CN116012037A - Method and device for replacing market price by intelligent material price, electronic equipment and medium - Google Patents
Method and device for replacing market price by intelligent material price, electronic equipment and medium Download PDFInfo
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Abstract
The invention provides a method, a device, electronic equipment and a medium for replacing market price by intelligent material price, which comprise the following steps of; acquiring information price data, processing the information price data, and storing a processing result into a material library; responding to the material price replacement request, and determining the market price according to the input information; identifying the material to be detected, and searching a target material price from a material library in an artificial intelligence mode by market price; and comparing the market price with the target material price, displaying a comparison result through the mark, and executing replacement of the market price according to the comparison result. The technical scheme of the invention reduces the manual input labor cost and the time cost.
Description
Technical Field
The invention relates to the technical field of engineering cost, in particular to a method, a device, electronic equipment and a medium for replacing market price with intelligent material price.
Background
The construction method has the advantages that the construction project has various material price types, large disputes, long construction period, complex project types and other difficult problems, the construction personnel can review the information prices issued by government construction authorities in all areas to collect the material prices according to the material conditions used in actual construction of the project, the published material information prices are manually arranged, the material prices are arranged through historical projects made by enterprises, an enterprise material price library is formed, and the material prices are manually input or checked one by one in software according to the traditional mode, so that the construction method is time-consuming, complex and large in workload.
Disadvantage 1: when similar projects are made, different cost personnel dispute the application of the material price, the material price is various in variety (specification and model), the obtained material price data is various and obviously deviates from market quotations, and the accuracy and rationality of the cost file result are poor.
Disadvantage 2: the method of arranging the material price information by the material price library consumes a great deal of labor cost and time cost, an effective data closed loop cannot be formed, and accumulation and application of data are difficult to realize.
Disclosure of Invention
The embodiment of the invention mainly aims to provide a method, a device, electronic equipment and a medium for replacing market price by intelligent material price, which reduce manual input labor cost and time cost.
An aspect of the present invention provides a method for replacing market price with intelligent material price, which is characterized by comprising:
acquiring information price data, processing the information price data, and storing a processing result into a material library;
responding to the material price replacement request, and determining the market price according to the input information;
identifying the material to be detected, and searching a target material price from a material library in an artificial intelligence mode by market price;
and comparing the market price with the target material price, displaying a comparison result through the mark, and executing replacement of the market price according to the comparison result.
According to the method for replacing market price with intelligent material price, information price data is acquired, the information price data is processed, and a processing result is stored in a material library, and the method comprises the following steps:
acquiring the published information price data from a third party platform by adopting one of crawling or interface calling modes;
and sequentially storing the information price data according to the time interval, wherein the information price comprises at least one of a storage area, an option number, a name, a unit, a specification model and a market price.
The method for replacing market price by intelligent material price, wherein responding to the material price replacement request, determining the market price according to the input information comprises the following steps:
and identifying the material price to be detected, and obtaining at least one of the name, specification, unit and market price of the market price.
The method for replacing market price with intelligent material price, wherein the artificial intelligence comprises:
and training the historical project data by using a convolutional neural network by taking the historical project data as a training set, wherein the training process comprises the following steps:
and training is carried out by taking information price data as a data set and adopting a bert model, and the information price data consistent with the market price time and type is obtained through the model obtained by training.
According to the identification of the material to be detected, the market price adopts an artificial intelligence mode to search the target price from the material library, and the method further comprises the following steps:
acquiring a recommended material name, a recommended material unit price, a recommended material specification and a recommended unit of the market price in a price list to be replaced;
and comparing the market price with the target price to obtain a comparison result.
According to the method for replacing the market price by the intelligent material price, the market price and the target material price are compared to obtain a comparison result, and the method comprises the following steps:
if the market price and the target material price are equal, the comparison result of the market price is in a passing state;
and if the market price and the target price are unequal, calculating a percentage difference value between the market price and the target price, and taking the percentage difference value as the comparison result.
The method for replacing a market price according to the intelligent price, wherein the market price is compared with the target price, a comparison result is displayed through an identification, and replacement of the market price is performed according to the comparison result, comprising:
displaying the market price, the target price, the passing state and the percentage difference value on an interactive interface by adopting corresponding identifiers;
and automatically replacing the target material price meeting the preset conditions by the market price according to the interaction request.
Another aspect of the embodiments of the present invention provides an apparatus for replacing market price with intelligent material price, including:
the first module is used for acquiring information price data, processing the information price data and storing a processing result into a material library;
the second module is used for responding to the material price replacement request and determining market price according to the input information;
the third module is used for identifying the material to be detected, and the market price searches the target material price from the material library in an artificial intelligence mode;
and a fourth module for comparing the market price with the target price, displaying a comparison result through the mark, and executing replacement of the market price according to the comparison result.
