Energy consumption prediction and calculation method under whole life cycle of construction project construction

Abstract

The invention discloses an energy consumption prediction and calculation method under a construction life cycle of a construction project, and the method comprises the steps: obtaining a construction scheme of a current construction project, and determining a plurality of to-be-constructed project tasks; obtaining a specific task attribute of each engineering task and an energy consumption type of each specific task attribute; calling a corresponding energy consumption prediction model according to the energy consumption type for performing energy consumption prediction on the corresponding specific task attribute to obtain a plurality of energy consumption prediction results of the engineering task, and forming an initial energy consumption prediction result set; performing energy consumption association analysis on each initial energy consumption prediction result set according to an association relationship of energy consumption types between every two specific task attributes to obtain an association result, and endowing each energy consumption prediction result in the initial energy consumption prediction result set with a corresponding weight; and according to the initial energy consumption prediction result set and the corresponding weight, performing weighted summation to obtain an energy consumption prediction result of each engineering task, and performing summation calculation to obtain an energy consumption prediction result in the whole life cycle of the current construction engineering.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy consumption calculation, and specifically relates to a method for predicting and calculating energy consumption during the entire life cycle of a construction project. Background Art

[0002] The energy consumption of construction projects refers to the total energy consumption (material cost, energy cost and labor cost) required for the implementation of various engineering projects in the construction project. Predicting the energy consumption of construction projects in advance can help users better manage construction costs, prevent energy consumption exceeding expectations during the construction process, resulting in project suspension, and improve the construction efficiency of construction projects.

[0003] The existing method for predicting energy consumption of construction projects is usually to predict energy consumption for each construction process during the construction process, and finally to determine the energy consumption prediction result for the entire life cycle of the construction project by counting all energy consumption prediction results. However, after the existing technology subdivides all construction processes separately, it does not take into account the energy consumption correlation brought about by the same projects in two adjacent construction processes to produce a lower energy consumption effect, resulting in the problem of low accuracy of energy consumption prediction results when predicting the energy consumption of the construction project throughout its life cycle. Summary of the invention

[0004] In view of this, the purpose of the present invention is to provide a method for predicting and calculating energy consumption during the entire life cycle of a construction project, so as to solve the above-mentioned technical problems.

[0005] In order to achieve the above object, the present invention provides the following technical solutions:

[0006] A method for predicting and calculating energy consumption during the entire life cycle of a construction project, comprising:

[0007] Obtain the construction plan of the current construction project, and determine multiple engineering tasks to be constructed according to the construction plan;

[0008] Obtaining specific task attributes of each engineering task, and obtaining energy consumption type of each specific task attribute;

[0009] According to the energy consumption type, the corresponding energy consumption prediction model in the database is called, and the energy consumption prediction of the corresponding specific task attributes is performed according to the energy consumption prediction model to obtain multiple energy consumption prediction results for each engineering task to form an initial energy consumption prediction result set;

[0010] According to the correlation relationship between energy consumption types between two specific task attributes, energy consumption correlation analysis is performed on each initial energy consumption prediction result set, and the correlation result is used to assign corresponding weights to each energy consumption prediction result in the initial energy consumption prediction result set;

[0011] According to the initial energy consumption forecast result set and the corresponding weights, the weighted sum is used to obtain the energy consumption forecast result of each engineering task, which is then used to calculate the energy consumption forecast result of the current construction project over its entire life cycle.

[0012] Furthermore, a construction plan of the current construction project is obtained, and multiple engineering tasks to be constructed are determined according to the construction plan, including:

[0013] Obtain the construction plan for the current construction project under the full life cycle that has been planned before construction;

[0014] A preset engineering task classification method is obtained to classify the engineering tasks of the construction plan, and a plurality of engineering tasks to be constructed are obtained.

[0015] Further, the specific task attributes of each engineering task are obtained, and the energy consumption type of each specific task attribute is obtained, including:

[0016] Obtaining a preset specific task attribute classification method; wherein each specific task attribute in the specific task attribute classification method includes a complete construction process;

[0017] According to the specific task attribute classification method, each engineering task is classified by task attributes to obtain the specific task attributes of each engineering task; wherein each specific task attribute includes a complete construction process;

[0018] Based on the extraction scenarios corresponding to the training samples in several pre-trained energy consumption prediction models, and according to the complete construction process contained in each specific task attribute, the energy consumption type of the construction corresponding to each specific task attribute is determined.

