Building engineering project management system and method

Abstract

The invention relates to the technical field of building engineering construction management, and relates to a building engineering project management system and method. The method comprises the following steps: dividing a building project into a plurality of sub-projects; evaluating implementation information of each sub-project; constructing a quality inspection table for each sub-project, and associating the quality inspection table corresponding to each sub-project with implementation information; obtaining a quality inspection table filled according to the actual construction condition of each sub-project, and obtaining associated implementation information according to the quality inspection table; whether the quality inspection information is qualified or not is judged, if yes, estimated consumable information and sub-project execution fund information of the sub-project are recorded, and if not, the quality inspection information is fed back to the construction party; respectively updating consumable stock information and total project execution fund information based on the recorded sub-project estimated consumable information and sub-project execution fund information; and updating the total project construction progress information based on the total project execution fund information. According to the invention, data management of multiple pieces of information of the constructional engineering can be realized.

Description

Technical Field

[0001] The present invention relates to the technical field of building engineering construction management, and in particular to a building engineering project management system and method. Background Art

[0002] Construction projects are usually large-scale and involve many construction workers, which makes project management more difficult. The large number and variety of materials used in construction make it difficult to manage the in and out of the consumables. Based on this, large-scale construction projects have an increasingly urgent need for project management systems and management methods.

[0003] Although the existing project management system can solve the above problems to a certain extent, such as the technical solution disclosed in the invention patent CN114548685A, the construction project progress management method, system, electronic equipment and storage medium, it has achieved the systematization and onlineization of the management and supervision process, so that the relevant construction participants can upload the relevant progress information in the system in time, and then improve the management efficiency through online process management. However, it only involves the management of project progress, and it is difficult to manage other information of the construction project.

[0004] Based on the technical problems existing in the prior art, the goal of this application is to achieve systematic management of more information of construction engineering projects. Summary of the invention

[0005] The purpose of the present invention is to provide a construction project management system and method, which aims to achieve systematic management of more information of construction projects.

[0006] The embodiments of the present invention are implemented by the following technical solutions:

[0007] First, provide construction project management methods, including:

[0008] Divide the construction project into multiple sub-projects;

[0009] Evaluate the implementation information of each sub-project, including estimated consumables information, sub-project execution payment information, and construction qualification judgment information;

[0010] Constructing a quality inspection table for each sub-project, associating the quality inspection table corresponding to each sub-project with the implementation information; and aggregating the quality inspection tables and implementation information of all sub-projects into a database;

[0011] Obtain the quality inspection form filled in according to the actual construction situation of each sub-project, and obtain the related implementation information according to the quality inspection form; determine whether the quality inspection information is qualified. If qualified, record the estimated consumables information and sub-project execution payment information of the sub-project; if unqualified, feedback the quality inspection information to the construction party;

[0012] Based on the recorded sub-project estimated consumables information and sub-project execution payment information, the consumables inventory information and the total project execution payment information are updated respectively; and based on the total project execution payment information, the total project construction progress information is updated.

[0013] Furthermore, dividing the construction project into a plurality of sub-projects also includes:

[0014] Each subproject gets a unique project code.

[0015] Furthermore, the associating the quality inspection table corresponding to each sub-project with the implementation information is specifically as follows:

[0016] The data association between the quality inspection table and the implementation information corresponding to each sub-project is realized based on the project code.

[0017] Furthermore, the construction project management method also includes:

[0018] Based on the updated consumables inventory information, forecast inventory purchases, specifically:

[0019] Obtain the daily consumption data, daily rainfall and average temperature of each consumable in a preset historical time period, and obtain the predicted daily rainfall and predicted average temperature in a preset future time period;

[0020] Perform data cleaning on the acquired daily consumption data, daily rainfall and average temperature data;

[0021] Build a consumables consumption prediction model and train the model using the daily consumption data, daily rainfall, and average temperature data sets obtained after cleaning;

[0022] Inputting the predicted daily rainfall and predicted average temperature of a preset future time period into the consumables consumption prediction model to obtain the predicted daily consumables consumption of the future time period;

[0023] Based on the updated consumables inventory information and the predicted daily consumables consumption, when the consumables inventory is less than a preset value, a reminder to purchase consumables is provided.