Another aspect of an embodiment of the present invention provides an electronic device, including a processor and a memory;
the memory is used for storing programs;
the processor executes the program to implement the method as described above.
Embodiments of the present invention also disclose a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The computer instructions may be read from a computer-readable storage medium by a processor of a computer device, and executed by the processor, cause the computer device to perform the method described previously.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the invention will become apparent and may be better understood from the following description of embodiments taken in conjunction with the accompanying drawings in which:
FIG. 1 is a schematic diagram of a system for replacing market price with smart material price according to an embodiment of the present invention.
FIG. 2 is a schematic diagram of an intelligent material price replacement market price replacement flow according to an embodiment of the present invention.
Fig. 3 is a schematic flow chart of acquiring information price data according to an embodiment of the present invention.
FIG. 4 is a flow chart of artificial intelligence training of historical project data according to an embodiment of the invention.
FIG. 5 is a schematic diagram of a process for identifying market price in a project list according to an embodiment of the invention.
FIG. 6 is a schematic diagram of a flow chart comparing market price and target price according to an embodiment of the present invention.
Fig. 7a and fig. 7b are schematic diagrams of the intelligent material price replacement according to the embodiment of the invention.
FIG. 8 is a flow chart of an intelligent material price replacement market price replacement according to an embodiment of the present invention.
Fig. 9 is a diagram of an analysis apparatus for intelligent material price replacement market price according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. In the following description, suffixes such as "module", "part" or "unit" for representing elements are used only for facilitating the description of the present invention, and have no particular meaning in themselves. Thus, "module," "component," or "unit" may be used in combination. "first", "second", etc. are used for the purpose of distinguishing between technical features only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of the technical features indicated. In the following description, the continuous reference numerals of the method steps are used for facilitating examination and understanding, and the technical effects achieved by the technical scheme of the invention are not affected by adjusting the implementation sequence among the steps in combination with the overall technical scheme of the invention and the logic relations among the steps. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the invention.
Term interpretation:
engineering cost: the working processes of predicting, planning, controlling, accounting, analyzing, evaluating and the like the construction cost are called construction cost management by comprehensively utilizing knowledge and skills in the aspects of management, economy, engineering technology and the like. The prediction or determination of construction costs and their constituent contents according to procedures, methods and bases prescribed by laws and regulations, standards, and the like is called engineering pricing.
Artificial unit price: the unit price refers to the total labor cost that a construction installer should pay on a working day.
Material price: refers to the price of the materials delivered from the source or delivery site to the site warehouse or the site of construction. The material price is the basic unit price for calculating various material fees in engineering basic price.
Mechanical table unit price: refers to the total cost incurred by a work shift of a construction machine under normal operating conditions. The unit price of the construction machine is 'table' as a measuring unit.
Information price: the government cost authorities calculate the average price through weighted average through market research according to the consumption of various typical engineering materials and the social supply, and the average price belongs to the social average price and is published externally. Thus, it can be generally seen as a budget price. The information price is generally inquired in a journal of construction engineering cost information issued in various places, and the journal is a month journal and is updated and issued for a period of time every month. The method can also be used for inquiring on local cost networks, and the building material information price of the cost network is mainly standard reference price.
Budget price: refers to the integrated average price of the material as it arrives at the job site warehouse from its source. The material budget price is generally composed of the original price of the material, the commission fee of the supply and sales department, the packaging fee, the shipping fee, the purchasing and keeping fee.
Artificial intelligence: artificial intelligence is a new technical science based on computer science, which is a new theory, method, technology and application system for simulating, extending and expanding human intelligence by cross-fusing multiple subjects such as computer, psychology, philosophy and the like, and research and development of the field including robots, language recognition, image recognition, natural language processing, expert systems and the like, in order to understand the essence of intelligence and produce a new intelligent machine capable of reacting in a similar manner to human intelligence.
Referring to fig. 1, a schematic diagram of a system for replacing market price with intelligent material price in fig. 1 includes a server 100 and a client 200, wherein the server 100 is configured to obtain information price data, process the information price data, and store a processing result in a material library; the server 100 analyzes the input information in response to the material price replacement request of the client 200, and determines the market price; the server 200 identifies the material to be detected, searches the target material price from the material library in an artificial intelligence mode, and returns the obtained target material price to the client 200; the client 100 compares the market price with the target price, displays the comparison result by the mark, and performs replacement of the market price according to the comparison result.
