Method, device and system for arranging environmental adjustment devices

Abstract

The present invention provides a method for arranging an environment adjustment device, a device, and a system. The optimal position of an environment adjustment device is calculated on the basis of a simulated result of a target parameter within a predefined area, and the environment adjustment device is laid out on the basis of the optimal position. In this way, the optimal position of the environment adjustment device can be quickly and accurately determined and a layout can be implemented in actual operation. In addition, a completely automated arrangement flow for the environment adjustment device can be achieved, with the design accuracy of the environment adjustment device closer to the condition at the time of actual attachment. Furthermore, the present invention is applicable not only to automatic arrangement within software, but also to the condition of actually attaching the environment adjustment device without going through a design layout by software. Thus, the applicable range is wide.

Description

Technical Field

[0001] The present invention relates to the field of environmental control devices, and particularly to a method for arranging environmental control devices, a device, and a system.

Background Art

[0002] With the development of the economy and the improvement of living standards, various environmental control devices, such as air conditioners, are widely applied in various fields.

[0003] Taking an air conditioner as an example, the design process of a conventional air conditioning system mainly includes several main steps such as load calculation, plan determination, device model selection, and wiring and piping plotting. Although the design flow is fixed, the forms of buildings are different and the structures are complex, so for different buildings, HVAC engineers need to redesign the air conditioning system according to the flow. The engineer needs to spend a lot of time on repetitive work such as load calculation and wiring and piping. Moreover, when the building design is changed, the design of the air conditioner must also be changed accordingly, and the entire design process needs to be carried out again.

[0004] In particular, the model selection and distribution of air conditioners are only simple calculations and arrangements, which are quite different from the actual construction and selection in the process. Currently, the air conditioner can be placed and visualized in the corresponding room, but there is a large error compared with the actual design accuracy.

[0005] At the same time, in the design of the air conditioning system, many problems rely on the experience of engineers. Experienced engineers can put forward reasonable design proposals, and thus the design process of the air conditioning system is full of subjectivity.

[0006] Patent Document 1 (Chinese Patent Application Publication No. 110489875 Specification) discloses a method for designing the layout of the air vents of an air conditioner within software. Having the design drawings and interior models of the building's ventilation air conditioner, based on the design drawings and interior models of the ventilation air conditioner, a complete BIM model is established, and the positions of the air supply outlets of the initial air conditioners in each room in the complete BIM model are identified. The complete BIM model is introduced into Autodesk CFD software for temperature change and wind vector comprehensive evaluation analysis to identify the optimal positions of the air supply outlets of the air conditioners in each room in the complete BIM model, and to verify the optimal positions of the air supply outlets of the air conditioners in each room in the complete BIM model.

[0007] However, in Patent Document 1, automated design is only carried out within the software, showing the effect of visualization as a whole. Its layout accuracy is limited to the layout accuracy within the software, and only relates to the position setting of the air supply outlets, not to how to arrange the air conditioning equipment.

[0008] It should be noted that the above introduction of the technical background is only for clarifying, completely and easily explaining the technical solution of the present invention, and facilitating the understanding of those skilled in the art. Just because these solutions are only described in the background art part of the present invention does not mean that the above technical solutions are known to those skilled in the art.

Summary of the Invention

[0009] In order to solve at least one of the above problems, embodiments of the present invention provide a method, device, and system for arranging an environmental adjustment device. Based on the simulation results of target parameters within a preset area, the optimal position of the environmental adjustment device is calculated, and the layout of the environmental adjustment device is carried out based on the optimal position. It is not limited to the layout accuracy within the software, closer to the actual design site of the environmental adjustment device and the needs of users, and has higher guidance. In the process of actually arranging the environmental adjustment device, the accuracy of the arrangement position is higher and the applicability is wider.

[0010] According to the first aspect of the embodiment of the present invention, there is provided a method for arranging an environmental adjustment device, including: obtaining a simulation result of a target parameter within a preset area; calculating an optimal position of the environmental adjustment device based on the simulation result; and arranging the environmental adjustment device within the preset area based on the optimal position of the environmental adjustment device.

[0011] According to the second aspect of the embodiment of the present invention, there is provided an arrangement device for an environmental adjustment device, including: an acquisition means for obtaining a simulation result of a target parameter within a preset area; a calculation means for calculating an optimal position of the environmental adjustment device based on the simulation result; and an arrangement means for arranging the environmental adjustment device within the preset area based on the optimal position of the environmental adjustment device.

[0012] According to the third aspect of the embodiment of the present invention, there is provided an arrangement system for an environmental adjustment device, including: a collection device for collecting environmental parameters; and the arrangement device for the environmental adjustment device according to the second aspect of the embodiment of the present invention.

[0013] One of the beneficial effects of the embodiment of the present invention is that, based on the simulation result of the target parameter within the preset area, the optimal position of the environmental adjustment device is calculated, and the layout of the environmental adjustment device is performed based on the optimal position. In this way, in actual operation, the optimal position of the environmental adjustment device can be quickly and accurately determined, and the layout can be performed. At the same time, a completely automated arrangement process of the environmental adjustment device can be realized. In addition, the design accuracy of the environmental adjustment device is closer to the actual installation situation. It can be applied not only to the automatic arrangement within the software, but also to the actual installation situation of the environmental adjustment device without going through the software design layout, and has a wide application range.

[0014] With reference to the following description and drawings, specific embodiments of the present invention are disclosed in detail, and the modes in which the principles of the present invention can be adopted are indicated. It should be understood that the embodiments of the present invention are not restricted in scope. Within the spirit and scope of the appended claims, the embodiments of the present invention include many modifications, corrections, and equivalents.

[0015] The feature information described and shown in one embodiment can be used in one or more other embodiments in the same or similar form, combined with the feature information in other embodiments, or replace the feature information in other embodiments.

[0016] It should be emphasized that the term "comprising / including" refers to the presence of feature information, elements, steps, or assemblies when used in this specification, but does not exclude the presence or addition of one or more other feature information, elements, steps, or assemblies.

Brief Description of the Drawings

[0017] Many aspects of the present invention can be better understood with reference to the following drawings. The members in the drawings are not drawn to scale and are only for the purpose of showing the principles of the present invention. In order to make it easier to show or explain some parts of the present invention, corresponding parts in the drawings may be enlarged or reduced. The elements and feature information described in one drawing or one embodiment of the present invention can be combined with the elements and feature information shown in one or more other drawings or embodiments. Also, in the drawings, similar reference numerals can be used to indicate corresponding members in several drawings and to indicate the corresponding members used in one or more embodiments. In the drawings,

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Mode for Carrying Out the Invention

[0018] Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings. (Embodiment 1) Example 1 of the present invention provides a method for arranging an environmental control device. FIG. 1 is a flowchart of the method for arranging an environmental control device according to Example 1 of the present invention. As shown in FIG. 1, the method includes step 101 of obtaining a simulation result of target parameters within a preset area, step 102 of calculating an optimal position of the environmental control device based on the simulation result, and step 103 of arranging the environmental control device within the preset area based on the optimal position of the environmental control device.

[0019] In this way, based on the simulation result of the target parameters within the preset area, the optimal position of the environmental control device is calculated, and the layout of the environmental control device is performed based on the optimal position. In this way, in actual operation, the optimal position of the environmental control device can be quickly and accurately identified, and the layout can be performed. At the same time, a completely automated layout process of the environmental control device can be realized. At the same time, the design accuracy of the environmental control device is closer to the actual installation situation, and it can be applied not only to the automatic layout within the software, but also to the actual installation situation of the environmental control device without going through the software design layout, and the application range is wide.

[0020] In an embodiment of the present invention, the environmental control device may be various types of environmental control devices. For example, the environmental control device may be at least one of an air conditioner, an air purifier, a fresh air device, a humidifying device, a disinfection device, a lighting device, and an acoustic device.

[0021] In an embodiment of the present invention, the environmental control device may be used for household use, or may be used for business or public use.

[0022] For example, the environmental control device may be used in a home environment, or may be used in a commercial environment such as an office, an office building, a department store, or a public environment such as a school.

[0023] In an embodiment of the present invention, an air conditioner will be exemplarily described as an example. The air conditioner may be a separate type or a multi-type air conditioner, or may be a central air conditioning system.

[0024] In an embodiment of the present invention, the air conditioner includes an indoor unit of an air conditioner and / or an outdoor unit of an air conditioner. That is, the embodiment of the present invention is applicable to the arrangement of the indoor unit of the air conditioner room and is also applicable to the arrangement of the outdoor unit of the air conditioner.