[0024] Furthermore, the selection of daily rainfall and average temperature data includes:

[0025] The correlation between multiple environmental parameters and consumables consumption is obtained based on the Pearson correlation coefficient, and the daily rainfall and average temperature data with correlation higher than the preset correlation threshold are used as input parameters of the consumables consumption prediction model.

[0026] Furthermore, the consumables consumption prediction model adopts a multiple linear regression model, and its expression is as follows:

[0027]

[0028] in, represents the consumption of the mth consumable on the i-th day, i∈(1,2,3,…,n), n is the total number of days in the time period, m∈(1,2,3,…,j), j is the number of consumable categories; R i represents the rainfall on the i-th day; T i represents the average temperature on the i-th day; β0 represents the intercept term, β1 and β2 represent the regression coefficients corresponding to each independent variable; b is the random error term.

[0029] Furthermore, the training model using the cleaned single-day consumption data, daily rainfall and average temperature data specifically includes:

[0030] The cleaned single-day consumption data, daily rainfall and average temperature data sets are divided into training sets and test sets, with the training set accounting for 70% and the test set accounting for 30%;

[0031] The consumables consumption prediction model is trained using the training set, and then the consumables consumption prediction model is evaluated using the test set, and the evaluation index is the mean square error or the mean absolute error.

[0032] Second, provide construction project management system, including:

[0033] Project division module, used to divide the construction project into multiple sub-projects;

[0034] The project evaluation module is used to evaluate the implementation information of each sub-project, including estimated consumables information, sub-project execution payment information, and construction qualification judgment information;

[0035] A database module is used to construct a quality inspection table and associate the quality inspection table corresponding to each sub-project with the implementation information; and then aggregate the quality inspection tables and implementation information of all sub-projects to form a database;

[0036] The inspection and judgment module is used to obtain the quality inspection form filled in according to the actual construction situation of each sub-project, and obtain the related implementation information according to the quality inspection form; judge whether the quality inspection information is qualified, if qualified, record the estimated consumables information and sub-project execution payment information of the sub-project, if unqualified, feedback the quality inspection information to the construction party;

[0037] The construction progress statistics module is used to update the consumables inventory information and the total project execution payment information based on the recorded sub-project estimated consumables information and sub-project execution payment information; and to update the total project construction progress information based on the total project execution payment information.

[0038] Furthermore, it also includes: an inventory purchase forecasting module, which is used to determine whether the consumable inventory is less than a preset value based on the updated consumable inventory information and the predicted daily consumable consumption, and when the consumable inventory is less than the preset value, a reminder to purchase consumables.

[0039] Furthermore, the specific working method of the inventory purchase forecasting module is as follows:

[0040] Obtain the daily consumption data, daily rainfall and average temperature of each consumable in a preset historical time period, and obtain the predicted daily rainfall and predicted average temperature in a preset future time period;

[0041] Perform data cleaning on the acquired daily consumption data, daily rainfall and average temperature data;

[0042] A consumables consumption prediction model was constructed, and the model was trained using the single-day consumption data, daily rainfall, and average temperature data sets obtained after cleaning; the consumables consumption prediction model adopted a multivariate linear regression model, and its expression is as follows:

[0043]

[0044] in, represents the consumption of the mth consumable on the i-th day, i∈(1,2,3,…,n), n is the total number of days in the time period, m∈(1,2,3,…,j), j is the number of consumable categories; R i represents the rainfall on the i-th day; T i represents the average temperature on the i-th day; β0 represents the intercept term, β1 and β2 represent the regression coefficients corresponding to each independent variable; b is the random error term;

[0045] Inputting the predicted daily rainfall and predicted average temperature of a preset future time period into the consumables consumption prediction model to obtain the predicted daily consumables consumption of the future time period;

[0046] Based on the updated consumables inventory information and the predicted daily consumables consumption, when the consumables inventory is less than a preset value, a reminder to purchase consumables is provided.

