CN111340381A - Expert library management system based on weighted average algorithm - Google Patents

Expert library management system based on weighted average algorithm Download PDF

Info

Publication number
CN111340381A
CN111340381A CN202010143661.5A CN202010143661A CN111340381A CN 111340381 A CN111340381 A CN 111340381A CN 202010143661 A CN202010143661 A CN 202010143661A CN 111340381 A CN111340381 A CN 111340381A
Authority
CN
China
Prior art keywords
expert
bid evaluation
module
display screen
bid
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202010143661.5A
Other languages
Chinese (zh)
Other versions
CN111340381B (en
Inventor
石健昆
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangyike Data Technology Co ltd
Original Assignee
Guizhou Guangyiyang Data Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guizhou Guangyiyang Data Technology Co ltd filed Critical Guizhou Guangyiyang Data Technology Co ltd
Priority to CN202010143661.5A priority Critical patent/CN111340381B/en
Publication of CN111340381A publication Critical patent/CN111340381A/en
Application granted granted Critical
Publication of CN111340381B publication Critical patent/CN111340381B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311Scheduling, planning or task assignment for a person or group
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B08CLEANING
    • B08BCLEANING IN GENERAL; PREVENTION OF FOULING IN GENERAL
    • B08B1/00Cleaning by methods involving the use of tools
    • B08B1/10Cleaning by methods involving the use of tools characterised by the type of cleaning tool
    • B08B1/14Wipes; Absorbent members, e.g. swabs or sponges
    • B08B1/143Wipes
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B08CLEANING
    • B08BCLEANING IN GENERAL; PREVENTION OF FOULING IN GENERAL
    • B08B13/00Accessories or details of general applicability for machines or apparatus for cleaning
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B08CLEANING
    • B08BCLEANING IN GENERAL; PREVENTION OF FOULING IN GENERAL
    • B08B3/00Cleaning by methods involving the use or presence of liquid or steam
    • B08B3/02Cleaning by the force of jets or sprays
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/16Constructional details or arrangements
    • G06F1/1601Constructional details related to the housing of computer displays, e.g. of CRT monitors, of flat displays
    • 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
    • G06F16/22Indexing; Data structures therefor; Storage structures
    • G06F16/2291User-Defined Types; Storage management thereof
    • 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
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2462Approximate or statistical queries
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/08Auctions
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00Energy efficient computing, e.g. low power processors, power management or thermal management

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Human Resources & Organizations (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Strategic Management (AREA)
  • Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Databases & Information Systems (AREA)
  • Probability & Statistics with Applications (AREA)
  • General Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Data Mining & Analysis (AREA)
  • Software Systems (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Development Economics (AREA)
  • Computational Linguistics (AREA)
  • Mathematical Physics (AREA)
  • Human Computer Interaction (AREA)
  • Fuzzy Systems (AREA)
  • Computer Hardware Design (AREA)
  • Educational Administration (AREA)
  • Game Theory and Decision Science (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The application relates to a bid and tender management system, and particularly discloses an expert database management system based on a weighted average algorithm, which comprises a bid evaluation expert selection module, a weighting module and an expert database; the expert database stores expert information, wherein the expert information comprises an expert name, a keyword endowed to the expert, a bid evaluation field number associated with the keyword and a weight coefficient. The weighting module extracts expert information from an expert database regularly, the expert information comprises keywords and bid evaluation field times corresponding to the keywords, and a weight coefficient of the expert under the keywords is given according to the total bid evaluation field times of the expert for the keywords to participate; the bid evaluation expert selection module extracts expert information from an expert database through keywords given to the experts and extracts bid evaluation experts according to weight coefficients of the extracted expert information; the system realizes reasonable extraction of experts by combining the specialty of the bid evaluation experts and the bid evaluation experience.

