Transmission control device and method for BIM (Building Information Modeling) information

Abstract

A transmission control device and method for BIM (Building Information Modeling) information, comprising the following steps: analyzing the BIM information of a source building to initially obtain a sub-period cluster of the BIM information of the source building so as to obtain a plurality of information spaces according to the change of information in the sub-period cluster; obtaining clutter value information space and non-clutter value information space according to the difference of information variation between the information spaces, and obtaining the importance of each clutter value information space through the difference of real clutter value levels between the clutter value information space and the non-clutter value information space; and performing clutter value removal on the source building BIM information through a Wiener filtering method according to the obtained importance degree. According to the method, the building BIM information with a plurality of information sources can be distinguished, so that the clutter removal value of the source building BIM information is more complete, and the effective building BIM information contained in the source building BIM information can be clearly identified.

Description

Technical Field

[0001] The present invention belongs to the technical field of BIM information transmission, and in particular relates to a transmission control device and method for building BIM information. Background Art

[0002] In the monitoring of building BIM information, a building monitoring system based on a BIM operation and maintenance device is often used, as mentioned in the prior art solution with patent publication number "CN205450707U", which is a sensor group arranged in the building. The sensor group is communicatively connected to the BIM operation and maintenance controller. The sensor group is used to sample the building BIM information and transmit it to the BIM operation and maintenance controller for operation and maintenance control.

[0003] In actual application, the communication connection between the sensor group and the BIM operation and maintenance controller has been improved to wireless communication connection. In addition, in order to achieve the purpose of backing up the building BIM information, the BIM operation and maintenance controller is often connected to the wireless communication module. The BIM operation and maintenance controller is connected to the backup terminal in the wireless network via the wireless communication module. In this way, the BIM operation and maintenance controller can transmit the building BIM information to the backup terminal for backup via the wireless communication module.

[0004] The sensor group uses wireless communication to transmit the building BIM information to the BIM operation and maintenance controller, which often generates noise values ​​due to external electromagnetic wave disturbance. Therefore, before the building BIM information operation and maintenance control and transmission to the backup terminal for backup, it is necessary to perform information sorting to remove the noise value. At present, a commonly used information sorting method for removing the noise value is the Wiener filtering method. The Wiener filtering method performs processing on the frequency domain of the building BIM information, and removes the frequency domain of the noise value through the building BIM information to achieve the function of removing the noise value. In the current Wiener filtering method, the noise domain is often obtained by sampling when the sensor group is not working, that is, a noise area containing only noise values ​​is selected in the building BIM information as the noise domain. However, the noise value is random, that is, the frequency domain of the noise value is not constant, and often changes with the change of time point. In short, the current method of performing noise domain evaluation often causes the evaluated noise domain to be incompatible with the real noise domain, which is not conducive to the achievement of the noise value removal function or the loss of part of the real building BIM information.

[0005] The current sampling method when the sensor group is not working is not suitable for the situation where the representation of the noise value is similar to the representation of the actual building BIM information. In this case, this method is not suitable for evaluating the noise domain. In addition, the current sampling method when the sensor group is not working often has a constant noise domain. Obtaining the noise domain through a constant importance is not suitable for dealing with the randomness of the noise value, so the importance must be actively adjusted according to the changes in the building BIM information. Summary of the invention

[0006] In order to solve the defects in the prior art, the present invention proposes a transmission control device and method for building BIM information. By performing analysis on the source building BIM information, the sub-period clusters of the source building BIM information are first obtained, and a number of information spaces are obtained according to the changes in information in the sub-period clusters; then, the noise value information space and the non-noise value information space are obtained according to the difference in information changes between the information spaces, and then the importance of each noise value information space is obtained through the difference in the real noise value level between the noise value information space and the non-noise value information space, and the source building BIM information is de-noised according to the obtained importance through the Wiener filtering method. The present invention can distinguish the building BIM information with several information sources, so that the de-noising of the source building BIM information is more complete, and the valid building BIM information contained in the source building BIM information can be clearly identified.

[0007] The present invention utilizes the following technical solutions.

[0008] A transmission control method for building BIM information, comprising:

[0009] The sensor group samples the building BIM information and transmits it to the BIM operation and maintenance controller;

[0010] The BIM operation and maintenance controller receives the building BIM information to perform sorting, and transmits the sorted building BIM information to the backup terminal for backup;

[0011] The method of receiving building BIM information for sorting by a BIM operation and maintenance controller and transmitting the sorted building BIM information to a backup terminal includes:

[0012] Step 1: Receive the building BIM information sampled by the sensor group and perform pre-processing on the acquired building BIM information;

[0013] Step 2: Clustering the source building BIM information to obtain several information spaces of the building BIM information of the reference sub-period cluster;

[0014] Step 3: Calculate the real clutter value level in the information space and identify the clutter value cluster, which is the clutter value space;

[0015] Step 4: Obtain the importance of each clutter value information space, thereby obtaining the final importance of each information space;

[0016] Step 5: Perform noise elimination on the source building BIM information.

