Fire pump room pipe optimization and operation monitoring method based on BIM technology

Abstract

The present invention discloses a fire pump room pipe system optimization and operation monitoring method based on BIM technology. The present invention relates to the technical field of pump room model optimization, and solves the problem of not analyzing the bending state and pressure performance state of the pipe body. The present invention targets the identified pipe to be optimized, confirms the head loss of the bent pipe to be optimized, and based on the overall head loss of the corresponding pipe to be optimized, identifies whether the corresponding pipe to be optimized is due to abnormal bending or there is an interlacing situation itself. Based on the identification result, different optimization processing methods are executed to optimize the pump room model. The pump room model can not only be monitored in real time, but also be fully optimized, so that the pump room model can obtain a better optimization processing effect.

Description

Technical Field

[0001] The present invention relates to the technical field of pump room model optimization, and in particular to a fire pump room pipe system optimization and operation monitoring method based on BIM technology. Background Art

[0002] Using BIM software, according to the design drawings and relevant specifications of the fire pump room and pipelines, a three-dimensional model containing detailed information such as fire pumps, various valves, pipelines (pipe diameter, length, material, etc.), and pipe fittings is constructed; for complex pipeline connections and equipment installation locations, high-precision modeling is performed to ensure a high degree of consistency between the model and the actual situation, and the technical parameters, performance indicators, installation requirements, maintenance manuals and other information of fire pumps and pipelines are associated with the corresponding components in the model. At the same time, the design parameters of the fire protection system, such as fire water consumption, pressure requirements, flow distribution and other information, are included to form a comprehensive information database.

[0003] The application with announcement number CN117236077B discloses a fire pump room pipe system optimization and operation monitoring method based on BIM technology: establish building structure and pipe system BIM models; perform conflict detection on the pipe system BIM model and the building structure BIM model; after model conflict occurs, analyze the error and eliminate the error, and then re-perform model conflict detection until the model conflict is eliminated; evaluate and optimize the pipe system BIM model, and then perform simulated operation analysis; arrange pressure, temperature sensors, and flow meter points in the pipe system BIM model; determine the pipe system BIM model and guide construction; use the pipe system BIM model for visual briefing; import the pipe system BIM model into the monitoring platform, associate the on-site pressure sensor, temperature sensor, and flow meter, and then check the working status of the on-site monitoring point on the computer side, and issue early warnings in time when the pressure, temperature, and flow monitoring data are abnormal.

[0004] When optimizing the pipe body of the pipe pump model, the relevant connections of the external pipe body are made to the pipe body to identify whether the application status of the corresponding pipe body meets the standards. However, in the actual processing and identification process, the corresponding pressure difference of the pipe body inside the pump room is too large. Since there are many bends in the design of the corresponding pipe body, the pressure value of the corresponding pipe body will become smaller, resulting in too low water supply pressure. Therefore, when optimizing the pump room, it is necessary to analyze the bending state and pressure performance state of the pipe body and perform related optimization. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides a fire pump room pipe system optimization and operation monitoring method based on BIM technology, which solves the problem of failure to analyze the bending state and pressure performance state of the pipe body.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A fire pump room pipe optimization and operation monitoring method based on BIM technology, comprising the following steps:

[0007] Step 1: Test run the constructed BIM pump room model, monitor the pressure data of a single pump and a single pipe in real time, identify whether the pressure data of a single pipe meets the standard, mark the single pipe that meets the standard as the pipe to be processed, and mark the single pipe that does not meet the standard as the pipe to be optimized. The specific method is as follows:

[0008] S11, make the corresponding single pump conduct a test run according to the preset standard parameters, the standard parameters are the set pressure data, identify the single pipe connected to the single pump, determine the water outlet associated with the single pipe, and monitor the pressure data of the water outlet in real time. The monitoring time is 20 seconds. Perform average processing on several groups of pressure data generated by the water outlet within 20 seconds to confirm the associated average value J i , where i represents different single tubes;

[0009] S12, based on the preset standard parameter Bz of a single pump, and then based on the associated mean value J of the single pipe associated with this single pump i , confirm its pressure difference data Yc i , its Yc i =Bz-J i , the pressure difference data Yc associated with the corresponding single pipe i Compare with the preset value Y1, when Yc i ≤Y1, the corresponding single tube is marked as the tube to be processed. i >Y1, the corresponding single tube is marked as the tube to be optimized;