Description

Expert library management system based on weighted average algorithm
Technical Field
The invention relates to a bid and tender management system, in particular to an expert database management system based on a weighted average algorithm.
Background
Bidding is an international practice, is a product of high development of commodity economy, is a mode of preferential bargaining developed by organizations by applying the functions of a technical method, an economic method and a competitive mechanism of market economy. In the purchasing behavior of goods, engineering and services, the bidder attracts a plurality of bidders to compete equally according to the same conditions through the purchasing and the requirements published in advance, and experts in the aspects of technology, economy, law and the like are organized according to the specified procedures to comprehensively review the plurality of bidders, so that the behavior process of the bidder who preferentially selects the project is selected. It is essential to obtain the best goods, projects and services at a lower price.
According to the 3 rd regulation of the Bingpo Bidding method, the following engineering construction projects including investigation, design, construction and supervision of projects and purchase of important equipment, materials and the like related to engineering construction are carried out in the China, and Bingpo Bidding must be carried out: (1) large-scale infrastructure, public utilities and other related social public interests, public safety projects; (2) using the national capital investment or national financing project in whole or in part; (3) and using the international organization or the foreign government to loan and assist the fund.
Electronic bidding and tendering are gradually popularized, but extraction experts have a lot of non-specifications and defects, so that the extraction of bid evaluation by the experts has a lot of unreasonableness, resources are often not reasonably utilized, and the bid evaluation does not effectively achieve the optimal result.
Disclosure of Invention
The invention aims to provide an expert database management system based on a weighted average algorithm, which is used for carrying out weighted average according to the distribution condition and the historical bid evaluation condition of each expert and realizing reasonable extraction of the experts by combining the specialty of the bid evaluation expert.
The expert database management system based on the weighted average algorithm comprises a bid evaluation expert selection module, a weighting module and an expert database;
and a bid evaluation expert selection module: extracting expert information from an expert database through keywords given to the experts, and extracting the bid evaluation experts according to weight coefficients of the extracted expert information;
a weighting module: regularly extracting expert information from an expert database, wherein the expert information comprises keywords and bid evaluation field times corresponding to the keywords, and giving a weight coefficient of the expert under the keywords according to the total bid evaluation field times of the expert for participating in the keywords;
an expert database: the system is used for storing expert information, wherein the expert information comprises an expert name, keywords given to the expert, and bid evaluation fields and weight coefficients associated with the keywords.
The beneficial effect of this scheme lies in:
the bid evaluation information participated by the bid evaluation experts is counted and stored in the expert database, and keywords and weight coefficients are given to the experts according to the bid evaluation conditions participated by the experts, wherein the weight coefficients are calculated by the weighting module according to the ratio of the bid evaluation field number participated by the bid evaluation experts under the same keyword to the total bid evaluation field number under the same keyword, so that the larger the coefficient in the weighting of a certain keyword, the larger the probability that the expert is selected to participate in the bid evaluation under the keyword, namely the larger the probability that the experienced bid evaluation experts are selected.
And by endowing keywords to the bid evaluation experts, inputting the keywords when selecting the bid evaluation experts, and extracting the relevant bid evaluation experts according to the keywords by the bid evaluation expert selection module and then selecting the bid evaluation experts according to the weight coefficient. By giving keywords, the bid evaluation experts can participate in bid evaluation related to the professionalism of the bid evaluation experts, and the professionalism is improved.
The first preferred scheme is as follows: as a further optimization of the basic scheme, the bid evaluation expert selection module comprises a boundary value setting submodule, the bid evaluation expert selection module performs bid evaluation expert group length selection and group member selection through the set boundary value, the weighting coefficient of the expert group length selected by the bid evaluation expert selection module is larger than the boundary value, and the weighting coefficient of the selected expert group member is smaller than the boundary value.
In the first preferred scheme, the expert group leader and the group members are set, and the expert group leader is selected from the members with the weight coefficients larger than the boundary value, so that the expert group for evaluating the bid can be ensured to have experienced members of the expert group for evaluating the bid; the expert team members select from the members with the weight coefficients smaller than the cut-off value, so that the participation degree of the newly evaluated experts can be improved; and the weight coefficient of the bid evaluation expert increases along with the increase of the bid evaluation participation field, thereby being beneficial to the balance of the weight coefficient of the bid evaluation expert in the expert database so as to balance the participation degree of the bid evaluation expert in the bid evaluation activity.
The preferred scheme II is as follows: as a further optimization of the first preferred scheme, the system further comprises a reminding module and a clearing module, when the bid evaluation expert selection module selects the expert group leader without selectable items, the reminding module sends out a reminding, and meanwhile, the bid evaluation expert selection module selects the expert group leader from the expert information of the weight coefficient lower than the demarcation value; after the evaluation expert selection module finishes the expert selection, the selection result can be deleted and the expert can be reselected through the clearing module.
In the second preferred scheme, by arranging the reminding module, when the evaluation expert selection module selects that the expert group leader has no selectable item, the reminding module sends out a reminder so as to conveniently reset the demarcation value; and deleting the selection result of the original bid evaluation expert by the setting and clearing module, and reselecting the bid evaluation expert according to the newly set boundary value.
