CN117710073A - Intelligent label grouping method and system - Google Patents
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Abstract
The invention relates to the technical field of engineering bidding, and particularly discloses an intelligent bidding grouping method and system, wherein the method comprises the steps of acquiring a price inquiry sheet which is subjected to online bidding and requires to be spliced, and storing the price inquiry sheet in a joint bidding standby library; judging whether price inquiry sheets in the joint bidding standby library meet joint bidding conditions or not, wherein the joint bidding conditions comprise the same or similar service elements; and combining the price inquiry sheets meeting the joint bidding conditions into a project to form a joint bidding plan, and displaying the joint bidding plan in a joint bidding plan list for bidding release. The scheme can improve the rationality of the combined bid, and realize the cost reduction and efficiency enhancement of bidding business.
Description
Technical Field
The invention relates to the technical field of engineering bidding, in particular to an intelligent bidding grouping method, an intelligent bidding grouping system, computing equipment and a storage medium.
Background
Bidding and bidding are the process of competitive bidding between suppliers and purchasing units in the fields of purchasing or engineering construction, etc. No matter what industry, a requirement forms a project, bidding is carried out by taking the project as a unit, suppliers bid, and construction business of the project is obtained after bidding. The single bidding mode is unfavorable for cost reduction and efficiency improvement of the service.
Disclosure of Invention
In order to solve the problems, the intelligent bid grouping method and system are provided, and the requirements with the same project requirements, similar service areas and time are combined into one project by matching the same or similar elements with the on-line bid-inviting client requirements, so that the joint bid-inviting release is performed, the service cost of suppliers can be reduced, the service efficiency of a demander is improved, and the cost reduction and efficiency improvement of a bid-inviting system are facilitated.
According to the first aspect of the invention, an intelligent bid grouping method is provided, which comprises the steps of acquiring a bid-inquiring list which is requested to be assembled and used for online bidding, and storing the bid-inquiring list in a joint bid-inviting candidate library; judging whether price inquiry sheets in the joint bidding standby library meet joint bidding conditions or not, wherein the joint bidding conditions comprise the same or similar service elements; and combining the price inquiry sheets meeting the joint bidding conditions into a project to form a joint bidding plan, and displaying the joint bidding plan in a joint bidding plan list for bidding release.
Optionally, in the intelligent bid grouping method provided by the invention, the price inquiry list newly added into the joint bid waiting library is matched with the existing joint bid plan, and if the matching is successful, the price inquiry list is added into the existing joint bid plan; if the matching fails, matching the current price inquiry list with other price inquiry lists in the joint bid candidate library until the matching becomes a joint bid plan and then moving out of the joint bid candidate library.
Optionally, in the intelligent labeling method provided by the invention, the client requirements submitted on the demand side line are obtained; verifying and screening the customer demands, and screening out the real and effective customer demands to form a price polling list; and storing the price inquiry list with the customer requirement being the spelling list in the joint bid candidate library.
Optionally, in the intelligent bid grouping method provided by the invention, the service category and service item information, construction site information and service time information of each price inquiry list in the joint bid-accepting and waiting-selecting library are extracted; matching analysis is carried out on the extracted service category and service item information, and price inquiry sheets with the same service item are screened out to form a first data set; screening price inquiry sheets with similar construction sites from the first data set to obtain a second data set; and screening the polling list with the service time difference within a preset time range from the second data set.
Optionally, in the intelligent labeling method provided by the invention, text preprocessing is carried out on the extracted service items, and features are extracted from the preprocessed texts to obtain feature vectors of the service items of each price inquiry list; calculating the similarity between the feature vectors of every two price inquiry sheets; and screening out the price inquiry sheets with the same service items according to the similarity threshold value to form a first data set.
Optionally, in the intelligent labeling method provided by the invention, a geographic distance calculation method is used for calculating the distance between areas of each price inquiry in the first data set; and classifying the regional adjacent price inquiry lists into a second data set according to the distance threshold.
Optionally, in the intelligent labeling method provided by the invention, format conversion is performed on the time information extracted in the second data set; determining a screening time range, and judging whether the service time difference between every two price inquiring sheets is within the time range or not; and classifying the price inquiry list in the time range into a joint bid candidate library.
