CN112990713A - Method, system and storage medium for evaluating engineering consultation service in whole process - Google Patents
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Abstract
The application relates to the field of engineering overall processes, in particular to an overall process engineering consultation service evaluation method, system and storage medium, which comprises the steps of integrating overall process engineering consultation related data, uploading the related data to a computer, wherein the related data comprises bidding data, engineering cost data and construction progress data; based on the data marking program, the construction cost data is marked as a first key factor set, and the construction progress data is marked as a second key factor setMarking the bidding data as a third key factor set; constructing a total process engineering consultation service weight function based on the first key factor set, the second key factor set and the third key factor set, wherein Z = a/A S1+b/B*S2+c/C*S3(ii) a And obtaining an engineering counseling service weight value based on the constructed whole-process engineering counseling service weight function, and evaluating the engineering project to be counseled based on the obtained engineering counseling service weight value. The method and the device have the effect of improving the service efficiency of the whole process of the engineering.
Description
Technical Field
The application relates to the field of engineering overall processes, in particular to an overall process engineering consultation service evaluation method, system and storage medium.
Background
The whole-process engineering consultation refers to engineering consultation services of various relevant aspects such as organization, management, economy, technology and the like, which are provided for the whole life cycle of a construction project, and comprises professional consultation services such as whole-process engineering project management, investment consultation, investigation, design, construction cost consultation, bid inviting agency, supervision, operation maintenance consultation and BIM consultation of the project.
In the consulting management of the related technology, generally, a manager manually analyzes engineering data according to the collected engineering data and then provides the engineering related personnel for browsing.
With respect to the related art in the above, the inventors consider that there is a drawback that the service efficiency is low.
Disclosure of Invention
In order to improve the service efficiency of the whole engineering process, the application provides a whole process engineering consultation service evaluation method, a whole process engineering consultation service evaluation system and a storage medium.
In a first aspect, the application provides a method for evaluating engineering consulting services in a whole process, which adopts the following technical scheme:
a whole process engineering consultation service evaluation method comprises the following steps:
integrating relevant data of engineering consultation in the whole process, and uploading the relevant data to a computer, wherein the relevant data comprises bidding data, engineering cost data and construction progress data;
marking bidding data, engineering cost data and construction progress data respectively based on a data marking program, marking the engineering cost data as a first key factor set, marking the construction progress data as a second key factor set, marking the bidding data as a third key factor set, wherein the first key factor set comprises at least one first key factor, the second key factor set comprises at least one second key factor, and the third key factor set comprises at least one third key factor;
constructing a total process engineering consultation service weight function based on the first key factor set, the second key factor set and the third key factor set, wherein Z = a/A S1+b/B*S2+c/C*S3Wherein Z is the weighted value of the engineering consultation service, a is the value of at least one first key factor in the first key factor set, A is the total value of the first key factors in the first key factor set, and S1Is the weight coefficient of the first key factor, B is the value of at least one second key factor in the second key factor set, B is the total value of the second key factors in the second key factor set, S2Is the weight coefficient of the second key factor, C is the value of at least one third key factor in the third key factor set, C is the total value of the third key factors in the third key factor set, S3A weight coefficient being a third key factor;
and obtaining an engineering counseling service weight value based on the constructed whole-process engineering counseling service weight function, and evaluating the engineering project to be counseled based on the obtained engineering counseling service weight value.
By adopting the technical scheme, bidding data, engineering cost data and construction progress data are integrated, the data are marked according to a data marking program, the engineering cost data form a first key factor set, the construction progress data form a second key factor set, the bidding data form a third key factor set, an engineering consultation service weight value is calculated according to a constructed whole-process engineering consultation service weight function, and then an engineering project to be consulted is evaluated according to the obtained engineering consultation service weight value.
Optionally, the method includes a consultation request matching step before the client consults the whole process engineering project, and the consultation request matching step includes:
generating a consultation service request based on the client consultation intention, and acquiring a keyword comparison character string according to the consultation service request;
presetting a keyword database, matching the similarity of the acquired keyword comparison character string with the keyword character string in the preset keyword database, and taking the successfully matched keyword character string as a matched keyword;
and performing correlation search in a preset consultation database based on the matched keywords to obtain corresponding consultation contents.