[0010] S13, each single tube associated with each single pump is processed in the same manner as steps S11-S12, and the tubes to be processed or optimized are calibrated in sequence;

[0011] Step 2: Based on the pipe to be processed marked in the BIM pump room model, perform pressure debugging on the single pump associated with the pipe to be processed, and identify whether the pipe to be processed is a qualified pipe or a pipe to be optimized based on the specific pressure debugging process. The specific sub-steps are:

[0012] S21, causing the single pump associated with the pipe to be processed to gradually increase the pressure from the preset standard parameters, and the pressure increase trend per unit time is consistent, and the pressure increase stops when the maximum pressure value is reached, and the maximum pressure value is also the preset value, and a pressure increase curve associated with the single pump in the pressure increase stage is generated;

[0013] S22, confirming the pressure data of the pipe to be processed corresponding to the pressure increase time period, and generating a pressure data change curve of the pipe to be processed according to different pressure data corresponding to different moments;

[0014] S23, identifying the change trend k in unit time from the pressure increase curve, and formulating a set of trend intervals: [K-X1, K+X1], where X1 is a preset value;

[0015] S24, sequentially confirm the numerical trends between adjacent moments in the pressure data change curve, where the numerical trend = the pressure data of the next moment in the adjacent moments - the pressure data of the previous moment in the adjacent moments, and mark the numerical trends Qo confirmed in sequence, where o represents different adjacent moments, as the standard-compliant segments that satisfy Qo∈[K-X1, K+X1], and mark the non-standard-compliant segments that do not satisfy Qo∈[K-X1, K+X1];

[0016] S25, determine the total length Zs of several groups of qualified sections, then determine the total length Ss of the pressure data change curve, identify whether Zs and Ss meet: (Zs÷Ss)≥90%, if not, calibrate the pipe to be processed as a pipe to be optimized; if Zs and Ss meet (Zs÷Ss≥90%, calibrate the pipe to be processed as a qualified pipe, and no subsequent processing is required;

[0017] Step 3: Based on the pipes to be optimized calibrated in the BIM pump room model, confirm the bent pipes with bending angles in the pipes to be optimized, and then determine the total head loss of the corresponding pipes to be optimized based on the overall bending degree of the corresponding bent pipes, and identify whether the abnormal situation of the pipe to be optimized is a loss abnormality or an interlaced abnormality. The specific method is as follows:

[0018] S31, based on the flatness of the surface of the tube to be optimized, calibrate the part of the tube body whose flatness is not equal to 0 as a bent tube, and directly based on the bending angle W of the bent tube p and the inner diameter Z of the bent tube p , where p represents different bending tubes, and then determine the bending arc length L of the bending tube body p , its bending angle, internal diameter and bending arc length can be directly obtained from the BIM pump room model;

[0019] Based on the bending angle W of the bent tube p And the bending arc length L p Confirm the curvature radius of this bent tube and use R p =L p ÷W p Confirm its curvature radius R p , then based on the curvature radius R p and the inner diameter Z p Lock the local resistance coefficient X associated with this bend p , its X p =f(R p / Zp )Lock the local resistance coefficient X p , where f is a preset function;

[0020] S32, the local resistance coefficient X associated with the different bends in the pipe to be optimized p Confirm in sequence, and after confirmation, make the pipe to be optimized to transport water flow, limit a group of transport time, and the transport time is the preset time. Confirm the preset transport rate V of the single pump associated with the pipe to be optimized, and then confirm the water flow speed associated with the maximum bend of each bend pipe, and average the several groups of water flow speeds associated within this transport time to confirm the speed average V p ;

[0021] Using H p =X p ×[(VV p ) 2 ÷2g] Confirm the head loss value H of this bent pipe p , where g is the acceleration of gravity, and Xp is the local resistance coefficient confirmed for the corresponding bent pipe. Based on this, different bent pipes in the pipe to be optimized are processed in the same way to confirm the head loss value H of the corresponding bent pipe. p , the head loss value H of several bent pipes p Sum up and confirm the total head loss ZH of the pipe to be optimized;

