CN109903004B - Bid bidding supervision flow method for strengthening supervision - Google Patents
Bid bidding supervision flow method for strengthening supervision Download PDFInfo
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Abstract
The invention provides a bid and bid supervision flow method for strengthening supervision, which adopts a five-level auditing mechanism to carry out detailed auditing and supervision on bid and bid items initiated by a signer; a second-level audit is adopted in the bid announcement link, so that the bid opening information of the bid announcement is ensured to accord with the condition; the method and the system ensure that the expert extraction is fair and random, the remote video transmission is carried out on the open label field by adopting an audio-video system, the remote video supervision is realized, and the supervision strength of the open label field is comprehensively improved by strengthening the field supervision and the remote video supervision; the accuracy and fairness of the marking are guaranteed.
Description
Technical Field
The invention relates to the field of computer application, in particular to a bidding supervision flow method.
Background
With the recent trend of internet technology, bidding processes are also developing online. The online bidding mode makes bidding activities more convenient and quicker, but also puts forward higher requirements on bidding flow supervision, and the conventional bidding supervision flow has the defect of insufficient supervision, mainly characterized in that the auditing supervision of the bidding flow link recording stage, the bidding announcement stage and the bid marking and showing stage is not strict, the supervision of the bid evaluation expert extraction stage and the bid opening stage is not sufficient, and the fairness of expert extraction and bid opening evaluation cannot be well ensured.
Of course, there are techniques and methods for solving such problems, such as chinese patent: electronic bidding method and bidding System, publication No. CN107067312A. Registering a bidding account or a bidding account by a user, binding a mobile phone number and a mailbox, and setting the security level of the account after finishing information; the bidding user logs in the account to perform bidding operation; the bidding user logs in the account to perform bidding operation to participate in bidding; bidding time cut-off bidding account selection bidding; randomly extracting a specified number of bid evaluation experts from an expert database of the field to which the bid is applied by the bid evaluation committee; the bid evaluation expert scores the bid file, the highest score is the bid unit, and bid marking is performed; refunds or freezes the bid user's deposit.
Although the safety and fairness of bidding activities can be improved, the situation that supervision is not great still exists in each key link of bidding, the specific links include that strict audit supervision is not carried out in the record form application link, the bidding announcement link is not strictly issued and supervised, the expert extraction link is not strictly supervised and extraction process is not carried out in a plurality of modes, the opening link is not subjected to field supervision and remote supervision, and the bid standard announcement link is not strictly publicized and supervised, so that supervision on the key links is weak, the situation that bidding information is not real, human factor interference, expert extraction is not random, bidding process is not fair and the like violates bidding principles still exists, and therefore, the space for improving and improving supervision is still provided in the process supervision of bidding activities.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a bidding supervision flow method for strengthening supervision. In the invention, a five-level auditing mechanism is adopted in the filing application link to carry out detailed auditing and supervision on bidding projects initiated by a bidding person; a second-level audit is adopted in the bid announcement link, so that the bid opening information of the bid announcement is ensured to accord with the condition; an automatic random extraction mechanism is adopted in an expert extraction link supervision mode and is combined with an automatic voice outbound system, so that expert extraction is guaranteed to be fair and random; the method comprises the steps that a double random extraction mechanism is adopted in a label opening field link to randomly extract a label-recruitment project and label-supervising personnel, random generation of the label-supervising personnel meeting the conditions is guaranteed, a remote video system is adopted to carry out remote video transmission on the label opening field, remote video supervision is achieved, and supervision force on the label opening field is comprehensively improved by reinforcing field supervision and remote video supervision; in the marking link, a second-level audit is adopted to ensure the accuracy and fairness of marking. The method realizes the reinforcement of the flow supervision of bidding activities by increasing the supervision intensity on the main links of bidding. The supervision of bidding activities is improved.