By adopting the technical scheme, the consultation request is matched before the client consults, the consultation service request is formed according to the consultation intention of the client, then the keyword comparison character string is obtained according to the consultation service request, the obtained keyword comparison character string is subjected to similarity matching with the keyword character string in the preset keyword database, the successfully matched keyword character string is used as the matching keyword, and then the correlation search can be carried out in the preset consultation database according to the matching keyword to obtain the corresponding consultation content, so that the client can consult the engineering project conveniently.
Optionally, the step of obtaining the matching keyword includes:
and based on the character string comparison program, carrying out similarity comparison on the acquired keyword comparison character string and at least one keyword character string in a preset keyword database, and taking the keyword character string with the highest similarity comparison as a matching keyword.
By adopting the technical scheme, the keyword comparison character string and the preset keyword character string can be compared according to the related character string comparison program so as to obtain the similarity between the keyword comparison character string and the preset keyword character string, and the keyword character string with the highest similarity is used as the matching keyword, so that the matching keyword can be conveniently selected.
Optionally, when the obtained keyword character string cannot be matched with the keyword character string in the preset keyword database, the generated consultation service request is automatically converted into manual consultation service.
By adopting the technical scheme, if the keyword character string cannot be matched with the preset keyword character string or the matching is unsuccessful, the generated consultation service request can be automatically converted into manual service, and further, the condition that the customer waits for too long time to influence the consultation experience can be avoided during consultation.
Optionally, when bidding data, construction cost data and construction progress data are marked, the method includes:
respectively extracting characteristic values of the bidding data, the engineering cost data and the construction progress data, and respectively classifying the bidding data, the engineering cost data and the construction progress data according to the extracted characteristic values;
and setting the extracted characteristic value as a mark symbol, and respectively carrying out symbol marking on the bidding data, the engineering cost data and the construction progress data based on the mark symbol.
By adopting the technical scheme, the characteristic values in the bidding data, the construction cost data and the construction progress data are respectively extracted, then the three data are classified and sorted according to the extracted characteristic values, the extracted characteristic values are set as the mark symbols, and then the mark symbols are adopted to mark the three data, so that the classification mark sorting of the bidding data, the construction cost data and the construction progress data is facilitated.
Optionally, the bidding document includes bidding documents and technical documents, the construction cost document includes material and equipment purchase list and staff payroll expense list, and the construction progress document includes real-time construction progress data and stage construction progress data.
By adopting the technical scheme, the bidding data is set into the bidding document and the technical document, the engineering cost data is set into the material and equipment purchase list and the staff wage expense list, and the construction progress data is set into the real-time construction progress data and the staged construction progress data, so that the data of the engineering project can be comprehensively covered.
In a second aspect, the whole process engineering consultation service evaluation system provided by the application adopts the following technical scheme:
a full process engineering consulting services evaluation system comprising a memory, a processor and a computer program stored in the memory and capable of running on the processor, when loaded with the computer program, performing the method of the first aspect.
By adopting the technical scheme, the computer program is generated based on the method of the first aspect and is stored in the memory so as to be loaded and executed by the processor, and therefore, the whole process engineering consultation service evaluation system is generated according to the memory and the processor, and the use by a user is facilitated.
In a third aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions:
a computer-readable storage medium having stored thereon a computer program which, when loaded by a processor, performs the method of the first aspect.
By adopting the technical scheme, the computer program is generated based on the method of the first aspect and is stored in the computer readable storage medium to be loaded and executed by the processor, and the computer program is readable and stored through the computer readable storage medium, so that a user can conveniently call and use the computer program.
In summary, the present application includes at least one of the following beneficial technical effects:
the engineering consultation service weight value is calculated based on the constructed whole-process engineering consultation service weight function, and the engineering project to be consulted is evaluated according to the obtained engineering consultation service weight value.
Drawings
FIG. 1 is an overall method flowchart of the overall process engineering consulting service evaluation method of the present application.
FIG. 2 is a flow chart of a marking method for marking bidding data, construction cost data and construction progress data according to the present application.
Fig. 3 is a flowchart of a consultation request matching method of the overall process engineering consultation service evaluation method of the present application.
Fig. 4 is a flowchart of a method for acquiring matching keywords of the overall process engineering consultation service evaluation method of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is further described in detail below with reference to fig. 1-4 and the embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The engineering consultation service in the whole process can adopt various organization modes, an investor authorizes one unit to take charge or lead, and a local or overall solution and management service are continuously provided for the project from decision to operation.
