CN117271618A - Engineering information digital consultation management system and method based on Internet of things - Google Patents
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Abstract
The invention relates to the technical field of the Internet of things, in particular to an engineering information digital consultation management system and method based on the Internet of things.
Description
Technical Field
The invention relates to the technical field of the Internet of things, in particular to an engineering information digital consultation management system and method based on the Internet of things.
Background
Along with the development of knowledge economy, the value of enterprises is more reflected on the grasping, application and innovation ability of the enterprises, and especially for a typical knowledge-intensive enterprise such as a construction engineering consultation enterprise, the knowledge is both a raw material and a result product, all business processes and working links are all developed around the knowledge, so to speak, the knowledge asset is a core asset of the engineering consultation enterprise, and the knowledge management and service ability directly influences the competitiveness of the enterprise.
At present, in the process of carrying out business development, a service party of engineering consultation under a traditional management mode lacks professional knowledge support of a system aiming at consultation needs to be provided for different fields and different types of engineering consultation, and in the actual business development process, a technical service personnel of the engineering consultation provider needs to consume a large amount of manpower resources to carry out professional knowledge data retrieval and classification arrangement when facing a large amount of consultation businesses, and cannot carry out real-time matching corresponding schemes according to the requirements of the consultation personnel, so that insufficient early preparation is easily caused to influence the experience of a demander.
Disclosure of Invention
The invention aims to provide an engineering information digital consultation management system and method based on the Internet of things, which are used for solving the problems in the background technology, and the invention provides the following technical scheme:
an engineering information digital consultation management method based on the Internet of things comprises the following steps:
s1, acquiring a user demand list in a region to be monitored, extracting characteristic information in the user demand list, and preprocessing the extracted characteristic information;
s2, screening cooperators meeting the user requirements based on the preprocessing result aiming at the extracted characteristic information in the S1 by combining the preprocessing result, generating a combination scheme according to the engineering project flow, and generating a scheme priority sequence meeting the user requirements by analyzing the comprehensive analysis value of the combination scheme;
s3, acquiring a priority sequence of a scheme meeting the requirement of a user, selecting elements in the priority sequence as a pre-recommended scheme of a corresponding user in the area to be monitored, and judging scheme rationality by mapping corresponding comprehensive analysis values in each flow link in the pre-recommended scheme into a plane rectangular coordinate system;
and S4, judging whether the rationality of the scheme meets the standard or not in real time based on the analysis result in the S3, sending out an early warning signal in combination with the judgment result, and calibrating the demand scheme configured by the corresponding user in the area to be monitored in real time according to the early warning signal.
Further, the method in S1 includes the following steps:
step 1001, obtaining a user demand list in a region to be monitored, extracting a key feature information set in the user demand list, and recording the key feature information set as a set A, wherein the key feature information set comprises the total quality of a current engineering project, the total budget of the engineering project and the total construction period of the engineering project,
A＝(A 1 ，A 2 ，A 3 ，...，A n )，
wherein A is n Representing a key characteristic information set in a corresponding requirement list of an nth user in the area to be monitored, wherein n represents the number of users in the area to be monitored;
step 1002, analyzing the key feature information set in the n-th user corresponding requirement list to obtain a set A n The element of the group consisting of the elements,
wherein the method comprises the steps ofRepresenting the first element in the key characteristic information set corresponding to the nth user, representing the total quality requirement condition of the user aiming at the current engineering project,
representing the second element in the key characteristic information set corresponding to the nth user, representing the total budget requirement condition of the user aiming at the current engineering project,
and representing the third element in the key characteristic information set corresponding to the nth user, and representing the total construction period requirement condition of the user for the current engineering project.
According to the invention, the user demand list in the area to be monitored is obtained, key characteristic information in the user demand list is extracted, one user is arbitrarily extracted as an analysis object, and data reference is provided for the subsequent pairing optimal scheme aiming at the current user.
