CN111652517A - Quantitative evaluation method and device for engineering bearing capacity - Google Patents
Quantitative evaluation method and device for engineering bearing capacity Download PDFInfo
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- CN111652517A CN111652517A CN202010506430.6A CN202010506430A CN111652517A CN 111652517 A CN111652517 A CN 111652517A CN 202010506430 A CN202010506430 A CN 202010506430A CN 111652517 A CN111652517 A CN 111652517A
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Abstract
The invention discloses a quantitative evaluation method and a quantitative evaluation device for engineering bearing capacity, wherein the method comprises the following steps: obtaining the standard engineering total amount and the maximum bearing capacity of an evaluation object according to historical project data, historical personnel post data, enterprise comprehensive data, standard post coefficients, standard engineering output values and a preset quantitative algorithm; and taking the percentage of the total standard engineering amount and the maximum bearing capacity as the engineering bearing saturation, and further determining the state evaluation result of the evaluation object. By quantifying the post composition and the engineering output value elements and constructing a uniform configuration standard, the parameters related to the enterprise comprehensive strength, the historical project evaluation and the management personnel post composition are considered, and the technical problems that a uniform distribution network standard team and a standard engineering are not constructed in the conventional evaluation mode, the bearing capacity of the enterprise distribution network engineering cannot be accurately evaluated, and the corresponding relation between the enterprise carrying implementation workload and the bearing capacity is established are solved.
Description
Technical Field
The invention relates to the technical field of capability assessment, in particular to a quantitative assessment method and device for engineering bearing capacity.
Background
With the continuous and deep promotion of the national distribution network transformation upgrading action plan, the construction and construction of the distribution network engineering project are carried out in a rush hour. However, the admission threshold for the construction of the distribution network engineering at the present stage is relatively low, and electric power safety accidents caused by nonstandard operation and overload of a power construction enterprise sometimes occur, so that great pressure and challenges are brought to the safety control of the power construction enterprise by a power grid company.
The method for evaluating the bearing capacity of the distribution network engineering at the present stage generally adopts a qualitative or rough quantitative evaluation mode, and a typical method firstly counts the number of various construction management personnel for implementing the distribution network engineering of a power construction enterprise, and comprises the following steps: and according to the management experience of the distribution network project, roughly and quantitatively running according to the allocation proportion of construction managers such as project managers, project safety personnel and operation teams and the like, and evaluating the quantity of the distribution network projects and/or the total project value which can be carried out by the electric power construction enterprises in the mode.
The existing evaluation method has the following defects: (1) the influence of the total output value of the distribution network project, the construction time (days) occurring in the evaluation period, the number of sub-projects and other factors is not fully considered, so that the standard project conversion result is not consistent with the actual condition of an enterprise; meanwhile, the allocation proportion among various construction managers is not determined, and a uniform distribution network standard team and a standard project are not constructed; (2) the influence of factors in the aspects of labor attribute, enterprise misbehavior, enterprise operation management comprehensive strength, carrying on other owner projects and the like of enterprise construction management personnel is not fully considered, and then the maximum bearing capacity of the power construction enterprise is evaluated accurately and objectively, namely the existing evaluation method cannot accurately evaluate the bearing capacity of the enterprise distribution network project and accurately evaluate and establish the corresponding relation between the enterprise carrying implementation workload and the bearing capacity.
Disclosure of Invention
The invention provides a quantitative evaluation method for engineering bearing capacity, which solves the technical problems that the existing evaluation mode can not accurately evaluate the enterprise distribution network engineering bearing capacity and accurately evaluate and establish the corresponding relation between the enterprise carrying implementation workload and the bearing capacity.
The invention provides a quantitative evaluation method of engineering bearing capacity, which comprises the following steps:
acquiring historical project data, historical personnel post data and enterprise comprehensive data of an engineering evaluation object, and standard post coefficients and standard engineering production values set by a user;
obtaining the total standard engineering amount and the maximum bearing capacity of the evaluation object according to the historical project data, the historical personnel post data, the enterprise comprehensive data, the standard post coefficient, the standard engineering output value and a preset quantitative algorithm;
taking the percentage of the standard engineering total amount and the maximum bearing capacity as engineering bearing saturation;
and determining the state evaluation result of the evaluation object according to the engineering bearing saturation.