[0017] Preferably, in step 1, the method for performing pre-processing on the acquired building BIM information includes: performing completion processing on the acquired building BIM information, the completion processing using a random forest interpolation method to complete the building BIM information; and defining the processed building BIM information as source building BIM information.

[0018] Preferably, step 2 specifically includes:

[0019] Initially, the obtained source building BIM information is divided into sub-period clusters. The duration value obtained by subtracting the sampling time of the last sampled source building BIM information in each sub-period cluster from the sampling time of the first sampled source building BIM information in the sub-period cluster is 0.04 microseconds. When the duration value obtained by subtracting the sampling time of the last sampled source building BIM information in the last cut sub-period cluster from the sampling time of the first sampled source building BIM information in the sub-period cluster is less than 0.04 microseconds, the sub-period cluster is still regarded as a sub-period cluster, so as to obtain several sub-period clusters, and define any sub-period cluster as the building BIM information of the benchmark sub-period cluster. Then, the building BIM information of the benchmark sub-period cluster is subjected to slow variation processing using the Blackman window.

[0020] Preferably, step 2 specifically further includes:

[0021] In the building BIM information of the reference sub-period cluster, all peak-valley value points in the building BIM information of the reference sub-period cluster are first obtained, and the peak-valley value points include peak values ​​and valley values; the peak-valley value points are arranged in the order of their sampling time from first to last, and the peak-valley value queue 1 is obtained. Then, in the peak-valley value queue 1, the time interval between the sampling time of the first information point and the sampling time of the second information point is defined as Δu 1 , the time interval between the sampling time of the second information point and the third information point is defined as Δu 2 Then, the time interval Δu between the sampling times of all adjacent information points in the peak-valley value queue 1 is obtained. p , where {1,2,...,p} represents the sequence code. Then, the sequence code is regarded as the value on the X-axis and the time interval as the value on the Y-axis to construct a Cartesian system.

[0022] Preferably, step 2 specifically further includes:

[0023] Use the RANSAC method to perform regression on the information points in the Cartesian system to obtain the regression line equation. The equation of the regression line is defined as y = g(x). and The operation of The value of is 0 and The information points whose values ​​are not 0 contain several information points, which are defined as reference information points. If the time interval between the sampling moments of a pair of consecutive reference information points is less than R = 0.001 microseconds, the pair of information points are classified into the same information space, and then all the reference information points are cut to obtain several information spaces.

[0024] Preferably, step 3 specifically includes: defining an arbitrary information space as a reference information space, and the operation equation of the real clutter value level in the reference information space is:

[0025]

[0026] In the equation, represents the true clutter value level of the reference information space, [u 1 ,u 2 ] represents the sampling time range corresponding to the reference information space, u 1 Represents the first sampling time in the sampling time range, u 2 represents the last sampling time in the sampling time range; G(x) represents the regression line equation of the source building BIM information, g(x) represents the regression line equation of the information points in the constructed Cartesian system, Represents the standard deviation of the information points of the regression line equation g(x) within the sampling time range, Represents the use of Z-score method to Implement standardization.

[0027] Preferably, step 3 specifically also includes: based on the obtained real clutter value level of the reference information space, pre-defining a critical value U1=0.78, when the real clutter value level is higher than U1, defining the corresponding information space as a clutter value information space; when the real clutter value level is not higher than U1, defining the corresponding information space as a non-clutter value information space.

[0028] Preferably, step 4 specifically includes: the operation equation of the importance of the kth clutter value information space is:

[0029]

[0030] In the equation, r k represents the importance of the k-th clutter value information space, represents the real clutter value level of the kth clutter value information space, represents the true clutter value level of the jth clutter value information space, EUX(k,j) represents the approximation between the kth clutter value information space and the jth clutter value information space, represents the true clutter value level of the u-th non-clutter value information space, P represents the number of clutter value information spaces, N represents the number of non-clutter value intervals, and e represents the Euler number.

[0031] Preferably, step 4 specifically further comprises: performing standardization on the importance of each information space according to the importance of all clutter value information spaces to obtain the final importance of each information space, and the calculation equation thereof is:

[0032]

[0033] In the equation, r' k represents the final importance of the kth clutter value information space, r k represents the importance of the kth clutter value information space, and P represents the number of clutter value information spaces.