Wherein the client 100 may be a web client or executable program.
Referring to fig. 2, wherein the intelligent material price replacement market price replacement flow diagram of fig. 2 includes, but is not limited to, steps S100-S400:
s100, information price data are acquired, the information price data are processed, and processing results are stored in a material library.
In some embodiments, referring to FIG. 3, a flow chart of acquiring information price data is illustrated, including but not limited to steps S110-S120:
s110, acquiring published information price data from a third party platform by adopting one of crawling or interface calling modes;
in some embodiments, official information prices published every month are obtained, such as from an official website.
In some embodiments, an information price library, a material sample library and other modes can be constructed, and the raw data is analyzed and classified and stored to form the material library, namely, the information price issued by government cost authorities in each region is collected, and the raw data is unified as a material sample to be put in storage from the moment of generation.
And S120, sequentially storing information price data according to the time intervals, wherein the information price comprises at least one of a storage area, an option number, a name, a unit, a specification model and a market price.
And S200, in response to the material price replacement request, determining the market price according to the input information.
In some embodiments, the market price is the name, specification, unit price, etc. of the corresponding material identified from the project cost file data;
s300, identifying the material to be detected, and searching a target material price from a material library in an artificial intelligence mode by using the market price;
in some embodiments, to increase the efficiency of finding material unit price, referring to fig. 4, which illustrates an artificial intelligence training process diagram with historical project data as training set, training is performed by using a convolutional neural network through the historical project data, wherein the training process includes S310:
and S310, training is performed by using the information price data as a data set and using a bert model, and the information price data consistent with the market price time and type is obtained through the model obtained by training.
Illustratively, the embodiment of the invention uses the Bert model, the information price of the material after finishing is used as a data set, the material is identified artificially and intelligently, the unit price of the material is recommended, a comparison result is generated, the click button is directly applied, and the intelligent material price identification result replaces the market price by one key.
In some embodiments, embodiments of the present invention further include identifying market prices, and comparing target prices, referring to FIG. 5, which includes, but is not limited to, steps S320-S330:
s320, acquiring a recommended material name, a recommended material unit price, a recommended material specification and a recommended unit of market price in a price list to be replaced;
s330, comparing the market price with the target price to obtain a comparison result.
In some embodiments, referring to FIG. 6, a schematic diagram illustrating a comparison of market price and target price includes, but is not limited to, steps S331-S332:
s331, if the market price and the target material price are equal, the comparison result of the market price is a passing state;
and S332, if the market price and the target price are not equal, calculating a percentage difference value between the market price and the target price, and taking the percentage difference value as a comparison result.
S400, comparing the market price with the target price, displaying a comparison result through the mark, and executing replacement of the market price according to the comparison result.
In some embodiments, referring to fig. 7a and 7b, in which fig. 7a is a man-machine interface, the upper left corner clicks the "intelligent price" button, and the artificial intelligence technology is used to accurately determine four columns of recommended material name, recommended material unit price, recommended material specification, and recommended unit; wherein FIG. 7b is a graph comparing information prices of materials returned by artificial intelligence, wherein the material price is a market price and the information price of artificial intelligence is a target material price.
(1) The material price in the project = information price of artificial intelligence, the material price difference column shows green "/", i.e. detection pass.
(2) The material unit price in the project > information price of artificial intelligence, and the material price difference column shows "++percentage of red color, such as:
“↑125％”。
percentage = (material unit price in project-information price of artificial intelligence)/information price of artificial intelligence 100%, integer.
(3) The material unit price < information price of artificial intelligence in the project, the material price difference column shows "++percentage of yellow, such as: "∈21%".
Percentage = (information price of artificial intelligence-material unit price in project)/information price of artificial intelligence 100%, integer.
In the recommended unit price column, push key'
And after clicking, pushing the material information price returned by the artificial intelligence to the market price column.
In some embodiments, pricing processes such as machine team unit price, labor unit price and engineering cost can be completed by completing the corresponding replacement process for all material unit price in the project that needs replacement
In some embodiments, referring to FIG. 8, where the raw data may be completed project cost data or published information prices, after identification, a library of materials is formed, which illustrates a method flow diagram of intelligent material price replacement, including: by constructing an information price library and a material sample library, matching personnel and machines in the project by using an artificial intelligence technology, recommending corresponding material information prices, and replacing an original market price by using a one-key intelligent material price. The complex work that the compilers search and input market price one by one and the auditor checks the market price one by one is saved, and the efficiency and the accuracy of the cost result file compilation are improved. The computer replaces manpower to automatically complete data acquisition, and virtuous circle of data production and accumulation is realized.