The technical scheme adopted for solving the technical problems of the invention comprises the following steps:
step one, auditing and supervising in the recording stage of the bid-inviting project;
the tenderer registers on a tendering supervision platform (referred to as a tendering supervision platform for short), logs in the tendering supervision platform after passing the examination, provides the function of online tendering activities, initiates the tendering, fills in a project record application form on the tendering supervision platform, and submits the application; after receiving a filing application of a tenderer, a background of the tenderer bid supervision platform carries out n-level auditing on the filing application, wherein n is more than or equal to 5, each auditing stage is responsible for auditing and supervision by staff, each staff has a lock of an electronic tenderer bid digital certificate and an electronic signature, namely a CA lock, the staff has to use the CA lock for auditing when auditing, the next auditing stage can be carried out after the auditing passes, and the n-level auditing is carried out after the n-level auditing passes, the step II is carried out;
secondly, auditing and publishing in a bid announcement stage of the bid item publishing;
entering a bid announcement publishing stage of the project, filling out a bid announcement of the project by a bid signer or an agency, and submitting the bid announcement; the method comprises the steps that a bid announcement of an item to be checked is received by a bid supervision platform background, 2-level checking is carried out on the bid announcement, namely an initial checking stage and a review stage, each checking stage is responsible for checking supervision by staff, each staff has a CA lock, the CA lock is used for checking when checking, a CA digital certificate is required to be locally downloaded by the CA lock, and staff certificate binding is carried out on a CA binding module of the bid supervision platform after the CA digital certificate is started, so that each staff corresponds to a unique CA lock, the security when checking is ensured, the next checking stage can be carried out only after the checking is passed, the next link of a bid flow is carried out after the 2-level checking is finished, the bidding document uploading stage is not required, and the step III is carried out after uploading;
step three, extracting and supervising in the extraction stage of the bidding project expert;
setting an extraction expert rule on a bid supervision platform by a signer or an agency structure within 24 hours before the bid opening time set by a project, wherein the extraction expert rule is that the signer or the agency determines the expertise and the number of persons of the extraction expert and units needing to be avoided according to the technical field related to the bid project, the bid supervision platform carries out the extraction of the bid evaluation expert according to the extraction expert rule after the setting of the extraction expert rule is finished, the expert extraction is finished in an expert extraction system of the bid supervision platform, the expert extraction system is called, the expert is automatically extracted in a platform expert library according to the set extraction rule, a call function module on the bid supervision platform is called after the extraction of the expert is finished, the call function module automatically calls the expert to participate in bid evaluation activities according to the extracted expert information, the call process is automatically finished by the bid supervision platform, the fact that the expert extraction is not interfered by human factors is ensured, and the expert is informed to enter a fourth step after the extraction is finished;
the expert extraction system is realized by using an SSWNF algorithm, and comprises the following specific steps:
before starting extraction, the supervisor initializes the extracted times of each supervisor in the supervisor library, namely extraNums i In the extraction process, counting the extraction times of each supervisor, and if each supervisor is extracted once, extraNums of the supervisor is recorded i Adding 1 and storing the data base to refresh in real time;
sorting the extracted times of the supervision personnel in the supervision personnel library from small to large, and comparing the unique identifiers of the supervision personnel with each other to obtain an extracted times sequence extractNumsList of the supervision personnel when the extracted times are the same;
analysis conversion is carried out on the extractNumsList: the extracted sequence obtains a weight sequence of the supervisory personnel as a weight list, the weight value and the specific gravity of each supervisory personnel are calculated according to the weight sequence, the weight level number is the total number total Nums of the extractable supervisory personnel, and the weight calculation is divided into the following two cases:
a) When the number of times of extraction increases monotonically, the weight sequence formula is shown as formula (4-1):
