Multi-dimensional analysis building construction backtracking responsibility determination method and system

Abstract

The invention discloses a multi-dimensional analysis building construction backtracking responsibility determination method and system, and relates to the technical field of multi-data fusion analysis. Obtaining construction standard data and constructors corresponding to each construction stage in the building engineering, constructing a standard responsibility model of the construction stage according to the construction standard data, and constructing a responsibility chain according to the standard responsibility model of each construction stage and the constructors corresponding to each construction stage; building questions are set, and keywords, influence factors and influence coefficients corresponding to the building questions are set; acquiring real-time data of each construction stage regularly, and inputting the real-time data into the standard responsibility model corresponding to the construction stage to generate an error value; setting an input port, obtaining question details input by a user, obtaining a building question corresponding to the question details according to the keyword, and marking the building question as a target question; and generating a responsibility investigation group according to the influence factor, the influence coefficient, the error value and the responsibility chain corresponding to the target problem.

Description

Technical Field

[0001] The present invention relates to the technical field of multi-data fusion analysis, and in particular to a method and system for identifying construction retrospective responsibility through multi-dimensional analysis. Background Art

[0002] In the current social environment, various construction projects often involve many stakeholders, such as design agencies, construction units, regulatory agencies and owners. Due to the increasing complexity and scale of engineering projects, the issue of project responsibility is becoming more and more obvious. Therefore, we need to clearly identify the specific links that lead to quality problems and safety accidents, and find out the corresponding responsible persons, so that we can conduct subsequent relevant quality tracking and responsibility tracing.

[0003] How to accurately locate and identify the construction links that cause problems and the related construction personnel are important issues that we need to address in depth. Summary of the invention

[0004] In order to solve the above problems, the purpose of the present invention is to provide a method and system for determining construction retrospective responsibility based on multi-dimensional analysis.

[0005] The purpose of the present invention can be achieved by the following technical solution: A method for determining construction retrospective responsibility by multi-data fusion analysis, comprising the following steps: Step S1: Obtain construction standard data and construction personnel corresponding to each construction stage in the construction project, build a standard responsibility model for the construction stage based on the construction standard data, and build a responsibility chain based on the standard responsibility model for each construction stage and the construction personnel corresponding to each construction stage; Step S2: setting architectural problems in the construction project, and setting keywords, impact factors and impact coefficients corresponding to the architectural problems; Step S3: regularly obtain real-time data of each construction stage, and input the real-time data into the standard responsibility model corresponding to the construction stage to generate an error value; Step S4: Set an input port to obtain the problem details input by the user, and obtain the building problem corresponding to the problem details based on keywords, and mark the building problem as a target problem; if the target problem does not exist, generate early warning information; generate a accountability group based on the impact factor, impact coefficient, error value and responsibility chain corresponding to the target problem.

[0006] Furthermore, the process of obtaining the construction standard data and construction personnel corresponding to each construction stage in the construction project and constructing the standard responsibility model of the construction stage according to the construction standard data includes: The said construction project consists of several construction phases; The construction phases include the preliminary preparation phase, the foundation construction phase, the main construction phase and the completion acceptance phase; Each construction phase consists of a number of corresponding construction projects; The construction projects corresponding to the preliminary preparation stage include scheme design formulation projects, construction plan formulation projects, construction personnel determination projects, construction material preparation projects, construction site confirmation projects and safety measures confirmation projects; The construction projects corresponding to the foundation construction stage include foundation treatment projects, foundation pouring and enclosure stages, and foundation acceptance projects; The construction projects corresponding to the main construction phase include beam and column casting and reinforcement projects, reinforced concrete casting and consolidation projects, masonry and wall masonry projects and structural acceptance projects; The construction projects corresponding to the completion acceptance stage include completion acceptance projects, document sorting projects and handover projects; Generate a serial number according to the construction stage, and generate a sub-serial number of the construction project corresponding to the construction stage according to the serial number; For example, if the sequence table of the preparatory stage in the construction stage is marked as "A", then the subsequence number of the construction project corresponding to the construction stage is generated according to the sequence number "A", that is, the subsequence number of the scheme design formulation project is marked as "A1", the subsequence number of the construction plan formulation project is marked as "A2", the subsequence number of the construction personnel confirmation project is marked as "A3", the subsequence number of the construction material preparation project is marked as "A4", the subsequence number of the construction site confirmation project is marked as "A5", and the subsequence number of the safety measures confirmation project is marked as "A6"; Obtain the construction standard data corresponding to each construction stage, that is, obtain the construction standard data corresponding to each construction project; The construction standard data includes construction data and document data; The construction data is a drawing used to describe a building during the construction process, i.e., a construction drawing; The file data refers to material data other than construction data, i.e., relevant license qualification certificate documents; Constructing a standard responsibility model for the construction phase according to the construction standard data, wherein the standard responsibility model is composed of a plurality of sub-sequence numbers and a plurality of sub-standard responsibility models, wherein the sub-sequence numbers and the sub-standard responsibility models are in a one-to-one correspondence; Construct sub-standard responsibility models for several construction projects corresponding to the construction stage based on the construction standard data; If the construction standard data is construction data, a three-dimensional coordinate system is constructed, and a construction standard model is constructed according to the construction data; If the construction standard data is file data, a task table is constructed, and the task table includes task items and task details, wherein the task item is the name of the relevant license qualification certificate file, and the task details are the content of the relevant license qualification certificate file. If the task details do not contain the content of the relevant license qualification certificate file, the task details are NULL; It should be noted that it is normal for the task details to not be NULL.