[0034] Preferably, step 5 specifically includes: performing a wavelet transform method on each clutter value information space to obtain a corresponding frequency domain, performing multiplication on each information point in the frequency domain according to the final importance of each clutter value information space obtained, and the set formed by the multiplied values ​​is the clutter domain of the corresponding sub-time period cluster of the clutter value information space;

[0035] According to the obtained clutter domain of each sub-time period cluster, the source building BIM information is then subjected to clutter removal through the Wiener filtering method to obtain the building BIM information after clutter removal. The building BIM information after clutter removal is the sorted building BIM information.

[0036] A transmission control device for building BIM information, comprising:

[0037] A sensor group is installed in the building, the sensor group is connected to the BIM operation and maintenance controller by wireless communication, and the BIM operation and maintenance controller is also connected to the backup terminal by wireless communication, and the sensor group is used to sample the building BIM information and transmit it to the BIM operation and maintenance controller;

[0038] The BIM operation and maintenance controller is used to collect the building BIM information for sorting, and transmit the sorted building BIM information to the backup terminal for backup;

[0039] The modules running on the BIM operation and maintenance controller include:

[0040] A pre-processing module, which is used to receive the building BIM information sampled by the sensor group and perform pre-processing on the acquired building BIM information;

[0041] A clustering module is used to perform clustering on the source building BIM information, so as to obtain several information spaces of the building BIM information of the reference sub-period cluster;

[0042] A calculation module, which is used to calculate the real clutter value level in the information space and identify the clutter value cluster, which is the clutter value space;

[0043] An importance module, which is used to obtain the importance of each clutter value information space, thereby obtaining the final importance of each information space;

[0044] The clutter removal module is used to remove clutter from the source building BIM information.

[0045] The beneficial effects of the present invention are that, compared with the prior art, the technical effects of the present invention include:

[0046] When the building BIM information is subjected to the denoising by the Wiener filter method, since the building BIM information contains different information sources, the current Wiener filter method is inaccurate in the denoising by the denoising in the denoising domain. Therefore, the present invention performs analysis on the source building BIM information, first obtains the sub-period cluster of the source building BIM information, and obtains several information spaces according to the change of information in the sub-period cluster; then obtains the denoising information space and the non-denoising information space according to the difference of the information change between the information spaces, and then obtains the importance of each denoising information space through the difference of the real denoising level between the denoising information space and the non-denoising information space, and then performs the denoising by the Wiener filter method on the source building BIM information according to the obtained importance. The present invention can distinguish the building BIM information with several information sources, so as to make the denoising of the source building BIM information more complete, and can clearly identify the valid building BIM information contained in the source building BIM information. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 It is a flow chart of the transmission control method for building BIM information described in the present invention;

[0048] Figure 2 It is a partial structural diagram of the transmission control device for building BIM information described in the present invention. DETAILED DESCRIPTION

[0049] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely expressed in combination with the drawings in the embodiments of the present invention. The embodiments expressed in this application are only part of the embodiments of the present invention, not all of them. According to the spirit of the present invention, other embodiments obtained by ordinary technicians in this field without creative work are all within the protection scope of the present invention.

[0050] like Figure 1 As shown, a transmission control method for building BIM information according to the present invention comprises:

[0051] The sensor group samples the building BIM information and transmits it to the BIM operation and maintenance controller; the sensor group contains a wireless temperature sensor, a wireless carbon monoxide concentration sensor, a wireless methane sensor and a wireless oxygen concentration sensor, and the wireless temperature sensor, the wireless carbon monoxide concentration sensor, the wireless methane sensor and the wireless oxygen concentration sensor are all wirelessly connected to the BIM operation and maintenance controller, and the architecture of the wireless communication connection is: the BIM operation and maintenance controller is connected to the wireless communication module 1, and the BIM operation and maintenance controller is wirelessly connected to each sensor in the sensor group through the wireless communication module, and the wireless communication module 1 can be a Bluetooth module, and the wireless temperature sensor, the wireless carbon monoxide concentration sensor, the wireless methane sensor and the wireless oxygen concentration sensor are all equipped with a Bluetooth module that is Bluetooth-connected to the wireless communication module 1, and the value sampled by the wireless temperature sensor, the wireless carbon monoxide concentration sensor, the wireless methane sensor or the wireless oxygen concentration sensor is the building BIM information. The backup terminal can be a computer, and the BIM operation and maintenance controller (which can be a single-chip microcomputer or a PLC) is also wirelessly connected to the backup terminal. The structure is: the BIM operation and maintenance controller is also connected to the wireless communication module 2, and the BIM operation and maintenance controller is wirelessly connected to the backup terminal in the wireless network via the wireless communication module 2. The wireless communication module 2 can be a 4G module, and the wireless network can be a 4G network.

[0052] The BIM operation and maintenance controller collects building BIM information to perform sorting, and performs operation and maintenance control on the sorted building BIM information and transmits it to the backup terminal for backup; the operation and maintenance control method can be the working process mentioned in the prior art solution with patent publication number "CN205450707U".