[0025] In step 101, obtain the simulation result of the target parameter within a preset area. The preset area is the area where the environmental adjustment device is arranged.

[0026] For example, for the outdoor unit of an air conditioner, the preset area may be the area of the roof of the building. Also, for example, for the indoor unit of an air conditioner, the preset area may be the area of a room within the building.

[0027] In an embodiment of the present invention, the target parameter may be a parameter related to the performance of the environmental adjustment device to be arranged or a parameter by which the environmental adjustment device affects the environment.

[0028] For example, for the outdoor unit of an air conditioner, the target parameter is the heat dissipation amount. Also, for example, for the indoor unit of an air conditioner, the target parameters are temperature and / or air flow.

[0029] FIG. 2 is a flowchart of a method for implementing step 101 according to Embodiment 1 of the present invention. As shown in FIG. 2, the method includes step 201 of obtaining environmental parameters and position information of a plurality of areas and / or a plurality of position points within the preset area, and step 202 of inputting the environmental parameters and the position information into a simulation model to obtain a simulation result of the target parameter within the preset area.

[0030] In an embodiment of the present invention, the environmental parameter may be various parameters of the environment where the environmental adjustment device is located.

[0031] For example, the environmental parameter may include at least one of indoor and / or outdoor temperature, humidity, wind direction, air volume, volume, audio frequency, luminance, color temperature, air quality, height of the building where the environmental adjustment device is located, geographical location of the building, climate information, room orientation, shielding information of surrounding buildings, room type information of the room where the environmental adjustment device is located, and information of other devices within the preset area.

[0032] In an embodiment of the present invention, the building where the environmental adjustment device is located is also referred to as the main building.

[0033] In an embodiment of the present invention, for example, the shielding information of surrounding buildings may be the shielding area of the surrounding buildings with respect to a preset area of the building where the environmental adjustment device is located. In this way, not only the information of the building where the environmental adjustment device is located is considered, but also the influence of surrounding buildings is considered, and the influence on the environmental adjustment device to be arranged can be more comprehensively considered, thereby further improving the arrangement accuracy.

[0034] In an embodiment of the present invention, the other device may be various other devices installed within the same preset area as the environmental adjustment device. For example, it may be at least one of a water supply tower on the roof of the building, a fresh air device outdoors and / or indoors, an exhaust fan, and a mechanical room.

[0035] The information of the other device may include at least one of the area and / or position of a water supply tower on the roof of the building, a fresh air device outdoors and / or indoors, an exhaust fan, and a mechanical room.

[0036] In this way, by considering the information of other devices already installed nearby, the influence on the environmental adjustment device to be arranged can be more comprehensively considered, thereby further improving the arrangement accuracy.

[0037] In an embodiment of the present invention, the room type information may include at least one of a building information (BIM) model, a building model of scan modeling, home layout information, a home two-dimensional drawing, and interior information.

[0038] For example, the interior information may include interior style and / or position and size information of the suspended ceiling.

[0039] In this way, by considering room type information, such as interior information, the difference from the actual scene is reduced, the actual parameters are simulated, the accuracy of the simulation result is further improved, and the difference from the actual scene is reduced, thereby further improving the placement accuracy. At the same time, it has high practicality.

[0040] In an embodiment of the present invention, the position information may further include the areas of a plurality of regions, for example, including the lengths and widths of the plurality of regions, and may further include the height information of the plurality of regions.

[0041] In this way, by inputting the areas of a plurality of regions, it can be equivalent to simulating each region, thereby further improving the placement accuracy.

[0042] In an embodiment of the present invention, the simulation model may be various simulation models. For example, the simulation model is a computational fluid dynamics (CFD) simulation model.

[0043] In an embodiment of the present invention, the simulation result of the target parameter in the preset region may include a change cloud map of the temperatures of a plurality of simulation points in the preset region at a plurality of time points or a plurality of time zones, and / or a change cloud map of the heat dissipation amounts of a plurality of simulation points in the preset region at a plurality of time points or a plurality of time zones.

[0044] For example, for the outdoor unit of an air conditioner, the simulation result is a heat dissipation change cloud map of a plurality of simulation points at a plurality of time points or in a plurality of time zones. For the indoor unit of the air conditioner, the simulation result is a temperature change cloud map of a plurality of simulation points at a plurality of time points or in a plurality of time zones.

[0045] FIG. 3 is an example of a temperature change cloud map of a plurality of simulation points at a plurality of time points or in a plurality of time zones according to Embodiment 1 of the present invention. As shown in FIG. 3, for the simulation points numbered 1-n, cloud maps of their temperatures at a plurality of time points are shown.

[0046] FIG. 4 is a flowchart of a simulation method for the outdoor unit of an air conditioner. As shown in FIG. 4, the method includes: step 401 of randomly dispersing a plurality of simulation points within a preset area of the roof of the building in the simulation model; step 402 of marking the positions of the plurality of simulation points on the plan view of the roof of the building and setting and simulating the heat dissipation of the plurality of simulation points; and step 403 of performing heat dissipation amount simulations for a plurality of time points or in a plurality of time zones for each of the plurality of simulation points at a preset temperature or a preset time, and using the simulation results of the heat dissipation amounts of the plurality of simulation points as the simulation results.

[0047] FIG. 5 is a flowchart of a simulation method for the indoor unit of an air conditioner. As shown in FIG. 5, the method includes: step 501 of randomly dispersing a plurality of simulation points within a preset area inside the room in the simulation model; step 502 of marking the positions of the plurality of simulation points on the plan view of the room and setting and simulating the air supply and return air modes of the plurality of simulation points; and step 503 of performing airflow and / or temperature simulations for each of the plurality of simulation points, and using the simulation results of the temperature and / or airflow of the plurality of simulation points as the simulation results.

[0048] In an embodiment of the present invention, after obtaining the simulation result, in step 102, based on the simulation result, the optimal position of the environmental adjustment device is calculated.

[0049] In an embodiment of the present invention, the optimal position of the environmental adjustment device includes at least one optimal position point and / or an optimal area.

[0050] When there are multiple calculated optimal positions, it is possible to select from the multiple optimal positions, or to arrange multiple environmental adjustment devices at the multiple optimal positions respectively.

[0051] In an embodiment of the present invention, the optimal position may be indicated by three-dimensional coordinates or may be indicated by two-dimensional coordinates.

[0052] In an embodiment of the present invention, the optimal position of the environmental adjustment device includes at least one of a position with good heat dissipation performance, a position that reaches the target temperature fastest, a position with good energy-saving performance, a position with good comfort, and a position with good decorativeness.

[0053] That is, different optimal positions can be obtained based on different goals or different consideration factors.

[0054] In an embodiment of the present invention, the optimal position of the environmental adjustment device can be calculated by a machine learning model, and for example, the optimal position of the environmental adjustment device can also be calculated by other methods such as an evaluation method based on scoring or ranking.

[0055] First, a method for calculating the optimal position of the environmental adjustment device by a machine learning model will be specifically described.

[0056] FIG. 6 is a schematic diagram for calculating the optimal position of the environmental adjustment device by the machine learning model according to Embodiment 1 of the present invention.

[0057] As shown in FIG. 6, the simulation result is input into the machine learning model 10, and the optimal position of the environment adjustment device is output.

[0058] In an embodiment of the present invention, the machine learning model may be various types of machine learning models. For example, the machine learning model may be a support vector machine (SVM) model or a convolutional neural network (CNN) model.

[0059] In an embodiment of the present invention, a portion corresponding to a preset height may be cut out from the simulation result, and used as the simulation result input into the machine learning model.

[0060] For example, the preset height is the installation height of the environment adjustment device or the average height of the user.

[0061] In this way, the result of simulation at the preset height is a simulation result that matches the comfort, and furthermore, the arrangement accuracy of the optimal position can be further improved.

[0062] In an embodiment of the present invention, furthermore, the simulation result and user information can be simultaneously input into the machine learning model. In this way, in order to consider the user's information, an optimal position that matches the user's needs and has good comfort can be obtained.

[0063] For example, the user information includes at least one of the user's position, movement trajectory, and clothing.

[0064] In an embodiment of the present invention, furthermore, the simulation result and the operation parameters of the environment adjustment device can be simultaneously input into the machine learning model. In this way, in order to consider the operation parameters of the environment adjustment device, an optimal position with high energy saving can be obtained.

[0065] For example, the operation parameters may be obtained from the overall cooperation of BIM, the operation parameters may be extracted from the simulation data, or the data for the trial operation before the shipment of the environmental control device may be collected and used as the operation parameters of the environmental control device.