[0007] Furthermore, the process of building a responsibility chain based on the standard responsibility model of each construction stage and the construction personnel corresponding to each construction stage includes: Get the construction worker's work number, recorded as NUM; Get the construction worker's start time, recorded as START_TIME; Get the time when the construction worker left the company, recorded as END_TIME; Get the subsequence number of the construction project that the construction worker is responsible for, recorded as JOB_ID; Generate the responsibility code of the construction worker according to his / her work number, appointment date, departure date and sub-sequence number of the construction project he / she is responsible for; The responsibility code is "JOB_ID+NUM+START_TIME+END_TIME"; It should be noted that if the responsibility code of construction worker A is queried and construction worker A has not resigned, the resignation time of construction worker A is NULL, that is, END_TIME is NULL; It should be further explained that if there is a situation where construction worker B is responsible for two or more construction projects, a corresponding responsibility code is generated, that is, if construction worker B is responsible for n construction projects, then n corresponding responsibility codes are generated; The responsibility chain is composed of several sub-standard responsibility models and several responsibility codes, wherein the sub-standard responsibility model and the responsibility code are in a one-to-many relationship, that is, one sub-standard responsibility model corresponds to n responsibility codes, where n is a positive integer; Obtain the sub-sequence number of the construction project corresponding to the sub-standard model, and mark the sub-sequence number as a key sequence number; obtain a responsibility code whose JOB_ID is equal to the key sequence number, and the responsibility code corresponds to the sub-standard model.

[0008] Furthermore, the process of setting the construction problems in the construction project and setting the keywords, influencing factors and influencing coefficients corresponding to the construction problems includes: Said construction problems include general and other problems; The conventional problems are problems in the construction process that can be identified as the construction project causing the problem; The other problems are problems in the construction process that cannot be determined to have caused the problems; The keywords are words that describe the characteristics of the building problem; The influencing factor is the subsequence number corresponding to the construction project causing the building problem; The impact coefficient is the weight of the impact factor; The impact factors and impact coefficients corresponding to the same building problem are in one-to-one correspondence, and there is no relationship between the impact factors and impact coefficients corresponding to different building problems; The impact factor corresponding to a common problem is the subsequence number of the construction project that can cause the common problem; Set the coincidence threshold; Get the keywords corresponding to other questions and mark them as target keywords; Get the keywords corresponding to the general questions and mark them as object keywords; If the overlap between the object keyword and the target keyword is greater than or equal to the overlap threshold, the conventional question corresponding to the object keyword is marked as a type of other question; otherwise, no operation is required; If there are no other similar problems, a first-level warning message will be generated and sent to the user, who will take corresponding measures; Generate the impact factors and impact coefficients of other problems according to the impact factors and impact coefficients corresponding to other problems of the same category; For example, there are routine questions A, routine questions B, routine questions C, and other questions D; The keywords corresponding to the general question A include keyword A1, keyword A2, ..., keyword A n ; The impact factors corresponding to the conventional problem A include subsequence number A1, subsequence number A2, ..., subsequence number A n ; The influence coefficients corresponding to the conventional problem A include influence coefficient A1, influence coefficient A2, ..., influence coefficient A n ; The keywords corresponding to the general question B include keyword B1, keyword B2, ..., keyword B n ; The impact factors corresponding to the conventional problem B include subsequence number B1, subsequence number B2, ..., subsequence number B n ; The influence coefficients corresponding to the conventional problem B include influence coefficient B1, influence coefficient B2, ..., influence coefficient B n ; The keywords corresponding to the common question C include keyword C1, keyword C2, ..., keyword C n ; The impact factors corresponding to the conventional problem C include subsequence number C1, subsequence number C2, ..., subsequence number Cn ; The influence coefficients corresponding to the common problem C include influence coefficient C1, influence coefficient C2, ..., influence coefficient C n ; Among them, the impact factor and impact coefficient corresponding to the conventional problem A are in one-to-one correspondence, that is, subsequence number A1 corresponds to impact coefficient A1, subsequence number A2 corresponds to impact coefficient A2, ..., subsequence number A n Corresponding influence coefficient A n ; The impact factor and impact coefficient corresponding to the conventional problem B are in one-to-one correspondence; The impact factor and impact coefficient corresponding to the conventional problem C are in one-to-one correspondence; The keywords corresponding to other questions D include keyword D1, keyword D2, ..., keyword D n ; Keyword D1, keyword D2, ..., keyword D n Mark as target keyword; Keyword A1, keyword A2, ..., keyword A n Mark as object keyword A; keyword B1, keyword B2, ..., keyword B n Mark as object keyword B, keyword C1, keyword C2, ..., keyword C n Marked as object keyword C; Obtain the overlap degree A between the target keyword and the object keyword A, obtain the overlap pair B between the target keyword and the object keyword B, and obtain the overlap degree C between the target keyword and the object keyword C; Assume that the overlap degree A is greater than the overlap threshold, the overlap degree B is equal to the overlap threshold, and the overlap degree C is less than the overlap threshold; Mark the general questions A and B as other questions; Obtain the impact factor and impact coefficient corresponding to other problems of the same category, and generate the impact factor and impact coefficient of other problems; that is, obtain the impact factor and impact coefficient corresponding to general problem A, and obtain the impact factor and impact coefficient corresponding to general problem B, and generate the impact factor and impact coefficient of other problem D; The impact factors corresponding to the other problems D are subsequence number A1, subsequence number A2, ..., subsequence number A n , subsequence number B1 Subsequence number B2 Subsequence number B n ; The influence coefficients corresponding to the other problems D are influence coefficient A1, influence coefficient A2, ..., influence coefficient A n , influence coefficient B1, influence coefficient B2, ..., influence coefficient Bn ; If the impact factor corresponding to the conventional problem A is the same as the impact factor corresponding to the conventional problem B, but the impact coefficient corresponding to the conventional problem A is different from the impact coefficient corresponding to the conventional problem B, that is, the subsequence number A i With subsequence number B i Same, but the influence coefficient A i and influence coefficient B i different, a new influence coefficient is generated according to the influence coefficient corresponding to conventional problem A and the influence coefficient corresponding to conventional problem B. The new influence coefficient is .