[0022] S33, comparing the total head loss ZH of the pipe to be optimized with the preset value Y2, when ZH<Y2, it means that the pipe to be optimized has an interleaving abnormality, and an interleaving abnormality signal is generated; when ZH≥Y2, it means that the pipe to be optimized has a loss abnormality, and a loss abnormality signal is generated;

[0023] Step 4: For the pipe to be optimized with abnormal interleaving, the abnormal interleaving of the pipe to be optimized is adjusted by changing the height of the pump body; for the pipe to be optimized with abnormal loss, the bending angle of the internal bending pipe is optimized;

[0024] For the pipes to be optimized with interleaving anomalies:

[0025] Based on the confirmed staggered abnormal signal, the tube to be optimized associated with the signal is locked, and then the single pump associated with the tube to be optimized is locked, and the horizontal height of the single pump is adjusted upward. During the adjustment process, the same method as step 1 is used to identify whether the pressure data of the tube to be optimized meets the standard. When the height adjustment reaches the pressure data, stop, and keep the height of the single pump unchanged;

[0026] For pipes to be optimized with abnormal losses:

[0027] Based on the confirmed loss abnormality signal, the pipe to be optimized associated with this signal is locked, and the bending angle of the internal bending pipe of the pipe to be optimized is gradually reduced. A set of pressure debugging analysis processes is executed each time the unit angle value is reduced. This pressure debugging analysis process is consistent with the single pump pressure debugging processing process in step 2. This unit angle value is a preset value. It is identified whether the pipe to be optimized is a qualified pipe, and the bending angle of each bending rod is gradually reduced. When it is reduced to the point where the pipe to be optimized is a qualified pipe, it stops.

[0028] The present invention provides a fire pump room pipe system optimization and operation monitoring method based on BIM technology. Compared with the prior art, it has the following beneficial effects:

[0029] The present invention analyzes the pressure data in the pump room model and identifies the pressure data change of the corresponding pipe body to identify whether the corresponding pipe body needs to be optimized. In the identification process, the pressure trend change debugging process is performed to ensure that the corresponding pipe body is effectively identified and achieves a better identification processing effect.

[0030] For the identified pipes to be optimized, the head loss of the bent pipes is confirmed. Based on the overall head loss of the corresponding pipes to be optimized, it is identified whether the corresponding pipes to be optimized are due to abnormal bending or there is an interlacing situation. Based on the identification results, different optimization processing methods are executed to optimize the pump room model. The pump room model can not only be monitored in real time, but also be fully optimized, so that the pump room model can obtain better optimization processing effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a schematic diagram of the process of the present invention;

[0032] Figure 2 It is a schematic diagram for determining the tube to be processed and the tube to be optimized according to the present invention. DETAILED DESCRIPTION

[0033] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0034] See also Figure 1 This application provides a fire pump room pipe optimization and operation monitoring method based on BIM technology, including the following steps:

[0035] Step 1: Test run the constructed BIM pump room model, monitor the pressure data of a single pump and a single pipe in real time, identify whether the pressure data of a single pipe meets the standard, mark the single pipe that meets the standard as the pipe to be processed, and mark the single pipe that does not meet the standard as the pipe to be optimized. Specifically, during the operation of the pump inside the pump room model, the test run is generally carried out according to the preset standard parameters, mainly for pressure testing, and the corresponding monitoring data is the pressure data. The single pipe has a water outlet. In the actual processing process, the pressure of the water outlet should be basically consistent with the relevant pressure data provided by the corresponding pump body. If there are multiple bends and entanglements inside, it will cause a large deviation in the pressure data, so this type of pipe needs to be optimized;

[0036] The specific method to identify whether the pressure data of a single pipe meets the standard is:

[0037] S11, make the corresponding single pump conduct a test run according to the preset standard parameters, wherein the standard parameters are the pressure data set in advance, identify the single pipe connected to the single pump, and determine the water outlet associated with the single pipe (this water outlet has not yet been connected to other external water pipes, that is, the connector part set at the relevant position outside the pump room model for connecting to the external water pipe), and monitor the pressure data of the water outlet in real time, wherein the monitoring time is 20 seconds, perform average processing on several groups of pressure data generated by the water outlet within 20 seconds, and confirm the associated average value J i , where i represents different single tubes;