Weight i ＝TotalNums-i i∈[0，TotalNums-1] (4-1)
wherein Weight is i For the weight value of each person, total Nums is the total number of the person, and i represents the j person;
the upper limit of the weight of each supervisor is shown in the formula (4-2):
wherein, weight Top i Representing an upper weight limit of the ith person;
the lower limit of the weight of each supervisor is shown in the formula (4-3):
wherein, weight floor i Representing a lower weight limit for the ith person;
b) If the extracted number is the same in the extracted sequence, the weight of the next is the same as that of the last according to the sequence, and the weight sequence formula is shown as formula (4-4):
the upper limit of the weight of each supervisor at this time is shown in the formula (4-5):
the lower limit of the weight of each supervisor at this time is shown in the formula (4-6):
the weight total value is calculated through the upper and lower limits of the weight of each supervisor, and the weight total value weight calculation formula is as follows (4-7):
calculating the extraction probability P of each supervisor through the upper and lower limit intervals of the weight of each supervisor i As shown in the formula (4-8):
step four, an improved generation mechanism of label-opening field label-monitoring personnel;
adopting an SSWNF algorithm to extract bidding projects, then adopting the SSWNF algorithm to extract prison staff, calling a bidding project extraction module and a prison staff extraction module on the bidding supervision platform, and carrying out automatic optimization adjustment by the project extraction module and the prison staff extraction module according to the times of extracting the bidding projects and the prison staff, specifically adopting the SSWNF algorithm to extract the bidding projects and the prison staff; after the bidding projects and the prison staff are extracted, entering a step five;
step five, supervision in bid-opening field bid-evaluation stage of bid-tendering project
In the stage that the project reaches the bid-opening site and the bid-opening site is evaluated, the bid-opening site supervision platform calls an audio-video bidirectional transmission module, the audio-video bidirectional transmission module synchronously transmits the condition of the bid-opening site to a large screen of a management department in a video mode, and staff of the management department can perform video supervision of the bid-opening site and perform bid-opening supervision on the scene by adopting the bid-opening site supervision staff extracted in the step four;
step six, marking the public stage supervision in the bid-signing project
When the project reaches a bid marking stage, a signer or an agency issues a bid marking in the stage and submits the bid marking, and a background of a bid supervision and supervision platform receives the bid marking to be checked; and 2-level auditing is carried out on the signings, each stage is responsible for auditing and supervision by staff, each staff has a lock of an electronic bidding digital certificate and an electronic signature, namely a CA lock, the CA lock is used for auditing during auditing, the next auditing stage can be entered after the auditing passes, and the signing project can be issued after the auditing is completed after the 2-level auditing passes.
The beneficial effects of the invention are as follows: the method strengthens the supervision on the main flow links of bidding, and is particularly embodied in the record application links by adopting a five-level auditing mechanism, so as to carry out detailed auditing on bidding projects initiated by a bidding person and ensure that the project information is true; a second-level audit is adopted in the bid announcement link, so that the bid opening information of the bid announcement is ensured to accord with the condition; an automatic random extraction mechanism is combined with an automatic voice outbound system in an expert extraction link, so that the expert extraction is guaranteed to be fair and random; the method comprises the steps that a double random extraction mechanism is adopted in a label opening field link to randomly extract a label-recruitment project and label-supervising personnel, random generation of the label-supervising personnel meeting the conditions is guaranteed, an audio-video system is adopted to carry out remote video transmission on the label opening field, remote video supervision is achieved, and supervision force on the label opening field is comprehensively improved through reinforcing field supervision and remote video supervision; in the bid-marking link, 2-level auditing is adopted, so that the accuracy and fairness of bid-marking are ensured. The method realizes the reinforcement of the flow supervision of bidding activities by increasing the supervision intensity on the main links of bidding.
Drawings
FIG. 1 is a supervisory flow chart of the present invention improved in bidding major links.
Fig. 2 is a flow chart of randomly extracting prisoners at the open label site.
Detailed Description
The invention will be further described with reference to the drawings and examples.