[0009] Furthermore, real-time data of each construction stage is obtained regularly, and the real-time data is input into the standard responsibility model corresponding to the construction stage. The process of generating the error value includes: Set the collection period; According to the collection cycle, real-time data of each construction stage is regularly obtained, that is, real-time data of each construction project is regularly obtained; It should be noted that when a construction worker leaves, it is necessary to collect real-time data of the construction project that the construction worker is responsible for once; Input the real-time data into the standard responsibility model corresponding to the construction stage, that is, input the real-time data into the sub-standard responsibility model of the corresponding construction project to generate an actual responsibility model; Set the completion of the substandard responsibility model to 100%; Get the actual level of responsibility model completion; Obtain the error value corresponding to the substandard responsibility model according to the degree of completion of the actual responsibility model; The error value=|the degree of completion of the actual responsibility model-100%|.

[0010] Furthermore, an input port is set to obtain the problem details input by the user, and the building problem corresponding to the problem details is obtained according to the keyword, and the building problem is marked as a target problem. If the target problem does not exist, the process of generating early warning information includes: Obtain keywords for architectural issues, that is, obtain keywords for general issues and other issues, and mark the keywords as primary keywords; Obtaining keywords that overlap with the primary keywords in the question details, and marking the keywords as secondary keywords; Obtaining the overlap rate between the keywords corresponding to the conventional questions and the secondary keywords, and marking the overlap rate as the conventional overlap rate; The conventional overlap rate = ; Obtaining the overlap rate between the keywords corresponding to other questions and the secondary keywords, and marking the overlap rate as other overlap rate; The other coincidence rate = ; The target questions include conventional target questions and other target questions; Set general and other thresholds; If the regular overlap rate corresponding to the regular question is greater than or equal to the regular threshold, the regular question is marked as a regular target question; otherwise, no operation is required; If the corresponding other overlap rates of other questions are greater than or equal to other thresholds, then the other questions are marked as other target questions; otherwise, no operation is required; If the target problem does not exist, a second-level warning message is generated and sent to the user, who then handles the situation accordingly.

[0011] Furthermore, the process of generating a accountability group according to the impact factor, impact coefficient, error value and responsibility chain corresponding to the target problem includes: The accountability group is composed of a number of accountability personnel; Obtaining an impact factor and an impact coefficient corresponding to a target problem, marking the impact factor as a target impact factor, and marking the impact coefficient as a target impact coefficient; Obtaining an error value corresponding to the target impact factor, that is, obtaining an error value of the sub-standard responsibility model corresponding to the target impact factor, and marking the error value as a target value; Set general and other coefficients; If the target problem is a conventional target problem, a responsibility value is generated according to the conventional coefficient, the target value and the target influence coefficient, and the responsibility value = ,in, ; If the target problem is other target problems, a responsibility value is generated according to other coefficients, target values ​​and target impact coefficients, and the responsibility value = ,in, ; Obtain a target problem corresponding to a maximum responsibility value, and mark the target problem as a responsibility problem; Obtaining an impact factor corresponding to the accountability issue, and marking a construction project corresponding to the impact factor as an accountability project; According to the responsibility code in the responsibility chain, the construction personnel corresponding to the accountability project are obtained, and the construction personnel are marked as the accountability personnel; For example, the impact factors corresponding to the accountability problem are subsequence number Z1, subsequence number Z2, ..., subsequence number Z n , then subsequence number Z1, subsequence number Z2, ..., subsequence number Z n The corresponding construction projects are marked as accountability projects; Obtain the responsibility code in the responsibility chain, and mark the construction personnel corresponding to the responsibility code whose JOB_ID is equal to the sub-sequence number corresponding to the accountability project as the accountability personnel.