Optionally, the step of obtaining the standard total engineering quantity and the maximum bearing capacity of the evaluation object according to the historical project data, the historical personnel post data, the enterprise comprehensive data, the standard post coefficient, the standard engineering output value, and a preset quantitative algorithm includes:
extracting employment attributes from the historical personnel post data, and extracting the times of undesirable behaviors of enterprises, the enterprise strength coefficient and the enterprise bearing user engineering influence coefficient from the enterprise comprehensive data;
and calculating to obtain the maximum bearing capacity through a preset calculation model, the employment attribute, the times of the adverse behaviors of the enterprise, the enterprise strength coefficient and the enterprise bearing user engineering influence coefficient.
Optionally, the preset quantization algorithm specifically includes:
wherein, FmaxThe maximum bearing capacity is represented, the gamma represents a recruitment attribute, the m represents the number of bad behaviors of the enterprise, the α represents an enterprise strength coefficient, and the β represents an enterprise engineering bearing influence coefficient.
Optionally, the step of obtaining the standard total engineering quantity and the maximum bearing capacity of the evaluation object according to the historical project data, the historical personnel post data, the enterprise comprehensive data, the standard post coefficient, the standard engineering output value, and a preset quantitative algorithm further includes:
extracting actual construction output values, total construction time, engineering construction time, total project number and in-construction project number from the historical project data;
obtaining an engineering conversion coefficient according to the standard engineering output value, the actual construction output value, the total construction time, the engineering construction time, the total project number and the project number under construction;
and accumulating all the engineering conversion coefficients to obtain the total standard engineering quantity.
Optionally, the step of obtaining an engineering conversion factor according to the standard engineering output value, the actual construction output value, the total construction time, the engineering construction time, the total project number, and the current project number includes:
and multiplying the ratio of the actual construction output value to the standard construction output value, the ratio of the construction time to the total construction time, and the ratio of the number of the project under construction to the total number of the projects to obtain the engineering conversion coefficient.
Optionally, the step of determining the state evaluation result of the evaluation object according to the engineering load saturation includes:
matching the percentage of the bearing saturation degree with a preset percentage interval, and determining the preset percentage interval in which the percentage of the bearing saturation degree falls;
and determining the state evaluation result of the evaluation object according to the evaluation result corresponding to the preset percentage interval in which the percentage of the bearing saturation falls.
Optionally, the state evaluation result specifically includes:
when the load saturation is (100%, + ∞), the state estimation result is an overload state;
when the bearing saturation is (90%, 100%), the state evaluation result is a saturated state;
when the bearing saturation is (70%, 90%), the state evaluation result is a reasonable state;
when the load saturation is (0, 70%), the state evaluation result is an insufficient state.
The invention provides a quantitative evaluation device for engineering bearing capacity, which comprises:
the evaluation data acquisition system is used for acquiring basic evaluation data of an evaluation object, a standard post coefficient set by a user and a standard engineering output value, wherein the basic evaluation data comprises: historical project data, historical personnel post data and enterprise comprehensive data;
a quantitative index system establishing system for obtaining the standard engineering total amount and the maximum bearing capacity of the evaluation object according to the basic evaluation data, the standard post coefficient, the standard engineering output value and a preset quantitative evaluation model;
the saturation acquisition system is used for taking the percentage of the standard engineering total amount and the maximum bearing capacity as the engineering bearing saturation;
and the state evaluation system is used for determining the state evaluation result of the evaluation object according to the engineering bearing saturation.