[0066] In an embodiment of the present invention, after inputting the simulation result into the machine learning model and outputting the optimal position of the environmental control device, it is further input in a loop, that is, the simulation result and user information are input into the machine learning model, or the simulation result and the operation parameters of the environmental control device are input into the machine learning model, and more optimal positions can be obtained.

[0067] FIG. 7 is a flowchart of a method for implementing step 102 according to Embodiment 1 of the present invention. As shown in FIG. 7, the method includes: step 701 of inputting the simulation result into the machine learning model and outputting the first optimal position of the environmental control device; step 702 of inputting the simulation result and user information into the machine learning model and outputting the second optimal position of the environmental control device; and / or step 703 of inputting the simulation result and the operation parameters of the environmental control device into the machine learning model and outputting the third optimal position of the environmental control device.

[0068] In an embodiment of the present invention, after step 701, step 702 and / or step 703 can be repeatedly executed.

[0069] In an embodiment of the present invention, as shown in FIG. 6, in addition to using the simulation result as the input of the machine learning model 10, user information or the operation parameters of the environmental control device can further be input into the machine learning model 10.

[0070] In an embodiment of the present invention, the machine learning model may be obtained by pre-training.

[0071] FIG. 8 is a flowchart of a method for training a machine learning model according to Embodiment 1 of the present invention. As shown in FIG. 8, the method includes: a step 801 of inputting cloud maps at different time points or different time zones of a plurality of position points or a plurality of regions within the preset region into the machine learning model; a step 802 of automatically performing classification and regression to obtain a logical relationship between the data of the plurality of position points or the plurality of regions and the optimal position point, and outputting the optimal position point; and a step 803 of storing the machine learning model that has obtained the logical relationship.

[0072] For example, input the simulation results of 10 simulation points into the SVM model, and input, for example, the temperature change cloud map at different times or the video segment of the temperature change cloud map in different time zones of 10 simulation points into the machine learning model. The SVM model automatically trains the logic to obtain the logical relationship between the position data of 10 points and the optimal position point. Here, the logical relationship trained by the SVM can include the position point with the fastest heat dissipation, or may be other dimensions for determining the optimal position. For example, the position point that reaches the target temperature fastest, or the most energy-saving position point, or the most comfortable position point.

[0073] In the embodiment of the present invention, the optimal position may be calculated without using the machine learning model. For example, each simulation point may be evaluated. For example, ranking or scoring may be performed, and the optimal position is specified according to the evaluation result.

[0074] FIG. 9 is a flowchart of another method for realizing step 102 according to Embodiment 1 of the present invention. As shown in FIG. 9, the method includes: a step 901 of evaluating each simulation point in the simulation result; a step 902 of sorting each simulation point according to the evaluation result; and a step 903 of specifying the optimal position of the environmental adjustment device based on the evaluation results of the sorted simulation points.

[0075] In an embodiment of the present invention, evaluation criteria can be set according to the purpose. For example, based on whether the optimal position is the position point with the fastest heat dissipation, or the position point that reaches the target temperature the fastest, or the most energy-saving position point, or the most comfortable position point, specific evaluation criteria can be set.

[0076] For one of the evaluation criteria, a plurality of evaluation conditions can be included. For example, for each simulation point, the number of evaluation conditions satisfied by the simulation point is specified. For example, when two evaluation conditions are satisfied, the simulation point is specified as rank A; when one evaluation condition is satisfied, the simulation point is specified as rank B; when none of the evaluation conditions are satisfied, the simulation point is specified as rank C. Then, after sorting each simulation point according to the evaluation results, the simulation point with the highest evaluation rank, that is, the simulation point with rank A, can be specified as the optimal position point.

[0077] In an embodiment of the present invention, after calculating the optimal position of the environmental adjustment device, in step 103, based on the optimal position of the environmental adjustment device, the environmental adjustment device is arranged within the preset area.

[0078] In step 103, based on the interval matching the model number of the environmental adjustment device, a plurality of environmental adjustment devices can be laid out in sequence. Further, based on the ventilation influence of the environmental adjustment device, the number of arrangement areas of the environmental adjustment device and the number of environmental adjustment devices within the unit area are calculated.

[0079] For example, for the outdoor unit of an air conditioner, after calculating the optimal position point or the optimal area, when laying out the outdoor units by using the method of matching the corresponding interval based on the model number of the outdoor unit and laying them out in sequence, the layout accuracy of the outdoor units can be improved. Further, after calculating the optimal point or area, based on the ventilation influence of the outdoor unit (for example, wind direction, wind volume magnitude, distance), the number of arrangement areas of the outdoor unit and the number of outdoor units increased within a predetermined position within the unit area are obtained by calculation.

[0080] When other devices are previously provided on the roof of the building, it is also possible to calculate the position points and areas where heat dissipation is the fastest based on the forcibly selected mounting area and perform the layout of the outdoor unit.

[0081] Hereinafter, several specific embodiments will be shown by taking the outdoor unit or indoor unit of the air conditioner as an example.

[0082] FIG. 10 is a flowchart of a method for arranging the outdoor unit of the air conditioner according to Embodiment 1 of the present invention. As shown in FIG. 10, the method includes a step 1001 of inputting building information including the main building information and the shielding information of the surrounding buildings with respect to the main building into the simulation model, a step 1002 of inputting outdoor environmental parameters into the simulation model, a step 1003 of inputting the position coordinates (x, y, z) of a plurality of position points into the simulation model, a step 1004 of ending the simulation by the simulation model and outputting the result, a step 1005 in which the machine learning model calculates the optimal position of the outdoor unit based on the simulation result, and a step 1006 of selecting and arranging the layout of the outdoor unit according to the optimal position plan.

[0083] In this way, the layout position of the optimal environmental device of the outdoor unit is calculated from the simulation result. Furthermore, the layout accuracy of the outdoor unit is improved.

[0084] In an embodiment of the present invention, simulation can be further performed for each region. In this way, if one region is selected, the outdoor unit can be arranged. FIG. 11 is a flowchart of another method for arranging the outdoor unit of the air conditioner according to Embodiment 1 of the present invention. As shown in FIG. 11, the method includes: step 1101 of inputting building information including the main building information of the main building and the shielding information of the surrounding buildings with respect to the main building into the simulation model; step 1102 of inputting outdoor environmental parameters including temperature, humidity, and information of the roof device of the main building into the simulation model; step 1103 of inputting the areas of a plurality of regions, for example, length, width, and height Z, into the simulation model; step 1104 of outputting the simulation result when the simulation by the simulation model ends; step 1105 that the machine learning model calculates the optimal position of the outdoor unit based on the simulation result; and step 1106 of selecting and arranging the layout of the outdoor unit according to the optimal position while selecting one region.

[0085] FIG. 12 is a flowchart of a method for arranging the indoor unit of the air conditioner according to Embodiment 1 of the present invention. As shown in FIG. 12, the method includes: step 1201 of inputting room type information into the simulation model; step 1202 of inputting indoor and / or outdoor environmental parameters into the simulation model; step 1203 of inputting the position coordinates (x, y, z) of a plurality of position points into the simulation model; step 1204 of outputting the result when the simulation by the simulation model ends; step 1205 that the machine learning model calculates the optimal position of the indoor unit based on the simulation result; and step 1206 of selecting and arranging the layout of the indoor unit according to the plan of the optimal position.

[0086] Figure 13 is a flowchart of another method for arranging an indoor unit of an air conditioner according to Embodiment 1 of the present invention. As shown in Figure 13, the method includes: step 1301 of inputting room type information into a simulation model; step 1302 of inputting indoor and / or outdoor environmental parameters into the simulation model; step 1303 of identifying a plurality of position points (x, y, z) for each region based on the room type; step 1304 of randomly dispersing a plurality of simulation points in the room of the CFD model, marking the positions of the simulation points on the floor plan of the room, setting the air supply and return air modes of the plurality of simulation points to perform a simulation, performing air flow and temperature simulations for each of the plurality of simulation points, and outputting the temperature and air flow results of the plurality of simulation points as simulation results; step 1305 of inputting the simulation results of the change cloud map of the temperature field of different position points including a plurality of time points and / or time periods into an SVM model, and calculating an optimal position plan by the SVM model; step 1306 of inputting the position of a person or the operating parameters of the air conditioner into the SVM model and repeating step 1305; step 1307 of outputting the position point of the most comfortable or most energy-saving position; and step 1308 of arranging the layout of the indoor unit of the air conditioner according to the most comfortable or most energy-saving position plan.

[0087] In an embodiment of the present invention, the method for arranging the environmental adjustment device may be used in an actual scene, or may be automatically arranged in a Building Information Modeling (BIM) model, that is, a BIM model. Hereinafter, specific descriptions will be given respectively.

