A project cost processing system

Abstract

The invention discloses a system for processing engineering cost business, belonging to the technical field of data processing management; it is used to solve the technical problem that engineering cost contract formulation business cannot be automatically formulated and multi-dimensional optimization and improvement cannot be implemented in the existing scheme; by utilizing the engineering cost contract database constructed by existing shared data to automatically search and screen according to the engineering type to obtain all qualified engineering cost sample contracts, and determine to obtain the selected draft through target personnel selection; by integrating and processing the sample remark data associated with all the same engineering cost sample contracts, calculating and analyzing the impact degree and impact analysis value of different sample remark regulations, obtaining the remark regulations in the selected draft in the early stage for dynamic supplement and improvement; obtaining the improved transition draft and the processed sample dispute handling table to perform risk avoidance analysis and mark supplement on all the remark regulations in the improved transition draft.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing management, and in particular to a system for processing engineering cost business. Background Art

[0002] Engineering cost management business usually includes budgeting, cost control, preparation of bill of quantities, engineering cost consulting, etc. for construction or engineering projects. The goal of engineering cost management business is to ensure that the project is completed on time, with quality and quantity, and to minimize the construction cost of the project through comprehensive management and control of engineering costs.

[0003] When the existing engineering cost processing solutions are implemented, when formulating engineering cost contracts, due to the existence of data islands, various loopholes exist in the manually formulated engineering cost contracts, which in turn lead to various disputes and lawsuits in the later stage of the project, affecting the implementation progress of the project and the mental and financial losses of the users. There is a defect that the engineering cost contract formulation business is automatically formulated and cannot implement multi-dimensional optimization and improvement. Summary of the invention

[0004] The purpose of the present invention is to provide a construction cost business processing system for solving the technical problems in existing solutions that construction cost contract formulation business cannot be automatically formulated and multi-dimensional optimization and improvement cannot be implemented.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A construction cost business processing system, comprising:

[0007] The engineering cost contract draft determination module is used to search and filter the engineering cost contract database according to the engineering type of the engineering cost and obtain several engineering cost sample contracts, perform privacy protection on several engineering cost sample contracts and push them to the target personnel for selection, and mark the engineering cost sample contracts selected by the target personnel as the selected draft;

[0008] The contract draft note regulations improvement module is used to integrate and process the sample note data associated with several engineering cost sample contracts, obtain the sample note regulations sorting table, and use the sample note regulations sorting table to dynamically supplement and improve the note regulations in the selected draft to obtain a perfect transitional draft;

[0009] The contract improvement transition draft risk assessment module is used to integrate and process all the same engineering cost contract dispute data according to the engineering type of the engineering cost, obtain a sample dispute handling form, and use the sample dispute handling form to identify risks, mark, store and update all the notes in the improvement transition draft, obtain the final contract draft and automatically send it to all participants for review.

[0010] Preferably, the engineering cost contract database pre-stores all engineering cost sample contracts associated with different engineering types.

[0011] Preferably, the keywords of the remark regulations are sequentially identified and combined for the retrieved several sample contracts of the engineering cost, so as to obtain the sample remark regulations data;

[0012] The sample remark regulations data associated with all engineering cost sample contracts are combined to obtain the sample remark regulations combined data set.

[0013] Preferably, similarity calculation is performed on all sample note regulations in the sample note regulation combination data set in turn, and two sample note regulations corresponding to similarities greater than a similarity threshold are marked as sample note similar regulations, and the total number of similar regulations corresponding to the sample note similar regulations is increased by one;

[0014] De-duplicate all similar clauses in sample notes, and extract the total number of similar clauses associated with all similar clauses in sample notes after de-duplicate processing and mark them as similarity weights;

[0015] All sample notes are sorted in descending order according to the similarity weight values ​​and combined to obtain a sample notes sorting table;

[0016] When the sample note regulations ranking table is used to dynamically supplement and improve the note regulations in the selected draft, the similarity weight associated with the ranked sample note regulations in the sample note regulations ranking table is obtained and the corresponding occurrence influence a is calculated by the formula a=αi / N; wherein αi is the similarity weight associated with the ranked sample note regulations, i is the ranked sample note regulations, i=1, 2, 3,..., n; n is a positive integer; N is the total number of all sample contracts of the same target type.