The preferable scheme is three: and as a further optimization of the second preferred scheme, the expert information stored in the expert data further comprises a time period to be participated in the bid evaluation, and when selecting an expert, the bid evaluation expert selection module firstly deletes the expert information which has time conflict with the bid evaluation from the extracted expert information and then selects the expert.
In the third preferred scheme, the bid evaluation time period to be participated in by the bid evaluation expert is recorded in the expert database, and the bid evaluation expert selection module can screen out the corresponding bid evaluation expert according to the bid evaluation time period to be participated in by the bid evaluation expert recorded in the expert database when selecting the bid evaluation expert, so that the bid evaluation expert is prevented from being repeatedly extracted, and the reasonable distribution of the expert database is effectively ensured.
The preferable scheme is four: as a further optimization of the third preferred scheme, the system further comprises an expert display module, the expert database further comprises service data of the bid evaluation meeting room, the bid evaluation expert selection module extracts the bid evaluation meeting room which is not used in the bid evaluation time after completing the bid evaluation expert selection, and randomly designates the bid evaluation meeting room where the bid evaluation is held; and in the bid evaluation process, the selected expert information is disclosed through an expert disclosing module.
In the preferred scheme four, the expert public display module is arranged, so that the information of the members of the bid evaluation expert group can be displayed to the bidders through the expert public display module in the corresponding bid evaluation meeting room in the bid evaluation process, and the openness of the bid evaluation information is improved.
The preferable scheme is five: as the further optimization to the preferred scheme four, the expert public display module is including installing the display screen on evaluating the mark meeting room wall body, the front of display screen is equipped with the infrared induction control module of being connected with the display screen electricity, and infrared induction control module senses when there is the people in display screen the place ahead, and infrared induction control module controls the display screen and lights.
In the preferred embodiment, only when the infrared sensing control module senses that a person is in front of the display screen and the bid evaluation meeting room is in the corresponding bid evaluation time period, the display screen is lighted, so that the purpose of energy conservation can be achieved.
The preferable scheme is six: as a further optimization of the preferable scheme five, the expert display module further comprises a wiping block which can horizontally slide relative to the surface of the display screen, a sponge layer which is in contact with the display screen is arranged on one side, facing the surface of the display screen, of the wiping block, the wiping block is driven by a reciprocating motor to reciprocate, the reciprocating motor is connected with a controller, and the controller controls the reciprocating motor to reciprocate once at fixed time; a cylinder body, an air box and a liquid box are arranged below the display screen, a piston moving along with the wiping block is arranged in the cylinder body, an air inlet one-way valve and an air outlet one-way valve are arranged at the end part of the cylinder body, an air inlet of the air inlet one-way valve is communicated with the outside, and an air outlet end of the air outlet one-way valve is communicated with the air box; an atomizing nozzle is arranged above the display screen and comprises an inlet section, an outlet section and a throat part, the cross section of the throat part is smaller than that of the inlet section and that of the outlet section, the inlet section of the atomizing nozzle is connected with the air box through a pneumatic valve, the outlet section faces the surface of the display screen, and the throat part is connected with a suction pipe extending into the liquid box; the side of gas tank is equipped with the pressure chamber that the level set up, and sliding connection has the balancing weight that cuts off pressure chamber and gas tank in the pressure chamber, and the pressure chamber is connected with the pneumatic valve, and pneumatic valve opens when the pressure in the pressure chamber reaches the setting value.
In the sixth preferred embodiment, the wiping block will pass through the surface of the display screen periodically, so as to clean the dust on the surface of the display screen. The cylinder body, the piston, the air inlet one-way valve and the air outlet one-way valve form an inflator structure, the wiping block drives the piston to reciprocate in the cylinder body, so that the air outlet one-way valve continuously supplies air into the air tank, the balancing weight can slide in the pressure cavity, and the pressure in the air tank and the pressure in the pressure cavity finally tend to be consistent; when the pressure in the pressure cavity reaches the opening pressure of the pneumatic valve, the pneumatic valve is opened, so that the gas in the gas box is discharged through the atomizing nozzle; the pressure reduction in the pressure chamber necessarily means that the balancing weight slides to gas tank one side, and because the balancing weight has great inertia, the balancing weight will postpone to slide to gas tank one side to the open time of extension pneumatic valve guarantees to resume the ordinary pressure in the gas tank. Because atomizing nozzle is venturi tube structure, when the air current was discharged from atomizing nozzle, atomizing nozzle will be through the washing liquid of straw imbibition liquid case to the washing liquid atomizing spraying is on the display screen, then cooperates the piece of wiping and can clear away stubborn spot on the reality screen.
In addition, the probability of stubborn stains on a display screen is small compared with that common dust is adsorbed, and the wiping block needs to repeatedly run for many times due to pressure accumulation in the air tank, so that the spraying period of the cleaning liquid is longer than the reciprocating period of the wiping block, the utilization rate of the cleaning liquid can be improved, and the use of the cleaning liquid is saved.
The preferable scheme is seven: as a further optimization of the preferable scheme six, a permanent magnet is embedded in the balancing weight, and a coil is wound on the periphery of the pressure cavity; the suction pipe is made of iron-chromium-aluminum electrothermal alloy or nickel-chromium electrothermal alloy, and the coil and the suction pipe are connected to form a closed circuit.