[0088] FIG. 14 is a flowchart of a method for arranging an environmental adjustment device in an actual scene according to Embodiment 1 of the present invention. As shown in FIG. 14, the method includes: step 1401 of inputting a building model or a two-dimensional drawing scanned and modeled in a simulation model, or inputting a BIM model; step 1402 of inputting environmental parameters into the simulation model; step 1403 of inputting position information of a plurality of regions and / or a plurality of position points into the simulation model; step 1404 of performing simulation by the simulation model and outputting a simulation result; step 1405 of calculating an optimal position of the environmental adjustment device based on the simulation result; and step 1406 of arranging the environmental adjustment device in the preset region based on the optimal position of the environmental adjustment device.

[0089] In this way, the obtained optimal position is matched with the actual situation on site, the environmental parameters are closer to the on-site data, and the simulation result is also more accurate. At the same time, the applicability is wide.

[0090] FIG. 15 is a flowchart of a method for arranging an environmental control device in the BIM model according to Embodiment 1 of the present invention. As shown in FIG. 15, the method includes: step 1501 of automatically converting the civil engineering drawing into a BIM model based on the BIM software; step 1502 of automatically arranging spaces based on the BIM software; step 1503 of setting the type and use of the building; step 1504 of calculating the load of the room and forming a load table; step 1505 of introducing the load table into a model selection table; step 1506 of automatically selecting a model based on the model selection software and automatically selecting the model number and quantity of the environmental control device; step 1507 of inputting the BIM model into the simulation model; step 1508 of inputting environmental parameters into the simulation model; step 1509 of inputting the position information of a plurality of regions and / or a plurality of position points into the simulation model; step 1510 of performing a simulation by the simulation model and outputting a simulation result; step 1511 of calculating the optimal position of the environmental control device based on the simulation result; and step 1512 of arranging the environmental control device in the preset region based on the optimal position of the environmental control device.

[0091] In this way, taking an air conditioner as an example, the entire process of designing the air conditioner system can be realized by digitizing, for example, the air conditioner system and each device information. Also, in the distribution phase here, the generated distribution plan is consistent with the actual construction plan, further improving the design accuracy, reducing the error between the position of the indoor unit and the actually calculated and arranged position, and further improving the accuracy of the actual arranged position of the indoor unit of the air conditioner, reducing the deviation from the actual situation. After the corresponding selection and arrangement are completed, the corresponding pipes and wiring are changed to appropriate diameters accordingly. The guidance for on-site assembly is stronger. Furthermore, it leads to the building design phase, is shared on the cloud side, facilitating communication among all stakeholders, with a high-precision material list, comprehensive information, shared by multiple stakeholders, information synchronization, and avoiding errors caused by subjective judgment.

[0092] In an embodiment of the present invention, the BIM-based software can include at least one of Revit, Hongye BIMSpace, Hongye Load Calculation 8.0, MagiCAD, and Navisworks software.

[0093] Corresponding to the above steps, the software includes a conversion module for converting a two-dimensional drawing into a 3D (BIM) model, a first automatic placement module for automatically placing the names (numbers) of the corresponding rooms for each area, a building load module for calculating the cooling and heating loads of the rooms, an automatic model selection module for introducing the cooling and heating loads into a model selection table and performing automatic model selection, a load verification module for automatically calculating the adjusted cooling and heating loads of the rooms, a second automatic placement module for automatically placing the models of the corresponding air conditioners, an automatic pipe connection module for automatically connecting the air conditioners, an automatic diameter change module for automatically changing to the corresponding pipe diameter according to the model number of the air conditioner, and a material sharing module for outputting the material list of the air conditioner and sharing it in the cloud.

[0094] FIG. 16 is a flowchart of a method for implementing step 1501 according to Embodiment 1 of the present invention. As shown in FIG. 16, the method includes step 1601 of introducing an AutoCAD drawing whose content includes building walls, doors, window blocks, and their parameter information into revit software, step 1602 of setting the floor height, picking the wall, door, and window blocks, and then automatically converting the blocks into a 3D BIM model, and step 1603 of constructing a floor slab to form a sealed space model.

[0095] In the implementation of the present invention, the drawings exported from within AutoCAD are in the DWG format. Regarding the construction of the floor slab drawing here, the floor slab may be constructed automatically or manually. Since there is almost no situation where the structural floor height is reduced for most of the above-ground floor slabs, it is faster to select manual construction of the floor slab. For the basement, the function of automatically constructing the floor slab can be used. Also, if the integrity of the CAD drawing is good, there is no need to select manual construction, and after a successful layout-model conversion, it will naturally become a complete BIM model, and there is no need to construct the floor slab.

[0096] In this way, when performing a layout-model conversion of a 2D drawing into a 3D BIM model, it is easy to refer to and obtain information later.

[0097] Figure 17 is a flowchart of a method for implementing step 1502 according to Embodiment 1 of the present invention. As shown in Figure 17, the method includes step 1701 where the revit software automatically arranges the room commands and automatically identifies the rooms, step 1702 where the revit software automatically picks the space commands, and step 1703 where the name of each space is adjusted.

[0098] In this way, by automatically arranging to correspond to each room, manually adjusting the name of each room, and further providing a basis for automatically selecting the model in the later stage, it becomes easier and more accurate to match the models according to the rooms. Of course, the adjustment here currently still belongs to manual adjustment. Of course, batch editing can also be performed.

[0099] Figure 18 is a flowchart of a method for implementing step 1503 according to Embodiment 1 of the present invention. As shown in Figure 18, the method includes: step 1801 of setting the building type based on the Hongye plugin; step 1802 of setting the building use based on the Hongye plugin; and step 1803 of deriving a gbxml file including the floor area, room number, floor height, building material, orientation, window area, and door area of the building.

[0100] In this way, by automatically corresponding the building type and application to the necessary elements for model selection, the scope of use of the present invention is broadened. Although the air conditioner was arranged later, the situation of re-correcting the layout of the air conditioner due to the type and application area is avoided, and the accuracy of the arrangement is improved.

[0101] For example, for a building, its basement is a parking lot, the first and second floors are supermarkets, the third floor is for dining, and the fourth floor to the top floor are for business or residential use. That is, the required air conditioner series for each floor is different. Of course, due to the influence of seasons and geographical locations, before model selection and distribution, the application and type of the building are specified, and the function guides for each floor are specifically confirmed. After confirmation, batch editing can be performed corresponding to each floor, and the speed is improved to ensure accuracy.

[0102] Figure 19 is a flowchart of a method for implementing step 1504 according to Embodiment 1 of the present invention. As shown in Figure 19, the method includes: step 1901 of deriving gbxml and IFC files based on the revit software; step 1902 of introducing the gbxml file; step 1903 that the Hongye load calculation software automatically reads the information of the building type, use, floor area, floor height, building material, orientation, window area, and door area; and step 1904 of calculating the cooling and heating loads for each room and deriving a load calculation table including information such as the room area, floor, maximum time of the total summer cooling load, total summer cooling load, and fresh air volume in summer.

[0103] In this way, load calculations are performed on the BIM model based on two formats, namely IFC and gbXML, and information regarding building geometric spatial information, room functions, location climate information, building floor areas, room numbers, floor heights, building materials, orientations, window areas, door areas, etc. is converted. Cooling and heating loads are calculated for each room, a load calculation table is derived, and a high-precision foundation for model selection is further established.

[0104] Figure 20 is a flowchart of a method for implementing step 1505 according to Embodiment 1 of the present invention. As shown in Figure 20, the method includes step 2001 of introducing data of the load table into a fixed model selection table, and step 2002 of automatically generating a model selection table of corresponding model selection software if executed.

[0105] In an embodiment of the present invention, the content of the model selection table can include floors, air conditioner numbers, room types, room names (room numbers), cooling indices, heating indices, indoor unit series, indoor unit model numbers, and quantities, forming a comprehensive model selection list with information. This enables the system to automatically search and easily select models, avoiding the situation in the prior art where models are selected manually through association, and allowing the system to automatically search and select models accordingly.

[0106] Figure 21 is a flowchart of a method for implementing step 1506 according to Embodiment 1 of the present invention. As shown in Figure 21, the method includes step 2101 of introducing the model selection table into corresponding model selection software, step 2102 of automatically selecting corresponding air conditioner series so that, for example, various series of air conditioners are used for one building, step 2103 of automatically selecting appropriate indoor unit model numbers and the quantity of indoor units, step 2104 of automatically matching an outdoor unit so that, for example, it is 10P for 600 square meters and calculating indoor unit total cooling capacity / outdoor unit cooling capacity × 100%, and step 2105 of automatically calculating the adjusted unit cooling load of the room and verifying the matching of the room type and indoor unit after matching.