[0017] Preferably, the occurrence impact degree is input into a pre-built occurrence impact identification model for data analysis and outputting a corresponding impact analysis value;

[0018] Among them, the impact analysis value includes the values ​​of 0, 1, and 2, and is respectively associated with no impact risk level, low impact risk level, and medium impact risk level;

[0019] The sample remark regulations sorted in the sample remark regulations sorting table are updated with the risk levels corresponding to the associated impact analysis values ​​in sequence, and the sample remark regulations sorted in the sample remark regulations sorting table after the updated risk levels are added to the selected draft in sequence to improve the remark regulations to obtain a perfect transitional draft, and the impact analysis values ​​are used to perform differentiated impact markings and prompts when supplementing the sample remark regulations.

[0020] Preferably, the expression that affects the identification model is:

[0021] Where a′ is the standard value of the impact degree.

[0022] Preferably, the name of the improved transitional draft is obtained and set as the target term, and the target term is traversed and searched in a public legal dispute database to obtain target contract dispute data;

[0023] When processing the target contract dispute data, all the contract dispute causes in the target contract dispute data are counted, and keyword recognition and extraction combinations are performed on different contract dispute causes in turn to obtain contract dispute cause entries, and the contract dispute cause entries are traversed and matched with several sample contract dispute cause entries pre-stored in the dispute association database in turn.

[0024] Preferably, if there is no sample contract dispute cause entry that is identical to the contract dispute cause entry, a useless instruction is generated and the corresponding contract dispute cause is marked as a useless contract dispute;

[0025] If there is a sample contract dispute cause entry that is identical to the contract dispute cause entry, a useful instruction is generated and the corresponding contract dispute cause is marked as a useful contract dispute, and at the same time, the dispute regulations associated with the useful contract dispute corresponding to the same sample contract dispute cause entry are obtained;

[0026] Arrange and combine all dispute regulations in the order of traversal matching to obtain a sample dispute handling table;

[0027] Perform a regulation matching analysis on the dispute regulations in the sample dispute handling table through a pre-built term matching analysis model and output a regulation matching analysis value;

[0028] The rule matching analysis value includes a numerical value of 0 or 1.

[0029] Preferably, when risk identification, marking, storage and updating are performed on all the remark regulations in the improved transition draft according to the regulation matching analysis value, the risk level associated with the same dispute regulations already existing in the improved transition draft is updated to a high risk level according to the regulation matching analysis value with a value of 0;

[0030] And, according to the regulation matching analysis value of 1, the corresponding dispute regulations are added to the improved transitional draft and associated with the risk level of the high risk level;

[0031] The supplemented, updated and improved transition draft is marked as the final contract draft and automatically sent to all participants for review.

[0032] Preferably, the expression of the term matching analysis model is:

[0033]

[0034] Where b is the dispute clause in the sample dispute resolution form.

[0035] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0036] The present invention utilizes the engineering cost contract database constructed by using existing shared data to automatically search and filter according to the project type to obtain all qualified engineering cost sample contracts, and obtains the selected draft through target personnel selection, which can provide reliable data support for the content supplement of the subsequent selected draft and risk identification and management.

[0037] The present invention integrates and processes the sample remark data associated with all identical engineering cost sample contracts to obtain a sample remark regulations ranking table, thereby realizing the collection and organization of existing sample remark data of the same engineering type, and through the calculation and analysis of the impact degree and impact analysis value of different sample remark regulations, the existing sample remark regulations can be targetedly processed, analyzed and marked, and the sample remark regulations in the selected draft can be dynamically supplemented and improved by using the sample remark regulations ranking table, thereby improving the processing effect of automatically supplementing and improving the content of the selected draft in terms of the remark regulations.

[0038] The present invention obtains a perfect transition draft and a sample dispute handling table by dynamically supplementing and improving the remark regulations in the selected first draft, and uses the dispute regulations in the sample dispute handling table to perform risk avoidance analysis and mark supplementation on all the remark regulations in the perfect transition draft. It can realize high-risk mark update for high-risk regulations that have been supplemented in the previous period, and automatically supplement and improve high-risk regulations that have not been supplemented in the previous period, and realizes automatic processing of the content of legal risk regulations in the perfect transition draft from the aspect of legal dispute big data, thereby improving the diversity and reliability of risk management of engineering cost contract formulation business. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The present invention will be further described below in conjunction with the accompanying drawings.

[0040] Figure 1 The present invention is a principle block diagram of a construction cost business processing system. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary operation and maintenance personnel in this field without creative work are within the scope of protection of the present invention.