In preferred scheme seven, after the gas in the gas tank was discharged, the balancing weight will slide to gas tank one side, and the washing liquid is absorb simultaneously in promptly, and the permanent magnet moves for the coil, then will form induced current in the coil, and this electric current can make the straw generate heat to reach the effect of heating washing liquid. Due to the fact that the temperature of the cleaning liquid rises, after the cleaning liquid is sprayed on the display screen, evaporation of the cleaning liquid can be accelerated, and the phenomenon that the cleaning liquid stays on the display screen for too long time to form water marks is avoided.
Drawings
FIG. 1 is a logic block diagram of an embodiment of the present invention;
FIG. 2 is a schematic diagram of an expert public module according to an embodiment of the present invention.
Detailed Description
The following is further detailed by way of specific embodiments:
reference numerals in the drawings of the specification include: display screen 10, cylinder 20, piston 21, air box 30, pressure chamber 31, balancing weight 32, coil 34, liquid box 40, wiping piece 50, guide rail 51, atomizing nozzle 60, straw 61.
The first embodiment is as follows:
the expert database management system based on the weighted average algorithm comprises a bid evaluation expert selection module, a weighting module, an expert database, a reminding module, a clearing module and an expert public display module.
And a bid evaluation expert selection module: extracting expert information from an expert database through keywords given to experts, deleting the expert information which has time conflict with the evaluation bidding in the field from the extracted expert information, and extracting the evaluation bidding experts according to the weight coefficient of the extracted expert information; the bid evaluation expert selection module comprises a boundary value setting submodule, the bid evaluation expert selection module performs bid evaluation expert group length selection and group member selection through the set boundary value, the weighting coefficient of the expert group length selected by the bid evaluation expert selection module is larger than the boundary value, and the weighting coefficient of the selected expert group member is smaller than the boundary value. And after the selection of the bid evaluation experts is completed, extracting the bid evaluation meeting rooms which are not used in the bid evaluation time, and randomly appointing the bid evaluation meeting rooms in which the bid evaluation is held.
A weighting module: the method comprises the steps that expert information is regularly extracted from an expert database, the expert information comprises key words and bid evaluation fields corresponding to the key words, a weight coefficient of the expert under the key words is given according to the total bid evaluation fields participated by the expert aiming at the key words, and the weight coefficient is a calculated result according to the ratio of the bid evaluation fields participated by the bid evaluation expert under the same key words to the total bid evaluation fields under the same key words;
an expert database: the system is used for storing the bid evaluation meeting room use data and expert information, wherein the expert information comprises expert names, keywords given to experts, bid evaluation fields related to the keywords, weight coefficients and time periods to be participated in bid evaluation.
A reminding module: when the bid evaluation expert selection module selects the expert group leader without selectable items, the reminding module sends out a prompt, and meanwhile, the bid evaluation expert selection module selects the expert group leader from the expert information of the weight coefficient lower than the boundary value.
A clearing module: after the evaluation expert selection module finishes the expert selection, the selection result can be deleted through the clearing module, the boundary value is reset, and the expert is selected again.
An expert display module: the expert public display module comprises a display screen arranged on the wall body of the evaluation meeting room, and the front surface of the display screen is provided with an infrared induction control module electrically connected with the display screen. In the bid evaluation process, the corresponding expert public display module in the bid evaluation meeting room is in a displayable state so as to display the information of the members of the bid evaluation expert group to the bidders; when the infrared induction control module induces that people are in front of the display screen, the infrared induction control module controls the display screen to be lightened.
The process of the system for executing the bid evaluation expert selection comprises the following steps:
s1, inputting the keyword of the bid evaluation and the holding time period, and initiating a bid evaluation expert to select;
s2, extracting and temporarily storing the bid evaluation experts related to the keywords according to the keywords through the expert information (the keywords, the time periods to be participated in bid evaluation and the bid evaluation field times related to the keywords) counted in the expert database, calculating the weight coefficients of the extracted bid evaluation experts according to a formula set by the weighting module, feeding the weight coefficients back to the expert information of the corresponding bid evaluation experts in the expert database for storage, and deleting the bid evaluation experts conflicting with the input time periods from the temporary storage. The weighting coefficient of the expert information is updated once the weighting module operates once;
s3, setting a boundary value through a boundary value setting submodule; after the setting of the boundary values is completed, the bid evaluation experts which are extracted in S2 and temporarily stored are first divided into two groups according to the boundary values. The weight coefficient larger than the boundary value is classified as a group 1, and the weight coefficient smaller than the boundary value is classified as a group 2; extracting the group leader of the bid evaluation expert from the group 1 and extracting the panelist of the bid evaluation expert from the group 2 by using a formula recorded in a bid evaluation expert selection module;
s4, after the step S3 is completed, if the bid evaluation experts need to be extracted again, deleting the selection result of the step S3 through the deleting module, and executing the step S3 again;
s5, allocating bid evaluation meeting rooms according to the bid evaluation meeting room use data conditions recorded in the expert database; and the extracted bid evaluation experts and the bid evaluation meeting room are fed back to the expert database;
s6, when the bid evaluation is in the holding time period, the expert display module is switched to a standby state; when the infrared induction control module induces that people are in front of the display screen, the infrared induction control module controls the display screen to be lightened.
