower value and the upper value which are closest to the expected price of the user in the price database of the building engineering database are obtained under the condition that the expected price of the user is the same as the compared name characteristics; the nearest value or nearest lower value is referred to as a first value, and the second nearest value or nearest upper value is referred to as a second value.
4. The method of claim 3, wherein the same level of the engineering quantity list of the first price value and the second price value is compared, and if the same, the next level of the engineering quantity list is compared; if different project amount list groups exist, the scheme with the lowest lower value is taken as a candidate project amount list and a candidate price, and the project amount list with the highest priority in the different project amount list groups in the second price value is merged into the candidate project amount list to form a new candidate project amount list and a new candidate price; if the deviation between the new candidate price and the user forecast price data is larger than the threshold value, merging the next highest priority project volume list from different project volume list groups into a new project volume list and new price data, repeating the step for multiple times until the deviation between the latest candidate price data and the user forecast price data is smaller than the threshold value, and determining the latest candidate price and the corresponding latest candidate project volume list as a target price and a target project volume list.
5. The method of claim 3, wherein the same level of the engineering quantity list of the first price value and the second price value is compared, and if the same, the next level of the engineering quantity list is compared; if the different project amount list groups exist, outputting the scheme of the first price value as a candidate project amount list and a candidate price, and simultaneously outputting the project amount list group with the different value from the second price value in the first price value; according to the received priority value of the project amount list group appointed by the user, at least one project amount list of the priority value determined by the user is merged into the candidate project amount list to form a new candidate project amount list and a new candidate price; if the deviation between the new candidate price and the user forecast price data is larger than the threshold value, merging the next highest priority project volume list from different project volume list groups into a new project volume list and new price data, repeating the step for multiple times until the deviation between the latest candidate price data and the user forecast price data is smaller than the threshold value, and determining the latest candidate price and the corresponding latest candidate project volume list as a target price and a target project volume list.
6. The method of claim 3, wherein the same level of the engineering quantity list of the first price value and the second price value is compared, and if the same, the next level of the engineering quantity list is compared; if the different project amount list groups exist, outputting the scheme of the first price value as a candidate project amount list and a candidate price, and simultaneously outputting the project amount list group with the different value from the second price value in the first price value; adjusting the project amount list one by one according to a preset weight priority order;
when the candidate price is larger than the expected price of the client, searching the project amount list and the price of the similar adjusting item in the database, acquiring the project amount list and the price of the nearest lower value, and replacing the project amount list of the similar adjusting item in the candidate project amount list; and when the candidate price is less than the expected price of the client, searching the project amount list and the price of the similar adjusting item in the database, acquiring the project amount list and the price which are closest to the upper value, and replacing the project amount list of the similar adjusting item in the candidate project amount list.
7. The method of claim 3, wherein the calculation is based on the following equation:
A＝B*X+C*Y
x + Y ═ 1; a is the expected price of the matched user, B is the first price value, C is the second price value, X, Y is the percentage of each; calculating X and Y; and mixing the X quantity of engineering quantity lists with the highest weight ranking in the first price value and the Y quantity with the highest weight ranking in the second price into a first candidate engineering quantity list, calculating to obtain a candidate price, and determining the candidate engineering quantity list and the first candidate price as a target engineering quantity list and a target price if the deviation between the candidate price and the user expected price data is less than a threshold value.
8. A data processing apparatus for a construction work amount list, the apparatus comprising:
the price acquisition module is used for acquiring the expected price of the user;
the name acquisition module is used for acquiring name characteristic data of the construction project;
the data searching module is used for searching target building engineering quantity list data and target price data which are matched with the expected price of the user in a price database of a preset building engineering database and are matched with the name characteristic data in an engineering name database of the building engineering database;
the output module outputs target construction project amount list data and target price data;
the device also includes: searching a target construction project amount list and target price data which are matched with the expected price of the user in a price database of a preset construction project database and are matched with the name characteristic data in an engineering name database of the construction project database;
the name searching submodule acquires a corresponding candidate project amount list data group from a project name database of a preset construction project database according to the name characteristic data;
the price searching submodule acquires target price data according to price data of the user expected price data corresponding to the candidate project amount list data set;
and the list searching submodule acquires a corresponding target engineering quantity list according to the target price data.