[0012] Furthermore, a construction retrospective responsibility identification system based on multi-data fusion analysis is provided, the system comprising: The standard responsibility model and responsibility chain building module is used to obtain the construction standard data and construction personnel corresponding to each construction stage in the construction project, build the standard responsibility model of the construction stage according to the construction standard data, and build the responsibility chain according to the standard responsibility model of each construction stage and the construction personnel corresponding to each construction stage; A database for storing specific information of a number of construction problems in a construction project, wherein the specific information includes keywords, influencing factors and influencing coefficients; Data acquisition module, used to regularly obtain real-time data at each construction stage; A data processing module is used to input the real-time data into the standard responsibility model corresponding to the construction stage to generate an error value; An input module is used to obtain the problem details input by the user, and obtain the building problem corresponding to the problem details according to the keywords, and mark the building problem as a target problem; if there is no target problem, generate warning information; The accountability group generation module is used to generate an accountability group based on the impact factor, impact coefficient, error value and responsibility chain corresponding to the target problem; The early warning module is used to process early warning information.

[0013] Compared with the prior art, the beneficial effects of the present invention are: the present invention constructs a responsibility chain, so that after the construction project that causes the problem is determined, the responsible person can be accurately and quickly obtained; the present invention sets routine questions and other questions, so as to quickly and effectively identify the construction links that cause common construction problems. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0015] like Figure 1 As shown, the present invention provides a method for determining construction retrospective responsibility based on multi-data fusion analysis, comprising the following steps: Step S1: Obtain construction standard data and construction personnel corresponding to each construction stage in the construction project, build a standard responsibility model for the construction stage based on the construction standard data, and build a responsibility chain based on the standard responsibility model for each construction stage and the construction personnel corresponding to each construction stage; Step S2: setting architectural problems in the construction project, and setting keywords, impact factors and impact coefficients corresponding to the architectural problems; Step S3: regularly obtain real-time data of each construction stage, and input the real-time data into the standard responsibility model corresponding to the construction stage to generate an error value; Step S4: Set an input port to obtain the problem details input by the user, and obtain the building problem corresponding to the problem details based on keywords, and mark the building problem as a target problem; if the target problem does not exist, generate early warning information; generate a accountability group based on the impact factor, impact coefficient, error value and responsibility chain corresponding to the target problem.

