CN117874986A - Whole-process simulation system for dynamic calculation of intelligent wind system and implementation method - Google Patents
Whole-process simulation system for dynamic calculation of intelligent wind system and implementation method Download PDFInfo
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Abstract
The invention relates to the technical field of clean air conditioners, in particular to a dynamic computing system of a clean air conditioning system. The whole process simulation system for dynamic calculation of the intelligent wind system comprises a model display and operation module, a data storage and interaction server and a data calculation module, wherein the model display and operation module, the data calculation module and the data storage and interaction server are in data association and interactive connection. According to the invention, through the construction of the model display and operation module, the data calculation module and the data storage and interaction server and the data association and interaction of the modules, remote checking of field data, automatic calculation of wind system operation regulation and remote automatic regulation control after output of the demand regulation and control purposes are realized.
Description
Technical Field
The invention relates to the technical field of clean air conditioners, in particular to a dynamic computing system of a clean air conditioning system.
Background
The field of clean room engineering includes a variety of clean rooms, such as biopharmaceutical clean systems, electronic industry clean systems, and the like, each of which typically includes a plurality of clean rooms. The biopharmaceutical clean room often comprises a plurality of operation requirements such as a normal mode, a disinfection mode, a toxin expelling mode and the like, the switching of each mode is also the redistribution of the air quantity of a room, so that the air quantity balance of the room can still be ensured and the pressure difference gradient control level of a plurality of rooms can be maintained under different modes, therefore, the change of each mode is a brand-new adjustment for the clean air conditioning purification system, the air quantity, fresh air quantity and exhaust air quantity of each system are required to be reasonably adjusted, the parameters such as the air valve angles of a plurality of rooms are reasonably set, the pressure difference air quantity exchange condition among the plurality of rooms is considered, the adjustment accuracy and the rapidness of each parameter under each mode are determined, and the adjustment of the plurality of parameters in the field of the purification air conditioning system is not good at present, so that the switching process of the clean room under different modes is very tedious and troublesome, even in order to avoid the switching of the plurality of modes, the clean room is often operated in the normal mode for a long term during the production, and extremely serious energy consumption is caused.
On the other hand, the operation regulation mode of the existing clean factory air conditioning system has the defects that the regulation of system operation parameters is not intelligent enough, a worker is required to manually regulate parameters such as fan frequency, air valve opening and the like according to actual conditions, and the whole regulation process is long in time and high in difficulty; after a period of time, the operation parameters of the air conditioning system are changed simultaneously due to the change of the operation parameters of the resistance component (for example, the resistance of the high-efficiency filter is increased continuously along with the increase of the operation time of the system), so that workers are required to pay attention to the change of the operation parameters displayed by the data acquisition system in time, and perform corresponding control parameter adjustment, so that the system operation maintains the design working condition, but the manual adjustment is always delayed from the change of the system parameters, and the stability of the system operation is greatly influenced; in addition, because the inaccuracy of design parameters and the precision of manual adjustment are not high, the unstable room control parameters and the low precision are directly caused, and the energy waste is caused when the production is influenced. By means of manual regulation, regulation and control of an air conditioning system of a clean factory building are difficult to achieve, and design energy-saving potential of the system cannot be utilized.
The application provides a whole-process simulation method for intelligent automatic adjustment of a clean air conditioning system to assist automatic calculation adjustment of the clean air conditioning system. Remote control and automatic calculation and adjustment of the wind system on site are realized.
Disclosure of Invention
The invention provides a whole-process simulation system for dynamic calculation of a digital intelligent wind system and an implementation method thereof, and aims to assist in realizing automatic calculation and adjustment of a clean air conditioning system. In order to achieve the above purpose, the present invention adopts the following technical scheme:
the whole process simulation system for dynamic calculation of the intelligent wind system comprises a model display and operation module, a data storage and interaction server and a data calculation module, wherein the model display and operation module, the data calculation module and the data storage and interaction server are in data association and interactive connection.
Further, the model display and operation module is a BIM model built in an Autodesk Revit, and comprises a drawing heating and ventilation model containing annotation data, wherein the annotation data is stored in a data storage and interaction server and is associated with element data on the drawing heating and ventilation model.