[0019] Furthermore, the corresponding energy consumption prediction model in the database is called according to the energy consumption type, and the energy consumption prediction of the corresponding specific task attributes is performed according to the energy consumption prediction model to obtain multiple energy consumption prediction results for each engineering task, forming an initial energy consumption prediction result set, including:

[0020] Pre-acquire a number of training samples in extraction scenarios corresponding to different construction projects, and use them to train and generate multiple energy consumption prediction models corresponding to different extraction scenarios, and store them in a database;

[0021] Obtain the energy consumption type of any specific task attribute, and call the energy consumption prediction model in the database that matches the extracted scene corresponding to the construction of the energy consumption type according to the energy consumption type;

[0022] Input specific task attributes into the corresponding energy consumption prediction model, and output the energy consumption prediction result corresponding to the specific task attributes;

[0023] A plurality of energy consumption prediction results corresponding to a plurality of specific task attributes included in each engineering task are obtained to form an initial energy consumption prediction result set.

[0024] Furthermore, according to the correlation relationship between energy consumption types between two specific task attributes, energy consumption correlation analysis is performed on each initial energy consumption prediction result set, and the correlation results are used to assign corresponding weights to each energy consumption prediction result in the initial energy consumption prediction result set, including:

[0025] Obtain all specific task attributes corresponding to any engineering task, sort all specific task attributes according to the construction sequence, and mark each specific task attribute in sequence according to the sorting result, which is recorded as the pth attribute;

[0026] Determine whether there is an energy consumption correlation relationship between the pth attribute and the p+1th attribute, and obtain a determination result; wherein the energy consumption correlation relationship refers to the existence of construction projects of the same energy consumption type in the construction scenes corresponding to the two specific task attributes;

[0027] If the judgment result is that there is an energy consumption correlation relationship, and the target construction project in the construction scene corresponding to the pth attribute can assist the target construction project corresponding to the p+1th attribute to be partially implemented in advance during implementation, calculate the second energy consumption result of the target construction project corresponding to the p+1th attribute when it is partially implemented in advance;

[0028] The rear weight of the energy consumption prediction result corresponding to the pth attribute is calculated according to the second energy consumption result. The calculation formula includes:

[0029]

[0030] Among them, Z e is the posterior weight, j is the second energy consumption result, and k is the energy consumption prediction result corresponding to the pth attribute;

[0031] Determine whether there is an energy consumption correlation relationship between the p-th attribute and the p-1-th attribute, and obtain a second determination result;

[0032] If the second judgment result is that there is an energy consumption correlation relationship, and the target construction project in the construction scene corresponding to the p-1th attribute can assist the target construction project corresponding to the pth attribute to be partially implemented in advance when implemented, a third energy consumption prediction result of the target construction project corresponding to the pth attribute when partially implemented in advance is predicted according to the corresponding energy consumption prediction model;

[0033] The front weight of the energy consumption prediction result corresponding to the pth attribute is calculated according to the third energy consumption prediction result, and the calculation formula includes:

[0034]

[0035] Among them, Zu is the front weight, i is the third energy consumption prediction result;

[0036] The front weight and the rear weight of the p-th attribute are calculated to obtain the weight of the energy consumption prediction result corresponding to the p-th attribute. The calculation formula includes:

[0037] Z=(1+Z e -Z u )*k

[0038] Among them, Z is the weight of the energy consumption prediction result.

