CN110276464A - A kind of environmental protection technology service consultation management system Internet-based - Google Patents

A kind of environmental protection technology service consultation management system Internet-based Download PDF

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CN110276464A
CN110276464A CN201910543537.5A CN201910543537A CN110276464A CN 110276464 A CN110276464 A CN 110276464A CN 201910543537 A CN201910543537 A CN 201910543537A CN 110276464 A CN110276464 A CN 110276464A
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杜旦妮
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Anhui Rhine River Kechuang Service Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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Abstract

The present invention discloses a kind of environmental protection technology service consultation management system Internet-based, including data acquisition module, analysis and processing module, controller, database, seek advice from reservation module, identity verification module, data disaply moudle and signal transmission module, the data acquisition module is for acquiring advisory data information, and advisory data information includes asking questions data, survey respondent's name and survey respondent's ID card No., and it asks questions data and refers to the verbal description asked questions, the data acquisition module will ask questions data and be transferred to analysis and processing module, the setting that the present invention passes through analysis and processing module, the data that ask questions proposed to consultant are analyzed, determine normal data corresponding to the problem of consultant is seeked advice from data, consequently facilitating system explicitly classifies to the data that ask questions of consultant , the phenomenon that seeking advice from classification error appearance is prevented, the time consumed by repeating to seek advice from is saved.

Description

A kind of environmental protection technology service consultation management system Internet-based
Technical field
The present invention relates to service consultation administrative skill field, specially a kind of environmental protection technology service consultation Internet-based Management system.
Background technique
Environmental protection, full name environmental protection refer to that the mankind are solution reality or potential environmental problem, coordinate the mankind and environment Relationship, ensure economic, society sustainable development and the general name of various action taken.Its ways and means has engineering technology , administration, wound it is newly developed, also have law, it is economical, communication and education etc., people for environmental protection only know Some environmental protection companies are needed environmental protection technology, for some small enterprises at the early-stage by simple some trifling matters of everyday lifes For, it just needs to seek advice from stakeholder in terms of environmental protection technology, for this purpose, environmental protection technology service consultation there is.
Existing license notification number is a kind of online consultation management system of CN201548994U, the online consultation management System has high capacity service processing ability and takes into account each terminal different demands, but the online consultation management system can not be to official communication The problem of inquiry personnel are seeked advice from defines, and only searches for related problem, while not recommending consultant, consultant All it is that blindness oneself finds relevant content on webpage, wastes a large amount of time, for this purpose, it is proposed that a kind of based on interconnection The environmental protection technology service consultation management system of net.
Summary of the invention
It is an object of the invention to realize explicitly to be determined and realized to asking questions described in consultant The problem of seeked advice to consultant, reasonably recommends consultant, by the setting of analysis and processing module, is retouched to consultant Asking questions for stating is compared with normal data, so that obtaining survey respondent asks questions corresponding normal data, passes through consulting The setting of reservation module is analyzed for the data that ask questions of consultant, to reasonably recommend consultant, solves to consult The problem of inquiry personnel are seeked advice from.