Further, the method in S2 includes the following steps:
step 2001, obtaining the whole flow scheme of the corresponding engineering project in the area to be monitored, summarizing the cooperators involved in the corresponding flow links, and recording as a set C,
C＝(C 1 ，C 2 ，C 3 ，...，C i )，
wherein C is j Representing a cooperator involved in the ith flow link in the current engineering project, wherein i represents the number of the flow links in the current engineering project;
step 2002, acquiring a key feature information set in the requirement list corresponding to the nth user in step 1002, and performing comprehensive analysis value sequencing of corresponding links by combining the key feature information set, wherein in the ith flow link in the engineering project, key feature information in the requirement list corresponding to the nth user is usedThe elements in the interest set are used as references to generate a scheme matrix meeting the requirements, and the scheme matrix is recorded as a matrix Y i ，
Wherein alpha is 1 、α 2 And alpha 3 The weight ratio is represented, the weight ratio is a preset value of a database,expressed as +.>For key feature elements to be conditional values, the a-th accords with the partner of the n-th user,
expressed as +.>For the key feature element to be a conditional value, the b-th accords with the partner of the n-th user,
expressed as +.>For the key feature element to be a conditional value, the c-th accords with the partner of the nth user,
a representsThe key characteristic elements are taken as condition values, the number of cooperators of the nth user is met,
b representsAs a bar for key feature elementsThe piece value accords with the number of the cooperators of the nth user,
c representsThe key characteristic elements are used as condition values, and the number of cooperators of the nth user is met;
step 2003, combining the analysis results of step 2002, in matrix Y i The elements of the first column, the second column and the third column are arbitrarily combined to generate corresponding combination schemes, which are marked as a set D,
D＝(d 1 ，d 2 ，d 3 ，...，d p )，
wherein d is p Represents the p-th combination scheme, p represents the number of combination schemes,
representation matrix Y i The u-th element in the first column, < ->Representation matrix Y i V-th element in the second column, < ->Representation matrix Y i W-th element in the third column, u.epsilon.1, a]，v∈[1，b]，w∈[1，c]，
Step 2004, combining the analysis results in step 2003, and combining the ith procedure in the engineering project with the ith procedure p The comprehensive analysis value corresponding to the seed combination scheme is recorded as
Step 2005, circulation step 2002 and step 2004 obtain comprehensive analysis values corresponding to different combination schemes in each flow link in the engineering project, sequentially sequencing the comprehensive analysis values of the corresponding combination schemes in the corresponding flow links in the engineering project from small to large, generating a scheme priority sequence meeting the nth user requirement, and marking the scheme priority sequence as a sequence G n ，
Wherein the method comprises the steps ofThe j-th scheme meeting the n-th user requirement is represented, and the j-th scheme meeting the n-th user requirement is represented.
According to the method, the whole flow scheme of the corresponding engineering project in the area to be monitored is obtained, the cooperators involved in the corresponding flow links are induced, the schemes meeting the current user requirements are listed in combination with the current user requirements, the corresponding schemes of the flow links of the engineering project are combined, the corresponding comprehensive analysis value is calculated in combination with the combination result, and data reference is provided for the follow-up screening of the schemes meeting the current user requirements.
Further, the method in S3 includes the following steps:
step 3001, obtain sequence G n The first element of the project is used as a scheme meeting the requirement of the nth user, a point o is used as an origin, an engineering project flow link is used as an x axis, a comprehensive analysis value is used as a y axis, a first plane rectangular coordinate system is constructed, and the scheme is arranged in the first plane rectangular coordinate systemMarking corresponding coordinate points of the comprehensive analysis values of all links, sequentially connecting two adjacent coordinate points, generating a fitting curve, and marking as N1 (x);
step 3002, obtaining standard comprehensive analysis values of all links under corresponding schemes in corresponding engineering projects through historical data, mapping the standard comprehensive analysis values of all links into a first plane rectangular coordinate system, and generating a standard fitting curve which is marked as N2 (x);
step 3003, combining the analysis result calculation schemes in step 3001 and step 3002Is recorded as the rationality of
Where E { } represents the judgment function.