[0107] In this way, the selection of the air conditioner series is related to the application, and the air conditioner series can be matched based on energy conservation. Here, not only the design of the air conditioning system can be visualized, but for example, commercial projects generally use medium-static pressure blowers, and specific situations are adjusted according to the needs of customers. Residential projects generally use the VRV residential N series, and specific situations are adjusted according to the needs of customers. Based on the application, field, and functional guidance of the building, the corresponding air conditioner series can be automatically determined, and based on the load and geographical location of each room, the model number and quantity of the corresponding air conditioner can be automatically determined, for example, how much horsepower and how many indoor units.

[0108] In the embodiments of the present invention, the combination of the load table and the model selection table can be used to fully automate the model selection, thereby improving the efficiency and construction accuracy of BIM HVAC design. When using the model selection method of the embodiments of the present invention, the accuracy of automatic model selection is higher, the applicability is wide, it not only covers the applicability of the same type of air conditioner, but also includes the application specifications and series of air conditioners under various influencing factors, comprehensively considers the factors of model selection, and on the premise of ensuring the accuracy of model selection, improves the efficiency of model selection.

[0109] At the same time, the unit cooling load after matching is further verified, the matching accuracy between the model number of the air conditioner and the room is verified, and two-way verification is carried out to further improve the matching accuracy.

[0110] In addition, there may be a possibility that some rooms cannot select the appropriate model number. To ensure the accuracy, the model number and quantity of the corresponding air conditioner can be manually adjusted.

[0111] FIG. 22 is a flowchart of another method for implementing step 1506 according to Embodiment 1 of the present invention. As shown in FIG. 22, the method includes: step 2201 of introducing a model selection table into corresponding model selection software; step 2202 of automatically selecting a corresponding series of air conditioners for use with various series of air conditioners for, for example, one building; step 2203 of manually adjusting the model number and quantity of the air conditioner if the requirements are not met after model selection for a room; and step 2204 of automatically calculating the unit cooling load of the adjusted room after matching and verifying the matching performance between the room type and the indoor unit.

[0112] In this way, for small-area rooms such as the maid's room, laundry room, or power distribution room, separate adaptation is required. While further ensuring that all rooms are matched with appropriate series, model numbers, and quantities, two-way verification is performed to ensure the adaptation accuracy.

[0113] FIG. 23 is a flowchart of a method for implementing steps 1507 to 1512 according to Embodiment 1 of the present invention. As shown in FIG. 23, the method includes: step 2301 of introducing a model selection table into the air conditioner plug-in of the revit software; step 2302 of the air conditioner plug-in of the revit software automatically reading the EXCEL model selection table; and step 2303 of automatically arranging indoor units corresponding to each room of the BIM model.

[0114] In this way, regarding how to arrange the air conditioner at the optimal position indoors, considering the factors that are most likely to affect future changes in BIM HVAC design, a comprehensive design plan is carried out for distribution accuracy. Both real estate owners and developers can obtain the most satisfactory air conditioner placement plan. At the same time, the HVAC design, by not only considering simple visualization but also more factors such as construction and the designer's design plan, can ensure that the accuracy of the design plan can guide actual construction, eliminating the need for subjective judgment on-site. With this design plan, the effect diagram after construction completion can be viewed, maximizing the guiding significance of BIM for HVAC design.

[0115] Specifically, the following steps are taken to avoid situations where the position of the air conditioner in the later stage due to the interior style is different from that automatically arranged by BIM, considering the interior style. This is completed in one step and used for real estate developers and owners to select. By using a scoring or ranking method, the optimal air conditioner position point (coordinates) plan is selected, and based on the optimal position point plan, it is marked and distributed indoors in the BIM model. Of course, considering the height of the indoor unit position point, the coordinates (X, Y, Z) of the optimal point of the plan can be output accordingly. The simulation system can specifically display the cross-sectional view of the height of the air outlet of the indoor unit and visualize the air supply direction of the indoor unit at this height position. Of course, the shape and size of the indoor unit can be specified for simulation, or simulation can be carried out in different seasons. In the process of selecting multiple simulation points, simulation points at different heights and different positions can be selected.

[0116] FIG. 24 is a flowchart of an embodiment of a method for implementing step 2303 according to Embodiment 1 of the present invention. As shown in FIG. 24, the method includes: step 2401 of introducing a model selection table into the revit air conditioner plug-in; step 2402 in which the revit air conditioner plug-in automatically reads the EXCEL model selection table; step 2403 of specifying a room type, lighting, orientation, geographical location, or interior style; step 2404 of deriving a lightweight model readable by the CFD simulation model; step 2405 of introducing the derived CFD simulation model into the CFD software; step 2406 of specifying a plurality of position points (x, y, z) for each region based on the room type; step 2407 of randomly dispersing a plurality of simulation points in the rooms of the CFD simulation model, marking the positions of the simulation points on the floor plan, and setting the air supply and return air modes for the plurality of simulation points; step 2408 of performing airflow and temperature simulations for each of the plurality of simulation points and outputting the temperature and airflow results of the plurality of simulation points as simulation results; step 2409 of inputting simulation results such as, for example, a change cloud map of the temperature field at different position points at a plurality of time points / time zones; step 2410 of calculating an optimal position plan by the SVM model calculation module; step 2411 of inputting the position (x, y) of a person and the operating state of the air conditioner; step 2412 of calculating and outputting an optimal position plan by the SVM model, that is, repeating step 2410; and step 2413 of arranging the indoor unit of the air conditioner according to the optimal position.

[0117] The above may adopt the machine learning module to calculate the optimal position and adopt the method of specifying the optimal position by ranking.

[0118] FIG. 25 is a flowchart of another embodiment of a method for implementing step 2303 according to Embodiment 1 of the present invention. As shown in FIG. 25, the method includes the following.

[0119] In step 2501, after specifying the interior suspended ceiling plan, a model of the interior suspended ceiling is constructed using Revit.

[0120] In an embodiment of the present invention, based on the room type, orientation, lighting, and doors and windows, the design of the interior suspended ceiling plan is carried out. After specifying the interior suspended ceiling plan, a suspended ceiling model can be constructed.

[0121] In step 2502, a lightweight model readable by CFD software is derived. In an embodiment of the present invention, the derived lightweight model includes various parameters.

[0122] In step 2503, the derived CFD simulation model is introduced into the CFD software.

[0123] Specifically, the derived lightweight model is introduced into the CFD simulation software. Specific simulation software can further include simulation software such as SimuWorks, VR-Platform, airpark, and Floven.

[0124] In step 2504, a plurality of simulation points are randomly dispersed in the rooms of the CFD simulation model, and the air supply and return air methods of the plurality of simulation points are set.

[0125] In step 2505, airflow and temperature simulations are performed for each of the plurality of simulation points to generate simulation results.

[0126] In step 2506, the temperature and airflow results of the plurality of simulation points are analyzed together, and ranks are assigned to the plurality of simulation points.

[0127] In step 2507, the positions of the simulation points are marked on the floor plan, and the ranks of the simulation points are sorted.

[0128] Step 2508, in which the air conditioner is arranged corresponding to the simulation point with the highest rank.

[0129] In an embodiment of the present invention, further, referring to the fact that it is optimal to place the ceiling unit in the middle and it is optimal to place the air blower near the edge of the wall, it is directly added within the reference standard of the position.

[0130] The steps of steps 2506 to 2508 may specifically include the following.

[0131] Step 2506-1, in which it is automatically determined and compared whether the temperature field during simulation at the simulation point covers the entire indoor space.

[0132] For example, the simulation point closer to the edge of the room is the optimal layout point in terms of decorativeness. Referring to the fact that different series of air conditioners are installed at different positions as a reference standard.

[0133] Step 2507-1, in which the ranks or scores of a plurality of simulation points are output. If the above two evaluation criteria are met, it is evaluated as A; if one of them is met, it is evaluated as B; if not, it is evaluated as C.

[0134] Step 2508-1, in which the distribution plan with the optimal decorativeness is specified. The plan of A is output, introduced into the BIM model, and the distribution of the plan of A is carried out.

[0135] In this way, based on the decorativeness, the optimal position points of the air conditioner are simulated, and the accuracy is further improved. By changing the position of the indoor unit for the interior style in the later stage, it is possible to avoid a situation where the deviation from the actual situation is too large. In the embodiments of the present invention, by reserving and simulating the optimal position points in advance and using the optimal air conditioner position arrangement plan in this interior style, the design accuracy of the air conditioner arrangement is further improved. Additionally, it is possible to select different sizes and shapes of indoor units, perform simulations, and finally obtain the position of the air conditioner that optimally matches the decorativeness.