The technical problems to be solved by the invention are as follows:
(1) how to realize and be compared with normal data to being asked questions described in consultant, to be seeked advice from People asks questions corresponding normal data;
(2) how according to obtained normal data, it is matched to corresponding consultant, is asked answer that consultant seeked advice from Topic;
The purpose of the present invention can be achieved through the following technical solutions: a kind of environmental protection technology service consultation Internet-based Management system, including data acquisition module, analysis and processing module, controller, database, consulting reservation module, identity verification mould Block, data disaply moudle and signal transmission module;
The data acquisition module for acquiring advisory data information, and advisory data information include ask questions data, Survey respondent's name and survey respondent's ID card No., and ask questions data and refer to the verbal description asked questions, the data are adopted Collection module will ask questions data and be transferred to analysis and processing module, and data acquisition module is also by survey respondent's name and the consulting person Part demonstrate,proves number transfer to identity verification module;
The databases contain normal data, and the normal data refers to the problem of client is seeked advice from database Grapholect description, the analysis module via controller obtains normal data out of database;
The analysis and processing module asks questions data and after getting normal data, that is, analyzes it receiving Processing operation obtains normal data corresponding with data are asked questions, and its via controller is transferred to database and is deposited Storage, and it is also transferred to consulting reservation module together with survey respondent's name and survey respondent's ID card No.;
Consulting classification data, consultant's data and consultant's level data, the consulting are also stored in the database Classification data refers to the type of the problem of consulting affiliated environmental protection technology, and consultant's data include consultant's identity data, consult Teacher month consulting amount and favorable comment data are ask, the consulting reservation module obtains consulting classification data, consultant's data out of database After consultant's level data, it is subjected to consulting reservation operation together with normal data, to obtain preferred consultant, and by its It is transferred to identity verification module;
Registration name, enrollment status card number and level privileges data, the grade power are also stored in the database Limit data refer to the level privileges for the account that survey respondent is registered, and the identity verification module obtains registration surname out of database Name, enrollment status card number and consultant's level data after, by its together with survey respondent's name and survey respondent's ID card No. into Row verifies operation, to obtain reservation failure signal and reserve pass signal, and is transmitted to data disaply moudle;
The data disaply moudle is for explicit reservation failure signal and reservation pass signal and is transferred to signal transmission mould Whether block, the signal transmission module send to consultant according to the reservation failure signal and reservation pass signal of generation and reserve Successfully notice.
Preferably, the concrete processing procedure of the analysis processing operation is as follows:
Each of step 1: acquisition asks questions data and normal data, and will ask questions in data and normal data Text is respectively labeled as Ni and ni, i=1, and 2,3...h, it by normal data ni and asks questions data Ni and is compared, obtain two The identical verbal description of person is then recorded as a same text, and is X by the number tag of same text, by the identical of record Text quantity is compared with the total number of word Q for asking questions data, calculates ratio B=X/Q shared by same text;
Step 2: the key sentence of normal data, the definition method of key sentence are first defined in normal data are as follows: will Each character of normal data is labeled as K1, K2, K3...Ke in sequence, chooses any continuous four characters of label and is One group of key sentence, and key sentence is labeled as gl, l=1,2,3...a, identification asks questions in data and normal data Identical key sentence, is marked as Gj, j=1,2, and 3...b calculates the key sentence and standard asked questions in data The ratio V=Gj/gl of key sentence in data;
Step 3: the value of ratio V shared by ratio B and key sentence according to shared by same text, to asking questions number Determined according to corresponding normal data, specifically:
S1: as B≤M, and when V≤N, then determine that this asks questions data and matches with normal data;
S2: as B < M, and when V < N, then determine that this asks questions data and misfits with normal data, determine the advisory data Information is not belonging to this service consultation, terminates current operation;
S3: as B≤M, and when V < N, then determine that this asks questions data and misfits with normal data, determine the advisory data Information is not belonging to this service consultation, terminates current operation;
S4: as B < M, and when V≤N, then determine that this asks questions data and matches with normal data, and N and M are default Value.
Preferably, detailed process is as follows for the consulting reservation operation:
Step 1: obtaining consulting classification data, consultant's data and normal data, according to normal data and consulting classification number According to the division that will ask questions data and carry out classification, determine that survey respondent asks questions Category of consulting belonging to data, and by the official communication Consultant's identity data in classification, consultant month consulting amount and favorable comment data are ask to extract;
Step 2: it after obtaining consultant's identity data, consultant month consulting amount and favorable comment data, is seeked advice from according to consultant month Amount is ranked up consultant month consulting amount, and the favorable comment of each consultant is calculated according to consultant month consulting amount and favorable comment data Rate=favorable comment data/consultant month consulting amount;