Example two:
the difference between the second embodiment and the first embodiment is that the expert publicizing module is further optimized in the second embodiment.
The expert public display module comprises a display screen 10 fixed on the wall body of the comment mark meeting room and an infrared induction control module arranged on the upper part of the front surface of the display screen 10, and the display screen 10 is electrically connected with the infrared control module. The expert public module comprises a cleaning mechanism, guide rails 51 are respectively arranged on the upper side and the lower side of the display screen 10, the cleaning mechanism comprises a wiping block 50 capable of reciprocating along the surface of the display screen 10, the wiping block 50 is in a vertical strip shape, the upper end and the lower end of the wiping block 50 are respectively in sliding connection with the two guide rails 51, and the wiping block 50 is driven by a reciprocating motor to slide on the guide rails 51 in a reciprocating manner; specifically, the body of the reciprocating motor is fixed on the wall and positioned at the right side of the display screen 10, and the output shaft of the reciprocating motor is fixed with the middle part of the wiping block 50. One side of the wiping block 50 facing the surface of the display screen 10 is provided with a sponge layer contacting with the display screen 10, and the reciprocating motor is connected with a controller which controls the reciprocating motor to reciprocate once every certain time.
The cleaning mechanism further includes a cylinder 20, an air tank 30, and a liquid tank 40 disposed below the display screen 10, and an atomizing nozzle 60 disposed above the display screen 10. A piston 21 is arranged in the cylinder 20, a first strong magnet is arranged in the piston 21, and a second strong magnet which is mutually attracted with the first strong magnet is fixed at the lower end of the wiping block 50; i.e. the cylinder 20 and the piston 21 use the principle of a magnetically coupled rodless cylinder. The left end part of the cylinder body 20 is provided with an air inlet one-way valve and an air outlet one-way valve, an air inlet of the air inlet one-way valve is communicated with the outside, an air outlet of the air inlet one-way valve is communicated with the inside of the cylinder body 20, an air inlet end of the air exhaust one-way valve is communicated with the inside of the cylinder body 20, and an air exhaust end of the air exhaust one-way valve is communicated with the air box 30. The right side of the air box 30 is provided with a horizontally arranged pressure chamber 31, the pressure chamber 31 is connected with a balancing weight 32 which separates the pressure chamber 31 from the air box 30 in a sliding manner, when the pressure in the air box 30 is increased, the pressure in the air box 30 can push the balancing weight 32 to move rightwards, so that the pressure in the pressure chamber 31 is also increased, and finally the pressure in the air box 30 and the pressure chamber 31 tend to be consistent.
The atomizing nozzle 60 comprises an inlet section, an outlet section and a throat part with the cross section smaller than the inlet section and the outlet section, the inlet section of the atomizing nozzle 60 is connected with the air box 30 through a pneumatic valve, the outlet section faces the surface of the display screen 10, and the throat part is connected with a suction pipe 61 extending into the liquid box 40; the atomizing nozzle 60 employs the principle of a venturi tube. The inlet section of the atomizing nozzle 60 is connected to the air tank 30 through an air-operated valve, the pressure chamber 31 is connected to the air-operated valve, and the air-operated valve is opened when the pressure in the pressure chamber 31 reaches a set value.
In addition, a permanent magnet is embedded in the counterweight 32, and a coil 34 is wound on the periphery of the pressure cavity 31; the suction pipe 61 is made of nichrome and the coil 34 is connected to the suction pipe 61 in a closed circuit. When the counterweight 32 moves rapidly relative to the coil 34, current is formed in the coil 34, so that the suction tube 61 can be heated; and the coil 34 will react to form a resistance to the mating block.
The wiping piece 50 passes through the surface of the display screen 10, and dust on the surface of the display screen 10 can be cleaned regularly. The wiping block 50 drives the piston 21 to reciprocate in the cylinder 20, so that the air outlet one-way valve continuously supplies air into the air box 30, the counterweight 32 can slide in the pressure chamber 31, and the pressure in the air box 30 and the pressure in the pressure chamber 31 finally tend to be consistent. When the pressure in the pressure chamber 31 reaches the opening pressure of the pneumatic valve, the pneumatic valve is opened, and the gas in the gas tank 30 is discharged through the atomizing nozzle 60; the pressure in the pressure chamber 31 is reduced, which means that the weight 32 slides to one side of the air box 30, but because the weight 32 has larger inertia and the coil 34 can also form resistance to the weight 32, so that the weight 32 slides to the left, a delay phenomenon can occur, and the closing time of the pneumatic valve is delayed, so as to ensure that the normal pressure can be recovered in the air box 30, namely, the gas in the air box 30 can be fully discharged.
When the air current is discharged from the atomizing nozzle 60, the atomizing nozzle 60 will suck the cleaning liquid in the liquid tank 40 through the suction pipe 61, so that the cleaning liquid is atomized and sprayed on the display screen 10, and stubborn stains on the screen can be removed by matching with the wiping block 50. The probability of stubborn stains being formed is smaller than that of common dust being adsorbed on the display screen 10, and the wiping block 50 is required to repeatedly run for a plurality of times due to pressure accumulation in the air box 30, so that the spraying period of the cleaning liquid is longer than the reciprocating period of the wiping block 50, the utilization rate of the cleaning liquid can be improved, and the use of the cleaning liquid can be saved.
And because the air flow at the atomizing nozzle 60 has a certain delay function compared with the air flow at the pneumatic valve, when the cleaning liquid is sucked, the permanent magnet moves relative to the coil 34, and induced current is formed in the coil 34 to heat the suction pipe 61, so that the cleaning liquid is heated. After the cleaning liquid with the increased temperature is sprayed on the display screen 10, the evaporation rate of the cleaning liquid is increased, and the phenomenon that the cleaning liquid stays on the display screen 10 for too long time to form water marks can be avoided.
The foregoing is merely an example of the present invention and common general knowledge of known specific structures and features of the embodiments is not described herein in any greater detail. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.