Fig. 9 is a diagram of an analysis apparatus for intelligent material price replacement market price according to an embodiment of the present invention. The apparatus includes a first module 910, a second module 920, a third module 930, and a fourth module 940.
The first module is used for acquiring information price data, processing the information price data and storing a processing result into the material library; the second module is used for responding to the material price replacement request and determining market price according to the input information; the third module is used for identifying the material to be detected, and the market price searches the target material price from the material library in an artificial intelligence mode; and a fourth module for comparing the market price with the target price, displaying the comparison result through the mark, and executing the replacement of the market price according to the comparison result.
By way of example, under the cooperation of the first module, the second module, the third module and the fourth module in the device, the embodiment device can realize any of the foregoing methods for replacing market price with intelligent material price, that is, obtain information price data, process the information price data, and store the processing result in a material library; responding to the material price replacement request, and determining the market price according to the input information; identifying the material to be detected, and searching a target material price from a material library in an artificial intelligence mode by market price; and comparing the market price with the target material price, displaying a comparison result through the mark, and executing replacement of the market price according to the comparison result. The embodiment of the invention constructs a material information price library, collects information prices issued by government construction authorities in various areas, and uses the raw data as a material sample for storage after the generation, without self-checking the data. The organization of a standard system is adopted, so that the collection and input in the cost file material sample are greatly standardized, and the obtained material price data are more accurate and reasonable. The artificial intelligence identifies the material, recommends the unit price of the material, generates a comparison result, matches the data and recommends the material price according to the built-in material information price library by adopting the artificial intelligence technology, and generates the comparison result for the returned material price information. The intelligent material price identification result is directly applied by clicking the button, the market price is replaced by one key without manual input, and the market price of the material is quickly replaced by one key application, so that the manual input labor cost and the time cost are greatly reduced.
The embodiment of the invention also provides electronic equipment, which comprises a processor and a memory;
the memory stores a program;
the processor executes the program to execute the method for replacing the market price by the intelligent material price; the electronic device has the function of carrying and running a software system for replacing market price with intelligent material price provided by the embodiment of the invention, such as a personal computer (Personal Computer, PC), a mobile phone, a smart phone, a personal digital assistant (Personal Digital Assistant, PDA), a wearable device, a palm computer PPC (Pocket PC), a tablet computer and the like.
Embodiments of the present invention also provide a computer-readable storage medium storing a program that is executed by a processor to implement a method of replacing market price with smart material price as described above.
In some alternative embodiments, the functions/acts noted in the block diagrams may occur out of the order noted in the operational illustrations. For example, two blocks shown in succession may in fact be executed substantially concurrently or the blocks may sometimes be executed in the reverse order, depending upon the functionality/acts involved. Furthermore, the embodiments presented and described in the flowcharts of the present invention are provided by way of example in order to provide a more thorough understanding of the technology. The disclosed methods are not limited to the operations and logic flows presented herein. Alternative embodiments are contemplated in which the order of various operations is changed, and in which sub-operations described as part of a larger operation are performed independently.
Embodiments of the present invention also disclose a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The computer instructions may be read from a computer-readable storage medium by a processor of a computer device, and executed by the processor, cause the computer device to perform the aforementioned method of replacing market price with smart material price.
Furthermore, while the invention is described in the context of functional modules, it should be appreciated that, unless otherwise indicated, one or more of the described functions and/or features may be integrated in a single physical device and/or software module or one or more functions and/or features may be implemented in separate physical devices or software modules. It will also be appreciated that a detailed discussion of the actual implementation of each module is not necessary to an understanding of the present invention. Rather, the actual implementation of the various functional modules in the apparatus disclosed herein will be apparent to those skilled in the art from consideration of their attributes, functions and internal relationships. Accordingly, one of ordinary skill in the art can implement the invention as set forth in the claims without undue experimentation. It is also to be understood that the specific concepts disclosed are merely illustrative and are not intended to be limiting upon the scope of the invention, which is to be defined in the appended claims and their full scope of equivalents.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: many changes, modifications, substitutions and variations may be made to the embodiments without departing from the spirit and principles of the invention, the scope of which is defined by the claims and their equivalents.
While the preferred embodiment of the present invention has been described in detail, the present invention is not limited to the embodiments described above, and those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of the present invention, and these equivalent modifications or substitutions are included in the scope of the present invention as defined in the appended claims.