Optionally, the system for establishing a quantization index system includes:
the enterprise data extraction module is used for extracting the recruitment attribute from the historical personnel post data and extracting the enterprise adverse behavior times, the enterprise strength coefficient and the enterprise bearing user engineering influence coefficient from the enterprise comprehensive data;
and the bearing capacity acquisition module is used for calculating the maximum bearing capacity through a preset calculation model, the employment attribute, the times of the adverse behaviors of the enterprise, the enterprise strength coefficient and the enterprise bearing user engineering influence coefficient.
Optionally, the preset quantization algorithm specifically includes:
wherein, FmaxThe maximum bearing capacity is represented, the gamma represents a recruitment attribute, the m represents the number of bad behaviors of the enterprise, the α represents an enterprise strength coefficient, and the β represents an enterprise engineering bearing influence coefficient.
The invention provides a quantitative evaluation method of engineering bearing capacity, which comprises the following steps: evaluating and acquiring historical project data, historical personnel post data and enterprise comprehensive data of a project evaluation object, and standard post coefficients and standard project production values set by a user; obtaining the total standard engineering amount and the maximum bearing capacity of the evaluation object according to the historical project data, the historical personnel post data, the enterprise comprehensive data, the standard post coefficient, the standard engineering output value and a preset quantitative algorithm; taking the percentage of the standard engineering total amount and the maximum bearing capacity as engineering bearing saturation; and determining the state evaluation result of the evaluation object according to the engineering bearing saturation. In the invention, a quantitative evaluation model is constructed by adopting a preset quantitative algorithm, standard post coefficients set by a user and a standard engineering output value, and the collected data of an evaluation object is analyzed and calculated according to the quantitative evaluation model, so that the engineering bearing saturation of the evaluation object is obtained.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a flowchart illustrating a method for quantitatively evaluating engineering carrying capacity according to an embodiment of the present invention.
Fig. 2 is a quantified model of engineering load capacity according to an embodiment of the present invention.
Fig. 3 is a flowchart illustrating an embodiment of a quantitative evaluation method for engineering load-bearing capacity according to the present invention.
Fig. 4 is a schematic structural diagram of an apparatus for quantitatively evaluating engineering load capacity according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a quantitative evaluation method for engineering bearing capacity, which is used for solving the technical problems that the existing evaluation mode cannot accurately evaluate the enterprise distribution network engineering bearing capacity and establish the corresponding relation between the enterprise carrying implementation workload and the bearing capacity.
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a diagram illustrating an embodiment of a quantitative evaluation method for engineering carrying capacity according to the present invention, including:
101. acquiring historical project data, historical personnel post data and enterprise comprehensive data of an engineering evaluation object, and standard post coefficients and standard engineering production values set by a user;
102. obtaining the total standard engineering amount and the maximum bearing capacity of the evaluation object according to the historical project data, the historical personnel post data, the enterprise comprehensive data, the standard post coefficient, the standard engineering output value and a preset quantitative algorithm;
103. taking the percentage of the standard engineering total amount and the maximum bearing capacity as engineering bearing saturation;
104. and determining the state evaluation result of the evaluation object according to the engineering bearing saturation.
In the embodiment of the application, a quantitative evaluation model is constructed by adopting a preset quantitative algorithm, standard position coefficients set by a user and a standard engineering production value, and the collected data of an evaluation object is analyzed and calculated according to the quantitative evaluation model, so that the engineering bearing saturation of the evaluation object is obtained.
Another embodiment of the method for quantitatively evaluating engineering bearing capacity according to the embodiments of the present invention includes:
201. acquiring historical project data, historical personnel post data and enterprise comprehensive data of an engineering evaluation object, and standard post coefficients and standard engineering production values set by a user;
the data are obtained from a preset project evaluation object database, the historical project data comprise actual construction output values, total construction time, total project number and project number under construction of historical projects, the historical personnel post data comprise employment attributes, the enterprise comprehensive data comprise enterprise bad behavior times, enterprise strength coefficients and enterprise user engineering bearing influence coefficients, and in the embodiment, the standard post coefficients for presetting are project managers: project headquarters: item Security personnel: project quality inspector: the working shift is long: the team security officer is 1:1:1:1:1.5:1.5, and the standard engineering output value is 750 ten thousand yuan.