[0016] Specifically, the process of obtaining the construction standard data and construction personnel corresponding to each construction stage in the construction project and constructing the standard responsibility model of the construction stage according to the construction standard data includes: The said construction project consists of several construction phases; The construction phases include the preliminary preparation phase, the foundation construction phase, the main construction phase and the completion acceptance phase; Each construction phase consists of a number of corresponding construction projects; The construction projects corresponding to the preliminary preparation stage include scheme design formulation projects, construction plan formulation projects, construction personnel determination projects, construction material preparation projects, construction site confirmation projects and safety measures confirmation projects; The construction projects corresponding to the foundation construction stage include foundation treatment projects, foundation pouring and enclosure stages, and foundation acceptance projects; The construction projects corresponding to the main construction phase include beam and column casting and reinforcement projects, reinforced concrete casting and consolidation projects, masonry and wall masonry projects and structural acceptance projects; The construction projects corresponding to the completion acceptance stage include completion acceptance projects, document sorting projects and handover projects; Generate a serial number according to the construction stage, and generate a sub-serial number of the construction project corresponding to the construction stage according to the serial number; For example, if the sequence table of the preparatory stage in the construction stage is marked as "A", then the subsequence number of the construction project corresponding to the construction stage is generated according to the sequence number "A", that is, the subsequence number of the scheme design formulation project is marked as "A1", the subsequence number of the construction plan formulation project is marked as "A2", the subsequence number of the construction personnel confirmation project is marked as "A3", the subsequence number of the construction material preparation project is marked as "A4", the subsequence number of the construction site confirmation project is marked as "A5", and the subsequence number of the safety measures confirmation project is marked as "A6"; Obtain the construction standard data corresponding to each construction stage, that is, obtain the construction standard data corresponding to each construction project; The construction standard data includes construction data and document data; The construction data is a drawing used to describe a building during the construction process, i.e., a construction drawing; The file data refers to material data other than construction data, i.e., relevant license qualification certificate documents; Constructing a standard responsibility model for the construction phase according to the construction standard data, wherein the standard responsibility model is composed of a plurality of sub-sequence numbers and a plurality of sub-standard responsibility models, wherein the sub-sequence numbers and the sub-standard responsibility models are in a one-to-one correspondence; Construct sub-standard responsibility models for several construction projects corresponding to the construction stage based on the construction standard data; If the construction standard data is construction data, a three-dimensional coordinate system is constructed, and a construction standard model is constructed according to the construction data; If the construction standard data is file data, a task table is constructed, and the task table includes task items and task details, wherein the task item is the name of the relevant license qualification certificate file, and the task details are the content of the relevant license qualification certificate file. If the task details do not contain the content of the relevant license qualification certificate file, the task details are NULL; It should be noted that it is a normal standard situation that the task details are not NULL; Specifically, the process of building a responsibility chain based on the standard responsibility model of each construction stage and the construction personnel corresponding to each construction stage includes: Get the construction worker's work number, recorded as NUM; Get the construction worker's start time, recorded as START_TIME; Get the time when the construction worker left the company, recorded as END_TIME; Get the subsequence number of the construction project that the construction worker is responsible for, recorded as JOB_ID; Generate the responsibility code of the construction worker according to his / her work number, appointment date, departure date and sub-sequence number of the construction project he / she is responsible for; The responsibility code is "JOB_ID+NUM+START_TIME+END_TIME"; It should be noted that if the responsibility code of construction worker A is queried and construction worker A has not resigned, the resignation time of construction worker A is NULL, that is, END_TIME is NULL; It should be further explained that if there is a situation where construction worker B is responsible for two or more construction projects, a corresponding responsibility code is generated, that is, if construction worker B is responsible for n construction projects, then n corresponding responsibility codes are generated; The responsibility chain is composed of several sub-standard responsibility models and several responsibility codes, wherein the sub-standard responsibility model and the responsibility code are in a one-to-many relationship, that is, one sub-standard responsibility model corresponds to n responsibility codes, where n is a positive integer; Obtain the sub-sequence number of the construction project corresponding to the sub-standard model, and mark the sub-sequence number as a key sequence number; obtain a responsibility code whose JOB_ID is equal to the key sequence number, and the responsibility code is in a corresponding relationship with the sub-standard model; Specifically, the process of setting architectural problems in construction projects and setting keywords, impact factors and impact coefficients corresponding to the architectural problems includes: Said construction problems include general and other problems; The conventional problems are problems in the construction process that can be identified as the construction project causing the problem; The other problems are problems in the construction process that cannot be determined to have caused the problems; The keywords are words that describe the characteristics of the building problem; The influencing factor is the subsequence number corresponding to the construction project causing the building problem; The impact coefficient is the weight of the impact factor; The impact factors and impact coefficients corresponding to the same building problem are in one-to-one correspondence, and there is no relationship between the impact factors and impact coefficients corresponding to different building problems; The impact factor corresponding to a common problem is the subsequence number of the construction project that can cause the common problem; Set the coincidence threshold; Get the keywords corresponding to other questions and mark them as target keywords; Get the keywords corresponding to the general questions and mark them as object keywords; If the overlap between the object keyword and the target keyword is greater than or equal to the overlap threshold, the conventional question corresponding to the object keyword is marked as a type of other question; otherwise, no operation is required; If there are no other similar problems, a first-level warning message will be generated and sent to the user, who will take corresponding measures; Generate the impact factors and impact coefficients of other problems according to the impact factors and impact coefficients corresponding to other problems of the same category; For example, there are routine questions A, routine questions B, routine questions C, and other questions D; The keywords corresponding to the general question A include keyword A1, keyword A2, ..., keyword A n ; The impact factors corresponding to the conventional problem A include subsequence number A1, subsequence number A2, ..., subsequence number A n ; The influence coefficients corresponding to the conventional problem A include influence coefficient A1, influence coefficient A2, ..., influence coefficient A n ; The keywords corresponding to the general question B include keyword B1, keyword B2, ..., keyword B n ; The impact factors corresponding to the conventional problem B include subsequence number B1, subsequence number B2, ..., subsequence number B n ; The influence coefficients corresponding to the conventional problem B include influence coefficient B1, influence coefficient B2, ..., influence coefficient B n ; The keywords corresponding to the common question C include keyword C1, keyword C2, ..., keyword C n ; The impact factors corresponding to the conventional problem C include subsequence number C1, subsequence number C2, ..., subsequence number C n ; The influence coefficients corresponding to the common problem C include influence coefficient C1, influence coefficient C2, ..., influence coefficient C n ; Among them, the impact factor and impact coefficient corresponding to the conventional problem A are in one-to-one correspondence, that