[0136] FIG. 26 is a flowchart of a further embodiment of a method for implementing step 2303 according to Embodiment 1 of the present invention. As shown in FIG. 26, the method includes step 2601 of identifying the room type, lighting, orientation, and geographical location, step 2602 of deriving a lightweight model readable by CFD software, step 2603 of introducing the derived CFD simulation model into the CFD software, step 2604 of randomly dispersing a plurality of simulation points in the room of the CFD simulation model and setting the air supply and return air methods for the plurality of simulation points, step 2605 of performing airflow and temperature simulations for each of the plurality of simulation points and generating simulation results, step 2606 of collectively analyzing the temperature and airflow results of the plurality of simulation points and giving scores to the plurality of simulation points, step 2607 of marking the positions of the simulation points on the floor plan and sorting the scores of the simulation points, and step 2608 of arranging the air conditioner corresponding to the simulation point with the highest score.

[0137] In the embodiments of the present invention, in addition to the evaluation criteria for decorativeness, other evaluation criteria can be further adopted. For example, with respect to the evaluation criteria for comfort, steps 2506 to 2508 can specifically include the following.

[0138] Step 2506-2, in which the system performs a simulation of the simulation points.

[0139] For example, collect the state diagram of the temperature field, and the red ratio: green ratio is below a predetermined ratio.

[0140] Step 2507-2, in which the rank or score of multiple simulation points is output. For example, if the conditions are met, it is determined as A, and if the conditions are not met, it is determined as B.

[0141] Step 2508-2, in which a plan of A is output and distribution settings are performed using the BIM model.

[0142] In this way, instead of simulating the most comfortable position from parameters such as room size, room type, orientation, light irradiation, season, geographical location of the window, and floor height, and making a determination by subjectively arranging at a position far from the human position when the shapes of different air supply outlets and return air outlets are different, the comfort evaluation criteria of the embodiments of the present invention further specify the comfortable installation position of the air conditioner, and the design accuracy is optimal.

[0143] Regarding evaluating whether the position of the indoor simulation point is a position with high comfort, the steps of steps 2506 to 2508 can specifically include the following.

[0144] Step 2506-3, in which the system performs a simulation of the simulation points.

[0145] For example, take a photo during a predetermined time period and judge the time result when the temperature field equalization time is the fastest and becomes uniform.

[0146] Step 2507-3, in which the simulation results are input, judged, analyzed and sorted, and sorted in ranks ABC according to the length of time.

[0147] In step 2508-3, the A-rank plan is the most comfortable point. Output the A-rank distribution plan and perform the distribution of simulation points corresponding to BIM.

[0148] In this way, the most comfortable position point can be obtained, the accuracy of comfort can be improved, and the simulation time can be saved. Furthermore, by sorting, the reasons why air conditioners cannot be placed at other position points can be clearly understood.

[0149] For example, regarding the energy-saving evaluation criteria, the steps of steps 2506 to 2508 specifically include step 2506-4 of identifying the temperature field, arranging ten points distributed in the room, taking the state where the temperature is the highest or the lowest, setting the temperature, and outputting the simulation point that reaches the set temperature in the shortest time as the simulation result, step 2507-4 of inputting the simulation result and performing ranking and sorting based on ranks ABC, and step 2508-4 where the A-rank plan is the most energy-saving point, outputting the A-rank distribution plan, and performing the distribution of simulation points corresponding to BIM.

[0150] In this way, the most energy-saving distribution point of the air conditioner can be selected earliest, improving the design efficiency while ensuring the design accuracy. Also, based on parameters such as the room size, room type, orientation, light irradiation, season, geographical location of the window, and floor height, the most energy-saving position is simulated, rather than subjectively judging and arranging it in a place far from the door and window. Therefore, the energy-saving evaluation criteria of the embodiments of the present invention further specify the energy-saving installation position of the air conditioner, and the design accuracy is optimal.

[0151] For example, regarding the energy-saving evaluation criteria, the steps of steps 2506 to 2508 specifically include step 2506-5 of identifying the temperature field, arranging ten points distributed in the room, presetting the time period, setting the temperature, and outputting the operating time of each air conditioner as a simulation result, step 2507-4 of inputting the simulation result and performing ranking and sorting based on rank ABC, and step 2508-4 that the A-rank plan is the most energy-saving point, outputting the distribution plan of the A-rank, and performing the distribution of the simulation points corresponding to BIM.

[0152] In this way, the standard for judging energy saving with the operating time of the air conditioner as the dimension is more practical and has a higher energy-saving effect when simulated.

[0153] In the embodiments of the present invention, the arrangement method based on the above ranking can provide options for customers. After obtaining the design of the air conditioner, the customer can select, for example, a highly decorative one, or an energy-saving or comfortable one, and can freely choose. The corresponding BIM model generates the corresponding effect based on the selection. In addition, in order to enhance the persuasiveness, a selection notice can be further given to the user.

[0154] In the embodiments of the present invention, it is also possible to visualize the distribution position of the air conditioner only based on the room type, and the arrangement method is as follows.

[0155] For example, for a rectangular room type rule, when the number of indoor units is 1 to 3, the indoor units are arranged in a straight line in a row and centered; when the number of indoor units is 4 to 6, the indoor units are arranged in a straight line in two rows and centered; when the number of indoor units is 7 to 9, the indoor units are arranged in a straight line in three rows and centered. The cross-sections of the air outlets of the indoor units in each of the above rows are in the same horizontal plane.

[0156] For example, regarding the placement rules of square room type indoor units, when the number of indoor units is 1 to 3, they are arranged in a straight line in a row and placed in the center. When there are 4 and 5 indoor units, the indoor units are arranged in a circular shape, and the air outlets of the indoor units in each row are on the horizontal plane.

[0157] For example, regarding the placement rules of indoor units of other room types, in this case, all the indoor units are arranged in a straight line, the air outlets of the indoor units are on the same horizontal plane, and the placement of the indoor units that does not exceed the scope of the room is adopted.

[0158] The above is the optimal position that is not calculated by the AI model.

[0159] Specifically, upload the drawing of the indoor interior decoration, correct the position of the indoor unit in the reverse direction, correct the position of the indoor unit, and match the arrangement of the indoor unit according to the floor plan design or calculation. The placement step in step 2303 can further include reverse correction to facilitate the later maintenance of the air conditioner. Specifically, it is external intervention, including uploading the external interior design drawing into the BIM model and matching the distribution position of the air conditioner in the BIM with the position in the design drawing.

[0160] Accordingly, step 2302 specifically includes reading the data of room numbers, room names, device model numbers and quantities in the Excel table, automatically capturing the device families in the revit library in the revit software, and correspondingly arranging the device model numbers and quantities in the table based on the room numbers created in the revit model.

[0161] In the embodiment of the present invention, after the placement of the indoor unit is completed, taking the multi-air conditioner as an example, after the placement of the indoor unit is completed, the main pipes of the refrigerant pipe and the condensate water pipe are drawn, and it is necessary to select or click to select the indoor units to be connected to the same air conditioning system with a box. It can further include S81, manually arranging the outdoor unit S82, and manually connecting the outdoor unit and the indoor unit of the air conditioning system S83.

[0162] Note that it does not match the standards of the water system or the air system at all for the refrigerant system.

[0163] After step S83, it can further include S9 that automatically changes the diameter based on the piping of the air conditioner in Revit.

[0164] The step of S9 specifically includes S91 of clicking and selecting the main pipe or branch pipe of the multi-air conditioner and automatically picking the devices and piping of the entire air conditioning system, S92 of the piping automatically changing the diameter based on the principle of the refrigerant pipe of the air conditioner, and S93 of the piping automatically changing the diameter based on the principle of the condensate water pipe and the piping of the air conditioner.

[0165] In step S92, specifically, the principle of the piping of the refrigerant pipe of the air conditioner is as shown in Table 1.

[0166]

Table 1

[0167] In step S93, the specific principle of the piping of the condensate water pipe is as shown in Table 2.

[0168]

Table 2

[0169] In the embodiment of the present invention, after step S9, it can further include S10 of plotting the drawing based on the material statistics in Revit and the DWG format.

[0170] The step of S10 specifically includes S11 of deriving the material list based on the pipe length, pipe specification, pipe fitting specification, and pipe material parameters in the Revit electromechanical model, S12 of automatically adding pipe marks and device marks to the Revit plan view and deriving the DWG drawing, and S13 of uploading and sharing to the cloud.