According to the method, the rationality of the current scheme is judged by mapping the analysis values corresponding to each flow link in the scheme adopted by the current user into the plane rectangular coordinate system and combining the standard analysis values, and data reference is provided for judging whether the rationality of the current scheme meets the standard or not.
Further, the method in S4 includes the following steps:
step 4001, in combination with the analysis result in step 3003, determines whether the currently set recipe meets the standard,
when (when)When the calculated result of (c) is within the preset interval,
then The rationality judgment result reaches the standard,
when (when)When the calculated result of (2) is not within the preset interval，
Then The rationality judgment result does not reach the standard, and an early warning signal is sent;
step 4002, combining the analysis result in step 4001 to calibrate the demand scheme configured by the user in the area to be monitored in real time, and eliminating the sequence G when the scheme matched by the corresponding user does not reach the standard n And taking a subsequent scheme of the current scheme as a requirement scheme of a corresponding user in the area to be monitored, and recommending the first element in the priority sequence to the user in the area to be monitored as a recommended scheme if the rationality calculation results of the schemes do not reach the standard.
According to the method, whether the rationality corresponding to the current scheme meets the standard is judged, and the early warning signal is generated by combining the judging result, so that the requirement scheme of the current user is calibrated in real time according to the early warning signal.
Engineering information digital consultation management system based on the Internet of things, wherein the system comprises the following steps:
the data information preprocessing module is used for: the data information preprocessing module is used for acquiring user demand information in the area to be monitored, extracting characteristic information in a user demand list and preprocessing the extracted characteristic information;
the demand scheme matching module: the demand scheme matching module is used for analyzing and configuring each link scheme of the project by combining key characteristic information of the user demand list and generating a priority sequence of the project design scheme meeting the user demand;
scheme rationality judging module: the scheme rationality judging module is used for acquiring a priority sequence of the engineering design scheme meeting the user requirements, screening the scheme meeting the corresponding user requirements by combining the priority sequence, and judging scheme rationality according to the screening result;
and a rationality judging and calibrating module: the rationality judging and calibrating module is used for judging whether the rationality of the scheme meets the standard or not in real time based on the analysis result in the scheme rationality judging module, sending out an early warning signal in combination with the judgment result, and carrying out real-time calibration on the demand scheme configured by the corresponding user in the area to be monitored in real time according to the early warning signal.
Further, the data information preprocessing module includes a data acquisition unit and a data classification unit:
the data acquisition unit is used for acquiring a user demand list in the area to be monitored in real time, extracting key characteristic information in the user demand list, and recording the extracted data into the set;
the data classifying unit is used for combining the analysis results in the data obtaining unit and combining key characteristic information in the current user demand list to carry out induction.
Further, the demand scheme matching module comprises a project engineering information acquisition unit, a scheme listing unit, a comprehensive analysis value calculation unit and a scheme priority sequence generation unit:
the project engineering information acquisition unit is used for acquiring the whole flow scheme of the corresponding project in the region to be monitored and inducing the related cooperators in the corresponding flow links;
the scheme listing unit is used for listing schemes meeting the user demands by combining the analysis results of the project engineering information acquisition unit and the key characteristic information in the current user demand list;
the comprehensive analysis value calculation unit is used for combining the schemes in the scheme listing unit and calculating comprehensive analysis values corresponding to different combinations;
the scheme priority sequence generating unit is used for extracting the operation results in the comprehensive analysis value calculating unit, and sequencing the operation results from small to large to generate a scheme priority sequence.
Further, the scheme rationality judging module comprises a two-dimensional angle analyzing unit and a rationality calculating unit:
the two-dimensional angle analysis unit is used for extracting elements in the scheme priority sequence as a requirement scheme of a current user, and mapping analysis values corresponding to corresponding engineering project flow links in the scheme into a plane rectangular coordinate system;
the rationality calculating unit is used for calculating the rationality of the demand scheme adopted by the current user by combining the analysis result of the two-dimensional angle analysis unit.