[0038] S12. Combination Figure 2 , based on the preset standard parameter Bz of a single pump (when the single pump is running, this standard parameter Bz remains unchanged), and then based on the associated mean value J of the single pipe associated with this single pump i , confirm its pressure difference data Yc i , its Yc i =Bz-J i , the pressure difference data Yc associated with the corresponding single pipe i Compare with the preset value Y1, when Yc i ≤Y1, the corresponding single tube is calibrated as the tube to be processed (it means that its pressure difference data is normal, but it is normal under normal conditions, and its sudden pressure increase has not been analyzed, so it is calibrated as the tube to be processed). i >Y1, the corresponding single tube is calibrated as the tube to be optimized (indicating that its pressure difference data is abnormal, so subsequent optimization processing is required);

[0039] S13, each single tube associated with each single pump is processed in the same manner as steps S11-S12, and the tubes to be processed or optimized are calibrated in sequence;

[0040] Step 2: Based on the pipe to be processed marked in the BIM pump room model, perform pressure debugging on the single pump associated with the pipe to be processed, and identify whether the pipe to be processed is a qualified pipe or a pipe to be optimized (that is, a non-qualified pipe) based on the specific pressure debugging process. The specific sub-steps of pressure debugging are as follows:

[0041] S21, the pressure of the single pump associated with the pipe to be processed is gradually increased from the preset standard parameters, and the pressure increase trend per unit time is consistent, and the pressure is increased to the maximum value, and the maximum pressure value is also the preset value, and a pressure increase curve associated with the single pump in the pressure increase stage is generated (the horizontal coordinate axis of the coordinate system associated with this curve is the timeline, and the vertical coordinate axis is the corresponding pressure data);

[0042] S22, confirming the pressure data of the pipe to be processed corresponding to the pressure increase time period, and generating a pressure data change curve of the pipe to be processed according to different pressure data corresponding to different moments;

[0043] S23. Identify the change trend k in unit time from the pressure rise curve (this change trend is confirmed by two sets of pressure data at different times, which is the difference between the pressure data at the latter time and the pressure data at the previous time), and formulate a set of trend intervals: [K-X1, K+X1], where X1 is a preset value, generally 0.02Mpa. Assuming that the rated outlet pressure of the fire pump is 1.0MPa, in the absence of bends, the pipeline pressure 10m away from the pump outlet may only drop a small amount (such as a drop of 0.01MPa due to the resistance loss along the way), but if there are multiple bends within this 10m, the pressure drop may increase due to local head loss, such as a drop of 0.05MPa or even more;

[0044] S24, sequentially confirm the numerical trends between adjacent moments in the pressure data change curve, where the numerical trend = the pressure data of the next moment in the adjacent moments - the pressure data of the previous moment in the adjacent moments, and mark the numerical trends Qo confirmed in sequence, where o represents different adjacent moments, as the standard-compliant segments that satisfy Qo∈[K-X1, K+X1], and mark the non-standard-compliant segments that do not satisfy Qo∈[K-X1, K+X1];

[0045] S25, determine the total length Zs of several groups of qualified sections, and then determine the total length Ss of the pressure data change curve, and identify whether Zs and Ss meet the following conditions: (Zs÷Ss)≥90% (90% is taken here because of the fluctuation of the value). If so, the pipe to be processed is calibrated as a qualified pipe, and no subsequent processing is required. If not, the pipe to be processed is calibrated as a pipe to be optimized (subsequent optimization processing is required, and the bending parts of such pipe bodies are optimized in association, and the bending degree of the pipe to be optimized is gradually reduced to improve the overall use effect of the corresponding pipe to be optimized);

[0046] Step 3: Based on the pipes to be optimized marked in the BIM pump room model, confirm the bent pipes with bending angles in the pipes to be optimized, and then determine the total head loss of the corresponding pipes to be optimized based on the overall bending degree of the corresponding bent pipes, and identify whether the abnormality of the pipe to be optimized is a loss abnormality or an interlaced abnormality. The so-called interlaced abnormality is that two water pipes are interlaced, and the pressure of the water pipe will be shared by another group of water pipes. Because the interlaced area is in a through state, due to errors in the drawing data, the water pipe area constructed by the model will be interlaced, resulting in abnormal pressure during actual operation. The specific method of identifying the abnormality of the pipe to be optimized is:

[0047] S31, based on the flatness of the surface of the tube to be optimized, the part of the tube body whose flatness is not equal to 0 is calibrated as a bent tube (under normal circumstances, the outer surface of the tube body is flat. When there is an uneven area, it is the specific area where the bent tube exists), and directly based on the bending angle W of the bent tube p and the inner diameter Z of the bent tube p , where p represents different bending tubes, and then determine the bending arc length L of the bending tube body p Specifically, the bending angle, inner diameter and bending arc length can be directly obtained from the corresponding model; based on the bending angle W of the bending tube p And the bending arc length L p Confirm the curvature radius of this bent tube and use R p =L p ÷W p Confirm its curvature radius R p , then based on the curvature radius R p and the inner diameter Z p Lock the local resistance coefficient X associated with this bend p , its X p =f(R p / Z p )Lock the local resistance coefficient X p , where f is a preset function, indicating a functional relationship, which is preset in advance by relevant personnel. f is a function derived based on fluid mechanics theory. Here, f can generally be expressed as: kx2 , then X p = k(R p / Z p ) 2 , when (R p / Z p ) = 1, its X p is about 0.9, when (R p / Z p ) = 2, its X p About 3.6;

[0048] S32, the local resistance coefficient X associated with the different bends in the pipe to be optimized p Confirm in sequence, and after confirmation, make the pipe to be optimized to transport water flow, limit a set of transport time, the transport time is the preset time, generally 10 seconds, confirm the preset transport rate V of the single pump associated with the pipe to be optimized, then confirm the water flow velocity associated with the maximum bend of each bend pipe, and average the several groups of water flow velocities associated within this transport time, and confirm the velocity average V p ;

[0049] Using H p =X p ×[(VV p ) 2 ÷2g] Confirm the head loss value H of this bent pipe p , where g is the acceleration of gravity, and Xp is the local resistance coefficient confirmed for the corresponding bent pipe. Based on this, different bent pipes in the pipe to be optimized are processed in the same way to confirm the head loss value H of the corresponding bent pipe. p , the head loss value H of several bent pipes p Sum up and confirm the total head loss ZH of the pipe to be optimized;

[0050] S33, comparing the total head loss ZH of the pipe to be optimized with a preset value Y2, wherein the specific value of Y2 is determined by the operator based on experience. When ZH<Y2, it means that the pipe to be optimized has an abnormal interleaving, and an abnormal interleaving signal is generated (other pipes intersect with the pipe to be optimized). When ZH≥Y2, it means that the pipe to be optimized has an abnormal loss, and an abnormal loss signal is generated (there are too many bending areas inside the pipe, resulting in excessive loss, which causes the outlet pressure to be too low).

[0051] Step 4: For the pipe to be optimized with abnormal interleaving, the abnormal interleaving of the pipe to be optimized is adjusted by changing the height of the pump body. For the pipe to be optimized with abnormal loss, the bending angle of the internal bending pipe is optimized. The specific adjustment method is as follows:

[0052] Based on the confirmed staggered abnormal signal, lock the pipe to be optimized associated with this signal, then lock the single pump associated with this pipe to be optimized, adjust the horizontal height of this single pump upward (based on the bottom surface of the model), and in the adjustment process, use the same method as step 1 to identify whether the pressure data of the pipe to be optimized meets the standard, stop when the height adjustment reaches the pressure data, and keep the height of this single pump unchanged (later when the pump room is established, it is necessary to build a raised pier under this single pump to increase the horizontal height of this single pump);