[0171] In this way, by deriving the list table, it is possible to better guide the materials to be purchased in the later-stage design accuracy and construction production, and further improve the design accuracy of the environmental adjustment device.

[0172] In the embodiment of the present invention, the indoor unit and the outdoor unit of the air conditioner may be arranged simultaneously. Furthermore, the arrangement accuracy is further improved, the operation efficiency of the air conditioner is improved, and the service life is extended.

[0173] FIG. 27 is a flowchart of a method for simultaneously arranging an indoor unit and an outdoor unit of an air conditioner according to Embodiment 1 of the present invention. As shown in FIG. 27, the method includes step 2701 of automatically converting a civil engineering drawing into a BIM model based on software (Revit), step 2702 of automatically arranging spaces based on software (Revit), step 2703 of setting the type and use of a building, step 2704 of calculating a load and forming a load table, step 2705 of introducing the load table into a model selection table including model numbers corresponding to, for example, a living room, a kitchen, and a toilet, step 2706 of automatically selecting a model based on model selection software and automatically selecting the horsepower number and number of corresponding air conditioners, step 2707 of inputting a BIM model, step 2708 of inputting a plurality of position points (x, y, z), step 2709 of simulating by a simulation model and outputting a simulation result, step 2710 of calculating an optimal position by a calculation module based on the simulation result, step 2711 of arranging an indoor unit according to the optimal position, step 2712 of inputting a scanned modeling, a positioned building or a two-dimensional drawing, or inputting a BIM building model, or inputting models of other new air devices and a machine room, a water tower, etc., step 2713 of inputting environmental parameters such as data of collected outdoor temperature and humidity, step 2714 of inputting a plurality of regions / position points (X, Y, Z), step 2715 of simulating by a simulation model and outputting a simulation result, step 2716 of inputting the simulation result, step 2717 of calculating an optimal position point / region based on the simulation result, and step 2718 of arranging an outdoor unit based on the optimal position point / region plan.

[0174] FIG. 28 is a flowchart of a method for arranging an air conditioner with excellent energy-saving performance according to Embodiment 1 of the present invention. As shown in FIG. 28, the method includes step 2801 of automatically converting a drawing of civil engineering work into a BIM model based on software, step 2802 of automatically arranging spaces based on software, step 2803 of setting the type and use of a building, step 2804 of calculating a load and forming a load table, step 2805 of introducing the data of the load table into a fixed model selection table, step 2806 of being able to automatically generate a model selection table of corresponding model selection software if executed, step 2807 of introducing the model selection table into the corresponding model selection software, step 2808 of automatically selecting a corresponding series of air conditioners so that, for example, various series of air conditioners can be used for one building, step 2809 of automatically selecting an appropriate indoor unit model number and the number of indoor units, step 2810 of automatically matching an outdoor unit so that it is 10P for 600 square meters and calculating the indoor unit total cooling capacity / outdoor unit cooling capacity × 100%, step 2811 of automatically calculating the adjusted unit cooling load of the room after matching and verifying the matching property between the room type and the indoor unit, step 2812 of introducing the model selection table into the air conditioner plug-in of revit, step 2813 of the revit air conditioner plug-in automatically reading the EXCEL model selection table, step 2814 of specifying the room type, daylighting, orientation, and geographical location, step 2815 of deriving a lightweight model readable by CFD software, step 2816 of introducing the derived CFD simulation model into the CFD software, step 2817 of randomly dispersing a plurality of simulation points in the room of the CFD simulation model and setting the air supply and return air methods of the plurality of simulation points, step 2818 of performing airflow and temperature simulations for each of the plurality of simulation points and generating simulation results, specifying a temperature field, arranging ten points distributed in the room, presetting a time zone, setting a temperature,Step 2819 of outputting the operating time of each air conditioner as a simulation result, step 2820 of inputting the simulation result and sorting based on rank ABC, the plan of rank A is the most energy-saving, outputting the distribution plan of rank A, and performing the distribution of simulation points corresponding to BIM in step 2821, step 2822 of automatically connecting the pipes, that is, automatically connecting the pipeline, step 2823 of automatically changing the diameter, for example, automatically changing to the corresponding pipe diameter based on the model number so that several horsepower corresponds to several pipe diameters, and step 2824 of outputting a material list table (including devices and materials, for example), drawings, and sharing them in the cloud.

[0175] The above takes energy efficiency as an example. It is also possible to arrange the air conditioners by combining the interior style with energy efficiency or decorativeness. The specific method is similar, and detailed description is omitted here.

[0176] As can be seen from the above embodiments, based on the simulation results of the target parameters within the preset area, calculate the optimal position of the environmental adjustment device, and perform the layout of the environmental adjustment device based on the optimal position. In this way, in actual operation, the optimal position of the environmental adjustment device can be quickly and accurately identified, and the layout can be performed, and at the same time, a fully automated layout flow of the environmental adjustment device can be realized. At the same time, the design accuracy of the environmental adjustment device is closer to the actual installation situation, and it can be applied not only to the automatic layout within the software, but also to the actual installation situation of the environmental adjustment device without going through the software design layout, and the application range is wide.

[0177] (Embodiment 2) Embodiment 2 of the present invention provides an arrangement device for an environmental adjustment device corresponding to the arrangement method of the environmental adjustment device described in Embodiment 1. For its specific implementation, reference can be made to the implementation of the method described in Embodiment 1, and the same content or related content will not be repeatedly described.

[0178] FIG. 29 is a schematic diagram of an arrangement device of an environment adjustment device according to Embodiment 2 of the present invention. As shown in FIG. 29, the arrangement device 2900 of the environment adjustment device includes an acquisition means 2901 for acquiring a simulation result of target parameters within a preset area, a calculation means 2902 for calculating an optimal position of the environment adjustment device based on the simulation result, and an arrangement means 2903 for arranging the environment adjustment device within the preset area based on the optimal position of the environment adjustment device.

[0179] In the embodiments of the present invention, for the realization of the functions of the above-mentioned respective means, reference may be made to the content of the related steps in Embodiment 1, and details will not be repeatedly described herein.

[0180] As can be seen from the above embodiments, based on the simulation result of the target parameters within a preset area, the optimal position of the environment adjustment device is calculated, and the layout of the environment adjustment device is performed based on the optimal position. In this way, in actual operation, the optimal position of the environment adjustment device can be quickly and accurately determined, and the layout can be performed. At the same time, a completely automated arrangement flow of the environment adjustment device can be realized. Moreover, the design accuracy of the environment adjustment device is closer to the actual installation situation. It can be applied not only to the automatic arrangement within the software, but also to the actual installation situation of the environment adjustment device without going through the software-based design layout, and has a wide range of applications.

[0181] (Embodiment 3) Embodiment 3 of the present invention provides an arrangement system of an environment adjustment device including the arrangement device of the environment adjustment device described in Embodiment 2. For its specific implementation, reference may be made to the implementation of the device described in Embodiment 2 and the method described in Embodiment 1, and the same content or related content will not be repeatedly described.

[0182] FIG. 30 is a structural diagram of an environmental adjustment device placement system according to Embodiment 3 of the present invention. As shown in FIG. 30, the environmental adjustment device placement system 3000 includes a collection device 3001 that collects environmental parameters and a placement device 3002 for the environmental adjustment device.

[0183] In an embodiment of the present invention, the environmental adjustment device may be various types of environmental adjustment devices. For example, the environmental adjustment device may be at least one of an air conditioner, an air purifier, a fresh air device, a humidifier, a disinfection device, a lighting device, and an audio device.

[0184] In an embodiment of the present invention, the environmental adjustment device placement system 3000 may be used for household use, or may be used for business or public use.

[0185] For example, the environmental adjustment device placement system 3000 may be used in a home environment, or may be used in a commercial environment such as an office, an office building, a department store, or a public environment such as a school.

[0186] In an embodiment of the present invention, the collection device 3001 can include various sensors that collect environmental parameters, and can further include a server or the like that acquires and stores environmental parameters.

[0187] In an embodiment of the present invention, for the specific structure and function of the environmental adjustment device placement device 3002, reference may be made to the device described in Embodiment 2 and the method described in Embodiment 1, and details will not be repeated here.

[0188] As can be seen from the above embodiments, based on the simulation results of the target parameters within a preset area, the optimal position of the environmental adjustment device is calculated, and the layout of the environmental adjustment device is carried out based on the optimal position. In this way, in actual operation, the optimal position of the environmental adjustment device can be quickly and accurately identified, and the layout can be carried out. At the same time, a completely automated layout process for the environmental adjustment device can be realized. At the same time, the design accuracy of the environmental adjustment device is closer to the actual installation situation. Moreover, it can be applied not only to the automatic layout within the software, but also to the actual installation situation of the environmental adjustment device without going through the software design layout, and has a wide range of applications.