[0042] like Figure 1 As shown, the present invention is a system for processing engineering cost business, including an engineering cost contract draft determination module, a contract draft remark regulation improvement module and a contract improvement transition draft risk assessment module;

[0043] The engineering cost contract draft determination module is used to search and filter the engineering cost contract database according to the engineering type of the engineering cost and obtain several engineering cost sample contracts, perform privacy protection on several engineering cost sample contracts and push them to the target personnel for selection, and mark the engineering cost sample contracts selected by the target personnel as the selected draft;

[0044] Among them, the engineering cost contract database pre-stores all engineering cost sample contracts associated with different engineering types, which can be uploaded and shared by professionals in this field with the authorization of the customer;

[0045] In addition, de-privacy processing is used to scan the sample contract of the engineering cost and identify and delete all underlined contents in the sample contract of the engineering cost through OCR technology; the target person is the customer;

[0046] In an embodiment of the present invention, by utilizing the engineering cost contract database constructed by using existing shared data, all qualified engineering cost sample contracts are automatically retrieved and screened according to the engineering type, and the selected draft is obtained through target personnel selection, which can provide reliable data support for the content supplement of the subsequent selected draft and risk identification and management.

[0047] The contract draft note regulations improvement module is used to integrate and process the sample note data associated with several engineering cost sample contracts, obtain the sample note regulations sorting table, and use the sample note regulations sorting table to dynamically supplement and improve the note regulations in the selected draft to obtain a perfect transitional draft; including:

[0048] The keywords of the remark regulations are identified and combined in turn for several sample contracts of engineering cost retrieved, so as to obtain the sample remark regulations data;

[0049] Among them, the keyword recognition of the remark regulations is an existing conventional technical solution, and the specific implementation steps are not repeated here;

[0050] Combine the sample remark regulations data associated with all engineering cost sample contracts to obtain a sample remark regulations combined data set;

[0051] Calculate the similarity of all sample note regulations in the sample note regulations combination data set in turn, and mark the two sample note regulations corresponding to the similarity greater than the similarity threshold as sample note similar regulations, and add one to the total number of similar regulations corresponding to the sample note similar regulations;

[0052] In the embodiment of the present invention, when similarity calculation is performed, different sample notes are processed in turn by existing text preprocessing technology, and keyword recognition and extraction are performed on the processed sample notes by keyword recognition technology, and the keywords are combined to obtain a set of notes keyword;

[0053] The remark regulation keyword set is sequentially matched with the remark regulation keyword sets associated with all the remaining sample remark regulations, the total number of identical keywords N1 is counted, and the similarity X between the remark regulation keyword set and the matched remark regulation keyword set is calculated by the formula X=N1 / N0; wherein N0 is the total number of all keywords in the remark regulation keyword set that is actively matched; the similarity threshold can be determined by professional technicians in this field, or based on the matching test results of the sample remark regulation keyword set in the early stage;

[0054] De-duplicate all similar clauses in sample notes, and extract the total number of similar clauses associated with all similar clauses in sample notes after de-duplicate processing and mark them as similarity weights;

[0055] All sample notes are sorted in descending order according to the similarity weight values ​​and combined to obtain a sample notes sorting table;

[0056] When dynamically supplementing and improving the notes regulations in the selected draft using the sample notes regulations ranking table, obtain the similarity weight associated with the ranked sample notes regulations in the sample notes regulations ranking table and calculate the corresponding occurrence influence a through the formula a=αi / N; where αi is the similarity weight associated with the ranked sample notes regulations, i is the ranked sample notes regulations, i=1, 2, 3, ..., n; n is a positive integer; N is the total number of all sample contracts of the same type as the target;

[0057] Input the occurrence impact degree into the pre-built occurrence impact identification model for data analysis and output the corresponding impact analysis value;

[0058] Among them, the expression that affects the identification model is:

[0059] In the formula, a′ is the standard value of the occurrence impact, which is determined according to the median value corresponding to all occurrence impacts;

[0060] It should be noted that the impact analysis value includes the values ​​of 0, 1, and 2, and is associated with no impact risk level, low impact risk level, and medium impact risk level, respectively;

[0061] The sample notes regulations sorted in the sample notes regulations sorting table are updated with the risk levels corresponding to the associated impact analysis values ​​in sequence, and the sample notes regulations sorted in the sample notes regulations sorting table after the risk levels are updated are added to the selected first draft in sequence to improve the notes regulations to obtain a perfect transitional draft, and the impact analysis values ​​are used to perform differentiated impact marks and prompts when supplementing the sample notes regulations;

[0062] In the embodiment of the present invention, by integrating and processing the sample note data associated with all the same engineering cost sample contracts, a sample note regulations ranking table is obtained, thereby realizing the collection and organization of existing sample note data of the same engineering type, and by calculating and analyzing the occurrence impact and impact analysis value of different sample note regulations, the existing sample note regulations can be targetedly processed, analyzed and marked, and the sample note regulations ranking table is used to dynamically supplement and improve the note regulations in the selected draft, thereby improving the processing effect of automatically supplementing and improving the content of the selected draft in terms of the note regulations.