According to a second aspect of the present invention, there is provided an intelligent group marking system based on big data, comprising: the system comprises an acquisition module, a judgment module and a release module.
The acquisition module is used for acquiring a price inquiry list which is subjected to online bidding and requires spelling, and storing the price inquiry list in a joint bidding standby library; the judging module is used for judging whether the price inquiry list in the joint bidding standby library accords with the joint bidding condition, and the joint bidding condition comprises the same or similar service elements; and the release module is used for combining the price inquiry sheets meeting the joint bidding conditions into a project to form a joint bidding plan, and displaying the joint bidding plan in a joint bidding plan list for bidding release.
According to a third aspect of the present invention there is provided a computing device comprising: at least one processor; and a memory storing program instructions, wherein the program instructions are configured to be executed by the at least one processor, the program instructions comprising instructions for performing the intelligent labeling method described above.
According to a fourth aspect of the present invention, there is provided a readable storage medium storing program instructions that, when read and executed by a computing device, cause the computing device to perform the intelligent labeling method described above.
According to the intelligent labeling method and the intelligent labeling system, the customer requirements are analyzed and integrated, similarity screening is carried out on the extracted regional data, time data and service data, and the same or similar customer requirements are combined, so that resource sharing and collaborative cooperation are realized, and the effects of reducing cost and improving efficiency are achieved.
The foregoing description is only an overview of the present invention, and is intended to be implemented in accordance with the teachings of the present invention in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present invention more readily apparent.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
FIG. 1 illustrates a block diagram of a computing device 100 according to one embodiment of the invention;
FIG. 2 illustrates a flow diagram of an intelligent labeling method 200 according to one embodiment of the invention;
fig. 3 shows a schematic diagram of the architecture of an intelligent group marking system 300, according to one embodiment of the present invention.
Detailed Description
For the price inquiry list of the on-line bid and client request splice plate in engineering service industry, a project can be formed for joint bid as long as the service demands are approximately the same and the service time and the service place are similar. After the bid is marked in the supplier, a construction team can be dispatched to complete a plurality of construction projects at similar time and place. Thus being beneficial to the cost reduction and efficiency enhancement of the business and achieving win-win effect.
In order to achieve the effects of reducing cost and improving efficiency, the scheme provides an intelligent bid-combining method, which combines the items which are screened to have the same or similar demand elements through matching and screening the demand data of clients, thereby realizing joint bid-combining.
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
FIG. 1 illustrates a block diagram of a computing device 100 according to one embodiment of the invention. As shown in FIG. 1, in a basic configuration 102, a computing device 100 typically includes memory 106 and one or more processors 104. The memory bus 108 may be used for communication between the processor 104 and the memory 106.
The processor 104 may be any type of processor including, but not limited to: microprocessor (μp), microcontroller (μc), digital information processor (DSP), or any combination thereof. The processor 104 may include one or more levels of caches, such as a first level cache 110 and a second level cache 112, a processor core 114, and registers 116. The example processor core 114 may include an Arithmetic Logic Unit (ALU), a Floating Point Unit (FPU), a digital signal processing core (DSP core), or any combination thereof. The example memory controller 118 may be used with the processor 104, or in some implementations, the memory controller 118 may be an internal part of the processor 104.
Memory 106 may be any type of memory including, but not limited to: volatile memory (such as RAM), non-volatile memory (such as ROM, flash memory, etc.), or any combination thereof. Physical memory in a computing device is often referred to as volatile memory, RAM, and data in disk needs to be loaded into physical memory in order to be read by processor 104. The system memory 106 may include an operating system 120, one or more applications 122, and program data 124.
In some implementations, the application 122 may be arranged to execute instructions on an operating system by the one or more processors 104 using the program data 124. The operating system 120 may be, for example, linux, windows or the like, which includes program instructions for handling basic system services and performing hardware-dependent tasks. The application 122 includes program instructions for implementing various functions desired by the user, and the application 122 may be, for example, a browser, instant messaging software, a software development tool (e.g., integrated development environment IDE, compiler, etc.), or the like, but is not limited thereto. When an application 122 is installed into computing device 100, a driver module may be added to operating system 120.