Furthermore, the data calculation module calculates the room air volume under different fan frequencies and air valve opening degrees according to field data obtained from the field and related formulas of an air system, outputs proper fan frequency and air valve opening degree information, and sends the information to hardware equipment through a data storage and interaction server to realize field control and adjustment. The field data includes: fan frequency, air valve opening, room air volume, air system set point, etc.
The whole process simulation method for dynamic calculation of the intelligent wind system comprises the following steps:
a complete BIM model is built in an autodesk Revit,
further, the building process of the BIM model comprises the steps of importing a drawn heating and ventilation model, and carrying out data annotation on the drawn heating and ventilation model;
further, the step of drawing the data annotation of the heating and ventilation model in the step 1 is as follows:
1) The tuyere group types for drawing the heating and ventilation model are classified into the following categories: an air supply port, an air return port and an air outlet;
2) And (3) marking a fan: the new fan, the blower and the air return machine can only be considered as equipment by model identification, the functions cannot be distinguished, and name category distinction should be carried out when the model is named;
3) And (3) wind gap marking: the "mark" pattern in the identification data is: "Room name-send/return/exhaust port-number";
4) And (3) air valve marking: the "mark" pattern in the identification data is: room name-send/return/exhaust valve-number'
5) And (3) marking the air quantity of the pipe section: labeling as 'other flow' in the mechanical-flow of the air pipe, and setting a set value;
6) Marking of the door: the connection relation of each door, the "mark" style in the identification data is: "room name X-room name Y", and the room name with high design pressure is before (X, Y is a number);
7) Room marking: each room is marked with a name, the name in the identification data is marked with the name and the number of the room;
8) Room pressure value marking: each room design pressure value, identifying "notes" in the data, marking the room design pressure values;
9) The local resistance member name is marked.
2. Reading a current project according to a Revit API, and converting the model into three systems related to heating ventilation, wherein the three systems comprise a fresh air system, a return air system and an exhaust system;
further, the method comprises the following steps: filtering and collecting all elements related to heating and ventilation construction in the current document by using an element filtering collector in Revit, and respectively associating the elements related to heating and ventilation construction with a fresh air system, a return air system and an exhaust air system according to data types,
finding a ROOT node in each system, namely finding an element with an element type of OST_mechanical equipment (mechanical equipment data storage node), namely a fan, finding a child node below each ROOT node, and marking each node with some marks so that the child node is associated with the ROOT node;
in the process, the related elements of the heating ventilation construction are respectively associated with a fresh air system, a return air system and an exhaust air system according to data types, so that all the elements are systematically classified to form an element set under the system, and the purpose of associating the child nodes with the root nodes is to set connection relations of the classified elements.
3. Reading information of all rooms according to a root Revit API, and associating space elements of the rooms with room numbers;
specifically, an element filtering collector in Revit is utilized to filter and collect elements related to space in a current document, the elements are converted into spatial elements, information of each room can be obtained, names of each room and pressure of the room are obtained according to labeling information, all the elements are obtained, and a blast gate and a terminal are distributed to each room according to labeling.
4. And storing the associated element classification and arrangement to a server side, and storing the room information to the server side.
5. Update self impedance, update up and down Wen Zukang, the self impedance including elbow impedance, ductwork impedance, and damper impedance. The method for updating the context impedance comprises the following steps: the next node is looped from the root node if there are children, if there are all children to the current node, series/parallel computing context impedances to repeat this operation. I.e. an exhaustive calculation is performed for all impedance points for which an update should be calculated.
6. According to field data obtained from the field and related formulas of a wind system, calculating to obtain room air volumes under different fan frequencies and wind valve opening degrees, outputting proper fan frequency and wind valve opening degree information, and delivering to hardware equipment through a data storage and interaction server to realize field control and adjustment.