[0053] The method of collecting building BIM information for sorting by a BIM operation and maintenance controller, and performing operation and maintenance control on the sorted building BIM information and transmitting it to a backup terminal, is run on the BIM operation and maintenance controller, and includes:

[0054] Step 1: Receive the building BIM information sampled by the sensor group and perform pre-processing on the acquired building BIM information;

[0055] In a preferred but non-restrictive embodiment of the present invention, in step 1, the present application is to perform noise value removal processing on the building BIM information, so it is necessary to collect the building BIM information sampled by the sensor group; the sensor group samples the building BIM information to be processed, and transmits the building BIM information to the BIM operation and maintenance controller, and then performs a pre-processing method on the obtained building BIM information, including: performing a completion processing on the obtained building BIM information, the completion processing uses a random forest interpolation method to complete the building BIM information; and defines the processed building BIM information as the source building BIM information.

[0056] Step 2: Clustering the source building BIM information to obtain several information spaces of the building BIM information of the reference sub-period cluster;

[0057] In a preferred but non-limiting embodiment of the present invention, when the source building BIM information contains source building BIM information transmitted from different information sources, the information attributes formed by the source building BIM information transmitted from different information sources are different; and the information attributes of the source building BIM information sampled by the same sensor are similar, so the present application distinguishes the clutter value clusters by the dissimilarity and similarity, so as to achieve the evaluation of the active clutter domain, and step 2 specifically includes:

[0058] Initially, the obtained source building BIM information is divided into sub-period clusters. The duration value obtained by subtracting the sampling time of the last sampled source building BIM information in each sub-period cluster from the sampling time of the first sampled source building BIM information in the sub-period cluster is 0.04 microseconds. When the duration value obtained by subtracting the sampling time of the last sampled source building BIM information in the sub-period cluster obtained by the last cut from the sampling time of the first sampled source building BIM information in the sub-period cluster is less than 0.04 microseconds, the sub-period cluster is still regarded as a sub-period cluster to obtain several sub-period clusters, and a random sub-period cluster is defined as the building BIM information of the benchmark sub-period cluster. Then, the building BIM information of the benchmark sub-period cluster is subjected to slow variation processing using the Blackman window to reduce the adverse effects of frequency domain loss.

[0059] Due to the differences among various information sources, the attributes of the source building BIM information transmitted by each information source are unique to each of them, including the objects, values ​​and other attributes of the source building BIM information. Different information sources have different system architectures and transmission intensities, which will cause different frequency arrangements when transmitting building BIM information, that is, the noise value and the building BIM information to be identified have different frequencies. Therefore, in order to distinguish the information clusters of the noise value, it is necessary to perform clustering processing on the information clusters within the sub-time period cluster, and cluster the information clusters with different frequencies.

[0060] In a preferred but non-limiting embodiment of the present invention, step 2 specifically further comprises:

[0061] In the building BIM information of the reference sub-period cluster, all peak-valley value points in the building BIM information of the reference sub-period cluster are first obtained, and the peak-valley value points include peak values ​​(peak values ​​are higher than the values ​​of the two consecutive building BIM information) and valley values ​​(valley values ​​are lower than the values ​​of the two consecutive building BIM information); the peak-valley value points are arranged in the order of their sampling time from first to last to obtain the peak-valley value queue 1, and then in the peak-valley value queue 1, the time interval between the sampling time of the first information point and the sampling time of the second information point is defined as Δu1 , the time interval between the sampling time of the second information point and the third information point is defined as Δu 2 Then, the time interval Δu between the sampling times of all adjacent information points in the peak-valley value queue 1 is obtained. p , where {1,2,...,p} represents the sequence code. Then, the sequence code is regarded as the value on the X-axis and the time interval as the value on the Y-axis to construct a Cartesian system.

[0062] Just as the value u on the X-axis represents the sequence code, and the value hj on the Y-axis represents the time interval, if there is a cluster of very flat building BIM information (no fluctuation), the time interval between its adjacent peak and valley points is very flat, which means that the frequency of the building BIM information in the time interval is very close, which is often due to the fact that they are the building BIM information sampled from the same sensor; and the information cluster with fluctuations, whose time interval changes continuously, means that its frequency change is very complex, which is often due to the fact that the building BIM information to be identified is affected by noise (the time when other information sources transmit information); This causes the building BIM information to overlap with each other in the time domain and frequency. Such superposition and disturbance will cause frequency changes, making the frequency changes very complicated. If there is another cluster whose time interval is smooth and slightly lower than the time interval of the initial cluster, it means that the building BIM information in this time interval often comes from the building BIM information transmitted by another information source, and the frequency of the building BIM information transmitted by this information source is higher than the frequency of the initial cluster of BIM information. The information source is often the disturbance of the external electromagnetic field, and the disturbance will also cause information to be transmitted to the BIM operation and maintenance controller.