Step 3: first five consultant's identity data of consultant's month consulting amount ranking in obtaining step two, while will consulting First five the positive rating of consultant of teacher's month consulting amount ranking is enumerated, by two two-phase of moon consulting amount of five consultants of selection Mutually relatively, according to ranking first five consultant's month consulting amount and consultant positive rating comparison result, before consulting amount ranking Five consultant's progress is integrated ordered, specifically:
S1: the moon consulting amount and positive rating of any two consultant are compared, and according to comparison rule, obtain one group of ratio To result;
S2: according to obtained multiple groups comparison result, carrying out overall ranking to consultant, will obtain overall ranking be denoted as a > b > c>d>e;
Wherein, the comparison rules in S1 are as follows:
Calculate two consultants month ratio of consulting amount and the ratio of positive rating;
When the ratio of two consultants month consulting amounts is greater than K, and positive rating ratio is greater than L;
Or when the ratio of two consultants month consulting amounts is less than K, and positive rating ratio is greater than L;
Or when the ratio of two consultants month consulting amounts is equal to K, and positive rating ratio is greater than L;
Or when the ratio of two consultants month consulting amounts is greater than K, and positive rating ratio is equal to L;
Or when the ratio of two consultants month consulting amounts is equal to K, and positive rating ratio is equal to L, the then corresponding official communication of dividend The ranking for asking teacher is greater than the ranking of the corresponding consultant of divisor, and as comparison result;
When the ratio of two consultants month consulting amounts is greater than K, and positive rating ratio is less than L;
Or when the ratio of two consultants month consulting amounts is less than K, and positive rating ratio is less than L;
Or when the ratio of two consultants month consulting amounts is equal to K, and positive rating ratio is less than L;
Or when the ratio of two consultants month consulting amounts is less than K, and positive rating ratio is equal to L, the then corresponding official communication of dividend The ranking for asking teacher is less than the ranking of the corresponding consultant of divisor, and as comparison result;
Step 4: the consultant that calculation and result in combining step three obtain is integrated ordered, and selection wherein arranges The consultant of first five recommends, as preferred consultant.
Preferably, the specific operation process for verifying operation is as follows:
Step 1: registration name, enrollment status card number, survey respondent's name and survey respondent's ID card No. are obtained, and will Two groups of data are compared, and show whether the consultant occurred in this platform, when not occurring, are then infused Volume, it is out-of-date when occurring, then obtain level privileges data of the consultant in this platform;
Step 2: obtaining consultant's level data, according to the own tier data of the consultant in step 1, recommends suitable The consultant of conjunction, as recommendation consultant;
Step 3: consultant is according to recommending consultant to carry out consultant's reservation, when the consultant that consultant chooses is super The extent of competence of itself is crossed, then generates reservation failure signal, when the consultant that consultant chooses is in itself extent of competence, then Generate reservation pass signal.
Beneficial effects of the present invention:
(1) by data acquisition module for acquiring advisory data information, and advisory data information includes asking questions number According to, survey respondent's name and survey respondent's ID card No., and asks questions data and refer to the verbal description asked questions, data acquisition Module will ask questions data and be transferred to analysis and processing module, and data acquisition module is also by survey respondent's name and survey respondent's identity Number transfer is demonstrate,proved to identity verification module, databases contain normal data, and normal data refers to the problem of client is seeked advice from Grapholect description in database, analysis module via controller obtain normal data, analysis and processing module out of database After receiving and asking questions data and normal data, that is, processing is analyzed it, it is right by the setting of analysis and processing module What consultant was proposed, which ask questions data, analyzes, and determines mark corresponding to the problem of consultant is seeked advice from data It is wrong to prevent consulting classification consequently facilitating system explicitly classifies to the data that ask questions of consultant for quasi- data Accidentally the phenomenon that, occurs, and saves the time consumed by repeating to seek advice from;
(2) consulting classification data, consultant's data and consultant's level data, consultant's data are also stored in database Including consultant's identity data, consultant month consulting amount and favorable comment data, consulting reservation module obtains consulting point out of database After class data, consultant's data and consultant's level data, it is subjected to consulting reservation operation together with normal data, passes through official communication The setting for asking reservation module reasonably recommends consultant for the data that ask questions of consultant, saves consultant and choose The time of consultant increases consultant to the satisfaction of consulting result, improves working efficiency;
(3) registration name, enrollment status card number and level privileges data, identity verification module are also stored in database After obtaining registration name, enrollment status card number, level privileges data and consultant's level data out of database, by itself and official communication It askes people's name and survey respondent's ID card No. carries out verification operation together, data disaply moudle is for showing identity verification module Verification result is simultaneously transferred to signal transmission module, signal transmission module according to the result of identity verification to consultant send whether Reservation successfully notifies, by the setting of identity verification module, verifies the identity of consultant, judges that consultant is The no consultant for having permission reservation and oneself thinking reservation encourages make corresponding contribution of the consultant to this platform, meanwhile, in number According to the result notice of reservation to consultant, increasing convenience under the setting of display module and signal transmission module.