[0039] Furthermore, according to the initial energy consumption forecast result set and the corresponding weights, the energy consumption forecast result of each engineering task is obtained by weighted summation, and the energy consumption forecast result of the current construction project under the full life cycle is calculated by summation, including:

[0040] Get the initial energy consumption prediction result set K y ={k 1，y , k 2，y , …, k n，y} and the corresponding weight H y ={h 1，y ,h 2，y ,…,h n，y};

[0041] According to the initial energy consumption prediction result set and the corresponding weights, the energy consumption prediction result of each engineering task is obtained by weighted summation. The calculation formula is:

[0042]

[0043] Among them, G y is the energy consumption prediction result of the yth engineering task, k m，y is the initial energy consumption prediction result set K corresponding to the yth engineering task y The energy consumption prediction result corresponding to the mth specific task attribute in h m，y is the corresponding weight H corresponding to the y-th engineering task y The corresponding weight of the energy consumption prediction result corresponding to the mth specific task attribute in , n is the initial energy consumption prediction result set K corresponding to the yth engineering task y and the corresponding weight H y The number of elements in ;

[0044] Based on the energy consumption forecast results of all engineering tasks, the energy consumption forecast results of the current construction project over the entire life cycle are calculated by summing them up. The calculation formula is:

[0045]

[0046] Where N is the energy consumption prediction result of the current construction project during its entire life cycle, x is the number of engineering tasks included in the construction plan of the current construction project, y∈x, G x It is the energy consumption prediction result of the xth engineering task.

[0047] The beneficial effects of the present invention are:

[0048] The present invention proposes a method for predicting and calculating energy consumption during the entire life cycle of a construction project, which is used to solve the problem that the prior art subdivides all construction processes separately without taking into account the energy consumption correlation brought about by the same projects in two adjacent construction processes to produce a lower energy consumption effect, resulting in low accuracy of energy consumption prediction results when predicting the energy consumption of a construction project during its entire life cycle.

[0049] Other advantages, objectives and features of the present invention will be described in the following description and will be apparent to those skilled in the art to some extent, or they may be taught from the practice of the present invention. The purposes and other advantages of the present invention may be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0050] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0052] Figure 1 A method flow chart of a method for predicting and calculating energy consumption during the entire life cycle of a construction project in an embodiment of the present invention;

[0053] Figure 2 A flowchart for determining engineering tasks in a method for predicting and calculating energy consumption during the entire life cycle of a construction project in an embodiment of the present invention;

[0054] Figure 3 A flow chart for determining energy consumption types in a method for predicting and calculating energy consumption during the entire life cycle of a construction project in an embodiment of the present invention;

[0055] Figure 4 A flow chart is provided for constructing an initial energy consumption prediction result set in a method for predicting and calculating energy consumption during the entire life cycle of a construction project in an embodiment of the present invention. DETAILED DESCRIPTION

[0056] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0057] like Figure 1 As shown, the present invention proposes a method for predicting and calculating energy consumption during the entire life cycle of a construction project, including:

[0058] S101, obtaining a construction plan for the current construction project, and determining a plurality of engineering tasks to be constructed according to the construction plan;

[0059] S102, obtaining specific task attributes of each engineering task, and obtaining the energy consumption type of each specific task attribute;

[0060] S103, calling the corresponding energy consumption prediction model in the database according to the energy consumption type, performing energy consumption prediction on the corresponding specific task attributes according to the energy consumption prediction model, obtaining multiple energy consumption prediction results for each engineering task, and forming an initial energy consumption prediction result set;

[0061] S104, performing energy consumption correlation analysis on each initial energy consumption prediction result set according to the correlation relationship between energy consumption types between two specific task attributes, and obtaining correlation results to assign corresponding weights to each energy consumption prediction result in the initial energy consumption prediction result set;

[0062] S105, according to the initial energy consumption prediction result set and the corresponding weights, weighted sum is performed to obtain the energy consumption prediction result of each engineering task, and the energy consumption prediction result of the current construction project under the full life cycle is calculated by summing up;