When the computing device 100 starts up running, the processor 104 reads the program instructions of the operating system 120 from the memory 106 and executes them. Applications 122 run on top of operating system 120, utilizing interfaces provided by operating system 120 and underlying hardware to implement various user-desired functions. When a user launches the application 122, the application 122 is loaded into the memory 106, and the processor 104 reads and executes the program instructions of the application 122 from the memory 106.
Computing device 100 also includes storage device 132, storage device 132 including removable storage 136 and non-removable storage 138, both removable storage 136 and non-removable storage 138 being connected to storage interface bus 134.
Computing device 100 may also include an interface bus 140 that facilitates communication from various interface devices (e.g., output devices 142, peripheral interfaces 144, and communication devices 146) to basic configuration 102 via bus/interface controller 130. The example output device 142 includes a graphics processing unit 148 and an audio processing unit 150. They may be configured to facilitate communication with various external devices such as a display or speakers via one or more a/V ports 152. Example peripheral interfaces 144 may include a serial interface controller 154 and a parallel interface controller 156, which may be configured to facilitate communication with external devices such as input devices (e.g., keyboard, mouse, pen, voice input device, touch input device) or other peripherals (e.g., printer, scanner, etc.) via one or more I/O ports 158. An example communication device 146 may include a network controller 160, which may be arranged to facilitate communication with one or more other computing devices 162 via one or more communication ports 164 over a network communication link.
The network communication link may be one example of a communication medium. Communication media may typically be embodied by computer readable instructions, data structures, program modules, and may include any information delivery media in a modulated data signal, such as a carrier wave or other transport mechanism. A "modulated data signal" may be a signal that has one or more of its data set or changed in such a manner as to encode information in the signal. By way of non-limiting example, communication media may include wired media such as a wired network or special purpose network, and wireless media such as acoustic, radio Frequency (RF), microwave, infrared (IR) or other wireless media. The term computer readable media as used herein may include both storage media and communication media. In the computing device 100 according to the invention, the application 122 comprises instructions for performing the intelligent labeling method 200 of the invention.
FIG. 2 illustrates a flow diagram of an intelligent labeling method 200 according to one embodiment of the invention. As shown in FIG. 2, the method 200 begins with step S210 of obtaining a price order for an online bid and requiring a collage, storing the price order in a joint bid candidate library.
First, customer requirements submitted on the line of the demand party are obtained. And then verifying and screening the customer demands, and screening out the real and effective customer demands to form a price polling list.
For example, consider factors such as existing resources, technical capabilities, and time constraints, to evaluate whether an item can be successfully completed. According to preset screening conditions, the requirements which do not meet the conditions are eliminated. For example, if an item is out of the organization's capacity range or budget limits, it is excluded, which can ensure that customer needs are accurately recorded in detail in the polling ticket.
And storing the price inquiry list with the customer requirement being the spelling list in the joint bid candidate library. The price inquiry list can issue a bid in the list of the price inquiry list, but the price inquiry list exits from the candidate library after being issued and enters into the spelling list library.
And then executing step S220, and judging whether the price inquiry list in the joint bidding standby library meets the joint bidding condition, wherein the joint bidding condition comprises the same or similar service elements.
Specifically, firstly, service category and service item information, construction site information and service time information of each price inquiry list in the joint bid-accepting and candidate library are extracted.
And then, carrying out matching analysis on the extracted service category and service item information, screening out price inquiry sheets with the same service item, and forming a first data set. For example, text preprocessing is carried out on the extracted service items, and features are extracted from the preprocessed text, so that feature vectors of the service items of each price inquiry list are obtained; calculating the similarity between the feature vectors of every two price inquiry sheets; and screening out the price inquiry sheets with the same service items according to the similarity threshold (for example, 90%) to form a first data set.
And continuously screening out price inquiry sheets with similar construction sites from the first data set to obtain a second data set. The distance between regions of the price queries in the first dataset may be calculated using a geographic distance calculation method. For example, the distance between two areas is calculated by using longitude and latitude, or whether the two areas are close is judged according to administrative division information, and whether the construction site is the same city is judged. And classifying the regional adjacent price inquiry lists into a second data set according to the distance threshold.