Detailed description of the invention
The present invention will be further described below with reference to the drawings.
Fig. 1 is system block diagram of the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts all other Embodiment shall fall within the protection scope of the present invention.
Refering to Figure 1, the present invention is a kind of environmental protection technology service consultation management system Internet-based, including number According to acquisition module, analysis and processing module, controller, database, consulting reservation module, identity verification module, data disaply moudle And signal transmission module;
The data acquisition module for acquiring advisory data information, and advisory data information include ask questions data, Survey respondent's name and survey respondent's ID card No. survey respondent name and survey respondent's ID card No. refer to collected survey respondent's Name and ID card No., and ask questions data and refer to the verbal description asked questions, the data acquisition module will seek advice from Problem data is transferred to analysis and processing module, and data acquisition module also transmits survey respondent's name and survey respondent's ID card No. To identity verification module;
The databases contain normal data, and the normal data refers to the problem of client is seeked advice from database Grapholect description, the analysis module via controller obtains normal data out of database;
The analysis and processing module asks questions data and after getting normal data, that is, analyzes it receiving Processing operation obtains normal data corresponding with data are asked questions, and its via controller is transferred to database and is deposited Storage, and it is also transferred to consulting reservation module together with survey respondent's name and survey respondent's ID card No.;
Consulting classification data, consultant's data and consultant's level data, the consulting are also stored in the database Classification data refers to the type of the problem of consulting affiliated environmental protection technology, and consultant's data refer to number relevant to consultant According to consultant's level data refers to rank of the consultant in this platform, and consultant's data include consultant's identity Data, consultant month consulting amount and favorable comment data, the consulting reservation module obtain consulting classification data, consulting out of database After teacher's data and consultant's level data, it is subjected to consulting reservation operation together with normal data, to obtain preferred consultant, And it is transmitted to identity verification module;
Registration name, enrollment status card number and level privileges data, the registration surname are also stored in the database Name and enrollment status card number are referred in the registered name of this platform and ID card No., and the level privileges data refer to For the level privileges for the account that survey respondent is registered, the identity verification module obtains registration name, registration body out of database After part card number and consultant's level data, it is subjected to verification behaviour together with survey respondent's name and survey respondent's ID card No. Make, to obtain reservation failure signal and reserve pass signal, and is transmitted to data disaply moudle;
The data disaply moudle is for explicit reservation failure signal and reservation pass signal and is transferred to signal transmission mould Whether block, the signal transmission module send to consultant according to the reservation failure signal and reservation pass signal of generation and reserve Successfully notice.
The concrete processing procedure of the analysis processing operation is as follows:
Each of step 1: acquisition asks questions data and normal data, and will ask questions in data and normal data Text is respectively labeled as Ni and ni, i=1, and 2,3...h, it by normal data ni and asks questions data Ni and is compared, obtain two The identical verbal description of person, when occur N1 and n1 or N2 it is identical as n2 when, then be recorded as a same text, and by Xiang Tongwen The number tag of word is X, and the same text quantity of record is compared with the total number of word Q for asking questions data, calculates phase With ratio B=X/Q shared by text;
Step 2: the key sentence of normal data is first defined in normal data, and key sentence refers in one section of word The sentence of continuous text composition, the definition method of key sentence are as follows: mark each character of normal data in sequence For K1, K2, K3...Ke, choosing any continuous four characters of label is one group of key sentence, and key sentence is labeled as Gl, l=1,2,3...a, identification ask questions the key sentence identical with normal data in data, are marked as Gj, j= 1,2,3...b, calculate the ratio V=Gj/gl for asking questions the key sentence in key sentence and normal data in data;
Step 3: the value of ratio V shared by ratio B and key sentence according to shared by same text, to asking questions number Determined according to corresponding normal data, specifically:
S1: as B≤M, and when V≤N, then determine that this asks questions data and matches with normal data;
S2: as B < M, and when V < N, then determine that this asks questions data and misfits with normal data, determine the advisory data Information is not belonging to this service consultation, terminates current operation;
S3: as B≤M, and when V < N, then determine that this asks questions data and misfits with normal data, determine the advisory data Information is not belonging to this service consultation, terminates current operation;
S4: as B < M, and when V≤N, then determine that this asks questions data and matches with normal data, and N and M are default Value, while the meaning that identical text is expressed in different sentences in one section of word is not identical, thus mainly according to key sentence Shared ratio is determined, as a result more acurrate.