The technical scheme adopted by the invention comprises a model display and operation module, a data calculation module and a data storage and interaction server which is in data association and interactive connection with the modules. By using the technical scheme of the invention, a user can check the parameter information and the working state of each field element in real time in the model display and operation module, remote control of the field element can be realized, and a specific data processing method is built in the data calculation module, so that a complex heating and ventilation system can be rapidly calculated, and accurate wind balance and differential pressure gradient control parameters can be obtained. The whole-process simulation system for dynamic calculation of the intelligent wind system has the advantages of simplicity in operation, rapidness and accuracy.
Detailed Description
The technical scheme of the invention is further explained below by combining specific embodiments.
The whole process simulation system for dynamic calculation of the intelligent wind system comprises a model display and operation module, a data storage and interaction server and a data calculation module, wherein the model display and operation module, the data calculation module and the data storage and interaction server are in data association and interactive connection.
The model display and operation module is a BIM model built in an Autodesk Revit and comprises a drawing heating and ventilation model containing annotation data, wherein the annotation data are stored in a data storage and interaction server and are associated with element data on the drawing heating and ventilation model.
The data calculation module calculates the room air volume under different fan frequencies and air valve opening degrees according to field data obtained from the field and related formulas of an air system, outputs proper fan frequency and air valve opening degree information, and sends the information to hardware equipment through a data storage and interaction server to realize field control and adjustment. The field data includes: information such as fan frequency, opening of air valve, air volume of room, and setting information of room.
The data storage and interaction server is used for storing and interacting annotation data, calculation data and site data, and the data storage and interaction server further comprises an air valve database, a fan database, an air pipeline resistance database, a local resistance coefficient database and an air supply tail end database.
The data calculation module comprises a fan setting module, a wind valve setting module, a door gap setting module, an impedance updating module and a calculation module.
The fan setting module sets an AHU internal impedance value and an MAU internal impedance value, selects a corresponding fan in a fan database according to fan parameters and fan types required by on-site working conditions, and can display the air quantity and pressure head of the fan by clicking calculation after setting actual frequency and rated frequency for the fan, and graphically displays pressure head values under different air quantities.
The air valve setting module is used for setting a single air valve and setting an air valve relation, the single air valve is set to display the name and the maximum adjustable angle of the air valve after one air valve is selected on the drawing heating and ventilation model, and the sliding valve can be used for displaying the valve plate angle corresponding to the adjustment and the impedance value corresponding to the valve under different angles. And the air valve relation setting is to mark and correlate types of air valve names of different rooms, namely, the model of the field valve is matched and corresponds to the model of the valve in the database.
The door gap setting module inputs the unit gap width and the perimeter of the door according to the site construction condition and the design drawing, calculates the door gap area, and recommends to use a default value of 0.4 under the condition that no site test data exists.
The impedance updating module is used for displaying and calculating impedance values of an air supply system, an air exhaust system and an air return system of different pipelines in the model.
The air outlet display module is mainly used for displaying the tail ends of air supply, air return and air exhaust and the magnitude of the pipelines of the room.
The calculation module integrates the functions of impedance calculation, fan selection, air opening volume, room pressure calculation and the like, sets and calculates, and is used for calculating the room air volumes under different fan frequencies and air valve opening degrees according to field data obtained from the field and a related formula of an air system, and outputting proper fan frequency and air valve opening degree information.
The invention provides a realization method of a whole process simulation system for dynamic calculation of a digital intelligent wind system, which comprises the following steps:
a complete BIM model is built in an autodesk Revit,
further, the building process of the BIM model comprises the steps of importing a drawn heating and ventilation model, and carrying out data annotation on the drawn heating and ventilation model;
further, the step of drawing the data annotation of the heating and ventilation model according to the step 1) is as follows:
1) The tuyere group types for drawing the heating and ventilation model are classified into the following categories: an air supply port, an air return port and an air outlet;
2) And (3) marking a fan: the new fan, the blower and the air return machine are only considered as equipment and cannot be distinguished, so that the name classification is needed when the model is named;
3) And (3) wind gap marking: the "mark" pattern in the identification data is: "Room name-send/return/exhaust port-number";
4) And (3) air valve marking: the "mark" pattern in the identification data is: "room name-send/return/exhaust valve-number";
5) And (3) marking the air quantity of the pipe section: labeled "other flow" in ductwork machinery-flow;
6) Marking of the door: the connection relation of each door, the "mark" style in the identification data is: "room name 1-room name 2", and the room name with high design pressure is the front;
7) Room marking: each room is marked with a name, the name in the identification data is marked with the name and the number of the room;
8) Room pressure value marking: each room design pressure value, identifying "notes" in the data, marking the room design pressure values;
9) The local resistance member name is marked.