1-2, the improved bid and ask supervision flow method of the invention comprises the following specific steps:
step one, auditing and supervising in the recording stage of the bid-inviting project;
the tenderer registers on a tendering supervision platform (referred to as a tendering supervision platform for short), logs in the tendering supervision platform after passing the examination, provides the function of online tendering activities, initiates the tendering, fills in a project record application form on the tendering supervision platform, and submits the application; after receiving a filing application of a signer, a background of the bidding supervision platform carries out n-level auditing on the filing application, wherein n is more than or equal to 5, specifically comprises an auditing 1 stage, an auditing 2 stage, an auditing 3 stage, an auditing 4 stage and an auditing 5 stage, each auditing stage is responsible for auditing and supervision by staff, each staff has a lock of an electronic bidding digital certificate and an electronic signature, namely a CA lock, the CA lock is required to be used for auditing when the staff inspects, the next auditing stage can be entered after the auditing passes, and the n-level auditing is completed and then the step II is entered;
secondly, auditing and publishing in a bid announcement stage of the bid item publishing;
entering a bid announcement publishing stage of the project, filling out a bid announcement of the project by a bid signer or an agency, and submitting the bid announcement; the method comprises the steps that a bid announcement of an item to be checked is received by a bid supervision platform background, 2-level checking is carried out on the bid announcement, namely an initial checking stage and a review stage, each checking stage is responsible for checking supervision by staff, each staff has a CA lock, the CA lock is used for checking when checking, a CA digital certificate is required to be locally downloaded by the CA lock, and staff certificate binding is carried out on a CA binding module of the bid supervision platform after the CA digital certificate is started, so that each staff corresponds to a unique CA lock, the security when checking is ensured, the next checking stage can be carried out only after the checking is passed, the next link of a bid flow is carried out after the 2-level checking is finished, the bidding document uploading stage is not required, and the step III is carried out after uploading;
step three, extracting and supervising in the extraction stage of the bidding project expert;
setting an extraction expert rule on a bid supervision platform by a signer or an agency structure within 24 hours before the bid opening time set by a project, wherein the extraction expert rule is that the signer or the agency determines the expertise and the number of persons of the extraction expert and units needing to be avoided according to the technical field related to the bid project, the bid supervision platform carries out the extraction of the bid evaluation expert according to the extraction expert rule after the setting of the extraction expert rule is finished, the expert extraction is finished in an expert extraction system of the bid supervision platform, the expert extraction system is called, the expert is automatically extracted in a platform expert library according to the set extraction rule, a call function module on the bid supervision platform is called after the extraction of the expert is finished, the call function module automatically calls the expert to participate in bid evaluation activities according to the extracted expert information, the call process is automatically finished by the bid supervision platform, the fact that the expert extraction is not interfered by human factors is ensured, and the expert is informed to enter a fourth step after the extraction is finished;
the extraction function module is realized by using an SSWNF algorithm, and comprises the following specific steps:
before starting extraction, the supervisor initializes the extracted times of each supervisor in the supervisor library, namely extraNums i In the extraction process, counting the extraction times of each supervisor, and if each supervisor is extracted once, extraNums of the supervisor is recorded i Adding 1 and storing the data base to refresh in real time;
sorting the extracted times of the supervision personnel in the supervision personnel library from small to large, and comparing the unique identifiers of the supervision personnel with each other to obtain an extracted times sequence extractNumsList of the supervision personnel when the extracted times are the same;
analysis conversion is carried out on the extractNumsList: the extracted sequence obtains a weight sequence of the supervisory personnel as a weight list, the weight value and the specific gravity of each supervisory personnel are calculated according to the weight sequence, the weight level number is the total number total Nums of the extractable supervisory personnel, and the weight calculation is divided into the following two cases:
a) When the number of times of extraction increases monotonically, the weight sequence formula is shown as formula (4-1):
Weight i ＝TotalNums-i i∈[0，TotalNums-1] (4-1)