Detailed process is as follows for the consulting reservation operation:
Step 1: obtaining consulting classification data, consultant's data and normal data, according to normal data and consulting classification number According to the division that will ask questions data and carry out classification, determine that survey respondent asks questions Category of consulting belonging to data, and by the official communication Consultant's identity data in classification, consultant month consulting amount and favorable comment data are ask to extract;
Step 2: it after obtaining consultant's identity data, consultant month consulting amount and favorable comment data, is seeked advice from according to consultant month Amount is ranked up consultant month consulting amount, and the favorable comment of each consultant is calculated according to consultant month consulting amount and favorable comment data Rate=favorable comment data/consultant month consulting amount;
Step 3: first five consultant's identity data of consultant's month consulting amount ranking in obtaining step two, while will consulting First five the positive rating of consultant of teacher's month consulting amount ranking is enumerated, by two two-phase of moon consulting amount of five consultants of selection Mutually relatively, according to ranking first five consultant's month consulting amount and consultant positive rating comparison result, before consulting amount ranking Five consultant's progress is integrated ordered, specifically:
S1: the moon consulting amount and positive rating of any two consultant are compared, and according to comparison rule, obtain one group of ratio To result;
S2: according to obtained multiple groups comparison result, carrying out overall ranking to consultant, will obtain overall ranking be denoted as a > b > c>d>e;
Wherein, the comparison rules in S1 are as follows:
Calculate two consultants month ratio of consulting amount and the ratio of positive rating;
When the ratio of two consultants month consulting amounts is greater than K, and positive rating ratio is greater than L;
Or when the ratio of two consultants month consulting amounts is less than K, and positive rating ratio is greater than L;
Or when the ratio of two consultants month consulting amounts is equal to K, and positive rating ratio is greater than L;
Or when the ratio of two consultants month consulting amounts is greater than K, and positive rating ratio is equal to L;
Or when the ratio of two consultants month consulting amounts is equal to K, and positive rating ratio is equal to L, the then corresponding official communication of dividend The ranking for asking teacher is greater than the ranking of the corresponding consultant of divisor, and as comparison result;
When the ratio of two consultants month consulting amounts is greater than K, and positive rating ratio is less than L;
Or when the ratio of two consultants month consulting amounts is less than K, and positive rating ratio is less than L;
Or when the ratio of two consultants month consulting amounts is equal to K, and positive rating ratio is less than L;
Or when the ratio of two consultants month consulting amounts is less than K, and positive rating ratio is equal to L, the then corresponding official communication of dividend The ranking for asking teacher is less than the ranking of the corresponding consultant of divisor, and as comparison result;
Step 4: the consultant that calculation and result in combining step three obtain is integrated ordered, and selection wherein arranges The consultant of first five recommends, as preferred consultant.
The specific operation process for verifying operation is as follows:
Step 1: registration name, enrollment status card number, survey respondent's name and survey respondent's ID card No. are obtained, and will Two groups of data are compared, and show whether the consultant occurred in this platform, when not occurring, are then infused Volume, it is out-of-date when occurring, then obtain level privileges data of the consultant in this platform;
Step 2: obtaining consultant's level data, according to the own tier data of the consultant in step 1, recommends suitable The consultant of conjunction, as recommendation consultant;
Step 3: consultant is according to recommending consultant to carry out consultant's reservation, when the consultant that consultant chooses is super The extent of competence of itself is crossed, then generates reservation failure signal, when the consultant that consultant chooses is in itself extent of competence, then Generate reservation pass signal.