[0063] The contract improvement transition draft risk assessment module is used to integrate and process all the same engineering cost contract dispute data according to the engineering type of the engineering cost, obtain a sample dispute handling table, and use the sample dispute handling table to identify risks, mark, store and update all the notes in the improvement transition draft, obtain the final contract and automatically send it to all participants for review; including:

[0064] Obtain the name of the improved transitional draft and set it as the target term, and traverse and search the target term in the public legal dispute database to obtain the target contract dispute data; the legal dispute database can be constructed based on the existing engineering legal dispute big data;

[0065] When processing the target contract dispute data, all contract dispute causes in the target contract dispute data are counted, and keyword recognition and extraction combinations are performed on different contract dispute causes in turn to obtain contract dispute cause terms, and the contract dispute cause terms are traversed and matched with a number of sample contract dispute cause terms pre-stored in the dispute association database in turn;

[0066] Among them, a number of sample contract dispute cause terms are pre-stored in the dispute association database, and the sample contract dispute cause terms are pre-associated with dispute regulations. The sample contract dispute cause terms and the associated dispute regulations are collated and shared by professional and technical personnel in the corresponding fields;

[0067] If there is no sample contract dispute cause entry that is identical to the contract dispute cause entry, a useless instruction is generated and the corresponding contract dispute cause is marked as a useless contract dispute;

[0068] If there is a sample contract dispute cause entry that is identical to the contract dispute cause entry, a useful instruction is generated and the corresponding contract dispute cause is marked as a useful contract dispute, and at the same time, the dispute regulations associated with the useful contract dispute corresponding to the same sample contract dispute cause entry are obtained;

[0069] Arrange and combine all dispute regulations in the order of traversal matching to obtain a sample dispute handling table;

[0070] In an embodiment of the present invention, by retrieving and processing all existing legal dispute data related to the improvement of the transition draft, and matching and analyzing the processed contract dispute cause entries to determine whether the corresponding legal dispute data has risk utilization value, reliable data support can be provided for the subsequent updating and supplementation of regulation risks that may or may not exist in the improvement of the transition draft.

[0071] Perform a regulation matching analysis on the dispute regulations in the sample dispute handling table through a pre-built term matching analysis model and output a regulation matching analysis value;

[0072] Among them, the expression of the term matching analysis model is:

[0073]

[0074] Where b is the dispute regulation in the sample dispute resolution table;

[0075] In addition, the regulation match analysis value contains a value of 0 or 1;

[0076] When risk identification, marking, storage and updating are performed on all the remark regulations in the improved transition draft using the dispute regulations in the sample dispute handling table according to the regulation matching analysis value, the risk level associated with the same dispute regulations that already exist in the improved transition draft is updated to a high risk level according to the regulation matching analysis value of 0;

[0077] And, according to the regulation matching analysis value of 1, the corresponding dispute regulations are added to the improved transitional draft and associated with the risk level of the high risk level;

[0078] The supplemented, updated and improved transition draft is marked as the final contract draft and automatically sent to all participants for review.

[0079] In an embodiment of the present invention, a perfect transition draft and a sample dispute handling table for processing are obtained by dynamically supplementing and improving the remark regulations in the selected first draft, and the dispute regulations in the sample dispute handling table are used to perform risk avoidance analysis and mark supplementation on all the remark regulations in the perfect transition draft. This can achieve high-risk mark update for high-risk regulations that have been supplemented in the previous period, and automatic supplementation and improvement for high-risk regulations that have not been supplemented in the previous period, thereby achieving automatic processing of the content of legal risk regulations in the perfect transition draft from the perspective of legal dispute big data, and improving the diversity and reliability of risk management in the construction cost contract formulation business.

[0080] In the several embodiments provided by the present invention, it should be understood that the disclosed modules can be implemented in other ways. For example, the above-described embodiments of the invention are only illustrative, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.

[0081] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0082] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0083] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the basic features of the present invention.