[0047] The technical solution of the embodiment of the present invention has at least the following advantages and beneficial effects:

[0048] The present invention strongly associates the information in the quality inspection table with the relevant sub-project implementation information, thereby achieving the ability to obtain construction implementation information at the same time as the project quality inspection, and update the consumables inventory and related project execution payment information based on the implementation information, so that information such as the inventory status of consumables can be obtained according to the progress of the project, and the consumption of the consumables inventory can be further predicted to formulate a reasonable consumables purchase plan; that is, the solution of the present invention can achieve data management of multiple information of construction projects. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 This is a schematic diagram of the construction project management method provided in Example 1 of the present invention. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0051] Example 1

[0052] like Figure 1 As shown, this embodiment provides a construction project management method, including:

[0053] The construction project is divided into multiple sub-projects; and each sub-project obtains a unique project code. It should be noted that the purpose of obtaining a unique project code here is to attach the unique project code to all data information or data tables generated in the sub-project in the name or data, based on which all data in the sub-project can be associated. In addition, in the data form involving all sub-projects, the unique project code is also used as a data field in the data form.

[0054] Evaluate the implementation information of each sub-project, including estimated consumables information, sub-project execution payment information, and construction qualification judgment information.

[0055] A quality inspection form is constructed for each sub-project, and the quality inspection form corresponding to each sub-project is associated with the implementation information; and the quality inspection forms and implementation information of all sub-projects are aggregated to form a database; as mentioned above, the aggregated data can be a data form involving all sub-projects, and the unique project code will be used as a data field in the data form. It should be noted that the quality inspection form in this embodiment can only be presented based on a specific electronic device, and the specific electronic device can be an intelligent electronic device with relevant software and information viewing through account login, such as a mobile phone, a tablet, etc.; it can also be a special quality inspection electronic device. The data that needs to be filled in the quality inspection form mainly includes two categories, one is whether it is qualified, and the other is specific measurement parameters. It should be noted that when filling in the quality inspection information on a specific electronic device, the electronic device will record the filled-in positioning information, and associate it with the filled-in quality inspection form and upload it to the system together.

[0056] It is understandable that when verifying the credibility of the information filled in the quality inspection form, a rough screening can be performed through positioning information to avoid the relevant quality inspection personnel from subjectively writing quality inspection data without going to the site.

[0057] Obtain the quality inspection form filled out according to the actual construction situation of each sub-project, and obtain the related implementation information based on the quality inspection form; determine whether the quality inspection information is qualified, if qualified, record the estimated consumables information and sub-project execution payment information of the sub-project; if unqualified, feedback the quality inspection information to the construction party; it should be noted that, under normal circumstances, the accuracy of the consumables budget of the project is higher; and the project execution payment can be the subcontracting fees of each sub-project formulated when the project is subcontracted, or it can be the cost budget estimated to be spent on each sub-project.

[0058] Based on the recorded sub-project estimated consumables information and sub-project execution payment information, the consumables inventory information and the total project execution payment information are updated respectively; and based on the total project execution payment information, the total project construction progress information is updated.

[0059] After updating the consumables inventory information, inventory purchases can also be predicted based on the updated consumables inventory information, thereby providing relevant data support for the consumables procurement plan for the engineering project.