Claims (8)

1. The expert library management system based on the weighted average algorithm is characterized in that: the bid evaluation expert system comprises a bid evaluation expert selection module, a weighting module and an expert database;
and a bid evaluation expert selection module: extracting expert information from an expert database through keywords given to the experts, and extracting the bid evaluation experts according to weight coefficients of the extracted expert information;
a weighting module: regularly extracting expert information from an expert database, wherein the expert information comprises keywords and bid evaluation field times corresponding to the keywords, and giving a weight coefficient of the expert under the keywords according to the total bid evaluation field times of the expert for participating in the keywords;
an expert database: the system is used for storing expert information, wherein the expert information comprises an expert name, keywords given to the expert, and bid evaluation fields and weight coefficients associated with the keywords.
2. The expert library management system based on weighted average algorithm of claim 1 wherein: the bid evaluation expert selection module comprises a boundary value setting submodule, the bid evaluation expert selection module performs bid evaluation expert group length selection and group member selection through the set boundary value, the weighting coefficient of the expert group length selected by the bid evaluation expert selection module is larger than the boundary value, and the weighting coefficient of the selected expert group member is smaller than the boundary value.
3. The expert library management system based on weighted average algorithm of claim 2 wherein: the bid evaluation expert selection module selects expert group length from expert information of a weight coefficient lower than a boundary value; after the evaluation expert selection module finishes the expert selection, the selection result can be deleted and the expert can be reselected through the clearing module.
4. The expert library management system based on weighted average algorithm of claim 3 wherein: the expert information stored in the expert data further comprises a time period to be participated in the evaluation of the bidding, and when the bid evaluation expert selection module selects the expert, the expert information which has time conflict with the evaluation bidding in the field is deleted from the extracted expert information, and then the expert selection is carried out.
5. The expert library management system based on weighted average algorithm of claim 4 wherein: the system also comprises an expert public display module, the expert database also comprises service data of the bid evaluation meeting room, and the bid evaluation expert selection module extracts the bid evaluation meeting room which is not used in the bid evaluation time after completing the selection of the bid evaluation expert and randomly designates the bid evaluation meeting room where the bid evaluation is held; and in the bid evaluation process, the selected expert information is disclosed through an expert disclosing module.
6. The expert library management system based on weighted average algorithm of claim 5 wherein: expert's public module is including installing the display screen on evaluating mark meeting room wall, the front of display screen is equipped with the infrared induction control module of being connected with the display screen electricity, and infrared induction control module senses that there is the man-hour in display screen the place ahead, and infrared induction control module controls the display screen and lights.
7. The expert library management system based on weighted average algorithm of claim 6 wherein: the expert display module further comprises a wiping block which can horizontally slide relative to the surface of the display screen, one side, facing the surface of the display screen, of the wiping block is provided with a sponge layer which is in contact with the display screen, the wiping block is driven by a reciprocating motor to do reciprocating motion, the reciprocating motor is connected with a controller, and the controller controls the reciprocating motor to do reciprocating motion once at regular time; a cylinder body, an air box and a liquid box are arranged below the display screen, a piston moving along with the wiping block is arranged in the cylinder body, an air inlet one-way valve and an air outlet one-way valve are arranged at the end part of the cylinder body, an air inlet of the air inlet one-way valve is communicated with the outside, and an air outlet end of the air outlet one-way valve is communicated with the air box; an atomizing nozzle is arranged above the display screen and comprises an inlet section, an outlet section and a throat part, the cross section of the throat part is smaller than that of the inlet section and that of the outlet section, the inlet section of the atomizing nozzle is connected with the air box through a pneumatic valve, the outlet section faces the surface of the display screen, and the throat part is connected with a suction pipe extending into the liquid box; the side of gas tank is equipped with the pressure chamber that the level set up, and sliding connection has the balancing weight that cuts off pressure chamber and gas tank in the pressure chamber, and the pressure chamber is connected with the pneumatic valve, and pneumatic valve opens when the pressure in the pressure chamber reaches the setting value.
8. The expert library management system based on weighted average algorithm of claim 7 wherein: a permanent magnet is embedded in the balancing weight, and a coil is wound on the periphery of the pressure cavity; the suction pipe is made of iron-chromium-aluminum electrothermal alloy or nickel-chromium electrothermal alloy, and the coil and the suction pipe are connected to form a closed circuit.
CN202010143661.5A 2020-03-04 2020-03-04 Expert database management system based on weighting algorithm Active CN111340381B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010143661.5A CN111340381B (en) 2020-03-04 2020-03-04 Expert database management system based on weighting algorithm