And the labeling result is stored in the data storage and interaction server and correspondingly displayed in the model display and operation module and the data calculation module.
2. Reading a current project according to a root Revit API, and converting the model into three systems related to heating ventilation, wherein the three systems comprise a fresh air system, a return air system and an exhaust system;
the transformation scheme is as follows: filtering and collecting all elements related to heating and ventilation construction in the current document by using an element filtering collector in Revit, and respectively associating the elements related to heating and ventilation construction with a fresh air system, a return air system and an exhaust air system according to data types,
finding a ROOT node in each system, namely finding an element with an element type of OST_mechanical equipment (mechanical equipment data storage node), namely a fan, finding a child node below each ROOT node, and marking each node with some marks so that the child node is associated with the ROOT node;
3. reading information of all rooms according to a root Revit API, and associating space elements of the rooms with room numbers;
specifically, an element filtering collector in Revit is utilized to filter and collect elements related to space in a current document, the elements are converted into spatial elements, information of each room can be obtained, names of each room and pressure of the room are obtained according to labeling information, all the elements are obtained, and a blast gate and a terminal are distributed to each room according to labeling.
4. And storing the parsed elements to a server side, and storing the room information to the server side.
5. Update self impedance, update up and down Wen Zukang, the self impedance including elbow impedance, ductwork impedance, and damper impedance. The method for updating the context impedance comprises the following steps: the next node is looped from the root node if there are children, if there are all children to the current node, series/parallel computing context impedances to repeat this operation.
6. According to field data obtained from the field and related formulas of a wind system, calculating to obtain room air volumes under different fan frequencies and wind valve opening degrees, outputting proper fan frequency and wind valve opening degree information, and delivering to hardware equipment through a data storage and interaction server to realize field control and adjustment.
The specific calculation method in the step 6 comprises the following steps: the air quantity balance adjustment of the clean air conditioning system is carried out, the frequency of the air blower, the angle of the air supply valve of the room and the actual air quantity of the room are output, after the air quantity balance adjustment of the clean air conditioning system is completed, the air quantity of the multiple rooms and the frequency of the air blower are maintained unchanged, the gradient adjustment of the pressure difference of the multiple rooms is carried out, and the frequency of the fresh air blower, the frequency of the exhaust fan, the angles of the return air valves of the rooms and the exhaust valves of the rooms and the actual pressure difference are output.
The air quantity balance adjustment of the clean air conditioning system comprises the following steps:
1) Import of system model
The system model comprises a fan model, a tail end air valve model, a pipe network model and a room model; calculating relevant air volumes under different working conditions and different fan frequencies by using a fan model; the calculation of the impedance of the whole pipe network system can be realized by utilizing the pipe network model; the air valve impedance calculation and the end air volume change calculation under different air valve angles can be realized by utilizing the end air valve model; the room model is utilized to obtain the related air supply quantity, air return quantity and air exhaust quantity, and then the calculation of the differential pressure air quantity of the room is realized;
2) Basic setting parameters
The system comprises an air supply system, an air return system and an exhaust system, wherein the angle of an initial air valve is equal to the required total air supply quantity, the required total air exhaust quantity and the required total fresh air quantity;
3) System air volume calculation
Carrying out overall calculation of the system according to the basic setting parameters and the corresponding fan parameters to obtain actual calculated total air supply quantity, actual calculated total fresh air quantity and actual calculated total air discharge quantity in the system;
4) System air volume adjustment
4.1 Blower frequency adjustment
If the actual total air supply quantity does not meet the convergence requirement, carrying out fan frequency adjustment, continuously updating the calculated output actual total air supply quantity, and if the actual total air supply quantity does not meet the convergence requirement, increasing or reducing the fan frequency until the convergence requirement is met;
4.2 Frequency adjustment of fresh air fan
If the actual total fresh air quantity does not meet the convergence requirement, carrying out fan frequency adjustment, continuously updating the calculated output actual total fresh air quantity, and if the actual total fresh air quantity does not meet the convergence requirement, increasing or reducing the frequency of the fresh air fan until the fresh air quantity meets the design requirement;