[0060] Specifically, first obtain the daily consumption data, daily rainfall and average temperature of each consumable in the preset historical time period, and obtain the predicted daily rainfall and predicted average temperature of the preset future time period. It should be noted that the average temperature refers to the average temperature of the day; in addition, the reason for selecting the daily rainfall and average temperature is that the average temperature will have a certain impact on the work efficiency of the workers. For example, when the temperature is high in summer and low in winter, the work efficiency of the workers will decrease. When the work efficiency of the workers decreases, the consumables used will be reduced. In addition, since most construction projects are outdoor operations, when the rainfall is large, it will also affect the development of the project and have a greater impact on the consumption of consumables; of course, there are other environmental factors that will also affect the consumption of consumables, such as humidity. When the humidity is high, the setting time of concrete will be affected, which will also affect the consumption of consumables. For example, wind data, when the wind is strong, some high-altitude operations will be affected, which will affect the consumption of consumables.

[0061] It can be seen that there are many factors that affect the consumption of consumables. The reason why only daily rainfall and average temperature are selected in this embodiment is that we obtain the correlation between multiple environmental parameters and consumables consumption based on the Pearson correlation coefficient, and based on this, we use the daily rainfall and average temperature data with correlations higher than the preset correlation threshold as input parameters of the consumables consumption prediction model. The correlation threshold here can be 80%.

[0062] In addition, the Spearman rank correlation coefficient can also be used to obtain the correlation between the environmental parameters and the consumables consumption. The above specific correlation analysis method is not described in detail in this embodiment.

[0063] After the above process, the acquired daily consumption data, daily rainfall and average temperature data need to be cleaned; data cleaning includes the processing of missing values ​​and outliers.

[0064] Then, we build a consumables consumption prediction model and use the daily consumption data, daily rainfall and average temperature data sets obtained after cleaning to train the model.

[0065] The cleaned single-day consumption data, daily rainfall and average temperature data sets are divided into training sets and test sets, with the training set accounting for 70% and the test set accounting for 30%.

[0066] The consumables consumption prediction model is trained using the training set, and then the consumables consumption prediction model is evaluated using the test set, and the evaluation index is the mean square error or the mean absolute error.

[0067] It should be noted that the consumables consumption prediction model in this embodiment adopts a multiple linear regression model, and its expression is as follows:

[0068]

[0069] in, represents the consumption of the mth consumable on the i-th day, i∈(1,2,3,…,n), n is the total number of days in the time period, m∈(1,2,3,…,j), j is the number of consumable categories; R i represents the rainfall on the i-th day; T i represents the average temperature on the i-th day; β0 represents the intercept term, β1 and β2 represent the regression coefficients corresponding to each independent variable; b is the random error term.

[0070] The predicted daily rainfall and predicted average temperature for a preset future time period are input into the consumables consumption prediction model to obtain the predicted daily consumables consumption for the future time period.

[0071] Based on the updated consumables inventory information and the predicted daily consumables consumption, when the consumables inventory is less than a preset value, a reminder to purchase consumables is provided.

[0072] Based on the above method, the present invention strongly associates the information in the quality inspection table with the relevant sub-project implementation information, thereby achieving the ability to obtain construction implementation information at the same time as the project quality inspection, and update the consumables inventory and related project execution payment information based on the implementation information, so that the inventory status of consumables can be understood according to the progress of the project, and the consumption of consumables inventory can be further predicted, and a reasonable consumables purchase plan can be formulated. The solution of the present invention can realize data management of multiple information of construction projects.

[0073] Example 2

[0074] Provide construction project management system, including:

[0075] The project division module is used to divide the construction project into multiple sub-projects; and each sub-project obtains a unique project code.

[0076] The project evaluation module is used to evaluate the implementation information of each sub-project, which includes estimated consumables information, sub-project execution payment information and construction qualification judgment information.

[0077] The database module is used to construct a quality inspection table and associate the quality inspection table corresponding to each sub-project with the implementation information; then the quality inspection tables and implementation information of all sub-projects are aggregated to form a database; the aggregated data can be a data form involving all sub-projects, and the unique project code will be used as a data field in the data form.

[0078] The inspection and judgment module is used to obtain the quality inspection form filled out according to the actual construction situation of each sub-project, and obtain the related implementation information based on the quality inspection form; judge whether the quality inspection information is qualified. If qualified, record the estimated consumables information and sub-project execution payment information of the sub-project; if unqualified, feedback the quality inspection information to the construction party.