And then according to the time dimension, selecting the polling list with the service time difference within a preset time range from the second data set. The time information extracted in the second data set may be first format converted into a unified time unit. And then determining a screening time range, such as 10 days, and judging whether the service time difference between every two price enquiry sheets is within the time range, namely checking whether the service time difference of the two price enquiry sheets is less than or equal to 10 days. And classifying the price inquiry list in the time range into a joint bid candidate library.
That is, the price inquiry list meeting the above-mentioned joint bidding condition firstly enters the joint bidding standby library, if there is a joint bidding plan, if some projects are issued and bidding is carried out in the plan, the price inquiry list containing non-bidding enters the spelling list library; if a price inquiry list in the joint bid-accepting candidate library is partially bid, the price inquiry list enters a spelling list library.
And finally, executing step S230, combining the price inquiry sheets meeting the joint bidding conditions into a project to form a joint bidding plan, and displaying the project in a joint bidding plan list for bidding release.
Two or more price inquiry sheets screened in the step S220 can be combined into a project to form a combined bid-inviting plan. Table 1 shows a list of joint bid plans according to one embodiment of the invention:
TABLE 1
As shown in table 1, the fuzzy query may be performed according to the plan number; the method can be used for screening single options according to service areas, service categories and service items, wherein keyword searching can be input in a drop-down option box, a result is selected for inquiry, and the service categories and the service items are linkage options.
In one embodiment of the invention, an operator can select a certain plan directly in the joint bidding planning list to issue the joint bidding generated by composition, can select a certain part of the targets in the joint bidding planning to bid, and can also add the plan into other projects to bid. After the bid is released, the joint plan is terminated whether or not all the projects are already participating.
It should be noted that the joint bid-bidding plan exists dynamically, when it is detected that the price-inquiring list accords with the joint bid-bidding forming plan, the price-inquiring list newly added into the joint bid-bidding standby library is matched with the existing joint bid-bidding plan, and if the matching is successful, the price-inquiring list is added into the existing joint bid-bidding plan; if the matching fails, matching the current price inquiry list with other price inquiry lists in the joint bid candidate library until the matching becomes a joint bid plan and then moving out of the joint bid candidate library.
Fig. 3 shows a schematic diagram of the architecture of an intelligent group marking system 300, according to one embodiment of the present invention. As shown in fig. 3, the system 300 may include an acquisition module 310, a determination module 320, and a publication module 330.
The acquiring module 310 may acquire a price query of the online bid and require the spelling order, and store the price query in the joint bid candidate library.
The determining module 320 may determine whether the price inquiry in the joint bid candidate repository meets a joint bid condition, where the joint bid condition includes the same or similar service elements. For example, the judging module firstly matches service categories with service items, screens out price inquiry sheets of the same service items, screens out price inquiry sheets close to the region according to the region data, screens out price inquiry sheets close to the service time according to the time data, and combines the screened price inquiry sheets to form a combined standard.
The publishing module 330 can combine the price inquiry sheets meeting the joint bidding conditions into a project to form a joint bidding plan, and display the project in a joint bidding plan list for bidding publishing. The screened combined targets formed by combining the price inquiry sheets can be directly used as a project release target, and a certain part of the combined target release target can be selected in a combined target release plan to release targets.
According to the intelligent bid-grouping method and system provided by the invention, the customer demands of online bid-grouping requirements are combined by the same or similar elements, the bid-inquiring sheets with the same item, similar service areas and planned service time are combined into one item, and the bid-grouping release is carried out in a combined way, so that the rationality of bid grouping can be improved, the service cost of suppliers can be reduced, the service efficiency of a demander can be improved, and the cost and efficiency of a bid-bidding system can be reduced.
In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Furthermore, some of the embodiments are described herein as methods or combinations of method elements that may be implemented by a processor of a computer system or by other means for performing the described functions. Thus, a processor with the necessary instructions for implementing the described method or method element forms a means for implementing the method or method element. As used herein, while the invention has been described with respect to a limited number of embodiments, those skilled in the art, having benefit of the above description, will appreciate that other embodiments are contemplated within the scope of the invention as described herein. It should be noted that the language used in the specification has been principally selected for readability and instructional purposes, and may not have been selected to delineate or circumscribe the inventive subject matter. The disclosure of the present invention is intended to be illustrative, but not limiting, of the scope of the invention.