[0063] The working principle and beneficial effects of the above technical scheme are as follows: the present invention proposes a method for predicting and calculating energy consumption during the entire life cycle of a construction project, which is used to solve the problem that the prior art, after separately subdividing all construction processes, does not take into account the energy consumption correlation brought about by the same projects in two adjacent construction processes to produce the effect of lower energy consumption, resulting in the prior art having low accuracy of energy consumption prediction results when predicting the energy consumption during the entire life cycle of the construction project. Specifically, firstly, a construction plan for the current construction project is obtained, and a plurality of engineering tasks to be constructed are determined according to the construction plan. After determining the engineering tasks, the specific task attributes of each engineering task and the energy consumption type of each specific task attribute are obtained. Finally, the corresponding energy consumption prediction model in the database is called according to the energy consumption type, and energy consumption is predicted for the corresponding specific task attributes according to the energy consumption prediction model. Multiple energy consumption prediction results for each engineering task are obtained to form an initial energy consumption prediction result set. Compared with the prior art, the above steps are more accurate in subdividing the construction process. The project was subdivided twice, from the engineering task to each specific task attribute included in the engineering task, which is more conducive to improving the accuracy of energy consumption prediction; after determining the initial energy consumption prediction result set, according to the correlation relationship between the energy consumption types of the specific task attributes, an energy consumption correlation analysis was performed on each initial energy consumption prediction result set, and the correlation result was used to assign a corresponding weight to each energy consumption prediction result in the initial energy consumption prediction result set. Through this technical solution, the energy consumption correlation relationship brought by the same project in two adjacent construction processes is considered, and the energy consumption reduction range of the corresponding specific task attribute is determined according to the energy consumption correlation relationship to determine its corresponding weight. Finally, according to the initial energy consumption prediction result set and the corresponding weight, the energy consumption prediction result of each engineering task is obtained by weighted summation, which is used to sum and calculate the energy consumption prediction result of the current construction project under the full life cycle, and complete the prediction of the energy consumption results under the full life cycle of the construction project, so as to solve the problem of low accuracy of energy consumption prediction results in the existing technology when predicting the energy consumption of the construction project under the full life cycle.

[0064] like Figure 2 As shown, in one embodiment, a construction plan of a current construction project is obtained, and a plurality of engineering tasks to be constructed are determined according to the construction plan, including:

[0065] S201, obtaining a construction plan for the current construction project under the full life cycle that has been planned before construction;

[0066] S202, obtaining a preset engineering task classification method to classify the engineering tasks of the construction plan, and obtaining a plurality of engineering tasks to be constructed;

[0067] The working principle and beneficial effects of the above technical scheme are as follows: before the actual construction, a construction plan is usually set in advance for the construction, such as detailed construction plan drawings such as construction project drawings, and then, according to the pre-set construction plan, based on the engineering task classification method pre-set in this application, the tasks are classified to obtain multiple engineering tasks. The engineering task classification method can be divided according to the construction process. For example, a complete engineering project construction process is divided into one engineering task. Specifically, for example, if the building is expected to be built with a total of three floors, the construction process required for each floor can be divided into one engineering task, and the foundation pit construction can be regarded as one engineering task. Finally, four engineering tasks to be constructed are obtained. Through the above technical scheme, the construction plan under the entire life cycle is divided into multiple separate engineering tasks, which is beneficial to improve the subsequent overall energy consumption prediction accuracy through the refinement of energy consumption engineering.

[0068] like Figure 3 As shown, in one embodiment, obtaining the specific task attributes of each engineering task and obtaining the energy consumption type of each specific task attribute include:

[0069] S301, obtaining a preset specific task attribute classification method; wherein each specific task attribute in the specific task attribute classification method includes a complete construction process;

[0070] S302, classifying the task attributes of each engineering task according to the specific task attribute classification method to obtain the specific task attributes of each engineering task; wherein each specific task attribute includes a complete construction process;

[0071] S303, based on the extraction scenarios corresponding to the training samples in the pre-trained energy consumption prediction models, and according to the complete construction process contained in each specific task attribute, determine the energy consumption type of the construction corresponding to each specific task attribute;