4.3 Frequency adjustment of exhaust fan
If the actual total air discharge quantity does not meet the convergence requirement, carrying out fan frequency adjustment, continuously updating the calculated output actual total air discharge quantity, and if the actual total air discharge quantity does not meet the convergence requirement, increasing or decreasing the frequency of the exhaust fan until the convergence requirement is met;
5) Size room partitioning
The influence of the room air quantity on the air quantity of surrounding rooms in the adjusting process is represented by parameters, and a specific calculation formula is as follows:
ΔR I : ratio of room air supply volume change to total design air volume
ΔQ S : when the opening of the room air valve is changed, the absolute value sum of all room air supply changes
ΔQ DS : total design air supply quantity
After calculation, a set value DeltaR is selected, if DeltaR I If the value of (a) is greater than DeltaR, then the room is large, if DeltaR I If the value of (2) is smaller than DeltaR, the room is small;
6) System overall computation
After dividing the big room and the small room, carrying out overall system calculation to obtain the actual air supply quantity of each room;
7) Air supply quantity regulation for small room
Inside the small room according to the room DeltaR I Sequencing from small to large, calculating the air quantity of the small rooms based on a given air valve angle value, obtaining the air quantity calculation of all the small rooms, and sequentially carrying out air quantity adjustment on the rooms needing air quantity adjustment from small to large;
8) Air supply quantity adjustment for large room
Inside a large room according to the room DeltaR I The values of the air quantity of the large rooms are sequenced from small to large, and the air quantity of the large rooms is adjusted from small to large in sequence according to the sequencing result;
9) Convergence judgment of air supply quantity of large and small air supply rooms
After the air supply quantity of the large room is regulated, calculating the whole air supply quantity of the air supply room, and if all the air supply quantity meets the convergence condition of each room, completing program regulation; if the room does not meet the condition, continuing to adjust the air supply quantity of the room until all rooms meet the convergence requirement;
10 Output of results
And after the air supply quantity of all rooms is regulated, outputting the frequency of the blower, the angle of the air supply valve of the room and the actual air supply quantity of the room.
The air quantity balance adjustment of the clean air conditioning system comprises the following steps: the multi-room differential pressure gradient adjustment comprises the following steps:
1) Basic parameter calculation
Before multi-room differential pressure gradient adjustment, the frequency of the blower and the angles of the air supply valves of each room are kept unchanged, the multi-room differential pressure adjustment is carried out by utilizing return air and exhaust air, the system integral differential pressure air volume calculation and single-room differential pressure air volume calculation are carried out by utilizing the design differential pressure of each room, the set door gap coefficient and the set flow coefficient, and the integral differential pressure air volume and the single-room differential pressure air volume obtained by calculation are used as design parameters to carry out the subsequent multi-room differential pressure gradient adjustment;
2) System overall computation
Carrying out overall calculation of the system to obtain the total fresh air quantity, the total exhaust air quantity and the actual differential pressure air quantity of each room;
3) System total pressure difference air quantity judgment
Judging whether the total fresh air quantity of the system-total air exhaust quantity of the system meets the convergence range of the integral calculation differential pressure air quantity or not by utilizing the total fresh air quantity of the system and the total air exhaust quantity of the system, if so, carrying out subsequent calculation, and if not, changing the frequency of the fresh air machine to enable the frequency of the fresh air machine to meet the condition;
4) Size room partitioning
The influence on the return air quantity and the exhaust air quantity of surrounding rooms when the opening degree of the air valve of each room is changed is recorded, and the rooms are divided into large rooms and small rooms according to the obtained change result, wherein the specific calculation formula is as follows:
dividing a return air size room:
ΔR II : ratio of room return air volume change to total design air volume
ΔQ R : when the opening of the room air valve is changed, the absolute value sum of all room return air volume changes
ΔQ DR : total design return air quantity
Dividing an exhaust room:
ΔR II : ratio of room exhaust volume change to total design volume
ΔQ E : when the opening of the room air valve is changed, the absolute value sum of all room air discharge changes
ΔQ DE : total design exhaust volume
After calculation, selecting the set value delta R of the return air room 2 If DeltaR II Is greater than DeltaR 2 If DeltaR is large room II Is smaller than DeltaR 2 The room is a small room; selecting a set value delta R of an exhaust room 3 If DeltaR III Is greater than DeltaR 3 If DeltaR is large room III Is smaller than DeltaR 3 The room is the small room.
