Automatic arrangement method and system equipment for tower assembly construction site and medium

Abstract

The invention discloses an automatic arrangement method, system equipment and medium for a tower construction site, and relates to the technical field of electric power construction, and the method comprises the steps: obtaining site information from a preset GIM model of the construction site, and building a three-dimensional model corresponding to each facility in the site information; constructing a multi-objective optimization model corresponding to the temporary facility information; based on the construction cost optimization model and the safety risk optimization model, obtaining a total objective function of the multi-objective optimization model; solving the total objective function to obtain a solving result, determining the solving result as an arrangement scheme of the construction site, and displaying the arrangement scheme by using a three-dimensional model of each facility in the site information; the arrangement mode of the facility can be widely applied to the construction field of high-voltage transmission towers and the like, the efficiency and accuracy of construction site arrangement are improved, the construction cost and the construction safety risk are further reduced, and wide market prospects and application values are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power construction, and more specifically, to an automatic arrangement method for a tower assembly construction site, system equipment and medium. Background Art

[0002] In recent years, with the continuous increase in the demand for electric energy in my country's social development, the scale of construction of new overhead transmission lines has continued to grow. The construction of high-voltage transmission towers is the basis for the development of transmission lines. At present, in the construction process of high-voltage transmission towers, the layout of the construction site is directly related to the construction efficiency and safety. The traditional construction site layout mainly relies on manual experience, and it is difficult to accurately evaluate the impact of different layout schemes on the construction process. Therefore, there is an urgent need for an automatic layout method for the tower construction site to achieve the optimal layout of the construction site. Summary of the invention

[0003] The object of the present invention is to provide a method, system equipment and medium for automatically arranging a tower assembly construction site, so as to solve the problems existing in the above-mentioned background technology.

[0004] The above technical objectives of the present invention are achieved through the following technical solutions:

[0005] In a first aspect, the present application provides a method for automatically arranging a tower construction site, comprising the following specific steps:

[0006] Obtain site information from the pre-installed GIM model of the construction site and establish a 3D model corresponding to each facility in the site information. The site information includes temporary facility information, fixed facility information and construction area information;

[0007] Construct a multi-objective optimization model corresponding to temporary facility information, the multi-objective optimization model includes a construction cost optimization model and a safety risk optimization model;

[0008] Based on the construction cost optimization model and the safety risk optimization model, the overall objective function of the multi-objective optimization model is obtained;

[0009] The total objective function is solved to obtain a solution result, and the solution result is determined as a layout plan for the construction site, and the layout plan is displayed using the three-dimensional model of each facility in the site information.

[0010] The beneficial effects of the present invention are as follows: in this solution, firstly, the site information of the construction site is obtained according to the GIM model set up in advance at the construction site, and this site information includes the information of each facility, the construction area information, the construction method information, etc. For each facility in the site information, a three-dimensional model corresponding to each facility is established through three-dimensional software. In this solution, the main areas are divided into temporary facilities, which means that they will be dismantled after the construction is completed and are equipment used to assist in construction, fixed facilities, which means that they will not be moved during the construction process, and construction areas, which are represented as the construction scope; secondly, since the fixed facilities and the construction area basically will not change or move during the construction process, the main consideration is The use cost of temporary facilities after installation and the risks during use are taken into consideration. Therefore, a multi-objective optimization model is constructed based on the temporary facility information. The multi-objective optimization model includes a construction cost optimization model and a safety risk optimization model. The total objective function of the multi-objective optimization model is obtained through the construction cost optimization model and the safety risk optimization model. Finally, the total objective function is solved. Under the premise of pursuing low construction cost and ensuring low safety risk, the installation position of each temporary facility in this case is solved. The layout plan is then displayed through the three-dimensional model of each facility, making full use of the limited space of the site, arranging the temporary facilities to the optimal position, and realizing the automatic layout of the construction site.