is, subsequence number A1 corresponds to impact coefficient A1, subsequence number A2 corresponds to impact coefficient A2, ..., subsequence number A n Corresponding influence coefficient A n ; The impact factor and impact coefficient corresponding to the conventional problem B are in one-to-one correspondence; The impact factor and impact coefficient corresponding to the conventional problem C are in one-to-one correspondence; The keywords corresponding to other questions D include keyword D1, keyword D2, ..., keyword D n ; Keyword D1, keyword D2, ..., keyword D n Mark as target keyword; Keyword A1, keyword A2, ..., keyword A n Mark as object keyword A; keyword B1, keyword B2, ..., keyword B n Mark as object keyword B, keyword C1, keyword C2, ..., keyword C n Marked as object keyword C; Obtain the overlap degree A between the target keyword and the object keyword A, obtain the overlap pair B between the target keyword and the object keyword B, and obtain the overlap degree C between the target keyword and the object keyword C; Assume that the overlap degree A is greater than the overlap threshold, the overlap degree B is equal to the overlap threshold, and the overlap degree C is less than the overlap threshold; Mark the general questions A and B as other questions; Obtain the impact factor and impact coefficient corresponding to other problems of the same category, and generate the impact factor and impact coefficient of other problems; that is, obtain the impact factor and impact coefficient corresponding to general problem A, and obtain the impact factor and impact coefficient corresponding to general problem B, and generate the impact factor and impact coefficient of other problem D; The impact factors corresponding to the other problems D are subsequence number A1, subsequence number A2, ..., subsequence number A n , subsequence number B1 Subsequence number B2 Subsequence number B n ; The influence coefficients corresponding to the other problems D are influence coefficient A1, influence coefficient A2, ..., influence coefficient A n , influence coefficient B1, influence coefficient B2, ..., influence coefficient B n ; If the impact factor corresponding to the conventional problem A is the same as the impact factor corresponding to the conventional problem B, but the impact coefficient corresponding to the conventional problem A is different from the impact coefficient corresponding to the conventional problem B, that is, the subsequence number A i With subsequence number B i Same, but the influence coefficient A i and influence coefficient B i different, a new influence coefficient is generated according to the influence coefficient corresponding to conventional problem A and the influence coefficient corresponding to conventional problem B. The new influence coefficient is ; Specifically, real-time data of each construction stage is obtained regularly, and the real-time data is input into the standard responsibility model corresponding to the construction stage. The process of generating the error value includes: Set the collection period; According to the collection cycle, real-time data of each construction stage is regularly obtained, that is, real-time data of each construction project is regularly obtained; It should be noted that when a construction worker leaves, it is necessary to collect real-time data of the construction project that the construction worker is responsible for once; Input the real-time data into the standard responsibility model corresponding to the construction stage, that is, input the real-time data into the sub-standard responsibility model of the corresponding construction project to generate an actual responsibility model; Set the completion of the substandard responsibility model to 100%; Get the actual level of responsibility model completion; Obtain the error value corresponding to the substandard responsibility model according to the degree of completion of the actual responsibility model; The error value = |the degree of completion of the actual responsibility model - 100%|; Specifically, an input port is set to obtain the problem details input by the user, and the building problem corresponding to the problem details is obtained according to the keyword, and the building problem is marked as a target problem. If there is no target problem, the process of generating early warning information includes: Obtain keywords for architectural issues, that is, obtain keywords for general issues and other issues, and mark the keywords as primary keywords; Obtaining keywords that overlap with the primary keywords in the question details, and marking the keywords as secondary keywords; Obtaining the overlap rate between the keywords corresponding to the conventional questions and the secondary keywords, and marking the overlap rate as the conventional overlap rate; The conventional overlap rate = ; Obtaining the overlap rate between the keywords corresponding to other questions and the secondary keywords, and marking the overlap rate as other overlap rate; The other coincidence rate = ; The target questions include conventional target questions and other target questions; Set general and other thresholds; If the regular overlap rate corresponding to the regular question is greater than or equal to the regular threshold, the regular question is marked as a regular target question; otherwise, no operation is required; If the corresponding other overlap rates of other questions are greater than or equal to other thresholds, then the other questions are marked as other target questions; otherwise, no operation is required; If the target problem does not exist, a second-level warning message is generated and sent to the user, who then handles the situation accordingly; Specifically, the process of generating a accountability group based on the impact factor, impact coefficient, error value, and responsibility chain corresponding to the target problem includes: The accountability group is composed of a number of accountability personnel; Obtaining an impact factor and an impact coefficient corresponding to a target problem, marking the impact factor as a target impact factor, and marking the impact coefficient as a target impact coefficient; Obtaining an error value corresponding to the target impact factor, that is, obtaining an error value of the sub-standard responsibility model corresponding to the target impact factor, and marking the error value as a target value; Set general and other coefficients; If the target problem is a conventional target problem, a responsibility value is generated according to the conventional coefficient, the target value and the target influence coefficient, and the responsibility value = ,in, ; If the target problem is other target problems, a responsibility value is generated according to other coefficients, target values ​​and target impact coefficients, and the responsibility value = ,in, ; Obtain a target problem corresponding to a maximum responsibility value, and mark the target problem as a responsibility problem; Obtaining an impact factor corresponding to the accountability issue, and marking a construction project corresponding to the impact factor as an accountability project; According to the responsibility code in the responsibility chain, the construction personnel corresponding to the accountability project are obtained, and the construction personnel are marked as the accountability personnel; For example, the impact factors corresponding to the accountability problem are subsequence number Z1, subsequence number Z2, ..., subsequence number Z n , then subsequence number Z1, subsequence number Z2, ..., subsequence number Z n The corresponding construction projects are marked as accountability projects; Obtain the responsibility code in the responsibility chain, and mark the construction personnel corresponding to the responsibility code whose JOB_ID is equal to the sub-sequence number corresponding to the accountability project as the accountability personnel; The present invention also provides a construction retrospective responsibility identification system based on multi-data fusion analysis, the system comprising: The standard responsibility model and responsibility chain building module is used to obtain the construction standard data and construction personnel corresponding to each construction stage in the construction project, build the standard responsibility model of the construction stage according to the construction standard data, and build the responsibility chain according to the standard responsibility model of each construction stage and the construction personnel corresponding to each construction stage; A database for storing specific information of a number of construction problems in a construction project, wherein the specific information includes keywords, influencing factors and influencing coefficients; Data acquisition module, used to regularly obtain real-time data at each construction stage; A data processing module is used to input the real-time data into the standard responsibility model corresponding to the construction stage to generate an error value; An input module is used to obtain the problem details input by the user, and obtain the building problem corresponding to the problem details according to the keywords, and mark the building problem as a target problem; if there is no target problem, generate warning information; The accountability group generation module is used to generate an accountability group based on the impact factor, impact coefficient, error value and responsibility chain corresponding to the target problem; The early warning module is used to process early warning information.