Further, the rationality judging and calibrating module comprises a rationality judging unit, an internet of things platform analyzing unit and a scheme calibrating unit:
the rationality judging unit is used for judging whether the currently set scheme meets the standard or not based on the analysis result of the rationality calculating unit;
the internet of things platform analysis unit is used for judging whether the rationality operation result is in a preset interval according to the analysis result of the rationality judgment unit, and generating an early warning signal according to the judgment result;
the scheme calibration unit is used for calibrating a currently used demand scheme in real time by combining an analysis result of the internet of things platform analysis unit.
According to the invention, the corresponding key characteristic data in the user demand information is extracted, the scheme combination is carried out on each flow environment of the current engineering project, the combined scheme is analyzed, the priority sequence of the combined scheme is generated based on the key characteristic data, and the rationality of the combined scheme in the sequence is judged, so that the time is saved, and a set of scheme meeting the user demand is effectively generated.
Drawings
FIG. 1 is a schematic flow chart of an engineering information digital consultation management method based on the Internet of things;
fig. 2 is a schematic diagram of a module of the engineering information digital consultation management system based on the internet of things.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1: referring to fig. 1, in this embodiment:
an engineering information digital consultation management method based on the Internet of things comprises the following steps:
s1, acquiring a user demand list in a region to be monitored, extracting characteristic information in the user demand list, and preprocessing the extracted characteristic information;
the method in S1 comprises the following steps:
step 1001, obtaining a user demand list in a region to be monitored, extracting a key feature information set in the user demand list, and recording the key feature information set as a set A, wherein the key feature information set comprises the total quality of a current engineering project, the total budget of the engineering project and the total construction period of the engineering project,
A＝(A 1 ，A 2 ，A 3 ，...，A n )，
wherein A is n Representing a key characteristic information set in a corresponding requirement list of an nth user in the area to be monitored, wherein n represents the number of users in the area to be monitored;
step 1002, analyzing the key feature information set in the n-th user corresponding requirement list to obtain a set A n The element of the group consisting of the elements,
wherein the method comprises the steps ofRepresenting the first element in the key characteristic information set corresponding to the nth user, representing the total quality requirement condition of the user aiming at the current engineering project,
representing the n-th user corresponding key feature informationThe second element is concentrated to represent the total budget requirement situation of the user for the current engineering project,
and representing the third element in the key characteristic information set corresponding to the nth user, and representing the total construction period requirement condition of the user for the current engineering project.
S2, screening cooperators meeting the user requirements based on the preprocessing result aiming at the extracted characteristic information in the S1 by combining the preprocessing result, generating a combination scheme according to the engineering project flow, and generating a scheme priority sequence meeting the user requirements by analyzing the comprehensive analysis value of the combination scheme;
the method in S2 comprises the steps of:
step 2001, obtaining the whole flow scheme of the corresponding engineering project in the area to be monitored, summarizing the cooperators involved in the corresponding flow links, and recording as a set C,
C＝(C 1 ，C 2 ，C 3 ，...，C i )，
wherein C is i Representing a cooperator involved in the ith flow link in the current engineering project, wherein i represents the number of the flow links in the current engineering project;
step 2002, acquiring a key feature information set in an nth user corresponding demand list in step 1002, and performing comprehensive analysis value sequencing of corresponding links by combining the key feature information set, wherein in an ith flow link in an engineering project, a scheme matrix meeting the demand is generated by taking elements in the key feature information set in the nth user corresponding demand list as references, and is recorded as a matrix Y i ，
Wherein alpha is 1 、α 2 And alpha 3 The weight ratio is represented, the weight ratio is a preset value of a database,expressed as +.>For key feature elements to be conditional values, the a-th accords with the partner of the n-th user,