[0011] In this scheme, the above scheme is used to complete the determination of the installation position of each temporary facility in the construction site, and the objective function of the construction site layout is established from the two aspects of minimizing the resource flow cost and minimizing the safety risk level on the construction site. The optimal layout position of each facility is determined by solving the objective function. Compared with the current layout that mainly relies on manual experience, it is difficult to accurately evaluate the impact of different layout schemes on the construction process. This method can be widely used in the construction field of high-voltage transmission towers, etc. It not only improves the efficiency and accuracy of the construction site layout, but also further reduces the construction cost and construction safety risks. It has broad market prospects and application value.

[0012] Based on the above technical solution, the present invention can also be improved as follows.

[0013] Furthermore, the above construction cost optimization model is specifically as follows:

[0014]

[0015] In the formula, F 1 represents the objective function of the construction cost optimization model, A ij represents the resource flow cost coefficient between temporary facility i and temporary facility j in the temporary facility information, B ij represents the distance between temporary facility i and temporary facility j in the temporary facility information, and N represents the total number of temporary facilities in the temporary facility information.

[0016] Furthermore, the above security risk optimization model is specifically as follows:

[0017]

[0018] In the formula, F 2 represents the objective function of the safety risk optimization model, N represents the total number of temporary facilities in the temporary facility information, C ij The safety risk level coefficient between temporary facility i and temporary facility j in the temporary facility information, B ij Indicates the distance between temporary facility i and temporary facility j in the temporary facility information.

[0019] Furthermore, the distance between the temporary facility i and the temporary facility j is specifically:

[0020] B ij =|x i -x j |+|y i -y j |+D mod ;

[0021] In the formula, B ij represents the distance between temporary facility i and temporary facility j in the temporary facility information, (x i ,y i ) represents the coordinates of temporary facility i in the plane rectangular coordinate system established at the construction site, (x j ,y j ) represents the coordinates of temporary facility j in the plane rectangular coordinate system established at the construction site, D mod Indicates the obstacle correction distance.

[0022] The beneficial effect of adopting the above further scheme is: under normal circumstances, the distance between two coordinates can be obtained through the distance calculation formula of the two coordinates, but in actual situations, it is inevitable that there will be obstacles in the path. Therefore, by considering the uncertain factors existing in actual situations, an obstacle correction distance is proposed to make the determined distance between the two coordinates more accurate.

[0023] Furthermore, the above overall objective function is specifically:

[0024]

[0025] In the formula, F represents the total objective function, α and β represent the weights of the objective function of the construction cost optimization model and the objective function of the safety risk optimization model, respectively, and α+β=1, F 1 represents the objective function of the construction cost optimization model, A ijrepresents the resource flow cost coefficient between temporary facility i and temporary facility j in the temporary facility information, F 2 represents the objective function of the safety risk optimization model, N represents the total number of temporary facilities in the temporary facility information, C ij The safety risk level coefficient between temporary facility i and temporary facility j in the temporary facility information, B ij Indicates the distance between temporary facility i and temporary facility j in the temporary facility information.

[0026] Furthermore, the above solution to the total objective function is as follows:

[0027] According to the maximum and minimum values ​​of the horizontal and vertical coordinates of the plane rectangular coordinate system of the construction site, as well as the fixed facility information and the area not involving temporary facilities in the construction area information, the coordinate value interval of each temporary facility in the construction site is obtained;

[0028] Based on the preset matching function and the coordinate value interval of each temporary facility, the matching value of each coordinate of each temporary facility in the coordinate value interval compared with other coordinates is calculated;

[0029] Based on the matching value of each temporary facility to each coordinate, the coordinate determination probability corresponding to the matching value of each coordinate is calculated, and the coordinate with the maximum coordinate determination probability is determined as the target position coordinate corresponding to each temporary facility.

[0030] The beneficial effect of adopting the above further scheme is: by calculating the various matching values ​​of the coordinates of the locations where each temporary facility can be installed, and calculating the coordinate determination probability of the final installation location through each temporary facility of each temporary facility, multiple coordinate determination probabilities can be obtained for each temporary facility after calculation, and these multiple coordinate determination probabilities each correspond to a coordinate, and finally, the coordinate with the largest value among these coordinate determination probabilities is determined as the target location coordinate of the temporary facility, and the target location coordinate is also the optimal location finally determined by the temporary facility.