202. Obtaining the standard engineering total amount and the maximum bearing capacity of the evaluation object according to the historical project data, the historical personnel post data, the enterprise comprehensive data, the standard post coefficient and the standard engineering output value, and a preset quantitative algorithm, wherein the standard engineering total amount is obtained by accumulating standard engineering conversion coefficients;
in this embodiment, the preset quantitative algorithm includes a standard engineering sum algorithm and a maximum bearing capacity algorithm, and the calculation formula of the standard engineering sum algorithm specifically includes:
wherein S isiThe standard project conversion coefficient of the ith project is obtained, and n is the number of historical projects;
the calculation formula of the maximum bearing capacity algorithm is specifically as follows:
wherein, FmaxThe maximum bearing capacity is represented, the gamma represents a recruitment attribute, the m represents the number of bad behaviors of the enterprise, the α represents an enterprise strength coefficient, and the β represents an enterprise engineering bearing influence coefficient.
The number of bad actions m, refers to the number of times in a year, including but not limited to the following: firstly, cheating winning bid by a bribery means; kneading facts or providing false complaint materials, defatting, and expelling malicious complaints from other contractors; providing false information, forged certification documents or qualification performance information, and making a description if the substantive change occurs, wherein the substantive influence on the bidding result is caused; fourthly, the return staff salary causes the visit to cause adverse social influence on the company; forging false engineering amount and cheating engineering money; sixthly, carrying out illegal subcontracting or subcontracting on the main engineering and the key work or subcontracting on the non-main engineering in violation of contract agreement; and the safety accident of responsible equipment or personnel occurs.
The enterprise strength coefficient alpha is obtained by dividing the comprehensive strength score (percent) of the enterprise annual contractor evaluation by 100, and the value range is generally between 0.8 and 1.
The enterprise bearing user engineering influence coefficient beta is the average of the proportion of the total annual user engineering construction value (contract price) of the enterprise in the total distribution network engineering construction value (contract price) in three years, and the value range is between 0 and 1.
203. Taking the percentage of the standard engineering total amount and the maximum bearing capacity as engineering bearing saturation;
in this embodiment, the standard engineering total amount and the maximum bearing capacity of the evaluation object obtained by the preset quantization algorithm are calculated according to the following formula:
204. and determining the state evaluation result of the evaluation object according to the engineering bearing saturation.
Matching the percentage of the bearing saturation with a preset percentage interval, determining the preset percentage interval in which the percentage of the bearing saturation falls, determining the state evaluation result of the evaluation object according to the engineering bearing saturation and the evaluation result corresponding to the preset percentage interval in which the percentage of the bearing saturation falls, and specifically:
when the load saturation is (100%, + ∞), the state estimation result is an overload state;
when the bearing saturation is (90%, 100%), the state evaluation result is a saturated state;
when the bearing saturation is (70%, 90%), the state evaluation result is a reasonable state;
when the load saturation is (0, 70%), the state evaluation result is an insufficient state.
In the embodiment of the application, a preset quantization algorithm, a standard position coefficient set by a user and a standard engineering output value are adopted to establish a quantization evaluation model, and the allocation proportion of construction managers and the reference value of the engineering output value are determined, so that a standard reference standard is established; evaluating the enterprise related data acquired from the database according to the quantitative evaluation model, and fully considering the total construction value of the distribution network engineering, the construction time occurring in the evaluation period, the number of the construction projects and other influences during evaluation so as to make the total standard engineering amount consistent with the actual of the enterprise; the influence of factors such as labor attribute of enterprise project personnel, times of enterprise bad behaviors and comprehensive strength is considered, the maximum bearing capacity of the power construction enterprise is evaluated more objectively, and therefore the bearing capacity of the distribution network engineering of the enterprise is evaluated accurately; and determining the state evaluation result according to the percentage of the engineering bearing saturation of the evaluation object, accurately evaluating and establishing the corresponding relation between the enterprise bearing implementation workload and the bearing capacity, more intuitively seeing the state of the current evaluation object, and judging whether the evaluation object can continue bearing the project in a short time.