[0053] Based on the confirmed loss abnormal signal, the tube to be optimized associated with this signal is locked, and the bending angle of the internal bending tube of the tube to be optimized is gradually reduced. Each time a unit angle value is reduced, a set of pressure debugging analysis processes is executed. This pressure debugging analysis process is consistent with the single pump pressure debugging processing process in step 2. This unit angle value is a preset value, which is prepared in advance by relevant operators based on experience, and is generally 1°. It is used to identify whether the tube to be optimized is a qualified tube, and the bending angle of each bent rod is gradually reduced. When it is reduced to the point where the tube to be optimized is a qualified tube, stop. Stop, the optimization process of the entire pump room model is completed. Here we combine the example to understand: suppose there are five bends in a pipe to be optimized. First, reduce the bending angles of the five bent pipes by one unit angle. After the reduction, perform a set of pressure debugging processes on the pipe to be optimized to identify whether the pipe to be optimized is transformed into a standard pipe. If not, reduce the five bent pipes by another unit angle, and then identify whether the pipe to be optimized is a standard pipe. And so on, continue to reduce until the corresponding pipe to be optimized meets the standard, and then the comprehensive optimization process of the entire pump room pipe body can be completed.

[0054] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0055] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A fire pump room pipe optimization and operation monitoring method based on BIM technology, characterized in that: The following steps are involved: Step 1: Test run the constructed BIM pump room model, monitor the pressure data of a single pump and a single pipe in real time, identify whether the pressure data of a single pipe meets the standard, mark the single pipe that meets the standard as the pipe to be processed, and mark the single pipe that does not meet the standard as the pipe to be optimized. The specific method is as follows: S11, make the corresponding single pump conduct a test run according to the preset standard parameters, the standard parameters are the set pressure data, identify the single pipe connected to the single pump, determine the water outlet associated with the single pipe, and monitor the pressure data of the water outlet in real time. The monitoring time is 20 seconds. Perform average processing on several groups of pressure data generated by the water outlet within 20 seconds to confirm the associated average value J i , where i represents different single tubes; S12, based on the preset standard parameter Bz of a single pump, and then based on the associated mean value J of the single pipe associated with this single pump i , confirm its pressure difference data Yc i , its Yc i =Bz-J i , the pressure difference data Yc associated with the corresponding single pipe i Compare with the preset value Y1, when Yc i When ≤Y1, the corresponding single tube is marked as the tube to be processed; S13, each single tube associated with each single pump is processed in the same manner as steps S11-S12, and the tubes to be processed or optimized are calibrated in sequence; Step 2: Based on the pipe to be processed marked in the BIM pump room model, pressure debugging is performed on the single pump associated with the pipe to be processed, and based on the specific pressure debugging process, it is identified whether the pipe to be processed is a qualified pipe or a pipe to be optimized; Step 3: Based on the pipes to be optimized calibrated in the BIM pump room model, confirm the bent pipes with bending angles in the pipes to be optimized, and then determine the total head loss of the corresponding pipes to be optimized based on the overall bending degree of the corresponding bent pipes, and identify whether the abnormal situation of the pipe to be optimized is a loss abnormality or an interlaced abnormality. The specific method is as follows: S31, based on the flatness of the surface of the tube to be optimized, calibrate the part of the tube body whose flatness is not equal to 0 as a bent tube, and directly based on the bending angle W of the bent tube p and the inner diameter Z of the bent tube p , where p represents different bending tubes, and then determine the bending arc length L of the bending tube body p , its bending angle, internal diameter and bending arc length can be directly obtained from the BIM pump room model; Based on the bending angle W of the bent tube p And the bending arc length L p Confirm the curvature radius of this bent tube and use R p =L p ÷W p Confirm its curvature radius R p , then based on the curvature radius R p and the inner diameter Z p Lock the local resistance coefficient X associated with this bend p , its X p =f(R p / Z p )Lock the local resistance coefficient X p , where f is a preset function; S32, the local resistance coefficient X associated with the different bends in the pipe to be optimized p Confirm in sequence, and after confirmation, make the pipe to be optimized to transport water flow, limit a group of transport time, and the transport time is the preset time. Confirm the preset transport rate V of the single pump associated with the pipe to be optimized, and then confirm the water flow speed associated with the maximum bend of each bend pipe, and average the several groups of water flow speeds associated within this transport time to confirm the speed average V p ; Using H p =X p ×[(VV p ) 2 ÷2g] Confirm the head loss value H of this bent pipe p , where g is the acceleration of gravity, and Xp is the local resistance coefficient confirmed for the corresponding bent pipe. Based on this, different bent pipes in the pipe to be optimized are processed in the same way to confirm the head loss value H of the corresponding bent pipe. p , the head loss value H of several bent pipes p Sum up and confirm the total head loss ZH of the pipe to be optimized; S33, comparing the total head loss ZH of the pipe to be optimized with the preset value Y2, when ZH<Y2, it means that there is an interleaving abnormality in the pipe to be optimized, and generating an interleaving abnormality signal; Step 4: For the pipes to be optimized with abnormal interleaving, the abnormal interleaving of the pipes to be optimized is adjusted by changing the height of the pump body; for the pipes to be optimized with abnormal loss, the bending angle of the internal bending pipe is optimized.