[0063] In a preferred but non-limiting embodiment of the present invention, step 2 specifically further comprises:

[0064] To accurately find the clutter value cluster, the time segment is cut according to the change of the regression line in the constructed Cartesian system: First, the RANSAC method is used to perform regression on the information points in the Cartesian system to obtain the regression line equation, and the equation of the regression line is defined as y=g(x); and The operation of The value of is 0 and The information points whose values ​​are not 0 contain several information points, which are defined as reference information points. If the time interval between the sampling moments of a pair of consecutive reference information points is less than R = 0.001 microseconds, the pair of adjacent reference information points are identified as points of information change in the same cluster, and the pair of information points are classified into the same information space. Then, all reference information points are cut to obtain several information spaces.

[0065] Thus, several information spaces of building BIM information of the benchmark sub-period clusters are obtained.

[0066] Step 3: Calculate the real clutter value level in the information space and identify the clutter value cluster, which is the clutter value space;

[0067] After clustering the building BIM information of the reference sub-period cluster, the information arrangement in each information space is very similar. Therefore, the corresponding time period of each cluster corresponds to one of the following conditions: (1) real building BIM information; (2) only clutter value; (3) both clutter value and building BIM information to be identified; (4) neither clutter value nor building BIM information to be identified. The attributes of the above conditions are:

[0068] (1) In this situation, there is only the building BIM information to be identified during the time period, that is, there is only one sensor transmitting the building BIM information. The attributes of the building BIM information are very similar, so the frequency changes during the time period are very similar, that is, the time intervals between adjacent peak and valley value points are the same;

[0069] (2) When there are other information sources (sensors are also information sources), that is, when there are information sources that form noise values, the information composition is very complex, so the frequency changes in the time period are very complex, that is, not close. In addition, because the information source of the noise value is usually not close to the information transmission channel between the sensor and the BIM operation and maintenance controller, the amplitude is not large;

[0070] (3) Both the clutter value and the building BIM information to be identified exist. In this case, the information composition is also very complex. However, because the two together form the building BIM information, the amplitudes of the two will be superimposed on each other to form an overall amplitude, that is, the amplitude is not small;

[0071] (4) There is no information source generating information, so its amplitude is 0, and therefore the period of this situation is removed and no processing is allowed.

[0072] In a preferred but non-limiting embodiment of the present invention, after removing the condition (4), the real clutter value level of each information space can be obtained by using the similarity operation of the amplitude value and frequency change of the information point in the building BIM information of the reference sub-period cluster. The lower the amplitude, the lower the frequency, and thus the higher the real clutter value level. Step 3 specifically includes: defining an arbitrary information space as a reference information space, and the calculation equation of the real clutter value level in the reference information space is:

[0073]

[0074] In the equation, represents the true clutter value level of the reference information space, [u 1 ,u 2 ] represents the sampling time range corresponding to the reference information space, u1 Represents the first sampling time in the sampling time range, u 2 represents the last sampling time in the sampling time range; G(x) represents the regression line equation of the source building BIM information (the regression line equation is the regression line equation obtained by using the RANSAC method with the source building BIM information as the value of the Y axis and the sampling time of the source building BIM information as the value of the X axis), g(x) represents the regression line equation of the information point in the constructed Cartesian system, Represents the standard deviation of the information points of the regression line equation g(x) within the sampling time range, Represents the use of Z-score method to Implement standardization.

[0075] and Represents the regression line of the source building BIM information within the sampling time range [u 1 ,u 2 ] and the size of the area surrounded by the X axis. Since the BIM information of the source building obtained is higher than 0, It is also higher than 0; it represents the amplitude response of the source building BIM information. The lower the value, the lower the amplitude response of the source building BIM information, so the interference level of the clutter value is lower, and the actual clutter value level is lower. It represents the regression line equation g(x) in the sampling time range [u 1 ,u 2 ] also represents the level of source building BIM information. The higher the value, the higher the level of source building BIM information, and the lower the level of real clutter value. Represents the regression line in the sampling time range [u 1 ,u 2 ] The standard deviation of the information points in . The standard deviation represents the fluctuation level of the source building BIM information. The higher the standard deviation, the lower the fluctuation level of the source building BIM information, so the higher the level of influence of the noise value.

[0076] In a preferred but non-limiting embodiment of the present invention, step 3 specifically further includes: based on the actual clutter value level of the obtained reference information space, pre-defining a critical value U1=0.78; when the actual clutter value level is higher than U1, it means that the reference information space is not affected by the clutter value to a low level, and the corresponding information space is defined as the clutter value information space; when the actual clutter value level is not higher than U1, it means that the reference information space is not affected by the clutter value to a large level, and the corresponding information space is defined as the non-clutter value information space.