wherein Weight is i For the weight value of each person, total Nums is the total number of the person, and i represents the j person;
the upper limit of the weight of each supervisor is shown in the formula (4-2):
wherein, weight Top i Representing an upper weight limit of the ith person;
the lower limit of the weight of each supervisor is shown in the formula (4-3):
wherein, weight floor i Representing a lower weight limit for the ith person;
b) If the extracted number is the same in the extracted sequence, the weight of the next is the same as that of the last according to the sequence, and the weight sequence formula is shown as formula (4-4):
the upper limit of the weight of each supervisor at this time is shown in the formula (4-5):
the lower limit of the weight of each supervisor at this time is shown in the formula (4-6):
the weight total value is calculated through the upper and lower limits of the weight of each supervisor, and the weight total value weight calculation formula is as follows (4-7):
calculating the extraction probability P of each supervisor through the upper and lower limit intervals of the weight of each supervisor i As shown in the formula (4-8):
after the extraction probability is calculated, the formula (4-8) for calculating the extraction probability can know that the extraction probability is inversely proportional to the personnel weight, the extraction probability of personnel with heavy weight is dynamically reduced, the extraction probability of personnel with small weight is dynamically improved, the weight is determined by the number of times that the personnel is extracted, each individual is uniformly extracted, the situation that the personnel is extracted is dynamically adjusted, so that the personnel extraction tends to be even more rapidly, and the purpose of the algorithm is to accelerate the iteration of the extraction number of times, so that the extraction tends to be even more rapidly.
The SSWNF algorithm is used as a random extraction algorithm, and comprises the following steps:
1) The initial scene is that the individual to be extracted is not extracted, and the extracted number extranums of each individual is set i＝0 ；
2) Each time an individual is extracted, the number of extracted extranums to be extracted i +1；
3) Sequentially extracting, and updating the extracted number extranums of each individual according to the database extraction record i ；
4) Obtaining the total number of extractable individuals to obtain the number of weight levels TotalNums;
5) Sequencing the individual libraries according to the number of extracted individuals, wherein the extracted individuals are placed in front, if the extracted individuals are the same, dictionary sequence comparison is performed by comparing unique marks of the individuals, so that an extractable individual sequencing sequence is obtained;
6) Calculating the weight and specific gravity of each individual, and calculating the total weight value: firstly, setting the weight total value to 0, traversing the sequencing sequence from small to large of an individual, and obtaining a weight sequence from large to small; setting the highest weight of the first person as TotalNums, wherein the upper limit of the weight is TotalNums+1, and the lower limit of the weight is 1; calculating the upper and lower limits of weights of the following individuals according to whether the weight sequence is monotonically increased, and if the weight sequence is monotonically increased, calling a formula (4-2) to calculate the upper limit of the weights of the supervisory personnel, and calling a formula (4-3) to calculate the lower limit of the weights of the supervisory personnel; if the value is not monotonically increased, the upper limit of the weight of the supervision personnel is calculated by the formula (4-5), and the lower limit of the weight of the supervision personnel is calculated by the formula (4-6) is called;
7) Calculating a weight extreme value weight of the extractable supervisory personnel, calling a formula (4-7) to obtain the weight extreme value, and taking the weight extreme value as a base of calculation probability; and (4) calling a formula (4-8) to calculate the extraction probability of each supervisor, and extracting the supervisor according to the probability.
Step four, an improved generation mechanism of label-opening field label-monitoring personnel;
and the same algorithm is adopted to extract the bidding projects, then the algorithm is used to extract the prison staff, the bidding project extraction module and the prison staff extraction module on the bidding supervision platform call platform are used to automatically optimize and adjust according to the times of extracting the bidding projects and the prison staff, and specifically, the SSWNF algorithm is used to extract the bidding projects and the prison staff. In the random extraction process, the method feeds back the extracted result condition, dynamically adjusts the individual extraction probability according to the fed back result, reduces the probability of being extracted for a plurality of times, improves the individual extraction probability of being extracted for a small number of times, and tends to be extracted for each individual uniformly.