Claims (10)
1. A method for replacing market price with intelligent material price, comprising:
acquiring information price data, processing the information price data, and storing a processing result into a material library; responding to the material price replacement request, and determining the market price according to the input information; identifying the material to be detected, and searching a target material price from a material library in an artificial intelligence mode by market price; and comparing the market price with the target material price, displaying a comparison result through the mark, and executing replacement of the market price according to the comparison result.
2. The method for replacing market price with intelligent material price according to claim 1, wherein the obtaining information price data, processing the information price data, and storing the processing result in a material library comprises:
acquiring the published information price data from a third party platform by adopting one of crawling or interface calling modes;
and sequentially storing the information price data according to the time interval, wherein the information price comprises at least one of a storage area, an option number, a name, a unit, a specification model and a market price.
3. The method of claim 2, wherein said determining a market price from the entered information in response to the price replacement request comprises:
and identifying the material price to be detected, and obtaining at least one of the name, specification, unit and market price of the market price.
4. The method of claim 1, wherein the artificial intelligence comprises:
and training the historical project data by using a convolutional neural network by taking the historical project data as a training set, wherein the training process comprises the following steps:
and training is carried out by taking information price data as a data set and adopting a bert model, and the information price data consistent with the market price time and type is obtained through the model obtained by training.
5. The method for replacing market price with intelligent material price according to claim 4, wherein the identifying the material to be detected, the market price searching for the target material price from the material library by artificial intelligence, further comprises:
acquiring a recommended material name, a recommended material unit price, a recommended material specification and a recommended unit of the market price in a price list to be replaced;
and comparing the market price with the target price to obtain a comparison result.
6. The method of replacing market price with intelligent material price according to claim 5, wherein comparing the market price with the target material price to obtain a comparison result comprises:
if the market price and the target material price are equal, the comparison result of the market price is in a passing state;
and if the market price and the target price are unequal, calculating a percentage difference value between the market price and the target price, and taking the percentage difference value as the comparison result.
7. The method of replacing a market price with an intelligent price according to claim 6, wherein the comparing the market price with the target price, displaying a comparison result by identification, and performing replacement of a market price according to the comparison result, comprises:
displaying the market price, the target price, the passing state and the percentage difference value on an interactive interface by adopting corresponding identifiers;
and automatically replacing the target material price meeting the preset conditions by the market price according to the interaction request.
8. An intelligent material price replacement market price device, which is characterized by comprising:
the first module is used for acquiring information price data, processing the information price data and storing a processing result into a material library;
the second module is used for responding to the material price replacement request and determining market price according to the input information;
the third module is used for identifying the material to be detected, and the market price searches the target material price from the material library in an artificial intelligence mode;
and a fourth module for comparing the market price with the target price, displaying a comparison result through the mark, and executing replacement of the market price according to the comparison result.
9. An electronic device comprising a processor and a memory;
the memory is used for storing programs;
the processor executing the program implements the method of replacing market prices with smart prices according to any of claims 1 to 7.
10. A computer-readable storage medium, wherein the storage medium stores a program that is executed by a processor to implement the method of replacing market prices with intelligent material prices according to any of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211278171.1A CN116012037A (en) | 2022-10-19 | 2022-10-19 | Method and device for replacing market price by intelligent material price, electronic equipment and medium |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113986869A (en) * | 2021-09-09 | 2022-01-28 | 昆明行列科技有限公司 | Construction engineering material price information data calculation method based on machine learning time sequence prediction algorithm |
| CN114168716A (en) * | 2022-02-11 | 2022-03-11 | 华南理工大学 | Deep learning-based automatic engineering cost extraction and analysis method and device |
| CN114625848A (en) * | 2022-02-17 | 2022-06-14 | 来也科技(北京)有限公司 | Method and device for checking unit price in contract combining RPA and AI |
| CN114663034A (en) * | 2022-05-24 | 2022-06-24 | 深圳劲嘉集团股份有限公司 | Processing platform and method for printed packaged product sales order |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113986869A (en) * | 2021-09-09 | 2022-01-28 | 昆明行列科技有限公司 | Construction engineering material price information data calculation method based on machine learning time sequence prediction algorithm |
| CN114168716A (en) * | 2022-02-11 | 2022-03-11 | 华南理工大学 | Deep learning-based automatic engineering cost extraction and analysis method and device |
| CN114625848A (en) * | 2022-02-17 | 2022-06-14 | 来也科技(北京)有限公司 | Method and device for checking unit price in contract combining RPA and AI |
| CN114663034A (en) * | 2022-05-24 | 2022-06-24 | 深圳劲嘉集团股份有限公司 | Processing platform and method for printed packaged product sales order |
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