[0079] The construction progress statistics module is used to update the consumables inventory information and the total project execution payment information based on the recorded sub-project estimated consumables information and sub-project execution payment information; and to update the total project construction progress information based on the total project execution payment information.

[0080] It also includes: an inventory purchase prediction module, which is used to determine whether the consumable inventory is less than a preset value based on the updated consumable inventory information and the predicted daily consumable consumption. When the consumable inventory is less than the preset value, a reminder to purchase consumables is given.

[0081] The specific working method of the inventory purchase forecasting module is as follows:

[0082] Obtain the daily consumption data, daily rainfall and average temperature of each consumable in a preset historical time period, and obtain the predicted daily rainfall and predicted average temperature in a preset future time period;

[0083] Perform data cleaning on the acquired daily consumption data, daily rainfall and average temperature data;

[0084] A consumables consumption prediction model was constructed, and the model was trained using the single-day consumption data, daily rainfall, and average temperature data sets obtained after cleaning; the consumables consumption prediction model adopted a multivariate linear regression model, and its expression is as follows:

[0085]

[0086] in, represents the consumption of the mth consumable on the i-th day, i∈(1,2,3,…,n), n is the total number of days in the time period, m∈(1,2,3,…,j), j is the number of consumable categories; R i represents the rainfall on the i-th day; T i represents the average temperature on the i-th day; β0 represents the intercept term, β1 and β2 represent the regression coefficients corresponding to each independent variable; b is the random error term;

[0087] Inputting the predicted daily rainfall and predicted average temperature of a preset future time period into the consumables consumption prediction model to obtain the predicted daily consumables consumption of the future time period;

[0088] Based on the updated consumables inventory information and the predicted daily consumables consumption, when the consumables inventory is less than a preset value, a reminder to purchase consumables is provided.

[0089] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. Construction project management method, characterized by: include: Divide the construction project into multiple sub-projects; Evaluate the implementation information of each sub-project, including estimated consumables information, sub-project execution payment information, and construction qualification judgment information; Constructing a quality inspection table for each sub-project, associating the quality inspection table corresponding to each sub-project with the implementation information; and aggregating the quality inspection tables and implementation information of all sub-projects into a database; Obtain the quality inspection form filled in according to the actual construction situation of each sub-project, and obtain the related implementation information according to the quality inspection form; determine whether the quality inspection information is qualified. If qualified, record the estimated consumables information and sub-project execution payment information of the sub-project; if unqualified, feedback the quality inspection information to the construction party; Based on the recorded sub-project estimated consumables information and sub-project execution payment information, the consumables inventory information and the total project execution payment information are updated respectively; And based on the total project execution payment information, the total project construction progress information is updated.

2. The construction project management method according to claim 1, characterized in that: The said dividing the construction project into a plurality of sub-projects also includes: Each subproject gets a unique project code.

3. The construction project management method according to claim 2, characterized in that: The specific steps of associating the quality inspection table corresponding to each sub-project with the implementation information are as follows: The data association between the quality inspection table and the implementation information corresponding to each sub-project is realized based on the project code.

4. The construction project management method according to claim 1, characterized in that: The construction project management method also includes: Based on the updated consumables inventory information, forecast inventory purchases, specifically: Obtain the daily consumption data, daily rainfall and average temperature of each consumable in a preset historical time period, and obtain the predicted daily rainfall and predicted average temperature in a preset future time period; Perform data cleaning on the acquired daily consumption data, daily rainfall and average temperature data; Build a consumables consumption prediction model and train the model using the daily consumption data, daily rainfall, and average temperature data sets obtained after cleaning; Inputting the predicted daily rainfall and predicted average temperature of a preset future time period into the consumables consumption prediction model to obtain the predicted daily consumables consumption of the future time period; Based on the updated consumables inventory information and the predicted daily consumables consumption, when the consumables inventory is less than a preset value, a reminder to purchase consumables is provided.