[0031] Furthermore, the above matching value is specifically:

[0032]

[0033] Where, f represents the temporary facility at coordinate (x i ,y i ) relative to the coordinate (x j ,y j ), B ij Represents the coordinates (x i ,y i ) and coordinates (x j ,y j ), Cij Represents the coordinates (x i ,y i ) and coordinates (x j ,y j ), A ij Represents the coordinates (x i ,y i ) and coordinates (x j ,y j ), N represents the total number of coordinates existing in the temporary facility;

[0034] The coordinate determination probability is specifically:

[0035]

[0036] Where P represents the probability of determining the coordinates of the kth temporary facility, n represents the total number of temporary facilities in the construction site, and f represents the matching value of the temporary facility.

[0037] In a second aspect, the present application provides a system for automatically arranging a tower assembly construction site, which is applied to an automatic arrangement method for a tower assembly construction site according to any one of the first aspects, comprising:

[0038] The first module is used to obtain site information from the GIM model preset at the construction site and establish a three-dimensional model corresponding to each facility in the site information. The site information includes temporary facility information, fixed facility information and construction area information;

[0039] The second module is used to build a multi-objective optimization model corresponding to the temporary facility information, and the multi-objective optimization model includes a construction cost optimization model and a safety risk optimization model;

[0040] The third module is used to obtain the overall objective function of the multi-objective optimization model based on the construction cost optimization model and the safety risk optimization model;

[0041] The fourth module is used to solve the overall objective function to obtain a solution result, determine the solution result as a layout plan for the construction site, and display the layout plan using the three-dimensional model of each facility in the site information.

[0042] In a third aspect, the present application provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any one of the methods in the first aspect when executing the computer program.

[0043] In a fourth aspect, the present application provides a non-transitory computer-readable storage medium, which stores computer instructions, and the computer instructions enable a computer to execute any one of the methods in the first aspect.

[0044] Compared with the prior art, the present invention has at least the following beneficial effects:

[0045] In the present application, firstly, the site information of the construction site is obtained according to the GIM model pre-set for the construction site. The site information includes the information of each facility, the construction area information, the construction method information, etc. For each facility in the site information, a three-dimensional model corresponding to each facility is established through three-dimensional software. In this scheme, the main areas are temporary facilities, which means that they will be dismantled after the construction is completed and are equipment used to assist the construction, fixed facilities, which means that they will not move during the construction process, and construction areas, which are represented as the construction scope; secondly, since the fixed facilities and the construction area basically will not change or move during the construction process, the main considerations are the use cost of the temporary facilities after installation and the risks during use. Therefore, a multi-objective optimization model is constructed based on the temporary facility information. The multi-objective optimization model includes a construction cost optimization model and a safety risk optimization model, and then the total objective function of the multi-objective optimization model is obtained through the construction cost optimization model and the safety risk optimization model; finally, the total objective function is solved, and the installation position of each temporary facility in this case is solved while pursuing low construction cost and ensuring low safety risk, so as to make full use of the limited space of the site and arrange the temporary facilities to the optimal position, thereby realizing the automatic arrangement of the construction site.

[0046] In the present application, the above-mentioned scheme is used to complete the determination of the installation position of each temporary facility in the construction site, and the objective function of the construction site layout is established from the two aspects of minimizing the resource flow cost and minimizing the safety risk level on the construction site. The optimal layout position of each facility is determined by solving the objective function. Compared with the current layout that mainly relies on manual experience, it is difficult to accurately evaluate the impact of different layout schemes on the construction process. This method can be widely used in the construction field of high-voltage transmission towers, etc., which not only improves the efficiency and accuracy of the construction site layout, but also further reduces the construction cost and construction safety risks, and has broad market prospects and application value.