The probability that the bidding project and the prison staff are extracted is the same, and as the platform is continuously extracted, when the platform extracts a bidding project and the prison staff, extraNums of the project and the prison staff are extracted i 1 is added, and the mechanism of the functional module is the extraNums of the project or the prison staff i The larger the probability of extracting the project or the prison staff is, the more random and fair the extraction of the prison staff is achieved through the mechanism, and the step five is carried out after the drawing of the bid-picking project and the prison staff is finished;
step five, supervision in bid-opening field bid-evaluation stage of bid-tendering project
In the stage that the project arrives at the bid-opening site and bid evaluation, the bid-opening site supervision platform calls an audio-video bidirectional transmission module, the audio-video bidirectional transmission module synchronously transmits the condition of the bid-opening site to a large screen of a management department in a video mode, and management department staff can perform video supervision of the bid-opening site, and the bid-opening site supervision staff extracted in the step four performs bid-opening supervision on site to ensure fairness and fairness of the bid-opening process;
step six, marking the public stage supervision in the bid-signing project
When the project reaches a bid marking stage, a signer or an agency issues a bid marking in the stage and submits the bid marking, and a background of a bid supervision and supervision platform receives the bid marking to be checked; and 2-level auditing is carried out on the signings, each stage is responsible for auditing and supervision by staff, each staff has a lock of an electronic bidding digital certificate and an electronic signature, namely a CA lock, the CA lock is used for auditing during auditing, the next auditing stage can be entered after the auditing passes, and the signing project can be issued after the auditing is completed after the 2-level auditing passes.
Embodiments of the invention are as follows:
step one, auditing and supervising in the recording stage of the bid-inviting project;
filling in a project record application form on a bidding supervision platform by a tenderer, and submitting an application; after receiving a filing application of a tenderer, the background of the tendering supervision platform carries out 5-level auditing on the filing application, and the next link of the tendering flow can be entered after the auditing is finished;
secondly, auditing and publishing in a bid announcement phase of the bid item publishing;
after the project passes the 5-level record audit, the project enters a bid announcement publishing stage; filling out a bid announcement of the project by a bid tenderer or agency and submitting the bid announcement; the bid supervision platform background receives bid announcement of the project to be audited, and carries out 2-level audit on the bid announcement, and the next link of the bid flow can be entered after the audit is completed;
step three, extracting and supervising in the extraction stage of the bidding project expert;
the day before the time reaches the time of the opening label set by the project, the extraction of the label evaluation expert is needed; the method comprises the steps that a bid evaluation expert for extracting the project needs to be carried out according to extraction rules set by a bid-recruiter or an agency, the extraction rules set the number and professional conditions of the extraction expert for the project and the evaded expert and units, and the expert extraction adopts an automatic extraction system provided on a platform to be combined with a voice outbound system, so that the expert extraction is ensured to be free from interference of human factors;
step four, an improved generation mechanism of label-opening field label-monitoring personnel;
adopting a double random extraction system to randomly extract the bid-recruitment items and the bid-supervision personnel; the random extraction of the prison staff is carried out in a weighted mode, so that the extraction of the prison staff is more random and fair;
step five, supervision in bid-opening field bid-evaluation stage of bid-tendering project
In the stage that the project reaches the bid-opening site bid evaluation stage, an audio and video bidirectional transmission system is adopted to conduct remote video supervision on the site bid evaluation condition, and bid evaluation supervision is conducted on site by combining with bid-opening site supervision personnel adopting double random extraction, so that fairness and fairness in the bid evaluation process are guaranteed;
step six, marking the public stage supervision in the bid-signing project
The signer or the agency issues the bid label at the stage and submits the label, and the bid supervision platform background receives the bid label to be checked; the posting will be subjected to a level 2 audit and the posting will be released after the audit is completed.