[0077] Thus, the clutter value information space and the non-clutter value information space are obtained.

[0078] Step 4: Obtain the importance of each clutter value information space, thereby obtaining the final importance of each information space;

[0079] In a preferred but non-restrictive embodiment of the present invention, step 4 specifically includes: according to the real clutter value level of each benchmark information space obtained by calculation, the importance of the benchmark information space is obtained by using the similarity between the benchmark information spaces and the divergence between the benchmark information spaces, so that during the execution of the clutter domain construction, the mean is derived in combination with the criticality to obtain the clutter domain, that is, to achieve the evaluation of the active clutter domain.

[0080] In some reference information spaces, the amplitude variation is quite different, and the proximity between the adjacent time intervals of the peak and valley value points is insufficient, so the similarity between the reference information spaces is not great. In addition, since the real clutter value level is calculated based on the amplitude variation and the adjacent time interval, the spacing amount of the real clutter value level can be used to characterize the similarity between some reference information spaces. The lower the spacing amount, the higher the similarity, and thus the higher its importance. Similarly, the difference between the clutter value cluster and other information clusters can also be characterized by the spacing amount of the real clutter value level. The higher the spacing amount, the higher the difference, and thus the higher its importance. The importance calculation equation of the kth clutter value information space is:

[0081]

[0082] In the equation, r k represents the importance of the k-th clutter value information space, represents the real clutter value level of the kth clutter value information space, represents the true clutter value level of the jth clutter value information space, EUX(k,j) represents the approximation between the kth clutter value information space and the jth clutter value information space, represents the true clutter value level of the u-th non-clutter value information space, P represents the number of clutter value information spaces, N represents the number of non-clutter value intervals, and e represents the Euler number.

[0083] and Represents the difference between the kth clutter value information space and the jth clutter value information space. The higher the difference level, the higher the importance. Represents the average of the spacing between the real clutter value levels of the kth clutter value information space and other clutter value information spaces in the clutter value information space. The lower the value, the higher the approximation between the kth clutter value information space and other clutter value information spaces. EUX(k,j) represents the approximation between the kth clutter value information space and the jth clutter value information space. The EUX(k,j) of this application represents the LB_keogh value between the kth clutter value information space and the jth clutter value information space. The lower the LB_keogh value, the higher the approximation, so the higher the importance. Represents the difference between the kth clutter value information space and other non-clutter value intervals.

[0084] In a preferred but non-limiting embodiment of the present invention, step 4 specifically further includes: performing standardization on the importance of each information space according to the importance of the entire clutter value information space to obtain the final importance of each information space, and the calculation equation is:

[0085]

[0086] In the equation, r k represents the final importance of the k-th clutter value information space, rk represents the importance of the k-th clutter value information space, and P represents the number of clutter value information spaces.

[0087] Thus, the final importance of each clutter value information space is obtained.

[0088] Step 5: Perform noise elimination on the source building BIM information.

[0089] In a preferred but non-limiting embodiment of the present invention, step 5 specifically includes: performing a wavelet transform method on each clutter value information space to obtain a corresponding frequency domain, performing multiplication on each information point in the frequency domain according to the final importance of each clutter value information space obtained, and the set formed by the multiplied values ​​is the clutter domain of the sub-period cluster corresponding to the clutter value information space;

[0090] According to the obtained clutter domain of each sub-time period cluster, the source building BIM information is then subjected to clutter removal through the Wiener filtering method to obtain the building BIM information after clutter removal. The building BIM information after clutter removal is the sorted building BIM information.

[0091] like Figure 2 As shown, the transmission control device for building BIM information described in the present invention includes:

[0092] A sensor group is arranged in a building, and the sensor group is connected to a BIM operation and maintenance controller by wireless communication. The BIM operation and maintenance controller is also connected to a backup terminal by wireless communication. The sensor group is used to sample the building BIM information and transmit it to the BIM operation and maintenance controller. The sensor group contains a wireless temperature sensor, a wireless carbon monoxide concentration sensor, a wireless methane sensor and a wireless oxygen concentration sensor. The wireless temperature sensor, the wireless carbon monoxide concentration sensor, the wireless methane sensor and the wireless oxygen concentration sensor are all connected to the BIM operation and maintenance controller by wireless communication. The architecture of the wireless communication connection is as follows: the BIM operation and maintenance controller is connected to a wireless communication module 1, and the BIM operation and maintenance controller is connected to each sensor in the sensor group by wireless communication through the wireless communication module. The wireless communication module 1 can be a Bluetooth module. The wireless temperature sensor, the wireless carbon monoxide concentration sensor, the wireless methane sensor and the wireless oxygen concentration sensor are all provided with a Bluetooth module connected to the wireless communication module 1 by Bluetooth. The value sampled by the wireless temperature sensor, the wireless carbon monoxide concentration sensor, the wireless methane sensor or the wireless oxygen concentration sensor is the building BIM information. The backup terminal can be a computer, and the BIM operation and maintenance controller (which can be a single-chip microcomputer or a PLC) is also wirelessly connected to the backup terminal. The structure is: the BIM operation and maintenance controller is also connected to the wireless communication module 2, and the BIM operation and maintenance controller is wirelessly connected to the backup terminal in the wireless network via the wireless communication module 2. The wireless communication module 2 can be a 4G module, and the wireless network can be a 4G network.