For convenience of understanding, fig. 2 shows an engineering bearing capacity quantitative model, which mainly includes three aspects of construction of distribution network standard post coefficients and standard output values, establishment of a distribution network engineering bearing capacity quantitative evaluation system, and evaluation of distribution network engineering bearing states.
Next, an application of the quantitative evaluation method for engineering carrying capacity in a specific application scenario will be described below, please refer to an application example in fig. 3, which shows a flowchart of an embodiment of the present invention, and includes:
1. evaluation basis data acquisition and analysis, comprising:
(1) acquiring historical project data related to the power engineering of a certain enterprise, historical personnel post data related to the project and enterprise comprehensive data, and storing the historical project data into a database, wherein the historical project data comprises: actual construction output value, total construction time, engineering implementation time, total project number and in-construction project number; the project-related historical personnel position data includes: using the attribute; the enterprise integrated data comprises: the number of times of the enterprise bad behaviors, the enterprise strength coefficient and the enterprise engineering bearing influence coefficient. The acquired data are all quantized data, the data in the database are updated in real time, a database DB trigger is used for detecting a database table, and the database stores the data of the database table in a row storage method;
(2) receiving a standard post coefficient and a standard engineering production value set by a user, wherein the standard post coefficient is in a proportion of: and (4) project manager: project headquarters: item Security personnel: project quality inspector: the working shift is long: the team security officer is 1:1:1:1:1.5:1.5, and the standard engineering output value is 750 ten thousand yuan;
2. calculating the maximum bearing capacity by the following calculation formula:
wherein, FmaxThe maximum bearing capacity is represented, the gamma represents a recruitment attribute, the m represents the number of bad behaviors of the enterprise, the α represents an enterprise strength coefficient, and the β represents an enterprise engineering bearing influence coefficient.
3. The method comprises the following steps of actually standardizing conversion of distribution network engineering, calculating a standard engineering conversion coefficient of each engineering, accumulating all the standard engineering conversion coefficients to obtain the total amount of the standard engineering, and specifically distributing:
the method comprises the following steps: calculating the standard conversion coefficient of the ith distribution network engineering, which specifically comprises the following steps:
wherein Si is a standard engineering conversion coefficient of the ith distribution network engineering.
Step two: calculating the total standard engineering quantity, specifically:
where n is the number of history items.
4. And calculating the load bearing saturation of the quarterly distribution network project, and taking the percentage of the total standard project and the maximum load bearing capacity as the load bearing saturation of the quarterly distribution network project.
5. Distribution network engineering bearing state evaluation, namely matching the percentage of the bearing saturation with a preset percentage interval, determining the preset percentage interval in which the percentage of the bearing saturation falls, determining the state evaluation result of the evaluation object according to the engineering bearing saturation and the state evaluation result of the evaluation object according to the evaluation result corresponding to the preset percentage interval in which the percentage of the bearing saturation falls, wherein the specific steps are as follows:
when the load saturation is (100%, + ∞), the state estimation result is an overload state;
when the bearing saturation is (90%, 100%), the state evaluation result is a saturated state;
when the bearing saturation is (70%, 90%), the state evaluation result is a reasonable state;
when the load saturation is (0, 70%), the state evaluation result is an insufficient state.
6. The operation of the engineering bearing capacity quantization model is completed through a connection rule, a working mode, a system function and a distribution function provided by software, and the simulation software obtains an evaluation result of the engineering bearing capacity according to the constructed engineering bearing capacity quantization model.
Referring to fig. 4, a device for quantitatively evaluating engineering carrying capacity according to an embodiment of the present invention includes:
the evaluation data acquisition system 301 is used for acquiring historical project data, historical personnel post data and enterprise comprehensive data of a project evaluation object, and standard post coefficients and standard project production values set by a user;
a quantitative index system establishing system 302, configured to obtain a total standard engineering quantity and a maximum bearing capacity of the evaluation object according to the historical project data, the historical staff post data, the enterprise comprehensive data, the standard post coefficient, the standard engineering output value, and a preset quantitative algorithm;
a saturation acquiring system 303, configured to take the percentage of the standard engineering total amount and the maximum bearing capacity as an engineering bearing saturation;
and the state evaluation system 304 is configured to determine a state evaluation result of the evaluation object according to the engineering bearing saturation.