[0047] In the present application, under normal circumstances, the distance between two coordinates can be obtained through the distance calculation formula of the two coordinates, but in actual situations, it is inevitable that there will be obstacles in the path. Therefore, by considering the uncertain factors existing in actual situations, an obstacle correction distance is proposed to make the distance between the two coordinates determined more accurate; by calculating the matching values ​​of the coordinates of the positions where each temporary facility can be installed, and calculating the coordinate determination probability of the final installation position through each temporary facility of each temporary facility, for each temporary facility, multiple coordinate determination probabilities can be obtained after calculation, and these multiple coordinate determination probabilities correspond to one coordinate respectively, and finally, the coordinate with the largest value among these coordinate determination probabilities is determined as the target position coordinate of the temporary facility, and the target position coordinate is also the optimal position finally determined by the temporary facility. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings:

[0049] Figure 1 A method flow chart of the arrangement method in an embodiment of the present invention;

[0050] Figure 2 A connection diagram of a system arrangement in an embodiment of the present invention;

[0051] Figure 3 Schematic diagram of the connection of electronic equipment in an embodiment of the present invention. DETAILED DESCRIPTION

[0052] 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.

[0053] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0055] In the description of the embodiments of the present invention, "plurality" means at least 2.

[0056] Embodiment 1: In order to solve the problem that the arrangement of temporary facilities in the construction site currently mainly relies on manual experience, which makes it difficult to accurately evaluate the impact of different arrangement schemes on the construction process, the embodiment of the present application provides an automatic arrangement method for the tower construction site, such as Figure 1 As shown, the following specific steps are included:

[0057] S1, obtaining site information from a pre-set GIM model of the construction site, and establishing a three-dimensional model corresponding to each facility in the site information, the site information including temporary facility information, fixed facility information and construction area information.

[0058] Among them, the GIM model can be set up in advance, and then the site information of the construction site can be obtained from the GIM model. This site information includes the information of each facility, the construction area information, the construction method information, etc. For each facility in the site information, a three-dimensional model corresponding to each facility is established through three-dimensional software. In this scheme, the main areas are divided into temporary facilities, which will be dismantled after the construction is completed and are equipment used to assist construction; fixed facilities, which will not be moved during the construction process and will not be dismantled after the construction is completed; construction area, which is represented by the construction scope; specifically, the purpose of establishing the three-dimensional model corresponding to each facility is to finally obtain the optimal position of each temporary facility and then display each facility in the entire construction site. The three-dimensional model intuitively displays the layout of the construction site, which is convenient for construction personnel to understand and execute.

[0059] S2, construct a multi-objective optimization model corresponding to the temporary facility information, and the multi-objective optimization model includes a construction cost optimization model and a safety risk optimization model.

[0060] Optionally, the above construction cost optimization model is specifically as follows:

[0061]

[0062] In the formula, F 1 represents the objective function of the construction cost optimization model, A ij represents the resource flow cost coefficient between temporary facility i and temporary facility j in the temporary facility information, B ij represents the distance between temporary facility i and temporary facility j in the temporary facility information, and N represents the total number of temporary facilities in the temporary facility information.

[0063] Among them, the construction site in this embodiment is represented by a two-dimensional coordinate system, the temporary facilities are simplified into a rectangular shape, the center coordinates of each facility are used as its position coordinates, and the positions of fixed facilities and construction areas are determined; and the facility layout in this embodiment only considers the optimization on the two-dimensional plane, and does not consider the influence of the height of temporary facilities on the site layout.

[0064] Specifically, the resource flow cost coefficient in the above formula mainly reflects the resource flow cost between temporary facility i and temporary facility j. The greater the amount of resource flow and the higher the flow frequency, the greater the coefficient. In order to reduce the resource flow cost of the construction site, the distance between two facilities with high cost coefficients should be shortened as much as possible. Conversely, the distance between two facilities with smaller cost coefficients can be larger. The determination of this coefficient should take into account the flow amount, flow frequency and unit transportation cost of personnel, materials and mechanical equipment between facility i and facility j. In the project planning stage, it is very difficult to obtain the actual data on the resource flow cost between facilities during the construction process, and it is difficult to accurately measure the flow cost. Therefore, in this embodiment, the SLP theory can be used to conduct logistics analysis between construction site facilities, and the size of the resource flow cost coefficient can be determined according to the logistics intensity level.