[0189] The above device and method according to the embodiments of the present invention may be implemented in hardware or may be implemented by combining software with hardware. The present invention relates to such a computer-readable program, and when the program is executed by a logic component, the logic component can implement the above device or component, or the logic component can implement the above various methods or steps.

[0190] The embodiments of the present invention further relate to a storage medium for storing the above program, such as a hard disk, a magnetic disk, an optical disk, a DVD, a flash memory, etc.

[0191] It should be noted that the limitation of the order of each step according to this solution does not limit the order of the steps on the premise that it does not affect the implementation of the specific solution. The steps written earlier may be executed first, may be executed later, or may be executed simultaneously with subsequent steps. As long as this solution can be implemented, all of them should be regarded as belonging to the protection scope of the present application.

[0192] The present invention has been described with reference to the specific embodiments above. However, those skilled in the art should understand that all of these descriptions are exemplary and do not limit the protection scope of the present invention. Those skilled in the art can make various modifications and corrections to the present invention based on the spirit and principle of the present invention, and these modifications and corrections are also within the scope of the present invention.

Prior Art Documents

Patent Documents

[0193]

Patent Document 1

Claims

1. A computer, obtains a simulation result of target parameters within a preset area; calculates an optimal position of an environment adjustment device based on the simulation result; arranges the environment adjustment device within the preset area based on the optimal position of the environment adjustment device; executes, wherein the simulation result of the target parameters within the preset area includes a change cloud map of temperatures at a plurality of time points or time zones of a plurality of simulation points within the preset area, and / or a change cloud map of heat dissipation amounts at a plurality of time points or time zones of a plurality of simulation points within the preset area; obtaining the simulation result of the target parameters within the preset area randomly disperses a plurality of simulation points within a preset area in a room of a simulation model; marks positions of the plurality of simulation points on a floor plan of the room, sets air supply and return air modes of the plurality of simulation points, and performs a simulation; performs airflow and / or temperature simulation for each of the plurality of simulation points, and uses the simulation results of the temperatures and / or airflow of the plurality of simulation points as the simulation result; includes A method for arranging an environment adjustment device, characterized by the above.

2. A computer, obtains a simulation result of target parameters within a preset area; calculates an optimal position of an environment adjustment device based on the simulation result; arranges the environment adjustment device within the preset area based on the optimal position of the environment adjustment device; A method for arranging an environment adjustment device that executes, wherein the simulation result of the target parameters within the preset area includes a change cloud map of temperatures at a plurality of time points or time zones of a plurality of simulation points within the preset area, and / or a change cloud map of heat dissipation amounts at a plurality of time points or time zones of a plurality of simulation points within the preset area; obtaining the simulation result of the target parameters within the preset area randomly disperses a plurality of simulation points within a preset area in a room of a simulation model; Mark the positions of the plurality of simulation points on the floor plan of the room, set the air supply and return air methods for the plurality of simulation points, and perform a simulation; Perform air flow and / or temperature simulation for each of the plurality of simulation points, and use the temperature and / or air flow simulation results of the plurality of simulation points as the simulation results; including; A method for arranging an environmental control device, characterized in that.

3. The computer Obtain the simulation results of the target parameters within a preset area; Calculate the optimal position of the environmental control device based on the simulation results; Arrange the environmental control device within the preset area based on the optimal position of the environmental control device; A method for arranging an environmental control device that executes: The target parameters within the preset area are at least one of the heat dissipation amount, temperature, and air flow; Inputting the simulation results into a machine learning model and outputting the optimal position of the environmental control device Input the simulation results into a machine learning model and output the first optimal position of the environmental control device; Input the simulation results and user information into a machine learning model and output the second optimal position of the environmental control device, and / or input the simulation results and the operating parameters of the environmental control device into a machine learning model and output the third optimal position of the environmental control device; including; A method for arranging an environmental control device, characterized in that.

4. The computer Obtain the simulation results of the target parameters within a preset area; Calculate the optimal position of the environmental control device based on the simulation results; Arrange the environmental control device within the preset area based on the optimal position of the environmental control device; A method for arranging an environmental control device that executes: The target parameters within the preset area are at least one of the heat dissipation amount, temperature, and air flow; Arranging the environmental control device within the preset area based on the optimal position of the environmental control device Laying out a plurality of environmental control devices in sequence based on an interval matching the model number of the environmental control device; including; A method for arranging an environmental control device, characterized in that.

5. The computer Obtaining the simulation results of target parameters within a preset area; Calculating the optimal position of the environmental adjustment device based on the simulation results; Arranging the environmental adjustment device within the preset area based on the optimal position of the environmental adjustment device; A method for arranging an environmental adjustment device, comprising: The target parameters within the preset area are at least one of heat dissipation, temperature, and air flow; Arranging the environmental adjustment device within the preset area based on the optimal position of the environmental adjustment device includes: Calculating the number of arrangement areas of the environmental adjustment device and the number of the environmental adjustment devices per unit area based on the ventilation effect of the environmental adjustment device; including; A method for arranging an environmental adjustment device, characterized in that.

6. Obtaining the simulation results of the target parameters within the preset area includes: Obtaining environmental parameters and the position information of a plurality of areas and / or a plurality of position points within the preset area; Inputting the environmental parameters and the position information into a simulation model to obtain the simulation results of the target parameters within the preset area; including; The method for arranging an environmental adjustment device according to claim 1, characterized in that.

7. Calculating the optimal position of the environmental adjustment device based on the simulation results includes: Inputting the simulation results into a machine learning model and outputting the optimal position of the environmental adjustment device. The method for arranging an environmental adjustment device according to claim 1 or 2, characterized in that.

8. Calculating the optimal position of the environmental adjustment device based on the simulation results further includes: Cutting out a part corresponding to a preset height from the simulation results and using it as the simulation results input into the machine learning model. The method for arranging an environmental adjustment device according to claim 7, characterized in that.

9. The preset height is the installation height of the environmental adjustment device or the average height of the user. The method for arranging an environmental adjustment device according to claim 8, characterized in that.

10. The machine learning model is a support vector machine model or a convolutional neural network model. The method for arranging an environmental adjustment device according to claim 7, characterized in that.

11. The user information includes at least one of the user's location, movement trajectory, and clothing. The method for arranging an environment adjustment device according to claim 3, characterized in that.

12. Calculating the optimal position of the environment adjustment device based on the simulation result, as described above, Evaluating each simulation point in the simulation result, Sorting each simulation point according to the evaluation result, Identifying the optimal position of the environment adjustment device based on the evaluation results of the sorted simulation points, including. The method for arranging an environment adjustment device according to any one of claims 1 to 3, characterized in that.

13. The environment adjustment device is at least one of an air conditioner, an air purifier, a fresh air device, a humidifier, a disinfection device, a lighting device, and an acoustic device. The method for arranging an environment adjustment device according to any one of claims 1 to 5, characterized in that.

14. The air conditioner includes an indoor unit of an air conditioner and / or an outdoor unit of an air conditioner. The method for arranging an environment adjustment device according to claim 13, characterized in that.

15. Specifically, Inputting a building model or a two-dimensional drawing of scan modeling into the simulation model, or inputting a BIM model, Inputting environmental parameters into the simulation model, Inputting the position information of a plurality of regions and / or a plurality of position points into the simulation model, Simulating by the simulation model and outputting the simulation result, Calculating the optimal position of the environment adjustment device based on the simulation result, Arranging the environment adjustment device within the preset region based on the optimal position of the environment adjustment device, including. The method for arranging an environment adjustment device according to any one of claims 1 to 5, characterized in that.

16. Specifically, Automatically converting the drawing of civil engineering works into a BIM model based on software, Automatically arranging the space based on software, Setting the type and use of the building, Calculating the load of the room and forming a load table, Introducing the load table into a model selection table, Automatically selecting a model based on model selection software and automatically selecting the model number and quantity of the environment adjustment device, Inputting the BIM model into the simulation model, Inputting environmental parameters into the simulation model, Inputting position information of a plurality of regions and / or a plurality of position points into the simulation model, Performing a simulation by the simulation model and outputting a simulation result, Calculating an optimal position of the environmental adjustment device based on the simulation result, Arranging the environmental adjustment device within the preset region based on the optimal position of the environmental adjustment device, and A method for arranging an environmental adjustment device according to any one of claims 1 to 5, characterized by the above.

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