Specifically, the quantization index system establishing system 302 includes:
a project data extraction module 3021a, configured to extract an actual construction output value, total construction time, total project number, and current project number from the historical project data;
a coefficient obtaining module 3022a, configured to obtain an engineering conversion coefficient according to the standard engineering output value, the actual construction output value, the total construction time, the engineering construction time, the total project number, and the current project number;
a total quantity obtaining module 3023a, configured to accumulate all the engineering conversion coefficients to obtain a standard engineering total quantity.
Specifically, the coefficient obtaining module 3022a includes:
a ratio processing submodule 30221a, configured to multiply the ratio of the actual construction output value to the standard construction output value, the ratio of the construction time to the total construction time, and the ratio of the number of construction projects to the number of total projects to obtain the engineering conversion coefficient.
Specifically, the system 302 for establishing a quantization index system further includes:
an enterprise data extraction module 3021b, configured to extract an employment attribute from the historical staff post data, and extract a number of undesirable enterprise behaviors, an enterprise strength coefficient, and an enterprise-dependent user engineering influence coefficient from the enterprise comprehensive data;
the bearing capacity obtaining module 3022b is configured to obtain the maximum bearing capacity through calculation by using a preset calculation model, the employment attribute, the number of bad behaviors of the enterprise, the enterprise strength coefficient, and the enterprise-based user engineering influence coefficient.
Specifically, the preset quantization algorithm specifically includes:
wherein, FmaxThe maximum bearing capacity is represented, the gamma represents a recruitment attribute, the m represents the number of bad behaviors of the enterprise, the α represents an enterprise strength coefficient, and the β represents an enterprise engineering bearing influence coefficient.
Specifically, the state evaluation system 304 includes:
a matching module 3041, configured to match the percentage of the load saturation with a preset percentage interval, and determine the preset percentage interval in which the percentage of the load saturation falls;
a state result determining module 3042, configured to determine a state evaluation result of the evaluation object according to the evaluation result corresponding to the preset percentage interval in which the percentage of the load saturation falls.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present application, it should be understood that the disclosed model and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A quantitative assessment method for engineering bearing capacity is characterized by comprising the following steps:
acquiring historical project data, historical personnel post data and enterprise comprehensive data of an engineering evaluation object, and standard post coefficients and standard engineering production values set by a user;
obtaining the total standard engineering amount and the maximum bearing capacity of the evaluation object according to the historical project data, the historical personnel post data, the enterprise comprehensive data, the standard post coefficient, the standard engineering output value and a preset quantitative algorithm;
taking the percentage of the standard engineering total amount and the maximum bearing capacity as engineering bearing saturation;
and determining the state evaluation result of the evaluation object according to the engineering bearing saturation.
2. The quantitative evaluation method of engineering load-bearing capacity according to claim 1, wherein said step of obtaining the standard engineering total and the maximum load-bearing capacity of said evaluation object according to said historical project data, said historical personnel position data, said enterprise integrated data, said standard position coefficient and said standard engineering yield value, and a preset quantitative algorithm comprises:
extracting employment attributes from the historical personnel post data, and extracting the times of undesirable behaviors of enterprises, the enterprise strength coefficient and the enterprise bearing user engineering influence coefficient from the enterprise comprehensive data;
and calculating to obtain the maximum bearing capacity through a preset calculation model, the employment attribute, the times of the adverse behaviors of the enterprise, the enterprise strength coefficient and the enterprise bearing user engineering influence coefficient.
3. The quantitative evaluation method of engineering load bearing capacity according to claim 2, wherein the preset quantitative algorithm is specifically:
wherein, FmaxThe maximum bearing capacity is represented, the gamma represents a recruitment attribute, the m represents the number of bad behaviors of the enterprise, the α represents an enterprise strength coefficient, and the β represents an enterprise engineering bearing influence coefficient.