expressed as +.>For the key feature element to be a conditional value, the b-th accords with the partner of the n-th user,
expressed as +.>For the key feature element to be a conditional value, the c-th accords with the partner of the nth user,
a representsThe key characteristic elements are taken as condition values, the number of cooperators of the nth user is met,
b representsThe key characteristic elements are taken as condition values, the number of cooperators of the nth user is met,
c representsThe key characteristic elements are used as condition values, and the number of cooperators of the nth user is met;
step 2003, combining the analysis results of step 2002, in matrix Y i The elements of the first column, the second column and the third column are arbitrarily combined to generate corresponding combinationsThe scheme, denoted as set D,
D＝(d 1 ，d 2 ，d 3 ，...，d p )，
wherein d is p Represents the p-th combination scheme, p represents the number of combination schemes,
representation matrix Y i The u-th element in the first column, < ->Representation matrix Y i V-th element in the second column, < ->Representation matrix Y i W-th element in the third column, u.epsilon.1, a]，v∈[1，b]，w∈[1，c]，
Step 2004, combining the analysis results in step 2003, and combining the ith procedure in the engineering project with the ith procedure p The comprehensive analysis value corresponding to the seed combination scheme is recorded as
Step 2005, circulation step 2002 and step 2004 obtain comprehensive analysis values corresponding to different combination schemes in each flow link in the engineering project, sequentially sequencing the comprehensive analysis values of the corresponding combination schemes in the corresponding flow links in the engineering project from small to large, generating a scheme priority sequence meeting the nth user requirement, and marking the scheme priority sequence as a sequence G n ，
Wherein the method comprises the steps ofThe j-th scheme meeting the n-th user requirement is represented, and the j-th scheme meeting the n-th user requirement is represented.
S3, acquiring a priority sequence of a scheme meeting the requirement of a user, selecting elements in the priority sequence as a pre-recommended scheme of a corresponding user in the area to be monitored, and judging scheme rationality by mapping corresponding comprehensive analysis values in each flow link in the pre-recommended scheme into a plane rectangular coordinate system;
the method in S3 comprises the following steps:
step 3001, obtain sequence G n The first element of the project is used as a scheme meeting the requirement of the nth user, a point o is used as an origin, an engineering project flow link is used as an x axis, a comprehensive analysis value is used as a y axis, a first plane rectangular coordinate system is constructed, and the scheme is arranged in the first plane rectangular coordinate systemMarking corresponding coordinate points of the comprehensive analysis values of all links, sequentially connecting two adjacent coordinate points, generating a fitting curve, and marking as N1 (x);
step 3002, obtaining standard comprehensive analysis values of all links under corresponding schemes in corresponding engineering projects through historical data, mapping the standard comprehensive analysis values of all links into a first plane rectangular coordinate system, and generating a standard fitting curve which is marked as N2 (x);
step 3003, combining the analysis result calculation schemes in step 3001 and step 3002Is recorded as the rationality of
Where E { } represents the judgment function.
And S4, judging whether the rationality of the scheme meets the standard or not in real time based on the analysis result in the S3, sending out an early warning signal in combination with the judgment result, and calibrating the demand scheme configured by the corresponding user in the area to be monitored in real time according to the early warning signal.
The method in S4 includes the steps of:
step 4001, in combination with the analysis result in step 3003, determines whether the currently set recipe meets the standard,
when (when)When the calculated result of (c) is within the preset interval,
then The rationality judgment result reaches the standard,
when (when)When the calculated result of (c) is not within the preset interval,
then The rationality judgment result does not reach the standard, and an early warning signal is sent;
step 4002, combining the analysis result in step 4001 to calibrate the demand scheme configured by the user in the area to be monitored in real time, and eliminating the sequence G when the scheme matched by the corresponding user does not reach the standard n And adopts the following scheme of the current scheme as the region to be monitoredAnd if the result of the scheme rationality calculation does not reach the standard, recommending the first element in the priority sequence to the inner user in the area to be monitored as a recommended scheme.