[0017] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A construction retrospective responsibility identification method based on multi-data fusion analysis, characterized in that: The following steps are involved: Step S1: Obtain construction standard data and construction personnel corresponding to each construction stage in the construction project, build a standard responsibility model for the construction stage based on the construction standard data, and build a responsibility chain based on the standard responsibility model for each construction stage and the construction personnel corresponding to each construction stage; Step S2: setting architectural problems in the construction project, and setting keywords, impact factors and impact coefficients corresponding to the architectural problems; Step S3: regularly obtain real-time data of each construction stage, and input the real-time data into the standard responsibility model corresponding to the construction stage to generate an error value; Step S4: setting an input port, obtaining the question details input by the user, and obtaining the building problem corresponding to the question details according to the keywords, and marking the building problem as the target problem; If there is no target problem, a warning message is generated; Generate an accountability group based on the impact factor, impact coefficient, error value and responsibility chain corresponding to the target problem.

2. According to the method of multi-data fusion analysis for construction retrospective responsibility identification in claim 1, it is characterized in that: The process of obtaining the construction standard data and construction personnel corresponding to each construction stage in the construction project and constructing the standard responsibility model of the construction stage according to the construction standard data includes: The said construction project consists of several construction phases; The construction phases include the preliminary preparation phase, the foundation construction phase, the main construction phase and the completion acceptance phase; Each construction phase consists of a number of corresponding construction projects; Generate a serial number according to the construction stage, and generate a sub-serial number of the construction project corresponding to the construction stage according to the serial number; Obtain the construction standard data corresponding to each construction stage, that is, obtain the construction standard data corresponding to each construction project; The construction standard data includes construction data and document data; The construction data refers to drawings used to describe the building during the construction process, i.e., construction drawings; the file data refers to material data other than the construction data, i.e., relevant license qualification certificate documents; Constructing a standard responsibility model for the construction phase according to the construction standard data, wherein the standard responsibility model is composed of a plurality of sub-sequence numbers and a plurality of sub-standard responsibility models; Construct sub-standard responsibility models for several construction projects corresponding to the construction stage based on the construction standard data; If the construction standard data is construction data, a three-dimensional coordinate system is constructed, and a construction standard model is constructed according to the construction data; If the construction standard data is file data, a task table is constructed, which includes task items and task details, wherein the task item is the name of the relevant license qualification certificate file, and the task details are the content of the relevant license qualification certificate file. If the task details do not contain the content of the relevant license qualification certificate file, the task details are NULL, and if the task details are not NULL, it is a normal standard situation.

3. The method for determining construction retrospective responsibility based on multi-data fusion analysis according to claim 2 is characterized in that: The process of building a responsibility chain based on the standard responsibility model of each construction stage and the construction personnel corresponding to each construction stage includes: Get the construction worker's work number NUM, starting time START_TIME, leaving time END_TIME, and the subsequence number JOB_ID of the construction project he is responsible for; Generate the responsibility code of the construction worker according to his / her work number, appointment date, departure date and sub-sequence number of the construction project he / she is responsible for; If the construction worker has not resigned when the responsibility code of the construction worker is queried, the resignation time of the construction worker is NULL; if the construction worker is responsible for two or more construction projects, the corresponding responsibility code is generated, that is, if the construction worker is responsible for n construction projects, then the corresponding n responsibility codes are generated; The responsibility chain is composed of several sub-standard responsibility models and several responsibility codes, wherein the sub-standard responsibility model and the responsibility code are in a one-to-many relationship, that is, one sub-standard responsibility model corresponds to n responsibility codes, where n is a positive integer; Obtain the sub-sequence number of the construction project corresponding to the sub-standard model, and mark the sub-sequence number as a key sequence number; obtain a responsibility code whose JOB_ID is equal to the key sequence number, and the responsibility code corresponds to the sub-standard model.