[0065] Further, according to the SLP theory, the logistics intensity between facilities can be divided into five levels, namely, A, E, I, O, and U. In this embodiment, A, E, I, O, and U are assigned 243, 81, 27, 9, and 3, respectively, as the cost relationship values ​​between facilities. The specific level division is: (level A, algebraic value is 243), (level E, algebraic value is 81), (level I, algebraic value is 27), (level O, algebraic value is 9), and (level U, algebraic value is 3); that is, the resource flow cost coefficient is divided into five categories, namely, (level A, algebraic value is 243), (level E, algebraic value is 81), (level I, algebraic value is 27), (level O, algebraic value is 9), and (level U, algebraic value is 3), and these five categories are determined according to the actual situation of the construction site. For example, when the distance is large and the volume and weight of the resources to be transported are large, the resource flow cost coefficient is assigned as: A, 243.

[0066] Optionally, the security risk optimization model is specifically:

[0067]

[0068] In the formula, F 2 represents the objective function of the safety risk optimization model, N represents the total number of temporary facilities in the temporary facility information, C ij The safety risk level coefficient between temporary facility i and temporary facility j in the temporary facility information, B ij Indicates the distance between temporary facility i and temporary facility j in the temporary facility information.

[0069] Among them, the safety risk level coefficient needs to be considered from two perspectives: one is the frequent flow of resources such as personnel, materials, and machinery between facilities, which leads to safety accidents such as transportation route conflicts; the other is to consider the risk interaction between risk source facilities and vulnerable facilities in the construction site; specifically, first, the more frequent the flow of resources between facilities, the greater the possibility of safety accidents such as collisions and strikes. In this case, the safety risk level coefficient generated is C ij1 ; The greater the resource flow intensity between temporary facilities i and j, the greater the ij1 The larger the distance between the two facilities, the smaller the distance between them should be. ij1 The logistics intensity can also be evaluated based on the SLP theory logistics analysis, and the C ij1 Assign a value.

[0070] Furthermore, the safety risk level coefficient generated by the risk interaction between medium-risk source facilities and vulnerable facilities is C ij2 The facilities at the construction site can be divided into risk source facilities and vulnerable facilities. Risk source facilities themselves are dangerous and are prone to safety accidents such as object collision, mechanical collision, lifting injury, and fire during construction. Accidents at the construction site are mostly the result of the combined effects of people, materials, machines, working environment, and construction methods. There are many cross-operations of people, materials, and machines in the steel bar processing area, steel support processing and stacking area, template stacking area, and lifting and hoisting area. These are risk source facilities that need to be focused on at the construction site. Vulnerable facilities such as offices and employee dormitories have poor ability to resist external risks and are easily affected by risk source facilities. When the risks of risk source facilities are transmitted to vulnerable facilities, the vulnerable facilities are harmed and feedback their own degree of harm. This process is called risk interaction. In this embodiment, the possibility of safety accidents, the exposure time of construction personnel and the loss consequences caused by accidents can be graded and assigned by the LEC risk assessment method to obtain the safety risk value between facilities, such as: D = L × E × C; L represents the possibility of safety accidents, D represents the safety risk value, E represents the exposure time of construction personnel, and C represents the severity of the consequences of accidents; according to the safety risk value D between facilities calculated by the LEC method, the risk interaction level between facilities is divided into A', E', I', O', and U' using the SLP theory, which respectively represent "very high risk level, high risk level, medium risk level, low risk level, and no risk impact. If C ij2The larger the value is, the greater the degree of harm caused by hazardous facility i to facility j. According to the law of risk value attenuation, the distance between the two facilities should be expanded as much as possible. The specific meanings and values ​​of the levels are as follows: (Level A', D value is greater than 320, algebraic value is 3), (Level E', D value is 160-320, algebraic value is 9), (Level I', D value is 70-160, algebraic value is 27), (Level O', D value is 20-70, algebraic value is 81), (Level U', D value is less than 20, algebraic value is 243).