Claims (10)
1. An intelligent label combining method is characterized by comprising the following steps:
acquiring an inquiry list of online bidding and requiring spelling, and storing the inquiry list in a joint bidding standby library;
judging whether price inquiry sheets in the joint bidding standby library meet joint bidding conditions or not, wherein the joint bidding conditions are that the joint bidding conditions contain the same or similar service elements;
and combining the price inquiry sheets meeting the joint bidding conditions into a project to form a joint bidding plan, and displaying the joint bidding plan in a joint bidding plan list for bidding release.
2. The intelligent labeling method of claim 1, further comprising:
matching the price inquiry list newly added into the joint bid candidate library with the existing joint bid plan, and adding the price inquiry list into the existing joint bid plan if the matching is successful;
and if the matching fails, matching the current price inquiry list with other price inquiry lists in the joint bid candidate library until the matching becomes a joint bid plan and then moving out of the joint bid candidate library.
3. The intelligent bidding method of claim 1, wherein the step of obtaining an inquiry order of online bidding and requiring a spelling order, and storing the inquiry order in a joint bidding candidate library comprises:
acquiring customer demands submitted on a demand side line;
verifying and screening the client demands, and screening out real and effective client demands to form a price polling list;
and storing the price inquiry list with the customer requirement being the spelling list in the joint bid candidate library.
4. The intelligent bidding method according to claim 1, wherein the step of determining whether the price inquiry list in the joint bidding candidate library meets a joint bidding condition, the joint bidding condition is that the joint bidding condition contains the same or similar service elements comprises:
extracting service category and service item information, construction site information and service time information of each price inquiry list in the joint bid-asking candidate library;
matching analysis is carried out on the extracted service category and service item information, and price inquiry sheets with the same service item are screened out to form a first data set;
screening out price inquiry sheets with similar construction sites from the first data set to obtain a second data set;
and screening out the polling list with the service time difference within a preset time range from the second data set.
5. The intelligent labeling method according to claim 4, wherein the step of performing matching analysis on the extracted service category and service item information to screen out the same price inquiry list of the service item, and forming the first data set comprises:
performing text preprocessing on the extracted service items, extracting features from the preprocessed text, and obtaining feature vectors of the service items of each price inquiry list;
calculating the similarity between the feature vectors of every two price inquiry sheets;
and screening out the price inquiry sheets with the same service items according to the similarity threshold value to form a first data set.
6. The intelligent labeling method according to claim 4, wherein the step of screening out the price inquiry sheets with similar construction sites from the first data set to obtain a second data set comprises:
calculating the distance between the regions of each price inquiry list in the first data set by using a geographic distance calculation method;
and classifying the regional adjacent price inquiry lists into a second data set according to the distance threshold.
7. The intelligent labeling method according to claim 4, wherein the step of screening the second data set for the polling orders having the difference between the service times within a predetermined time range comprises:
performing format conversion on the time information extracted from the second data set;
determining a screening time range, and judging whether the service time difference between every two price inquiring sheets is within the time range;
and classifying the price inquiry list in the time range into a joint bid candidate library.
8. An intelligent group marking system, comprising:
the acquisition module is used for acquiring an inquiry list which is subjected to online bidding and requires a spelling list, and storing the inquiry list in a joint bidding standby library;
the judging module is used for judging whether the price inquiry list in the joint bidding standby library accords with joint bidding conditions, and the joint bidding conditions are that the joint bidding conditions contain the same or similar service elements;
and the release module is used for combining the price inquiry sheets meeting the joint bidding conditions into a project to form a joint bidding plan, and displaying the joint bidding plan in a joint bidding plan list for bidding release.
9. A computing device, comprising:
at least one processor; and a memory storing program instructions, wherein the program instructions are configured to be adapted to be executed by the at least one processor, the program instructions comprising instructions for performing the intelligent labeling method of any of claims 1-7.
10. A readable storage medium storing program instructions which, when read and executed by a computing device, cause the computing device to perform the intelligent labeling method of any of claims 1-7.
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