Embodiment 1: a kind of grade growing method: the database is set according to the own tier data of above-mentioned consultant It is inside stored with the consulting number data of consultant, consultant's evaluation information, invites friend information, consultant's evaluation Information includes that consultant evaluates number data, consultant's favorable comment alphanumeric data and consultant's favorable comment number data, described Inviting friend information includes inviting good friend's quantity, good friend's consulting amount, good friend's invitation amount, the grade growing method of the consultant Are as follows:
Step 1: consulting number data are obtained, consultant evaluates number data, invites good friend's quantity, good friend's consulting amount With good friend's invitation amount, consulting number data, consultant are evaluated into number data, good friend's quantity, good friend's consulting amount is invited to become reconciled Friendly invitation amount is successively labeled as Z, P, Y, H and Q;
Step 2: by the consulting each time of itself, evaluation and invite good friend mark be at long value, will good friend each time Consulting amount and good friend's invitation amount mark, at long value, to obtain
Step 3: favorable comment alphanumeric data and favorable comment number data are obtained and are marked as HP and CS, according to consultant Favorable comment number data and consultant evaluate number data and calculate consultant's positive rating=CS/P;
Step 4: rewarding accordingly according to consultant's positive rating and the setting of consultant's favorable comment alphanumeric data, specifically: When consultant's positive rating is greater than D, then increase corresponding d point at long value, when consultant's positive rating is less than or equal to D, then Long value is not given into, when consultant's favorable comment alphanumeric data is greater than F, then increases corresponding f point at long value, when consultant is good When alphanumeric data being commented to be less than or equal to F, then long value is not given into.
At work, data acquisition module is for acquiring advisory data information, and advisory data information includes consulting by the present invention Problem data, survey respondent's name and survey respondent's ID card No. are ask, and asks questions data and refers to the verbal description asked questions, Data acquisition module will ask questions data and be transferred to analysis and processing module, and data acquisition module is also by survey respondent's name and official communication People's identity card number transfer is ask to identity verification module, databases contain normal data, and normal data refers to client and consulted Grapholect description of the problem of inquiry in database, analysis module via controller obtain normal data out of database, analyze Processing module analyzes it processing, is also stored in database after receiving and asking questions data and normal data Seeking advice from classification data, consultant's data, level privileges data and consultant's level data, consultant's data includes consultant's identity Data, consultant month consulting amount and favorable comment data, consulting reservation module obtain consulting classification data, consultant's number out of database According to it after consultant's level data, is carried out to consulting reservation operation together with normal data, be also stored with registration in database Name, enrollment status card number and level privileges data, identity verification module obtain registration name, enrollment status out of database After demonstrate,proving number and level privileges data, it is subjected to verification operation together with survey respondent's name and survey respondent's ID card No., number According to display module be used for show identity verification module verification result and be transferred to signal transmission module, signal transmission module according to The result of identity verification sends whether reserve successful notice to consultant.
The present invention is used to acquire advisory data information by data acquisition module, and advisory data information includes asking questions Data, survey respondent's name and survey respondent's ID card No., and ask questions data and refer to the verbal description asked questions, data are adopted Collection module will ask questions data and be transferred to analysis and processing module, and data acquisition module is also by survey respondent's name and the consulting person Part demonstrate,proves number transfer to identity verification module, and databases contain normal data, and what normal data reference client was seeked advice from asks The grapholect description in database is inscribed, analysis module via controller obtains normal data, analysis processing mould out of database Block analyzes it processing after receiving and asking questions data and normal data, by the setting of analysis and processing module, The data that ask questions proposed to consultant are analyzed, and are determined corresponding to the problem of consultant is seeked advice from data Normal data prevents consulting classification consequently facilitating system explicitly classifies to the data that ask questions of consultant The phenomenon of mistake occurs, and saves the time consumed by repeating to seek advice from;
Consulting classification data, consultant's data, level privileges data and consultant's grade are also stored in database simultaneously Data, consultant's data include consultant's identity data, consultant month consulting amount and favorable comment data, seek advice from reservation module from data After obtaining consulting classification data, consultant's data and consultant's level data in library, it is seeked advice from together with normal data Reservation operation is reasonably recommended consultant for the data that ask questions of consultant, is saved by seeking advice from the setting of reservation module The time that consultant chooses consultant is saved, increases consultant to the satisfaction of consulting result, improves working efficiency.