[0072] The working principle and beneficial effects of the above technical solution are as follows: after determining multiple engineering tasks of this construction, a pre-set specific task attribute classification method is obtained, and the specific task attribute classification method is classified according to the existing construction process, such as brick membrane, pouring and other categories, and then the task attribute of each engineering task is classified according to the specific task attribute classification method to obtain the specific task attribute of each engineering task; wherein, each specific task attribute contains a complete construction process, for example, if the construction process required for each floor is divided into an engineering task, then the concrete pouring process is taken as a specific task attribute in the current engineering task; finally, based on several pre-trained The energy consumption prediction model extracts scenes corresponding to the training samples, and determines the energy consumption type of the construction corresponding to each specific task attribute according to the complete construction process contained in each specific task attribute. The determination method is to match the construction process corresponding to the extraction scene with the complete construction process contained in each specific task attribute. The specific energy consumption type is related to the energy consumption prediction model. Through the above technical solution, the energy consumption type of each detailed energy consumption project is determined, which is beneficial to improve the efficiency of subsequent calls to the energy consumption prediction model, as well as improve the matching accuracy between each energy consumption project and the energy consumption prediction model, thereby improving the energy consumption prediction accuracy of subsequent construction projects over the entire life cycle.

[0073] like Figure 4 As shown, in one embodiment, the corresponding energy consumption prediction model in the database is called according to the energy consumption type, and the energy consumption prediction of the corresponding specific task attributes is performed according to the energy consumption prediction model to obtain multiple energy consumption prediction results for each engineering task, forming an initial energy consumption prediction result set, including:

[0074] S401, pre-acquire a number of training samples in extraction scenarios corresponding to different construction projects, for training and generating a plurality of energy consumption prediction models corresponding to different extraction scenarios, and store them in a database;

[0075] S402, obtaining the energy consumption type of any specific task attribute, and calling the energy consumption prediction model in the database that matches the extracted scene corresponding to the construction of the energy consumption type according to the energy consumption type;

[0076] S403, inputting specific task attributes into the corresponding energy consumption prediction model, and outputting energy consumption prediction results corresponding to the specific task attributes;

[0077] S404, obtaining multiple energy consumption prediction results corresponding to multiple specific task attributes included in each engineering task to form an initial energy consumption prediction result set;

[0078] The working principle and beneficial effects of the above technical solution are as follows: before the present application enters into actual application, it is necessary to pre-train and generate several energy consumption prediction models corresponding to different extraction scenarios, and store them in the database waiting for calling. The specific training process of the energy consumption prediction model belongs to the common knowledge in this field and will not be described in detail here. After the energy consumption prediction model reserve is completed, the energy consumption type of any specific task attribute is obtained, and the energy consumption prediction model matching the energy consumption type in the database is called according to the energy consumption type, wherein the energy consumption prediction model has a label, and the information on the label is the corresponding construction extraction scenario, which is used to match the energy consumption type of the specific task attribute. After obtaining the specific energy consumption prediction model, the specific task attribute is input into the corresponding energy consumption prediction model, and the energy consumption prediction result corresponding to the specific task attribute is output. Finally, multiple energy consumption prediction results corresponding to multiple specific task attributes included in each engineering task are obtained to form an initial energy consumption prediction result set, and the preliminary statistics of the energy consumption of each engineering task are completed, and the preliminary energy consumption prediction of each refined energy consumption project is completed.

[0079] In one embodiment, according to the correlation relationship between energy consumption types between two specific task attributes, energy consumption correlation analysis is performed on each initial energy consumption prediction result set, and the correlation result is used to assign a corresponding weight to each energy consumption prediction result in the initial energy consumption prediction result set, including:

[0080] Obtain all specific task attributes corresponding to any engineering task, sort all specific task attributes according to the construction sequence, and mark each specific task attribute in sequence according to the sorting result, which is recorded as the pth attribute;

[0081] Determine whether there is an energy consumption correlation relationship between the pth attribute and the p+1th attribute, and obtain a determination result; wherein the energy consumption correlation relationship refers to the existence of construction projects of the same energy consumption type in the construction scenes corresponding to the two specific task attributes, such as hoisting work;

[0082] If the judgment result is that there is an energy consumption correlation relationship, and the target construction project in the construction scene corresponding to the pth attribute can assist the target construction project corresponding to the p+1th attribute to be partially implemented in advance during implementation, the second energy consumption result of the target construction project corresponding to the p+1th attribute when partially implemented in advance is calculated; for example, if concrete mixing is required in the pth attribute, and concrete mixing is also required in the P+1th attribute, then in the pth attribute, the concrete mixing process required in the P+1th attribute is implemented in advance to reduce the energy consumption of re-mixing concrete at the P+1th attribute; it is worth noting that the premise of being able to implement in advance is to meet the dual permission of time and actual application conditions;