The embodiment of the application discloses a method for evaluating engineering consultation service in the whole process. Referring to fig. 1, the method includes:
in this embodiment, the related data may include bidding data, construction cost data, and construction progress data, and specifically, when the related data is uploaded to the computer, the related data may be imported into the database of the computer by means of an external transmission terminal, and preferably, the external transmission terminal may adopt a usb disk, and may also send the related data to the database of the computer in a scanning manner.
In this embodiment, the bidding document may include a bidding document and a technical document, the bidding document may include a legal representative person identification, a legal authorized committee, a bidding letter appendix, a bidding deposit receipt, an engineering quantity list pricing table, a bidding quotation description, a quotation table, a bidding document, an enterprise business license, a qualification certificate, and a safety production license, and the technical document may include a construction deployment, a construction site floor plan, a construction scheme, a construction technical measure, a construction organization and a construction progress plan, a construction machinery equipment allocation condition, a quality assurance measure, a safety construction measure, and a civilized construction measure.
In this embodiment, the engineering cost data includes a material purchase list, an equipment purchase list, and a staff payroll expense list.
In this embodiment, the construction progress data includes real-time construction progress data, staged construction progress data, and the like, the real-time construction progress data is the current construction progress of the engineering project, and the staged construction progress data is the construction progress of the engineering project within a certain time period.
Marking bidding data, engineering cost data and construction progress data respectively based on a data marking program, marking the engineering cost data as a first key factor set, marking the construction progress data as a second key factor set, marking the bidding data as a third key factor set, wherein the first key factor set comprises at least one first key factor, the second key factor set comprises at least one second key factor, and the third key factor set comprises at least one third key factor.
In this embodiment, referring to fig. 2, when marking the bidding data, the construction cost data and the construction progress data, the method may include the following steps:
respectively extracting characteristic values of the bidding data, the engineering cost data and the construction progress data, and respectively classifying the bidding data, the engineering cost data and the construction progress data according to the extracted characteristic values;
and setting the extracted characteristic value as a mark symbol, and respectively carrying out symbol marking on the bidding data, the engineering cost data and the construction progress data based on the mark symbol.
Specifically, in the present embodiment, the feature value extracted for the bidding document may be in the form of "bidding", and further, the document is classified as the bidding document according to the "bidding" character referred to in the document, and the "bidding" character is set as the mark symbol of the bidding document; the characteristic value extracted from the project cost data can be a 'cost' word, and then the file is classified as the project cost data according to the 'cost' word related in the file, and the 'cost' word is set as a mark symbol of the project cost data; similarly, the characteristic value extracted from the construction progress data may be a "progress" typeface, and further, the file is classified as the construction progress data according to the "progress" typeface related in the file, and the "progress" typeface is set as a mark symbol of the construction progress data; of course, according to the actual operation condition, other marking words can be adopted for bidding data, construction cost data and construction progress data, and the application is not limited.
Constructing a total process engineering consultation service weight function based on the first key factor set, the second key factor set and the third key factor set, wherein Z = a/A S1+b/B*S2+c/C*S3Wherein Z is the weighted value of the engineering consultation service, a is the value of at least one first key factor in the first key factor set, A is the total value of the first key factors in the first key factor set, and S1Is the weight coefficient of the first key factor, B is the value of at least one second key factor in the second key factor set, B is the total value of the second key factors in the second key factor set, S2Is the weight coefficient of the second key factor, C is the value of at least one third key factor in the third key factor set, C is the total value of the third key factors in the third key factor set, S3Is a weight coefficient of the third key factor.
The value of at least one first key factor in the first key factor set is at least one item of cost in the engineering cost, the total value of the first key factors in the first key factor set is the total cost of the engineering cost, the value of at least one second key factor in the second key factor set is at least one piece of construction progress data in the construction progress, the total value of the second key factors in the second key factor set is the total data of the construction progress, the value of at least one third key factor in the third key factor set is at least one piece of bidding cost in the bidding, and the total value of the third key factors in the third key factor set is the total cost of the bidding.
Wherein, for at least one first key factor value (a) in the first key factor set, the total value (A) of the first key factors in the first key factor set, and at least one second key factor value in the second key factor setThe value (B) of the key factor, the total value (B) of the second key factor in the second key factor set, the value (C) of at least one third key factor in the third key factor set, the total value (C) of the third key factor in the third key factor set and the like can be obtained by a correlation technique, and the weight coefficient (S) of the first key factor1) The weight coefficient (S) of the second key factor2) The weight coefficient (S) of the third key factor3) Can be obtained or set by statistical principles, and therefore, will not be described herein.