4. The method for quantitatively evaluating the engineering load capacity according to claim 1, wherein the step of obtaining the standard engineering total and the maximum load capacity of the evaluation object according to the historical project data, the historical personnel position data, the enterprise comprehensive data, the standard position coefficient, the standard engineering yield value and a preset quantitative algorithm further comprises:
extracting actual construction output values, total construction time, engineering construction time, total project number and in-construction project number from the historical project data;
obtaining an engineering conversion coefficient according to the standard engineering output value, the actual construction output value, the total construction time, the engineering construction time, the total project number and the project number under construction;
and accumulating all the engineering conversion coefficients to obtain the total standard engineering quantity.
5. The quantitative evaluation method of engineering bearing capacity according to claim 4, wherein the step of obtaining engineering conversion coefficients according to the standard engineering output value, the actual construction output value, the total construction time, the engineering construction time, the total project number and the project number under construction comprises:
and multiplying the ratio of the actual construction output value to the standard construction output value, the ratio of the construction time to the total construction time, and the ratio of the number of the project under construction to the total number of the projects to obtain the engineering conversion coefficient.
6. The method according to claim 1, wherein the step of determining the state evaluation result of the evaluation object according to the engineering load saturation comprises:
matching the percentage of the bearing saturation degree with a preset percentage interval, and determining the preset percentage interval in which the percentage of the bearing saturation degree falls;
and determining the state evaluation result of the evaluation object according to the evaluation result corresponding to the preset percentage interval in which the percentage of the bearing saturation falls.
7. The quantitative evaluation method of engineering load-bearing capacity according to claim 6, wherein the state evaluation result specifically comprises:
when the load saturation is (100%, + ∞), the state estimation result is an overload state;
when the bearing saturation is (90%, 100%), the state evaluation result is a saturated state;
when the bearing saturation is (70%, 90%), the state evaluation result is a reasonable state;
when the load saturation is (0, 70%), the state evaluation result is an insufficient state.
8. A quantitative assessment device for engineering bearing capacity is characterized by comprising:
the evaluation data acquisition system is used for acquiring historical project data, historical personnel post data and enterprise comprehensive data of the project evaluation object, and standard post coefficients and standard project production values set by a user;
a quantitative index system establishing system for obtaining the standard engineering total amount and the maximum bearing capacity of the evaluation object according to the historical project data, the historical personnel post data, the enterprise comprehensive data, the standard post coefficient, the standard engineering output value and a preset quantitative algorithm;
the saturation acquisition system is used for taking the percentage of the standard engineering total amount and the maximum bearing capacity as the engineering bearing saturation;
and the state evaluation system is used for determining the state evaluation result of the evaluation object according to the engineering bearing saturation.
9. The apparatus for quantitative assessment of engineering load-bearing capacity according to claim 8, wherein the quantitative index system establishment system comprises:
the enterprise data extraction module is used for extracting the recruitment attribute from the historical personnel post data and extracting the enterprise adverse behavior times, the enterprise strength coefficient and the enterprise bearing user engineering influence coefficient from the enterprise comprehensive data;
and the bearing capacity acquisition module is used for calculating the maximum bearing capacity through a preset calculation model, the employment attribute, the times of the adverse behaviors of the enterprise, the enterprise strength coefficient and the enterprise bearing user engineering influence coefficient.
10. The quantitative evaluation device of engineering load bearing capacity according to claim 9, wherein the preset quantitative algorithm is specifically:
wherein, FmaxThe maximum bearing capacity is represented, the gamma represents a recruitment attribute, the m represents the number of bad behaviors of the enterprise, the α represents an enterprise strength coefficient, and the β represents an enterprise engineering bearing influence coefficient.
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| CN202010506430.6A CN111652517A (en) | 2020-06-05 | 2020-06-05 | Quantitative evaluation method and device for engineering bearing capacity |
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