[0093] The BIM operation and maintenance controller is used to collect building BIM information for sorting, and to perform operation and maintenance control on the sorted building BIM information and transmit it to the backup terminal for backup; the operation and maintenance control method can be the working process mentioned in the prior art solution with patent publication number "CN205450707U".

[0094] The modules running on the BIM operation and maintenance controller include:

[0095] A pre-processing module, which is used to receive the building BIM information sampled by the sensor group and perform pre-processing on the acquired building BIM information;

[0096] A clustering module is used to perform clustering on the source building BIM information, so as to obtain several information spaces of the building BIM information of the reference sub-period cluster;

[0097] A calculation module, which is used to calculate the real clutter value level in the information space and identify the clutter value cluster, which is the clutter value space;

[0098] An importance module, which is used to obtain the importance of each clutter value information space, thereby obtaining the final importance of each information space;

[0099] The clutter removal module is used to remove clutter from the source building BIM information.

[0100] The beneficial effects of the present invention are that, compared with the prior art, the technical effects of the present invention include:

[0101] When the building BIM information is subjected to the denoising by the Wiener filter method, since the building BIM information contains different information sources, the current Wiener filter method is inaccurate in the denoising by the denoising in the denoising domain. Therefore, the present invention performs analysis on the source building BIM information, first obtains the sub-period cluster of the source building BIM information, and obtains several information spaces according to the change of information in the sub-period cluster; then obtains the denoising information space and the non-denoising information space according to the difference of the information change between the information spaces, and then obtains the importance of each denoising information space through the difference of the real denoising level between the denoising information space and the non-denoising information space, and then performs the denoising by the Wiener filter method on the source building BIM information according to the obtained importance. The present invention can distinguish the building BIM information with several information sources, so as to make the denoising of the source building BIM information more complete, and can clearly identify the valid building BIM information contained in the source building BIM information.

[0102] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not deviate from the spirit and scope of the present invention should be covered within the protection space of the claims of the present invention.

Claims

1. A transmission control method for building BIM information, characterized in that: include: The sensor group samples the building BIM information and transmits it to the BIM operation and maintenance controller; The BIM operation and maintenance controller receives the building BIM information to perform sorting, and transmits the sorted building BIM information to the backup terminal for backup; The method of receiving building BIM information for sorting by a BIM operation and maintenance controller and transmitting the sorted building BIM information to a backup terminal includes: Step 1: Receive the building BIM information sampled by the sensor group and perform pre-processing on the acquired building BIM information; Step 2: Clustering the source building BIM information to obtain several information spaces of the building BIM information of the reference sub-period cluster; Step 3: Calculate the real clutter value level in the information space and identify the clutter value cluster, which is the clutter value space; Step 4: Obtain the importance of each clutter value information space, thereby obtaining the final importance of each information space; Step 5: Perform noise elimination on the source building BIM information.

2. The transmission control method for building BIM information according to claim 1 is characterized in that: In step 1, a method for performing pre-processing on the acquired building BIM information includes: performing completion processing on the acquired building BIM information, wherein the completion processing uses a random forest interpolation method to complete the building BIM information; and defining the processed building BIM information as source building BIM information.

3. The transmission control method for building BIM information according to claim 2 is characterized in that: Step 2 specifically includes: Initially, the obtained source building BIM information is divided into sub-period clusters, and the duration value obtained by subtracting the sampling time of the source building BIM information first sampled in the sub-period cluster from the sampling time of the last sampled source building BIM information in each sub-period cluster is 0.04 microseconds. When the duration value obtained by subtracting the sampling time of the source building BIM information first sampled in the sub-period cluster from the sampling time of the last sampled source building BIM information in the sub-period cluster obtained by the last cutting is less than 0.04 microseconds, the sub-period cluster is still regarded as a sub-period cluster, thereby obtaining several sub-period clusters, defining any sub-period cluster as the building BIM information of the base sub-period cluster, and then applying the Blackman window to perform slow-varying processing on the building BIM information of the base sub-period cluster; Step 2 specifically also includes: In the building BIM information of the reference sub-period cluster, first obtain all the peak and valley value points in the building BIM information of the reference sub-period cluster, the peak and valley value points include peak values ​​and valley values; arrange the peak and valley value points in the order of their sampling time from first to last, and obtain the peak and valley value queue one, then in the peak and valley value queue one, the time distance between the sampling time of the first information point and the sampling time of the second information point is defined as Δu1, and the time distance between the sampling time of the second information point and the third information point is defined as Δu2, and then obtain the time distance Δu between the sampling times of all adjacent information points in the peak and valley value queue one p , where {1,2,...,p} represents the sequence code. Then, the sequence code is regarded as the value on the X-axis and the time interval as the value on the Y-axis to construct a Cartesian system.