In this embodiment: the system is used for realizing the specific scheme content of the method.
Example 2: setting a user demand characteristic information set a in a region to be monitored, aiming at the project total budget of 10W, project total construction period of 60 days, project total quality of 75%,
setting 3 flow links in the current engineering project, wherein the 1 st flow link relates to 2 cooperators, the 2 nd flow link relates to 2 cooperators,
generating a plan matrix Y based on user requirements a ，
Matrix Y of schemes a The elements are combined to generate a combination scheme to obtain a combination scheme set meeting the requirements of the a-th user, which is marked as F a ，
F a ＝[Z 1 ，Z 2 ，Z 3 ，Z 4 ，Z 5 ，Z 6 ]，
Wherein the method comprises the steps of
The corresponding comprehensive analysis values of various combination schemes are obtained through calculation and recorded as a set G a ，
The collection G is aligned in the order of the comprehensive analysis value from small to large a The method comprises the steps of sequencing the elements in the list, generating a scheme priority sequence, taking a scheme corresponding to a first element in the priority sequence as an a-th user pre-recommended scheme, obtaining a current selected scheme in a preset interval through rationality analysis, and confirming the current scheme as a requirement scheme of the a-th user.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The engineering information digital consultation management method based on the Internet of things is characterized by comprising the following steps of:
s1, acquiring a user demand list in a region to be monitored, extracting characteristic information in the user demand list, and preprocessing the extracted characteristic information;
s2, screening cooperators meeting the user requirements based on the preprocessing result aiming at the extracted characteristic information in the S1 by combining the preprocessing result, generating a combination scheme according to the engineering project flow, and generating a scheme priority sequence meeting the user requirements by analyzing the comprehensive analysis value of the combination scheme;
s3, acquiring a priority sequence of a scheme meeting the requirement of a user, selecting elements in the priority sequence as a pre-recommended scheme of a corresponding user in the area to be monitored, and judging scheme rationality by mapping corresponding comprehensive analysis values in each flow link in the pre-recommended scheme into a plane rectangular coordinate system;
and S4, judging whether the rationality of the scheme meets the standard or not in real time based on the analysis result in the S3, sending out an early warning signal in combination with the judgment result, and calibrating the demand scheme configured by the corresponding user in the area to be monitored in real time according to the early warning signal.
2. The engineering information digital consultation management method based on the internet of things according to claim 1, wherein the method in S1 includes the following steps:
step 1001, obtaining a user demand list in a region to be monitored, extracting a key feature information set in the user demand list, and recording the key feature information set as a set A, wherein the key feature information set comprises the total quality of a current engineering project, the total budget of the engineering project and the total construction period of the engineering project,
A＝(A 1 ，A 2 ，A 3 ，…，A n )，
wherein A is n Representing a key characteristic information set in a corresponding requirement list of an nth user in the area to be monitored, wherein n represents the number of users in the area to be monitored;
step 1002, analyzing the key feature information set in the n-th user corresponding requirement list to obtain a set A n The element of the group consisting of the elements,
wherein the method comprises the steps ofRepresenting the first element in the key characteristic information set corresponding to the nth user, representing the total quality requirement condition of the user aiming at the current engineering project,
representing the second element in the key characteristic information set corresponding to the nth user, representing the total budget requirement condition of the user aiming at the current engineering project,
representation ofAnd the nth user corresponds to a third element in the key characteristic information set, and represents the total construction period requirement condition of the user for the current engineering project.