2. The fire pump room pipe system optimization and operation monitoring method based on BIM technology according to claim 1 is characterized in that: In step S12, when Yc i When >Y1, the corresponding single tube is calibrated as the tube to be optimized.

3. The fire pump room pipe system optimization and operation monitoring method based on BIM technology according to claim 1 is characterized in that: In step 2, the specific sub-steps of performing pressure debugging on the single pump associated with the treatment pipe are: S21, causing the single pump associated with the pipe to be processed to gradually increase the pressure from the preset standard parameters, and the pressure increase trend per unit time is consistent, and the pressure increase stops when the maximum pressure value is reached, and the maximum pressure value is also the preset value, and a pressure increase curve associated with the single pump in the pressure increase stage is generated; S22, confirming the pressure data of the pipe to be processed corresponding to the pressure increase time period, and generating a pressure data change curve of the pipe to be processed according to different pressure data corresponding to different moments; S23, identifying the change trend k in unit time from the pressure increase curve, and formulating a set of trend intervals: [K-X1, K+X1], where X1 is a preset value; S24, sequentially confirm the numerical trends between adjacent moments in the pressure data change curve, where the numerical trend = the pressure data of the next moment in the adjacent moments - the pressure data of the previous moment in the adjacent moments, and mark the numerical trends Qo confirmed in sequence, where o represents different adjacent moments, as the standard-compliant segments that satisfy Qo∈[K-X1, K+X1], and mark the non-standard-compliant segments that do not satisfy Qo∈[K-X1, K+X1]; S25, determine the total length Zs of several groups of qualified sections, and then determine the total length Ss of the pressure data change curve, and identify whether Zs and Ss meet the following conditions: (Zs÷Ss)≥90%. If not, calibrate the pipe to be processed as a pipe to be optimized.

4. The fire pump room pipe system optimization and operation monitoring method based on BIM technology according to claim 3 is characterized in that: In step S25, if Zs and Ss satisfy (Zs÷Ss)≥90%, the tube to be processed is calibrated as a qualified tube and no subsequent processing is required.

5. The fire pump room pipe system optimization and operation monitoring method based on BIM technology according to claim 1 is characterized in that: In step S33, when ZH≥Y2, it means that the tube to be optimized has a loss abnormality, and a loss abnormality signal is generated.

6. The fire pump room pipe system optimization and operation monitoring method based on BIM technology according to claim 1 is characterized in that: In step 4, for the pipe to be optimized with interleaving anomaly: Based on the confirmed interlaced abnormal signal, the tube to be optimized associated with this signal is locked, and then the single pump associated with this tube to be optimized is locked, and the horizontal height of the single pump is adjusted upward. During the adjustment process, the same method as step 1 is used to identify whether the pressure data of the tube to be optimized meets the standard. When the height is adjusted to the pressure data meeting the standard, stop and keep the height of the single pump unchanged.

7. The fire pump room pipe system optimization and operation monitoring method based on BIM technology according to claim 1 is characterized in that: In step 4, for the pipe to be optimized with abnormal loss: Based on the confirmed loss abnormality signal, the pipe to be optimized associated with this signal is locked, and the bending angle of the internal bending pipe of the pipe to be optimized is gradually reduced. A set of pressure debugging analysis processes is executed each time the unit angle value is reduced. This pressure debugging analysis process is consistent with the single pump pressure debugging processing process in step 2. This unit angle value is a preset value. It is identified whether the pipe to be optimized is a qualified pipe, and the bending angle of each bending rod is gradually reduced. When it is reduced to the point where the pipe to be optimized is a qualified pipe, it stops.

Images