5. The construction project management method according to claim 4, characterized in that: The selection of daily rainfall and average temperature data includes: The correlation between multiple environmental parameters and consumables consumption is obtained based on the Pearson correlation coefficient, and the daily rainfall and average temperature data with correlation higher than the preset correlation threshold are used as input parameters of the consumables consumption prediction model.

6. The construction project management method according to claim 4, characterized in that: The consumables consumption prediction model adopts a multiple linear regression model, and its expression is as follows: in, represents the consumption of the mth consumable on the i-th day, i∈(1,2,3,…,n), n is the total number of days in the time period, m∈(1,2,3,…,j), j is the number of consumable categories; R i represents the rainfall on the i-th day; T i represents the average temperature on the i-th day; β0 represents the intercept term, β1 and β2 represent the regression coefficients corresponding to each independent variable; b is the random error term.

7. The construction project management method according to claim 4, characterized in that: The training model using the cleaned single-day consumption data, daily rainfall and average temperature data specifically includes: The cleaned single-day consumption data, daily rainfall and average temperature data sets are divided into training sets and test sets, with the training set accounting for 70% and the test set accounting for 30%; The consumables consumption prediction model is trained using the training set, and then the consumables consumption prediction model is evaluated using the test set, and the evaluation index is the mean square error or the mean absolute error.

8. Construction project management system, characterized by: include: Project division module, used to divide the construction project into multiple sub-projects; The project evaluation module is used to evaluate the implementation information of each sub-project, including estimated consumables information, sub-project execution payment information, and construction qualification judgment information; A database module is used to construct a quality inspection table and associate the quality inspection table corresponding to each sub-project with the implementation information; and then aggregate the quality inspection tables and implementation information of all sub-projects to form a database; The inspection and judgment module is used to obtain the quality inspection form filled in according to the actual construction situation of each sub-project, and obtain the related implementation information according to the quality inspection form; judge whether the quality inspection information is qualified, if qualified, record the estimated consumables information and sub-project execution payment information of the sub-project, if unqualified, feedback the quality inspection information to the construction party; The construction progress statistics module is used to update the consumables inventory information and the total project execution payment information based on the recorded sub-project estimated consumables information and sub-project execution payment information; and to update the total project construction progress information based on the total project execution payment information.

9. The construction project management system according to claim 8, characterized in that: Also includes: The inventory purchase prediction module is used to determine whether the consumable inventory is less than a preset value based on the updated consumable inventory information and the predicted daily consumable consumption, and to remind the purchase of consumables when the consumable inventory is less than the preset value.

10. The construction project management system according to claim 9, characterized in that: The specific working method of the inventory purchase forecasting module is as follows: Obtain the daily consumption data, daily rainfall and average temperature of each consumable in a preset historical time period, and obtain the predicted daily rainfall and predicted average temperature in a preset future time period; Perform data cleaning on the acquired daily consumption data, daily rainfall and average temperature data; A consumables consumption prediction model was constructed, and the model was trained using the single-day consumption data, daily rainfall, and average temperature data sets obtained after cleaning; the consumables consumption prediction model adopted a multivariate linear regression model, and its expression is as follows: in, represents the consumption of the mth consumable on the i-th day, i∈(1,2,3,…,n), n is the total number of days in the time period, m∈(1,2,3,…,j), j is the number of consumable categories; R i represents the rainfall on the i-th day; T i represents the average temperature on the i-th day; β0 represents the intercept term, β1 and β2 represent the regression coefficients corresponding to each independent variable; b is the random error term; Inputting the predicted daily rainfall and predicted average temperature of a preset future time period into the consumables consumption prediction model to obtain the predicted daily consumables consumption of the future time period; Based on the updated consumables inventory information and the predicted daily consumables consumption, when the consumables inventory is less than a preset value, a reminder to purchase consumables is provided.

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