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010143661.5A CN111340381B (en) 2020-03-04 2020-03-04 Expert database management system based on weighting algorithm

Publications (2)

Publication Number Publication Date
CN111340381A true CN111340381A (en) 2020-06-26
CN111340381B CN111340381B (en) 2023-06-27

Family

ID=71185847

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010143661.5A Active CN111340381B (en) 2020-03-04 2020-03-04 Expert database management system based on weighting algorithm

Country Status (1)

Country Link
CN (1) CN111340381B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113033995A (en) * 2021-03-23 2021-06-25 昆明理工大学 Bidding evaluation expert selection and management platform based on 'internet +', and bidding evaluation method
CN114500756A (en) * 2022-04-18 2022-05-13 湖南畅迅信息技术有限公司 Call center data processing method and system
CN117634979A (en) * 2023-12-08 2024-03-01 长春领航科技有限公司 Power grid bid-recruitment bid-evaluation expert management system

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070124188A1 (en) * 2005-10-14 2007-05-31 Laurence Herman Expert referral and conflict management
US20070180388A1 (en) * 2006-01-04 2007-08-02 Izhikevich Eugene M Method of Peer Review of a Web-Based Encyclopedia
US20120030055A1 (en) * 2009-10-21 2012-02-02 Danny Chan Combinatorial portfolio aggregations in electronic trade
JP2015167049A (en) * 2015-07-01 2015-09-24 株式会社エヌ・ティ・ティ・データ Method for determining management item used in project management server, program and server
CN105096063A (en) * 2015-09-30 2015-11-25 阮民 Bid evaluation expert management method and system thereof
CN105760528A (en) * 2016-03-01 2016-07-13 中国南方电网有限责任公司 Information processing method and device
CN107832417A (en) * 2017-11-08 2018-03-23 中国人民解放军海军装备部装备招标中心 A kind of primary election experts database management method and database
CN109886770A (en) * 2019-01-10 2019-06-14 西北工业大学 A kind of region and professional expansible bidding professor abstracting method

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070124188A1 (en) * 2005-10-14 2007-05-31 Laurence Herman Expert referral and conflict management
US20070180388A1 (en) * 2006-01-04 2007-08-02 Izhikevich Eugene M Method of Peer Review of a Web-Based Encyclopedia
US20120030055A1 (en) * 2009-10-21 2012-02-02 Danny Chan Combinatorial portfolio aggregations in electronic trade
JP2015167049A (en) * 2015-07-01 2015-09-24 株式会社エヌ・ティ・ティ・データ Method for determining management item used in project management server, program and server
CN105096063A (en) * 2015-09-30 2015-11-25 阮民 Bid evaluation expert management method and system thereof
CN105760528A (en) * 2016-03-01 2016-07-13 中国南方电网有限责任公司 Information processing method and device
CN107832417A (en) * 2017-11-08 2018-03-23 中国人民解放军海军装备部装备招标中心 A kind of primary election experts database management method and database
CN109886770A (en) * 2019-01-10 2019-06-14 西北工业大学 A kind of region and professional expansible bidding professor abstracting method