[0083] The rear weight of the energy consumption prediction result corresponding to the pth attribute is calculated according to the second energy consumption result. The calculation formula includes:

[0084]

[0085] Among them, Z e is the posterior weight, j is the second energy consumption result, and k is the energy consumption prediction result corresponding to the pth attribute;

[0086] If the judgment result is that there is no energy consumption correlation relationship, the energy consumption prediction result corresponding to the pth attribute does not have a posterior weight;

[0087] In addition, according to the corresponding energy consumption prediction model, the second energy consumption prediction result of the target construction project corresponding to the p+1th attribute when the part is implemented in advance is predicted;

[0088] Calculate the front weight of the energy consumption prediction result corresponding to the P+1th attribute according to the second energy consumption prediction result;

[0089] Determine whether there is an energy consumption correlation relationship between the p-th attribute and the p-1-th attribute, and obtain a second determination result;

[0090] If the second judgment result is that there is an energy consumption correlation relationship, and the target construction project in the construction scene corresponding to the p-1th attribute can assist the target construction project corresponding to the p-th attribute to be partially implemented in advance during implementation, calculate the third energy consumption result of the target construction project corresponding to the p-th attribute when it is partially implemented in advance; the same as the above technical principle, taking hoisting as an example, when p-1, the equipment needs to be hoisted to a certain location, and the P attribute also needs to be hoisted, and it is completed by one hoisting to achieve the purpose of reducing energy consumption;

[0091] Calculate the rear weight of the energy consumption prediction result corresponding to the p-1th attribute according to the third energy consumption result;

[0092] According to the corresponding energy consumption prediction model, a third energy consumption prediction result of the target construction project corresponding to the pth attribute when partially implemented in advance is predicted;

[0093] The front weight of the energy consumption prediction result corresponding to the pth attribute is calculated according to the third energy consumption prediction result, and the calculation formula includes:

[0094]

[0095] Among them, Z u is the front weight, i is the third energy consumption prediction result;

[0096] If the second judgment result is that there is no energy consumption correlation relationship, then the energy consumption prediction result corresponding to the pth attribute does not have a front weight;

[0097] The front weight and the rear weight of the p-th attribute are calculated to obtain the weight of the energy consumption prediction result corresponding to the p-th attribute. The calculation formula includes:

[0098] Z=(1+Z e -Z u )*k

[0099] Among them, Z is the weight of the energy consumption prediction result;

[0100] In the above technical solution, the description of the overall technical solution is completed by improving the rear weight of p-1 and the front weight of p+1, that is, the weight of the p-1 attribute and the weight corresponding to the p+1 attribute can be obtained by the above technical solution in the same way; p is a positive integer greater than 1;

[0101] Furthermore, by feeding back the energy consumption correlation analysis results to users through reports, users can be assisted in achieving the goal of reducing energy consumption when improving construction plans;

[0102] The beneficial effect of the above technical solution is: compared with the existing technology, this solution, after independently calculating all energy consumption, also performs additional correlation calculations on all energy consumption, determines the part of each energy consumption that can be optimized, and achieves the purpose of reducing energy consumption, thereby reducing the user's cost loss during construction and improving the accuracy of energy consumption prediction before construction.

[0103] In one embodiment, based on the initial energy consumption prediction result set and the corresponding weights, the energy consumption prediction result of each engineering task is obtained by weighted summation, and the energy consumption prediction result of the current construction project in the full life cycle is obtained by summing up and calculating, including:

[0104] Get the initial energy consumption prediction result set K y ={k 1，y , k 2，y , …, k n，y} and the corresponding weight H y ={h 1，y ,h 2，y ,…,h n，y};

[0105] According to the initial energy consumption prediction result set and the corresponding weights, the energy consumption prediction result of each engineering task is obtained by weighted summation. The calculation formula is:

[0106]