Registration name, enrollment status card number and level privileges data, identity verification mould are also stored in database simultaneously After block obtains registration name, enrollment status card number and level privileges data out of database, by itself and survey respondent's name and official communication It askes people's ID card No. and carries out verification operation together, data disaply moudle is used to show the verification result and biography of identity verification module Defeated to arrive signal transmission module, whether signal transmission module sends to reserve according to the result of identity verification to consultant successfully leads to Know, by the setting of identity verification module, the identity of consultant is verified, judges whether consultant has permission reservation Oneself think the consultant of reservation, encourage make corresponding contribution of the consultant to this platform, meanwhile, in data disaply moudle and To the result notice of reservation to consultant under the setting of signal transmission module, increase convenience.
Above content is only to structure of the invention example and explanation, affiliated those skilled in the art couple Described specific embodiment does various modifications or additions or is substituted in a similar manner, without departing from invention Structure or beyond the scope defined by this claim, is within the scope of protection of the invention.

Claims (4)

1. a kind of environmental protection technology service consultation management system Internet-based, which is characterized in that including data acquisition module, divide It analyses processing module, controller, database, consulting reservation module, identity verification module, data disaply moudle and signal and transmits mould Block;
The data acquisition module is for acquiring advisory data information, and advisory data information includes asking questions data, consulting People's name and survey respondent's ID card No., and ask questions data and refer to the verbal description asked questions, the data acquisition module Block will ask questions data and be transferred to analysis and processing module, and data acquisition module is also by survey respondent's name and survey respondent's identity card Number transfer is to identity verification module;
The databases contain normal data, and the normal data refers to mark of the problem of client is seeked advice from database Quasi- verbal description, the analysis module via controller obtain normal data out of database;
The analysis and processing module asks questions data and after getting normal data, that is, analyzes it processing receiving Operation, obtains normal data corresponding with data are asked questions, and its via controller is transferred to database and is stored, and It is also transferred to consulting reservation module together with survey respondent's name and survey respondent's ID card No.;
Consulting classification data, consultant's data and consultant's level data, the consulting classification are also stored in the database Data refer to the type of the problem of consulting affiliated environmental protection technology, and consultant's data include consultant's identity data, consultant Month consulting amount and favorable comment data, the consulting reservation module is obtained out of database seeks advice from classification data, consultant's data and official communication After asking teacher's level data, it is subjected to consulting reservation operation together with normal data, to obtain preferred consultant, and is transmitted To identity verification module;
Also be stored with registration name, enrollment status card number and level privileges data in the database, the registration name with Enrollment status is demonstrate,proved number and is referred in the registered name of this platform and ID card No., and the level privileges data, which refer to, to be consulted The level privileges for the account that people is registered are ask, the identity verification module obtains registration name, enrollment status card out of database After number and consultant's level data, it is subjected to verification operation together with survey respondent's name and survey respondent's ID card No., with It obtains reservation failure signal and reserves pass signal, and be transmitted to data disaply moudle;
The data disaply moudle is for explicit reservation failure signal and reservation pass signal and is transferred to signal transmission module, institute It states signal transmission module and sends whether reserve success to consultant according to the reservation failure signal of generation and reservation pass signal Notice.
2. a kind of environmental protection technology service consultation management system Internet-based according to claim 1, which is characterized in that The concrete processing procedure of the analysis processing operation is as follows:
Step 1: acquisition asks questions data and normal data, and each text that will be asked questions in data and normal data It is respectively labeled as Ni and ni, i=1,2,3...h, it by normal data ni and asks questions data Ni and is compared, both obtain phase Same verbal description is then recorded as a same text, and is X by the number tag of same text, by the same text of record Quantity is compared with the total number of word Q for asking questions data, calculates ratio B=X/Q shared by same text;
Step 2: the key sentence of normal data, the definition method of key sentence are as follows: by standard are first defined in normal data Each character of data is labeled as K1, K2, K3...Ke in sequence, and choosing any continuous four characters of label is one group Key sentence, and key sentence is labeled as gl, l=1,2,3...a, identification asks questions identical as normal data in data Key sentence, be marked as Gj, j=1,2,3...b calculates the key sentence and normal data asked questions in data The ratio V=Gj/gl of interior key sentence;
Step 3: the value of ratio V shared by ratio B and key sentence according to shared by same text, to asking questions data institute Corresponding normal data determined, specifically:
S1: as B≤M, and when V≤N, then determine that this asks questions data and matches with normal data;
S2: as B < M, and when V < N, then determine that this asks questions data and misfits with normal data, determine the advisory data information It is not belonging to this service consultation, terminates current operation;
S3: as B≤M, and when V < N, then determine that this asks questions data and misfits with normal data, determine the advisory data information It is not belonging to this service consultation, terminates current operation;
S4: as B < M, and when V≤N, then determine that this asks questions data and matches with normal data, and N and M are preset value.