The method comprises the steps of obtaining a large return air room, a small return air room, a large exhaust air room and a small exhaust air room by using a regular division rule of the return air room and the exhaust air room;
5) System overall computation
After the frequency adjustment of the fresh air blower and the exhaust fan and the division of the return air room and the exhaust air room are completed, carrying out integral calculation to obtain the actual differential pressure air quantity of each room for the subsequent differential pressure air quantity adjustment;
6) Pressure difference air quantity regulation for return air room
Performing differential pressure air volume adjustment of a small return air room, performing differential pressure air volume adjustment of a large return air room, traversing the differential pressure air volumes of all the return air rooms after the differential pressure air volume adjustment of the large return air room is completed, performing differential pressure air volume adjustment of an exhaust air room if convergence conditions are fully met, and continuing performing differential pressure air volume adjustment of the return air room if the differential pressure air volume requirements are not met by the return air room;
7) Pressure difference air volume adjustment for exhaust room
When the air return room is adjusted, the air discharge quantity of the room is adjusted for the room with the air discharge end;
8) Differential pressure air volume convergence judgment
After the differential pressure air quantity adjustment of the exhaust rooms is completed, performing differential pressure air quantity traversal calculation on all rooms, if the actual differential pressure air quantity of all rooms meets convergence conditions, ending the differential pressure gradient adjustment of multiple rooms, otherwise, continuing the differential pressure air quantity adjustment of the rooms, and firstly adjusting by using a return air valve and then adjusting by using an exhaust air valve;
9) Result output
And after the actual differential pressure and air quantity of all rooms are regulated, outputting a fresh air fan, the frequency of an exhaust fan, the angles of return air valves and exhaust valves of all rooms and the actual differential pressure.
In summary, the remote check of the field data, the automatic calculation of the running regulation of the wind system and the remote automatic regulation control after the output of the demand regulation purpose are realized through the construction of the model display and operation module, the data calculation module and the data storage and interaction server and the data association and interaction of the modules. The invention can realize the real-time monitoring of the site operation industrial and mining while realizing the remote control of the site elements of the wind system, and clearly and accurately display the site wind system. The method can accurately and rapidly complete the switching of the operation modes of the wind system in the aspect of realizing the control of the system, and effectively reduces the time cost, the regulation difficulty and the operation energy consumption.
Claims (9)
1. The whole process simulation system for dynamic calculation of the intelligent wind system comprises a model display and operation module, a data storage and interaction server and a data calculation module, wherein the model display and operation module, the data calculation module and the data storage and interaction server are in data association and interactive connection.
2. The full process simulation system for dynamic calculation of a digital intelligent wind system according to claim 1, wherein: the model display and operation module is a BIM model built in an Autodesk Revit and comprises a drawing heating and ventilation model containing annotation data, wherein the annotation data are stored in a data storage and interaction server and are associated with element data on the drawing heating and ventilation model.
3. The full process simulation system for dynamic calculation of a digital intelligent wind system according to claim 1, wherein: the data calculation module calculates the room air volume under different fan frequencies and air valve opening degrees according to field data obtained from the field and related formulas of an air system, outputs proper fan frequency and air valve opening degree information, and sends the information to hardware equipment through a data storage and interaction server to realize field control and adjustment.