[0071] Furthermore, the above-determined C ij1 , C ij2 The weighted comprehensive result is the final safety risk level coefficient C ij ; C ij1 , C ij2 The corresponding weights are set to be the same, that is, 1:1; therefore, the final C ij =C ij1 +C ij2 .

[0072] Optionally, the distance between the temporary facility i and the temporary facility j is specifically:

[0073] B ij =|x i -x j |+|y i -y j |+D mod ;

[0074] In the formula, B ij represents the distance between temporary facility i and temporary facility j in the temporary facility information, (x i ,y i ) represents the coordinates of temporary facility i in the plane rectangular coordinate system established at the construction site, (x j ,y j ) represents the coordinates of temporary facility j in the plane rectangular coordinate system established at the construction site, D mod Indicates the obstacle correction distance.

[0075] Among them, first of all, it is necessary to establish a plane rectangular coordinate system containing the construction site, as mentioned above, and each coordinate is expressed as the coordinate of the center point of each facility; because at the construction site, the transportation between facilities cannot be a straight line, it is necessary to transport along the construction roads within the site. The construction roads within the site are usually parallel or perpendicular to the site boundary. Therefore, the distance between facilities can use the Manhattan distance.

[0076] Furthermore, the objective function of the above-mentioned construction cost optimization model and the objective function of the construction cost optimization model also have the following constraints: the coordinate value of each setting should not exceed the maximum value of the construction site in the plane rectangular coordinate system.

[0077] S3, based on the construction cost optimization model and the safety risk optimization model, the overall objective function of the multi-objective optimization model is obtained.

[0078] Optionally, the above overall objective function is specifically:

[0079]

[0080] In the formula, F represents the total objective function, α and β represent the weights of the objective function of the construction cost optimization model and the objective function of the safety risk optimization model, respectively, and α+β=1, F 1 represents the objective function of the construction cost optimization model, A ij represents the resource flow cost coefficient between temporary facility i and temporary facility j in the temporary facility information, F 2 represents the objective function of the safety risk optimization model, N represents the total number of temporary facilities in the temporary facility information, C ij The safety risk level coefficient between temporary facility i and temporary facility j in the temporary facility information, B ij Indicates the distance between temporary facility i and temporary facility j in the temporary facility information.

[0081] Among them, α and β represent the weights of the objective function of the construction cost optimization model and the objective function of the safety risk optimization model respectively, and α+β=1. The weights of the two can be confirmed by the management personnel according to the specific project site conditions; for example, if the on-site logistics transportation is very frequent and the transportation distance is long, and the site provides sufficient safety measures and the safety risk is relatively low, the weight of the cost objective function can be set higher and the weight of the safety risk level objective function can be set lower, and vice versa; α and β can also be set to different values ​​multiple times to obtain multiple optimization schemes, and finally selected according to the actual situation. In this embodiment, it can be set to α=β=0.5.

[0082] S4, solving the total objective function to obtain a solution result, and determining the solution result as a layout plan of the construction site, and using the three-dimensional model of each facility in the site information to display the layout plan.

[0083] Optionally, the above solves the total objective function, specifically:

[0084] S41, obtaining the coordinate value range of each temporary facility in the construction site according to the maximum and minimum values ​​of the horizontal and vertical coordinates of the plane rectangular coordinate system of the construction site, and the area not involving temporary facilities in the fixed facility information and the construction area information.

[0085] S42, based on a preset matching function and the coordinate value interval of each temporary facility, calculate the matching value of each coordinate of each temporary facility in the coordinate value interval compared with other coordinates.