[0107] Among them, G y is the energy consumption prediction result of the yth engineering task, k m，y is the initial energy consumption prediction result set K corresponding to the yth engineering task y The energy consumption prediction result corresponding to the mth specific task attribute in h m，y is the corresponding weight H corresponding to the y-th engineering task y The corresponding weight of the energy consumption prediction result corresponding to the mth specific task attribute in , n is the initial energy consumption prediction result set K corresponding to the yth engineering tasky and the corresponding weight H y The number of elements in ;

[0108] Based on the energy consumption forecast results of all engineering tasks, the energy consumption forecast results of the current construction project over the entire life cycle are calculated by summing them up. The calculation formula is:

[0109]

[0110] Where N is the energy consumption prediction result of the current construction project during its entire life cycle, x is the number of engineering tasks included in the construction plan of the current construction project, y∈x, G x is the energy consumption prediction result of the xth engineering task;

[0111] The beneficial effects of the above technical scheme are: through the above technical scheme, the energy consumption forecast of the current construction project during its entire life cycle is completed, and the overall energy consumption is predicted and calculated by using detailed energy consumption engineering. Compared with the existing overall energy consumption prediction method, it is beneficial to improve the accuracy of energy consumption prediction.

[0112] Finally, it should be noted that the above preferred embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail through the above preferred embodiments, those skilled in the art should understand that various changes can be made in form and details without departing from the scope defined by the claims of the present invention.

Claims

1. A method for predicting and calculating energy consumption during the entire life cycle of a construction project, characterized in that: include: Obtain the construction plan of the current construction project, and determine multiple engineering tasks to be constructed according to the construction plan; Obtaining specific task attributes of each engineering task, and obtaining energy consumption type of each specific task attribute; According to the energy consumption type, the corresponding energy consumption prediction model in the database is called, and the energy consumption prediction of the corresponding specific task attributes is performed according to the energy consumption prediction model to obtain multiple energy consumption prediction results for each engineering task to form an initial energy consumption prediction result set; According to the correlation relationship between energy consumption types between specific task attributes, energy consumption correlation analysis is performed on each initial energy consumption prediction result set, and the correlation result is used to assign corresponding weights to each energy consumption prediction result in the initial energy consumption prediction result set; According to the initial energy consumption forecast result set and the corresponding weights, the weighted sum is used to obtain the energy consumption forecast result of each engineering task, which is then used to calculate the energy consumption forecast result of the current construction project over its entire life cycle.

2. The method for predicting and calculating energy consumption during the entire life cycle of a construction project according to claim 1 is characterized in that: Obtain the construction plan of the current construction project, and determine multiple engineering tasks to be constructed based on the construction plan, including: Obtain the construction plan for the current construction project under the full life cycle that has been planned before construction; A preset engineering task classification method is obtained to classify the engineering tasks of the construction plan, and a plurality of engineering tasks to be constructed are obtained.

3. The method for predicting and calculating energy consumption during the entire life cycle of a construction project according to claim 1 is characterized in that: Get the specific task attributes of each engineering task, and get the energy consumption type of each specific task attribute, including: Obtaining a preset specific task attribute classification method; wherein each specific task attribute in the specific task attribute classification method includes a complete construction process; According to the specific task attribute classification method, each engineering task is classified into task attributes to obtain the specific task attributes of each engineering task; wherein each specific task attribute includes a complete construction process; Based on the extraction scenarios corresponding to the training samples in several pre-trained energy consumption prediction models, and according to the complete construction process contained in each specific task attribute, the energy consumption type of the construction corresponding to each specific task attribute is determined.

4. The method for predicting and calculating energy consumption during the entire life cycle of a construction project according to claim 1 is characterized in that: According to the energy consumption type, the corresponding energy consumption prediction model in the database is called, and the energy consumption of the corresponding specific task attributes is predicted according to the energy consumption prediction model to obtain multiple energy consumption prediction results for each engineering task, forming an initial energy consumption prediction result set, including: Pre-acquire a number of training samples in extraction scenarios corresponding to different construction projects, and use them to train and generate multiple energy consumption prediction models corresponding to different extraction scenarios, and store them in a database; Obtain the energy consumption type of any specific task attribute, and call the energy consumption prediction model in the database that matches the extracted scene corresponding to the construction of the energy consumption type according to the energy consumption type; Input specific task attributes into the corresponding energy consumption prediction model, and output the energy consumption prediction result corresponding to the specific task attributes; A plurality of energy consumption prediction results corresponding to a plurality of specific task attributes included in each engineering task are obtained to form an initial energy consumption prediction result set.