4. A full process simulation system for dynamic computation of a digital intelligent wind system according to claim 3, wherein: the data calculation module comprises a fan setting module, a wind valve setting module, a door gap setting module, an impedance updating module and a calculation module.
5. The full process simulation system for dynamic calculation of a digital intelligent wind system according to claim 4, wherein: the fan setting module sets an AHU internal impedance value and an MAU internal impedance value, selects a corresponding fan in a fan database according to fan parameters required by on-site working conditions, and can display the air quantity and the pressure head of the fan by clicking calculation after setting actual frequency and rated frequency for the fan, and graphically displays pressure head values under different air quantities.
6. The full process simulation system for dynamic calculation of a digital intelligent wind system according to claim 4, wherein: the air valve setting module is used for setting a single air valve and setting an air valve relation, the single air valve is set to display the name and the maximum adjustable angle of the air valve after one air valve is selected on the drawing heating and ventilation model, the sliding valve can be used for displaying the corresponding valve plate angle during adjustment and the corresponding impedance value of the valve under different angles, and the air valve relation is set to mark and relate the types of different air valve names of each room.
7. The full process simulation system for dynamic calculation of a digital intelligent wind system according to claim 4, wherein: the door gap setting module inputs the unit gap width and circumference of the door according to the site construction condition and the design drawing, and calculates the door gap area.
8. The method for implementing the whole process simulation system for dynamically calculating the intelligent wind system according to claim 1, comprising the following steps:
1, establishing a complete BIM model in an Autodesk Revit, wherein the establishment process of the BIM model comprises the steps of importing a drawn heating and ventilation model, and carrying out data marking on the drawn heating and ventilation model;
2. reading a current project according to a Revit API, and converting the model into three systems related to heating ventilation, wherein the three systems comprise a fresh air system, a return air system and an exhaust system; the method comprises the following steps: filtering and collecting all elements related to heating and ventilation construction in the current document by using an element filtering collector in Revit, and respectively associating the elements related to heating and ventilation construction with a fresh air system, a return air system and an exhaust air system according to data types,
finding a ROOT node in each system, namely finding an element with an element type of OST_mechanical equipment (mechanical equipment data storage node), namely a fan, finding a child node below each ROOT node, and marking each node with some marks so that the child node is associated with the ROOT node;
3. reading information of all rooms according to a root Revit API, and associating space elements of the rooms with room numbers; the method comprises the steps of utilizing an element filtering collector in a Revit to filter and collect elements related to space in a current document, converting the elements into spatial elements, obtaining information of each room, obtaining names of each room and pressure of the rooms according to labeling information, obtaining all elements, and distributing air valves and terminals to each room according to labeling;
4. sorting and storing the associated elements to a server, and storing the room information to the server;
5. updating self impedance, updating upper and lower Wen Zukang, wherein the self impedance comprises elbow impedance, air duct impedance and air valve impedance, and the method for updating the context impedance comprises the following steps: cycling from the root node to whether the next node has child nodes or not, and if so, repeating the operation, taking all child nodes of the current node, and calculating up and down Wen Zukang in series/parallel;
6. according to field data obtained from the field and related formulas of a wind system, calculating to obtain room air volumes under different fan frequencies and wind valve opening degrees, outputting proper fan frequency and wind valve opening degree information, and delivering to hardware equipment through a data storage and interaction server to realize field control and adjustment.
9. The method for realizing the whole-process simulation system for dynamically calculating the intelligent wind system according to claim 8, wherein the method comprises the following steps of: the calculation method in the step 6 comprises the following steps: the air quantity balance adjustment of the clean air conditioning system is carried out, the frequency of the air blower, the angle of the air supply valve of the room and the actual air quantity of the room are output, after the air quantity balance adjustment of the clean air conditioning system is completed, the air quantity of the multiple rooms and the frequency of the air blower are maintained unchanged, the gradient adjustment of the pressure difference of the multiple rooms is carried out, and the frequency of the fresh air blower, the frequency of the exhaust fan, the angles of the return air valves of the rooms and the exhaust valves of the rooms and the actual pressure difference are output.
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