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
ZHUO YU,LI LIN,WENJUAN CHENG: "Remote Expert Review System Research Based on Cloud Service Platform" *
ZHUO YU,LI LIN,WENJUAN CHENG: "Remote Expert Review System Research Based on Cloud Service Platform", 《2019 IEEE 8TH JOINT INTERNATIONAL INFORMATION TECHNOLOGY AND ARTIFICIAL INTELLIGENCE CONFERENCE (ITAIC)》 *
方博: "同领域应急救援专家水平量化评价" *
方博: "同领域应急救援专家水平量化评价", 《 辽宁工程技术大学学报(自然科学版)》 *
杨怡红: "山东省海洋工程咨询专家库管理及应用初探" *
杨怡红: "山东省海洋工程咨询专家库管理及应用初探", 《海洋开发与管理》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113033995A (en) * 2021-03-23 2021-06-25 昆明理工大学 Bidding evaluation expert selection and management platform based on 'internet +', and bidding evaluation method
CN114500756A (en) * 2022-04-18 2022-05-13 湖南畅迅信息技术有限公司 Call center data processing method and system
CN114500756B (en) * 2022-04-18 2022-06-17 湖南畅迅信息技术有限公司 Call center data processing method and system
CN117634979A (en) * 2023-12-08 2024-03-01 长春领航科技有限公司 Power grid bid-recruitment bid-evaluation expert management system
CN117634979B (en) * 2023-12-08 2024-05-14 长春领航科技有限公司 Power grid bid-recruitment bid-evaluation expert management system

Also Published As

Publication number Publication date
CN111340381B (en) 2023-06-27

Similar Documents

Publication Publication Date Title
CN111340381A (en) Expert library management system based on weighted average algorithm
Bai et al. An investigation of automated planograms using a simulated annealing based hyper-heuristic
Rayo et al. Optimal information disclosure
CN110245798A (en) A kind of monthly electricity demand forecasting method and system of office building electric system
Cao et al. A data-driven hybrid optimization model for short-term residential load forecasting
CN107209913A (en) Specifically notify to manage resource consumption using device
CN107609289A (en) The building material cost management-control method and system of structural fortification based on BIM models
CN109087165A (en) A kind of evaluation method of user's prestige based on block chain intelligence contract
Rettieva Equilibria in dynamic multicriteria games
Yaghin et al. A possibilistic multiple objective pricing and lot-sizing model with multiple demand classes
CN107766996A (en) The service distribution system of cloud housekeeping platform
Sridharan et al. Environmental sustainability assessment using multigrade fuzzy—a case of two Indian colleges
CN112232880A (en) Commodity recommendation method and device combining RPA and AI
Lakshmi et al. Hybrid artificial immune system approach for profit based unit commitment problem
Nazari et al. Modeling and analyzing pricing and inventory problem in a closed-loop supply chain with return policy and multiple manufacturers and multiple sales channels using game theory
Takagi Fusion technology of neural networks and fuzzy systems: A chronicled progression from the laboratory to our daily lives
Antczak et al. Data-driven simulation modeling of the checkout process in supermarkets: insights for decision support in retail operations
CN116823360A (en) Intelligent advertisement plan generation method and system based on user behaviors
Han et al. Multiple rules decision-based DE solution for the earliness-tardiness case of hybrid flow-shop scheduling problem
CN106228704A (en) There is mobile APP intelligent self-service car washer and the control method thereof of network savvy
Chowdhury et al. The impact of cultural values on green purchase intention of youths in a developing nation: Empirical evidence from Bangladesh
Ning et al. Recommending Electricity Plan: A Significant Nearest Neighbors Collaborative Filtering Method
CN112435611A (en) BIM-based holographic imaging full-decoration simulation display method and device
Amudha et al. GENCO’S Strategies for Selling Power and Reserve using Particle Swarm Optimization
TW200404426A (en) Push planning for unserviceable parts to facilitate repair planning in a repair network

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
TA01 Transfer of patent application right
TA01 Transfer of patent application right

Effective date of registration: 20230607

Address after: No. 1, Floor 30, Unit 1, Building 5, Greenland Liansheng International, No. 8, Chengxin North Road, Guanshanhu District, Guiyang City, Guizhou Province, 550000

Applicant after: Guangyike Data Technology Co.,Ltd.

Address before: Room 8, 12/F, Unit 1, Building B (B), Jinli Building, No. 89, Guiyang National Hi tech Industrial Development Zone Road, Guiyang City, Guizhou Province, 550000

Applicant before: Guizhou guangyiyang Data Technology Co.,Ltd.

GR01 Patent grant
GR01 Patent grant