5. The method for predicting and calculating energy consumption during the entire life cycle of a construction project according to claim 1 is characterized in that: According to the correlation relationship between energy consumption types of two specific task attributes, energy consumption correlation analysis is performed on each initial energy consumption prediction result set, and the correlation results are used to assign corresponding weights to each energy consumption prediction result in the initial energy consumption prediction result set, including: Obtain all specific task attributes corresponding to any engineering task, sort all specific task attributes according to the construction sequence, and mark each specific task attribute in sequence according to the sorting result, which is recorded as the pth attribute; Determine whether there is an energy consumption correlation relationship between the pth attribute and the p+1th attribute, and obtain a determination result; wherein the energy consumption correlation relationship refers to the existence of construction projects of the same energy consumption type in the construction scenes corresponding to the two specific task attributes; If the judgment result is that there is an energy consumption correlation relationship, and the target construction project in the construction scene corresponding to the pth attribute can assist the target construction project corresponding to the p+1th attribute to be partially implemented in advance during implementation, calculate the second energy consumption result of the target construction project corresponding to the p+1th attribute when it is partially implemented in advance; The rear weight of the energy consumption prediction result corresponding to the pth attribute is calculated according to the second energy consumption result. The calculation formula includes: Among them, Z e is the posterior weight, j is the second energy consumption result, and k is the energy consumption prediction result corresponding to the pth attribute; Determine whether there is an energy consumption correlation relationship between the p-th attribute and the p-1-th attribute, and obtain a second determination result; If the second judgment result is that there is an energy consumption correlation relationship, and the target construction project in the construction scene corresponding to the p-1th attribute can assist the target construction project corresponding to the pth attribute to be partially implemented in advance when implemented, a third energy consumption prediction result of the target construction project corresponding to the pth attribute when partially implemented in advance is predicted according to the corresponding energy consumption prediction model; The front weight of the energy consumption prediction result corresponding to the pth attribute is calculated according to the third energy consumption prediction result, and the calculation formula includes: Among them, Z u is the front weight, i is the third energy consumption prediction result; The front weight and the rear weight of the p-th attribute are calculated to obtain the weight of the energy consumption prediction result corresponding to the p-th attribute. The calculation formula includes: Z=(1+Z e -To)*k Among them, Z is the weight of the energy consumption prediction result.

6. The method for predicting and calculating energy consumption during the entire life cycle of a construction project according to claim 1 is characterized in that: According to the initial energy consumption forecast result set and the corresponding weights, the energy consumption forecast result of each engineering task is obtained by weighted summation, and the energy consumption forecast result of the current construction project under the full life cycle is calculated by summation, including: Get the initial energy consumption prediction result set K y ={k 1，y , k 2，y , …, k n，y } and the corresponding weight H y ={h 1，y ,h 2，y ,…,h n，y }; According to the initial energy consumption prediction result set and the corresponding weights, the energy consumption prediction result of each engineering task is obtained by weighted summation. The calculation formula is: Among them, G y is the energy consumption prediction result of the yth engineering task, k m，y is the initial energy consumption prediction result set K corresponding to the yth engineering task y The energy consumption prediction result corresponding to the mth specific task attribute in h m，y is the corresponding weight H corresponding to the y-th engineering task y The corresponding weight of the energy consumption prediction result corresponding to the mth specific task attribute in , n is the initial energy consumption prediction result set K corresponding to the yth engineering task y and the corresponding weight H y The number of elements in ; Based on the energy consumption forecast results of all engineering tasks, the energy consumption forecast results of the current construction project over the entire life cycle are calculated by summing them up. The calculation formula is: Where N is the energy consumption prediction result of the current construction project during its entire life cycle, x is the number of engineering tasks included in the construction plan of the current construction project, y∈x, G x It is the energy consumption prediction result of the xth engineering task.

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