4. The method for determining construction retrospective responsibility based on multi-data fusion analysis according to claim 3 is characterized in that: The process of setting architectural problems in construction projects and setting keywords, impact factors and impact coefficients corresponding to the architectural problems includes: Said construction problems include general and other problems; The conventional problems are problems in the construction process that can be identified as the construction project causing the problem; The other problems are problems in the construction process that cannot be determined to have caused the problems; The keywords are words that describe the characteristics of the building problem; The influencing factor is the subsequence number corresponding to the construction project causing the building problem; The impact coefficient is the weight of the impact factor; The impact factor corresponding to a common problem is the subsequence number of the construction project that can cause the common problem; Set the coincidence threshold; Get the keywords corresponding to other questions and mark them as target keywords; Get the keywords corresponding to the general questions and mark them as object keywords; If the overlap between the object keyword and the target keyword is greater than or equal to the overlap threshold, the conventional question corresponding to the object keyword is marked as a type of other question; otherwise, no operation is required; If there are no other problems, a first-level warning message is generated; According to the impact factors and impact coefficients corresponding to other problems of the same category, the impact factors and impact coefficients of other problems are generated.

5. The method for determining construction retrospective responsibility based on multi-data fusion analysis according to claim 4 is characterized in that: Regularly obtain real-time data of each construction stage and input the real-time data into the standard responsibility model corresponding to the construction stage. The process of generating error values ​​includes: Set the collection period; According to the collection cycle, real-time data of each construction stage is regularly obtained, that is, real-time data of each construction project is regularly obtained; when a construction worker leaves, it is necessary to collect real-time data of the construction project that the construction worker is responsible for once; Input the real-time data into the standard responsibility model corresponding to the construction stage, that is, input the real-time data into the sub-standard responsibility model of the corresponding construction project to generate an actual responsibility model; Set the completion of the substandard responsibility model to 100%; Get the actual level of responsibility model completion; Obtain the error value corresponding to the substandard responsibility model according to the degree of completion of the actual responsibility model; The error value=|the degree of completion of the actual responsibility model-100%|.

6. The method for determining construction retrospective responsibility based on multi-data fusion analysis according to claim 5 is characterized in that: An input port is set to obtain the problem details input by the user, and the building problem corresponding to the problem details is obtained according to the keyword, and the building problem is marked as a target problem. If there is no target problem, the process of generating early warning information includes: Obtain keywords for general questions and other questions, and mark the keywords as primary keywords; Obtaining keywords that overlap with the primary keywords in the question details, and marking the keywords as secondary keywords; Obtaining the overlap rate between the keywords corresponding to the conventional questions and the secondary keywords, and marking the overlap rate as the conventional overlap rate; Obtaining the overlap rate between the keywords corresponding to other questions and the secondary keywords, and marking the overlap rate as other overlap rate; The target questions include conventional target questions and other target questions; Set general and other thresholds; If the regular overlap rate corresponding to the regular question is greater than or equal to the regular threshold, the regular question is marked as a regular target question; otherwise, no operation is required; If the corresponding other overlap rates of other questions are greater than or equal to other thresholds, then the other questions are marked as other target questions; otherwise, no operation is required; If the target problem does not exist, a second-level warning message is generated.

7. The method for determining construction retrospective responsibility based on multi-data fusion analysis according to claim 6 is characterized in that: The process of generating a accountability group based on the impact factor, impact coefficient, error value, and responsibility chain corresponding to the target problem includes: The accountability group is composed of a number of accountability personnel; Obtaining an impact factor and an impact coefficient corresponding to a target problem, marking the impact factor as a target impact factor, and marking the impact coefficient as a target impact coefficient; Obtaining an error value corresponding to the target impact factor, that is, obtaining an error value of the sub-standard responsibility model corresponding to the target impact factor, and marking the error value as a target value; Set general and other coefficients; If the target problem is a conventional target problem, the responsibility value is generated according to the conventional coefficient, the target value and the target influence coefficient; If the target problem is other target problems, the responsibility value is generated according to other coefficients, target values ​​and target impact coefficients; Obtain a target problem corresponding to a maximum responsibility value, and mark the target problem as a responsibility problem; Obtaining an impact factor corresponding to the accountability issue, and marking a construction project corresponding to the impact factor as an accountability project; According to the responsibility code in the responsibility chain, the construction personnel corresponding to the accountability project are obtained, and the construction personnel are marked as the accountability personnel.

8. A construction retrospective responsibility identification system based on multi-data fusion analysis, used to implement the construction retrospective responsibility identification method according to any one of claims 1 to 7, characterized in that: The system includes: The standard responsibility model and responsibility chain building module is used to obtain the construction standard data and construction personnel corresponding to each construction stage in the construction project, build the standard responsibility model of the construction stage according to the construction standard data, and build the responsibility chain according to the standard responsibility model of each construction stage and the construction personnel corresponding to each construction stage; A database for storing specific information of a number of construction problems in a construction project, wherein the specific information includes keywords, influencing factors and influencing coefficients; Data acquisition module, used to regularly obtain real-time data at each construction stage; A data processing module is used to input the real-time data into the standard responsibility model corresponding to the construction stage to generate an error value; An input module is used to obtain the problem details input by the user, and obtain the building problem corresponding to the problem details according to the keywords, and mark the building problem as a target problem; if there is no target problem, generate warning information; The accountability group generation module is used to generate an accountability group based on the impact factor, impact coefficient, error value and responsibility chain corresponding to the target problem; The early warning module is used to process early warning information.

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