[0086] Optionally, the above matching value is specifically:

[0087]

[0088] Where, f represents the temporary facility at coordinate (x i ,y i ) relative to the coordinate (x j ,y j ), B ij Represents the coordinates (x i ,y i ) and coordinates (x j ,y j ), C ij Represents the coordinates (x i ,y i ) and coordinates (x j ,y j ), A ij Represents the coordinates (x i ,y i ) and coordinates (x j ,y j ), and N represents the total number of coordinates existing in the temporary facility.

[0089] S43, based on the matching value of each temporary facility to each coordinate, the coordinate determination probability corresponding to the matching value of each coordinate is calculated, and the coordinate with the maximum coordinate determination probability is determined as the target position coordinate corresponding to each temporary facility.

[0090] Optionally, the above coordinate determination probability is specifically:

[0091]

[0092] Where P represents the probability of determining the coordinates of the kth temporary facility, n represents the total number of temporary facilities in the construction site, and f represents the matching value of the temporary facility.

[0093] Among them, by calculating the matching values ​​of the coordinates of the locations where each temporary facility can be installed, and calculating the coordinate determination probability of the final installation location through each temporary facility of each temporary facility, multiple coordinate determination probabilities can be obtained for each temporary facility after calculation, and these multiple coordinate determination probabilities each correspond to a coordinate, and finally, the coordinate with the largest value among these coordinate determination probabilities is determined as the target location coordinate of the temporary facility, and the target location coordinate is also the optimal location finally determined by the temporary facility.

[0094] Embodiment 2: This embodiment of the present application provides a system for automatically arranging a tower construction site, which is applied to any one of the methods for automatically arranging a tower construction site in Embodiment 1, such as Figure 2 As shown, including:

[0095] The first module is used to obtain site information from the GIM model preset at the construction site and establish a three-dimensional model corresponding to each facility in the site information. The site information includes temporary facility information, fixed facility information and construction area information.

[0096] The second module is used to construct a multi-objective optimization model corresponding to the temporary facility information. The multi-objective optimization model includes a construction cost optimization model and a safety risk optimization model.

[0097] The third module is used to obtain the overall objective function of the multi-objective optimization model based on the construction cost optimization model and the safety risk optimization model.

[0098] The fourth module is used to solve the overall objective function to obtain a solution result, determine the solution result as a layout plan for the construction site, and display the layout plan using the three-dimensional model of each facility in the site information.

[0099] Embodiment 3: This embodiment of the present application provides an electronic device, such as Figure 3 As shown, it includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, any method in Embodiment 1 is implemented.

[0100] Embodiment 4: The embodiment of the present application provides a non-transitory computer-readable storage medium, which stores computer instructions, and the computer instructions enable a computer to execute any method in Embodiment 1.

[0101] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for automatically arranging a tower construction site, characterized in that: The specific steps include: Acquire site information from a pre-installed GIM model of the construction site, and establish a three-dimensional model corresponding to each facility in the site information, wherein the site information includes temporary facility information, fixed facility information, and construction area information; Constructing a multi-objective optimization model corresponding to the temporary facility information, wherein the multi-objective optimization model includes a construction cost optimization model and a safety risk optimization model; Based on the construction cost optimization model and the safety risk optimization model, an overall objective function of the multi-objective optimization model is obtained; The total objective function is solved to obtain a solution result, and the solution result is determined as a layout plan of the construction site, and the layout plan is displayed using a three-dimensional model of each facility in the site information.

2. The method for automatically arranging a tower construction site according to claim 1, characterized in that: The construction cost optimization model is specifically as follows: Where F1 represents the objective function of the construction cost optimization model, A ij represents the resource flow cost coefficient between temporary facility i and temporary facility j in the temporary facility information, B ij represents the distance between temporary facility i and temporary facility j in the temporary facility information, and N represents the total number of temporary facilities in the temporary facility information.

3. The method for automatically arranging a tower construction site according to claim 2, characterized in that: The security risk optimization model is specifically: Where F2 represents the objective function of the safety risk optimization model, N represents the total number of temporary facilities in the temporary facility information, and C ij The safety risk level coefficient between temporary facility i and temporary facility j in the temporary facility information, B ij Indicates the distance between temporary facility i and temporary facility j in the temporary facility information.