3. The engineering information digital consultation management method based on the internet of things according to claim 2, wherein the method in S2 includes the following steps:
step 2001, obtaining the whole flow scheme of the corresponding engineering project in the area to be monitored, summarizing the cooperators involved in the corresponding flow links, and recording as a set C,
C＝(C 1 ，C 2 ，C 3 ，…，C i )，
wherein C is i Representing a cooperator involved in the ith flow link in the current engineering project, wherein i represents the number of the flow links in the current engineering project;
step 2002, acquiring a key feature information set in an nth user corresponding demand list in step 1002, and performing comprehensive analysis value sequencing of corresponding links by combining the key feature information set, wherein in an ith flow link in an engineering project, a scheme matrix meeting the demand is generated by taking elements in the key feature information set in the nth user corresponding demand list as references, and is recorded as a matrix Y i ，
Wherein alpha is 1 、α 2 And alpha 3 The weight ratio is represented, the weight ratio is a preset value of a database,expressed as +.>For key feature elements to be conditional values, the a-th accords with the partner of the n-th user,
expressed as +.>For the key feature element to be a conditional value, the b-th accords with the partner of the n-th user,
expressed as +.>For the key feature element to be a conditional value, the c-th accords with the partner of the nth user,
a representsThe key characteristic elements are taken as condition values, the number of cooperators of the nth user is met,
b representsThe key characteristic elements are taken as condition values, the number of cooperators of the nth user is met,
c representsThe key characteristic elements are used as condition values, and the number of cooperators of the nth user is met;
step 2003, combining the analysis results of step 2002, in matrix Y i The elements of the first column, the second column and the third column are arbitrarily combined to generate corresponding combination schemes, which are marked as a set D,
D＝(d 1 ，d 2 ，d 3 ，…，d p )，
wherein d is p Represents the p-th combination scheme, p represents the number of combination schemes,
representation matrix Y i The u-th element in the first column, < ->Representation matrix Y i V-th element in the second column, < ->Representation matrix Y i W-th element in the third column, u.epsilon.1, a]，v∈[1，b]，w∈[1，c]，
Step 2004, combining the analysis results in step 2003, and combining the ith procedure in the engineering project with the ith procedure p The comprehensive analysis value corresponding to the seed combination scheme is recorded as
Step 2005, circulation step 2002 and step 2004 obtain comprehensive analysis values corresponding to different combination schemes in each flow link in the engineering project, sequentially sequencing the comprehensive analysis values of the corresponding combination schemes in the corresponding flow links in the engineering project from small to large, generating a scheme priority sequence meeting the nth user requirement, and marking the scheme priority sequence as a sequence G n ，
Wherein the method comprises the steps ofThe j-th scheme meeting the n-th user requirement is represented, and the j-th scheme meeting the n-th user requirement is represented.
4. The engineering information digital consultation management method based on the internet of things according to claim 3, wherein the method in S3 includes the following steps:
step 3001, obtain sequence G n The first element of the project is used as a scheme meeting the requirement of the nth user, a point o is used as an origin, an engineering project flow link is used as an x axis, a comprehensive analysis value is used as a y axis, a first plane rectangular coordinate system is constructed, and the scheme is arranged in the first plane rectangular coordinate systemMarking corresponding coordinate points of the comprehensive analysis values of all links, sequentially connecting two adjacent coordinate points, generating a fitting curve, and marking as N1 (x);
step 3002, obtaining standard comprehensive analysis values of all links under corresponding schemes in corresponding engineering projects through historical data, mapping the standard comprehensive analysis values of all links into a first plane rectangular coordinate system, and generating a standard fitting curve which is marked as N2 (x);
step 3003, combining the analysis result calculation schemes in step 3001 and step 3002Is recorded as the rationality of
Where E { } represents the judgment function.
5. The engineering information digital consultation management method based on the internet of things according to claim 4, wherein the method in S4 includes the following steps:
step 4001, in combination with the analysis result in step 3003, determines whether the currently set recipe meets the standard,
when (when)When the calculated result of (c) is within the preset interval,
thenThe rationality judgment result reaches the standard,
when (when)When the calculated result of (c) is not within the preset interval,
thenThe rationality judgment result does not reach the standard, and an early warning signal is sent;
step 4002, combining the analysis result in step 4001 to calibrate the demand scheme configured by the user in the area to be monitored in real time, and eliminating the sequence G when the scheme matched by the corresponding user does not reach the standard n And taking a subsequent scheme of the current scheme as a requirement scheme of a corresponding user in the area to be monitored, and recommending the first element in the priority sequence to the user in the area to be monitored as a recommended scheme if the rationality calculation results of the schemes do not reach the standard.