9. The apparatus of claim 8, wherein the step of searching for the target construction work volume list and the target price data in the price database of the preset construction work database that match the user's expected price and in the project name database of the construction work database that match the name characteristic data, further comprises:
the price searching submodule is used for acquiring a candidate price data set in a price database of a preset building engineering database according to the expected price data of the user;
the name searching submodule acquires a target engineering quantity list according to the name characteristic data corresponding to the candidate price data set;
and the list searching submodule acquires corresponding target price data according to the target engineering quantity list.
10. The apparatus according to any one of claims 8 or 9, wherein the data search module further comprises, when the price database of the construction project database is obtained to match the user's expected price, obtaining the lowest value and the second lowest value at the user's expected price under the condition that the comparison name features are the same; when the price database of the building engineering database is not matched with the expected price of the user, the lower value and the upper value which are closest to the expected price of the user in the price database of the building engineering database are obtained under the condition that the expected price of the user is the same as the compared name characteristics; the lowest or nearest lower value is referred to as a first value, and the second lowest or nearest upper value is referred to as a second value.
11. The apparatus of claim 10, wherein the data lookup module further comprises comparing the first price value with a same-level engineering quantity list of the second price value, and if the first price value and the second price value are the same, comparing the next-level engineering quantity list; if different project amount list groups exist, taking the scheme of the first price value as a candidate project amount list and a candidate price, and merging the project amount list with the highest priority in the different project amount list groups in the second price value into the candidate project amount list to form a new candidate project amount list and a new candidate price; if the deviation between the new candidate price and the user forecast price data is larger than the threshold value, merging the next highest priority project volume list from different project volume list groups into a new project volume list and new price data, repeating the step for multiple times until the deviation between the latest candidate price data and the user forecast price data is smaller than the threshold value, and determining the latest candidate price and the corresponding latest candidate project volume list as a target price and a target project volume list.
12. The apparatus of claim 10, wherein the data lookup module further comprises comparing the first price value with a same-level engineering quantity list of the second price value, and if the first price value and the second price value are the same, comparing the next-level engineering quantity list; if the different project amount list groups exist, outputting the scheme of the first price value as a candidate project amount list and a candidate price, and simultaneously outputting the project amount list group with the different value from the second price value in the first price value; according to received priority information of the user on different engineering quantity lists, one engineering quantity list with the highest priority is merged into the candidate engineering quantity list to form a new candidate engineering quantity list and a new candidate price; if the deviation between the new candidate price and the user forecast price data is larger than the threshold value, merging the next highest priority project volume list from different project volume list groups into a new project volume list and new price data, repeating the step for multiple times until the deviation between the latest candidate price data and the user forecast price data is smaller than the threshold value, and determining the latest candidate price and the corresponding latest candidate project volume list as a target price and a target project volume list.
13. The apparatus of claim 10, wherein the same-level engineering quantity list of the first price value and the second price value is compared, and if the same, the next-level engineering quantity list is compared; if the different project amount list groups exist, outputting the scheme of the first price value as a candidate project amount list and a candidate price, and simultaneously outputting the project amount list group with the different value from the second price value in the first price value; adjusting the project amount list one by one according to a preset weight priority order;
when the candidate price is larger than the expected price of the client, searching the project amount list and the price of the similar adjusting item in the database, acquiring the project amount list and the price of the nearest lower value, and replacing the project amount list of the similar adjusting item in the candidate project amount list; and when the candidate price is less than the expected price of the client, searching the project amount list and the price of the similar adjusting item in the database, acquiring the project amount list and the price which are closest to the upper value, and replacing the project amount list of the similar adjusting item in the candidate project amount list.
14. The apparatus of claim 10 wherein the data lookup module further comprises calculating according to the following equation:
A＝B*X+C*Y
x + Y ═ 1; a is the expected price of the matched user, B is the first price value, C is the second price value, X, Y is the percentage of each; calculating X and Y; and mixing the X quantity of engineering quantity lists with the highest weight ranking in the first price value and the Y quantity with the highest weight ranking in the second price into a first candidate engineering quantity list, calculating to obtain a candidate price, and determining the candidate engineering quantity list and the first candidate price as a target engineering quantity list and a target price if the deviation between the candidate price and the user expected price data is less than a threshold value.
15. A computer-readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, carries out the steps of the data processing method of the construction work volume list according to any one of claims 1 to 7.
16. A computer arrangement comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor, when executing said program, carries out the steps of the method for data processing of construction work volume listings according to any one of claims 1 to 7.
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