4. A method for automatically arranging a tower construction site according to claim 2 or 3, characterized in that: The distance between the temporary facility i and the temporary facility j is specifically: B ij =|x i -x j |+|y i -y j |+D mod ; In the formula, B ij represents the distance between temporary facility i and temporary facility j in the temporary facility information, (x i ,y i ) represents the coordinates of temporary facility i in the plane rectangular coordinate system established at the construction site, (x j ,y j ) represents the coordinates of temporary facility j in the plane rectangular coordinate system established on the construction site, D mod Indicates the obstacle correction distance.

5. The method for automatically arranging a tower construction site according to claim 3, characterized in that: The overall objective function is specifically: In the formula, F represents the total objective function, α and β represent the weights of the objective function of the construction cost optimization model and the objective function of the safety risk optimization model, respectively, and α+β=1, F1 represents the objective function of the construction cost optimization model, and A ij represents the resource flow cost coefficient between temporary facility i and temporary facility j in the temporary facility information, F2 represents the objective function of the safety risk optimization model, N represents the total number of temporary facilities in the temporary facility information, C ij The safety risk level coefficient between temporary facility i and temporary facility j in the temporary facility information, B ij Indicates the distance between temporary facility i and temporary facility j in the temporary facility information.

6. The method for automatically arranging a tower construction site according to claim 4, characterized in that: The solution to the total objective function is specifically: According to the maximum and minimum values ​​of the horizontal and vertical coordinates of the plane rectangular coordinate system of the construction site, and the fixed facility information and the area not involving temporary facilities in the construction area information, the coordinate value interval of each temporary facility in the construction site is obtained; Based on the preset matching function and the coordinate value interval of each temporary facility, the matching value of each coordinate of each temporary facility in the coordinate value interval compared with other coordinates is calculated; Based on the matching value of each temporary facility to each coordinate, the coordinate determination probability corresponding to the matching value of each coordinate is calculated, and the coordinate with the maximum coordinate determination probability is determined as the target position coordinate corresponding to each temporary facility.

7. The method for automatically arranging a tower construction site according to claim 6, characterized in that: The matching degree value is specifically: Where, f represents the temporary facility at coordinate (x i ,y i ) relative to the coordinate (x j ,y j ), B ij Represents the coordinates (x i ,y i ) and coordinates (x j ,y j ), C ij Represents the coordinates (x i ,y i ) and coordinates (x j ,y j ), A ij Represents the coordinates (x i ,y i ) and coordinates (x j ,y j ), N represents the total number of coordinates existing in the temporary facility; The coordinate determination probability is specifically: Where P represents the probability of determining the coordinates of the kth temporary facility, n represents the total number of temporary facilities in the construction site, and f represents the matching value of the temporary facility.

8. An automatic arrangement system for a tower assembly construction site, applied to an automatic arrangement method for a tower assembly construction site according to any one of claims 1 to 7, characterized in that: include: The first module is used to obtain site information from the GIM model preset at the construction site and establish a three-dimensional model corresponding to each facility in the site information, wherein the site information includes temporary facility information, fixed facility information and construction area information; The second module is used to construct a multi-objective optimization model corresponding to the temporary facility information, wherein the multi-objective optimization model includes a construction cost optimization model and a safety risk optimization model; The third module is used to obtain the overall objective function of the multi-objective optimization model based on the construction cost optimization model and the safety risk optimization model; The fourth module is used to solve the overall objective function to obtain a solution result, determine the solution result as a layout plan of the construction site, and display the layout plan using a three-dimensional model of each facility in the site information.

9. An electronic device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the method according to any one of claims 1 to 7 is implemented when the processor executes the computer program.

10. A non-transitory computer-readable storage medium, characterized in that: The non-transitory computer-readable storage medium stores computer instructions, which enable a computer to execute the method of any one of claims 1-7.

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