6. Engineering information digital consultation management system based on the Internet of things is characterized by comprising the following steps:
the data information preprocessing module is used for: the data information preprocessing module is used for acquiring user demand information in the area to be monitored, extracting characteristic information in a user demand list and preprocessing the extracted characteristic information;
the demand scheme matching module: the demand scheme matching module is used for analyzing and configuring each link scheme of the project by combining key characteristic information of the user demand list and generating a priority sequence of the project design scheme meeting the user demand;
scheme rationality judging module: the scheme rationality judging module is used for acquiring a priority sequence of the engineering design scheme meeting the user requirements, screening the scheme meeting the corresponding user requirements by combining the priority sequence, and judging scheme rationality according to the screening result;
and a rationality judging and calibrating module: the rationality judging and calibrating module is used for judging whether the rationality of the scheme meets the standard or not in real time based on the analysis result in the scheme rationality judging module, sending out an early warning signal in combination with the judgment result, and carrying out real-time calibration on the demand scheme configured by the corresponding user in the area to be monitored in real time according to the early warning signal.
7. The engineering information digital consultation management system based on the internet of things according to claim 6, wherein the data information preprocessing module includes a data obtaining unit and a data classifying unit:
the data acquisition unit is used for acquiring a user demand list in the area to be monitored in real time, extracting key characteristic information in the user demand list, and recording the extracted data into the set;
the data classifying unit is used for combining the analysis results in the data obtaining unit and combining key characteristic information in the current user demand list to carry out induction.
8. The engineering information digital consultation management system based on the internet of things according to claim 7, wherein the requirement scheme matching module includes a project engineering information obtaining unit, a scheme listing unit, a comprehensive analysis value calculating unit and a scheme priority sequence generating unit:
the project engineering information acquisition unit is used for acquiring the whole flow scheme of the corresponding project in the region to be monitored and inducing the related cooperators in the corresponding flow links;
the scheme listing unit is used for listing schemes meeting the user demands by combining the analysis results of the project engineering information acquisition unit and the key characteristic information in the current user demand list;
the comprehensive analysis value calculation unit is used for combining the schemes in the scheme listing unit and calculating comprehensive analysis values corresponding to different combinations;
the scheme priority sequence generating unit is used for extracting the operation results in the comprehensive analysis value calculating unit, and sequencing the operation results from small to large to generate a scheme priority sequence.
9. The engineering information digital consultation management system based on the internet of things according to claim 8, wherein the scheme rationality judging module comprises a two-dimensional angle analyzing unit and a rationality calculating unit:
the two-dimensional angle analysis unit is used for extracting elements in the scheme priority sequence as a requirement scheme of a current user, and mapping analysis values corresponding to corresponding engineering project flow links in the scheme into a plane rectangular coordinate system;
the rationality calculating unit is used for calculating the rationality of the demand scheme adopted by the current user by combining the analysis result of the two-dimensional angle analysis unit.
10. The engineering information digital consultation management system based on the internet of things according to claim 9, wherein the rationality judging and calibrating module comprises a rationality judging unit, an internet of things platform analyzing unit and a scheme calibrating unit:
the rationality judging unit is used for judging whether the currently set scheme meets the standard or not based on the analysis result of the rationality calculating unit;
the internet of things platform analysis unit is used for judging whether the rationality operation result is in a preset interval according to the analysis result of the rationality judgment unit, and generating an early warning signal according to the judgment result;
the scheme calibration unit is used for calibrating a currently used demand scheme in real time by combining an analysis result of the internet of things platform analysis unit.
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| CN117649249B (en) * | 2024-01-30 | 2024-04-26 | 湖南郭记农业科技股份有限公司 | Food production traceability management method and system based on block chain |
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