And obtaining an engineering counseling service weight value based on the constructed whole-process engineering counseling service weight function, and evaluating the engineering project to be counseled based on the obtained engineering counseling service weight value.
The engineering counseling service weight value can be obtained based on the constructed whole-process engineering counseling service weight function, then the engineering project to be counseled can be analyzed according to the obtained engineering counseling service weight value, and the engineering counseling service is evaluated according to the analysis result.
In this embodiment, before the client consults the whole process engineering project, a consultation request matching step may be further included, and specifically, referring to fig. 3, the consultation request matching step may include:
generating a consultation service request based on the client consultation intention, and acquiring a keyword comparison character string according to the consultation service request;
presetting a keyword database, matching the similarity of the acquired keyword comparison character string with the keyword character string in the preset keyword database, and taking the successfully matched keyword character string as a matched keyword;
and performing correlation search in a preset consultation database based on the matched keywords to obtain corresponding consultation contents.
Specifically, in this embodiment, referring to fig. 4, the step of acquiring the matching keyword may include:
and based on the character string comparison program, carrying out similarity comparison on the acquired keyword comparison character string and at least one keyword character string in a preset keyword database, and taking the keyword character string with the highest similarity comparison as a matching keyword.
More specifically, in this embodiment, the step of acquiring the matching keyword may be subdivided into:
acquiring the length of the keyword comparison character string;
calculating the keyword comparison character strings by adopting a naive algorithm and/or a similarity algorithm according to the lengths of the keyword comparison character strings to obtain the similarity corresponding to each keyword character string; and
and taking the keyword character string with the highest similarity as the matching keyword.
In this embodiment, when the obtained keyword string cannot be matched with the keyword string in the preset keyword database or the matching is unsuccessful, the generated consultation service request is automatically converted into manual consultation service, so that the condition that the waiting time of the client is too long and the consultation experience is affected can be avoided.
The implementation principle of the overall process engineering consultation service evaluation method in the embodiment of the application is as follows: integrating bidding data, engineering cost data and construction progress data, marking the data according to a data marking program to enable the engineering cost data to form a first key factor set, the construction progress data to form a second key factor set, the bidding data to form a third key factor set, calculating an engineering consultation service weight value according to a constructed whole-process engineering consultation service weight function, and further evaluating an engineering project to be consulted according to the obtained engineering consultation service weight value; compared with the prior art that manual engineering consultation is adopted, the service efficiency of the whole engineering process can be greatly improved.
The embodiment of the application discloses a whole-process engineering consultation service evaluation system, which comprises a memory, a processor and a computer program, wherein the computer program is stored in the memory and can run on the processor, and the method of the embodiment is executed when the processor loads the computer program.
In this embodiment, the whole process engineering consultation service evaluation system may be implemented in a computer device, the computer device may be a desktop computer, a notebook computer, a cloud server, or the like, the computer device includes but is not limited to a processor and a memory, and for example, the computer device may further include an input/output device, a network access device, a bus, and the like.
The processor may be a Central Processing Unit (CPU), and of course, according to an actual use situation, other general processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and the like may also be used, and the general processor may be a microprocessor or any conventional processor, and the present application does not limit the present invention.
The memory may be an internal storage unit of the computer device, for example, a hard disk or a memory of the computer device, or an external storage device of the computer device, for example, a plug-in hard disk, a Smart Memory Card (SMC), a secure digital card (SD) or a flash memory card (FC) equipped on the computer device, or a combination of the internal storage unit of the computer device and the external storage device, and the memory is used for storing a computer program and other programs and data required by the computer device, and may also be used for temporarily storing data that has been output or will be output, which is not limited in this application.
The system stores the whole process engineering consultation service evaluation method of the embodiment in a memory of the computer equipment, and is loaded and executed on a processor of the computer equipment so as to be convenient for a user to use.
The embodiment of the application discloses a computer readable storage medium, and a computer program is stored in the computer readable storage medium, wherein when the computer program is loaded by a processor, the whole process engineering consultation service evaluation method is executed.
The computer program may be stored in a computer readable medium, the computer program includes computer program code, the computer program code may be in a source code form, an object code form, an executable file or some intermediate form, and the like, the computer readable medium includes any entity or device capable of carrying the computer program code, a recording medium, a usb disk, a removable hard disk, a magnetic disk, an optical disk, a computer memory, a Read Only Memory (ROM), a Random Access Memory (RAM), an electrical carrier signal, a telecommunication signal, a software distribution medium, and the like, and the computer readable medium includes but is not limited to the above components.