3. a kind of environmental protection technology service consultation management system Internet-based according to claim 1, which is characterized in that Detailed process is as follows for the consulting reservation operation:
Step 1: obtaining consulting classification data, consultant's data and normal data, will according to normal data and consulting classification data The division that data carry out classification is asked questions, determines that survey respondent asks questions Category of consulting belonging to data, and by the consulting class Consultant's identity data, consultant month consulting amount and favorable comment data in not extract;
Step 2: after obtaining consultant's identity data, consultant month consulting amount and favorable comment data, according to consultant month consulting amount pair Consultant's month consulting amount is ranked up, according to consultant month consulting amount and favorable comment data calculate the positive rating of each consultant= Favorable comment data/consultant month consulting amount;
Step 3: first five consultant's identity data of consultant's month consulting amount ranking in obtaining step two, while by consultant month First five the positive rating of consultant of consulting amount ranking is enumerated, and the moon consulting amount of five consultants of selection is mutually compared two-by-two Compared with, according to ranking first five consultant's month consulting amount and consultant positive rating comparison result, to consulting amount ranking first five Consultant's progress is integrated ordered, specifically:
S1: the moon consulting amount and positive rating of any two consultant are compared, and according to comparison rule, obtain one group of comparison knot Fruit;
S2: according to obtained multiple groups comparison result, carrying out overall ranking to consultant, will obtain overall ranking be denoted as a > b > c > d > e;
Wherein, the comparison rules in S1 are as follows:
Calculate two consultants month ratio of consulting amount and the ratio of positive rating;
When the ratio of two consultants month consulting amounts is greater than K, and positive rating ratio is greater than L;
Or when the ratio of two consultants month consulting amounts is less than K, and positive rating ratio is greater than L;
Or when the ratio of two consultants month consulting amounts is equal to K, and positive rating ratio is greater than L;
Or when the ratio of two consultants month consulting amounts is greater than K, and positive rating ratio is equal to L;
Or when the ratio of two consultants month consulting amounts is equal to K, and positive rating ratio is equal to L, then the corresponding consultant of dividend Ranking be greater than the ranking of the corresponding consultant of divisor, and as comparison result;
When the ratio of two consultants month consulting amounts is greater than K, and positive rating ratio is less than L;
Or when the ratio of two consultants month consulting amounts is less than K, and positive rating ratio is less than L;
Or when the ratio of two consultants month consulting amounts is equal to K, and positive rating ratio is less than L;
Or when the ratio of two consultants month consulting amounts is less than K, and positive rating ratio is equal to L, then the corresponding consultant of dividend Ranking be less than the ranking of the corresponding consultant of divisor, and as comparison result;
Step 4: the consultant that calculation and result in combining step three obtain is integrated ordered, and selection wherein arranges first five Consultant recommend, as preferred consultant.
4. a kind of environmental protection technology service consultation management system Internet-based according to claim 1, which is characterized in that The specific operation process for verifying operation is as follows:
Step 1: registration name, enrollment status card number, survey respondent's name and survey respondent's ID card No. are obtained, and by two groups Data are compared, and show whether the consultant occurred in this platform, when not occurring, are then registered, when It is out-of-date to occur, then obtains level privileges data of the consultant in this platform;
Step 2: it obtains consultant's level data and is recommended suitable according to the own tier data of the consultant in step 1 Consultant, as recommendation consultant;
Step 3: consultant is according to recommending consultant to carry out consultant's reservation, when the consultant that consultant chooses is more than certainly The extent of competence of body then generates reservation failure signal, when the consultant that consultant chooses is in itself extent of competence, then generates Reserve pass signal.
CN201910543537.5A 2019-06-21 2019-06-21 A kind of environmental protection technology service consultation management system Internet-based Pending CN110276464A (en)

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