[0084] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, ordinary operation and maintenance personnel in the field should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A construction cost business processing system, characterized in that: include: The engineering cost contract draft determination module is used to search and filter the engineering cost contract database according to the engineering type of the engineering cost and obtain several engineering cost sample contracts, perform privacy protection on several engineering cost sample contracts and push them to the target personnel for selection, and mark the engineering cost sample contracts selected by the target personnel as the selected draft; The contract draft note regulations improvement module is used to integrate and process the sample note data associated with several engineering cost sample contracts, obtain the sample note regulations sorting table, and use the sample note regulations sorting table to dynamically supplement and improve the note regulations in the selected draft to obtain a perfect transitional draft; Among them, the similarity of all sample remark regulations in the sample remark regulations combined data set is calculated in turn, and the two sample remark regulations corresponding to the similarity greater than the similarity threshold are marked as sample remark similar regulations, and the total number of similar regulations corresponding to the sample remark similar regulations is increased by one; All similar clauses in sample notes are deduplicated, and the total number of similar clauses associated with all similar clauses in sample notes after deduplication is extracted in sequence and marked as similarity weights; All sample notes are sorted in descending order according to the similarity weight values ​​and combined to obtain a sample notes sorting table; When dynamically supplementing and improving the notes regulations in the selected draft using the sample notes regulations ranking table, obtain the similarity weight associated with the ranked sample notes regulations in the sample notes regulations ranking table and calculate the corresponding occurrence influence a through the formula a=αi / N; where αi is the similarity weight associated with the ranked sample notes regulations, i is the ranked sample notes regulations, i=1, 2, 3, ..., n; n is a positive integer; N is the total number of all sample contracts of the same type as the target; Input the occurrence impact degree into the pre-built occurrence impact identification model for data analysis and output the corresponding impact analysis value; Among them, the impact analysis value includes the values ​​of 0, 1, and 2, and is respectively associated with no impact risk level, low impact risk level, and medium impact risk level; The sample notes regulations sorted in the sample notes regulations sorting table are updated with the risk levels corresponding to the associated impact analysis values ​​in sequence, and the sample notes regulations sorted in the sample notes regulations sorting table after the risk levels are updated are added to the selected first draft in sequence to improve the notes regulations to obtain a perfect transitional draft, and the impact analysis values ​​are used to perform differentiated impact marks and prompts when supplementing the sample notes regulations; The contract improvement transition draft risk assessment module is used to integrate and process all the same engineering cost contract dispute data according to the engineering type of the engineering cost, obtain a sample dispute handling table, and use the sample dispute handling table to identify risks, mark, store and update all the notes in the improvement transition draft, obtain the final contract draft and automatically send it to all participants for review; Among them, the name of the improved transitional draft is obtained and set as the target term, and the target term is traversed and searched in the public legal dispute database to obtain the target contract dispute data; When processing the target contract dispute data, all contract dispute causes in the target contract dispute data are counted, and keyword recognition and extraction combinations are performed on different contract dispute causes in turn to obtain contract dispute cause terms, and the contract dispute cause terms are traversed and matched with a number of sample contract dispute cause terms pre-stored in the dispute association database in turn; If there is no sample contract dispute cause entry that is identical to the contract dispute cause entry, a useless instruction is generated and the corresponding contract dispute cause is marked as a useless contract dispute; If there is a sample contract dispute cause entry that is identical to the contract dispute cause entry, a useful instruction is generated and the corresponding contract dispute cause is marked as a useful contract dispute, and at the same time, the dispute regulations associated with the useful contract dispute corresponding to the same sample contract dispute cause entry are obtained; Arrange and combine all dispute regulations in the order of traversal matching to obtain a sample dispute handling table; perform regulation matching analysis on the dispute regulations in the sample dispute handling table through a pre-built term matching analysis model and output the regulation matching analysis value; Wherein, the regulation matching analysis value includes a value of 0 or 1; When risk identification, marking, storage and updating are performed on all the remark regulations in the improved transition draft using the dispute regulations in the sample dispute handling table according to the regulation matching analysis value, the risk level associated with the same dispute regulations that already exist in the improved transition draft is updated to a high risk level according to the regulation matching analysis value of 0; And, according to the regulation matching analysis value of 1, the corresponding dispute regulations are added to the improved transitional draft and associated with the risk level of the high risk level; The supplemented, updated and improved transition draft is marked as the final contract draft and automatically sent to all participants for review.

2. A construction cost business processing system according to claim 1, characterized in that: The engineering cost contract database pre-stores all engineering cost sample contracts associated with different engineering types.

3. The engineering cost business processing system according to claim 1 is characterized in that: The keywords of the remark regulations are identified and combined in turn for several sample contracts of engineering cost retrieved, so as to obtain the sample remark regulations data; The sample remark regulations data associated with all engineering cost sample contracts are combined to obtain the sample remark regulations combined data set.

4. The engineering cost business processing system according to claim 1 is characterized in that: The expression that affects the identification model is: Where a′ is the standard value of the impact degree.

5. The engineering cost business processing system according to claim 1 is characterized in that: The expression of the term matching analysis model is: Where b is the dispute clause in the sample dispute resolution form.

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