4. The transmission control method for building BIM information according to claim 3 is characterized in that: Step 2 specifically also includes: Use the RANSAC method to perform regression on the information points in the Cartesian system to obtain the regression line equation. The equation of the regression line is defined as y = g(x). and The operation of The value of is 0 and The information points whose values ​​are not 0 contain several information points, which are defined as reference information points. If the time interval between the sampling moments of a pair of consecutive reference information points is less than R = 0.001 microseconds, the pair of information points are classified into the same information space, and then all the reference information points are cut to obtain several information spaces.

5. The transmission control method for building BIM information according to claim 4 is characterized in that: Step 3 specifically includes: defining an arbitrary information space as a reference information space, and the operation equation of the real clutter value level in the reference information space is: In the equation, represents the real clutter value level of the reference information space, [u1, u2] represents the corresponding sampling time range of the reference information space, u1 represents the first sampling time in the sampling time range, and u2 represents the last sampling time in the sampling time range; G(x) represents the regression line equation of the source building BIM information, and g(x) represents the regression line equation of the information points in the constructed Cartesian system. Represents the standard deviation of the information points of the regression line equation g(x) within the sampling time range, Represents the use of Z-score method to Implement standardization.

6. The transmission control method for building BIM information according to claim 5 is characterized in that: Step 3 specifically also includes: based on the actual clutter value level of the obtained reference information space, pre-defining a critical value U1=0.78, when the actual clutter value level is higher than U1, defining the corresponding information space as a clutter value information space; when the actual clutter value level is not higher than U1, defining the corresponding information space as a non-clutter value information space.

7. The transmission control method for building BIM information according to claim 6, characterized in that: Step 4 specifically includes: the calculation equation of the importance of the kth clutter value information space is: In the equation, r k represents the importance of the k-th clutter value information space, represents the real clutter value level of the kth clutter value information space, represents the true clutter value level of the jth clutter value information space, EUX(k,j) represents the approximation between the kth clutter value information space and the jth clutter value information space, represents the true clutter value level of the u-th non-clutter value information space, P represents the number of clutter value information spaces, N represents the number of non-clutter value intervals, and e represents the Euler number.

8. The transmission control method for building BIM information according to claim 7, characterized in that: Step 4 specifically includes: normalizing the importance of each information space according to the importance of the entire clutter value information space to obtain the final importance of each information space, and the calculation equation is: In the equation, r' k represents the final importance of the kth clutter value information space, r k represents the importance of the kth clutter value information space, and P represents the number of clutter value information spaces.

9. The transmission control method for building BIM information according to claim 8, characterized in that: Step 5 specifically includes: performing a wavelet transform method on each clutter value information space to obtain a corresponding frequency domain, performing multiplication on each information point in the frequency domain according to the final importance of each clutter value information space obtained, and the set formed by the multiplied values ​​is the clutter domain of the corresponding sub-time period cluster of the clutter value information space; According to the obtained clutter domain of each sub-time period cluster, the source building BIM information is then subjected to clutter removal through the Wiener filtering method to obtain the building BIM information after clutter removal. The building BIM information after clutter removal is the sorted building BIM information.

10. A transmission control device for building BIM information, characterized in that: include: A sensor group is installed in the building, the sensor group is connected to the BIM operation and maintenance controller by wireless communication, and the BIM operation and maintenance controller is also connected to the backup terminal by wireless communication, and the sensor group is used to sample the building BIM information and transmit it to the BIM operation and maintenance controller; The BIM operation and maintenance controller is used to collect the building BIM information for sorting, and transmit the sorted building BIM information to the backup terminal for backup; The modules running on the BIM operation and maintenance controller include: A pre-processing module, which is used to receive the building BIM information sampled by the sensor group and perform pre-processing on the acquired building BIM information; A clustering module is used to perform clustering on the source building BIM information, so as to obtain several information spaces of the building BIM information of the reference sub-period cluster; A calculation module, which is used to calculate the real clutter value level in the information space and identify the clutter value cluster, which is the clutter value space; An importance module, which is used to obtain the importance of each clutter value information space, thereby obtaining the final importance of each information space; The clutter removal module is used to remove clutter from the source building BIM information.

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