The whole process engineering consultation service evaluation method of the embodiment is stored in the computer readable storage medium through the computer readable storage medium, and is loaded and executed on the processor, so that the whole process engineering consultation service evaluation method can be conveniently stored and applied.
The foregoing is a preferred embodiment of the present application and is not intended to limit the scope of the application in any way, and any features disclosed in this specification (including the abstract and drawings) may be replaced by alternative features serving equivalent or similar purposes, unless expressly stated otherwise. That is, unless expressly stated otherwise, each feature is only an example of a generic series of equivalent or similar features.
Claims (8)
1. A whole process engineering consultation service evaluation method is characterized by comprising the following steps:
integrating relevant data of engineering consultation in the whole process, and uploading the relevant data to a computer, wherein the relevant data comprises bidding data, engineering cost data and construction progress data;
marking bidding data, engineering cost data and construction progress data respectively based on a data marking program, marking the engineering cost data as a first key factor set, marking the construction progress data as a second key factor set, marking the bidding data as a third key factor set, wherein the first key factor set comprises at least one first key factor, the second key factor set comprises at least one second key factor, and the third key factor set comprises at least one third key factor;
constructing a total process engineering consultation service weight function based on the first key factor set, the second key factor set and the third key factor set, wherein Z = a/A S1+b/B*S2+c/C*S3Wherein Z is the weighted value of the engineering consultation service, a is the value of at least one first key factor in the first key factor set, A is the total value of the first key factors in the first key factor set, and S1Is the weight coefficient of the first key factor, B is the value of at least one second key factor in the second key factor set, B is the total value of the second key factors in the second key factor set, S2Is the weight coefficient of the second key factor, C is the value of at least one third key factor in the third key factor set, C is the total value of the third key factors in the third key factor set, S3A weight coefficient being a third key factor;
and obtaining an engineering counseling service weight value based on the constructed whole-process engineering counseling service weight function, and evaluating the engineering project to be counseled based on the obtained engineering counseling service weight value.
2. The overall process engineering consultation service evaluation method of claim 1, comprising a consultation request matching step before a client consults an overall process engineering project, said consultation request matching step comprising:
generating a consultation service request based on the client consultation intention, and acquiring a keyword comparison character string according to the consultation service request;
presetting a keyword database, matching the similarity of the acquired keyword comparison character string with the keyword character string in the preset keyword database, and taking the successfully matched keyword character string as a matched keyword;
and performing correlation search in a preset consultation database based on the matched keywords to obtain corresponding consultation contents.
3. The overall process engineering counseling service evaluation method as claimed in claim 2, wherein the step of obtaining the matching keyword comprises:
and based on the character string comparison program, carrying out similarity comparison on the acquired keyword comparison character string and at least one keyword character string in a preset keyword database, and taking the keyword character string with the highest similarity comparison as a matching keyword.
4. The method as claimed in claim 2, wherein when the keyword string is not matched with the keyword string in the predetermined keyword database, the generated counseling service request is automatically converted into manual counseling service.
5. The method as claimed in claim 1, wherein the marking of the bidding, construction cost and construction progress data comprises:
respectively extracting characteristic values of the bidding data, the engineering cost data and the construction progress data, and respectively classifying the bidding data, the engineering cost data and the construction progress data according to the extracted characteristic values;
and setting the extracted characteristic value as a mark symbol, and respectively carrying out symbol marking on the bidding data, the engineering cost data and the construction progress data based on the mark symbol.
6. The overall process engineering consultative service evaluation method of claim 1, wherein the bidding data includes bidding documents and technical documents, the engineering cost data includes material and equipment purchase lists and staff payroll expense lists, and the construction progress data includes real-time construction progress data and staged construction progress data.
7. A full process engineering advisory services evaluation system comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor, when loaded with the computer program, performs the method of any one of claims 1 to 6.
8. A computer-readable storage medium, in which a computer program is stored which, when being loaded by a processor, is adapted to carry out the method of any one of claims 1-6.
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| CN117333202A (en) * | 2023-09-28 | 2024-01-02 | 广州肖宁道路工程技术研究事务所有限公司 | Pavement construction technology consultation service method and system and electronic equipment |
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