Claims (1)
1. A bid and bid supervision flow method for strengthening supervision is characterized by comprising the following steps:
step one, auditing and supervising in the recording stage of the bid-inviting project;
the tenderer registers on the tendering supervision platform, logs in the tendering supervision platform after passing the audit, provides the function of online tendering activities, fills in project record application forms on the tendering supervision platform and submits the application; after receiving a record application of a bidding person, a background of the bidding supervision platform carries out n-level auditing on the record application, wherein n is more than or equal to 5, each auditing stage is responsible for auditing and supervision by staff, each staff has a lock of an electronic bidding digital certificate and an electronic signature, namely a CA lock, the staff has to use the CA lock for auditing when auditing, the next auditing stage can be carried out after the auditing is passed, and the n-level auditing is carried out after the n-level auditing is completed;
secondly, auditing and publishing in a bid announcement stage of the bid item publishing;
entering a bid announcement publishing stage of the project, filling out the bid announcement of the project by a bid tenderer or agency, and submitting the bid announcement of the project; the method comprises the steps that a bid supervision platform background receives bid notices of items to be checked, 2-level checking is carried out on the bid notices of the items to be checked, the checking stage comprises an initial checking stage and a review stage, each checking stage is responsible for checking and supervising by staff, each staff has a CA lock, the CA lock is used for checking when checking, a CA digital certificate is required to be downloaded locally by the CA lock, after the CA digital certificate is started, staff certificate binding is carried out on a CA binding module of the bid supervision platform, each staff corresponds to a unique CA lock, the next checking stage can be carried out after the checking is passed, the next checking stage is carried out after the 2-level checking is passed, the step of uploading of a bid document is carried out, and the step of step three is carried out after uploading is finished;
step three, extracting and supervising in the extraction stage of the bidding project expert;
within 24 hours before the bid opening time of project setting, a tenderer or proxy structure sets an extraction expert rule on a bid supervision and supervision platform, wherein the extraction expert rule is that the tenderer or proxy mechanism determines the expertise and the number of people of an extraction expert and units needing to be avoided according to the technical field related to the bid project, after the extraction expert rule is set, the bid supervision and supervision platform carries out the extraction of bid evaluation experts according to the extraction expert rule, the expert extraction is completed in a bid supervision and supervision platform expert extraction system, an expert extraction system automatically extracts qualified experts in a platform expert library according to the set extraction rule, a call function module on the bid supervision and supervision platform is called after the expert is extracted, the call function module automatically calls the expert to participate in the bid evaluation activity according to the extracted expert information, the call process is automatically completed by the bid supervision and supervision platform, the fact that the expert extraction is not interfered by human factors is ensured, and the expert is informed to enter step four after the extraction is completed;
the expert extraction system is realized by using an SSWNF algorithm, and comprises the following specific steps:
before starting the extraction, the supervisor initializes the extracted times of each supervisor in the supervisor library, namely extracted times extractNums i In the extraction process, counting the extraction times of each supervisor, and if each supervisor is extracted once, extraNums of the supervisor is recorded i Adding 1 and storing the data base to refresh in real time;
sorting the extracted times of the supervision personnel in the supervision personnel library from small to large, and comparing the word order of the unique identifiers of the supervision personnel if the extracted times are the same to obtain an extracted times sequence extractNumsList of the supervision personnel;
analysis conversion is carried out on the extractNumsList: the extracted sequence obtains a weight sequence of the supervisory personnel as a weight list, the weight value of each supervisory personnel is calculated according to the weight sequence, the total number TotalNums of the extractable supervisory personnel is firstly obtained, and the weight value of each supervisory personnel is calculated in the following two cases:
a) When the number of times of extraction increases monotonically, the weight sequence formula is shown as formula (4-1):
Weight i ＝TotalNums-i i∈[0，TotalNums-1] (4-1)
wherein Weight is i For the weight of each person, totalNums is the total number of extractable monitoring personnel, and i represents the ith monitoring personnel;
the upper limit of the weight of each supervisor is shown in the formula (4-2):
wherein, weight Top i Representing the upper limit of the weight of the ith supervisor;
the lower limit of the weight of each supervisor is shown in the formula (4-3):
wherein, weight floor i Representing the lower limit of the weight of the ith supervisor;
b) If the extracted number is the same in the extracted number sequence, the weight of the next person is the same as the previous person according to the extracted number sequence, and the weight sequence formula is shown in formula (4-4):
the upper limit of the weight of each supervisor at this time is shown in the formula (4-5):
the lower limit of the weight of each supervisor at this time is shown in the formula (4-6):
the weight total value is calculated through the upper and lower limits of the weight of each supervisor, and the weight total value weight calculation formula is as follows (4-7):
calculating the extraction probability P of each supervisor through the upper and lower limit intervals of the weight of each supervisor i As shown in the formula (4-8):
step four, an improved generation mechanism of label-opening field label-monitoring personnel;
the method comprises the steps of adopting an SSWNF algorithm to extract a bid item, then adopting the SSWNF algorithm to extract a bid-opening field label-monitoring person, calling a bid item extraction module and a label-monitoring person extraction module on a bid-bidding supervision platform, and carrying out automatic optimization adjustment by the bid item extraction module and the label-monitoring person extraction module according to the times of extracting the bid item and the bid-opening field label-monitoring person, and adopting the SSWNF algorithm to extract the bid item and the bid-opening field label-monitoring person; after the sign project and the sign personnel on the sign opening site are extracted, entering a step five;
step five, supervising in a bid-opening field bid-evaluating stage of a bid-opening project;
in the stage that the project reaches the bid-opening site and bid evaluation, the bid-opening site supervision platform calls an audio-video bidirectional transmission module, the audio-video bidirectional transmission module synchronously transmits the bid-evaluation site conditions to a large screen of a management department in a video mode, management department staff performs video supervision of the bid-opening site, and bid-opening site supervision staff extracted in the step four performs bid-opening supervision on site;
step six, marking a display stage supervision in the bidding project;
when the project reaches the bid indication stage, the signer or the agency issues the bid indication in the bid indication stage, submits the bid indication, and the background of the bid supervision and supervision platform receives the bid indication to be audited; and 2-level auditing is carried out on the publicity to be audited, each stage is responsible for auditing and supervision by staff, each staff has an electronic bidding digital certificate and an electronic signature lock, namely a CA lock, the CA lock is used for auditing during auditing, the next auditing stage can be entered after the auditing passes, and the bid-bidding project can be issued after the auditing is completed after the 2-level auditing passes.
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| CN111815281B (en) * | 2020-07-09 | 2021-03-26 | 北京中百信信息技术股份有限公司 | Information system project supervision project bid management system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101561895A (en) * | 2008-04-16 | 2009-10-21 | 姜玉娟 | Method for remote on-line invitation, submission, evaluation and supervision for bids in network |
| CN107341619A (en) * | 2017-07-22 | 2017-11-10 | 江苏省鸿源招标代理股份有限公司 | A kind of bid information acquisition system and method |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101561895A (en) * | 2008-04-16 | 2009-10-21 | 姜玉娟 | Method for remote on-line invitation, submission, evaluation and supervision for bids in network |
| CN107341619A (en) * | 2017-07-22 | 2017-11-10 | 江苏省鸿源招标代理股份有限公司 | A kind of bid information acquisition system and method |
Non-Patent Citations (1)
| Title |
|---|
| 江西电信（非依法必须招标项目）电子招标投标交易平台建设研究;李海涛;《中国优秀硕士学位论文全文数据库 经济与管理科学辑》;中国学术期刊（光盘版）电子杂志社;20180615(第06期);全文 * |
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